From a035c58c95373c9ed37baa1078df84b984d324a6 Mon Sep 17 00:00:00 2001
From: Norm Rasmussen <norman.rasmussen@me.com>
Date: Tue, 8 Apr 2025 10:22:57 -0400
Subject: [PATCH] Cleaned up some folders and small Walmart template changes.

---
 .../_training_session_status.html.liquid      |    2 +-
 .../_catalog_categories.html.liquid           |    2 +-
 .../_widget_course_progress.html.liquid       |    3 +
 .../transcript.html.liquid                    |   14 +
 Scripts/.DS_Store                             |  Bin 10244 -> 10244 bytes
 Scripts/API_Tests/Chubb_MCA.csv.gz            |  Bin 0 -> 600144 bytes
 Scripts/API_Tests/Client_API_Extract.csv.gz   |  Bin 14352 -> 600144 bytes
 Scripts/API_Tests/Client_File.csv.gz          |  Bin 14342 -> 600142 bytes
 Scripts/API_Tests/Untitled.ipynb              |  269 --
 Scripts/API_Tests/Untitled1.ipynb             | 1095 -----
 Scripts/API_Tests/antho_tmp.csv               |   25 -
 Scripts/API_Tests/get_analytics_extracts.py   |   30 +
 Scripts/G2_Unenroll/g2mca.csv                 | 1957 ---------
 Scripts/G2_Unenroll/g2mca_112122.csv          | 1962 ---------
 Scripts/G2_Unenroll/skuid_lp.py               |   27 -
 Scripts/Jupyter/Churned_Learners.ipynb        | 2782 -------------
 Scripts/Jupyter/Untitled.ipynb                |  992 -----
 Scripts/Jupyter/app_usage.ipynb               | 1004 -----
 .../Jupyter/arr_pageviews_playground.ipynb    | 3594 -----------------
 Scripts/Jupyter/cust_arr_usage.ipynb          | 2474 ------------
 Scripts/Jupyter/cust_counts.ipynb             |  725 ----
 Scripts/Jupyter/page_views_cats.ipynb         |  524 ---
 Scripts/Jupyter/sketch_tests.ipynb            | 1150 ------
 23 files changed, 49 insertions(+), 18582 deletions(-)
 create mode 100644 Scripts/API_Tests/Chubb_MCA.csv.gz
 delete mode 100644 Scripts/API_Tests/Untitled.ipynb
 delete mode 100644 Scripts/API_Tests/Untitled1.ipynb
 delete mode 100644 Scripts/API_Tests/antho_tmp.csv
 create mode 100644 Scripts/API_Tests/get_analytics_extracts.py
 delete mode 100644 Scripts/G2_Unenroll/g2mca.csv
 delete mode 100644 Scripts/G2_Unenroll/g2mca_112122.csv
 delete mode 100644 Scripts/G2_Unenroll/skuid_lp.py
 delete mode 100644 Scripts/Jupyter/Churned_Learners.ipynb
 delete mode 100644 Scripts/Jupyter/Untitled.ipynb
 delete mode 100644 Scripts/Jupyter/app_usage.ipynb
 delete mode 100644 Scripts/Jupyter/arr_pageviews_playground.ipynb
 delete mode 100644 Scripts/Jupyter/cust_arr_usage.ipynb
 delete mode 100644 Scripts/Jupyter/cust_counts.ipynb
 delete mode 100644 Scripts/Jupyter/page_views_cats.ipynb
 delete mode 100644 Scripts/Jupyter/sketch_tests.ipynb

diff --git a/Custom_Templates/customer_templates/BuilderTrend External/_training_session_status.html.liquid b/Custom_Templates/customer_templates/BuilderTrend External/_training_session_status.html.liquid
index 78506672..5077bcb8 100644
--- a/Custom_Templates/customer_templates/BuilderTrend External/_training_session_status.html.liquid	
+++ b/Custom_Templates/customer_templates/BuilderTrend External/_training_session_status.html.liquid	
@@ -7,7 +7,7 @@
 
 <script>
     document.addEventListener("DOMContentLoaded", () => {
-  const btn = document.querySelector('.event-status');
+  const btn = document.querySelector('.np-training-session-cta-note');
 
   if (btn) {
     const eventId = btn.getAttribute('data-event-id');
diff --git a/Custom_Templates/customer_templates/Walmart Supplier Prod/_catalog_categories.html.liquid b/Custom_Templates/customer_templates/Walmart Supplier Prod/_catalog_categories.html.liquid
index 92095d81..c4e707df 100644
--- a/Custom_Templates/customer_templates/Walmart Supplier Prod/_catalog_categories.html.liquid	
+++ b/Custom_Templates/customer_templates/Walmart Supplier Prod/_catalog_categories.html.liquid	
@@ -11,7 +11,7 @@
         {% for course in courses.in_catalog %}
             {% for category in course.categories %}
                 {% if available_categories contains category.name %}
-					<script> console.log("{{ course.name }} + {{ category.name }}")</script>
+					{% comment %} <script> console.log("{{ course.name }} + {{ category.name }}")</script> {% endcomment %}
                     {% unless uniq_cats contains category.name %}
                         <a class="category-card" id="{{category.name}}" href="/app/catalog?filter[category_uuid][in][]={{category.id}}&search_terms=">
                             <img class="category-card-image" src="" alt="">
diff --git a/Custom_Templates/customer_templates/Walmart Supplier Prod/_widget_course_progress.html.liquid b/Custom_Templates/customer_templates/Walmart Supplier Prod/_widget_course_progress.html.liquid
index ea578c11..2db3ec3d 100644
--- a/Custom_Templates/customer_templates/Walmart Supplier Prod/_widget_course_progress.html.liquid	
+++ b/Custom_Templates/customer_templates/Walmart Supplier Prod/_widget_course_progress.html.liquid	
@@ -19,15 +19,18 @@
       {% for course in courses.enrolled %}
         {% assign countTotal = countTotal | plus: 1 %}
         {% if course.progress == 100 %}
+					<script> console.log('{{ course.name }}--{{ course.progress}}') </script>
           {% assign countComplete = countComplete | plus: 1 %}
         {% endif %}
         {% if course.progress > 0 and course.progress < 100 %}
+					<script> console.log('{{ course.name }}--{{ course.progress}}') </script>
           {% assign countInProgress = countInProgress | plus: 1 %}
         {% endif %}
         {% if course.progress == 0 %}
           {% assign countNotStarted = countNotStarted | plus: 1 %}
         {% endif %}
       {% endfor %}
+				<script> console.log('{{ countTotal }}')</script>
       <ul class="progress-circle-list">
         <li>
           {%
diff --git a/Custom_Templates/customer_templates/Walmart Supplier Prod/transcript.html.liquid b/Custom_Templates/customer_templates/Walmart Supplier Prod/transcript.html.liquid
index b6cb5428..2d57ea0f 100644
--- a/Custom_Templates/customer_templates/Walmart Supplier Prod/transcript.html.liquid	
+++ b/Custom_Templates/customer_templates/Walmart Supplier Prod/transcript.html.liquid	
@@ -6,3 +6,17 @@
 </main>
 
 {% include "footer" %}
+
+<script>
+$(document).ready(function() {
+  if(document.querySelector('[class="sc-cjbZfG loiSUP Transcript_Caption"]').innerHTML.includes('Transcript for')) {
+	  document.querySelector('[class="sc-cjbZfG loiSUP Transcript_Caption"]').innerHTML = "<h3 class='sc-cjbZfG loiSUP Transcript_Caption'>Transcript</h3>";
+	}
+  });
+</script>
+
+<style>
+.Transcript_Caption {
+	color: white;
+}
+</style>
diff --git a/Scripts/.DS_Store b/Scripts/.DS_Store
index 38a05c82feb1265285258a18f84ad27bed71070b..a70564390501e6b253da5bd954f43357d3a8f50b 100644
GIT binary patch
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diff --git a/Scripts/API_Tests/Chubb_MCA.csv.gz b/Scripts/API_Tests/Chubb_MCA.csv.gz
new file mode 100644
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diff --git a/Scripts/API_Tests/Client_API_Extract.csv.gz b/Scripts/API_Tests/Client_API_Extract.csv.gz
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diff --git a/Scripts/API_Tests/Untitled.ipynb b/Scripts/API_Tests/Untitled.ipynb
deleted file mode 100644
index 35e51e0f..00000000
--- a/Scripts/API_Tests/Untitled.ipynb
+++ /dev/null
@@ -1,269 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "3bc892c3",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "hello world\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(\"hello world\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "725bdfc5",
-   "metadata": {},
-   "source": [
-    "This is a markdown tile. Testing. this."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "89eea5d5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OrgID</th>\n",
-       "      <th>Organization</th>\n",
-       "      <th>Churn Date</th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30867753</td>\n",
-       "      <td>Aquent</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>26</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>33375202</td>\n",
-       "      <td>BioLife Solutions, Inc.</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867495</td>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>32999202</td>\n",
-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>10,362</td>\n",
-       "      <td>7,890</td>\n",
-       "      <td>7,272</td>\n",
-       "      <td>8,177</td>\n",
-       "      <td>8,468</td>\n",
-       "      <td>7,524</td>\n",
-       "      <td>8,509</td>\n",
-       "      <td>5,638</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30867752</td>\n",
-       "      <td>Casio America Inc</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      OrgID                     Organization Churn Date 2022-01 2022-02   \n",
-       "0  30867753                           Aquent    2023-04      58      38  \\\n",
-       "1  33375202          BioLife Solutions, Inc.    2023-04      11       7   \n",
-       "2  30867495         ZyXel Communications Inc    2023-04       1       1   \n",
-       "3  32999202  BrightLine Eating Solutions LLC    2023-03  10,362   7,890   \n",
-       "4  30867752                Casio America Inc    2023-03     NaN     NaN   \n",
-       "\n",
-       "  2022-03 2022-04 2022-05 2022-06 2022-07 2022-08  2022-09  2022-10  2022-11   \n",
-       "0      50      50      39      36      46      46     43.0     27.0     24.0  \\\n",
-       "1       4      11       4     NaN     NaN     NaN      NaN      NaN      NaN   \n",
-       "2       2       1       2       4       2       2      1.0      NaN      NaN   \n",
-       "3   7,272   8,177   8,468   7,524   8,509   5,638    581.0      NaN      NaN   \n",
-       "4     NaN     NaN     NaN       1     NaN     NaN      NaN      NaN      NaN   \n",
-       "\n",
-       "  2022-12 2023-01  2023-02  2023-03  2023-04  \n",
-       "0      26      22      8.0     10.0      2.0  \n",
-       "1     NaN     NaN      NaN      NaN      NaN  \n",
-       "2     NaN     NaN      1.0      1.0      NaN  \n",
-       "3     NaN     NaN      NaN      NaN      NaN  \n",
-       "4     NaN     NaN      NaN      NaN      NaN  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import sketch\n",
-    "cd = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\")\n",
-    "cd.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "b7cf96bb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Replace all NaN values with 0\n",
-    "cd.fillna(0, inplace=True)\n",
-    "\n",
-    "# Remove all commas from strings\n",
-    "cd.replace(',','', regex=True, inplace=True)\n",
-    "\n",
-    "# Convert all strings after the column 'Churn Data' to integers\n",
-    "for col in cd.columns[4:]:\n",
-    "    cd[col] = cd[col].astype(int)\n",
-    "\n",
-    "cd.drop(columns=['OrgID'], inplace=True)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Scripts/API_Tests/Untitled1.ipynb b/Scripts/API_Tests/Untitled1.ipynb
deleted file mode 100644
index e3e0aaa3..00000000
--- a/Scripts/API_Tests/Untitled1.ipynb
+++ /dev/null
@@ -1,1095 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "id": "c22eadc2",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OrgID</th>\n",
-       "      <th>Organization</th>\n",
-       "      <th>Churn Date</th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30867753</td>\n",
-       "      <td>Aquent</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>26</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>33375202</td>\n",
-       "      <td>BioLife Solutions, Inc.</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867495</td>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>32999202</td>\n",
-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>10,362</td>\n",
-       "      <td>7,890</td>\n",
-       "      <td>7,272</td>\n",
-       "      <td>8,177</td>\n",
-       "      <td>8,468</td>\n",
-       "      <td>7,524</td>\n",
-       "      <td>8,509</td>\n",
-       "      <td>5,638</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30867752</td>\n",
-       "      <td>Casio America Inc</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      OrgID                     Organization Churn Date 2022-01 2022-02   \n",
-       "0  30867753                           Aquent    2023-04      58      38  \\\n",
-       "1  33375202          BioLife Solutions, Inc.    2023-04      11       7   \n",
-       "2  30867495         ZyXel Communications Inc    2023-04       1       1   \n",
-       "3  32999202  BrightLine Eating Solutions LLC    2023-03  10,362   7,890   \n",
-       "4  30867752                Casio America Inc    2023-03     NaN     NaN   \n",
-       "\n",
-       "  2022-03 2022-04 2022-05 2022-06 2022-07 2022-08  2022-09  2022-10  2022-11   \n",
-       "0      50      50      39      36      46      46     43.0     27.0     24.0  \\\n",
-       "1       4      11       4     NaN     NaN     NaN      NaN      NaN      NaN   \n",
-       "2       2       1       2       4       2       2      1.0      NaN      NaN   \n",
-       "3   7,272   8,177   8,468   7,524   8,509   5,638    581.0      NaN      NaN   \n",
-       "4     NaN     NaN     NaN       1     NaN     NaN      NaN      NaN      NaN   \n",
-       "\n",
-       "  2022-12 2023-01  2023-02  2023-03  2023-04  \n",
-       "0      26      22      8.0     10.0      2.0  \n",
-       "1     NaN     NaN      NaN      NaN      NaN  \n",
-       "2     NaN     NaN      1.0      1.0      NaN  \n",
-       "3     NaN     NaN      NaN      NaN      NaN  \n",
-       "4     NaN     NaN      NaN      NaN      NaN  "
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import sketch\n",
-    "import numpy as np\n",
-    "cd = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\")\n",
-    "cd.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "id": "e477c8d4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OrgID</th>\n",
-       "      <th>Organization</th>\n",
-       "      <th>Churn Date</th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30867753</td>\n",
-       "      <td>Aquent</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43</td>\n",
-       "      <td>27</td>\n",
-       "      <td>24</td>\n",
-       "      <td>26</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>33375202</td>\n",
-       "      <td>BioLife Solutions Inc.</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867495</td>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
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-       "      <td>4</td>\n",
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-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>32999202</td>\n",
-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>10362</td>\n",
-       "      <td>7890</td>\n",
-       "      <td>7272</td>\n",
-       "      <td>8177</td>\n",
-       "      <td>8468</td>\n",
-       "      <td>7524</td>\n",
-       "      <td>8509</td>\n",
-       "      <td>5638</td>\n",
-       "      <td>581</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30867752</td>\n",
-       "      <td>Casio America Inc</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      OrgID                     Organization Churn Date 2022-01  2022-02   \n",
-       "0  30867753                           Aquent    2023-04      58       38  \\\n",
-       "1  33375202           BioLife Solutions Inc.    2023-04      11        7   \n",
-       "2  30867495         ZyXel Communications Inc    2023-04       1        1   \n",
-       "3  32999202  BrightLine Eating Solutions LLC    2023-03   10362     7890   \n",
-       "4  30867752                Casio America Inc    2023-03       0        0   \n",
-       "\n",
-       "   2022-03  2022-04  2022-05  2022-06  2022-07  2022-08  2022-09  2022-10   \n",
-       "0       50       50       39       36       46       46       43       27  \\\n",
-       "1        4       11        4        0        0        0        0        0   \n",
-       "2        2        1        2        4        2        2        1        0   \n",
-       "3     7272     8177     8468     7524     8509     5638      581        0   \n",
-       "4        0        0        0        1        0        0        0        0   \n",
-       "\n",
-       "   2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  \n",
-       "0       24       26       22        8       10        2  \n",
-       "1        0        0        0        0        0        0  \n",
-       "2        0        0        0        1        1        0  \n",
-       "3        0        0        0        0        0        0  \n",
-       "4        0        0        0        0        0        0  "
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Replace all NaN values with 0\n",
-    "cd.fillna(0, inplace=True)\n",
-    "cd.replace(np.inf, 0)\n",
-    "\n",
-    "# Remove all commas from strings\n",
-    "cd.replace(',','', regex=True, inplace=True)\n",
-    "\n",
-    "# Convert all strings after the column 'Churn Data' to integers\n",
-    "for col in cd.columns[4:]:\n",
-    "    cd[col] = cd[col].astype(int)\n",
-    "\n",
-    "cd.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "id": "06f9cb22",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43</td>\n",
-       "      <td>27</td>\n",
-       "      <td>24</td>\n",
-       "      <td>26</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>10362</td>\n",
-       "      <td>7890</td>\n",
-       "      <td>7272</td>\n",
-       "      <td>8177</td>\n",
-       "      <td>8468</td>\n",
-       "      <td>7524</td>\n",
-       "      <td>8509</td>\n",
-       "      <td>5638</td>\n",
-       "      <td>581</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>81</td>\n",
-       "      <td>19</td>\n",
-       "      <td>51</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "      <td>32</td>\n",
-       "      <td>79</td>\n",
-       "      <td>68</td>\n",
-       "      <td>35</td>\n",
-       "      <td>23</td>\n",
-       "      <td>33</td>\n",
-       "      <td>25</td>\n",
-       "      <td>75</td>\n",
-       "      <td>71</td>\n",
-       "      <td>29</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>386</td>\n",
-       "      <td>378</td>\n",
-       "      <td>396</td>\n",
-       "      <td>732</td>\n",
-       "      <td>947</td>\n",
-       "      <td>762</td>\n",
-       "      <td>1203</td>\n",
-       "      <td>889</td>\n",
-       "      <td>438</td>\n",
-       "      <td>178</td>\n",
-       "      <td>115</td>\n",
-       "      <td>214</td>\n",
-       "      <td>92</td>\n",
-       "      <td>165</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>7</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6</td>\n",
-       "      <td>6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>63</td>\n",
-       "      <td>15</td>\n",
-       "      <td>10</td>\n",
-       "      <td>4</td>\n",
-       "      <td>8</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>6</td>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>28</td>\n",
-       "      <td>27</td>\n",
-       "      <td>79</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>2</td>\n",
-       "      <td>37</td>\n",
-       "      <td>19</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>38</td>\n",
-       "      <td>24</td>\n",
-       "      <td>6</td>\n",
-       "      <td>21</td>\n",
-       "      <td>35</td>\n",
-       "      <td>10</td>\n",
-       "      <td>7</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>22</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>381</td>\n",
-       "      <td>677</td>\n",
-       "      <td>583</td>\n",
-       "      <td>671</td>\n",
-       "      <td>515</td>\n",
-       "      <td>380</td>\n",
-       "      <td>181</td>\n",
-       "      <td>449</td>\n",
-       "      <td>12</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>721</td>\n",
-       "      <td>775</td>\n",
-       "      <td>825</td>\n",
-       "      <td>606</td>\n",
-       "      <td>578</td>\n",
-       "      <td>501</td>\n",
-       "      <td>497</td>\n",
-       "      <td>543</td>\n",
-       "      <td>628</td>\n",
-       "      <td>505</td>\n",
-       "      <td>650</td>\n",
-       "      <td>1270</td>\n",
-       "      <td>1957</td>\n",
-       "      <td>190</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>20</td>\n",
-       "      <td>8</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>2766</td>\n",
-       "      <td>2895</td>\n",
-       "      <td>2633</td>\n",
-       "      <td>2378</td>\n",
-       "      <td>2263</td>\n",
-       "      <td>2143</td>\n",
-       "      <td>2060</td>\n",
-       "      <td>587</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>9</td>\n",
-       "      <td>18</td>\n",
-       "      <td>33</td>\n",
-       "      <td>8</td>\n",
-       "      <td>8</td>\n",
-       "      <td>5</td>\n",
-       "      <td>13</td>\n",
-       "      <td>28</td>\n",
-       "      <td>14</td>\n",
-       "      <td>15</td>\n",
-       "      <td>6</td>\n",
-       "      <td>13</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>126</td>\n",
-       "      <td>158</td>\n",
-       "      <td>136</td>\n",
-       "      <td>64</td>\n",
-       "      <td>75</td>\n",
-       "      <td>96</td>\n",
-       "      <td>83</td>\n",
-       "      <td>63</td>\n",
-       "      <td>38</td>\n",
-       "      <td>13</td>\n",
-       "      <td>10</td>\n",
-       "      <td>14</td>\n",
-       "      <td>13</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>404</td>\n",
-       "      <td>424</td>\n",
-       "      <td>334</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>13</td>\n",
-       "      <td>10</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3</td>\n",
-       "      <td>7</td>\n",
-       "      <td>21</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4</td>\n",
-       "      <td>8</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>20</td>\n",
-       "      <td>197</td>\n",
-       "      <td>24</td>\n",
-       "      <td>9</td>\n",
-       "      <td>23</td>\n",
-       "      <td>21</td>\n",
-       "      <td>38</td>\n",
-       "      <td>15</td>\n",
-       "      <td>4</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>29</td>\n",
-       "      <td>5</td>\n",
-       "      <td>7</td>\n",
-       "      <td>9</td>\n",
-       "      <td>12</td>\n",
-       "      <td>20</td>\n",
-       "      <td>4</td>\n",
-       "      <td>38</td>\n",
-       "      <td>10</td>\n",
-       "      <td>7</td>\n",
-       "      <td>15</td>\n",
-       "      <td>99</td>\n",
-       "      <td>128</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   2022-01  2022-02  2022-03  2022-04  2022-05  2022-06  2022-07  2022-08   \n",
-       "0       58       38       50       50       39       36       46       46  \\\n",
-       "1       11        7        4       11        4        0        0        0   \n",
-       "2        1        1        2        1        2        4        2        2   \n",
-       "3    10362     7890     7272     8177     8468     7524     8509     5638   \n",
-       "4        0        0        0        0        0        1        0        0   \n",
-       "5       81       19       51       26       26       32       79       68   \n",
-       "6        0        0        0        0        0        4        1        0   \n",
-       "7      386      378      396      732      947      762     1203      889   \n",
-       "8        0        1        1        2        7        5        4        5   \n",
-       "9       63       15       10        4        8        2        3        0   \n",
-       "10      28       27       79       17        1        3        8        0   \n",
-       "11       2       37       19        2        1       38       24        6   \n",
-       "12       0        1        4       22        2        1        7        0   \n",
-       "13     381      677      583      671      515      380      181      449   \n",
-       "14     721      775      825      606      578      501      497      543   \n",
-       "15       0        5        5       20        8        7        4        3   \n",
-       "16    2766     2895     2633     2378     2263     2143     2060      587   \n",
-       "17       0        0        0        0        0        0        0        0   \n",
-       "18       0        1        2        2        0        1        2        0   \n",
-       "19       9       18       33        8        8        5       13       28   \n",
-       "20     126      158      136       64       75       96       83       63   \n",
-       "21       4        2        1        0        0        0        0        0   \n",
-       "22     404      424      334        0        0        0        0        0   \n",
-       "23      13       10        6        3        7       21        2        5   \n",
-       "24       0        0        0        0        0        0        0        0   \n",
-       "25      20      197       24        9       23       21       38       15   \n",
-       "26      29        5        7        9       12       20        4       38   \n",
-       "\n",
-       "    2022-09  2022-10  2022-11  2022-12  2023-01  2023-02  2023-03  2023-04  \n",
-       "0        43       27       24       26       22        8       10        2  \n",
-       "1         0        0        0        0        0        0        0        0  \n",
-       "2         1        0        0        0        0        1        1        0  \n",
-       "3       581        0        0        0        0        0        0        0  \n",
-       "4         0        0        0        0        0        0        0        0  \n",
-       "5        35       23       33       25       75       71       29        4  \n",
-       "6         0        0        0       19        3        0        0        0  \n",
-       "7       438      178      115      214       92      165        0        0  \n",
-       "8         6        6        0        0        0        0        0        0  \n",
-       "9         4        4        6        5        5        2        0        0  \n",
-       "10        1        0        1        1        2        0        0        0  \n",
-       "11       21       35       10        7        1        0        0        0  \n",
-       "12        0        0        0        2        0        2        0        0  \n",
-       "13       12        0        1        1        1        0        0        0  \n",
-       "14      628      505      650     1270     1957      190        0        0  \n",
-       "15        4        0       10        9        0        1        0        0  \n",
-       "16        0        0        0        0        0        0        0        0  \n",
-       "17        0        0        0        0        0        0        0        0  \n",
-       "18        2        1        2        0        1        0        0        0  \n",
-       "19       14       15        6       13        6        2        0        0  \n",
-       "20       38       13       10       14       13        3        0        0  \n",
-       "21        0        0        0        0        1        0        0        0  \n",
-       "22        0        0        0        0        0        0        0        0  \n",
-       "23        8        5        4        8        2        2        0        0  \n",
-       "24        0        0        0        0        0        1        1        0  \n",
-       "25        4       10        2        3        4        4        0        0  \n",
-       "26       10        7       15       99      128       11        0        0  "
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Create a copy of the dataframe\n",
-    "cd_scaled = cd.copy()\n",
-    "cd_scaled = cd_scaled.drop(['Organization', 'Churn Date', 'OrgID'], axis=1)\n",
-    "cd_scaled.head(100)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "af57bdc4",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "ZeroDivisionError",
-     "evalue": "division by zero",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[66], line 9\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# Scale each value in the row using min-max scaling\u001b[39;00m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m col \u001b[38;5;129;01min\u001b[39;00m row[\u001b[38;5;241m2\u001b[39m:]:\n\u001b[0;32m----> 9\u001b[0m     cd_scaled\u001b[38;5;241m.\u001b[39mloc[index, col] \u001b[38;5;241m=\u001b[39m \u001b[43m(\u001b[49m\u001b[43mcol\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mmin_val\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mmax_val\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mmin_val\u001b[49m\u001b[43m)\u001b[49m\n",
-      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
-     ]
-    }
-   ],
-   "source": [
-    "# Iterate over each row in the dataframe\n",
-    "for index, row in cd_scaled.iterrows():\n",
-    "    # Get the min and max values for the row\n",
-    "    min_val = int(row[1:].min())\n",
-    "    max_val = int(row[1:].max())\n",
-    "\n",
-    "    # Scale each value in the row using min-max scaling\n",
-    "    for col in row[2:]:\n",
-    "        cd_scaled.loc[index, col] = (col - min_val) / (max_val - min_val)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Scripts/API_Tests/antho_tmp.csv b/Scripts/API_Tests/antho_tmp.csv
deleted file mode 100644
index 2be2c68a..00000000
--- a/Scripts/API_Tests/antho_tmp.csv
+++ /dev/null
@@ -1,25 +0,0 @@
-"Evaluate: Implementation Training 1 - Configuration and Setting","b2f38d8e-9262-4b30-8674-3c1e6a79bf54"
-"Evaluate: Implementation Training 2 - Establish and Launch Evaluations","aa7d84cb-d2c6-475a-961e-19233ed01b40"
-"Evaluate: Implementation Training 3 - User Experience","45e3aeba-3923-46f7-853a-a9317692339a"
-"Evaluate: Implementation Training 4 - Reporting","55841904-8c6a-4676-a43f-b5cdd360973e"
-"Evaluate: New Feature Releases","c19a3ced-d66b-4524-bc96-7a7aa7443151"
-"Evaluate: The Mailing Center","6d20dd98-99d1-4659-83d8-2354e096b90e"
-"Evaluate: New Faculty Training","7edfe3cf-db22-4476-9791-8fe066680733"
-"Evaluate: Site Administrator Transition","8f743b2c-d32e-462a-8a55-0c4e7bcf24f4"
-"Evaluate: The Student Experience","27a3dd65-409e-4983-a2de-4269d3b490e3"
-"Raise: System Administration - Customizing Entities, Fields, and Relationships Training Manual","b8ce96a5-f895-4d5f-ad50-4e92912998c4"
-"Raise: System Administration - Data Import and Export Training Manual","ddf88f38-2956-444e-a68b-62f8df0627d9"
-"Raise: System Administration -DocumentsCorePack Installation and Configuration","ef457ac9-3bf7-415f-87cd-edf86adef14d"
-"Raise: System Administration - Duplication Detection and Merging Records Training Manual","f9856c21-0b45-4b4d-b7f5-73b9477394f0"
-"Reach: 2.2 Release Notes - Winter 2021","7010bfb3-121e-4c8a-b988-03f24c684068"
-"Reach: 2.3 Release Notes - Spring 2021","7304dbb8-481b-4c1f-bb0e-779417d4ea23"
-"Reach: 3.0 Release Notes - Summer 2021","bbd5bb1f-b3bf-45a2-a047-c4ee93af18f8"
-"Reach: 3.1 Release Notes - Fall 2021","73a4386a-6783-4425-9d80-f1da41da83fc"
-"Reach: 3.2 Release Notes - Winter 2022","66e4c297-2645-4e2f-94cb-92faaa5e74b4"
-"Reach: 3.3 Ask A Product Manager - Spring 2022","7fdc8e90-7e0c-4f63-afeb-72c26df1d528"
-"Reach: 3.4 Release Notes - Summer 2022","5913d308-8ebc-41ef-aeab-3e0c7e6c07bf"
-"Reach: 3.5 Release Notes - Fall 2022","17be26aa-0c84-4a4e-9fa1-33110843b5d4"
-"Reach: 3.6 Release Notes - Winter 2023","15af1c44-b4b3-49db-af6f-9b5960e4bf9e"
-"Reach: 4.0 Release Notes - Spring 2023","9bedb4d9-f8fd-4617-abbb-8c85db7c070f"
-"Student: Configuring Area of Study","76f4497b-e288-4413-9345-49a6df163363"
-"Student: Configuring Transfer Credit Statuses","aa39386f-140e-4268-951e-716faa1a7ebd"
diff --git a/Scripts/API_Tests/get_analytics_extracts.py b/Scripts/API_Tests/get_analytics_extracts.py
new file mode 100644
index 00000000..1c48e05b
--- /dev/null
+++ b/Scripts/API_Tests/get_analytics_extracts.py
@@ -0,0 +1,30 @@
+import requests
+from urllib.request import urlretrieve
+
+# Test for Chubb
+APIKEY = "RFzu130s451F2eKgm45Ck7gyWZMvGToR6Lmf2k5V"
+EXTRACT = "47156f3d-277a-4c98-b2ba-732ae364270c"
+FILEID = "cpxFPY"
+HEADERS = {
+    "accept": "application/json",
+    "x-api-key": APIKEY
+}
+
+def get_latest_extract():
+    url = f"https://analytics.northpass.io/extracts/{EXTRACT}/files/latest"
+    resp = requests.get(url, headers=HEADERS)
+    print(resp.text)
+    data = resp.json()
+    print(data)
+
+def get_info_and_download():
+    url = f"https://analytics.northpass.io/extracts/{EXTRACT}/files/{FILEID}/download"
+    resp = requests.get(url, headers=HEADERS)
+    data = resp.json()
+    print(data['url'])
+    urlretrieve(data['url'], 'Chubb_MCA.csv.gz')
+
+
+
+if __name__ == "__main__":
+    get_info_and_download()
diff --git a/Scripts/G2_Unenroll/g2mca.csv b/Scripts/G2_Unenroll/g2mca.csv
deleted file mode 100644
index e5d5ce55..00000000
--- a/Scripts/G2_Unenroll/g2mca.csv
+++ /dev/null
@@ -1,1957 +0,0 @@
-Learner Name,Email,SSO UID,Course Name,Course Version,Enrollment Date,Attempt Start,Attempt End,Attempt Number,Course Progress,Last Activity,Last Activity Date,Groups
-Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,G2 Profile Anatomy,,9/29/22 14:49,,,,,,,G2
-Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,Profile Performance & Lead Management,,9/29/22 14:49,,,,,,,G2
-Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,Review Tracking & Brand Building,,9/29/22 14:49,,,,,,,G2
-Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,The Review Rundown,,9/29/22 14:49,,,,,,,G2
-Kamil Rejent,kamil@survicate.com,kamil@survicate.com,Buyer Intent Basics,LIVE,9/29/22 18:25,9/29/22 18:25,9/29/22 18:30,1,100%,Integrations,9/29/22 18:30,G2
-Kamil Rejent,kamil@survicate.com,kamil@survicate.com,G2 Profile Anatomy,,9/29/22 18:25,,,,,,,G2
-Kamil Rejent,kamil@survicate.com,kamil@survicate.com,Profile Performance & Lead Management,,9/29/22 18:25,,,,,,,G2
-Kamil Rejent,kamil@survicate.com,kamil@survicate.com,Review Tracking & Brand Building,,9/29/22 18:25,,,,,,,G2
-Kamil Rejent,kamil@survicate.com,kamil@survicate.com,The Review Rundown,,9/29/22 18:25,,,,,,,G2
-Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,G2 Profile Anatomy,,9/28/22 20:08,,,,,,,G2
-Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,Profile Performance & Lead Management,,9/28/22 20:08,,,,,,,G2
-Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,Review Tracking & Brand Building,,9/28/22 20:08,,,,,,,G2
-Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,The Review Rundown,,9/28/22 20:08,,,,,,,G2
-Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,G2 Profile Anatomy,,9/28/22 14:25,,,,,,,G2
-Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,Profile Performance & Lead Management,,9/28/22 14:25,,,,,,,G2
-Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,Review Tracking & Brand Building,,9/28/22 14:25,,,,,,,G2
-Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,The Review Rundown,,9/28/22 14:25,,,,,,,G2
-Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,G2 Profile Anatomy,,9/28/22 19:26,,,,,,,G2
-Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,Profile Performance & Lead Management,,9/28/22 19:26,,,,,,,G2
-Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,Review Tracking & Brand Building,,9/28/22 19:26,,,,,,,G2
-Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,The Review Rundown,,9/28/22 19:26,,,,,,,G2
-Adam Nelson,anelson@g2.com,anelson@g2.com,G2 Profile Anatomy,,9/19/22 16:24,,,,,,,G2
-Adam Nelson,anelson@g2.com,anelson@g2.com,Profile Performance & Lead Management,,9/19/22 16:24,,,,,,,G2
-Adam Nelson,anelson@g2.com,anelson@g2.com,Review Tracking & Brand Building,,9/19/22 16:24,,,,,,,G2
-Adam Nelson,anelson@g2.com,anelson@g2.com,The Review Rundown,,9/19/22 16:24,,,,,,,G2
-Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,G2 Profile Anatomy,,9/28/22 19:09,,,,,,,G2
-Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,Profile Performance & Lead Management,,9/28/22 19:09,,,,,,,G2
-Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,Review Tracking & Brand Building,,9/28/22 19:09,,,,,,,G2
-Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,The Review Rundown,,9/28/22 19:09,,,,,,,G2
-Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,G2 Profile Anatomy,,9/20/22 17:09,,,,,,,G2
-Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,Profile Performance & Lead Management,,9/20/22 17:09,,,,,,,G2
-Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,Review Tracking & Brand Building,,9/20/22 17:09,,,,,,,G2
-Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,The Review Rundown,,9/20/22 17:09,,,,,,,G2
-Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,G2 Profile Anatomy,,9/29/22 6:24,,,,,,,G2
-Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,Profile Performance & Lead Management,,9/29/22 6:24,,,,,,,G2
-Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,Review Tracking & Brand Building,,9/29/22 6:24,,,,,,,G2
-Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,The Review Rundown,,9/29/22 6:24,,,,,,,G2
-Ahmad Ansari,aansari@g2.com,aansari@g2.com,G2 Profile Anatomy,,9/28/22 14:39,,,,,,,G2
-Ahmad Ansari,aansari@g2.com,aansari@g2.com,Profile Performance & Lead Management,,9/28/22 14:39,,,,,,,G2
-Ahmad Ansari,aansari@g2.com,aansari@g2.com,Review Tracking & Brand Building,,9/28/22 14:39,,,,,,,G2
-Ahmad Ansari,aansari@g2.com,aansari@g2.com,The Review Rundown,,9/28/22 14:39,,,,,,,G2
-Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,G2 Profile Anatomy,LIVE,9/28/22 19:50,9/28/22 19:50,,1,17%,What is the Value of a G2 Profile?,9/29/22 14:54,G2
-Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,Profile Performance & Lead Management,,9/28/22 19:50,,,,,,,G2
-Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,Review Tracking & Brand Building,,9/28/22 19:50,,,,,,,G2
-Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,The Review Rundown,LIVE,9/28/22 19:50,9/28/22 19:51,,1,0%,,,G2
-Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,G2 Profile Anatomy,,9/28/22 17:34,,,,,,,G2
-Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,Profile Performance & Lead Management,,9/28/22 17:34,,,,,,,G2
-Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,Review Tracking & Brand Building,,9/28/22 17:34,,,,,,,G2
-Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,The Review Rundown,,9/28/22 17:34,,,,,,,G2
-Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,G2 Profile Anatomy,,9/28/22 19:42,,,,,,,G2
-Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,Profile Performance & Lead Management,,9/28/22 19:42,,,,,,,G2
-Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,Review Tracking & Brand Building,,9/28/22 19:42,,,,,,,G2
-Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,The Review Rundown,,9/28/22 19:42,,,,,,,G2
-Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,G2 Profile Anatomy,,9/28/22 20:00,,,,,,,G2
-Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,Profile Performance & Lead Management,,9/28/22 20:00,,,,,,,G2
-Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,Review Tracking & Brand Building,,9/28/22 20:00,,,,,,,G2
-Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,The Review Rundown,,9/28/22 20:00,,,,,,,G2
-Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,G2 Profile Anatomy,,9/29/22 13:20,,,,,,,G2
-Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,Profile Performance & Lead Management,,9/29/22 13:20,,,,,,,G2
-Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,Review Tracking & Brand Building,,9/29/22 13:20,,,,,,,G2
-Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,The Review Rundown,,9/29/22 13:20,,,,,,,G2
-Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,Buyer Intent Basics,5,9/28/22 19:58,9/28/22 19:58,,1,0%,,,G2
-Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,G2 Profile Anatomy,,9/28/22 19:58,,,,,,,G2
-Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,Profile Performance & Lead Management,,9/28/22 19:58,,,,,,,G2
-Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,Review Tracking & Brand Building,,9/28/22 19:58,,,,,,,G2
-Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,The Review Rundown,,9/28/22 19:58,,,,,,,G2
-Allison Leach,aleach@g2.com,aleach@g2.com,G2 Profile Anatomy,,9/19/22 14:52,,,,,,,G2
-Allison Leach,aleach@g2.com,aleach@g2.com,Profile Performance & Lead Management,,9/19/22 14:52,,,,,,,G2
-Allison Leach,aleach@g2.com,aleach@g2.com,Review Tracking & Brand Building,,9/19/22 14:52,,,,,,,G2
-Allison Leach,aleach@g2.com,aleach@g2.com,The Review Rundown,,9/19/22 14:52,,,,,,,G2
-Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,G2 Profile Anatomy,,9/30/22 17:10,,,,,,,G2
-Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,How to Respond to Reviews,LIVE,9/30/22 17:10,9/30/22 17:10,,1,0%,,,G2
-Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,Profile Performance & Lead Management,,9/30/22 17:10,,,,,,,G2
-Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,Review Tracking & Brand Building,,9/30/22 17:10,,,,,,,G2
-Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,The Review Rundown,,9/30/22 17:10,,,,,,,G2
-Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,G2 Profile Anatomy,,9/29/22 13:44,,,,,,,G2
-Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,Profile Performance & Lead Management,,9/29/22 13:44,,,,,,,G2
-Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,Review Tracking & Brand Building,,9/29/22 13:44,,,,,,,G2
-Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,The Review Rundown,,9/29/22 13:44,,,,,,,G2
-Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,G2 Profile Anatomy,,9/28/22 19:57,,,,,,,G2
-Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,Profile Performance & Lead Management,,9/28/22 19:57,,,,,,,G2
-Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,Review Tracking & Brand Building,,9/28/22 19:57,,,,,,,G2
-Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,The Review Rundown,,9/28/22 19:57,,,,,,,G2
-Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,G2 Profile Anatomy,,9/29/22 15:48,,,,,,,G2
-Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,Profile Performance & Lead Management,,9/29/22 15:48,,,,,,,G2
-Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,Review Tracking & Brand Building,,9/29/22 15:48,,,,,,,G2
-Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,The Review Rundown,,9/29/22 15:48,,,,,,,G2
-Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,G2 Profile Anatomy,,10/3/22 13:33,,,,,,,G2
-Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,Profile Performance & Lead Management,,10/3/22 13:33,,,,,,,G2
-Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,Review Tracking & Brand Building,,10/3/22 13:33,,,,,,,G2
-Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,The Review Rundown,,10/3/22 13:33,,,,,,,G2
-Amanda Foster,amanda@spotio.com,amanda@spotio.com,G2 Profile Anatomy,,9/28/22 19:17,,,,,,,G2
-Amanda Foster,amanda@spotio.com,amanda@spotio.com,Profile Performance & Lead Management,,9/28/22 19:17,,,,,,,G2
-Amanda Foster,amanda@spotio.com,amanda@spotio.com,Review Tracking & Brand Building,,9/28/22 19:17,,,,,,,G2
-Amanda Foster,amanda@spotio.com,amanda@spotio.com,The Review Rundown,,9/28/22 19:17,,,,,,,G2
-Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,G2 Profile Anatomy,,9/27/22 20:10,,,,,,,G2
-Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,Profile Performance & Lead Management,,9/27/22 20:10,,,,,,,G2
-Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,Review Tracking & Brand Building,,9/27/22 20:10,,,,,,,G2
-Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,The Review Rundown,,9/27/22 20:10,,,,,,,G2
-Amanda Malko,amanda@g2.com,amanda@g2.com,Buyer Intent Basics,5,9/28/22 13:20,9/28/22 13:20,,1,0%,,,G2
-Amanda Malko,amanda@g2.com,amanda@g2.com,G2 Profile Anatomy,,9/28/22 13:06,,,,,,,G2
-Amanda Malko,amanda@g2.com,amanda@g2.com,Preparing for G2 Reports,LIVE,10/6/22 13:56,10/6/22 13:56,,1,0%,,,G2
-Amanda Malko,amanda@g2.com,amanda@g2.com,Profile Performance & Lead Management,,9/28/22 13:06,,,,,,,G2
-Amanda Malko,amanda@g2.com,amanda@g2.com,Review Tracking & Brand Building,,9/28/22 13:06,,,,,,,G2
-Amanda Malko,amanda@g2.com,amanda@g2.com,The Review Rundown,,9/28/22 13:06,,,,,,,G2
-Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,G2 Profile Anatomy,,9/29/22 19:19,,,,,,,G2
-Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,Profile Performance & Lead Management,,9/29/22 19:19,,,,,,,G2
-Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,Review Tracking & Brand Building,,9/29/22 19:19,,,,,,,G2
-Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,The Review Rundown,,9/29/22 19:19,,,,,,,G2
-Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,G2 Profile Anatomy,,9/29/22 15:00,,,,,,,G2
-Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,Profile Performance & Lead Management,,9/29/22 15:00,,,,,,,G2
-Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,Review Tracking & Brand Building,,9/29/22 15:00,,,,,,,G2
-Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,The Review Rundown,,9/29/22 15:00,,,,,,,G2
-Andi Platt,aplatt@g2.com,aplatt@g2.com,G2 Profile Anatomy,,9/28/22 21:37,,,,,,,G2
-Andi Platt,aplatt@g2.com,aplatt@g2.com,Profile Performance & Lead Management,,9/28/22 21:37,,,,,,,G2
-Andi Platt,aplatt@g2.com,aplatt@g2.com,Review Tracking & Brand Building,,9/28/22 21:37,,,,,,,G2
-Andi Platt,aplatt@g2.com,aplatt@g2.com,The Review Rundown,,9/28/22 21:37,,,,,,,G2
-Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,G2 Profile Anatomy,,9/28/22 19:13,,,,,,,G2
-Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,Profile Performance & Lead Management,,9/28/22 19:13,,,,,,,G2
-Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,Review Tracking & Brand Building,,9/28/22 19:13,,,,,,,G2
-Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,The Review Rundown,,9/28/22 19:13,,,,,,,G2
-Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,G2 Profile Anatomy,,9/29/22 6:06,,,,,,,G2
-Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,Profile Performance & Lead Management,,9/29/22 6:06,,,,,,,G2
-Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,Review Tracking & Brand Building,,9/29/22 6:06,,,,,,,G2
-Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,The Review Rundown,,9/29/22 6:06,,,,,,,G2
-Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,G2 Profile Anatomy,,9/30/22 9:17,,,,,,,G2
-Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,Profile Performance & Lead Management,,9/30/22 9:17,,,,,,,G2
-Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,Review Tracking & Brand Building,,9/30/22 9:17,,,,,,,G2
-Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,The Review Rundown,LIVE,9/30/22 9:17,9/30/22 9:18,,1,0%,,,G2
-Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,Buyer Intent Basics,LIVE,11/1/22 20:20,11/1/22 20:20,,1,67%,Detailed Timeline view,11/1/22 20:22,G2
-Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,G2 Profile Anatomy,,9/29/22 14:14,,,,,,,G2
-Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,Profile Performance & Lead Management,,9/29/22 14:14,,,,,,,G2
-Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,Review Tracking & Brand Building,,9/29/22 14:14,,,,,,,G2
-Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,The Review Rundown,,9/29/22 14:14,,,,,,,G2
-Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,G2 Profile Anatomy,,9/28/22 20:11,,,,,,,G2
-Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,Profile Performance & Lead Management,,9/28/22 20:11,,,,,,,G2
-Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,Review Tracking & Brand Building,,9/28/22 20:11,,,,,,,G2
-Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,The Review Rundown,,9/28/22 20:11,,,,,,,G2
-Angela Meier,ameier@complianceline.com,ameier@complianceline.com,G2 Profile Anatomy,,10/3/22 17:37,,,,,,,G2
-Angela Meier,ameier@complianceline.com,ameier@complianceline.com,Profile Performance & Lead Management,,10/3/22 17:37,,,,,,,G2
-Angela Meier,ameier@complianceline.com,ameier@complianceline.com,Review Tracking & Brand Building,,10/3/22 17:37,,,,,,,G2
-Angela Meier,ameier@complianceline.com,ameier@complianceline.com,The Review Rundown,,10/3/22 17:37,,,,,,,G2
-Anna Charity,acharity@g2.com,acharity@g2.com,G2 Profile Anatomy,,9/13/22 16:16,,,,,,,G2
-Anna Charity,acharity@g2.com,acharity@g2.com,Profile Performance & Lead Management,,9/13/22 16:16,,,,,,,G2
-Anna Charity,acharity@g2.com,acharity@g2.com,Review Tracking & Brand Building,,9/13/22 16:16,,,,,,,G2
-Anna Charity,acharity@g2.com,acharity@g2.com,The Review Rundown,,9/13/22 16:16,,,,,,,G2
-Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,G2 Profile Anatomy,,9/29/22 6:27,,,,,,,G2
-Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,Profile Performance & Lead Management,,9/29/22 6:27,,,,,,,G2
-Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,Review Tracking & Brand Building,,9/29/22 6:27,,,,,,,G2
-Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,The Review Rundown,,9/29/22 6:27,,,,,,,G2
-Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,G2 Profile Anatomy,,9/30/22 17:57,,,,,,,G2
-Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,Profile Performance & Lead Management,,9/30/22 17:57,,,,,,,G2
-Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,Review Tracking & Brand Building,,9/30/22 17:57,,,,,,,G2
-Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,The Review Rundown,,9/30/22 17:57,,,,,,,G2
-Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,G2 Profile Anatomy,,9/28/22 19:28,,,,,,,G2
-Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,Profile Performance & Lead Management,LIVE,9/28/22 19:28,9/28/22 19:29,,1,0%,,,G2
-Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,Review Tracking & Brand Building,,9/28/22 19:28,,,,,,,G2
-Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,The Review Rundown,,9/28/22 19:28,,,,,,,G2
-Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,G2 Profile Anatomy,LIVE,9/29/22 8:54,9/29/22 8:55,,1,0%,,,G2
-Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,Profile Performance & Lead Management,LIVE,9/29/22 8:54,9/29/22 8:55,,1,0%,,,G2
-Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,Review Tracking & Brand Building,,9/29/22 8:54,,,,,,,G2
-Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,The Review Rundown,,9/29/22 8:54,,,,,,,G2
-Anna Zhuk,azhuk@g2.com,azhuk@g2.com,G2 Profile Anatomy,,9/20/22 21:21,,,,,,,G2
-Anna Zhuk,azhuk@g2.com,azhuk@g2.com,Profile Performance & Lead Management,,9/20/22 21:21,,,,,,,G2
-Anna Zhuk,azhuk@g2.com,azhuk@g2.com,Review Tracking & Brand Building,,9/20/22 21:21,,,,,,,G2
-Anna Zhuk,azhuk@g2.com,azhuk@g2.com,The Review Rundown,,9/20/22 21:21,,,,,,,G2
-Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,G2 Profile Anatomy,,9/28/22 19:13,,,,,,,G2
-Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,Profile Performance & Lead Management,,9/28/22 19:13,,,,,,,G2
-Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,Review Tracking & Brand Building,,9/28/22 19:13,,,,,,,G2
-Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,The Review Rundown,,9/28/22 19:13,,,,,,,G2
-Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,G2 Profile Anatomy,,9/30/22 19:00,,,,,,,G2
-Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,Profile Performance & Lead Management,,9/30/22 19:00,,,,,,,G2
-Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,Review Tracking & Brand Building,,9/30/22 19:00,,,,,,,G2
-Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,The Review Rundown,,9/30/22 19:00,,,,,,,G2
-Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,G2 Profile Anatomy,LIVE,9/28/22 19:52,9/28/22 19:52,,1,0%,,,G2
-Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,Profile Performance & Lead Management,,9/28/22 19:52,,,,,,,G2
-Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,Review Tracking & Brand Building,,9/28/22 19:52,,,,,,,G2
-Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,The Review Rundown,,9/28/22 19:52,,,,,,,G2
-Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,G2 Profile Anatomy,,9/22/22 20:52,,,,,,,G2
-Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,Profile Performance & Lead Management,,9/22/22 20:52,,,,,,,G2
-Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,Review Tracking & Brand Building,,9/22/22 20:52,,,,,,,G2
-Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,The Review Rundown,,9/22/22 20:52,,,,,,,G2
-Anoop Nair,anair@g2.com,anair@g2.com,G2 Profile Anatomy,,10/3/22 12:07,,,,,,,G2
-Anoop Nair,anair@g2.com,anair@g2.com,Profile Performance & Lead Management,,10/3/22 12:07,,,,,,,G2
-Anoop Nair,anair@g2.com,anair@g2.com,Review Tracking & Brand Building,,10/3/22 12:07,,,,,,,G2
-Anoop Nair,anair@g2.com,anair@g2.com,The Review Rundown,,10/3/22 12:07,,,,,,,G2
-Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,Buyer Intent Basics,LIVE,10/17/22 17:59,10/17/22 17:59,10/17/22 18:04,1,100%,Integrations,10/17/22 18:04,G2
-Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,G2 Profile Anatomy,,9/29/22 0:54,,,,,,,G2
-Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,Profile Performance & Lead Management,,9/29/22 0:54,,,,,,,G2
-Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,Review Tracking & Brand Building,,9/29/22 0:54,,,,,,,G2
-Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,The Review Rundown,,9/29/22 0:54,,,,,,,G2
-Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,G2 Profile Anatomy,,9/29/22 14:36,,,,,,,G2
-Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,Profile Performance & Lead Management,,9/29/22 14:36,,,,,,,G2
-Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,Review Tracking & Brand Building,,9/29/22 14:36,,,,,,,G2
-Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,The Review Rundown,,9/29/22 14:36,,,,,,,G2
-Anu Chadha,achadha@g2.com,achadha@g2.com,G2 Profile Anatomy,,9/29/22 5:40,,,,,,,G2
-Anu Chadha,achadha@g2.com,achadha@g2.com,Profile Performance & Lead Management,,9/29/22 5:40,,,,,,,G2
-Anu Chadha,achadha@g2.com,achadha@g2.com,Review Tracking & Brand Building,,9/29/22 5:40,,,,,,,G2
-Anu Chadha,achadha@g2.com,achadha@g2.com,The Review Rundown,,9/29/22 5:40,,,,,,,G2
-Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,G2 Profile Anatomy,,9/26/22 7:15,,,,,,,G2
-Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,Profile Performance & Lead Management,,9/26/22 7:15,,,,,,,G2
-Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,Review Tracking & Brand Building,,9/26/22 7:15,,,,,,,G2
-Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,The Review Rundown,,9/26/22 7:15,,,,,,,G2
-Anya Gonzales,anya.g@miro.com,anya.g@miro.com,G2 Profile Anatomy,,9/29/22 10:52,,,,,,,G2
-Anya Gonzales,anya.g@miro.com,anya.g@miro.com,Profile Performance & Lead Management,,9/29/22 10:52,,,,,,,G2
-Anya Gonzales,anya.g@miro.com,anya.g@miro.com,Review Tracking & Brand Building,,9/29/22 10:52,,,,,,,G2
-Anya Gonzales,anya.g@miro.com,anya.g@miro.com,The Review Rundown,,9/29/22 10:52,,,,,,,G2
-Aravind Raj T,araj@g2.com,araj@g2.com,Buyer Intent Basics,LIVE,10/18/22 7:25,10/18/22 7:25,,1,0%,,,G2
-Aravind Raj T,araj@g2.com,araj@g2.com,G2 Profile Anatomy,,9/29/22 5:34,,,,,,,G2
-Aravind Raj T,araj@g2.com,araj@g2.com,Profile Performance & Lead Management,,9/29/22 5:34,,,,,,,G2
-Aravind Raj T,araj@g2.com,araj@g2.com,Review Tracking & Brand Building,,9/29/22 5:34,,,,,,,G2
-Aravind Raj T,araj@g2.com,araj@g2.com,The Review Rundown,,9/29/22 5:34,,,,,,,G2
-Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,G2 Profile Anatomy,,9/29/22 5:21,,,,,,,G2
-Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,Profile Performance & Lead Management,,9/29/22 5:21,,,,,,,G2
-Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,Review Tracking & Brand Building,,9/29/22 5:21,,,,,,,G2
-Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,The Review Rundown,,9/29/22 5:21,,,,,,,G2
-Ashley Duncan,ashley@plytix.com,ashley@plytix.com,G2 Profile Anatomy,,9/29/22 7:17,,,,,,,G2
-Ashley Duncan,ashley@plytix.com,ashley@plytix.com,Profile Performance & Lead Management,,9/29/22 7:17,,,,,,,G2
-Ashley Duncan,ashley@plytix.com,ashley@plytix.com,Review Tracking & Brand Building,,9/29/22 7:17,,,,,,,G2
-Ashley Duncan,ashley@plytix.com,ashley@plytix.com,The Review Rundown,,9/29/22 7:17,,,,,,,G2
-Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,G2 Profile Anatomy,,9/28/22 23:56,,,,,,,G2
-Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,Profile Performance & Lead Management,,9/28/22 23:56,,,,,,,G2
-Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,Review Tracking & Brand Building,,9/28/22 23:56,,,,,,,G2
-Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,The Review Rundown,,9/28/22 23:56,,,,,,,G2
-Austin Holgate,aholgate@g2.com,aholgate@g2.com,G2 Profile Anatomy,,9/23/22 13:19,,,,,,,G2
-Austin Holgate,aholgate@g2.com,aholgate@g2.com,Profile Performance & Lead Management,,9/23/22 13:19,,,,,,,G2
-Austin Holgate,aholgate@g2.com,aholgate@g2.com,Review Tracking & Brand Building,,9/23/22 13:19,,,,,,,G2
-Austin Holgate,aholgate@g2.com,aholgate@g2.com,The Review Rundown,,9/23/22 13:19,,,,,,,G2
-Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,G2 Profile Anatomy,,9/29/22 3:56,,,,,,,G2
-Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,Profile Performance & Lead Management,,9/29/22 3:56,,,,,,,G2
-Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,Review Tracking & Brand Building,LIVE,9/29/22 3:56,9/29/22 4:30,,1,0%,,,G2
-Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,The Review Rundown,,9/29/22 3:56,,,,,,,G2
-Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,G2 Profile Anatomy,,9/29/22 7:48,,,,,,,G2
-Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,Profile Performance & Lead Management,,9/29/22 7:48,,,,,,,G2
-Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,Review Tracking & Brand Building,,9/29/22 7:48,,,,,,,G2
-Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,The Review Rundown,,9/29/22 7:48,,,,,,,G2
-Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,Buyer Intent Basics,LIVE,9/30/22 19:26,9/30/22 19:26,9/30/22 19:33,1,100%,Integrations,9/30/22 19:33,G2
-Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,G2 Profile Anatomy,,9/30/22 19:24,,,,,,,G2
-Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,How to Use Buyer Intent,LIVE,9/30/22 19:33,9/30/22 19:33,9/30/22 19:39,1,100%,Buyer Intent Score Filter Recommendations,9/30/22 19:39,G2
-Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,Profile Performance & Lead Management,,9/30/22 19:24,,,,,,,G2
-Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,Review Tracking & Brand Building,,9/30/22 19:24,,,,,,,G2
-Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,The Review Rundown,,9/30/22 19:24,,,,,,,G2
-Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,G2 Profile Anatomy,,9/29/22 14:29,,,,,,,G2
-Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,How to Respond to Reviews,LIVE,9/29/22 15:25,9/29/22 15:25,,1,17%,Respond to Reviews: Who ,9/29/22 15:52,G2
-Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,Preparing for G2 Reports,LIVE,9/30/22 17:35,9/30/22 17:35,,1,0%,,,G2
-Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,Profile Performance & Lead Management,LIVE,9/29/22 14:29,9/29/22 14:32,,1,0%,,,G2
-Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,Review Tracking & Brand Building,,9/29/22 14:29,,,,,,,G2
-Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,The Review Rundown,LIVE,9/29/22 14:29,9/29/22 14:32,,1,0%,,,G2
-Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,G2 Profile Anatomy,LIVE,9/30/22 14:24,9/30/22 14:25,,1,0%,,,G2
-Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,Profile Performance & Lead Management,LIVE,9/30/22 14:24,9/30/22 14:25,,1,0%,,,G2
-Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,Review Tracking & Brand Building,,9/30/22 14:24,,,,,,,G2
-Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,The Review Rundown,,9/30/22 14:24,,,,,,,G2
-Ben Savage,bsavage@g2.com,bsavage@g2.com,G2 Profile Anatomy,,9/29/22 8:18,,,,,,,G2
-Ben Savage,bsavage@g2.com,bsavage@g2.com,Profile Performance & Lead Management,,9/29/22 8:18,,,,,,,G2
-Ben Savage,bsavage@g2.com,bsavage@g2.com,Review Tracking & Brand Building,,9/29/22 8:18,,,,,,,G2
-Ben Savage,bsavage@g2.com,bsavage@g2.com,The Review Rundown,,9/29/22 8:18,,,,,,,G2
-Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,G2 Profile Anatomy,,9/28/22 19:22,,,,,,,G2
-Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,Profile Performance & Lead Management,,9/28/22 19:22,,,,,,,G2
-Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,Review Tracking & Brand Building,,9/28/22 19:22,,,,,,,G2
-Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,The Review Rundown,,9/28/22 19:22,,,,,,,G2
-Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,G2 Profile Anatomy,LIVE,9/28/22 13:40,9/28/22 13:40,,1,0%,,,G2
-Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,Profile Performance & Lead Management,,9/28/22 13:40,,,,,,,G2
-Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,Review Tracking & Brand Building,,9/28/22 13:40,,,,,,,G2
-Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,The Review Rundown,,9/28/22 13:40,,,,,,,G2
-Branca Ballot,branca@glideapps.com,branca@glideapps.com,G2 Profile Anatomy,LIVE,9/28/22 19:57,9/28/22 19:58,,1,0%,,,G2
-Branca Ballot,branca@glideapps.com,branca@glideapps.com,Profile Performance & Lead Management,,9/28/22 19:57,,,,,,,G2
-Branca Ballot,branca@glideapps.com,branca@glideapps.com,Review Tracking & Brand Building,,9/28/22 19:57,,,,,,,G2
-Branca Ballot,branca@glideapps.com,branca@glideapps.com,The Review Rundown,,9/28/22 19:57,,,,,,,G2
-Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,G2 Profile Anatomy,LIVE,9/30/22 10:57,9/30/22 10:58,,1,0%,,,G2
-Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,Profile Performance & Lead Management,,9/30/22 10:57,,,,,,,G2
-Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,Review Tracking & Brand Building,,9/30/22 10:57,,,,,,,G2
-Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,The Review Rundown,,9/30/22 10:57,,,,,,,G2
-Brenden Oslund,boslund@g2.com,boslund@g2.com,G2 Profile Anatomy,,9/28/22 14:29,,,,,,,G2
-Brenden Oslund,boslund@g2.com,boslund@g2.com,Profile Performance & Lead Management,,9/28/22 14:29,,,,,,,G2
-Brenden Oslund,boslund@g2.com,boslund@g2.com,Review Tracking & Brand Building,,9/28/22 14:29,,,,,,,G2
-Brenden Oslund,boslund@g2.com,boslund@g2.com,The Review Rundown,,9/28/22 14:29,,,,,,,G2
-Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,G2 Profile Anatomy,,9/29/22 14:57,,,,,,,G2
-Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,Profile Performance & Lead Management,,9/29/22 14:57,,,,,,,G2
-Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,Review Tracking & Brand Building,,9/29/22 14:57,,,,,,,G2
-Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,The Review Rundown,,9/29/22 14:57,,,,,,,G2
-Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,G2 Profile Anatomy,LIVE,9/28/22 19:47,9/28/22 19:48,9/28/22 19:59,1,100%,Top Tips Recap,9/28/22 19:59,G2
-Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,How to Use Buyer Intent,LIVE,9/28/22 21:04,9/28/22 21:04,9/28/22 21:10,1,100%,Buyer Intent Score Filter Recommendations,9/28/22 21:10,G2
-Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,Preparing for G2 Reports,LIVE,9/28/22 20:57,9/28/22 20:57,9/28/22 21:03,1,100%,Results Index Criteria,9/28/22 21:03,G2
-Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,Profile Performance & Lead Management,LIVE,9/28/22 19:47,9/28/22 20:00,9/28/22 20:19,1,100%,Lead Webhooks,9/28/22 20:19,G2
-Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,Review Tracking & Brand Building,LIVE,9/28/22 19:47,9/28/22 20:48,9/28/22 20:57,1,100%,Review Integrations,9/28/22 20:57,G2
-Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,The Review Rundown,LIVE,9/28/22 19:47,9/28/22 20:27,9/28/22 20:48,1,100%,Review Moderation,9/28/22 20:48,G2
-Brooke Morse,bmorse@g2.com,bmorse@g2.com,G2 Profile Anatomy,,9/28/22 19:46,,,,,,,G2
-Brooke Morse,bmorse@g2.com,bmorse@g2.com,Profile Performance & Lead Management,,9/28/22 19:46,,,,,,,G2
-Brooke Morse,bmorse@g2.com,bmorse@g2.com,Review Tracking & Brand Building,,9/28/22 19:46,,,,,,,G2
-Brooke Morse,bmorse@g2.com,bmorse@g2.com,The Review Rundown,,9/28/22 19:46,,,,,,,G2
-Bruno Campos,bcampos@canto.com,bcampos@canto.com,G2 Profile Anatomy,,9/30/22 11:20,,,,,,,G2
-Bruno Campos,bcampos@canto.com,bcampos@canto.com,Profile Performance & Lead Management,,9/30/22 11:20,,,,,,,G2
-Bruno Campos,bcampos@canto.com,bcampos@canto.com,Review Tracking & Brand Building,,9/30/22 11:20,,,,,,,G2
-Bruno Campos,bcampos@canto.com,bcampos@canto.com,The Review Rundown,,9/30/22 11:20,,,,,,,G2
-Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,G2 Profile Anatomy,,9/29/22 7:01,,,,,,,G2
-Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,Profile Performance & Lead Management,,9/29/22 7:01,,,,,,,G2
-Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,Review Tracking & Brand Building,,9/29/22 7:01,,,,,,,G2
-Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,The Review Rundown,,9/29/22 7:01,,,,,,,G2
-Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,G2 Profile Anatomy,,9/28/22 18:23,,,,,,,G2
-Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,Profile Performance & Lead Management,,9/28/22 18:23,,,,,,,G2
-Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,Review Tracking & Brand Building,,9/28/22 18:23,,,,,,,G2
-Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,The Review Rundown,,9/28/22 18:23,,,,,,,G2
-Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,G2 Profile Anatomy,,9/28/22 19:36,,,,,,,G2
-Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,Profile Performance & Lead Management,,9/28/22 19:36,,,,,,,G2
-Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,Review Tracking & Brand Building,,9/28/22 19:36,,,,,,,G2
-Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,The Review Rundown,,9/28/22 19:36,,,,,,,G2
-Cameron Hail,chail@g2.com,chail@g2.com,G2 Profile Anatomy,,9/30/22 14:07,,,,,,,G2
-Cameron Hail,chail@g2.com,chail@g2.com,Profile Performance & Lead Management,,9/30/22 14:07,,,,,,,G2
-Cameron Hail,chail@g2.com,chail@g2.com,Review Tracking & Brand Building,,9/30/22 14:07,,,,,,,G2
-Cameron Hail,chail@g2.com,chail@g2.com,The Review Rundown,,9/30/22 14:07,,,,,,,G2
-Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,G2 Profile Anatomy,LIVE,9/28/22 18:49,9/28/22 18:49,,1,17%,What is the Value of a G2 Profile?,9/29/22 14:32,G2
-Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,Profile Performance & Lead Management,,9/28/22 18:49,,,,,,,G2
-Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,Review Tracking & Brand Building,,9/28/22 18:49,,,,,,,G2
-Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,The Review Rundown,,9/28/22 18:49,,,,,,,G2
-Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,G2 Profile Anatomy,,9/29/22 5:58,,,,,,,G2
-Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,Profile Performance & Lead Management,,9/29/22 5:58,,,,,,,G2
-Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,Review Tracking & Brand Building,,9/29/22 5:58,,,,,,,G2
-Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,The Review Rundown,,9/29/22 5:58,,,,,,,G2
-Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,G2 Profile Anatomy,,9/28/22 19:24,,,,,,,G2
-Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,Profile Performance & Lead Management,,9/28/22 19:24,,,,,,,G2
-Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,Review Tracking & Brand Building,,9/28/22 19:24,,,,,,,G2
-Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,The Review Rundown,,9/28/22 19:24,,,,,,,G2
-Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,G2 Profile Anatomy,,9/29/22 15:34,,,,,,,G2
-Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,Profile Performance & Lead Management,,9/29/22 15:34,,,,,,,G2
-Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,Review Tracking & Brand Building,,9/29/22 15:34,,,,,,,G2
-Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,The Review Rundown,,9/29/22 15:34,,,,,,,G2
-Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,G2 Profile Anatomy,,9/28/22 19:10,,,,,,,G2
-Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,Profile Performance & Lead Management,,9/28/22 19:10,,,,,,,G2
-Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,Review Tracking & Brand Building,LIVE,9/28/22 19:10,9/28/22 19:30,,1,0%,,,G2
-Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,The Review Rundown,,9/28/22 19:10,,,,,,,G2
-Casey Krebs,casey@apollo.io,casey@apollo.io,G2 Profile Anatomy,,9/29/22 5:14,,,,,,,G2
-Casey Krebs,casey@apollo.io,casey@apollo.io,Profile Performance & Lead Management,,9/29/22 5:14,,,,,,,G2
-Casey Krebs,casey@apollo.io,casey@apollo.io,Review Tracking & Brand Building,,9/29/22 5:14,,,,,,,G2
-Casey Krebs,casey@apollo.io,casey@apollo.io,The Review Rundown,,9/29/22 5:14,,,,,,,G2
-Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,G2 Profile Anatomy,,9/28/22 20:05,,,,,,,G2
-Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,Profile Performance & Lead Management,,9/28/22 20:05,,,,,,,G2
-Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,Review Tracking & Brand Building,,9/28/22 20:05,,,,,,,G2
-Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,The Review Rundown,,9/28/22 20:05,,,,,,,G2
-Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,G2 Profile Anatomy,LIVE,9/29/22 6:30,10/12/22 11:05,10/19/22 11:31,1,100%,Top Tips Recap,10/19/22 11:31,G2
-Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,How to Respond to Reviews,LIVE,10/28/22 9:17,10/28/22 9:17,10/28/22 9:18,1,100%,Unactionable Negative Reviews,10/28/22 9:18,G2
-Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,Profile Performance & Lead Management,LIVE,9/29/22 6:30,10/13/22 14:01,10/28/22 9:21,1,100%,Measuring Profile Performance,10/28/22 9:21,G2
-Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,Review Tracking & Brand Building,LIVE,9/29/22 6:30,10/28/22 9:13,10/28/22 9:14,1,100%,Review Integrations,10/28/22 9:14,G2
-Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,The Review Rundown,LIVE,9/29/22 6:30,10/28/22 9:07,10/28/22 9:12,1,100%,Review Moderation,10/28/22 9:12,G2
-Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,G2 Profile Anatomy,4,3/4/22 15:16,6/15/22 0:24,,1,0%,,,G2
-Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,Profile Performance & Lead Management,,3/4/22 15:16,,,,,,,G2
-Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,Review Tracking & Brand Building,,3/4/22 15:16,,,,,,,G2
-Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,The Review Rundown,,3/4/22 15:16,,,,,,,G2
-Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,G2 Profile Anatomy,,9/30/22 1:43,,,,,,,G2
-Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,Profile Performance & Lead Management,,9/30/22 1:43,,,,,,,G2
-Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,Review Tracking & Brand Building,,9/30/22 1:43,,,,,,,G2
-Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,The Review Rundown,,9/30/22 1:43,,,,,,,G2
-Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,Buyer Intent Basics,LIVE,9/28/22 22:30,9/28/22 22:30,9/28/22 22:50,1,100%,Integrations,9/28/22 22:50,G2
-Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,G2 Profile Anatomy,,9/28/22 22:28,,,,,,,G2
-Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,How to Use Buyer Intent,LIVE,9/28/22 22:51,9/28/22 22:51,9/28/22 23:29,1,100%,Buyer Intent Score Filter Recommendations,9/28/22 23:29,G2
-Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,Profile Performance & Lead Management,,9/28/22 22:28,,,,,,,G2
-Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,Review Tracking & Brand Building,,9/28/22 22:28,,,,,,,G2
-Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,The Review Rundown,,9/28/22 22:28,,,,,,,G2
-Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,G2 Profile Anatomy,,9/29/22 5:26,,,,,,,G2
-Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,Profile Performance & Lead Management,,9/29/22 5:26,,,,,,,G2
-Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,Review Tracking & Brand Building,,9/29/22 5:26,,,,,,,G2
-Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,The Review Rundown,,9/29/22 5:26,,,,,,,G2
-Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,G2 Profile Anatomy,,9/28/22 22:42,,,,,,,G2
-Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,Profile Performance & Lead Management,,9/28/22 22:42,,,,,,,G2
-Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,Review Tracking & Brand Building,,9/28/22 22:42,,,,,,,G2
-Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,The Review Rundown,,9/28/22 22:42,,,,,,,G2
-Chris Marley,chris.marley@visier.com,chris.marley@visier.com,G2 Profile Anatomy,,9/28/22 19:51,,,,,,,G2
-Chris Marley,chris.marley@visier.com,chris.marley@visier.com,Profile Performance & Lead Management,,9/28/22 19:51,,,,,,,G2
-Chris Marley,chris.marley@visier.com,chris.marley@visier.com,Review Tracking & Brand Building,,9/28/22 19:51,,,,,,,G2
-Chris Marley,chris.marley@visier.com,chris.marley@visier.com,The Review Rundown,,9/28/22 19:51,,,,,,,G2
-Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,G2 Profile Anatomy,,9/28/22 19:36,,,,,,,G2
-Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,Profile Performance & Lead Management,,9/28/22 19:36,,,,,,,G2
-Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,Review Tracking & Brand Building,,9/28/22 19:36,,,,,,,G2
-Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,The Review Rundown,,9/28/22 19:36,,,,,,,G2
-Christian Beatty,christian@spotio.com,christian@spotio.com,G2 Profile Anatomy,LIVE,9/28/22 19:17,9/28/22 19:17,,1,0%,,,G2
-Christian Beatty,christian@spotio.com,christian@spotio.com,Profile Performance & Lead Management,,9/28/22 19:17,,,,,,,G2
-Christian Beatty,christian@spotio.com,christian@spotio.com,Review Tracking & Brand Building,,9/28/22 19:17,,,,,,,G2
-Christian Beatty,christian@spotio.com,christian@spotio.com,The Review Rundown,,9/28/22 19:17,,,,,,,G2
-Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,G2 Profile Anatomy,,9/28/22 19:04,,,,,,,G2
-Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,Profile Performance & Lead Management,,9/28/22 19:04,,,,,,,G2
-Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,Review Tracking & Brand Building,,9/28/22 19:04,,,,,,,G2
-Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,The Review Rundown,,9/28/22 19:04,,,,,,,G2
-Christian Terry,christian@olive.app,christian@olive.app,G2 Profile Anatomy,,9/28/22 18:22,,,,,,,G2
-Christian Terry,christian@olive.app,christian@olive.app,How to Use Buyer Intent,LIVE,9/28/22 18:22,9/28/22 18:22,,1,0%,,,G2
-Christian Terry,christian@olive.app,christian@olive.app,Profile Performance & Lead Management,LIVE,9/28/22 18:22,9/28/22 18:23,,1,0%,,,G2
-Christian Terry,christian@olive.app,christian@olive.app,Review Tracking & Brand Building,,9/28/22 18:22,,,,,,,G2
-Christian Terry,christian@olive.app,christian@olive.app,The Review Rundown,,9/28/22 18:22,,,,,,,G2
-Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,G2 Profile Anatomy,,9/28/22 19:39,,,,,,,G2
-Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,Preparing for G2 Reports,LIVE,9/28/22 19:43,9/28/22 19:43,,1,7%,Report Calendar + Actions Required,9/28/22 19:43,G2
-Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,Profile Performance & Lead Management,,9/28/22 19:39,,,,,,,G2
-Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,Review Tracking & Brand Building,,9/28/22 19:39,,,,,,,G2
-Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,The Review Rundown,,9/28/22 19:39,,,,,,,G2
-Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,G2 Profile Anatomy,,9/28/22 20:04,,,,,,,G2
-Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,Profile Performance & Lead Management,,9/28/22 20:04,,,,,,,G2
-Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,Review Tracking & Brand Building,,9/28/22 20:04,,,,,,,G2
-Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,The Review Rundown,,9/28/22 20:04,,,,,,,G2
-Clare Kennison,ckennison@g2.com,ckennison@g2.com,G2 Profile Anatomy,,9/20/22 15:11,,,,,,,G2
-Clare Kennison,ckennison@g2.com,ckennison@g2.com,Profile Performance & Lead Management,,9/20/22 15:11,,,,,,,G2
-Clare Kennison,ckennison@g2.com,ckennison@g2.com,Review Tracking & Brand Building,,9/20/22 15:11,,,,,,,G2
-Clare Kennison,ckennison@g2.com,ckennison@g2.com,The Review Rundown,,9/20/22 15:11,,,,,,,G2
-Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,G2 Profile Anatomy,,9/28/22 14:35,,,,,,,G2
-Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,Profile Performance & Lead Management,,9/28/22 14:35,,,,,,,G2
-Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,Review Tracking & Brand Building,LIVE,9/28/22 14:35,9/28/22 14:35,,1,0%,,,G2
-Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,The Review Rundown,,9/28/22 14:35,,,,,,,G2
-Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,G2 Profile Anatomy,,9/28/22 19:17,,,,,,,G2
-Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,Preparing for G2 Reports,LIVE,11/1/22 18:44,11/1/22 18:44,,1,64%,Segmented Grid Report Criteria,11/1/22 18:45,G2
-Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,Profile Performance & Lead Management,,9/28/22 19:17,,,,,,,G2
-Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,Review Tracking & Brand Building,,9/28/22 19:17,,,,,,,G2
-Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,The Review Rundown,LIVE,9/28/22 19:17,9/28/22 20:45,,1,0%,,,G2
-Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,G2 Profile Anatomy,LIVE,9/28/22 20:47,9/28/22 20:55,9/28/22 21:30,1,100%,Top Tips Recap,9/28/22 21:30,G2
-Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,Profile Performance & Lead Management,LIVE,9/28/22 20:47,9/28/22 21:30,,1,63%,Profile Activity Page Overview,9/29/22 16:47,G2
-Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,Review Tracking & Brand Building,LIVE,9/28/22 20:47,10/13/22 20:29,,1,86%,Marketing Content: Reference Pages,10/13/22 20:57,G2
-Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,The Review Rundown,LIVE,9/28/22 20:47,10/13/22 20:00,10/13/22 20:28,1,100%,Review Moderation,10/13/22 20:28,G2
-Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,G2 Profile Anatomy,,9/29/22 21:00,,,,,,,G2
-Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,Profile Performance & Lead Management,,9/29/22 21:00,,,,,,,G2
-Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,Review Tracking & Brand Building,,9/29/22 21:00,,,,,,,G2
-Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,The Review Rundown,,9/29/22 21:00,,,,,,,G2
-Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,G2 Profile Anatomy,,9/28/22 14:34,,,,,,,G2
-Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,Profile Performance & Lead Management,,9/28/22 14:34,,,,,,,G2
-Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,Review Tracking & Brand Building,,9/28/22 14:34,,,,,,,G2
-Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,The Review Rundown,,9/28/22 14:34,,,,,,,G2
-Conor Foley,cfoley@g2.com,cfoley@g2.com,G2 Profile Anatomy,LIVE,9/28/22 21:42,9/28/22 21:44,,1,0%,,,G2
-Conor Foley,cfoley@g2.com,cfoley@g2.com,Profile Performance & Lead Management,,9/28/22 21:42,,,,,,,G2
-Conor Foley,cfoley@g2.com,cfoley@g2.com,Review Tracking & Brand Building,,9/28/22 21:42,,,,,,,G2
-Conor Foley,cfoley@g2.com,cfoley@g2.com,The Review Rundown,,9/28/22 21:42,,,,,,,G2
-Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,G2 Profile Anatomy,LIVE,9/30/22 21:27,9/30/22 21:27,,1,0%,,,G2
-Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,Profile Performance & Lead Management,,9/30/22 21:27,,,,,,,G2
-Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,Review Tracking & Brand Building,,9/30/22 21:27,,,,,,,G2
-Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,The Review Rundown,,9/30/22 21:27,,,,,,,G2
-Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,G2 Profile Anatomy,LIVE,9/29/22 14:48,9/29/22 17:10,,1,0%,,,G2
-Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,Profile Performance & Lead Management,,9/29/22 14:48,,,,,,,G2
-Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,Review Tracking & Brand Building,,9/29/22 14:48,,,,,,,G2
-Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,The Review Rundown,,9/29/22 14:48,,,,,,,G2
-Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,G2 Profile Anatomy,,9/28/22 16:42,,,,,,,G2
-Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,Profile Performance & Lead Management,,9/28/22 16:42,,,,,,,G2
-Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,Review Tracking & Brand Building,,9/28/22 16:42,,,,,,,G2
-Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,The Review Rundown,,9/28/22 16:42,,,,,,,G2
-Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,G2 Profile Anatomy,LIVE,9/28/22 19:32,9/28/22 19:36,,1,0%,,,G2
-Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,Profile Performance & Lead Management,,9/28/22 19:32,,,,,,,G2
-Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,Review Tracking & Brand Building,,9/28/22 19:32,,,,,,,G2
-Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,The Review Rundown,,9/28/22 19:32,,,,,,,G2
-Dan Kantor,dkantor@g2.com,dkantor@g2.com,G2 Profile Anatomy,,9/28/22 19:56,,,,,,,G2
-Dan Kantor,dkantor@g2.com,dkantor@g2.com,Profile Performance & Lead Management,,9/28/22 19:56,,,,,,,G2
-Dan Kantor,dkantor@g2.com,dkantor@g2.com,Review Tracking & Brand Building,,9/28/22 19:56,,,,,,,G2
-Dan Kantor,dkantor@g2.com,dkantor@g2.com,The Review Rundown,,9/28/22 19:56,,,,,,,G2
-Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,G2 Profile Anatomy,LIVE,9/28/22 16:52,9/28/22 16:53,,1,17%,What is the Value of a G2 Profile?,9/28/22 16:56,G2
-Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,How to Respond to Reviews,LIVE,9/28/22 17:52,9/28/22 17:52,9/29/22 18:58,1,100%,Justified Negative Reviews,9/29/22 18:58,G2
-Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,Profile Performance & Lead Management,,9/28/22 16:52,,,,,,,G2
-Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,Review Tracking & Brand Building,,9/28/22 16:52,,,,,,,G2
-Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,The Review Rundown,,9/28/22 16:52,,,,,,,G2
-Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,G2 Profile Anatomy,,9/29/22 16:35,,,,,,,G2
-Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,Profile Performance & Lead Management,,9/29/22 16:35,,,,,,,G2
-Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,Review Tracking & Brand Building,,9/29/22 16:35,,,,,,,G2
-Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,The Review Rundown,,9/29/22 16:35,,,,,,,G2
-Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,Buyer Intent Basics,LIVE,9/28/22 22:07,9/28/22 22:07,,1,0%,,,G2
-Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,G2 Profile Anatomy,,9/28/22 22:06,,,,,,,G2
-Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,Profile Performance & Lead Management,,9/28/22 22:06,,,,,,,G2
-Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,Review Tracking & Brand Building,,9/28/22 22:06,,,,,,,G2
-Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,The Review Rundown,,9/28/22 22:06,,,,,,,G2
-Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,G2 Profile Anatomy,,9/28/22 21:07,,,,,,,G2
-Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,Profile Performance & Lead Management,,9/28/22 21:07,,,,,,,G2
-Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,Review Tracking & Brand Building,,9/28/22 21:07,,,,,,,G2
-Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,The Review Rundown,,9/28/22 21:07,,,,,,,G2
-Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,G2 Profile Anatomy,LIVE,9/29/22 18:54,11/2/22 20:01,11/3/22 14:08,1,100%,Adding CTA/Free Trial Buttons,11/3/22 14:08,G2
-Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,Profile Performance & Lead Management,,9/29/22 18:54,,,,,,,G2
-Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,Review Tracking & Brand Building,,9/29/22 18:54,,,,,,,G2
-Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,The Review Rundown,,9/29/22 18:54,,,,,,,G2
-Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,G2 Profile Anatomy,LIVE,9/29/22 16:05,9/29/22 16:09,,1,0%,,,G2
-Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,How to Use Buyer Intent,LIVE,9/29/22 16:05,9/29/22 16:05,,1,0%,,,G2
-Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,Profile Performance & Lead Management,,9/29/22 16:05,,,,,,,G2
-Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,Review Tracking & Brand Building,,9/29/22 16:05,,,,,,,G2
-Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,The Review Rundown,LIVE,9/29/22 16:05,9/29/22 17:12,,1,29%,Review Attribution Tags,9/29/22 17:17,G2
-Daryl Thomas,dthomas@g2.com,dthomas@g2.com,G2 Profile Anatomy,,9/30/22 7:17,,,,,,,G2
-Daryl Thomas,dthomas@g2.com,dthomas@g2.com,Profile Performance & Lead Management,,9/30/22 7:17,,,,,,,G2
-Daryl Thomas,dthomas@g2.com,dthomas@g2.com,Review Tracking & Brand Building,,9/30/22 7:17,,,,,,,G2
-Daryl Thomas,dthomas@g2.com,dthomas@g2.com,The Review Rundown,,9/30/22 7:17,,,,,,,G2
-Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,G2 Profile Anatomy,,9/28/22 22:01,,,,,,,G2
-Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,Profile Performance & Lead Management,,9/28/22 22:01,,,,,,,G2
-Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,Review Tracking & Brand Building,,9/28/22 22:01,,,,,,,G2
-Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,The Review Rundown,,9/28/22 22:01,,,,,,,G2
-Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,G2 Profile Anatomy,,5/28/22 15:36,,,,,,,G2
-Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,Profile Performance & Lead Management,,5/28/22 15:36,,,,,,,G2
-Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,Review Tracking & Brand Building,,5/28/22 15:36,,,,,,,G2
-Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,The Review Rundown,,5/28/22 15:36,,,,,,,G2
-David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,G2 Profile Anatomy,,9/29/22 20:55,,,,,,,G2
-David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,Profile Performance & Lead Management,,9/29/22 20:55,,,,,,,G2
-David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,Review Tracking & Brand Building,,9/29/22 20:55,,,,,,,G2
-David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,The Review Rundown,LIVE,9/29/22 20:55,9/29/22 20:58,,1,0%,,,G2
-David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,G2 Profile Anatomy,,9/28/22 19:06,,,,,,,G2
-David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,Profile Performance & Lead Management,,9/28/22 19:06,,,,,,,G2
-David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,Review Tracking & Brand Building,,9/28/22 19:06,,,,,,,G2
-David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,The Review Rundown,,9/28/22 19:06,,,,,,,G2
-David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,G2 Profile Anatomy,,9/29/22 14:06,,,,,,,G2
-David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,Profile Performance & Lead Management,,9/29/22 14:06,,,,,,,G2
-David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,Review Tracking & Brand Building,,9/29/22 14:06,,,,,,,G2
-David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,The Review Rundown,,9/29/22 14:06,,,,,,,G2
-David Krutonog,davidk@the-juno.com,davidk@the-juno.com,G2 Profile Anatomy,LIVE,9/29/22 6:57,9/29/22 6:58,,1,0%,,,G2
-David Krutonog,davidk@the-juno.com,davidk@the-juno.com,Profile Performance & Lead Management,,9/29/22 6:57,,,,,,,G2
-David Krutonog,davidk@the-juno.com,davidk@the-juno.com,Review Tracking & Brand Building,LIVE,9/29/22 6:57,9/29/22 6:58,,1,0%,,,G2
-David Krutonog,davidk@the-juno.com,davidk@the-juno.com,The Review Rundown,LIVE,9/29/22 6:57,9/29/22 6:58,,1,0%,,,G2
-David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,G2 Profile Anatomy,LIVE,10/3/22 7:03,10/3/22 7:05,11/2/22 11:54,1,100%,Top Tips Recap,11/2/22 11:54,G2
-David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,Profile Performance & Lead Management,LIVE,10/3/22 7:03,10/3/22 8:21,10/3/22 8:26,1,100%,Lead Webhooks,10/3/22 8:26,G2
-David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,Review Tracking & Brand Building,LIVE,10/3/22 7:03,11/2/22 11:56,,2,0%,,11/2/22 11:56,G2
-David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,Review Tracking & Brand Building,LIVE,10/3/22 7:03,10/3/22 7:41,10/3/22 8:20,1,100%,Review Integrations,10/3/22 8:20,G2
-David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,The Review Rundown,LIVE,10/3/22 7:03,10/3/22 7:06,10/3/22 7:39,1,100%,Review Moderation,10/3/22 7:39,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,Buyer Intent Basics,LIVE,10/25/22 20:29,10/25/22 20:29,10/25/22 20:44,1,100%,Integrations,10/25/22 20:44,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,G2 Profile Anatomy,LIVE,9/28/22 16:24,9/28/22 18:38,9/28/22 18:51,1,100%,Top Tips Recap,9/28/22 18:51,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,How to Respond to Reviews,LIVE,9/29/22 18:29,9/29/22 18:29,9/29/22 18:45,1,100%,Unactionable Negative Reviews,9/29/22 18:45,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,How to Use Buyer Intent,LIVE,10/26/22 18:44,10/26/22 18:44,10/26/22 19:08,1,100%,Buyer Intent Score Filter Recommendations,10/26/22 19:08,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,Preparing for G2 Reports,LIVE,10/19/22 14:58,10/19/22 14:58,10/19/22 15:41,1,100%,Report Calendar + Actions Required,10/19/22 15:41,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,Profile Performance & Lead Management,LIVE,9/28/22 16:24,10/17/22 20:04,10/17/22 20:32,1,100%,Lead Webhooks,10/17/22 20:32,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,Review Tracking & Brand Building,LIVE,9/28/22 16:24,9/29/22 18:24,10/17/22 20:04,1,100%,Review Integrations,10/17/22 20:04,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,The Review Rundown,11,9/28/22 16:24,9/28/22 18:52,9/28/22 18:57,1,100%,Review Moderation,9/28/22 18:57,G2
-David Vero,dvero@successfinder.com,dvero@successfinder.com,What is the G2 Content Subscription?,LIVE,10/25/22 19:07,10/25/22 19:07,10/25/22 20:29,1,100%,Infographics,10/25/22 20:29,G2
-Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,G2 Profile Anatomy,,9/22/22 12:10,,,,,,,G2
-Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,Profile Performance & Lead Management,,9/22/22 12:10,,,,,,,G2
-Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,Review Tracking & Brand Building,,9/22/22 12:10,,,,,,,G2
-Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,The Review Rundown,,9/22/22 12:10,,,,,,,G2
-Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,G2 Profile Anatomy,,9/29/22 19:17,,,,,,,G2
-Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,Profile Performance & Lead Management,,9/29/22 19:17,,,,,,,G2
-Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,Review Tracking & Brand Building,,9/29/22 19:17,,,,,,,G2
-Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,The Review Rundown,,9/29/22 19:17,,,,,,,G2
-Deborah Komkov,deborah@guusto.com,deborah@guusto.com,G2 Profile Anatomy,LIVE,9/28/22 20:30,9/28/22 20:31,9/28/22 20:32,1,100%,Top Tips Recap,9/28/22 20:32,G2
-Deborah Komkov,deborah@guusto.com,deborah@guusto.com,How to Respond to Reviews,LIVE,9/28/22 20:34,9/28/22 20:34,9/28/22 20:38,1,100%,Unactionable Negative Reviews,9/28/22 20:38,G2
-Deborah Komkov,deborah@guusto.com,deborah@guusto.com,Profile Performance & Lead Management,,9/28/22 20:30,,,,,,,G2
-Deborah Komkov,deborah@guusto.com,deborah@guusto.com,Review Tracking & Brand Building,,9/28/22 20:30,,,,,,,G2
-Deborah Komkov,deborah@guusto.com,deborah@guusto.com,The Review Rundown,LIVE,9/28/22 20:30,9/28/22 20:38,,1,0%,,,G2
-Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,G2 Profile Anatomy,LIVE,9/30/22 21:44,9/30/22 21:45,,1,0%,,,G2
-Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,Profile Performance & Lead Management,LIVE,9/30/22 21:44,9/30/22 21:45,9/30/22 21:51,1,100%,Lead Webhooks,9/30/22 21:51,G2
-Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,Review Tracking & Brand Building,,9/30/22 21:44,,,,,,,G2
-Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,The Review Rundown,,9/30/22 21:44,,,,,,,G2
-Demo Northpass,northpass@g2.com,,G2 Profile Anatomy,3,1/26/22 19:07,2/28/22 20:58,,1,0%,,,G2
-Demo Northpass,northpass@g2.com,,Profile Performance & Lead Management,,1/26/22 19:07,,,,,,,G2
-Demo Northpass,northpass@g2.com,,Review Tracking & Brand Building,,1/26/22 19:07,,,,,,,G2
-Demo Northpass,northpass@g2.com,,The Review Rundown,,1/26/22 19:07,,,,,,,G2
-Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,G2 Profile Anatomy,,9/28/22 19:11,,,,,,,G2
-Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,Profile Performance & Lead Management,,9/28/22 19:11,,,,,,,G2
-Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,Review Tracking & Brand Building,,9/28/22 19:11,,,,,,,G2
-Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,The Review Rundown,,9/28/22 19:11,,,,,,,G2
-Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,G2 Profile Anatomy,,9/29/22 19:01,,,,,,,G2
-Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,Profile Performance & Lead Management,,9/29/22 19:01,,,,,,,G2
-Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,Review Tracking & Brand Building,,9/29/22 19:01,,,,,,,G2
-Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,The Review Rundown,,9/29/22 19:01,,,,,,,G2
-Dylan Ward,dward@slicktext.com,dward@slicktext.com,G2 Profile Anatomy,,9/28/22 14:46,,,,,,,G2
-Dylan Ward,dward@slicktext.com,dward@slicktext.com,Profile Performance & Lead Management,,9/28/22 14:46,,,,,,,G2
-Dylan Ward,dward@slicktext.com,dward@slicktext.com,Review Tracking & Brand Building,,9/28/22 14:46,,,,,,,G2
-Dylan Ward,dward@slicktext.com,dward@slicktext.com,The Review Rundown,11,9/28/22 14:46,9/28/22 14:46,9/28/22 14:52,1,100%,Review Moderation,9/28/22 14:52,G2
-Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,G2 Profile Anatomy,,9/28/22 19:16,,,,,,,G2
-Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,Profile Performance & Lead Management,,9/28/22 19:16,,,,,,,G2
-Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,Review Tracking & Brand Building,,9/28/22 19:16,,,,,,,G2
-Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,The Review Rundown,,9/28/22 19:16,,,,,,,G2
-Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,G2 Profile Anatomy,,7/7/22 13:30,,,,,,,G2
-Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,Profile Performance & Lead Management,,7/7/22 13:30,,,,,,,G2
-Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,Review Tracking & Brand Building,,7/7/22 13:30,,,,,,,G2
-Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,The Review Rundown,,7/7/22 13:30,,,,,,,G2
-Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,G2 Profile Anatomy,,9/30/22 6:19,,,,,,,G2
-Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,Profile Performance & Lead Management,,9/30/22 6:19,,,,,,,G2
-Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,Review Tracking & Brand Building,,9/30/22 6:19,,,,,,,G2
-Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,The Review Rundown,,9/30/22 6:19,,,,,,,G2
-Eden Scott-Reid,eden@accountek.com,eden@accountek.com,G2 Profile Anatomy,,9/26/22 14:51,,,,,,,G2
-Eden Scott-Reid,eden@accountek.com,eden@accountek.com,Profile Performance & Lead Management,,9/26/22 14:51,,,,,,,G2
-Eden Scott-Reid,eden@accountek.com,eden@accountek.com,Review Tracking & Brand Building,,9/26/22 14:51,,,,,,,G2
-Eden Scott-Reid,eden@accountek.com,eden@accountek.com,The Review Rundown,,9/26/22 14:51,,,,,,,G2
-Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,G2 Profile Anatomy,,9/30/22 11:35,,,,,,,G2
-Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,Profile Performance & Lead Management,LIVE,9/30/22 11:35,9/30/22 11:35,,1,0%,,,G2
-Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,Review Tracking & Brand Building,,9/30/22 11:35,,,,,,,G2
-Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,The Review Rundown,,9/30/22 11:35,,,,,,,G2
-Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,G2 Profile Anatomy,,9/29/22 8:43,,,,,,,G2
-Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,Profile Performance & Lead Management,,9/29/22 8:43,,,,,,,G2
-Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,Review Tracking & Brand Building,,9/29/22 8:43,,,,,,,G2
-Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,The Review Rundown,,9/29/22 8:43,,,,,,,G2
-Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,G2 Profile Anatomy,,9/28/22 18:52,,,,,,,G2
-Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,Profile Performance & Lead Management,,9/28/22 18:52,,,,,,,G2
-Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,Review Tracking & Brand Building,,9/28/22 18:52,,,,,,,G2
-Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,The Review Rundown,,9/28/22 18:52,,,,,,,G2
-Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,G2 Profile Anatomy,,9/28/22 20:16,,,,,,,G2
-Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,Profile Performance & Lead Management,,9/28/22 20:16,,,,,,,G2
-Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,Review Tracking & Brand Building,,9/28/22 20:16,,,,,,,G2
-Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,The Review Rundown,,9/28/22 20:16,,,,,,,G2
-Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,G2 Profile Anatomy,,9/26/22 17:48,,,,,,,G2
-Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,Profile Performance & Lead Management,,9/26/22 17:48,,,,,,,G2
-Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,Review Tracking & Brand Building,,9/26/22 17:48,,,,,,,G2
-Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,The Review Rundown,,9/26/22 17:48,,,,,,,G2
-Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,G2 Profile Anatomy,,9/29/22 20:22,,,,,,,G2
-Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,Profile Performance & Lead Management,,9/29/22 20:22,,,,,,,G2
-Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,Review Tracking & Brand Building,,9/29/22 20:22,,,,,,,G2
-Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,The Review Rundown,,9/29/22 20:22,,,,,,,G2
-Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,G2 Profile Anatomy,LIVE,9/28/22 19:18,9/28/22 19:20,,1,0%,,,G2
-Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,Profile Performance & Lead Management,,9/28/22 19:18,,,,,,,G2
-Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,Review Tracking & Brand Building,,9/28/22 19:18,,,,,,,G2
-Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,The Review Rundown,,9/28/22 19:18,,,,,,,G2
-Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,G2 Profile Anatomy,LIVE,9/28/22 20:25,9/28/22 20:25,,1,0%,,,G2
-Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,Profile Performance & Lead Management,,9/28/22 20:25,,,,,,,G2
-Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,Review Tracking & Brand Building,,9/28/22 20:25,,,,,,,G2
-Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,The Review Rundown,,9/28/22 20:25,,,,,,,G2
-Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,G2 Profile Anatomy,,9/29/22 9:04,,,,,,,G2
-Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,Profile Performance & Lead Management,,9/29/22 9:04,,,,,,,G2
-Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,Review Tracking & Brand Building,,9/29/22 9:04,,,,,,,G2
-Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,The Review Rundown,,9/29/22 9:04,,,,,,,G2
-Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,G2 Profile Anatomy,,10/3/22 12:33,,,,,,,G2
-Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,Profile Performance & Lead Management,,10/3/22 12:33,,,,,,,G2
-Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,Review Tracking & Brand Building,,10/3/22 12:33,,,,,,,G2
-Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,The Review Rundown,,10/3/22 12:33,,,,,,,G2
-Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,G2 Profile Anatomy,,9/29/22 14:23,,,,,,,G2
-Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,Profile Performance & Lead Management,,9/29/22 14:23,,,,,,,G2
-Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,Review Tracking & Brand Building,,9/29/22 14:23,,,,,,,G2
-Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,The Review Rundown,,9/29/22 14:23,,,,,,,G2
-Emma King,eking@g2.com,eking@g2.com,G2 Profile Anatomy,,9/20/22 19:50,,,,,,,G2
-Emma King,eking@g2.com,eking@g2.com,Profile Performance & Lead Management,,9/20/22 19:50,,,,,,,G2
-Emma King,eking@g2.com,eking@g2.com,Review Tracking & Brand Building,,9/20/22 19:50,,,,,,,G2
-Emma King,eking@g2.com,eking@g2.com,The Review Rundown,,9/20/22 19:50,,,,,,,G2
-emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,G2 Profile Anatomy,,9/28/22 19:22,,,,,,,G2
-emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,Profile Performance & Lead Management,,9/28/22 19:22,,,,,,,G2
-emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,Review Tracking & Brand Building,,9/28/22 19:22,,,,,,,G2
-emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,The Review Rundown,,9/28/22 19:22,,,,,,,G2
-Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,G2 Profile Anatomy,,9/20/22 15:14,,,,,,,G2
-Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,Profile Performance & Lead Management,,9/20/22 15:14,,,,,,,G2
-Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,Review Tracking & Brand Building,,9/20/22 15:14,,,,,,,G2
-Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,The Review Rundown,,9/20/22 15:14,,,,,,,G2
-Erin Boyd,eboyd@g2.com,eboyd@g2.com,Buyer Intent Basics,LIVE,10/7/22 17:52,10/7/22 17:52,,1,0%,,,G2
-Erin Boyd,eboyd@g2.com,eboyd@g2.com,G2 Profile Anatomy,LIVE,9/20/22 11:19,9/26/22 17:37,,1,0%,,,G2
-Erin Boyd,eboyd@g2.com,eboyd@g2.com,How to Respond to Reviews,LIVE,9/20/22 11:20,9/20/22 11:20,,1,8%,Unactionable Negative Reviews,10/17/22 18:08,G2
-Erin Boyd,eboyd@g2.com,eboyd@g2.com,Profile Performance & Lead Management,,9/20/22 11:19,,,,,,,G2
-Erin Boyd,eboyd@g2.com,eboyd@g2.com,Review Tracking & Brand Building,,9/20/22 11:19,,,,,,,G2
-Erin Boyd,eboyd@g2.com,eboyd@g2.com,The Review Rundown,LIVE,9/20/22 11:19,9/30/22 14:18,,1,43%,Intro/4 Pillars,9/30/22 14:19,G2
-Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,G2 Profile Anatomy,LIVE,9/28/22 14:15,10/17/22 18:15,,1,0%,,,G2
-Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,How to Respond to Reviews,LIVE,10/24/22 21:12,10/24/22 21:12,,1,17%,Formulating a Response to Negative Reviews,10/24/22 21:12,G2
-Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,Profile Performance & Lead Management,LIVE,9/28/22 14:15,10/12/22 21:36,,1,13%,Lead Activity & Lead Emails,10/12/22 21:36,G2
-Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,Review Tracking & Brand Building,,9/28/22 14:15,,,,,,,G2
-Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,The Review Rundown,11,9/28/22 14:15,9/28/22 18:23,,1,14%,Intro/4 Pillars,10/13/22 14:17,G2
-Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,G2 Profile Anatomy,,9/28/22 21:16,,,,,,,G2
-Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,Profile Performance & Lead Management,,9/28/22 21:16,,,,,,,G2
-Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,Review Tracking & Brand Building,,9/28/22 21:16,,,,,,,G2
-Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,The Review Rundown,,9/28/22 21:16,,,,,,,G2
-Evan Dunn,evan@syncari.com,evan@syncari.com,G2 Profile Anatomy,,9/28/22 19:16,,,,,,,G2
-Evan Dunn,evan@syncari.com,evan@syncari.com,Profile Performance & Lead Management,,9/28/22 19:16,,,,,,,G2
-Evan Dunn,evan@syncari.com,evan@syncari.com,Review Tracking & Brand Building,,9/28/22 19:16,,,,,,,G2
-Evan Dunn,evan@syncari.com,evan@syncari.com,The Review Rundown,,9/28/22 19:16,,,,,,,G2
-Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,G2 Profile Anatomy,,9/30/22 9:46,,,,,,,G2
-Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,Profile Performance & Lead Management,,9/30/22 9:46,,,,,,,G2
-Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,Review Tracking & Brand Building,,9/30/22 9:46,,,,,,,G2
-Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,The Review Rundown,,9/30/22 9:46,,,,,,,G2
-Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,G2 Profile Anatomy,,9/29/22 7:13,,,,,,,G2
-Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,Profile Performance & Lead Management,,9/29/22 7:13,,,,,,,G2
-Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,Review Tracking & Brand Building,,9/29/22 7:13,,,,,,,G2
-Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,The Review Rundown,,9/29/22 7:13,,,,,,,G2
-Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,G2 Profile Anatomy,,9/29/22 6:52,,,,,,,G2
-Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,Profile Performance & Lead Management,,9/29/22 6:52,,,,,,,G2
-Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,Review Tracking & Brand Building,,9/29/22 6:52,,,,,,,G2
-Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,The Review Rundown,,9/29/22 6:52,,,,,,,G2
-Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,G2 Profile Anatomy,,9/29/22 17:37,,,,,,,G2
-Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,Profile Performance & Lead Management,,9/29/22 17:37,,,,,,,G2
-Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,Review Tracking & Brand Building,,9/29/22 17:37,,,,,,,G2
-Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,The Review Rundown,,9/29/22 17:37,,,,,,,G2
-George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,G2 Profile Anatomy,LIVE,9/28/22 19:42,9/28/22 19:42,,1,0%,,,G2
-George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,Profile Performance & Lead Management,,9/28/22 19:42,,,,,,,G2
-George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,Review Tracking & Brand Building,,9/28/22 19:42,,,,,,,G2
-George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,The Review Rundown,,9/28/22 19:42,,,,,,,G2
-Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,G2 Profile Anatomy,,9/28/22 19:04,,,,,,,G2
-Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,How to Respond to Reviews,LIVE,10/6/22 20:34,10/6/22 20:34,,1,17%,A Framework for Responding to Reviews,10/14/22 18:28,G2
-Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,Profile Performance & Lead Management,,9/28/22 19:04,,,,,,,G2
-Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,Review Tracking & Brand Building,,9/28/22 19:04,,,,,,,G2
-Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,The Review Rundown,,9/28/22 19:04,,,,,,,G2
-Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,G2 Profile Anatomy,,9/28/22 19:25,,,,,,,G2
-Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,Profile Performance & Lead Management,,9/28/22 19:25,,,,,,,G2
-Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,Review Tracking & Brand Building,,9/28/22 19:25,,,,,,,G2
-Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,The Review Rundown,,9/28/22 19:25,,,,,,,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,Buyer Intent Basics,5,9/28/22 20:58,9/28/22 20:58,9/28/22 21:00,1,100%,Integrations,9/28/22 21:00,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,Buyer Intent Basics,5,9/28/22 20:58,9/28/22 21:02,9/28/22 21:03,2,100%,Integrations,9/28/22 21:03,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,G2 Profile Anatomy,,9/28/22 19:09,,,,,,,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,How to Respond to Reviews,LIVE,9/28/22 21:06,9/28/22 21:06,9/28/22 21:07,1,100%,Unactionable Negative Reviews,9/28/22 21:07,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,How to Use Buyer Intent,LIVE,9/28/22 21:00,9/28/22 21:00,9/28/22 21:02,1,100%,Buyer Intent Score Filter Recommendations,9/28/22 21:02,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,Preparing for G2 Reports,LIVE,9/28/22 21:03,9/28/22 21:03,9/28/22 21:04,1,100%,Results Index Criteria,9/28/22 21:04,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,Profile Performance & Lead Management,LIVE,9/28/22 19:09,9/28/22 21:05,9/28/22 21:05,1,100%,Lead Webhooks,9/28/22 21:05,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,Review Tracking & Brand Building,,9/28/22 19:09,,,,,,,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,The Review Rundown,,9/28/22 19:09,,,,,,,G2
-Gina Carr,gcarr@g2.com,gcarr@g2.com,What is the G2 Content Subscription?,9,9/28/22 20:53,9/28/22 20:53,9/28/22 20:57,1,100%,Infographics,9/28/22 20:57,G2
-Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,G2 Profile Anatomy,LIVE,9/28/22 16:39,10/3/22 16:55,,1,0%,,,G2
-Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,Profile Performance & Lead Management,,9/28/22 16:39,,,,,,,G2
-Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,Review Tracking & Brand Building,,9/28/22 16:39,,,,,,,G2
-Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,The Review Rundown,LIVE,9/28/22 16:39,10/3/22 16:55,,1,0%,,,G2
-Grayden Knoll,gknoll@relias.com,gknoll@relias.com,G2 Profile Anatomy,,9/28/22 19:15,,,,,,,G2
-Grayden Knoll,gknoll@relias.com,gknoll@relias.com,Profile Performance & Lead Management,,9/28/22 19:15,,,,,,,G2
-Grayden Knoll,gknoll@relias.com,gknoll@relias.com,Review Tracking & Brand Building,,9/28/22 19:15,,,,,,,G2
-Grayden Knoll,gknoll@relias.com,gknoll@relias.com,The Review Rundown,,9/28/22 19:15,,,,,,,G2
-Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,G2 Profile Anatomy,,9/28/22 19:57,,,,,,,G2
-Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,Profile Performance & Lead Management,,9/28/22 19:57,,,,,,,G2
-Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,Review Tracking & Brand Building,,9/28/22 19:57,,,,,,,G2
-Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,The Review Rundown,,9/28/22 19:57,,,,,,,G2
-Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,G2 Profile Anatomy,,9/30/22 9:57,,,,,,,G2
-Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,Profile Performance & Lead Management,,9/30/22 9:57,,,,,,,G2
-Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,Review Tracking & Brand Building,,9/30/22 9:57,,,,,,,G2
-Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,The Review Rundown,,9/30/22 9:57,,,,,,,G2
-Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,G2 Profile Anatomy,,9/28/22 19:51,,,,,,,G2
-Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,How to Use Buyer Intent,LIVE,10/11/22 17:53,10/11/22 17:53,,1,7%,Plan Building,10/11/22 17:54,G2
-Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,Preparing for G2 Reports,LIVE,10/11/22 17:50,10/11/22 17:50,,1,36%,Draft Edit Request Deadline,10/11/22 17:52,G2
-Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,Profile Performance & Lead Management,,9/28/22 19:51,,,,,,,G2
-Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,Review Tracking & Brand Building,,9/28/22 19:51,,,,,,,G2
-Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,The Review Rundown,,9/28/22 19:51,,,,,,,G2
-Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,G2 Profile Anatomy,,9/29/22 2:26,,,,,,,G2
-Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,Profile Performance & Lead Management,,9/29/22 2:26,,,,,,,G2
-Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,Review Tracking & Brand Building,,9/29/22 2:26,,,,,,,G2
-Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,The Review Rundown,,9/29/22 2:26,,,,,,,G2
-Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,G2 Profile Anatomy,,9/28/22 21:55,,,,,,,G2
-Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,Profile Performance & Lead Management,,9/28/22 21:55,,,,,,,G2
-Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,Review Tracking & Brand Building,,9/28/22 21:55,,,,,,,G2
-Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,The Review Rundown,,9/28/22 21:55,,,,,,,G2
-Hannah Mathew,hannah@louassist.com,hannah@louassist.com,G2 Profile Anatomy,LIVE,9/28/22 17:51,9/28/22 17:52,,1,0%,,,G2
-Hannah Mathew,hannah@louassist.com,hannah@louassist.com,Profile Performance & Lead Management,,9/28/22 17:51,,,,,,,G2
-Hannah Mathew,hannah@louassist.com,hannah@louassist.com,Review Tracking & Brand Building,LIVE,9/28/22 17:51,10/10/22 16:04,,1,0%,,,G2
-Hannah Mathew,hannah@louassist.com,hannah@louassist.com,The Review Rundown,,9/28/22 17:51,,,,,,,G2
-Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,G2 Profile Anatomy,,9/28/22 19:45,,,,,,,G2
-Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,Profile Performance & Lead Management,,9/28/22 19:45,,,,,,,G2
-Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,Review Tracking & Brand Building,,9/28/22 19:45,,,,,,,G2
-Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,The Review Rundown,,9/28/22 19:45,,,,,,,G2
-Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,G2 Profile Anatomy,LIVE,9/30/22 4:06,9/30/22 4:07,10/5/22 6:50,1,100%,Top Tips Recap,10/5/22 6:50,G2
-Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,Profile Performance & Lead Management,,9/30/22 4:06,,,,,,,G2
-Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,Review Tracking & Brand Building,LIVE,9/30/22 4:06,10/8/22 12:03,,1,0%,,,G2
-Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,The Review Rundown,LIVE,9/30/22 4:06,10/8/22 11:21,10/8/22 12:02,1,100%,Review Moderation,10/8/22 12:02,G2
-Ido Shapira,ido@chattermill.io,ido@chattermill.io,G2 Profile Anatomy,,9/29/22 10:46,,,,,,,G2
-Ido Shapira,ido@chattermill.io,ido@chattermill.io,Profile Performance & Lead Management,,9/29/22 10:46,,,,,,,G2
-Ido Shapira,ido@chattermill.io,ido@chattermill.io,Review Tracking & Brand Building,,9/29/22 10:46,,,,,,,G2
-Ido Shapira,ido@chattermill.io,ido@chattermill.io,The Review Rundown,,9/29/22 10:46,,,,,,,G2
-Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,Buyer Intent Basics,LIVE,9/29/22 9:53,9/29/22 9:53,,1,0%,,,G2
-Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,G2 Profile Anatomy,,9/29/22 9:51,,,,,,,G2
-Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,Profile Performance & Lead Management,,9/29/22 9:51,,,,,,,G2
-Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,Review Tracking & Brand Building,,9/29/22 9:51,,,,,,,G2
-Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,The Review Rundown,,9/29/22 9:51,,,,,,,G2
-Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,G2 Profile Anatomy,,9/29/22 6:39,,,,,,,G2
-Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,Profile Performance & Lead Management,,9/29/22 6:39,,,,,,,G2
-Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,Review Tracking & Brand Building,,9/29/22 6:39,,,,,,,G2
-Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,The Review Rundown,,9/29/22 6:39,,,,,,,G2
-Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,What is the G2 Content Subscription?,LIVE,9/29/22 6:43,9/29/22 6:43,,1,33%,Grid Reports,9/29/22 7:16,G2
-Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,G2 Profile Anatomy,,9/29/22 1:49,,,,,,,G2
-Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,How to Use Buyer Intent,LIVE,9/29/22 1:49,9/29/22 1:49,,1,0%,,,G2
-Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,Profile Performance & Lead Management,,9/29/22 1:49,,,,,,,G2
-Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,Review Tracking & Brand Building,,9/29/22 1:49,,,,,,,G2
-Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,The Review Rundown,,9/29/22 1:49,,,,,,,G2
-Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,G2 Profile Anatomy,,9/30/22 6:26,,,,,,,G2
-Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,Profile Performance & Lead Management,,9/30/22 6:26,,,,,,,G2
-Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,Review Tracking & Brand Building,,9/30/22 6:26,,,,,,,G2
-Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,The Review Rundown,,9/30/22 6:26,,,,,,,G2
-Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,G2 Profile Anatomy,,9/23/22 20:54,,,,,,,G2
-Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,Profile Performance & Lead Management,,9/23/22 20:54,,,,,,,G2
-Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,Review Tracking & Brand Building,,9/23/22 20:54,,,,,,,G2
-Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,The Review Rundown,,9/23/22 20:54,,,,,,,G2
-Jacob Rouser,jrouser@groove.co,jrouser@groove.co,G2 Profile Anatomy,,9/28/22 20:33,,,,,,,G2
-Jacob Rouser,jrouser@groove.co,jrouser@groove.co,Profile Performance & Lead Management,,9/28/22 20:33,,,,,,,G2
-Jacob Rouser,jrouser@groove.co,jrouser@groove.co,Review Tracking & Brand Building,,9/28/22 20:33,,,,,,,G2
-Jacob Rouser,jrouser@groove.co,jrouser@groove.co,The Review Rundown,,9/28/22 20:33,,,,,,,G2
-Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,G2 Profile Anatomy,,10/3/22 15:50,,,,,,,G2
-Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,G2 Profile Anatomy,LIVE,9/28/22 16:13,9/28/22 16:17,,1,0%,,,G2
-Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,Preparing for G2 Reports,LIVE,10/3/22 15:51,10/3/22 15:51,,1,43%,Report Release,10/3/22 15:51,G2
-Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,Profile Performance & Lead Management,,10/3/22 15:50,,,,,,,G2
-Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,Profile Performance & Lead Management,,9/28/22 16:13,,,,,,,G2
-Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,Review Tracking & Brand Building,,10/3/22 15:50,,,,,,,G2
-Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,Review Tracking & Brand Building,LIVE,9/28/22 16:13,9/29/22 18:34,9/29/22 18:36,1,100%,Review Integrations,9/29/22 18:36,G2
-Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,The Review Rundown,,10/3/22 15:50,,,,,,,G2
-Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,The Review Rundown,11,9/28/22 16:13,9/28/22 16:18,,1,57%,Types of G2 Review Generation,9/28/22 17:54,G2
-Jamie Perl,jperl@g2.com,jperl@g2.com,G2 Profile Anatomy,,9/28/22 15:05,,,,,,,G2
-Jamie Perl,jperl@g2.com,jperl@g2.com,Profile Performance & Lead Management,,9/28/22 15:05,,,,,,,G2
-Jamie Perl,jperl@g2.com,jperl@g2.com,Review Tracking & Brand Building,LIVE,9/28/22 15:05,10/4/22 19:57,,1,0%,,,G2
-Jamie Perl,jperl@g2.com,jperl@g2.com,The Review Rundown,LIVE,9/28/22 15:05,9/29/22 16:27,,1,0%,,,G2
-Jamison Moore,jamison@spotio.com,jamison@spotio.com,G2 Profile Anatomy,,9/28/22 19:16,,,,,,,G2
-Jamison Moore,jamison@spotio.com,jamison@spotio.com,Profile Performance & Lead Management,,9/28/22 19:16,,,,,,,G2
-Jamison Moore,jamison@spotio.com,jamison@spotio.com,Review Tracking & Brand Building,,9/28/22 19:16,,,,,,,G2
-Jamison Moore,jamison@spotio.com,jamison@spotio.com,The Review Rundown,,9/28/22 19:16,,,,,,,G2
-Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,G2 Profile Anatomy,,9/29/22 16:39,,,,,,,G2
-Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,Profile Performance & Lead Management,,9/29/22 16:39,,,,,,,G2
-Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,Review Tracking & Brand Building,,9/29/22 16:39,,,,,,,G2
-Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,The Review Rundown,,9/29/22 16:39,,,,,,,G2
-Jared Olschewski,jared@kadence.co,jared@kadence.co,G2 Profile Anatomy,,9/28/22 21:34,,,,,,,G2
-Jared Olschewski,jared@kadence.co,jared@kadence.co,Profile Performance & Lead Management,,9/28/22 21:34,,,,,,,G2
-Jared Olschewski,jared@kadence.co,jared@kadence.co,Review Tracking & Brand Building,,9/28/22 21:34,,,,,,,G2
-Jared Olschewski,jared@kadence.co,jared@kadence.co,The Review Rundown,,9/28/22 21:34,,,,,,,G2
-Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,G2 Profile Anatomy,LIVE,9/29/22 8:11,9/29/22 8:11,,1,0%,,,G2
-Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,Profile Performance & Lead Management,,9/29/22 8:11,,,,,,,G2
-Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,Review Tracking & Brand Building,,9/29/22 8:11,,,,,,,G2
-Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,The Review Rundown,,9/29/22 8:11,,,,,,,G2
-Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,G2 Profile Anatomy,,9/28/22 20:20,,,,,,,G2
-Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,Profile Performance & Lead Management,,9/28/22 20:20,,,,,,,G2
-Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,Review Tracking & Brand Building,,9/28/22 20:20,,,,,,,G2
-Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,The Review Rundown,,9/28/22 20:20,,,,,,,G2
-Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,G2 Profile Anatomy,,9/28/22 20:44,,,,,,,G2
-Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,Profile Performance & Lead Management,,9/28/22 20:44,,,,,,,G2
-Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,Review Tracking & Brand Building,,9/28/22 20:44,,,,,,,G2
-Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,The Review Rundown,,9/28/22 20:44,,,,,,,G2
-Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,Buyer Intent Basics,5,9/28/22 19:27,9/28/22 19:27,,1,0%,,,G2
-Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,G2 Profile Anatomy,,9/28/22 19:27,,,,,,,G2
-Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,Profile Performance & Lead Management,,9/28/22 19:27,,,,,,,G2
-Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,Review Tracking & Brand Building,,9/28/22 19:27,,,,,,,G2
-Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,The Review Rundown,,9/28/22 19:27,,,,,,,G2
-Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,G2 Profile Anatomy,,9/28/22 23:27,,,,,,,G2
-Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,Profile Performance & Lead Management,,9/28/22 23:27,,,,,,,G2
-Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,Review Tracking & Brand Building,,9/28/22 23:27,,,,,,,G2
-Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,The Review Rundown,,9/28/22 23:27,,,,,,,G2
-Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,G2 Profile Anatomy,,9/29/22 18:46,,,,,,,G2
-Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,Profile Performance & Lead Management,,9/29/22 18:46,,,,,,,G2
-Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,Review Tracking & Brand Building,,9/29/22 18:46,,,,,,,G2
-Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,The Review Rundown,,9/29/22 18:46,,,,,,,G2
-Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,G2 Profile Anatomy,,9/28/22 17:57,,,,,,,G2
-Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,Profile Performance & Lead Management,,9/28/22 17:57,,,,,,,G2
-Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,Review Tracking & Brand Building,,9/28/22 17:57,,,,,,,G2
-Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,The Review Rundown,,9/28/22 17:57,,,,,,,G2
-Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,G2 Profile Anatomy,,9/23/22 4:27,,,,,,,G2
-Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,Profile Performance & Lead Management,,9/23/22 4:27,,,,,,,G2
-Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,Review Tracking & Brand Building,LIVE,9/23/22 4:27,9/23/22 4:27,,1,0%,,,G2
-Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,The Review Rundown,11,9/23/22 4:27,9/23/22 4:28,,1,0%,,,G2
-Jeremy Lee,jlee2@g2.com,jlee2@g2.com,G2 Profile Anatomy,,9/28/22 13:28,,,,,,,G2
-Jeremy Lee,jlee2@g2.com,jlee2@g2.com,Profile Performance & Lead Management,,9/28/22 13:28,,,,,,,G2
-Jeremy Lee,jlee2@g2.com,jlee2@g2.com,Review Tracking & Brand Building,,9/28/22 13:28,,,,,,,G2
-Jeremy Lee,jlee2@g2.com,jlee2@g2.com,The Review Rundown,,9/28/22 13:28,,,,,,,G2
-Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,G2 Profile Anatomy,,9/28/22 19:17,,,,,,,G2
-Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,Profile Performance & Lead Management,,9/28/22 19:17,,,,,,,G2
-Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,Review Tracking & Brand Building,,9/28/22 19:17,,,,,,,G2
-Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,The Review Rundown,,9/28/22 19:17,,,,,,,G2
-Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,G2 Profile Anatomy,,10/3/22 12:58,,,,,,,G2
-Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,Profile Performance & Lead Management,,10/3/22 12:58,,,,,,,G2
-Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,Review Tracking & Brand Building,,10/3/22 12:58,,,,,,,G2
-Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,The Review Rundown,,10/3/22 12:58,,,,,,,G2
-Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,G2 Profile Anatomy,,9/28/22 15:45,,,,,,,G2
-Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,How to Use Buyer Intent,LIVE,10/3/22 16:16,10/3/22 16:16,,1,0%,,,G2
-Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,Profile Performance & Lead Management,,9/28/22 15:45,,,,,,,G2
-Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,Review Tracking & Brand Building,,9/28/22 15:45,,,,,,,G2
-Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,The Review Rundown,,9/28/22 15:45,,,,,,,G2
-Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,G2 Profile Anatomy,,9/28/22 19:55,,,,,,,G2
-Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,Profile Performance & Lead Management,,9/28/22 19:55,,,,,,,G2
-Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,Review Tracking & Brand Building,,9/28/22 19:55,,,,,,,G2
-Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,The Review Rundown,,9/28/22 19:55,,,,,,,G2
-Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,G2 Profile Anatomy,,9/28/22 13:46,,,,,,,G2
-Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,Profile Performance & Lead Management,LIVE,9/28/22 13:46,9/29/22 13:55,,1,0%,,,G2
-Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,Review Tracking & Brand Building,,9/28/22 13:46,,,,,,,G2
-Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,The Review Rundown,,9/28/22 13:46,,,,,,,G2
-Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,G2 Profile Anatomy,,9/28/22 19:32,,,,,,,G2
-Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,Profile Performance & Lead Management,,9/28/22 19:32,,,,,,,G2
-Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,Review Tracking & Brand Building,,9/28/22 19:32,,,,,,,G2
-Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,The Review Rundown,,9/28/22 19:32,,,,,,,G2
-Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,G2 Profile Anatomy,,9/29/22 8:20,,,,,,,G2
-Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,Profile Performance & Lead Management,,9/29/22 8:20,,,,,,,G2
-Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,Review Tracking & Brand Building,,9/29/22 8:20,,,,,,,G2
-Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,The Review Rundown,,9/29/22 8:20,,,,,,,G2
-Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,G2 Profile Anatomy,,9/28/22 19:44,,,,,,,G2
-Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,Profile Performance & Lead Management,,9/28/22 19:44,,,,,,,G2
-Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,Review Tracking & Brand Building,,9/28/22 19:44,,,,,,,G2
-Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,The Review Rundown,,9/28/22 19:44,,,,,,,G2
-John Croll,john@truescope.com,john@truescope.com,G2 Profile Anatomy,,9/30/22 5:00,,,,,,,G2
-John Croll,john@truescope.com,john@truescope.com,Profile Performance & Lead Management,,9/30/22 5:00,,,,,,,G2
-John Croll,john@truescope.com,john@truescope.com,Review Tracking & Brand Building,,9/30/22 5:00,,,,,,,G2
-John Croll,john@truescope.com,john@truescope.com,The Review Rundown,,9/30/22 5:00,,,,,,,G2
-Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,G2 Profile Anatomy,,9/28/22 20:25,,,,,,,G2
-Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,Profile Performance & Lead Management,,9/28/22 20:25,,,,,,,G2
-Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,Review Tracking & Brand Building,,9/28/22 20:25,,,,,,,G2
-Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,The Review Rundown,,9/28/22 20:25,,,,,,,G2
-Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,G2 Profile Anatomy,LIVE,9/28/22 19:26,9/28/22 19:38,,1,0%,,,G2
-Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,Profile Performance & Lead Management,,9/28/22 19:26,,,,,,,G2
-Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,Review Tracking & Brand Building,,9/28/22 19:26,,,,,,,G2
-Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,The Review Rundown,LIVE,9/28/22 19:26,9/28/22 19:38,,1,0%,,,G2
-Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,G2 Profile Anatomy,,9/28/22 21:34,,,,,,,G2
-Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,Profile Performance & Lead Management,,9/28/22 21:34,,,,,,,G2
-Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,Review Tracking & Brand Building,LIVE,9/28/22 21:34,11/1/22 16:03,,1,0%,,,G2
-Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,The Review Rundown,,9/28/22 21:34,,,,,,,G2
-Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,G2 Profile Anatomy,LIVE,10/3/22 15:59,10/3/22 15:59,,1,17%,What is the Value of a G2 Profile?,10/3/22 16:14,G2
-Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,Profile Performance & Lead Management,,10/3/22 15:59,,,,,,,G2
-Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,Review Tracking & Brand Building,,10/3/22 15:59,,,,,,,G2
-Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,The Review Rundown,,10/3/22 15:59,,,,,,,G2
-Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,G2 Profile Anatomy,,3/17/22 14:39,,,,,,,G2
-Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,Profile Performance & Lead Management,3,3/17/22 14:39,3/17/22 14:43,,1,0%,,,G2
-Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,Review Tracking & Brand Building,,3/17/22 14:39,,,,,,,G2
-Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,The Review Rundown,,3/17/22 14:39,,,,,,,G2
-Josh Aldred,jaldred@osano.com,jaldred@osano.com,G2 Profile Anatomy,,9/30/22 13:21,,,,,,,G2
-Josh Aldred,jaldred@osano.com,jaldred@osano.com,Profile Performance & Lead Management,,9/30/22 13:21,,,,,,,G2
-Josh Aldred,jaldred@osano.com,jaldred@osano.com,Review Tracking & Brand Building,,9/30/22 13:21,,,,,,,G2
-Josh Aldred,jaldred@osano.com,jaldred@osano.com,The Review Rundown,,9/30/22 13:21,,,,,,,G2
-Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,G2 Profile Anatomy,,9/30/22 15:27,,,,,,,G2
-Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,How to Use Buyer Intent,LIVE,9/30/22 15:30,9/30/22 15:30,,1,0%,,,G2
-Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,Profile Performance & Lead Management,,9/30/22 15:27,,,,,,,G2
-Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,Review Tracking & Brand Building,,9/30/22 15:27,,,,,,,G2
-Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,The Review Rundown,,9/30/22 15:27,,,,,,,G2
-Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,G2 Profile Anatomy,,9/29/22 4:28,,,,,,,G2
-Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,Profile Performance & Lead Management,,9/29/22 4:28,,,,,,,G2
-Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,Review Tracking & Brand Building,,9/29/22 4:28,,,,,,,G2
-Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,The Review Rundown,,9/29/22 4:28,,,,,,,G2
-Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,G2 Profile Anatomy,LIVE,9/29/22 16:51,9/29/22 16:51,,1,0%,,,G2
-Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,Profile Performance & Lead Management,,9/29/22 16:51,,,,,,,G2
-Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,Review Tracking & Brand Building,,9/29/22 16:51,,,,,,,G2
-Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,The Review Rundown,,9/29/22 16:51,,,,,,,G2
-Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,G2 Profile Anatomy,,9/29/22 18:19,,,,,,,G2
-Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,Profile Performance & Lead Management,,9/29/22 18:19,,,,,,,G2
-Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,Review Tracking & Brand Building,,9/29/22 18:19,,,,,,,G2
-Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,The Review Rundown,,9/29/22 18:19,,,,,,,G2
-Julia Poon,j.poon@method.me,j.poon@method.me,G2 Profile Anatomy,LIVE,9/28/22 19:13,9/28/22 19:14,,1,0%,,,G2
-Julia Poon,j.poon@method.me,j.poon@method.me,Profile Performance & Lead Management,,9/28/22 19:13,,,,,,,G2
-Julia Poon,j.poon@method.me,j.poon@method.me,Review Tracking & Brand Building,,9/28/22 19:13,,,,,,,G2
-Julia Poon,j.poon@method.me,j.poon@method.me,The Review Rundown,,9/28/22 19:13,,,,,,,G2
-Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,G2 Profile Anatomy,LIVE,9/29/22 7:28,9/29/22 7:29,,1,0%,,,G2
-Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,Profile Performance & Lead Management,,9/29/22 7:28,,,,,,,G2
-Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,Review Tracking & Brand Building,,9/29/22 7:28,,,,,,,G2
-Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,The Review Rundown,,9/29/22 7:28,,,,,,,G2
-Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,G2 Profile Anatomy,LIVE,9/28/22 20:38,9/28/22 20:38,,1,0%,,,G2
-Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,Profile Performance & Lead Management,,9/28/22 20:38,,,,,,,G2
-Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,Review Tracking & Brand Building,,9/28/22 20:38,,,,,,,G2
-Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,The Review Rundown,,9/28/22 20:38,,,,,,,G2
-Justine Woo,justine@junipersquare.com,justine@junipersquare.com,G2 Profile Anatomy,,9/28/22 19:05,,,,,,,G2
-Justine Woo,justine@junipersquare.com,justine@junipersquare.com,Profile Performance & Lead Management,,9/28/22 19:05,,,,,,,G2
-Justine Woo,justine@junipersquare.com,justine@junipersquare.com,Review Tracking & Brand Building,,9/28/22 19:05,,,,,,,G2
-Justine Woo,justine@junipersquare.com,justine@junipersquare.com,The Review Rundown,,9/28/22 19:05,,,,,,,G2
-Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,G2 Profile Anatomy,,9/28/22 19:40,,,,,,,G2
-Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,Profile Performance & Lead Management,,9/28/22 19:40,,,,,,,G2
-Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,Review Tracking & Brand Building,,9/28/22 19:40,,,,,,,G2
-Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,The Review Rundown,LIVE,9/28/22 19:40,9/28/22 19:40,,1,14%,What are Reviews?,9/28/22 19:40,G2
-Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,G2 Profile Anatomy,,9/28/22 14:02,,,,,,,G2
-Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,Profile Performance & Lead Management,,9/28/22 14:02,,,,,,,G2
-Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,Review Tracking & Brand Building,,9/28/22 14:02,,,,,,,G2
-Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,The Review Rundown,,9/28/22 14:02,,,,,,,G2
-Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,Buyer Intent Basics,LIVE,9/29/22 12:09,9/29/22 12:09,,1,0%,,,G2
-Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,G2 Profile Anatomy,,9/28/22 18:14,,,,,,,G2
-Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,How to Use Buyer Intent,LIVE,10/7/22 16:16,10/7/22 16:16,,1,0%,,,G2
-Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,Profile Performance & Lead Management,,9/28/22 18:14,,,,,,,G2
-Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,Review Tracking & Brand Building,,9/28/22 18:14,,,,,,,G2
-Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,The Review Rundown,,9/28/22 18:14,,,,,,,G2
-Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,G2 Profile Anatomy,,9/29/22 5:31,,,,,,,G2
-Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,How to Respond to Reviews,LIVE,9/29/22 7:14,9/29/22 7:14,,1,0%,,,G2
-Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,Profile Performance & Lead Management,,9/29/22 5:31,,,,,,,G2
-Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,Review Tracking & Brand Building,,9/29/22 5:31,,,,,,,G2
-Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,The Review Rundown,,9/29/22 5:31,,,,,,,G2
-Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,G2 Profile Anatomy,,9/28/22 19:42,,,,,,,G2
-Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,Profile Performance & Lead Management,,9/28/22 19:42,,,,,,,G2
-Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,Review Tracking & Brand Building,,9/28/22 19:42,,,,,,,G2
-Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,The Review Rundown,,9/28/22 19:42,,,,,,,G2
-Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,G2 Profile Anatomy,,9/30/22 1:06,,,,,,,G2
-Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,Profile Performance & Lead Management,,9/30/22 1:06,,,,,,,G2
-Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,Review Tracking & Brand Building,,9/30/22 1:06,,,,,,,G2
-Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,The Review Rundown,,9/30/22 1:06,,,,,,,G2
-Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,G2 Profile Anatomy,,9/29/22 12:26,,,,,,,G2
-Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,Profile Performance & Lead Management,,9/29/22 12:26,,,,,,,G2
-Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,Review Tracking & Brand Building,,9/29/22 12:26,,,,,,,G2
-Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,The Review Rundown,,9/29/22 12:26,,,,,,,G2
-Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,G2 Profile Anatomy,,9/29/22 8:09,,,,,,,G2
-Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,Preparing for G2 Reports,LIVE,9/29/22 9:13,9/29/22 9:13,9/29/22 9:36,1,100%,Results Index Criteria,9/29/22 9:36,G2
-Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,Profile Performance & Lead Management,,9/29/22 8:09,,,,,,,G2
-Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,Review Tracking & Brand Building,LIVE,9/29/22 8:09,9/29/22 8:48,9/29/22 8:54,1,100%,Review Integrations,9/29/22 8:54,G2
-Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,The Review Rundown,LIVE,9/29/22 8:09,9/29/22 8:10,9/29/22 8:47,1,100%,Review Moderation,9/29/22 8:48,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,Buyer Intent Basics,4,9/16/22 16:14,9/16/22 16:14,,1,0%,,,G2
-Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,G2 Profile Anatomy,,9/28/22 13:56,,,,,,,G2
-Katlin Hess,hess@targetx.com,hess@targetx.com,G2 Profile Anatomy,,9/20/22 18:34,,,,,,,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,G2 Profile Anatomy,LIVE,9/16/22 1:46,9/16/22 2:18,,1,0%,,,G2
-Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,4,3/4/22 15:16,6/21/22 14:51,,1,0%,,,G2
-Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,7,3/4/22 15:16,8/22/22 18:22,,2,0%,,,G2
-Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,LIVE,3/4/22 15:16,9/22/22 18:39,,4,33%,Seller Provided Content,9/23/22 17:33,G2
-Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,9,3/4/22 15:16,8/26/22 17:02,,3,0%,,,G2
-Katlin Hess,khess@g2.com,khess@g2.com,How to Respond to Reviews,LIVE,10/31/22 15:53,10/31/22 15:53,,1,17%,Respond to Reviews: Who ,10/31/22 15:53,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,How to Respond to Reviews,3,9/16/22 16:10,9/16/22 16:10,,1,0%,,,G2
-Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,How to Use Buyer Intent,LIVE,9/28/22 17:48,9/28/22 17:48,,1,0%,,,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,How to Use Buyer Intent,6,9/18/22 19:05,9/18/22 19:05,,1,13%,Considerations,9/18/22 19:05,G2
-Katlin Hess,khess@g2.com,khess@g2.com,Preparing for G2 Reports,2,9/21/22 13:59,9/21/22 13:59,9/21/22 13:59,1,13%,Review Deadline Announcement,9/21/22 13:59,G2
-Katlin Hess,khess@g2.com,khess@g2.com,Preparing for G2 Reports,LIVE,9/21/22 13:59,9/26/22 14:27,,2,29%,Draft Release,10/31/22 19:27,G2
-Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,Profile Performance & Lead Management,,9/28/22 13:56,,,,,,,G2
-Katlin Hess,hess@targetx.com,hess@targetx.com,Profile Performance & Lead Management,,9/20/22 18:34,,,,,,,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,Profile Performance & Lead Management,LIVE,9/16/22 1:46,9/16/22 1:47,9/16/22 1:47,1,100%,Lead Webhooks,9/16/22 1:47,G2
-Katlin Hess,khess@g2.com,khess@g2.com,Profile Performance & Lead Management,LIVE,3/4/22 15:16,10/31/22 15:40,10/31/22 19:26,3,100%,Lead Webhooks,10/31/22 19:26,G2
-Katlin Hess,khess@g2.com,khess@g2.com,Profile Performance & Lead Management,8,3/4/22 15:16,9/14/22 14:12,,2,0%,,,G2
-Katlin Hess,khess@g2.com,khess@g2.com,Profile Performance & Lead Management,3,3/4/22 15:16,8/18/22 14:05,8/18/22 14:06,1,100%,What you'll need,8/18/22 14:06,G2
-Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,Review Tracking & Brand Building,,9/28/22 13:56,,,,,,,G2
-Katlin Hess,hess@targetx.com,hess@targetx.com,Review Tracking & Brand Building,,9/20/22 18:34,,,,,,,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,Review Tracking & Brand Building,9,9/16/22 1:46,9/16/22 1:47,9/16/22 1:47,1,100%,Review Integrations,9/16/22 1:47,G2
-Katlin Hess,khess@g2.com,khess@g2.com,Review Tracking & Brand Building,LIVE,3/4/22 15:16,9/21/22 13:58,10/31/22 15:40,2,100%,Review Integrations,10/31/22 15:40,G2
-Katlin Hess,khess@g2.com,khess@g2.com,Review Tracking & Brand Building,4,3/4/22 15:16,8/22/22 19:14,8/22/22 19:15,1,20%,Review Activity,8/22/22 19:15,G2
-Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,The Review Rundown,,9/28/22 13:56,,,,,,,G2
-Katlin Hess,hess@targetx.com,hess@targetx.com,The Review Rundown,,9/20/22 18:34,,,,,,,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,The Review Rundown,10,9/16/22 1:46,9/16/22 1:48,,1,43%,Intro/4 Pillars,9/16/22 1:48,G2
-Katlin Hess,khess@g2.com,khess@g2.com,The Review Rundown,4,3/4/22 15:16,8/22/22 18:25,,2,57%,Types of G2 Review Generation,8/22/22 19:14,G2
-Katlin Hess,khess@g2.com,khess@g2.com,The Review Rundown,2,3/4/22 15:16,8/18/22 14:06,,1,0%,,,G2
-Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,What is the G2 Content Subscription?,8,9/16/22 16:08,9/16/22 16:08,,1,10%,Report Data Comparison,9/16/22 16:08,G2
-Katlin Hess,khess@g2.com,khess@g2.com,What is the G2 Content Subscription?,1,8/18/22 14:07,8/18/22 14:07,8/18/22 14:08,1,100%,Infographics,8/18/22 14:08,G2
-Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,G2 Profile Anatomy,,9/28/22 16:09,,,,,,,G2
-Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,Profile Performance & Lead Management,,9/28/22 16:09,,,,,,,G2
-Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,Review Tracking & Brand Building,,9/28/22 16:09,,,,,,,G2
-Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,The Review Rundown,,9/28/22 16:09,,,,,,,G2
-Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,G2 Profile Anatomy,,9/29/22 13:48,,,,,,,G2
-Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,Profile Performance & Lead Management,,9/29/22 13:48,,,,,,,G2
-Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,Review Tracking & Brand Building,,9/29/22 13:48,,,,,,,G2
-Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,The Review Rundown,,9/29/22 13:48,,,,,,,G2
-Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,G2 Profile Anatomy,,9/29/22 19:38,,,,,,,G2
-Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,Profile Performance & Lead Management,,9/29/22 19:38,,,,,,,G2
-Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,Review Tracking & Brand Building,,9/29/22 19:38,,,,,,,G2
-Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,The Review Rundown,,9/29/22 19:38,,,,,,,G2
-Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,G2 Profile Anatomy,,9/21/22 18:30,,,,,,,G2
-Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,Profile Performance & Lead Management,,9/21/22 18:30,,,,,,,G2
-Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,Review Tracking & Brand Building,,9/21/22 18:30,,,,,,,G2
-Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,The Review Rundown,11,9/21/22 18:30,9/21/22 18:31,,1,0%,,,G2
-Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,G2 Profile Anatomy,,10/3/22 12:06,,,,,,,G2
-Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,Profile Performance & Lead Management,,10/3/22 12:06,,,,,,,G2
-Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,Review Tracking & Brand Building,,10/3/22 12:06,,,,,,,G2
-Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,The Review Rundown,,10/3/22 12:06,,,,,,,G2
-Keven Farnworth,keven@bl.ink,keven@bl.ink,G2 Profile Anatomy,LIVE,9/29/22 14:12,11/4/22 16:59,11/4/22 17:06,1,100%,Top Tips Recap,11/4/22 17:06,G2
-Keven Farnworth,keven@bl.ink,keven@bl.ink,Profile Performance & Lead Management,,9/29/22 14:12,,,,,,,G2
-Keven Farnworth,keven@bl.ink,keven@bl.ink,Review Tracking & Brand Building,,9/29/22 14:12,,,,,,,G2
-Keven Farnworth,keven@bl.ink,keven@bl.ink,The Review Rundown,,9/29/22 14:12,,,,,,,G2
-Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,G2 Profile Anatomy,9,8/18/22 13:37,8/23/22 17:49,,1,17%,What is the Value of a G2 Profile?,8/23/22 17:49,G2
-Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,Profile Performance & Lead Management,6,8/18/22 13:37,8/23/22 17:49,8/23/22 17:50,2,100%,CTA + Free Analytics,8/23/22 17:50,G2
-Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,Profile Performance & Lead Management,3,8/18/22 13:37,8/18/22 13:39,8/18/22 13:40,1,100%,Course overview,8/18/22 13:40,G2
-Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,Review Tracking & Brand Building,LIVE,8/18/22 13:37,9/19/22 14:09,,1,0%,,,G2
-Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,The Review Rundown,,8/18/22 13:37,,,,,,,G2
-Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,G2 Profile Anatomy,LIVE,9/29/22 18:26,10/5/22 20:49,,1,50%,G2 Provided Content,10/5/22 20:52,G2
-Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,Profile Performance & Lead Management,,9/29/22 18:26,,,,,,,G2
-Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,Review Tracking & Brand Building,,9/29/22 18:26,,,,,,,G2
-Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,The Review Rundown,,9/29/22 18:26,,,,,,,G2
-Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,G2 Profile Anatomy,,9/28/22 19:42,,,,,,,G2
-Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,Profile Performance & Lead Management,,9/28/22 19:42,,,,,,,G2
-Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,Review Tracking & Brand Building,,9/28/22 19:42,,,,,,,G2
-Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,The Review Rundown,,9/28/22 19:42,,,,,,,G2
-Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,G2 Profile Anatomy,,9/20/22 15:27,,,,,,,G2
-Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,Profile Performance & Lead Management,,9/20/22 15:27,,,,,,,G2
-Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,Review Tracking & Brand Building,,9/20/22 15:27,,,,,,,G2
-Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,The Review Rundown,,9/20/22 15:27,,,,,,,G2
-KP Akash,akash@helpshift.com,akash@helpshift.com,G2 Profile Anatomy,,9/29/22 6:45,,,,,,,G2
-KP Akash,akash@helpshift.com,akash@helpshift.com,Profile Performance & Lead Management,,9/29/22 6:45,,,,,,,G2
-KP Akash,akash@helpshift.com,akash@helpshift.com,Review Tracking & Brand Building,,9/29/22 6:45,,,,,,,G2
-KP Akash,akash@helpshift.com,akash@helpshift.com,The Review Rundown,,9/29/22 6:45,,,,,,,G2
-Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,G2 Profile Anatomy,,9/29/22 7:54,,,,,,,G2
-Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,Profile Performance & Lead Management,,9/29/22 7:54,,,,,,,G2
-Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,Review Tracking & Brand Building,,9/29/22 7:54,,,,,,,G2
-Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,The Review Rundown,,9/29/22 7:54,,,,,,,G2
-Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,G2 Profile Anatomy,,9/30/22 19:58,,,,,,,G2
-Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,Profile Performance & Lead Management,,9/30/22 19:58,,,,,,,G2
-Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,Review Tracking & Brand Building,,9/30/22 19:58,,,,,,,G2
-Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,The Review Rundown,,9/30/22 19:58,,,,,,,G2
-Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,G2 Profile Anatomy,,10/3/22 15:14,,,,,,,G2
-Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,Profile Performance & Lead Management,,10/3/22 15:14,,,,,,,G2
-Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,Review Tracking & Brand Building,,10/3/22 15:14,,,,,,,G2
-Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,The Review Rundown,,10/3/22 15:14,,,,,,,G2
-Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,Buyer Intent Basics,LIVE,9/29/22 7:58,9/29/22 7:58,9/29/22 8:07,1,100%,Integrations,9/29/22 8:07,G2
-Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,G2 Profile Anatomy,,9/29/22 7:58,,,,,,,G2
-Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,How to Use Buyer Intent,LIVE,9/29/22 8:08,9/29/22 8:08,9/29/22 8:53,1,100%,Buyer Intent Score Filter Recommendations,9/29/22 8:53,G2
-Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,Profile Performance & Lead Management,,9/29/22 7:58,,,,,,,G2
-Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,Review Tracking & Brand Building,,9/29/22 7:58,,,,,,,G2
-Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,The Review Rundown,,9/29/22 7:58,,,,,,,G2
-Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,G2 Profile Anatomy,,9/29/22 6:44,,,,,,,G2
-Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,Profile Performance & Lead Management,,9/29/22 6:44,,,,,,,G2
-Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,Review Tracking & Brand Building,,9/29/22 6:44,,,,,,,G2
-Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,The Review Rundown,,9/29/22 6:44,,,,,,,G2
-Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,G2 Profile Anatomy,,9/28/22 19:23,,,,,,,G2
-Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,Profile Performance & Lead Management,,9/28/22 19:23,,,,,,,G2
-Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,Review Tracking & Brand Building,,9/28/22 19:23,,,,,,,G2
-Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,The Review Rundown,,9/28/22 19:23,,,,,,,G2
-Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,G2 Profile Anatomy,,9/29/22 2:03,,,,,,,G2
-Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,Profile Performance & Lead Management,,9/29/22 2:03,,,,,,,G2
-Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,Review Tracking & Brand Building,,9/29/22 2:03,,,,,,,G2
-Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,The Review Rundown,,9/29/22 2:03,,,,,,,G2
-Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,G2 Profile Anatomy,,9/29/22 8:15,,,,,,,G2
-Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,Profile Performance & Lead Management,,9/29/22 8:15,,,,,,,G2
-Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,Review Tracking & Brand Building,,9/29/22 8:15,,,,,,,G2
-Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,The Review Rundown,,9/29/22 8:15,,,,,,,G2
-Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,G2 Profile Anatomy,,9/29/22 21:15,,,,,,,G2
-Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,Profile Performance & Lead Management,,9/29/22 21:15,,,,,,,G2
-Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,Review Tracking & Brand Building,,9/29/22 21:15,,,,,,,G2
-Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,The Review Rundown,,9/29/22 21:15,,,,,,,G2
-Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,G2 Profile Anatomy,,9/29/22 20:16,,,,,,,G2
-Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,How to Use Buyer Intent,LIVE,9/29/22 20:17,9/29/22 20:17,,1,40%,Team Goals,9/29/22 20:19,G2
-Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,Profile Performance & Lead Management,,9/29/22 20:16,,,,,,,G2
-Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,Review Tracking & Brand Building,,9/29/22 20:16,,,,,,,G2
-Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,The Review Rundown,,9/29/22 20:16,,,,,,,G2
-Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,G2 Profile Anatomy,,10/3/22 16:56,,,,,,,G2
-Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,Profile Performance & Lead Management,,10/3/22 16:56,,,,,,,G2
-Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,Review Tracking & Brand Building,,10/3/22 16:56,,,,,,,G2
-Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,The Review Rundown,,10/3/22 16:56,,,,,,,G2
-Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,G2 Profile Anatomy,,9/28/22 19:48,,,,,,,G2
-Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,Profile Performance & Lead Management,,9/28/22 19:48,,,,,,,G2
-Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,Review Tracking & Brand Building,,9/28/22 19:48,,,,,,,G2
-Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,The Review Rundown,,9/28/22 19:48,,,,,,,G2
-Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,G2 Profile Anatomy,,9/29/22 15:25,,,,,,,G2
-Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,Profile Performance & Lead Management,,9/29/22 15:25,,,,,,,G2
-Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,Review Tracking & Brand Building,,9/29/22 15:25,,,,,,,G2
-Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,The Review Rundown,,9/29/22 15:25,,,,,,,G2
-Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,G2 Profile Anatomy,LIVE,9/29/22 23:33,10/13/22 21:45,,1,0%,,,G2
-Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,Profile Performance & Lead Management,,9/29/22 23:33,,,,,,,G2
-Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,Review Tracking & Brand Building,,9/29/22 23:33,,,,,,,G2
-Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,The Review Rundown,,9/29/22 23:33,,,,,,,G2
-Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,G2 Profile Anatomy,,9/28/22 19:11,,,,,,,G2
-Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,Profile Performance & Lead Management,,9/28/22 19:11,,,,,,,G2
-Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,Review Tracking & Brand Building,,9/28/22 19:11,,,,,,,G2
-Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,The Review Rundown,,9/28/22 19:11,,,,,,,G2
-Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,G2 Profile Anatomy,,9/28/22 20:26,,,,,,,G2
-Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,Profile Performance & Lead Management,,9/28/22 20:26,,,,,,,G2
-Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,Review Tracking & Brand Building,,9/28/22 20:26,,,,,,,G2
-Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,The Review Rundown,,9/28/22 20:26,,,,,,,G2
-Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,G2 Profile Anatomy,LIVE,9/29/22 7:34,10/17/22 8:04,,1,17%,What is the Value of a G2 Profile?,10/17/22 8:05,G2
-Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,Profile Performance & Lead Management,,9/29/22 7:34,,,,,,,G2
-Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,Review Tracking & Brand Building,,9/29/22 7:34,,,,,,,G2
-Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,The Review Rundown,LIVE,9/29/22 7:34,9/29/22 7:34,9/29/22 8:00,1,100%,Review Moderation,9/29/22 8:00,G2
-Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,G2 Profile Anatomy,,9/28/22 19:23,,,,,,,G2
-Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,Profile Performance & Lead Management,,9/28/22 19:23,,,,,,,G2
-Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,Review Tracking & Brand Building,,9/28/22 19:23,,,,,,,G2
-Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,The Review Rundown,,9/28/22 19:23,,,,,,,G2
-Liam  Collins,liam@builder.ai,liam@builder.ai,G2 Profile Anatomy,,9/28/22 18:27,,,,,,,G2
-Liam  Collins,liam@builder.ai,liam@builder.ai,Profile Performance & Lead Management,,9/28/22 18:27,,,,,,,G2
-Liam  Collins,liam@builder.ai,liam@builder.ai,Review Tracking & Brand Building,,9/28/22 18:27,,,,,,,G2
-Liam  Collins,liam@builder.ai,liam@builder.ai,The Review Rundown,,9/28/22 18:27,,,,,,,G2
-Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,G2 Profile Anatomy,LIVE,9/30/22 17:58,9/30/22 17:59,,1,0%,,,G2
-Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,Profile Performance & Lead Management,,9/30/22 17:58,,,,,,,G2
-Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,Review Tracking & Brand Building,LIVE,9/30/22 17:58,10/10/22 16:29,10/10/22 16:38,1,100%,Review Integrations,10/10/22 16:38,G2
-Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,The Review Rundown,,9/30/22 17:58,,,,,,,G2
-Linda Zillen,linda@dbvis.com,linda@dbvis.com,G2 Profile Anatomy,,9/29/22 12:58,,,,,,,G2
-Linda Zillen,linda@dbvis.com,linda@dbvis.com,Profile Performance & Lead Management,,9/29/22 12:58,,,,,,,G2
-Linda Zillen,linda@dbvis.com,linda@dbvis.com,Review Tracking & Brand Building,,9/29/22 12:58,,,,,,,G2
-Linda Zillen,linda@dbvis.com,linda@dbvis.com,The Review Rundown,,9/29/22 12:58,,,,,,,G2
-Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,G2 Profile Anatomy,LIVE,9/29/22 15:39,9/29/22 18:49,,1,0%,,,G2
-Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,Profile Performance & Lead Management,,9/29/22 15:39,,,,,,,G2
-Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,Review Tracking & Brand Building,,9/29/22 15:39,,,,,,,G2
-Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,The Review Rundown,,9/29/22 15:39,,,,,,,G2
-Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,G2 Profile Anatomy,,9/28/22 19:47,,,,,,,G2
-Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,Profile Performance & Lead Management,,9/28/22 19:47,,,,,,,G2
-Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,Review Tracking & Brand Building,,9/28/22 19:47,,,,,,,G2
-Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,The Review Rundown,,9/28/22 19:47,,,,,,,G2
-Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,Buyer Intent Basics,LIVE,9/30/22 4:05,9/30/22 4:05,,1,17%,What is Buyer Intent and why is it beneficial?,9/30/22 17:16,G2
-Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,G2 Profile Anatomy,,9/29/22 19:27,,,,,,,G2
-Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,How to Use Buyer Intent,LIVE,10/13/22 14:30,10/13/22 14:30,,1,53%,Increase Marketing Spend Efficiency,10/13/22 14:50,G2
-Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,Profile Performance & Lead Management,,9/29/22 19:27,,,,,,,G2
-Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,Review Tracking & Brand Building,,9/29/22 19:27,,,,,,,G2
-Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,The Review Rundown,,9/29/22 19:27,,,,,,,G2
-Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,G2 Profile Anatomy,LIVE,9/28/22 19:36,10/4/22 20:57,,1,0%,,,G2
-Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,Profile Performance & Lead Management,,9/28/22 19:36,,,,,,,G2
-Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,Review Tracking & Brand Building,,9/28/22 19:36,,,,,,,G2
-Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,The Review Rundown,LIVE,9/28/22 19:36,10/4/22 20:57,,1,86%,Review Submission,10/4/22 20:58,G2
-LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,G2 Profile Anatomy,,9/30/22 8:18,,,,,,,G2
-LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,Profile Performance & Lead Management,,9/30/22 8:18,,,,,,,G2
-LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,Review Tracking & Brand Building,,9/30/22 8:18,,,,,,,G2
-LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,The Review Rundown,,9/30/22 8:18,,,,,,,G2
-Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,G2 Profile Anatomy,,10/3/22 10:47,,,,,,,G2
-Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,Preparing for G2 Reports,LIVE,10/10/22 14:58,10/10/22 14:58,10/10/22 15:04,1,100%,Results Index Criteria,10/10/22 15:04,G2
-Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,Profile Performance & Lead Management,,10/3/22 10:47,,,,,,,G2
-Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,Review Tracking & Brand Building,,10/3/22 10:47,,,,,,,G2
-Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,The Review Rundown,LIVE,10/3/22 10:47,10/3/22 10:47,10/6/22 14:48,1,100%,Review Moderation,10/6/22 14:48,G2
-Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,G2 Profile Anatomy,,9/29/22 10:51,,,,,,,G2
-Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,How to Use Buyer Intent,LIVE,9/29/22 11:50,9/29/22 11:50,,1,0%,,,G2
-Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,Profile Performance & Lead Management,,9/29/22 10:51,,,,,,,G2
-Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,Review Tracking & Brand Building,LIVE,9/29/22 10:51,9/29/22 11:55,,1,0%,,,G2
-Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,The Review Rundown,,9/29/22 10:51,,,,,,,G2
-Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,G2 Profile Anatomy,,9/29/22 10:29,,,,,,,G2
-Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,Profile Performance & Lead Management,,9/29/22 10:29,,,,,,,G2
-Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,Review Tracking & Brand Building,,9/29/22 10:29,,,,,,,G2
-Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,The Review Rundown,,9/29/22 10:29,,,,,,,G2
-Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,G2 Profile Anatomy,,9/28/22 20:38,,,,,,,G2
-Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,Profile Performance & Lead Management,,9/28/22 20:38,,,,,,,G2
-Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,Review Tracking & Brand Building,,9/28/22 20:38,,,,,,,G2
-Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,The Review Rundown,,9/28/22 20:38,,,,,,,G2
-Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,G2 Profile Anatomy,,9/29/22 19:14,,,,,,,G2
-Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,Profile Performance & Lead Management,,9/29/22 19:14,,,,,,,G2
-Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,Review Tracking & Brand Building,,9/29/22 19:14,,,,,,,G2
-Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,The Review Rundown,,9/29/22 19:14,,,,,,,G2
-Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,G2 Profile Anatomy,,9/28/22 22:02,,,,,,,G2
-Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,Profile Performance & Lead Management,,9/28/22 22:02,,,,,,,G2
-Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,Review Tracking & Brand Building,,9/28/22 22:02,,,,,,,G2
-Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,The Review Rundown,,9/28/22 22:02,,,,,,,G2
-Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,G2 Profile Anatomy,,9/29/22 14:11,,,,,,,G2
-Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,Profile Performance & Lead Management,,9/29/22 14:11,,,,,,,G2
-Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,Review Tracking & Brand Building,,9/29/22 14:11,,,,,,,G2
-Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,The Review Rundown,,9/29/22 14:11,,,,,,,G2
-Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,G2 Profile Anatomy,,9/29/22 4:53,,,,,,,G2
-Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,Profile Performance & Lead Management,,9/29/22 4:53,,,,,,,G2
-Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,Review Tracking & Brand Building,,9/29/22 4:53,,,,,,,G2
-Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,The Review Rundown,,9/29/22 4:53,,,,,,,G2
-Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,G2 Profile Anatomy,LIVE,9/28/22 15:55,10/27/22 18:53,10/27/22 19:08,1,100%,Top Tips Recap,10/27/22 19:08,G2
-Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,Profile Performance & Lead Management,,9/28/22 15:55,,,,,,,G2
-Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,Review Tracking & Brand Building,LIVE,9/28/22 15:55,10/28/22 13:00,10/28/22 16:22,1,100%,Marketing Content: G2 Badges,10/28/22 16:22,G2
-Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,The Review Rundown,,9/28/22 15:55,,,,,,,G2
-Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,G2 Profile Anatomy,,9/29/22 8:07,,,,,,,G2
-Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,Profile Performance & Lead Management,,9/29/22 8:07,,,,,,,G2
-Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,Review Tracking & Brand Building,,9/29/22 8:07,,,,,,,G2
-Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,The Review Rundown,,9/29/22 8:07,,,,,,,G2
-Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,G2 Profile Anatomy,,9/29/22 8:05,,,,,,,G2
-Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,Profile Performance & Lead Management,,9/29/22 8:05,,,,,,,G2
-Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,Review Tracking & Brand Building,,9/29/22 8:05,,,,,,,G2
-Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,The Review Rundown,,9/29/22 8:05,,,,,,,G2
-Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,G2 Profile Anatomy,LIVE,9/29/22 8:23,10/6/22 10:02,10/6/22 10:47,1,100%,Top Tips Recap,10/6/22 10:47,G2
-Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,How to Respond to Reviews,LIVE,10/6/22 10:51,10/6/22 10:51,10/6/22 11:07,1,100%,Unactionable Negative Reviews,10/6/22 11:07,G2
-Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,Profile Performance & Lead Management,LIVE,9/29/22 8:23,10/6/22 10:48,,1,0%,,,G2
-Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,Review Tracking & Brand Building,,9/29/22 8:23,,,,,,,G2
-Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,The Review Rundown,,9/29/22 8:23,,,,,,,G2
-Marina  Marochko,marina@precoro.com,marina@precoro.com,G2 Profile Anatomy,,9/29/22 8:53,,,,,,,G2
-Marina  Marochko,marina@precoro.com,marina@precoro.com,Profile Performance & Lead Management,,9/29/22 8:53,,,,,,,G2
-Marina  Marochko,marina@precoro.com,marina@precoro.com,Review Tracking & Brand Building,,9/29/22 8:53,,,,,,,G2
-Marina  Marochko,marina@precoro.com,marina@precoro.com,The Review Rundown,,9/29/22 8:53,,,,,,,G2
-Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,G2 Profile Anatomy,,9/28/22 19:05,,,,,,,G2
-Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,Profile Performance & Lead Management,,9/28/22 19:05,,,,,,,G2
-Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,Review Tracking & Brand Building,,9/28/22 19:05,,,,,,,G2
-Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,The Review Rundown,,9/28/22 19:05,,,,,,,G2
-Marketing  Team,marketing@trica.co,marketing@trica.co,G2 Profile Anatomy,,9/29/22 3:44,,,,,,,G2
-Marketing  Team,marketing@trica.co,marketing@trica.co,Profile Performance & Lead Management,,9/29/22 3:44,,,,,,,G2
-Marketing  Team,marketing@trica.co,marketing@trica.co,Review Tracking & Brand Building,,9/29/22 3:44,,,,,,,G2
-Marketing  Team,marketing@trica.co,marketing@trica.co,The Review Rundown,,9/29/22 3:44,,,,,,,G2
-Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,G2 Profile Anatomy,,9/28/22 16:31,,,,,,,G2
-Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,How to Use Buyer Intent,LIVE,10/7/22 17:44,10/7/22 17:44,,1,7%,Plan Building,10/7/22 17:45,G2
-Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,Profile Performance & Lead Management,,9/28/22 16:31,,,,,,,G2
-Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,Review Tracking & Brand Building,,9/28/22 16:31,,,,,,,G2
-Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,The Review Rundown,,9/28/22 16:31,,,,,,,G2
-Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,G2 Profile Anatomy,,9/30/22 23:04,,,,,,,G2
-Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,Profile Performance & Lead Management,,9/30/22 23:04,,,,,,,G2
-Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,Review Tracking & Brand Building,,9/30/22 23:04,,,,,,,G2
-Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,The Review Rundown,,9/30/22 23:04,,,,,,,G2
-Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,G2 Profile Anatomy,,9/20/22 15:11,,,,,,,G2
-Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,How to Use Buyer Intent,LIVE,11/2/22 17:31,11/2/22 17:31,,1,13%,Considerations,11/2/22 17:32,G2
-Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,Profile Performance & Lead Management,,9/20/22 15:11,,,,,,,G2
-Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,Review Tracking & Brand Building,,9/20/22 15:11,,,,,,,G2
-Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,The Review Rundown,LIVE,9/20/22 15:11,10/25/22 18:37,,1,0%,,,G2
-Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,G2 Profile Anatomy,,9/28/22 20:17,,,,,,,G2
-Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,Profile Performance & Lead Management,,9/28/22 20:17,,,,,,,G2
-Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,Review Tracking & Brand Building,,9/28/22 20:17,,,,,,,G2
-Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,The Review Rundown,,9/28/22 20:17,,,,,,,G2
-Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,G2 Profile Anatomy,,9/20/22 15:17,,,,,,,G2
-Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,Profile Performance & Lead Management,,9/20/22 15:17,,,,,,,G2
-Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,Review Tracking & Brand Building,,9/20/22 15:17,,,,,,,G2
-Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,The Review Rundown,,9/20/22 15:17,,,,,,,G2
-Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,G2 Profile Anatomy,,9/28/22 15:54,,,,,,,G2
-Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,Profile Performance & Lead Management,,9/28/22 15:54,,,,,,,G2
-Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,Review Tracking & Brand Building,,9/28/22 15:54,,,,,,,G2
-Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,The Review Rundown,,9/28/22 15:54,,,,,,,G2
-Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,G2 Profile Anatomy,LIVE,9/28/22 18:07,9/28/22 18:08,,1,0%,,,G2
-Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,Profile Performance & Lead Management,,9/28/22 18:07,,,,,,,G2
-Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,Review Tracking & Brand Building,,9/28/22 18:07,,,,,,,G2
-Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,The Review Rundown,11,9/28/22 18:07,9/28/22 18:09,,1,0%,,,G2
-Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,G2 Profile Anatomy,,9/29/22 8:05,,,,,,,G2
-Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,Profile Performance & Lead Management,,9/29/22 8:05,,,,,,,G2
-Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,Review Tracking & Brand Building,,9/29/22 8:05,,,,,,,G2
-Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,The Review Rundown,,9/29/22 8:05,,,,,,,G2
-Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,G2 Profile Anatomy,,9/28/22 19:57,,,,,,,G2
-Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,Profile Performance & Lead Management,LIVE,9/28/22 19:57,9/28/22 19:57,,1,0%,,,G2
-Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,Review Tracking & Brand Building,,9/28/22 19:57,,,,,,,G2
-Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,The Review Rundown,,9/28/22 19:57,,,,,,,G2
-Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,G2 Profile Anatomy,LIVE,9/29/22 18:18,9/29/22 18:18,9/29/22 19:58,1,100%,Top Tips Recap,9/29/22 19:58,G2
-Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,Profile Performance & Lead Management,,9/29/22 18:18,,,,,,,G2
-Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,Review Tracking & Brand Building,,9/29/22 18:18,,,,,,,G2
-Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,The Review Rundown,,9/29/22 18:18,,,,,,,G2
-Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,G2 Profile Anatomy,,9/29/22 8:28,,,,,,,G2
-Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,Profile Performance & Lead Management,,9/29/22 8:28,,,,,,,G2
-Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,Review Tracking & Brand Building,,9/29/22 8:28,,,,,,,G2
-Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,The Review Rundown,,9/29/22 8:28,,,,,,,G2
-Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,G2 Profile Anatomy,,9/28/22 22:43,,,,,,,G2
-Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,Profile Performance & Lead Management,,9/28/22 22:43,,,,,,,G2
-Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,Review Tracking & Brand Building,,9/28/22 22:43,,,,,,,G2
-Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,The Review Rundown,,9/28/22 22:43,,,,,,,G2
-Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,G2 Profile Anatomy,,9/29/22 17:18,,,,,,,G2
-Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,Profile Performance & Lead Management,,9/29/22 17:18,,,,,,,G2
-Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,Review Tracking & Brand Building,,9/29/22 17:18,,,,,,,G2
-Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,The Review Rundown,,9/29/22 17:18,,,,,,,G2
-Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,G2 Profile Anatomy,,9/28/22 19:20,,,,,,,G2
-Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,Profile Performance & Lead Management,,9/28/22 19:20,,,,,,,G2
-Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,Review Tracking & Brand Building,,9/28/22 19:20,,,,,,,G2
-Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,The Review Rundown,LIVE,9/28/22 19:20,9/28/22 19:20,,1,0%,,,G2
-Michael Lydon,mlydon@g2.com,mlydon@g2.com,G2 Profile Anatomy,LIVE,9/28/22 15:15,9/28/22 15:15,,1,0%,,,G2
-Michael Lydon,mlydon@g2.com,mlydon@g2.com,Profile Performance & Lead Management,,9/28/22 15:15,,,,,,,G2
-Michael Lydon,mlydon@g2.com,mlydon@g2.com,Review Tracking & Brand Building,,9/28/22 15:15,,,,,,,G2
-Michael Lydon,mlydon@g2.com,mlydon@g2.com,The Review Rundown,,9/28/22 15:15,,,,,,,G2
-Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,G2 Profile Anatomy,,9/28/22 14:50,,,,,,,G2
-Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,Profile Performance & Lead Management,,9/28/22 14:50,,,,,,,G2
-Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,Review Tracking & Brand Building,,9/28/22 14:50,,,,,,,G2
-Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,The Review Rundown,,9/28/22 14:50,,,,,,,G2
-Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,G2 Profile Anatomy,LIVE,7/27/22 14:15,9/23/22 13:27,,1,0%,,,G2
-Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,Profile Performance & Lead Management,LIVE,7/27/22 14:15,9/16/22 17:55,,1,0%,,,G2
-Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,Review Tracking & Brand Building,,7/27/22 14:15,,,,,,,G2
-Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,The Review Rundown,11,7/27/22 14:15,9/22/22 19:42,,1,0%,,,G2
-Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,G2 Profile Anatomy,9,3/4/22 15:16,8/29/22 21:33,,2,0%,,,G2
-Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,G2 Profile Anatomy,6,3/4/22 15:16,8/19/22 18:08,,1,0%,,,G2
-Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,Profile Performance & Lead Management,,3/4/22 15:16,,,,,,,G2
-Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,Review Tracking & Brand Building,,3/4/22 15:16,,,,,,,G2
-Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,The Review Rundown,,3/4/22 15:16,,,,,,,G2
-Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,What is the G2 Content Subscription?,3,8/29/22 21:29,8/29/22 21:29,,1,0%,,,G2
-Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,G2 Profile Anatomy,,9/29/22 8:50,,,,,,,G2
-Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,Profile Performance & Lead Management,,9/29/22 8:50,,,,,,,G2
-Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,Review Tracking & Brand Building,,9/29/22 8:50,,,,,,,G2
-Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,The Review Rundown,LIVE,9/29/22 8:50,10/20/22 10:05,,1,71%,Additional Review Generation Strategies,10/20/22 12:42,G2
-Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,G2 Profile Anatomy,,9/19/22 19:15,,,,,,,G2
-Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,Profile Performance & Lead Management,,9/19/22 19:15,,,,,,,G2
-Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,Review Tracking & Brand Building,,9/19/22 19:15,,,,,,,G2
-Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,The Review Rundown,11,9/19/22 19:15,9/19/22 19:16,,1,14%,Intro/4 Pillars,9/19/22 19:16,G2
-Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,G2 Profile Anatomy,LIVE,9/29/22 8:47,9/29/22 8:50,,1,17%,What is the Value of a G2 Profile?,9/29/22 8:51,G2
-Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,Profile Performance & Lead Management,,9/29/22 8:47,,,,,,,G2
-Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,Review Tracking & Brand Building,,9/29/22 8:47,,,,,,,G2
-Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,The Review Rundown,,9/29/22 8:47,,,,,,,G2
-Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,G2 Profile Anatomy,,9/28/22 19:47,,,,,,,G2
-Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,Profile Performance & Lead Management,,9/28/22 19:47,,,,,,,G2
-Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,Review Tracking & Brand Building,,9/28/22 19:47,,,,,,,G2
-Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,The Review Rundown,,9/28/22 19:47,,,,,,,G2
-Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,G2 Profile Anatomy,,9/28/22 19:09,,,,,,,G2
-Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,Profile Performance & Lead Management,,9/28/22 19:09,,,,,,,G2
-Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,Review Tracking & Brand Building,,9/28/22 19:09,,,,,,,G2
-Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,The Review Rundown,,9/28/22 19:09,,,,,,,G2
-Mike Cline,mcline@processbolt.com,mcline@processbolt.com,G2 Profile Anatomy,,9/28/22 19:27,,,,,,,G2
-Mike Cline,mcline@processbolt.com,mcline@processbolt.com,Profile Performance & Lead Management,,9/28/22 19:27,,,,,,,G2
-Mike Cline,mcline@processbolt.com,mcline@processbolt.com,Review Tracking & Brand Building,,9/28/22 19:27,,,,,,,G2
-Mike Cline,mcline@processbolt.com,mcline@processbolt.com,The Review Rundown,,9/28/22 19:27,,,,,,,G2
-Mike Learner,learner@labware.com,learner@labware.com,G2 Profile Anatomy,,9/28/22 21:00,,,,,,,G2
-Mike Learner,learner@labware.com,learner@labware.com,Profile Performance & Lead Management,,9/28/22 21:00,,,,,,,G2
-Mike Learner,learner@labware.com,learner@labware.com,Review Tracking & Brand Building,,9/28/22 21:00,,,,,,,G2
-Mike Learner,learner@labware.com,learner@labware.com,The Review Rundown,LIVE,9/28/22 21:00,9/28/22 21:00,,1,0%,,,G2
-Mike Sabin,msabin@g2.com,msabin@g2.com,G2 Profile Anatomy,LIVE,9/28/22 19:05,9/28/22 19:05,,1,0%,,,G2
-Mike Sabin,msabin@g2.com,msabin@g2.com,Profile Performance & Lead Management,,9/28/22 19:05,,,,,,,G2
-Mike Sabin,msabin@g2.com,msabin@g2.com,Review Tracking & Brand Building,,9/28/22 19:05,,,,,,,G2
-Mike Sabin,msabin@g2.com,msabin@g2.com,The Review Rundown,,9/28/22 19:05,,,,,,,G2
-Mila Savina,mila@precoro.com,mila@precoro.com,G2 Profile Anatomy,LIVE,9/29/22 8:10,9/29/22 9:45,,1,0%,,,G2
-Mila Savina,mila@precoro.com,mila@precoro.com,Profile Performance & Lead Management,,9/29/22 8:10,,,,,,,G2
-Mila Savina,mila@precoro.com,mila@precoro.com,Review Tracking & Brand Building,,9/29/22 8:10,,,,,,,G2
-Mila Savina,mila@precoro.com,mila@precoro.com,The Review Rundown,,9/29/22 8:10,,,,,,,G2
-Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,G2 Profile Anatomy,,9/29/22 22:15,,,,,,,G2
-Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,Profile Performance & Lead Management,,9/29/22 22:15,,,,,,,G2
-Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,Review Tracking & Brand Building,,9/29/22 22:15,,,,,,,G2
-Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,The Review Rundown,,9/29/22 22:15,,,,,,,G2
-Missy  Stockton,missy@gettactic.com,missy@gettactic.com,G2 Profile Anatomy,,9/28/22 22:11,,,,,,,G2
-Missy  Stockton,missy@gettactic.com,missy@gettactic.com,Profile Performance & Lead Management,,9/28/22 22:11,,,,,,,G2
-Missy  Stockton,missy@gettactic.com,missy@gettactic.com,Review Tracking & Brand Building,,9/28/22 22:11,,,,,,,G2
-Missy  Stockton,missy@gettactic.com,missy@gettactic.com,The Review Rundown,,9/28/22 22:11,,,,,,,G2
-Mohd Saif,msaif@g2.com,msaif@g2.com,G2 Profile Anatomy,,9/29/22 6:03,,,,,,,G2
-Mohd Saif,msaif@g2.com,msaif@g2.com,Profile Performance & Lead Management,,9/29/22 6:03,,,,,,,G2
-Mohd Saif,msaif@g2.com,msaif@g2.com,Review Tracking & Brand Building,,9/29/22 6:03,,,,,,,G2
-Mohd Saif,msaif@g2.com,msaif@g2.com,The Review Rundown,,9/29/22 6:03,,,,,,,G2
-Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,G2 Profile Anatomy,LIVE,9/29/22 10:09,9/29/22 10:09,9/29/22 10:41,1,100%,Top Tips Recap,9/29/22 10:41,G2
-Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,Profile Performance & Lead Management,,9/29/22 10:09,,,,,,,G2
-Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,Review Tracking & Brand Building,,9/29/22 10:09,,,,,,,G2
-Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,The Review Rundown,,9/29/22 10:09,,,,,,,G2
-Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,G2 Profile Anatomy,LIVE,9/28/22 20:28,9/28/22 20:29,,1,0%,,,G2
-Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,Profile Performance & Lead Management,,9/28/22 20:28,,,,,,,G2
-Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,Review Tracking & Brand Building,,9/28/22 20:28,,,,,,,G2
-Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,The Review Rundown,,9/28/22 20:28,,,,,,,G2
-nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,G2 Profile Anatomy,,9/28/22 19:05,,,,,,,G2
-nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,Profile Performance & Lead Management,,9/28/22 19:05,,,,,,,G2
-nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,Review Tracking & Brand Building,,9/28/22 19:05,,,,,,,G2
-nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,The Review Rundown,,9/28/22 19:05,,,,,,,G2
-Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,G2 Profile Anatomy,LIVE,9/29/22 7:46,9/29/22 7:46,,1,0%,,,G2
-Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,Profile Performance & Lead Management,,9/29/22 7:46,,,,,,,G2
-Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,Review Tracking & Brand Building,,9/29/22 7:46,,,,,,,G2
-Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,The Review Rundown,,9/29/22 7:46,,,,,,,G2
-Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,Buyer Intent Basics,LIVE,9/29/22 7:11,9/29/22 7:11,,1,0%,,,G2
-Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,G2 Profile Anatomy,,9/29/22 7:11,,,,,,,G2
-Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,Profile Performance & Lead Management,,9/29/22 7:11,,,,,,,G2
-Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,Review Tracking & Brand Building,,9/29/22 7:11,,,,,,,G2
-Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,The Review Rundown,,9/29/22 7:11,,,,,,,G2
-Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,G2 Profile Anatomy,,9/28/22 20:23,,,,,,,G2
-Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,Profile Performance & Lead Management,,9/28/22 20:23,,,,,,,G2
-Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,Review Tracking & Brand Building,,9/28/22 20:23,,,,,,,G2
-Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,The Review Rundown,,9/28/22 20:23,,,,,,,G2
-Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,G2 Profile Anatomy,,9/29/22 8:05,,,,,,,G2
-Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,Profile Performance & Lead Management,,9/29/22 8:05,,,,,,,G2
-Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,Review Tracking & Brand Building,,9/29/22 8:05,,,,,,,G2
-Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,The Review Rundown,,9/29/22 8:05,,,,,,,G2
-Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,G2 Profile Anatomy,,9/28/22 13:41,,,,,,,G2
-Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,Profile Performance & Lead Management,,9/28/22 13:41,,,,,,,G2
-Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,Review Tracking & Brand Building,LIVE,9/28/22 13:41,9/28/22 14:17,,1,0%,,,G2
-Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,The Review Rundown,,9/28/22 13:41,,,,,,,G2
-Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,G2 Profile Anatomy,,9/30/22 8:36,,,,,,,G2
-Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,Profile Performance & Lead Management,,9/30/22 8:36,,,,,,,G2
-Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,Review Tracking & Brand Building,,9/30/22 8:36,,,,,,,G2
-Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,The Review Rundown,,9/30/22 8:36,,,,,,,G2
-Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,G2 Profile Anatomy,,9/28/22 18:23,,,,,,,G2
-Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,Profile Performance & Lead Management,,9/28/22 18:23,,,,,,,G2
-Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,Review Tracking & Brand Building,,9/28/22 18:23,,,,,,,G2
-Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,The Review Rundown,,9/28/22 18:23,,,,,,,G2
-Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,G2 Profile Anatomy,,9/29/22 6:29,,,,,,,G2
-Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,Profile Performance & Lead Management,,9/29/22 6:29,,,,,,,G2
-Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,Review Tracking & Brand Building,,9/29/22 6:29,,,,,,,G2
-Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,The Review Rundown,,9/29/22 6:29,,,,,,,G2
-Nina Terregino,nina@goco.io,nina@goco.io,G2 Profile Anatomy,LIVE,9/28/22 20:06,9/28/22 20:06,,1,0%,,,G2
-Nina Terregino,nina@goco.io,nina@goco.io,Profile Performance & Lead Management,,9/28/22 20:06,,,,,,,G2
-Nina Terregino,nina@goco.io,nina@goco.io,Review Tracking & Brand Building,,9/28/22 20:06,,,,,,,G2
-Nina Terregino,nina@goco.io,nina@goco.io,The Review Rundown,,9/28/22 20:06,,,,,,,G2
-Nir Geninson,nir@reblaze.com,nir@reblaze.com,G2 Profile Anatomy,,9/29/22 7:09,,,,,,,G2
-Nir Geninson,nir@reblaze.com,nir@reblaze.com,Profile Performance & Lead Management,,9/29/22 7:09,,,,,,,G2
-Nir Geninson,nir@reblaze.com,nir@reblaze.com,Review Tracking & Brand Building,,9/29/22 7:09,,,,,,,G2
-Nir Geninson,nir@reblaze.com,nir@reblaze.com,The Review Rundown,,9/29/22 7:09,,,,,,,G2
-Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,G2 Profile Anatomy,,9/30/22 7:27,,,,,,,G2
-Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,Profile Performance & Lead Management,,9/30/22 7:27,,,,,,,G2
-Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,Review Tracking & Brand Building,,9/30/22 7:27,,,,,,,G2
-Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,The Review Rundown,,9/30/22 7:27,,,,,,,G2
-Norm Test Testing Norm,norm+g2test@northpass.com,norm+g2test@northpass.com,G2 Profile Anatomy,14,8/12/22 18:41,9/12/22 17:21,,3,0%,,,G2
-Norm Test Testing Norm,norm+g2test@northpass.com,norm+g2test@northpass.com,G2 Profile Anatomy,9,8/12/22 18:41,9/12/22 17:13,9/12/22 17:13,1,33%,Seller Provided Content,9/12/22 17:13,G2
-Norm Test Testing Norm,norm+g2test@northpass.com,norm+g2test@northpass.com,G2 Profile Anatomy,10,8/12/22 18:41,9/12/22 17:15,9/12/22 17:19,2,100%,Top Tips Recap,9/12/22 17:19,G2
-Norm Test Testing Norm,norm+g2test@northpass.com,norm+g2test@northpass.com,G2 Profile Anatomy,16,8/12/22 18:41,9/12/22 17:24,,4,17%,Top Tips Recap,9/12/22 17:25,G2
-Norm Test Testing Norm,norm+g2test@northpass.com,norm+g2test@northpass.com,Profile Performance & Lead Management,,8/12/22 18:41,,,,,,,G2
-Norm Test Testing Norm,norm+g2test@northpass.com,norm+g2test@northpass.com,Review Tracking & Brand Building,,8/12/22 18:41,,,,,,,G2
-Norm Test Testing Norm,norm+g2test@northpass.com,norm+g2test@northpass.com,The Review Rundown,,8/12/22 18:41,,,,,,,G2
-Northpass Tester,northpass_test@test.com,northpass_test@test.com,G2 Profile Anatomy,4,3/24/22 19:42,3/28/22 17:45,,1,0%,,,G2
-Northpass Tester,northpass_test@test.com,northpass_test@test.com,Profile Performance & Lead Management,,3/24/22 19:42,,,,,,,G2
-Northpass Tester,northpass_test@test.com,northpass_test@test.com,Review Tracking & Brand Building,,3/24/22 19:42,,,,,,,G2
-Northpass Tester,northpass_test@test.com,northpass_test@test.com,The Review Rundown,,3/24/22 19:42,,,,,,,G2
-Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,G2 Profile Anatomy,,9/29/22 12:38,,,,,,,G2
-Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,Profile Performance & Lead Management,LIVE,9/29/22 12:38,9/29/22 12:39,,1,0%,,,G2
-Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,Review Tracking & Brand Building,,9/29/22 12:38,,,,,,,G2
-Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,The Review Rundown,,9/29/22 12:38,,,,,,,G2
-Olivia Hyman,ohyman@g2.com,ohyman@g2.com,G2 Profile Anatomy,LIVE,9/26/22 20:48,10/17/22 15:14,,1,0%,,,G2
-Olivia Hyman,ohyman@g2.com,ohyman@g2.com,Profile Performance & Lead Management,,9/26/22 20:48,,,,,,,G2
-Olivia Hyman,ohyman@g2.com,ohyman@g2.com,Review Tracking & Brand Building,,9/26/22 20:48,,,,,,,G2
-Olivia Hyman,ohyman@g2.com,ohyman@g2.com,The Review Rundown,,9/26/22 20:48,,,,,,,G2
-Olivia Klank,oklank@g2.com,oklank@g2.com,G2 Profile Anatomy,LIVE,9/28/22 19:38,9/28/22 19:39,,1,0%,,,G2
-Olivia Klank,oklank@g2.com,oklank@g2.com,Profile Performance & Lead Management,,9/28/22 19:38,,,,,,,G2
-Olivia Klank,oklank@g2.com,oklank@g2.com,Review Tracking & Brand Building,,9/28/22 19:38,,,,,,,G2
-Olivia Klank,oklank@g2.com,oklank@g2.com,The Review Rundown,,9/28/22 19:38,,,,,,,G2
-Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,G2 Profile Anatomy,,9/28/22 15:19,,,,,,,G2
-Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,Profile Performance & Lead Management,,9/28/22 15:19,,,,,,,G2
-Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,Review Tracking & Brand Building,,9/28/22 15:19,,,,,,,G2
-Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,The Review Rundown,,9/28/22 15:19,,,,,,,G2
-Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,G2 Profile Anatomy,,9/28/22 16:34,,,,,,,G2
-Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,Profile Performance & Lead Management,LIVE,9/28/22 16:34,9/28/22 16:34,,1,0%,,,G2
-Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,Review Tracking & Brand Building,,9/28/22 16:34,,,,,,,G2
-Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,The Review Rundown,LIVE,9/28/22 16:34,9/28/22 20:41,,1,0%,,,G2
-Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,G2 Profile Anatomy,,9/28/22 23:19,,,,,,,G2
-Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,Profile Performance & Lead Management,,9/28/22 23:19,,,,,,,G2
-Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,Review Tracking & Brand Building,,9/28/22 23:19,,,,,,,G2
-Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,The Review Rundown,,9/28/22 23:19,,,,,,,G2
-Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,G2 Profile Anatomy,,9/29/22 9:54,,,,,,,G2
-Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,Profile Performance & Lead Management,,9/29/22 9:54,,,,,,,G2
-Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,Review Tracking & Brand Building,,9/29/22 9:54,,,,,,,G2
-Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,The Review Rundown,,9/29/22 9:54,,,,,,,G2
-Park Groves,park@tremendous.com,park@tremendous.com,G2 Profile Anatomy,,9/28/22 19:26,,,,,,,G2
-Park Groves,park@tremendous.com,park@tremendous.com,Profile Performance & Lead Management,,9/28/22 19:26,,,,,,,G2
-Park Groves,park@tremendous.com,park@tremendous.com,Review Tracking & Brand Building,,9/28/22 19:26,,,,,,,G2
-Park Groves,park@tremendous.com,park@tremendous.com,The Review Rundown,,9/28/22 19:26,,,,,,,G2
-Patty Montenegro,patty@vanta.com,patty@vanta.com,G2 Profile Anatomy,,9/28/22 20:17,,,,,,,G2
-Patty Montenegro,patty@vanta.com,patty@vanta.com,Profile Performance & Lead Management,,9/28/22 20:17,,,,,,,G2
-Patty Montenegro,patty@vanta.com,patty@vanta.com,Review Tracking & Brand Building,,9/28/22 20:17,,,,,,,G2
-Patty Montenegro,patty@vanta.com,patty@vanta.com,The Review Rundown,,9/28/22 20:17,,,,,,,G2
-Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,G2 Profile Anatomy,4,8/19/22 15:29,8/19/22 16:08,,1,0%,,,G2
-Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,Profile Performance & Lead Management,5,8/19/22 15:29,8/19/22 16:10,,1,0%,,,G2
-Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,Review Tracking & Brand Building,3,8/19/22 15:29,8/19/22 16:10,,1,0%,,,G2
-Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,The Review Rundown,2,8/19/22 15:29,8/19/22 16:10,,1,0%,,,G2
-Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,G2 Profile Anatomy,,10/3/22 9:55,,,,,,,G2
-Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,Profile Performance & Lead Management,,10/3/22 9:55,,,,,,,G2
-Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,Review Tracking & Brand Building,,10/3/22 9:55,,,,,,,G2
-Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,The Review Rundown,,10/3/22 9:55,,,,,,,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Buyer Intent Basics,5,9/28/22 19:27,9/28/22 19:27,9/28/22 19:37,1,100%,Integrations,9/28/22 19:37,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Buyer Intent Basics,LIVE,9/28/22 19:27,9/28/22 23:31,,2,0%,,9/28/22 23:31,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,G2 Profile Anatomy,,9/28/22 19:11,,,,,,,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,How to Use Buyer Intent,LIVE,9/28/22 19:37,9/28/22 19:37,9/28/22 19:51,1,100%,Buyer Intent Score Filter Recommendations,9/28/22 19:51,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,How to Use Buyer Intent,LIVE,9/28/22 19:37,9/28/22 21:42,,2,73%,Prevent Churn and Improve Expansion,9/28/22 21:44,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Profile Performance & Lead Management,LIVE,9/28/22 19:11,9/28/22 19:20,9/28/22 20:29,1,100%,Lead Webhooks,9/28/22 20:29,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Review Tracking & Brand Building,LIVE,9/28/22 19:11,9/28/22 19:20,,1,0%,,,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,The Review Rundown,,9/28/22 19:11,,,,,,,G2
-Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,What is the G2 Content Subscription?,9,9/28/22 19:21,9/28/22 19:21,9/28/22 19:26,1,100%,Infographics,9/28/22 19:26,G2
-Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,G2 Profile Anatomy,LIVE,9/28/22 13:07,9/28/22 13:07,9/29/22 17:24,1,100%,Top Tips Recap,9/29/22 17:24,G2
-Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,How to Use Buyer Intent,LIVE,9/28/22 16:23,9/28/22 16:23,9/28/22 16:28,1,100%,Buyer Intent Score Filter Recommendations,9/28/22 16:28,G2
-Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,Profile Performance & Lead Management,,9/28/22 13:07,,,,,,,G2
-Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,Review Tracking & Brand Building,,9/28/22 13:07,,,,,,,G2
-Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,The Review Rundown,,9/28/22 13:07,,,,,,,G2
-Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,G2 Profile Anatomy,LIVE,9/29/22 3:38,9/29/22 3:38,,1,0%,,,G2
-Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,Profile Performance & Lead Management,,9/29/22 3:38,,,,,,,G2
-Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,Review Tracking & Brand Building,,9/29/22 3:38,,,,,,,G2
-Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,The Review Rundown,,9/29/22 3:38,,,,,,,G2
-Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,G2 Profile Anatomy,LIVE,9/29/22 13:09,11/2/22 9:44,,1,0%,,,G2
-Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,Profile Performance & Lead Management,,9/29/22 13:09,,,,,,,G2
-Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,Review Tracking & Brand Building,,9/29/22 13:09,,,,,,,G2
-Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,The Review Rundown,,9/29/22 13:09,,,,,,,G2
-Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,G2 Profile Anatomy,,9/23/22 3:51,,,,,,,G2
-Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,Profile Performance & Lead Management,,9/23/22 3:51,,,,,,,G2
-Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,Review Tracking & Brand Building,,9/23/22 3:51,,,,,,,G2
-Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,The Review Rundown,,9/23/22 3:51,,,,,,,G2
-Puck Boekhout,puck@storyteq.com,puck@storyteq.com,G2 Profile Anatomy,,9/29/22 8:27,,,,,,,G2
-Puck Boekhout,puck@storyteq.com,puck@storyteq.com,Profile Performance & Lead Management,,9/29/22 8:27,,,,,,,G2
-Puck Boekhout,puck@storyteq.com,puck@storyteq.com,Review Tracking & Brand Building,,9/29/22 8:27,,,,,,,G2
-Puck Boekhout,puck@storyteq.com,puck@storyteq.com,The Review Rundown,,9/29/22 8:27,,,,,,,G2
-Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,G2 Profile Anatomy,,9/29/22 10:52,,,,,,,G2
-Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,Profile Performance & Lead Management,,9/29/22 10:52,,,,,,,G2
-Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,Review Tracking & Brand Building,,9/29/22 10:52,,,,,,,G2
-Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,The Review Rundown,,9/29/22 10:52,,,,,,,G2
-Rach Charboneau,rachel@boardable.com,rachel@boardable.com,G2 Profile Anatomy,,9/29/22 0:09,,,,,,,G2
-Rach Charboneau,rachel@boardable.com,rachel@boardable.com,Profile Performance & Lead Management,,9/29/22 0:09,,,,,,,G2
-Rach Charboneau,rachel@boardable.com,rachel@boardable.com,Review Tracking & Brand Building,,9/29/22 0:09,,,,,,,G2
-Rach Charboneau,rachel@boardable.com,rachel@boardable.com,The Review Rundown,,9/29/22 0:09,,,,,,,G2
-Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,G2 Profile Anatomy,,9/19/22 15:54,,,,,,,G2
-Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,Profile Performance & Lead Management,,9/19/22 15:54,,,,,,,G2
-Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,Review Tracking & Brand Building,,9/19/22 15:54,,,,,,,G2
-Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,The Review Rundown,,9/19/22 15:54,,,,,,,G2
-Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,G2 Profile Anatomy,,9/28/22 13:46,,,,,,,G2
-Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,Profile Performance & Lead Management,,9/28/22 13:46,,,,,,,G2
-Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,Review Tracking & Brand Building,,9/28/22 13:46,,,,,,,G2
-Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,The Review Rundown,11,9/28/22 13:46,9/28/22 13:46,9/28/22 13:57,1,100%,Review Moderation,9/28/22 13:57,G2
-Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,G2 Profile Anatomy,LIVE,9/26/22 18:21,9/26/22 18:22,,1,33%,Seller Provided Content,9/26/22 18:32,G2
-Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,Profile Performance & Lead Management,,9/26/22 18:21,,,,,,,G2
-Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,Review Tracking & Brand Building,,9/26/22 18:21,,,,,,,G2
-Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,The Review Rundown,,9/26/22 18:21,,,,,,,G2
-"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,G2 Profile Anatomy,LIVE,9/29/22 21:04,9/29/22 21:05,,1,0%,,,G2
-"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,Profile Performance & Lead Management,,9/29/22 21:04,,,,,,,G2
-"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,Review Tracking & Brand Building,,9/29/22 21:04,,,,,,,G2
-"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,The Review Rundown,,9/29/22 21:04,,,,,,,G2
-Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,G2 Profile Anatomy,,9/28/22 20:09,,,,,,,G2
-Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,Profile Performance & Lead Management,,9/28/22 20:09,,,,,,,G2
-Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,Review Tracking & Brand Building,,9/28/22 20:09,,,,,,,G2
-Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,The Review Rundown,,9/28/22 20:09,,,,,,,G2
-Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,G2 Profile Anatomy,,9/28/22 17:34,,,,,,,G2
-Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,Profile Performance & Lead Management,,9/28/22 17:34,,,,,,,G2
-Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,Review Tracking & Brand Building,,9/28/22 17:34,,,,,,,G2
-Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,The Review Rundown,,9/28/22 17:34,,,,,,,G2
-Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,G2 Profile Anatomy,,9/28/22 19:33,,,,,,,G2
-Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,How to Respond to Reviews,LIVE,9/28/22 19:34,9/28/22 19:34,,1,67%,Formulating a Response,9/28/22 19:40,G2
-Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,Profile Performance & Lead Management,,9/28/22 19:33,,,,,,,G2
-Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,Review Tracking & Brand Building,,9/28/22 19:33,,,,,,,G2
-Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,The Review Rundown,LIVE,9/28/22 19:33,9/28/22 19:33,,1,0%,,,G2
-Rachel Ward,rward@allbound.com,rward@allbound.com,G2 Profile Anatomy,,9/28/22 19:22,,,,,,,G2
-Rachel Ward,rward@allbound.com,rward@allbound.com,Profile Performance & Lead Management,,9/28/22 19:22,,,,,,,G2
-Rachel Ward,rward@allbound.com,rward@allbound.com,Review Tracking & Brand Building,,9/28/22 19:22,,,,,,,G2
-Rachel Ward,rward@allbound.com,rward@allbound.com,The Review Rundown,,9/28/22 19:22,,,,,,,G2
-Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,G2 Profile Anatomy,,9/26/22 16:32,,,,,,,G2
-Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,Profile Performance & Lead Management,,9/26/22 16:32,,,,,,,G2
-Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,Review Tracking & Brand Building,,9/26/22 16:32,,,,,,,G2
-Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,The Review Rundown,,9/26/22 16:32,,,,,,,G2
-Ran Brook,ranb@paragone.ai,ranb@paragone.ai,G2 Profile Anatomy,,9/29/22 8:32,,,,,,,G2
-Ran Brook,ranb@paragone.ai,ranb@paragone.ai,How to Use Buyer Intent,LIVE,9/29/22 8:34,9/29/22 8:34,,1,0%,,,G2
-Ran Brook,ranb@paragone.ai,ranb@paragone.ai,Profile Performance & Lead Management,,9/29/22 8:32,,,,,,,G2
-Ran Brook,ranb@paragone.ai,ranb@paragone.ai,Review Tracking & Brand Building,,9/29/22 8:32,,,,,,,G2
-Ran Brook,ranb@paragone.ai,ranb@paragone.ai,The Review Rundown,,9/29/22 8:32,,,,,,,G2
-Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,G2 Profile Anatomy,,9/28/22 13:24,,,,,,,G2
-Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,Profile Performance & Lead Management,,9/28/22 13:24,,,,,,,G2
-Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,Review Tracking & Brand Building,LIVE,9/28/22 13:24,9/28/22 13:24,,1,0%,,,G2
-Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,The Review Rundown,,9/28/22 13:24,,,,,,,G2
-Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,G2 Profile Anatomy,,9/30/22 6:27,,,,,,,G2
-Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,Profile Performance & Lead Management,,9/30/22 6:27,,,,,,,G2
-Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,Review Tracking & Brand Building,,9/30/22 6:27,,,,,,,G2
-Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,The Review Rundown,,9/30/22 6:27,,,,,,,G2
-Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,G2 Profile Anatomy,,9/28/22 19:11,,,,,,,G2
-Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,Profile Performance & Lead Management,,9/28/22 19:11,,,,,,,G2
-Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,Review Tracking & Brand Building,,9/28/22 19:11,,,,,,,G2
-Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,The Review Rundown,,9/28/22 19:11,,,,,,,G2
-Regine Bautista,regine@amberengine.com,regine@amberengine.com,G2 Profile Anatomy,,9/26/22 12:59,,,,,,,G2
-Regine Bautista,regine@amberengine.com,regine@amberengine.com,Profile Performance & Lead Management,,9/26/22 12:59,,,,,,,G2
-Regine Bautista,regine@amberengine.com,regine@amberengine.com,Review Tracking & Brand Building,,9/26/22 12:59,,,,,,,G2
-Regine Bautista,regine@amberengine.com,regine@amberengine.com,The Review Rundown,,9/26/22 12:59,,,,,,,G2
-Renee Chemel,renee@proggio.com,renee@proggio.com,G2 Profile Anatomy,,10/2/22 9:33,,,,,,,G2
-Renee Chemel,renee@proggio.com,renee@proggio.com,Profile Performance & Lead Management,,10/2/22 9:33,,,,,,,G2
-Renee Chemel,renee@proggio.com,renee@proggio.com,Review Tracking & Brand Building,,10/2/22 9:33,,,,,,,G2
-Renee Chemel,renee@proggio.com,renee@proggio.com,The Review Rundown,,10/2/22 9:33,,,,,,,G2
-Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,G2 Profile Anatomy,,9/28/22 13:29,,,,,,,G2
-Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,Profile Performance & Lead Management,,9/28/22 13:29,,,,,,,G2
-Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,Review Tracking & Brand Building,LIVE,9/28/22 13:29,9/28/22 13:29,,1,0%,,,G2
-Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,The Review Rundown,,9/28/22 13:29,,,,,,,G2
-Richard Posluszny,richard@northpass.com,richard@northpass.com,G2 Profile Anatomy,LIVE,9/28/22 13:42,9/28/22 13:43,,1,0%,,,G2
-Richard Posluszny,richard@northpass.com,richard@northpass.com,Profile Performance & Lead Management,LIVE,9/28/22 13:42,10/5/22 22:57,,1,0%,,,G2
-Richard Posluszny,richard@northpass.com,richard@northpass.com,Review Tracking & Brand Building,,9/28/22 13:42,,,,,,,G2
-Richard Posluszny,richard@northpass.com,richard@northpass.com,The Review Rundown,11,9/28/22 13:42,9/28/22 13:43,,1,14%,What are Reviews?,9/28/22 15:49,G2
-Richie Sykes,rsykes@g2.com,rsykes@g2.com,G2 Profile Anatomy,,9/20/22 15:14,,,,,,,G2
-Richie Sykes,rsykes@g2.com,rsykes@g2.com,Profile Performance & Lead Management,,9/20/22 15:14,,,,,,,G2
-Richie Sykes,rsykes@g2.com,rsykes@g2.com,Review Tracking & Brand Building,,9/20/22 15:14,,,,,,,G2
-Richie Sykes,rsykes@g2.com,rsykes@g2.com,The Review Rundown,,9/20/22 15:14,,,,,,,G2
-Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,G2 Profile Anatomy,,9/30/22 4:49,,,,,,,G2
-Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,Profile Performance & Lead Management,,9/30/22 4:49,,,,,,,G2
-Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,Review Tracking & Brand Building,,9/30/22 4:49,,,,,,,G2
-Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,The Review Rundown,LIVE,9/30/22 4:49,9/30/22 4:50,9/30/22 4:57,1,100%,Review Moderation,9/30/22 4:57,G2
-Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,G2 Profile Anatomy,,9/29/22 14:52,,,,,,,G2
-Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,Profile Performance & Lead Management,,9/29/22 14:52,,,,,,,G2
-Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,Review Tracking & Brand Building,,9/29/22 14:52,,,,,,,G2
-Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,The Review Rundown,LIVE,9/29/22 14:52,9/29/22 14:54,,1,0%,,,G2
-Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,G2 Profile Anatomy,,9/28/22 19:44,,,,,,,G2
-Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,Profile Performance & Lead Management,,9/28/22 19:44,,,,,,,G2
-Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,Review Tracking & Brand Building,,9/28/22 19:44,,,,,,,G2
-Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,The Review Rundown,LIVE,9/28/22 19:44,9/28/22 19:45,,1,14%,What are Reviews?,9/28/22 19:47,G2
-Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,G2 Profile Anatomy,,9/28/22 13:22,,,,,,,G2
-Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,Profile Performance & Lead Management,,9/28/22 13:22,,,,,,,G2
-Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,Review Tracking & Brand Building,,9/28/22 13:22,,,,,,,G2
-Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,The Review Rundown,,9/28/22 13:22,,,,,,,G2
-Robb Henshaw,robb@cameyo.com,robb@cameyo.com,G2 Profile Anatomy,,9/29/22 19:19,,,,,,,G2
-Robb Henshaw,robb@cameyo.com,robb@cameyo.com,Profile Performance & Lead Management,,9/29/22 19:19,,,,,,,G2
-Robb Henshaw,robb@cameyo.com,robb@cameyo.com,Review Tracking & Brand Building,,9/29/22 19:19,,,,,,,G2
-Robb Henshaw,robb@cameyo.com,robb@cameyo.com,The Review Rundown,,9/29/22 19:19,,,,,,,G2
-Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,G2 Profile Anatomy,,9/19/22 13:35,,,,,,,G2
-Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,Profile Performance & Lead Management,LIVE,9/19/22 13:35,9/19/22 13:35,,1,0%,,,G2
-Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,Review Tracking & Brand Building,,9/19/22 13:35,,,,,,,G2
-Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,The Review Rundown,11,9/19/22 13:35,9/19/22 13:51,,1,0%,,,G2
-Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,G2 Profile Anatomy,,9/29/22 8:07,,,,,,,G2
-Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,Profile Performance & Lead Management,,9/29/22 8:07,,,,,,,G2
-Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,Review Tracking & Brand Building,,9/29/22 8:07,,,,,,,G2
-Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,The Review Rundown,,9/29/22 8:07,,,,,,,G2
-Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,G2 Profile Anatomy,,9/28/22 19:09,,,,,,,G2
-Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,How to Respond to Reviews,LIVE,9/28/22 19:11,9/28/22 19:11,9/28/22 19:14,1,100%,Justified Negative Reviews,9/28/22 19:14,G2
-Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,Profile Performance & Lead Management,,9/28/22 19:09,,,,,,,G2
-Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,Review Tracking & Brand Building,,9/28/22 19:09,,,,,,,G2
-Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,The Review Rundown,LIVE,9/28/22 19:09,9/28/22 19:14,,1,14%,What are Reviews?,9/28/22 19:15,G2
-Ryan Fuller,rfuller@g2.com,rfuller@g2.com,G2 Profile Anatomy,,9/28/22 21:19,,,,,,,G2
-Ryan Fuller,rfuller@g2.com,rfuller@g2.com,Profile Performance & Lead Management,,9/28/22 21:19,,,,,,,G2
-Ryan Fuller,rfuller@g2.com,rfuller@g2.com,Review Tracking & Brand Building,,9/28/22 21:19,,,,,,,G2
-Ryan Fuller,rfuller@g2.com,rfuller@g2.com,The Review Rundown,,9/28/22 21:19,,,,,,,G2
-Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,G2 Profile Anatomy,,9/28/22 20:51,,,,,,,G2
-Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,Profile Performance & Lead Management,,9/28/22 20:51,,,,,,,G2
-Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,Review Tracking & Brand Building,,9/28/22 20:51,,,,,,,G2
-Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,The Review Rundown,,9/28/22 20:51,,,,,,,G2
-Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,G2 Profile Anatomy,,9/28/22 19:10,,,,,,,G2
-Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,Profile Performance & Lead Management,,9/28/22 19:10,,,,,,,G2
-Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,Review Tracking & Brand Building,,9/28/22 19:10,,,,,,,G2
-Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,The Review Rundown,,9/28/22 19:10,,,,,,,G2
-Sabina Fox,sabina@survicate.com,sabina@survicate.com,G2 Profile Anatomy,,9/29/22 13:03,,,,,,,G2
-Sabina Fox,sabina@survicate.com,sabina@survicate.com,Profile Performance & Lead Management,,9/29/22 13:03,,,,,,,G2
-Sabina Fox,sabina@survicate.com,sabina@survicate.com,Review Tracking & Brand Building,,9/29/22 13:03,,,,,,,G2
-Sabina Fox,sabina@survicate.com,sabina@survicate.com,The Review Rundown,,9/29/22 13:03,,,,,,,G2
-Sahana Swamy,sswamy@g2.com,sswamy@g2.com,G2 Profile Anatomy,,9/29/22 8:34,,,,,,,G2
-Sahana Swamy,sswamy@g2.com,sswamy@g2.com,Profile Performance & Lead Management,,9/29/22 8:34,,,,,,,G2
-Sahana Swamy,sswamy@g2.com,sswamy@g2.com,Review Tracking & Brand Building,,9/29/22 8:34,,,,,,,G2
-Sahana Swamy,sswamy@g2.com,sswamy@g2.com,The Review Rundown,,9/29/22 8:34,,,,,,,G2
-Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,G2 Profile Anatomy,,9/29/22 8:22,,,,,,,G2
-Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,Profile Performance & Lead Management,,9/29/22 8:22,,,,,,,G2
-Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,Review Tracking & Brand Building,,9/29/22 8:22,,,,,,,G2
-Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,The Review Rundown,,9/29/22 8:22,,,,,,,G2
-Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,G2 Profile Anatomy,,9/28/22 13:04,,,,,,,G2
-Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,Profile Performance & Lead Management,,9/28/22 13:04,,,,,,,G2
-Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,Review Tracking & Brand Building,,9/28/22 13:04,,,,,,,G2
-Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,The Review Rundown,11,9/28/22 13:04,9/28/22 13:36,,1,0%,,,G2
-Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,G2 Profile Anatomy,,9/28/22 19:18,,,,,,,G2
-Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,Profile Performance & Lead Management,,9/28/22 19:18,,,,,,,G2
-Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,Review Tracking & Brand Building,,9/28/22 19:18,,,,,,,G2
-Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,The Review Rundown,,9/28/22 19:18,,,,,,,G2
-Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,G2 Profile Anatomy,LIVE,9/28/22 18:16,9/28/22 18:16,,1,0%,,,G2
-Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,Profile Performance & Lead Management,,9/28/22 18:16,,,,,,,G2
-Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,Review Tracking & Brand Building,,9/28/22 18:16,,,,,,,G2
-Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,The Review Rundown,,9/28/22 18:16,,,,,,,G2
-Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,G2 Profile Anatomy,,9/29/22 16:24,,,,,,,G2
-Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,Profile Performance & Lead Management,,9/29/22 16:24,,,,,,,G2
-Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,Review Tracking & Brand Building,,9/29/22 16:24,,,,,,,G2
-Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,The Review Rundown,,9/29/22 16:24,,,,,,,G2
-Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,G2 Profile Anatomy,,9/29/22 13:56,,,,,,,G2
-Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,Profile Performance & Lead Management,,9/29/22 13:56,,,,,,,G2
-Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,Review Tracking & Brand Building,,9/29/22 13:56,,,,,,,G2
-Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,The Review Rundown,,9/29/22 13:56,,,,,,,G2
-Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,G2 Profile Anatomy,,9/29/22 19:01,,,,,,,G2
-Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,Profile Performance & Lead Management,,9/29/22 19:01,,,,,,,G2
-Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,Review Tracking & Brand Building,,9/29/22 19:01,,,,,,,G2
-Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,The Review Rundown,,9/29/22 19:01,,,,,,,G2
-Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,G2 Profile Anatomy,,9/30/22 6:56,,,,,,,G2
-Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,Profile Performance & Lead Management,,9/30/22 6:56,,,,,,,G2
-Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,Review Tracking & Brand Building,,9/30/22 6:56,,,,,,,G2
-Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,The Review Rundown,,9/30/22 6:56,,,,,,,G2
-Satish Bora,satish@nops.io,satish@nops.io,Buyer Intent Basics,LIVE,10/3/22 11:19,10/3/22 11:19,10/3/22 11:30,1,100%,Integrations,10/3/22 11:30,G2
-Satish Bora,satish@nops.io,satish@nops.io,G2 Profile Anatomy,,10/3/22 11:18,,,,,,,G2
-Satish Bora,satish@nops.io,satish@nops.io,Profile Performance & Lead Management,LIVE,10/3/22 11:18,10/3/22 11:30,,1,0%,,,G2
-Satish Bora,satish@nops.io,satish@nops.io,Review Tracking & Brand Building,,10/3/22 11:18,,,,,,,G2
-Satish Bora,satish@nops.io,satish@nops.io,The Review Rundown,,10/3/22 11:18,,,,,,,G2
-Saumya Bagga,sbagga@g2.com,sbagga@g2.com,G2 Profile Anatomy,,9/28/22 13:23,,,,,,,G2
-Saumya Bagga,sbagga@g2.com,sbagga@g2.com,Profile Performance & Lead Management,,9/28/22 13:23,,,,,,,G2
-Saumya Bagga,sbagga@g2.com,sbagga@g2.com,Review Tracking & Brand Building,,9/28/22 13:23,,,,,,,G2
-Saumya Bagga,sbagga@g2.com,sbagga@g2.com,The Review Rundown,,9/28/22 13:23,,,,,,,G2
-Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,G2 Profile Anatomy,,9/29/22 5:28,,,,,,,G2
-Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,Profile Performance & Lead Management,,9/29/22 5:28,,,,,,,G2
-Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,Review Tracking & Brand Building,,9/29/22 5:28,,,,,,,G2
-Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,The Review Rundown,,9/29/22 5:28,,,,,,,G2
-Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,G2 Profile Anatomy,LIVE,9/28/22 19:39,9/28/22 19:39,,1,0%,,,G2
-Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,Profile Performance & Lead Management,,9/28/22 19:39,,,,,,,G2
-Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,Review Tracking & Brand Building,,9/28/22 19:39,,,,,,,G2
-Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,The Review Rundown,,9/28/22 19:39,,,,,,,G2
-Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,G2 Profile Anatomy,,9/23/22 14:06,,,,,,,G2
-Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,Profile Performance & Lead Management,,9/23/22 14:06,,,,,,,G2
-Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,Review Tracking & Brand Building,,9/23/22 14:06,,,,,,,G2
-Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,The Review Rundown,,9/23/22 14:06,,,,,,,G2
-Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,G2 Profile Anatomy,,9/28/22 17:57,,,,,,,G2
-Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,How to Use Buyer Intent,LIVE,9/28/22 17:58,9/28/22 17:58,,1,0%,,,G2
-Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,Profile Performance & Lead Management,,9/28/22 17:57,,,,,,,G2
-Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,Review Tracking & Brand Building,,9/28/22 17:57,,,,,,,G2
-Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,The Review Rundown,,9/28/22 17:57,,,,,,,G2
-Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,G2 Profile Anatomy,,9/28/22 19:28,,,,,,,G2
-Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,Profile Performance & Lead Management,,9/28/22 19:28,,,,,,,G2
-Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,Review Tracking & Brand Building,,9/28/22 19:28,,,,,,,G2
-Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,The Review Rundown,,9/28/22 19:28,,,,,,,G2
-Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,G2 Profile Anatomy,,9/19/22 14:22,,,,,,,G2
-Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,Profile Performance & Lead Management,,9/19/22 14:22,,,,,,,G2
-Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,Review Tracking & Brand Building,,9/19/22 14:22,,,,,,,G2
-Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,The Review Rundown,,9/19/22 14:22,,,,,,,G2
-Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,G2 Profile Anatomy,,9/25/22 16:30,,,,,,,G2
-Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,Profile Performance & Lead Management,,9/25/22 16:30,,,,,,,G2
-Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,Review Tracking & Brand Building,,9/25/22 16:30,,,,,,,G2
-Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,The Review Rundown,,9/25/22 16:30,,,,,,,G2
-Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,What is the G2 Content Subscription?,9,9/25/22 16:41,9/25/22 16:41,,1,11%, What’s Included with the Content Subscription,9/26/22 5:34,G2
-Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,G2 Profile Anatomy,,3/17/22 19:51,,,,,,,G2
-Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,Profile Performance & Lead Management,,3/17/22 19:51,,,,,,,G2
-Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,Review Tracking & Brand Building,,3/17/22 19:51,,,,,,,G2
-Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,The Review Rundown,,3/17/22 19:51,,,,,,,G2
-Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,G2 Profile Anatomy,LIVE,9/29/22 12:19,9/29/22 12:20,9/29/22 12:25,1,100%,Top Tips Recap,9/29/22 12:25,G2
-Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,Profile Performance & Lead Management,,9/29/22 12:19,,,,,,,G2
-Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,Review Tracking & Brand Building,,9/29/22 12:19,,,,,,,G2
-Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,The Review Rundown,LIVE,9/29/22 12:19,9/29/22 12:25,9/29/22 12:34,1,100%,Review Moderation,9/29/22 12:34,G2
-Shenal Mendis,shenal@wso2.com,shenal@wso2.com,G2 Profile Anatomy,,9/28/22 14:59,,,,,,,G2
-Shenal Mendis,shenal@wso2.com,shenal@wso2.com,Profile Performance & Lead Management,,9/28/22 14:59,,,,,,,G2
-Shenal Mendis,shenal@wso2.com,shenal@wso2.com,Review Tracking & Brand Building,,9/28/22 14:59,,,,,,,G2
-Shenal Mendis,shenal@wso2.com,shenal@wso2.com,The Review Rundown,,9/28/22 14:59,,,,,,,G2
-Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,Buyer Intent Basics,LIVE,10/10/22 14:07,10/10/22 14:07,11/1/22 9:33,1,100%,Integrations,11/1/22 9:33,G2
-Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,G2 Profile Anatomy,,9/29/22 6:29,,,,,,,G2
-Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,How to Use Buyer Intent,LIVE,11/1/22 9:34,11/1/22 9:34,,1,53%,Team Goals,11/1/22 10:13,G2
-Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,Profile Performance & Lead Management,,9/29/22 6:29,,,,,,,G2
-Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,Review Tracking & Brand Building,,9/29/22 6:29,,,,,,,G2
-Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,The Review Rundown,,9/29/22 6:29,,,,,,,G2
-Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,G2 Profile Anatomy,,9/23/22 5:57,,,,,,,G2
-Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,Profile Performance & Lead Management,,9/23/22 5:57,,,,,,,G2
-Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,Review Tracking & Brand Building,,9/23/22 5:57,,,,,,,G2
-Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,The Review Rundown,,9/23/22 5:57,,,,,,,G2
-Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,G2 Profile Anatomy,LIVE,9/29/22 6:47,9/29/22 6:47,,1,0%,,,G2
-Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,Preparing for G2 Reports,LIVE,10/27/22 14:07,10/27/22 14:07,10/27/22 14:31,1,100%,Results Index Criteria,10/27/22 14:31,G2
-Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,Profile Performance & Lead Management,LIVE,9/29/22 6:47,10/27/22 14:42,,1,25%,Getting to Know the my.G2 Homepage,10/27/22 14:44,G2
-Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,Review Tracking & Brand Building,,9/29/22 6:47,,,,,,,G2
-Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,The Review Rundown,LIVE,9/29/22 6:47,10/27/22 14:31,10/27/22 14:37,1,100%,Review Moderation,10/27/22 14:37,G2
-Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,G2 Profile Anatomy,,9/29/22 15:36,,,,,,,G2
-Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,How to Respond to Reviews,LIVE,9/29/22 15:37,9/29/22 15:37,,1,8%,A Framework for Responding to Reviews,9/29/22 15:37,G2
-Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,Profile Performance & Lead Management,,9/29/22 15:36,,,,,,,G2
-Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,Review Tracking & Brand Building,,9/29/22 15:36,,,,,,,G2
-Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,The Review Rundown,,9/29/22 15:36,,,,,,,G2
-Social Media,social@nextbillion.ai,social@nextbillion.ai,G2 Profile Anatomy,,9/29/22 5:22,,,,,,,G2
-Social Media,social@nextbillion.ai,social@nextbillion.ai,Profile Performance & Lead Management,,9/29/22 5:22,,,,,,,G2
-Social Media,social@nextbillion.ai,social@nextbillion.ai,Review Tracking & Brand Building,,9/29/22 5:22,,,,,,,G2
-Social Media,social@nextbillion.ai,social@nextbillion.ai,The Review Rundown,,9/29/22 5:22,,,,,,,G2
-Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,G2 Profile Anatomy,,9/29/22 8:03,,,,,,,G2
-Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,Profile Performance & Lead Management,,9/29/22 8:03,,,,,,,G2
-Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,Review Tracking & Brand Building,,9/29/22 8:03,,,,,,,G2
-Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,The Review Rundown,,9/29/22 8:03,,,,,,,G2
-Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,G2 Profile Anatomy,LIVE,9/29/22 8:02,9/29/22 8:02,,1,0%,,,G2
-Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,Profile Performance & Lead Management,,9/29/22 8:02,,,,,,,G2
-Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,Review Tracking & Brand Building,,9/29/22 8:02,,,,,,,G2
-Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,The Review Rundown,,9/29/22 8:02,,,,,,,G2
-Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,Buyer Intent Basics,LIVE,10/11/22 16:43,10/11/22 16:43,10/11/22 16:49,1,100%,Integrations,10/11/22 16:49,G2
-Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,G2 Profile Anatomy,,9/28/22 18:46,,,,,,,G2
-Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,How to Use Buyer Intent,LIVE,10/11/22 16:49,10/11/22 16:49,10/11/22 17:36,1,100%,Buyer Intent Score Filter Recommendations,10/11/22 17:36,G2
-Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,Profile Performance & Lead Management,,9/28/22 18:46,,,,,,,G2
-Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,Review Tracking & Brand Building,,9/28/22 18:46,,,,,,,G2
-Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,The Review Rundown,,9/28/22 18:46,,,,,,,G2
-Splose Support,support@splose.com,support@splose.com,G2 Profile Anatomy,LIVE,9/29/22 0:39,9/29/22 0:39,,1,0%,,,G2
-Splose Support,support@splose.com,support@splose.com,Profile Performance & Lead Management,,9/29/22 0:39,,,,,,,G2
-Splose Support,support@splose.com,support@splose.com,Review Tracking & Brand Building,,9/29/22 0:39,,,,,,,G2
-Splose Support,support@splose.com,support@splose.com,The Review Rundown,,9/29/22 0:39,,,,,,,G2
-Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,G2 Profile Anatomy,,9/29/22 10:32,,,,,,,G2
-Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,Profile Performance & Lead Management,,9/29/22 10:32,,,,,,,G2
-Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,Review Tracking & Brand Building,,9/29/22 10:32,,,,,,,G2
-Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,The Review Rundown,LIVE,9/29/22 10:32,9/29/22 10:32,9/29/22 10:50,1,100%,Review Moderation,9/29/22 10:50,G2
-Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,G2 Profile Anatomy,,9/29/22 11:30,,,,,,,G2
-Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,Profile Performance & Lead Management,,9/29/22 11:30,,,,,,,G2
-Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,Review Tracking & Brand Building,,9/29/22 11:30,,,,,,,G2
-Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,The Review Rundown,,9/29/22 11:30,,,,,,,G2
-Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,Buyer Intent Basics,LIVE,10/5/22 15:26,10/5/22 15:26,,1,50%,Buyer Intent Signals & Ideal Customer Profile Matching,10/5/22 15:46,G2
-Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,G2 Profile Anatomy,,9/29/22 19:29,,,,,,,G2
-Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,Profile Performance & Lead Management,,9/29/22 19:29,,,,,,,G2
-Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,Review Tracking & Brand Building,,9/29/22 19:29,,,,,,,G2
-Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,The Review Rundown,,9/29/22 19:29,,,,,,,G2
-Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,G2 Profile Anatomy,,9/30/22 7:41,,,,,,,G2
-Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,Profile Performance & Lead Management,,9/30/22 7:41,,,,,,,G2
-Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,Review Tracking & Brand Building,LIVE,9/30/22 7:41,9/30/22 7:41,9/30/22 7:52,1,100%,Review Integrations,9/30/22 7:52,G2
-Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,The Review Rundown,,9/30/22 7:41,,,,,,,G2
-Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,G2 Profile Anatomy,,9/29/22 14:07,,,,,,,G2
-Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,Profile Performance & Lead Management,,9/29/22 14:07,,,,,,,G2
-Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,Review Tracking & Brand Building,,9/29/22 14:07,,,,,,,G2
-Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,The Review Rundown,,9/29/22 14:07,,,,,,,G2
-Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,G2 Profile Anatomy,,9/26/22 21:58,,,,,,,G2
-Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,Profile Performance & Lead Management,,9/26/22 21:58,,,,,,,G2
-Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,Review Tracking & Brand Building,,9/26/22 21:58,,,,,,,G2
-Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,The Review Rundown,,9/26/22 21:58,,,,,,,G2
-Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,G2 Profile Anatomy,,9/28/22 14:43,,,,,,,G2
-Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,Profile Performance & Lead Management,,9/28/22 14:43,,,,,,,G2
-Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,Review Tracking & Brand Building,,9/28/22 14:43,,,,,,,G2
-Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,The Review Rundown,,9/28/22 14:43,,,,,,,G2
-Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,G2 Profile Anatomy,,9/28/22 20:30,,,,,,,G2
-Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,Profile Performance & Lead Management,,9/28/22 20:30,,,,,,,G2
-Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,Review Tracking & Brand Building,,9/28/22 20:30,,,,,,,G2
-Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,The Review Rundown,,9/28/22 20:30,,,,,,,G2
-Steve Henson,steve@hravatar.com,steve@hravatar.com,G2 Profile Anatomy,LIVE,9/29/22 15:13,9/29/22 15:15,,1,0%,,,G2
-Steve Henson,steve@hravatar.com,steve@hravatar.com,Profile Performance & Lead Management,,9/29/22 15:13,,,,,,,G2
-Steve Henson,steve@hravatar.com,steve@hravatar.com,Review Tracking & Brand Building,,9/29/22 15:13,,,,,,,G2
-Steve Henson,steve@hravatar.com,steve@hravatar.com,The Review Rundown,,9/29/22 15:13,,,,,,,G2
-Steve Holt,sholt@siftscience.com,sholt@siftscience.com,Buyer Intent Basics,LIVE,9/30/22 23:31,9/30/22 23:31,,1,0%,,,G2
-Steve Holt,sholt@siftscience.com,sholt@siftscience.com,G2 Profile Anatomy,,9/30/22 23:31,,,,,,,G2
-Steve Holt,sholt@siftscience.com,sholt@siftscience.com,Profile Performance & Lead Management,,9/30/22 23:31,,,,,,,G2
-Steve Holt,sholt@siftscience.com,sholt@siftscience.com,Review Tracking & Brand Building,,9/30/22 23:31,,,,,,,G2
-Steve Holt,sholt@siftscience.com,sholt@siftscience.com,The Review Rundown,,9/30/22 23:31,,,,,,,G2
-Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,Buyer Intent Basics,LIVE,9/29/22 9:38,9/29/22 9:38,11/2/22 10:13,1,100%,What is Buyer Intent and why is it beneficial?,11/2/22 10:13,G2
-Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,G2 Profile Anatomy,,9/29/22 9:37,,,,,,,G2
-Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,Profile Performance & Lead Management,,9/29/22 9:37,,,,,,,G2
-Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,Review Tracking & Brand Building,,9/29/22 9:37,,,,,,,G2
-Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,The Review Rundown,,9/29/22 9:37,,,,,,,G2
-Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,G2 Profile Anatomy,,9/29/22 9:59,,,,,,,G2
-Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,Profile Performance & Lead Management,,9/29/22 9:59,,,,,,,G2
-Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,Review Tracking & Brand Building,,9/29/22 9:59,,,,,,,G2
-Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,The Review Rundown,,9/29/22 9:59,,,,,,,G2
-Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,G2 Profile Anatomy,,9/29/22 14:12,,,,,,,G2
-Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,Profile Performance & Lead Management,,9/29/22 14:12,,,,,,,G2
-Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,Review Tracking & Brand Building,,9/29/22 14:12,,,,,,,G2
-Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,The Review Rundown,,9/29/22 14:12,,,,,,,G2
-Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,G2 Profile Anatomy,,9/29/22 8:48,,,,,,,G2
-Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,Profile Performance & Lead Management,,9/29/22 8:48,,,,,,,G2
-Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,Review Tracking & Brand Building,,9/29/22 8:48,,,,,,,G2
-Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,The Review Rundown,,9/29/22 8:48,,,,,,,G2
-Sydney Hughes,shughes@g2.com,shughes@g2.com,Buyer Intent Basics,LIVE,10/28/22 16:40,10/28/22 16:40,,1,0%,,,G2
-Sydney Hughes,shughes@g2.com,shughes@g2.com,G2 Profile Anatomy,LIVE,9/28/22 22:01,9/29/22 16:17,,1,0%,,,G2
-Sydney Hughes,shughes@g2.com,shughes@g2.com,Profile Performance & Lead Management,,9/28/22 22:01,,,,,,,G2
-Sydney Hughes,shughes@g2.com,shughes@g2.com,Review Tracking & Brand Building,,9/28/22 22:01,,,,,,,G2
-Sydney Hughes,shughes@g2.com,shughes@g2.com,The Review Rundown,LIVE,9/28/22 22:01,9/29/22 16:17,,1,0%,,,G2
-Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,G2 Profile Anatomy,,9/29/22 21:15,,,,,,,G2
-Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,Profile Performance & Lead Management,,9/29/22 21:15,,,,,,,G2
-Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,Review Tracking & Brand Building,,9/29/22 21:15,,,,,,,G2
-Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,The Review Rundown,,9/29/22 21:15,,,,,,,G2
-Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,G2 Profile Anatomy,,9/28/22 18:36,,,,,,,G2
-Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,Profile Performance & Lead Management,,9/28/22 18:36,,,,,,,G2
-Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,Review Tracking & Brand Building,,9/28/22 18:36,,,,,,,G2
-Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,The Review Rundown,,9/28/22 18:36,,,,,,,G2
-Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,G2 Profile Anatomy,LIVE,9/29/22 6:36,9/29/22 6:36,9/29/22 6:53,1,100%,Top Tips Recap,9/29/22 6:53,G2
-Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,Profile Performance & Lead Management,LIVE,9/29/22 6:36,9/29/22 6:53,,1,38%,Profile Activity Page Overview,9/29/22 6:57,G2
-Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,Review Tracking & Brand Building,,9/29/22 6:36,,,,,,,G2
-Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,The Review Rundown,,9/29/22 6:36,,,,,,,G2
-Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,G2 Profile Anatomy,LIVE,9/29/22 6:58,9/29/22 8:42,,1,0%,,,G2
-Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,Profile Performance & Lead Management,,9/29/22 6:58,,,,,,,G2
-Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,Review Tracking & Brand Building,,9/29/22 6:58,,,,,,,G2
-Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,The Review Rundown,,9/29/22 6:58,,,,,,,G2
-Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,G2 Profile Anatomy,,9/29/22 6:58,,,,,,,G2
-Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,Profile Performance & Lead Management,,9/29/22 6:58,,,,,,,G2
-Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,Review Tracking & Brand Building,,9/29/22 6:58,,,,,,,G2
-Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,The Review Rundown,,9/29/22 6:58,,,,,,,G2
-Tereza Blecho,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,G2 Profile Anatomy,,9/29/22 6:40,,,,,,,G2
-Tereza Blecho,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,Profile Performance & Lead Management,,9/29/22 6:40,,,,,,,G2
-Tereza Blecho,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,Review Tracking & Brand Building,,9/29/22 6:40,,,,,,,G2
-Tereza Blecho,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,The Review Rundown,,9/29/22 6:40,,,,,,,G2
-Tim Silber,tsilber@g2.com,tsilber@g2.com,Buyer Intent Basics,5,9/28/22 13:45,9/28/22 13:45,,1,50%,Integrations,10/7/22 17:51,G2
-Tim Silber,tsilber@g2.com,tsilber@g2.com,G2 Profile Anatomy,LIVE,9/19/22 17:52,9/28/22 13:48,,1,0%,,,G2
-Tim Silber,tsilber@g2.com,tsilber@g2.com,How to Use Buyer Intent,LIVE,9/28/22 13:46,9/28/22 13:46,,1,0%,,,G2
-Tim Silber,tsilber@g2.com,tsilber@g2.com,Profile Performance & Lead Management,LIVE,9/19/22 17:52,9/28/22 13:48,,1,0%,,,G2
-Tim Silber,tsilber@g2.com,tsilber@g2.com,Review Tracking & Brand Building,,9/19/22 17:52,,,,,,,G2
-Tim Silber,tsilber@g2.com,tsilber@g2.com,The Review Rundown,,9/19/22 17:52,,,,,,,G2
-Tim Silber,tsilber@g2.com,tsilber@g2.com,What is the G2 Content Subscription?,LIVE,10/3/22 18:02,10/3/22 18:02,,1,0%,,,G2
-Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,G2 Profile Anatomy,,9/29/22 5:45,,,,,,,G2
-Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,Profile Performance & Lead Management,,9/29/22 5:45,,,,,,,G2
-Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,Review Tracking & Brand Building,,9/29/22 5:45,,,,,,,G2
-Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,The Review Rundown,,9/29/22 5:45,,,,,,,G2
-Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,G2 Profile Anatomy,,9/29/22 8:20,,,,,,,G2
-Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,Profile Performance & Lead Management,,9/29/22 8:20,,,,,,,G2
-Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,Review Tracking & Brand Building,,9/29/22 8:20,,,,,,,G2
-Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,The Review Rundown,,9/29/22 8:20,,,,,,,G2
-Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,G2 Profile Anatomy,,9/29/22 6:32,,,,,,,G2
-Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,Profile Performance & Lead Management,,9/29/22 6:32,,,,,,,G2
-Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,Review Tracking & Brand Building,,9/29/22 6:32,,,,,,,G2
-Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,The Review Rundown,,9/29/22 6:32,,,,,,,G2
-Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,G2 Profile Anatomy,,10/3/22 10:34,,,,,,,G2
-Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,Profile Performance & Lead Management,,10/3/22 10:34,,,,,,,G2
-Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,Review Tracking & Brand Building,,10/3/22 10:34,,,,,,,G2
-Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,The Review Rundown,,10/3/22 10:34,,,,,,,G2
-Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,G2 Profile Anatomy,,9/28/22 20:06,,,,,,,G2
-Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,Profile Performance & Lead Management,,9/28/22 20:06,,,,,,,G2
-Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,Review Tracking & Brand Building,,9/28/22 20:06,,,,,,,G2
-Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,The Review Rundown,,9/28/22 20:06,,,,,,,G2
-Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,G2 Profile Anatomy,LIVE,9/28/22 16:41,9/28/22 18:41,,1,0%,,,G2
-Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,Profile Performance & Lead Management,,9/28/22 16:41,,,,,,,G2
-Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,Review Tracking & Brand Building,,9/28/22 16:41,,,,,,,G2
-Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,The Review Rundown,,9/28/22 16:41,,,,,,,G2
-travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,G2 Profile Anatomy,4,8/18/22 13:47,8/18/22 13:47,8/18/22 13:48,1,100%,Top Tips Recap,8/18/22 13:48,G2
-travis buckley,tbuckley@g2.com,tbuckley@g2.com,G2 Profile Anatomy,3,3/4/22 15:16,3/11/22 17:46,3/11/22 17:47,1,16%,What is the value of a G2 Profile?,3/11/22 17:47,G2
-travis buckley,tbuckley@g2.com,tbuckley@g2.com,G2 Profile Anatomy,4,3/4/22 15:16,3/16/22 20:20,3/22/22 13:13,2,100%,Top Tips Recap,3/22/22 13:13,G2
-travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,Profile Performance & Lead Management,,8/18/22 13:47,,,,,,,G2
-travis buckley,tbuckley@g2.com,tbuckley@g2.com,Profile Performance & Lead Management,3,3/4/22 15:16,3/22/22 14:10,3/22/22 14:12,1,50%,What you'll need,3/22/22 14:12,G2
-travis buckley,tbuckley@g2.com,tbuckley@g2.com,Profile Performance & Lead Management,6,3/4/22 15:16,8/23/22 17:04,8/23/22 17:05,2,100%,Lead Webhooks,8/23/22 17:05,G2
-travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,Review Tracking & Brand Building,,8/18/22 13:47,,,,,,,G2
-travis buckley,tbuckley@g2.com,tbuckley@g2.com,Review Tracking & Brand Building,2,3/4/22 15:16,3/22/22 14:20,,1,0%,,,G2
-travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,The Review Rundown,,8/18/22 13:47,,,,,,,G2
-travis buckley,tbuckley@g2.com,tbuckley@g2.com,The Review Rundown,2,3/4/22 15:16,3/22/22 14:21,,1,0%,,,G2
-Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,G2 Profile Anatomy,LIVE,9/29/22 15:36,9/29/22 15:42,,1,0%,,,G2
-Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,Profile Performance & Lead Management,,9/29/22 15:36,,,,,,,G2
-Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,Review Tracking & Brand Building,,9/29/22 15:36,,,,,,,G2
-Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,The Review Rundown,,9/29/22 15:36,,,,,,,G2
-Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,G2 Profile Anatomy,LIVE,9/28/22 20:54,9/28/22 20:54,,1,0%,,,G2
-Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,Profile Performance & Lead Management,,9/28/22 20:54,,,,,,,G2
-Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,Review Tracking & Brand Building,,9/28/22 20:54,,,,,,,G2
-Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,The Review Rundown,,9/28/22 20:54,,,,,,,G2
-Trey Hinsch,thinsch@g2.com,thinsch@g2.com,G2 Profile Anatomy,,9/28/22 19:12,,,,,,,G2
-Trey Hinsch,thinsch@g2.com,thinsch@g2.com,Profile Performance & Lead Management,,9/28/22 19:12,,,,,,,G2
-Trey Hinsch,thinsch@g2.com,thinsch@g2.com,Review Tracking & Brand Building,,9/28/22 19:12,,,,,,,G2
-Trey Hinsch,thinsch@g2.com,thinsch@g2.com,The Review Rundown,,9/28/22 19:12,,,,,,,G2
-Trish Kennedy,marketing@zudy.com,marketing@zudy.com,G2 Profile Anatomy,LIVE,9/28/22 20:45,9/28/22 20:48,,1,0%,,,G2
-Trish Kennedy,marketing@zudy.com,marketing@zudy.com,Profile Performance & Lead Management,,9/28/22 20:45,,,,,,,G2
-Trish Kennedy,marketing@zudy.com,marketing@zudy.com,Review Tracking & Brand Building,,9/28/22 20:45,,,,,,,G2
-Trish Kennedy,marketing@zudy.com,marketing@zudy.com,The Review Rundown,,9/28/22 20:45,,,,,,,G2
-Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Buyer Intent Basics,LIVE,9/29/22 14:50,9/29/22 14:50,9/30/22 20:28,1,100%,Integrations,9/30/22 20:28,G2
-Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Buyer Intent Basics,LIVE,9/29/22 14:50,10/4/22 14:39,,2,83%,Notifications,10/4/22 17:51,G2
-Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,G2 Profile Anatomy,LIVE,9/28/22 21:14,10/1/22 15:13,,1,17%,What is the Value of a G2 Profile?,10/1/22 15:23,G2
-Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,How to Use Buyer Intent,LIVE,10/4/22 17:51,10/4/22 17:51,,1,7%,Plan Building,10/4/22 17:55,G2
-Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Profile Performance & Lead Management,,9/28/22 21:14,,,,,,,G2
-Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Review Tracking & Brand Building,,9/28/22 21:14,,,,,,,G2
-Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,The Review Rundown,LIVE,9/28/22 21:14,10/4/22 17:56,,1,43%,Intro/4 Pillars,10/4/22 18:04,G2
-Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,G2 Profile Anatomy,,9/23/22 12:39,,,,,,,G2
-Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,Profile Performance & Lead Management,,9/23/22 12:39,,,,,,,G2
-Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,Review Tracking & Brand Building,,9/23/22 12:39,,,,,,,G2
-Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,The Review Rundown,,9/23/22 12:39,,,,,,,G2
-Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,G2 Profile Anatomy,,9/30/22 12:54,,,,,,,G2
-Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,Profile Performance & Lead Management,,9/30/22 12:54,,,,,,,G2
-Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,Review Tracking & Brand Building,,9/30/22 12:54,,,,,,,G2
-Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,The Review Rundown,,9/30/22 12:54,,,,,,,G2
-Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,G2 Profile Anatomy,LIVE,9/28/22 19:51,9/28/22 19:52,10/11/22 21:45,1,100%,What is the Value of a G2 Profile?,10/11/22 21:45,G2
-Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,Profile Performance & Lead Management,,9/28/22 19:51,,,,,,,G2
-Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,Review Tracking & Brand Building,,9/28/22 19:51,,,,,,,G2
-Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,The Review Rundown,LIVE,9/28/22 19:51,10/11/22 21:46,,1,57%,Review Attribution Tags,10/11/22 22:15,G2
-Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,G2 Profile Anatomy,,9/28/22 13:52,,,,,,,G2
-Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,Profile Performance & Lead Management,,9/28/22 13:52,,,,,,,G2
-Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,Review Tracking & Brand Building,,9/28/22 13:52,,,,,,,G2
-Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,The Review Rundown,,9/28/22 13:52,,,,,,,G2
-Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,G2 Profile Anatomy,LIVE,9/22/22 15:49,9/22/22 15:49,9/22/22 16:11,1,100%,Seller Provided Content,9/22/22 16:11,G2
-Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,G2 Profile Anatomy,4,8/18/22 18:53,8/18/22 18:53,,1,0%,,,G2
-Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,Profile Performance & Lead Management,LIVE,9/22/22 15:49,9/22/22 16:06,9/22/22 16:06,1,100%,Lead Webhooks,9/22/22 16:06,G2
-Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,Profile Performance & Lead Management,3,8/18/22 18:53,8/18/22 18:53,8/18/22 18:55,1,100%,What you'll need,8/18/22 18:55,G2
-Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,Review Tracking & Brand Building,LIVE,9/22/22 15:49,9/22/22 16:10,,1,0%,,,G2
-Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,Review Tracking & Brand Building,,8/18/22 18:53,,,,,,,G2
-Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,The Review Rundown,11,9/22/22 15:49,9/22/22 15:50,,1,0%,,,G2
-Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,The Review Rundown,,8/18/22 18:53,,,,,,,G2
-Vincent chen,vincent@illasoft.com,vincent@illasoft.com,G2 Profile Anatomy,,9/26/22 2:47,,,,,,,G2
-Vincent chen,vincent@illasoft.com,vincent@illasoft.com,Profile Performance & Lead Management,,9/26/22 2:47,,,,,,,G2
-Vincent chen,vincent@illasoft.com,vincent@illasoft.com,Review Tracking & Brand Building,,9/26/22 2:47,,,,,,,G2
-Vincent chen,vincent@illasoft.com,vincent@illasoft.com,The Review Rundown,,9/26/22 2:47,,,,,,,G2
-Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,G2 Profile Anatomy,,9/26/22 14:31,,,,,,,G2
-Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,G2 Profile Anatomy,4,8/16/22 15:50,8/18/22 17:56,8/18/22 18:00,1,100%,Top Tips Recap,8/18/22 18:00,G2
-Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,Profile Performance & Lead Management,,9/26/22 14:31,,,,,,,G2
-Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,Profile Performance & Lead Management,,8/16/22 15:50,,,,,,,G2
-Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,Review Tracking & Brand Building,,9/26/22 14:31,,,,,,,G2
-Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,Review Tracking & Brand Building,,8/16/22 15:50,,,,,,,G2
-Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,The Review Rundown,,9/26/22 14:31,,,,,,,G2
-Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,The Review Rundown,,8/16/22 15:50,,,,,,,G2
-Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,G2 Profile Anatomy,,9/29/22 6:51,,,,,,,G2
-Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,Profile Performance & Lead Management,,9/29/22 6:51,,,,,,,G2
-Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,Review Tracking & Brand Building,,9/29/22 6:51,,,,,,,G2
-Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,The Review Rundown,,9/29/22 6:51,,,,,,,G2
-Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,G2 Profile Anatomy,,9/28/22 19:01,,,,,,,G2
-Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,Profile Performance & Lead Management,,9/28/22 19:01,,,,,,,G2
-Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,Review Tracking & Brand Building,,9/28/22 19:01,,,,,,,G2
-Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,The Review Rundown,,9/28/22 19:01,,,,,,,G2
-Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,G2 Profile Anatomy,,9/28/22 13:16,,,,,,,G2
-Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,Profile Performance & Lead Management,,9/28/22 13:16,,,,,,,G2
-Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,Review Tracking & Brand Building,,9/28/22 13:16,,,,,,,G2
-Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,The Review Rundown,,9/28/22 13:16,,,,,,,G2
-Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,G2 Profile Anatomy,,9/29/22 9:29,,,,,,,G2
-Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,Profile Performance & Lead Management,,9/29/22 9:29,,,,,,,G2
-Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,Review Tracking & Brand Building,,9/29/22 9:29,,,,,,,G2
-Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,The Review Rundown,,9/29/22 9:29,,,,,,,G2
-Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,G2 Profile Anatomy,LIVE,9/29/22 7:15,9/29/22 7:15,,1,0%,,,G2
-Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,Profile Performance & Lead Management,,9/29/22 7:15,,,,,,,G2
-Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,Review Tracking & Brand Building,,9/29/22 7:15,,,,,,,G2
-Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,The Review Rundown,,9/29/22 7:15,,,,,,,G2
-Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,G2 Profile Anatomy,LIVE,9/28/22 20:06,9/28/22 20:06,,1,0%,,,G2
-Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,Profile Performance & Lead Management,,9/28/22 20:06,,,,,,,G2
-Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,Review Tracking & Brand Building,,9/28/22 20:06,,,,,,,G2
-Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,The Review Rundown,,9/28/22 20:06,,,,,,,G2
-Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,G2 Profile Anatomy,,9/29/22 11:34,,,,,,,G2
-Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,How to Use Buyer Intent,LIVE,9/29/22 11:36,9/29/22 11:36,,1,0%,,,G2
-Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,Profile Performance & Lead Management,LIVE,9/29/22 11:34,9/29/22 11:36,,1,0%,,,G2
-Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,Review Tracking & Brand Building,,9/29/22 11:34,,,,,,,G2
-Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,The Review Rundown,LIVE,9/29/22 11:34,9/30/22 11:21,,1,43%,Intro/4 Pillars,9/30/22 11:27,G2
-Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,G2 Profile Anatomy,LIVE,10/3/22 13:23,10/10/22 11:00,10/10/22 11:29,1,100%,Top Tips Recap,10/10/22 11:29,G2
-Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,Profile Performance & Lead Management,LIVE,10/3/22 13:23,10/10/22 11:31,,1,50%,Your Competitors,10/10/22 11:58,G2
-Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,Review Tracking & Brand Building,,10/3/22 13:23,,,,,,,G2
-Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,The Review Rundown,,10/3/22 13:23,,,,,,,G2
-Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Buyer Intent Basics,5,9/28/22 19:14,9/28/22 19:14,,1,17%,What is Buyer Intent and why is it beneficial?,9/28/22 19:14,G2
-Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,G2 Profile Anatomy,,9/28/22 19:14,,,,,,,G2
-Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Preparing for G2 Reports,LIVE,11/2/22 16:20,11/2/22 16:20,,1,21%,Review Deadline,11/2/22 16:21,G2
-Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Profile Performance & Lead Management,,9/28/22 19:14,,,,,,,G2
-Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Review Tracking & Brand Building,,9/28/22 19:14,,,,,,,G2
-Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,The Review Rundown,,9/28/22 19:14,,,,,,,G2
-Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,G2 Profile Anatomy,,9/20/22 15:09,,,,,,,G2
-Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,How to Respond to Reviews,LIVE,10/20/22 21:14,10/20/22 21:14,,1,0%,,,G2
-Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,Profile Performance & Lead Management,,9/20/22 15:09,,,,,,,G2
-Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,Review Tracking & Brand Building,,9/20/22 15:09,,,,,,,G2
-Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,The Review Rundown,,9/20/22 15:09,,,,,,,G2
-,jpark@g2.com,jpark@g2.com,G2 Profile Anatomy,,3/4/22 15:16,,,,,,,G2
-,rmorris@g2.com,rmorris@g2.com,G2 Profile Anatomy,,3/4/22 15:16,,,,,,,G2
-,jpark@g2.com,jpark@g2.com,Profile Performance & Lead Management,,3/4/22 15:16,,,,,,,G2
-,rmorris@g2.com,rmorris@g2.com,Profile Performance & Lead Management,,3/4/22 15:16,,,,,,,G2
-,rmorris@g2.com,rmorris@g2.com,Review Tracking & Brand Building,,3/4/22 15:16,,,,,,,G2
-,jpark@g2.com,jpark@g2.com,Review Tracking & Brand Building,,3/4/22 15:16,,,,,,,G2
-,rmorris@g2.com,rmorris@g2.com,The Review Rundown,,3/4/22 15:16,,,,,,,G2
-,jpark@g2.com,jpark@g2.com,The Review Rundown,,3/4/22 15:16,,,,,,,G2
\ No newline at end of file
diff --git a/Scripts/G2_Unenroll/g2mca_112122.csv b/Scripts/G2_Unenroll/g2mca_112122.csv
deleted file mode 100644
index 8d50e261..00000000
--- a/Scripts/G2_Unenroll/g2mca_112122.csv
+++ /dev/null
@@ -1,1962 +0,0 @@
-,Learner Name,Email,SSO UID,Course Name,Course Version,Enrollment Date,Attempt Start,Attempt End,Attempt Number,Course Progress,Last Activity,Last Activity Date,Groups
-1,Keven Farnworth,keven@bl.ink,keven@bl.ink,How to Respond to Reviews,LIVE,2022-11-18 18:59:56,2022-11-18 18:59:57,2022-11-18 19:13:58,1,100%,Unactionable Negative Reviews,2022-11-18 19:13:58,G2
-2,Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,How to Use Buyer Intent,LIVE,2022-11-16 18:16:00,2022-11-16 18:16:01,,1,0%,,,G2
-3,Anu Chadha,achadha@g2.com,achadha@g2.com,How to Respond to Reviews,LIVE,2022-11-16 11:24:26,2022-11-16 11:24:26,,1,0%,,,G2
-4,Erin Boyd,eboyd@g2.com,eboyd@g2.com,Preparing for G2 Reports,LIVE,2022-11-15 17:55:57,2022-11-15 17:55:58,,1,0%,,,G2
-5,Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,Preparing for G2 Reports,LIVE,2022-11-07 15:17:20,2022-11-07 15:17:21,,1,43%,Report Release,2022-11-07 15:19:18,G2
-6,Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,How to Use Buyer Intent,LIVE,2022-11-02 17:31:49,2022-11-02 17:31:49,,1,13%,Considerations,2022-11-02 17:32:10,G2
-7,Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Preparing for G2 Reports,LIVE,2022-11-02 16:20:50,2022-11-02 16:20:51,,1,21%,Review Deadline,2022-11-02 16:21:16,G2
-8,Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,Buyer Intent Basics,LIVE,2022-11-01 20:20:42,2022-11-01 20:20:42,,1,67%,Detailed Timeline view,2022-11-01 20:22:50,G2
-9,Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,Preparing for G2 Reports,LIVE,2022-11-01 18:44:45,2022-11-01 18:44:45,,1,64%,Segmented Grid Report Criteria,2022-11-01 18:45:47,G2
-10,Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,How to Use Buyer Intent,LIVE,2022-11-01 09:34:19,2022-11-01 09:34:20,,1,53%,Team Goals,2022-11-01 10:13:41,G2
-11,Katlin Hess,khess@g2.com,khess@g2.com,How to Respond to Reviews,LIVE,2022-10-31 15:53:13,2022-10-31 15:53:14,,1,17%,Respond to Reviews: Who ,2022-10-31 15:53:32,G2
-12,Sydney Hughes,shughes@g2.com,shughes@g2.com,Buyer Intent Basics,LIVE,2022-10-28 16:40:01,2022-10-28 16:40:02,,1,0%,,,G2
-13,Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,How to Respond to Reviews,LIVE,2022-10-28 09:17:11,2022-10-28 09:17:11,2022-10-28 09:18:35,1,100%,Unactionable Negative Reviews,2022-10-28 09:18:35,G2
-14,Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,Preparing for G2 Reports,LIVE,2022-10-27 14:07:38,2022-10-27 14:07:39,2022-10-27 14:31:17,1,100%,Results Index Criteria,2022-10-27 14:31:17,G2
-15,Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,Preparing for G2 Reports,LIVE,2022-10-27 14:07:38,2022-11-08 13:58:42,,2,21%,Review Deadline,2022-11-08 13:58:52,G2
-16,David Vero,dvero@successfinder.com,dvero@successfinder.com,How to Use Buyer Intent,LIVE,2022-10-26 18:44:03,2022-10-26 18:44:03,2022-10-26 19:08:32,1,100%,Buyer Intent Score Filter Recommendations,2022-10-26 19:08:32,G2
-17,David Vero,dvero@successfinder.com,dvero@successfinder.com,Buyer Intent Basics,LIVE,2022-10-25 20:29:30,2022-10-25 20:29:30,2022-10-25 20:44:05,1,100%,Integrations,2022-10-25 20:44:05,G2
-18,David Vero,dvero@successfinder.com,dvero@successfinder.com,What is the G2 Content Subscription?,LIVE,2022-10-25 19:07:27,2022-10-25 19:07:28,2022-10-25 20:29:11,1,100%,Infographics,2022-10-25 20:29:11,G2
-19,Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,How to Respond to Reviews,LIVE,2022-10-24 21:12:38,2022-10-24 21:12:39,,1,17%,Formulating a Response to Negative Reviews,2022-10-24 21:12:58,G2
-20,🌱 Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,How to Respond to Reviews,LIVE,2022-10-20 21:14:39,2022-10-20 21:14:40,,1,0%,,,G2
-21,David Vero,dvero@successfinder.com,dvero@successfinder.com,Preparing for G2 Reports,LIVE,2022-10-19 14:58:27,2022-10-19 14:58:27,2022-10-19 15:41:31,1,100%,Report Calendar + Actions Required,2022-10-19 15:41:31,G2
-22,Aravind Raj T,araj@g2.com,araj@g2.com,Buyer Intent Basics,LIVE,2022-10-18 07:25:12,2022-10-18 07:25:12,,1,0%,,,G2
-23,Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,Buyer Intent Basics,LIVE,2022-10-17 17:59:58,2022-10-17 17:59:58,2022-10-17 18:04:25,1,100%,Integrations,2022-10-17 18:04:25,G2
-24,Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,How to Use Buyer Intent,LIVE,2022-10-13 14:30:21,2022-10-13 14:30:21,,1,53%,Increase Marketing Spend Efficiency,2022-10-13 14:50:28,G2
-25,Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,How to Use Buyer Intent,LIVE,2022-10-11 17:53:24,2022-10-11 17:53:27,,1,7%,Plan Building,2022-10-11 17:54:07,G2
-26,Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,Preparing for G2 Reports,LIVE,2022-10-11 17:50:31,2022-10-11 17:50:31,,1,36%,Draft Edit Request Deadline,2022-10-11 17:52:54,G2
-27,Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,How to Use Buyer Intent,LIVE,2022-10-11 16:49:34,2022-10-11 16:49:35,2022-10-11 17:36:35,1,100%,Buyer Intent Score Filter Recommendations,2022-10-11 17:36:36,G2
-28,Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,Buyer Intent Basics,LIVE,2022-10-11 16:43:53,2022-10-11 16:43:54,2022-10-11 16:49:09,1,100%,Integrations,2022-10-11 16:49:09,G2
-29,Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,Preparing for G2 Reports,LIVE,2022-10-10 14:58:08,2022-10-10 14:58:09,2022-10-10 15:04:39,1,100%,Results Index Criteria,2022-10-10 15:04:39,G2
-30,Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,Buyer Intent Basics,LIVE,2022-10-10 14:07:39,2022-10-10 14:07:40,2022-11-01 09:33:27,1,100%,Integrations,2022-11-01 09:33:27,G2
-31,Erin Boyd,eboyd@g2.com,eboyd@g2.com,Buyer Intent Basics,LIVE,2022-10-07 17:52:57,2022-10-07 17:52:58,,1,0%,,,G2
-32,Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,How to Use Buyer Intent,LIVE,2022-10-07 17:44:39,2022-10-07 17:44:39,,1,7%,Plan Building,2022-10-07 17:45:11,G2
-33,Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,How to Use Buyer Intent,LIVE,2022-10-07 16:16:04,2022-10-07 16:16:05,,1,0%,,,G2
-34,Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,How to Respond to Reviews,LIVE,2022-10-06 20:34:14,2022-10-06 20:34:15,,1,17%,A Framework for Responding to Reviews,2022-10-14 18:28:05,G2
-35,Amanda Malko,amanda@g2.com,amanda@g2.com,Preparing for G2 Reports,LIVE,2022-10-06 13:56:48,2022-10-06 13:56:48,,1,0%,,,G2
-36,Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,How to Respond to Reviews,LIVE,2022-10-06 10:51:45,2022-10-06 10:51:45,2022-10-06 11:07:18,1,100%,Unactionable Negative Reviews,2022-10-06 11:07:18,G2
-37,Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,Buyer Intent Basics,LIVE,2022-10-05 15:26:51,2022-10-05 15:26:52,,1,50%,Buyer Intent Signals & Ideal Customer Profile Matching,2022-10-05 15:46:55,G2
-38,Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,How to Use Buyer Intent,LIVE,2022-10-04 17:51:55,2022-10-04 17:51:56,,1,7%,Plan Building,2022-10-04 17:55:56,G2
-39,Tim Silber,tsilber@g2.com,tsilber@g2.com,What is the G2 Content Subscription?,LIVE,2022-10-03 18:02:43,2022-10-03 18:02:44,,1,0%,,,G2
-40,Angela Meier,ameier@complianceline.com,ameier@complianceline.com,Review Tracking & Brand Building,,2022-10-03 17:37:44,,,,,,,G2
-41,Angela Meier,ameier@complianceline.com,ameier@complianceline.com,Profile Performance & Lead Management,,2022-10-03 17:37:44,,,,,,,G2
-42,Angela Meier,ameier@complianceline.com,ameier@complianceline.com,G2 Profile Anatomy,,2022-10-03 17:37:44,,,,,,,G2
-43,Angela Meier,ameier@complianceline.com,ameier@complianceline.com,The Review Rundown,,2022-10-03 17:37:44,,,,,,,G2
-44,Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,G2 Profile Anatomy,,2022-10-03 16:56:40,,,,,,,G2
-45,Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,The Review Rundown,,2022-10-03 16:56:40,,,,,,,G2
-46,Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,Profile Performance & Lead Management,,2022-10-03 16:56:40,,,,,,,G2
-47,Laura Burtness,lburtness@g2crowd.com,lburtness@g2crowd.com,Review Tracking & Brand Building,,2022-10-03 16:56:40,,,,,,,G2
-48,Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,How to Use Buyer Intent,LIVE,2022-10-03 16:16:41,2022-10-03 16:16:42,,1,0%,,,G2
-49,Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,G2 Profile Anatomy,20,2022-10-03 15:59:10,2022-10-03 15:59:24,,1,17%,What is the Value of a G2 Profile?,2022-10-03 16:14:52,G2
-50,Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,The Review Rundown,,2022-10-03 15:59:10,,,,,,,G2
-51,Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,Review Tracking & Brand Building,,2022-10-03 15:59:10,,,,,,,G2
-52,Joseph Arcos,jarcos@abnormalsecurity.com,jarcos@abnormalsecurity.com,Profile Performance & Lead Management,,2022-10-03 15:59:10,,,,,,,G2
-53,Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,Preparing for G2 Reports,LIVE,2022-10-03 15:51:10,2022-10-03 15:51:10,,1,43%,Report Release,2022-10-03 15:51:40,G2
-54,Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,Review Tracking & Brand Building,,2022-10-03 15:50:56,,,,,,,G2
-55,Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,G2 Profile Anatomy,,2022-10-03 15:50:56,,,,,,,G2
-56,Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,Profile Performance & Lead Management,,2022-10-03 15:50:56,,,,,,,G2
-57,Jake Sotir,jake.sotir@reprise.com,jake.sotir@reprise.com,The Review Rundown,,2022-10-03 15:50:56,,,,,,,G2
-58,Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,G2 Profile Anatomy,,2022-10-03 15:14:28,,,,,,,G2
-59,Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,Profile Performance & Lead Management,,2022-10-03 15:14:28,,,,,,,G2
-60,Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,Review Tracking & Brand Building,,2022-10-03 15:14:28,,,,,,,G2
-61,Kristin Welker,kristin-welker@pluralsight.com,kristin-welker@pluralsight.com,The Review Rundown,,2022-10-03 15:14:28,,,,,,,G2
-62,Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,Review Tracking & Brand Building,,2022-10-03 13:33:10,,,,,,,G2
-63,Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,The Review Rundown,,2022-10-03 13:33:10,,,,,,,G2
-64,Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,G2 Profile Anatomy,,2022-10-03 13:33:10,,,,,,,G2
-65,Amanda Childs,amanda@agilitycms.com,amanda@agilitycms.com,Profile Performance & Lead Management,,2022-10-03 13:33:10,,,,,,,G2
-66,Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,Profile Performance & Lead Management,LIVE,2022-10-03 13:23:01,2022-10-10 11:31:13,,1,50%,Your Competitors,2022-10-10 11:58:39,G2
-67,Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,Review Tracking & Brand Building,,2022-10-03 13:23:01,,,,,,,G2
-68,Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,The Review Rundown,,2022-10-03 13:23:01,,,,,,,G2
-69,Zdenka Navarikova,zdenka.navarikova@legito.com,zdenka.navarikova@legito.com,G2 Profile Anatomy,20,2022-10-03 13:23:01,2022-10-10 11:00:30,2022-10-10 11:29:22,1,100%,Top Tips Recap,2022-10-10 11:29:22,G2
-70,Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,The Review Rundown,,2022-10-03 12:58:25,,,,,,,G2
-71,Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,Profile Performance & Lead Management,,2022-10-03 12:58:25,,,,,,,G2
-72,Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,G2 Profile Anatomy,,2022-10-03 12:58:25,,,,,,,G2
-73,Jeremy Sacramento,jeremy.sacramento@dreamdata.io,jeremy.sacramento@dreamdata.io,Review Tracking & Brand Building,,2022-10-03 12:58:25,,,,,,,G2
-74,Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,Review Tracking & Brand Building,,2022-10-03 12:33:29,,,,,,,G2
-75,Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,Profile Performance & Lead Management,,2022-10-03 12:33:29,,,,,,,G2
-76,Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,G2 Profile Anatomy,,2022-10-03 12:33:29,,,,,,,G2
-77,Emma Corbett,ecorbett@ecanvasser.com,ecorbett@ecanvasser.com,The Review Rundown,,2022-10-03 12:33:29,,,,,,,G2
-78,Anoop Nair,anair@g2.com,anair@g2.com,G2 Profile Anatomy,,2022-10-03 12:07:09,,,,,,,G2
-79,Anoop Nair,anair@g2.com,anair@g2.com,Profile Performance & Lead Management,,2022-10-03 12:07:09,,,,,,,G2
-80,Anoop Nair,anair@g2.com,anair@g2.com,Review Tracking & Brand Building,,2022-10-03 12:07:09,,,,,,,G2
-81,Anoop Nair,anair@g2.com,anair@g2.com,The Review Rundown,,2022-10-03 12:07:09,,,,,,,G2
-82,Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,Profile Performance & Lead Management,,2022-10-03 12:06:04,,,,,,,G2
-83,Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,Review Tracking & Brand Building,,2022-10-03 12:06:04,,,,,,,G2
-84,Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,The Review Rundown,,2022-10-03 12:06:04,,,,,,,G2
-85,Keshav Pushadappu,kpushadappu@g2.com,kpushadappu@g2.com,G2 Profile Anatomy,,2022-10-03 12:06:04,,,,,,,G2
-86,Satish Bora,satish@nops.io,satish@nops.io,Buyer Intent Basics,LIVE,2022-10-03 11:19:07,2022-10-03 11:19:07,2022-10-03 11:30:19,1,100%,Integrations,2022-10-03 11:30:20,G2
-87,Satish Bora,satish@nops.io,satish@nops.io,Profile Performance & Lead Management,LIVE,2022-10-03 11:18:18,2022-10-03 11:30:46,,1,0%,,,G2
-88,Satish Bora,satish@nops.io,satish@nops.io,Review Tracking & Brand Building,,2022-10-03 11:18:18,,,,,,,G2
-89,Satish Bora,satish@nops.io,satish@nops.io,The Review Rundown,,2022-10-03 11:18:18,,,,,,,G2
-90,Satish Bora,satish@nops.io,satish@nops.io,G2 Profile Anatomy,,2022-10-03 11:18:18,,,,,,,G2
-91,Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,Profile Performance & Lead Management,,2022-10-03 10:47:03,,,,,,,G2
-92,Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,G2 Profile Anatomy,,2022-10-03 10:47:03,,,,,,,G2
-93,Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,Review Tracking & Brand Building,,2022-10-03 10:47:03,,,,,,,G2
-94,Lucy Allen,lucy.allen@linnworks.com,lucy.allen@linnworks.com,The Review Rundown,LIVE,2022-10-03 10:47:03,2022-10-03 10:47:21,2022-10-06 14:48:13,1,100%,Review Moderation,2022-10-06 14:48:14,G2
-95,Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,Review Tracking & Brand Building,,2022-10-03 10:34:08,,,,,,,G2
-96,Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,Profile Performance & Lead Management,,2022-10-03 10:34:08,,,,,,,G2
-97,Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,G2 Profile Anatomy,,2022-10-03 10:34:08,,,,,,,G2
-98,Tommaso Di Stefano,tommaso@softr.io,tommaso@softr.io,The Review Rundown,,2022-10-03 10:34:08,,,,,,,G2
-99,Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,G2 Profile Anatomy,,2022-10-03 09:55:40,,,,,,,G2
-100,Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,Review Tracking & Brand Building,,2022-10-03 09:55:40,,,,,,,G2
-101,Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,The Review Rundown,,2022-10-03 09:55:40,,,,,,,G2
-102,Pim van Willige,pim.vanwillige@storyteq.com,pim.vanwillige@storyteq.com,Profile Performance & Lead Management,,2022-10-03 09:55:40,,,,,,,G2
-103,David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,Profile Performance & Lead Management,LIVE,2022-10-03 07:03:04,2022-10-03 08:21:15,2022-10-03 08:26:36,1,100%,Lead Webhooks,2022-10-03 08:26:37,G2
-104,David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,The Review Rundown,LIVE,2022-10-03 07:03:04,2022-10-03 07:06:22,2022-10-03 07:39:24,1,100%,Review Moderation,2022-10-03 07:39:24,G2
-105,David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,G2 Profile Anatomy,20,2022-10-03 07:03:04,2022-10-03 07:05:40,2022-11-02 11:54:57,1,100%,Top Tips Recap,2022-11-02 11:54:57,G2
-106,David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,Review Tracking & Brand Building,LIVE,2022-10-03 07:03:04,2022-11-02 11:56:08,,2,0%,,2022-11-02 11:56:08,G2
-107,David Turner,david.turner@external.thalesgroup.com,david.turner@external.thalesgroup.com,Review Tracking & Brand Building,LIVE,2022-10-03 07:03:04,2022-10-03 07:41:10,2022-10-03 08:20:52,1,100%,Review Integrations,2022-10-03 08:20:53,G2
-108,Renee Chemel,renee@proggio.com,renee@proggio.com,Profile Performance & Lead Management,,2022-10-02 09:33:26,,,,,,,G2
-109,Renee Chemel,renee@proggio.com,renee@proggio.com,The Review Rundown,,2022-10-02 09:33:26,,,,,,,G2
-110,Renee Chemel,renee@proggio.com,renee@proggio.com,G2 Profile Anatomy,,2022-10-02 09:33:26,,,,,,,G2
-111,Renee Chemel,renee@proggio.com,renee@proggio.com,Review Tracking & Brand Building,,2022-10-02 09:33:26,,,,,,,G2
-112,Steve Holt,sholt@siftscience.com,sholt@siftscience.com,Buyer Intent Basics,LIVE,2022-09-30 23:31:30,2022-09-30 23:31:30,,1,0%,,,G2
-113,Steve Holt,sholt@siftscience.com,sholt@siftscience.com,The Review Rundown,,2022-09-30 23:31:01,,,,,,,G2
-114,Steve Holt,sholt@siftscience.com,sholt@siftscience.com,Profile Performance & Lead Management,,2022-09-30 23:31:01,,,,,,,G2
-115,Steve Holt,sholt@siftscience.com,sholt@siftscience.com,G2 Profile Anatomy,,2022-09-30 23:31:01,,,,,,,G2
-116,Steve Holt,sholt@siftscience.com,sholt@siftscience.com,Review Tracking & Brand Building,,2022-09-30 23:31:01,,,,,,,G2
-117,Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,Review Tracking & Brand Building,,2022-09-30 23:04:38,,,,,,,G2
-118,Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,The Review Rundown,,2022-09-30 23:04:38,,,,,,,G2
-119,Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,G2 Profile Anatomy,,2022-09-30 23:04:38,,,,,,,G2
-120,Matt Dougherty,matt.dougherty@not-me.com,matt.dougherty@not-me.com,Profile Performance & Lead Management,,2022-09-30 23:04:38,,,,,,,G2
-121,Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,Profile Performance & Lead Management,LIVE,2022-09-30 21:44:55,2022-09-30 21:45:59,2022-09-30 21:51:20,1,100%,Lead Webhooks,2022-09-30 21:51:20,G2
-122,Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,The Review Rundown,,2022-09-30 21:44:55,,,,,,,G2
-123,Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,Review Tracking & Brand Building,,2022-09-30 21:44:55,,,,,,,G2
-124,Demian Shoemaker,demians@mangoapps.com,demians@mangoapps.com,G2 Profile Anatomy,20,2022-09-30 21:44:55,2022-09-30 21:45:13,,1,0%,,,G2
-125,Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,G2 Profile Anatomy,20,2022-09-30 21:27:32,2022-09-30 21:27:41,,1,0%,,,G2
-126,Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,The Review Rundown,,2022-09-30 21:27:32,,,,,,,G2
-127,Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,Review Tracking & Brand Building,,2022-09-30 21:27:32,,,,,,,G2
-128,Conrado De La Rosa,cdelarosa@g2.com,cdelarosa@g2.com,Profile Performance & Lead Management,,2022-09-30 21:27:32,,,,,,,G2
-129,Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,The Review Rundown,,2022-09-30 19:58:51,,,,,,,G2
-130,Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,Profile Performance & Lead Management,,2022-09-30 19:58:51,,,,,,,G2
-131,Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,G2 Profile Anatomy,,2022-09-30 19:58:51,,,,,,,G2
-132,Krissy Weekley,krissy@stagebase.com,krissy@stagebase.com,Review Tracking & Brand Building,,2022-09-30 19:58:51,,,,,,,G2
-133,Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,How to Use Buyer Intent,LIVE,2022-09-30 19:33:47,2022-09-30 19:33:48,2022-09-30 19:39:21,1,100%,Buyer Intent Score Filter Recommendations,2022-09-30 19:39:21,G2
-134,Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,Buyer Intent Basics,LIVE,2022-09-30 19:26:03,2022-09-30 19:26:03,2022-09-30 19:33:39,1,100%,Integrations,2022-09-30 19:33:39,G2
-135,Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,Profile Performance & Lead Management,,2022-09-30 19:24:41,,,,,,,G2
-136,Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,The Review Rundown,,2022-09-30 19:24:41,,,,,,,G2
-137,Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,Review Tracking & Brand Building,,2022-09-30 19:24:41,,,,,,,G2
-138,Beau Beamon,bbeamon@axway.com,bbeamon@axway.com,G2 Profile Anatomy,,2022-09-30 19:24:41,,,,,,,G2
-139,Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,Profile Performance & Lead Management,,2022-09-30 19:00:52,,,,,,,G2
-140,Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,The Review Rundown,,2022-09-30 19:00:52,,,,,,,G2
-141,Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,G2 Profile Anatomy,,2022-09-30 19:00:52,,,,,,,G2
-142,Anne Marie Pollitt,anne@plateiq.com,anne@plateiq.com,Review Tracking & Brand Building,,2022-09-30 19:00:52,,,,,,,G2
-143,Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,Profile Performance & Lead Management,,2022-09-30 17:58:36,,,,,,,G2
-144,Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,Review Tracking & Brand Building,LIVE,2022-09-30 17:58:36,2022-10-10 16:29:16,2022-10-10 16:38:29,1,100%,Review Integrations,2022-10-10 16:38:29,G2
-145,Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,G2 Profile Anatomy,20,2022-09-30 17:58:36,2022-09-30 17:59:25,,1,0%,,,G2
-146,Lily  Borges,lilyb@knowbe4.com,lilyb@knowbe4.com,The Review Rundown,,2022-09-30 17:58:36,,,,,,,G2
-147,Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,The Review Rundown,,2022-09-30 17:57:07,,,,,,,G2
-148,Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,Review Tracking & Brand Building,,2022-09-30 17:57:07,,,,,,,G2
-149,Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,G2 Profile Anatomy,,2022-09-30 17:57:07,,,,,,,G2
-150,Anna Lanfreschi,alanfreschi@usertesting.com,alanfreschi@usertesting.com,Profile Performance & Lead Management,,2022-09-30 17:57:07,,,,,,,G2
-151,Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,Preparing for G2 Reports,LIVE,2022-09-30 17:35:35,2022-09-30 17:35:36,,1,0%,,,G2
-152,Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,How to Respond to Reviews,LIVE,2022-09-30 17:10:48,2022-09-30 17:10:49,,1,0%,,,G2
-153,Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,G2 Profile Anatomy,,2022-09-30 17:10:19,,,,,,,G2
-154,Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,Profile Performance & Lead Management,,2022-09-30 17:10:19,,,,,,,G2
-155,Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,The Review Rundown,,2022-09-30 17:10:19,,,,,,,G2
-156,Alyssa Rogers,alyssa.rogers@split.io,alyssa.rogers@split.io,Review Tracking & Brand Building,,2022-09-30 17:10:19,,,,,,,G2
-157,Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,How to Use Buyer Intent,LIVE,2022-09-30 15:30:21,2022-09-30 15:30:22,,1,0%,,,G2
-158,Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,The Review Rundown,,2022-09-30 15:27:12,,,,,,,G2
-159,Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,G2 Profile Anatomy,,2022-09-30 15:27:12,,,,,,,G2
-160,Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,Profile Performance & Lead Management,,2022-09-30 15:27:12,,,,,,,G2
-161,Josh Baxter,jbaxter@g2.com,jbaxter@g2.com,Review Tracking & Brand Building,,2022-09-30 15:27:12,,,,,,,G2
-162,Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,The Review Rundown,,2022-09-30 14:24:52,,,,,,,G2
-163,Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,Review Tracking & Brand Building,,2022-09-30 14:24:52,,,,,,,G2
-164,Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,Profile Performance & Lead Management,LIVE,2022-09-30 14:24:52,2022-09-30 14:25:34,,1,0%,,,G2
-165,Ben Omesi,ben.omesi@mixpanel.com,ben.omesi@mixpanel.com,G2 Profile Anatomy,20,2022-09-30 14:24:52,2022-09-30 14:25:01,,1,0%,,,G2
-166,Cameron Hail,chail@g2.com,chail@g2.com,Review Tracking & Brand Building,,2022-09-30 14:07:20,,,,,,,G2
-167,Cameron Hail,chail@g2.com,chail@g2.com,The Review Rundown,,2022-09-30 14:07:20,,,,,,,G2
-168,Cameron Hail,chail@g2.com,chail@g2.com,G2 Profile Anatomy,,2022-09-30 14:07:20,,,,,,,G2
-169,Cameron Hail,chail@g2.com,chail@g2.com,Profile Performance & Lead Management,,2022-09-30 14:07:20,,,,,,,G2
-170,Josh Aldred,jaldred@osano.com,jaldred@osano.com,Profile Performance & Lead Management,,2022-09-30 13:21:44,,,,,,,G2
-171,Josh Aldred,jaldred@osano.com,jaldred@osano.com,The Review Rundown,,2022-09-30 13:21:44,,,,,,,G2
-172,Josh Aldred,jaldred@osano.com,jaldred@osano.com,Review Tracking & Brand Building,,2022-09-30 13:21:44,,,,,,,G2
-173,Josh Aldred,jaldred@osano.com,jaldred@osano.com,G2 Profile Anatomy,,2022-09-30 13:21:44,,,,,,,G2
-174,Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,Profile Performance & Lead Management,,2022-09-30 12:54:50,,,,,,,G2
-175,Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,G2 Profile Anatomy,,2022-09-30 12:54:50,,,,,,,G2
-176,Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,The Review Rundown,,2022-09-30 12:54:50,,,,,,,G2
-177,Valeria Doldan,valeria@uxcam.com,valeria@uxcam.com,Review Tracking & Brand Building,,2022-09-30 12:54:50,,,,,,,G2
-178,Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,The Review Rundown,,2022-09-30 11:35:25,,,,,,,G2
-179,Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,Review Tracking & Brand Building,,2022-09-30 11:35:25,,,,,,,G2
-180,Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,Profile Performance & Lead Management,LIVE,2022-09-30 11:35:25,2022-09-30 11:35:42,,1,0%,,,G2
-181,Eliana Rodwell,eliana.rodwell@mixpanel.com,eliana.rodwell@mixpanel.com,G2 Profile Anatomy,,2022-09-30 11:35:25,,,,,,,G2
-182,Bruno Campos,bcampos@canto.com,bcampos@canto.com,Review Tracking & Brand Building,,2022-09-30 11:20:32,,,,,,,G2
-183,Bruno Campos,bcampos@canto.com,bcampos@canto.com,Profile Performance & Lead Management,,2022-09-30 11:20:32,,,,,,,G2
-184,Bruno Campos,bcampos@canto.com,bcampos@canto.com,G2 Profile Anatomy,,2022-09-30 11:20:32,,,,,,,G2
-185,Bruno Campos,bcampos@canto.com,bcampos@canto.com,The Review Rundown,,2022-09-30 11:20:32,,,,,,,G2
-186,Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,Profile Performance & Lead Management,,2022-09-30 10:57:47,,,,,,,G2
-187,Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,Review Tracking & Brand Building,,2022-09-30 10:57:47,,,,,,,G2
-188,Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,G2 Profile Anatomy,20,2022-09-30 10:57:47,2022-09-30 10:58:40,,1,0%,,,G2
-189,Brendan Dykes,brendan.dykes@genesys.com,brendan.dykes@genesys.com,The Review Rundown,,2022-09-30 10:57:47,,,,,,,G2
-190,Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,The Review Rundown,,2022-09-30 09:57:35,,,,,,,G2
-191,Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,Profile Performance & Lead Management,,2022-09-30 09:57:35,,,,,,,G2
-192,Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,Review Tracking & Brand Building,,2022-09-30 09:57:35,,,,,,,G2
-193,Greta Budraitytė,g.budraityte@gmail.com,g.budraityte@gmail.com,G2 Profile Anatomy,,2022-09-30 09:57:35,,,,,,,G2
-194,Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,The Review Rundown,,2022-09-30 09:46:10,,,,,,,G2
-195,Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,G2 Profile Anatomy,,2022-09-30 09:46:10,,,,,,,G2
-196,Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,Review Tracking & Brand Building,,2022-09-30 09:46:10,,,,,,,G2
-197,Fani  Yaneva ,fyaneva@jamasoftware.com,fyaneva@jamasoftware.com,Profile Performance & Lead Management,,2022-09-30 09:46:10,,,,,,,G2
-198,Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,Profile Performance & Lead Management,,2022-09-30 09:17:52,,,,,,,G2
-199,Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,G2 Profile Anatomy,,2022-09-30 09:17:52,,,,,,,G2
-200,Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,The Review Rundown,LIVE,2022-09-30 09:17:52,2022-09-30 09:18:51,,1,0%,,,G2
-201,Andy Gilhooley,andy.gilhooley@redeye.com,andy.gilhooley@redeye.com,Review Tracking & Brand Building,,2022-09-30 09:17:52,,,,,,,G2
-202,Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,Review Tracking & Brand Building,,2022-09-30 08:36:48,,,,,,,G2
-203,Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,The Review Rundown,,2022-09-30 08:36:48,,,,,,,G2
-204,Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,G2 Profile Anatomy,,2022-09-30 08:36:48,,,,,,,G2
-205,Nicolas Chaves,nicolas.chaves@watchguard.com,nicolas.chaves@watchguard.com,Profile Performance & Lead Management,,2022-09-30 08:36:48,,,,,,,G2
-206,LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,Profile Performance & Lead Management,,2022-09-30 08:18:57,,,,,,,G2
-207,LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,Review Tracking & Brand Building,,2022-09-30 08:18:57,,,,,,,G2
-208,LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,G2 Profile Anatomy,,2022-09-30 08:18:57,,,,,,,G2
-209,LucaNet Software,marketing@lucanet.com,marketing@lucanet.com,The Review Rundown,,2022-09-30 08:18:57,,,,,,,G2
-210,Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,Profile Performance & Lead Management,,2022-09-30 07:41:07,,,,,,,G2
-211,Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,Review Tracking & Brand Building,LIVE,2022-09-30 07:41:07,2022-09-30 07:41:40,2022-09-30 07:52:36,1,100%,Review Integrations,2022-09-30 07:52:36,G2
-212,Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,G2 Profile Anatomy,,2022-09-30 07:41:07,,,,,,,G2
-213,Stefan  Bulatovic,s.bulatovic@affise.com,s.bulatovic@affise.com,The Review Rundown,,2022-09-30 07:41:07,,,,,,,G2
-214,Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,G2 Profile Anatomy,,2022-09-30 07:27:46,,,,,,,G2
-215,Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,The Review Rundown,,2022-09-30 07:27:46,,,,,,,G2
-216,Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,Review Tracking & Brand Building,,2022-09-30 07:27:46,,,,,,,G2
-217,Nitesh Sharma,nitesh.sharma@hevodata.com,nitesh.sharma@hevodata.com,Profile Performance & Lead Management,,2022-09-30 07:27:46,,,,,,,G2
-218,Daryl Thomas,dthomas@g2.com,dthomas@g2.com,Profile Performance & Lead Management,,2022-09-30 07:17:30,,,,,,,G2
-219,Daryl Thomas,dthomas@g2.com,dthomas@g2.com,The Review Rundown,,2022-09-30 07:17:30,,,,,,,G2
-220,Daryl Thomas,dthomas@g2.com,dthomas@g2.com,Review Tracking & Brand Building,,2022-09-30 07:17:30,,,,,,,G2
-221,Daryl Thomas,dthomas@g2.com,dthomas@g2.com,G2 Profile Anatomy,,2022-09-30 07:17:30,,,,,,,G2
-222,Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,The Review Rundown,,2022-09-30 06:56:42,,,,,,,G2
-223,Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,G2 Profile Anatomy,,2022-09-30 06:56:42,,,,,,,G2
-224,Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,Profile Performance & Lead Management,,2022-09-30 06:56:42,,,,,,,G2
-225,Sascha De Veirman,sascha.deveirman@flowsparks.com,sascha.deveirman@flowsparks.com,Review Tracking & Brand Building,,2022-09-30 06:56:42,,,,,,,G2
-226,Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,Review Tracking & Brand Building,,2022-09-30 06:27:36,,,,,,,G2
-227,Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,Profile Performance & Lead Management,,2022-09-30 06:27:36,,,,,,,G2
-228,Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,The Review Rundown,,2022-09-30 06:27:36,,,,,,,G2
-229,Ravin Ramakrishnan,ravin.ramakrishnan@mixpanel.com,ravin.ramakrishnan@mixpanel.com,G2 Profile Anatomy,,2022-09-30 06:27:36,,,,,,,G2
-230,Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,The Review Rundown,,2022-09-30 06:26:10,,,,,,,G2
-231,Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,Profile Performance & Lead Management,,2022-09-30 06:26:10,,,,,,,G2
-232,Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,G2 Profile Anatomy,,2022-09-30 06:26:10,,,,,,,G2
-233,Ishika Jain,ishikajain@targetg.in,ishikajain@targetg.in,Review Tracking & Brand Building,,2022-09-30 06:26:10,,,,,,,G2
-234,Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,The Review Rundown,,2022-09-30 06:19:45,,,,,,,G2
-235,Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,Profile Performance & Lead Management,,2022-09-30 06:19:45,,,,,,,G2
-236,Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,G2 Profile Anatomy,,2022-09-30 06:19:45,,,,,,,G2
-237,Eden Lau,eden.lau@mixpanel.com,eden.lau@mixpanel.com,Review Tracking & Brand Building,,2022-09-30 06:19:45,,,,,,,G2
-238,John Croll,john@truescope.com,john@truescope.com,Profile Performance & Lead Management,,2022-09-30 05:00:57,,,,,,,G2
-239,John Croll,john@truescope.com,john@truescope.com,The Review Rundown,,2022-09-30 05:00:57,,,,,,,G2
-240,John Croll,john@truescope.com,john@truescope.com,Review Tracking & Brand Building,,2022-09-30 05:00:57,,,,,,,G2
-241,John Croll,john@truescope.com,john@truescope.com,G2 Profile Anatomy,,2022-09-30 05:00:57,,,,,,,G2
-242,Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,Profile Performance & Lead Management,,2022-09-30 04:49:44,,,,,,,G2
-243,Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,Review Tracking & Brand Building,,2022-09-30 04:49:44,,,,,,,G2
-244,Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,G2 Profile Anatomy,,2022-09-30 04:49:44,,,,,,,G2
-245,Rick Boggs,rick.boggs@limblecmms.com,rick.boggs@limblecmms.com,The Review Rundown,LIVE,2022-09-30 04:49:44,2022-09-30 04:50:29,2022-09-30 04:57:15,1,100%,Review Moderation,2022-09-30 04:57:16,G2
-246,Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,The Review Rundown,LIVE,2022-09-30 04:06:57,2022-10-08 11:21:11,2022-10-08 12:02:12,1,100%,Review Moderation,2022-10-08 12:02:12,G2
-247,Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,Profile Performance & Lead Management,,2022-09-30 04:06:57,,,,,,,G2
-248,Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,Review Tracking & Brand Building,LIVE,2022-09-30 04:06:57,2022-10-08 12:03:29,,1,0%,,,G2
-249,Hari Krishna,harikrishna.p@chargebee.com,harikrishna.p@chargebee.com,G2 Profile Anatomy,20,2022-09-30 04:06:57,2022-09-30 04:07:27,2022-10-05 06:50:50,1,100%,Top Tips Recap,2022-10-05 06:50:50,G2
-250,Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,Buyer Intent Basics,LIVE,2022-09-30 04:05:29,2022-09-30 04:05:29,,1,17%,What is Buyer Intent and why is it beneficial?,2022-09-30 17:16:17,G2
-251,Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,Profile Performance & Lead Management,,2022-09-30 01:43:58,,,,,,,G2
-252,Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,Review Tracking & Brand Building,,2022-09-30 01:43:58,,,,,,,G2
-253,Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,G2 Profile Anatomy,,2022-09-30 01:43:58,,,,,,,G2
-254,Chaun Klemetsrud,chaun.klemetsrud@arcticwolf.com,chaun.klemetsrud@arcticwolf.com,The Review Rundown,,2022-09-30 01:43:58,,,,,,,G2
-255,Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,The Review Rundown,,2022-09-30 01:06:09,,,,,,,G2
-256,Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,Profile Performance & Lead Management,,2022-09-30 01:06:09,,,,,,,G2
-257,Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,G2 Profile Anatomy,,2022-09-30 01:06:09,,,,,,,G2
-258,Kathleen Ojo,kathleen.ojo@humaninterest.com,kathleen.ojo@humaninterest.com,Review Tracking & Brand Building,,2022-09-30 01:06:09,,,,,,,G2
-259,Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,Profile Performance & Lead Management,,2022-09-29 23:33:20,,,,,,,G2
-260,Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,The Review Rundown,,2022-09-29 23:33:20,,,,,,,G2
-261,Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,Review Tracking & Brand Building,,2022-09-29 23:33:20,,,,,,,G2
-262,Lauren Benefico,lbenefico@g2.com,lbenefico@g2.com,G2 Profile Anatomy,20,2022-09-29 23:33:20,2022-10-13 21:45:05,,1,0%,,,G2
-263,Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,G2 Profile Anatomy,,2022-09-29 22:15:48,,,,,,,G2
-264,Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,The Review Rundown,,2022-09-29 22:15:48,,,,,,,G2
-265,Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,Review Tracking & Brand Building,,2022-09-29 22:15:48,,,,,,,G2
-266,Milan Kamimura,milan.kamimura@geocomply.com,milan.kamimura@geocomply.com,Profile Performance & Lead Management,,2022-09-29 22:15:48,,,,,,,G2
-267,Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,Profile Performance & Lead Management,,2022-09-29 21:15:42,,,,,,,G2
-268,Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,G2 Profile Anatomy,,2022-09-29 21:15:42,,,,,,,G2
-269,Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,Review Tracking & Brand Building,,2022-09-29 21:15:42,,,,,,,G2
-270,Sydney Perez,sydney.perez@dialpad.com,sydney.perez@dialpad.com,The Review Rundown,,2022-09-29 21:15:42,,,,,,,G2
-271,Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,Profile Performance & Lead Management,,2022-09-29 21:15:41,,,,,,,G2
-272,Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,Review Tracking & Brand Building,,2022-09-29 21:15:41,,,,,,,G2
-273,Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,The Review Rundown,,2022-09-29 21:15:41,,,,,,,G2
-274,Larissa DiStefano,larissa.distefano@saleshood.com,larissa.distefano@saleshood.com,G2 Profile Anatomy,,2022-09-29 21:15:41,,,,,,,G2
-275,"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,The Review Rundown,,2022-09-29 21:04:54,,,,,,,G2
-276,"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,G2 Profile Anatomy,20,2022-09-29 21:04:54,2022-09-29 21:05:02,,1,0%,,,G2
-277,"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,Profile Performance & Lead Management,,2022-09-29 21:04:54,,,,,,,G2
-278,"Rachel Maner, CDMP",rmaner@apspayroll.com,rmaner@apspayroll.com,Review Tracking & Brand Building,,2022-09-29 21:04:54,,,,,,,G2
-279,Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,Review Tracking & Brand Building,,2022-09-29 21:00:17,,,,,,,G2
-280,Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,G2 Profile Anatomy,,2022-09-29 21:00:17,,,,,,,G2
-281,Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,Profile Performance & Lead Management,,2022-09-29 21:00:17,,,,,,,G2
-282,Colin Hogg,colin@couchdrop.io,colin@couchdrop.io,The Review Rundown,,2022-09-29 21:00:17,,,,,,,G2
-283,David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,The Review Rundown,LIVE,2022-09-29 20:55:05,2022-09-29 20:58:38,,1,0%,,,G2
-284,David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,Profile Performance & Lead Management,,2022-09-29 20:55:05,,,,,,,G2
-285,David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,Review Tracking & Brand Building,,2022-09-29 20:55:05,,,,,,,G2
-286,David Flach,david.flach@bloomfire.com,david.flach@bloomfire.com,G2 Profile Anatomy,,2022-09-29 20:55:05,,,,,,,G2
-287,Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,The Review Rundown,,2022-09-29 20:22:52,,,,,,,G2
-288,Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,G2 Profile Anatomy,,2022-09-29 20:22:52,,,,,,,G2
-289,Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,Profile Performance & Lead Management,,2022-09-29 20:22:52,,,,,,,G2
-290,Ellie Eisenberg,eeisenberg@learnsoft.com,eeisenberg@learnsoft.com,Review Tracking & Brand Building,,2022-09-29 20:22:52,,,,,,,G2
-291,Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,How to Use Buyer Intent,LIVE,2022-09-29 20:17:31,2022-09-29 20:17:31,,1,40%,Team Goals,2022-09-29 20:19:06,G2
-292,Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,The Review Rundown,,2022-09-29 20:16:29,,,,,,,G2
-293,Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,Review Tracking & Brand Building,,2022-09-29 20:16:29,,,,,,,G2
-294,Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,Profile Performance & Lead Management,,2022-09-29 20:16:29,,,,,,,G2
-295,Larry DeAngelis,ldeangelis@parkplacetech.com,ldeangelis@parkplacetech.com,G2 Profile Anatomy,,2022-09-29 20:16:29,,,,,,,G2
-296,Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,G2 Profile Anatomy,,2022-09-29 19:38:57,,,,,,,G2
-297,Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,Review Tracking & Brand Building,,2022-09-29 19:38:57,,,,,,,G2
-298,Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,The Review Rundown,,2022-09-29 19:38:57,,,,,,,G2
-299,Kendall Kunz,kendall@formsonfire.com,kendall@formsonfire.com,Profile Performance & Lead Management,,2022-09-29 19:38:57,,,,,,,G2
-300,Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,Profile Performance & Lead Management,,2022-09-29 19:29:08,,,,,,,G2
-301,Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,Review Tracking & Brand Building,,2022-09-29 19:29:08,,,,,,,G2
-302,Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,G2 Profile Anatomy,,2022-09-29 19:29:08,,,,,,,G2
-303,Stef Marin,stef.marin@docebo.com,stef.marin@docebo.com,The Review Rundown,,2022-09-29 19:29:08,,,,,,,G2
-304,Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,The Review Rundown,,2022-09-29 19:27:30,,,,,,,G2
-305,Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,Profile Performance & Lead Management,,2022-09-29 19:27:30,,,,,,,G2
-306,Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,Review Tracking & Brand Building,,2022-09-29 19:27:30,,,,,,,G2
-307,Liza McGraw,mcgrawliza@gmail.com,mcgrawliza@gmail.com,G2 Profile Anatomy,,2022-09-29 19:27:30,,,,,,,G2
-308,Robb Henshaw,robb@cameyo.com,robb@cameyo.com,Review Tracking & Brand Building,,2022-09-29 19:19:41,,,,,,,G2
-309,Robb Henshaw,robb@cameyo.com,robb@cameyo.com,Profile Performance & Lead Management,,2022-09-29 19:19:41,,,,,,,G2
-310,Robb Henshaw,robb@cameyo.com,robb@cameyo.com,The Review Rundown,,2022-09-29 19:19:41,,,,,,,G2
-311,Robb Henshaw,robb@cameyo.com,robb@cameyo.com,G2 Profile Anatomy,,2022-09-29 19:19:41,,,,,,,G2
-312,Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,G2 Profile Anatomy,,2022-09-29 19:19:04,,,,,,,G2
-313,Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,Review Tracking & Brand Building,,2022-09-29 19:19:04,,,,,,,G2
-314,Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,Profile Performance & Lead Management,,2022-09-29 19:19:04,,,,,,,G2
-315,Amy Flaherty,aflaherty@g2.com,aflaherty@g2.com,The Review Rundown,,2022-09-29 19:19:04,,,,,,,G2
-316,Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,The Review Rundown,,2022-09-29 19:17:31,,,,,,,G2
-317,Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,G2 Profile Anatomy,,2022-09-29 19:17:31,,,,,,,G2
-318,Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,Profile Performance & Lead Management,,2022-09-29 19:17:31,,,,,,,G2
-319,Davina Novoselac,davina.novoselac@agiloft.com,davina.novoselac@agiloft.com,Review Tracking & Brand Building,,2022-09-29 19:17:31,,,,,,,G2
-320,Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,Profile Performance & Lead Management,,2022-09-29 19:14:28,,,,,,,G2
-321,Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,Review Tracking & Brand Building,,2022-09-29 19:14:28,,,,,,,G2
-322,Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,G2 Profile Anatomy,,2022-09-29 19:14:28,,,,,,,G2
-323,Madeline Buyers,mbuyers@medallia.com,mbuyers@medallia.com,The Review Rundown,,2022-09-29 19:14:28,,,,,,,G2
-324,Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,The Review Rundown,,2022-09-29 19:01:50,,,,,,,G2
-325,Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,G2 Profile Anatomy,,2022-09-29 19:01:50,,,,,,,G2
-326,Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,Review Tracking & Brand Building,,2022-09-29 19:01:50,,,,,,,G2
-327,Sarah McDonald,smcdonald@diligent.com,smcdonald@diligent.com,Profile Performance & Lead Management,,2022-09-29 19:01:50,,,,,,,G2
-328,Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,G2 Profile Anatomy,,2022-09-29 19:01:12,,,,,,,G2
-329,Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,Review Tracking & Brand Building,,2022-09-29 19:01:12,,,,,,,G2
-330,Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,The Review Rundown,,2022-09-29 19:01:12,,,,,,,G2
-331,Drew Rosenfeld,drosenfeld@criticalmention.com,drosenfeld@criticalmention.com,Profile Performance & Lead Management,,2022-09-29 19:01:12,,,,,,,G2
-332,Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,Profile Performance & Lead Management,,2022-09-29 18:54:22,,,,,,,G2
-333,Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,The Review Rundown,LIVE,2022-09-29 18:54:22,2022-11-08 21:55:33,,1,0%,,,G2
-334,Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,Review Tracking & Brand Building,,2022-09-29 18:54:22,,,,,,,G2
-335,Daniel Viana,daniel.viana@uberflip.com,daniel.viana@uberflip.com,G2 Profile Anatomy,20,2022-09-29 18:54:22,2022-11-02 20:01:33,2022-11-03 14:08:26,1,100%,Adding CTA/Free Trial Buttons,2022-11-03 14:08:26,G2
-336,Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,G2 Profile Anatomy,,2022-09-29 18:46:01,,,,,,,G2
-337,Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,Profile Performance & Lead Management,,2022-09-29 18:46:01,,,,,,,G2
-338,Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,The Review Rundown,,2022-09-29 18:46:01,,,,,,,G2
-339,Jenny Allen,jenny.allen@coro.net,jenny.allen@coro.net,Review Tracking & Brand Building,,2022-09-29 18:46:01,,,,,,,G2
-340,David Vero,dvero@successfinder.com,dvero@successfinder.com,How to Respond to Reviews,LIVE,2022-09-29 18:29:44,2022-09-29 18:29:44,2022-09-29 18:45:15,1,100%,Unactionable Negative Reviews,2022-09-29 18:45:15,G2
-341,Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,Profile Performance & Lead Management,,2022-09-29 18:26:31,,,,,,,G2
-342,Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,The Review Rundown,,2022-09-29 18:26:31,,,,,,,G2
-343,Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,G2 Profile Anatomy,20,2022-09-29 18:26:31,2022-10-05 20:49:16,,1,50%,G2 Provided Content,2022-10-05 20:52:11,G2
-344,Kevin Rollinson,kevin.rollinson@pendo.io,kevin.rollinson@pendo.io,Review Tracking & Brand Building,,2022-09-29 18:26:31,,,,,,,G2
-345,✔ Kamil Rejent,kamil@survicate.com,kamil@survicate.com,Buyer Intent Basics,LIVE,2022-09-29 18:25:54,2022-09-29 18:25:54,2022-09-29 18:30:30,1,100%,Integrations,2022-09-29 18:30:30,G2
-346,✔ Kamil Rejent,kamil@survicate.com,kamil@survicate.com,G2 Profile Anatomy,,2022-09-29 18:25:00,,,,,,,G2
-347,✔ Kamil Rejent,kamil@survicate.com,kamil@survicate.com,Profile Performance & Lead Management,,2022-09-29 18:25:00,,,,,,,G2
-348,✔ Kamil Rejent,kamil@survicate.com,kamil@survicate.com,Review Tracking & Brand Building,,2022-09-29 18:25:00,,,,,,,G2
-349,✔ Kamil Rejent,kamil@survicate.com,kamil@survicate.com,The Review Rundown,,2022-09-29 18:25:00,,,,,,,G2
-350,Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,Profile Performance & Lead Management,,2022-09-29 18:19:51,,,,,,,G2
-351,Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,G2 Profile Anatomy,,2022-09-29 18:19:51,,,,,,,G2
-352,Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,The Review Rundown,,2022-09-29 18:19:51,,,,,,,G2
-353,Julia Goodmann,juliagood19@gmail.com,juliagood19@gmail.com,Review Tracking & Brand Building,,2022-09-29 18:19:51,,,,,,,G2
-354,Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,Profile Performance & Lead Management,,2022-09-29 18:18:02,,,,,,,G2
-355,Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,Review Tracking & Brand Building,,2022-09-29 18:18:02,,,,,,,G2
-356,Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,The Review Rundown,,2022-09-29 18:18:02,,,,,,,G2
-357,Mela Lozano,mlozano@netgate.com,mlozano@netgate.com,G2 Profile Anatomy,20,2022-09-29 18:18:02,2022-09-29 18:18:48,2022-09-29 19:58:02,1,100%,Top Tips Recap,2022-09-29 19:58:02,G2
-358,Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,The Review Rundown,,2022-09-29 17:37:17,,,,,,,G2
-359,Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,G2 Profile Anatomy,,2022-09-29 17:37:17,,,,,,,G2
-360,Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,Profile Performance & Lead Management,,2022-09-29 17:37:17,,,,,,,G2
-361,Garima Aneja,garima.aneja@grazitti.com,garima.aneja@grazitti.com,Review Tracking & Brand Building,,2022-09-29 17:37:17,,,,,,,G2
-362,Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,The Review Rundown,,2022-09-29 17:18:53,,,,,,,G2
-363,Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,Profile Performance & Lead Management,,2022-09-29 17:18:53,,,,,,,G2
-364,Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,G2 Profile Anatomy,,2022-09-29 17:18:53,,,,,,,G2
-365,Mercedes Elizabeth Barbuti,ebarbuti@hotmail.co.uk,ebarbuti@hotmail.co.uk,Review Tracking & Brand Building,,2022-09-29 17:18:53,,,,,,,G2
-366,Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,Review Tracking & Brand Building,,2022-09-29 16:51:13,,,,,,,G2
-367,Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,Profile Performance & Lead Management,,2022-09-29 16:51:13,,,,,,,G2
-368,Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,The Review Rundown,,2022-09-29 16:51:13,,,,,,,G2
-369,Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,G2 Profile Anatomy,20,2022-09-29 16:51:13,2022-09-29 16:51:41,,1,0%,,,G2
-370,Joy Knowles,joy.knowles@agilitypr.com,joy.knowles@agilitypr.com,G2 Profile Anatomy,LIVE,2022-09-29 16:51:13,2022-11-08 17:01:06,,2,20%,Screenshots,2022-11-08 17:01:24,G2
-371,Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,Review Tracking & Brand Building,,2022-09-29 16:39:41,,,,,,,G2
-372,Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,G2 Profile Anatomy,,2022-09-29 16:39:41,,,,,,,G2
-373,Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,Profile Performance & Lead Management,,2022-09-29 16:39:41,,,,,,,G2
-374,Janet Muto,jmuto@wevoconversion.com,jmuto@wevoconversion.com,The Review Rundown,,2022-09-29 16:39:41,,,,,,,G2
-375,Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,The Review Rundown,,2022-09-29 16:35:30,,,,,,,G2
-376,Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,Profile Performance & Lead Management,,2022-09-29 16:35:30,,,,,,,G2
-377,Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,G2 Profile Anatomy,,2022-09-29 16:35:30,,,,,,,G2
-378,Daniel Gonzalez,daniel.gonzalez@trustmineral.com,daniel.gonzalez@trustmineral.com,Review Tracking & Brand Building,,2022-09-29 16:35:30,,,,,,,G2
-379,Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,The Review Rundown,,2022-09-29 16:24:50,,,,,,,G2
-380,Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,Review Tracking & Brand Building,,2022-09-29 16:24:50,,,,,,,G2
-381,Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,G2 Profile Anatomy,,2022-09-29 16:24:50,,,,,,,G2
-382,Sara Lane,sara.lane@screencloud.io,sara.lane@screencloud.io,Profile Performance & Lead Management,,2022-09-29 16:24:50,,,,,,,G2
-383,Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,How to Use Buyer Intent,LIVE,2022-09-29 16:05:44,2022-09-29 16:05:45,,1,0%,,,G2
-384,Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,Profile Performance & Lead Management,,2022-09-29 16:05:22,,,,,,,G2
-385,Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,G2 Profile Anatomy,20,2022-09-29 16:05:22,2022-09-29 16:09:44,,1,0%,,,G2
-386,Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,The Review Rundown,LIVE,2022-09-29 16:05:22,2022-09-29 17:12:13,,1,29%,Review Attribution Tags,2022-09-29 17:17:22,G2
-387,Darcy Hogendorn,darcy@rewatch.com,darcy@rewatch.com,Review Tracking & Brand Building,,2022-09-29 16:05:22,,,,,,,G2
-388,Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,Review Tracking & Brand Building,,2022-09-29 15:48:55,,,,,,,G2
-389,Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,G2 Profile Anatomy,,2022-09-29 15:48:55,,,,,,,G2
-390,Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,Profile Performance & Lead Management,,2022-09-29 15:48:55,,,,,,,G2
-391,Amanda Bringewatt,amanda.bringewatt@leapsome.com,amanda.bringewatt@leapsome.com,The Review Rundown,,2022-09-29 15:48:55,,,,,,,G2
-392,Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,Profile Performance & Lead Management,,2022-09-29 15:39:51,,,,,,,G2
-393,Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,The Review Rundown,,2022-09-29 15:39:51,,,,,,,G2
-394,Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,G2 Profile Anatomy,20,2022-09-29 15:39:51,2022-09-29 18:49:01,,1,0%,,,G2
-395,Lisa Britton Poppler,lisa.britton-poppler@opterus.com,lisa.britton-poppler@opterus.com,Review Tracking & Brand Building,,2022-09-29 15:39:51,,,,,,,G2
-396,Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,How to Respond to Reviews,LIVE,2022-09-29 15:37:13,2022-09-29 15:37:14,,1,8%,A Framework for Responding to Reviews,2022-09-29 15:37:32,G2
-397,Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,Review Tracking & Brand Building,,2022-09-29 15:36:46,,,,,,,G2
-398,Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,Profile Performance & Lead Management,,2022-09-29 15:36:46,,,,,,,G2
-399,Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,The Review Rundown,,2022-09-29 15:36:46,,,,,,,G2
-400,Trent Holeman,tholeman@egnyte.com,tholeman@egnyte.com,G2 Profile Anatomy,20,2022-09-29 15:36:46,2022-09-29 15:42:22,,1,0%,,,G2
-401,Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,G2 Profile Anatomy,,2022-09-29 15:36:37,,,,,,,G2
-402,Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,Review Tracking & Brand Building,,2022-09-29 15:36:37,,,,,,,G2
-403,Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,Profile Performance & Lead Management,,2022-09-29 15:36:37,,,,,,,G2
-404,Simmi Girn,simmi.girn@gocollectiv.com,simmi.girn@gocollectiv.com,The Review Rundown,,2022-09-29 15:36:37,,,,,,,G2
-405,Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,G2 Profile Anatomy,,2022-09-29 15:34:03,,,,,,,G2
-406,Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,Review Tracking & Brand Building,,2022-09-29 15:34:03,,,,,,,G2
-407,Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,Profile Performance & Lead Management,,2022-09-29 15:34:03,,,,,,,G2
-408,Caroline Hoffman,caroline@proctorio.com,caroline@proctorio.com,The Review Rundown,,2022-09-29 15:34:03,,,,,,,G2
-409,Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,How to Respond to Reviews,LIVE,2022-09-29 15:25:54,2022-09-29 15:25:55,,1,17%,Respond to Reviews: Who ,2022-09-29 15:52:48,G2
-410,Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,Review Tracking & Brand Building,,2022-09-29 15:25:00,,,,,,,G2
-411,Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,G2 Profile Anatomy,,2022-09-29 15:25:00,,,,,,,G2
-412,Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,Profile Performance & Lead Management,,2022-09-29 15:25:00,,,,,,,G2
-413,Laura Minafo,laura.minafo@eclincher.com,laura.minafo@eclincher.com,The Review Rundown,,2022-09-29 15:25:00,,,,,,,G2
-414,Steve Henson,steve@hravatar.com,steve@hravatar.com,Review Tracking & Brand Building,,2022-09-29 15:13:20,,,,,,,G2
-415,Steve Henson,steve@hravatar.com,steve@hravatar.com,The Review Rundown,,2022-09-29 15:13:20,,,,,,,G2
-416,Steve Henson,steve@hravatar.com,steve@hravatar.com,Profile Performance & Lead Management,,2022-09-29 15:13:20,,,,,,,G2
-417,Steve Henson,steve@hravatar.com,steve@hravatar.com,G2 Profile Anatomy,20,2022-09-29 15:13:20,2022-09-29 15:15:07,,1,0%,,,G2
-418,Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,Review Tracking & Brand Building,,2022-09-29 15:00:54,,,,,,,G2
-419,Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,G2 Profile Anatomy,,2022-09-29 15:00:54,,,,,,,G2
-420,Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,Profile Performance & Lead Management,,2022-09-29 15:00:54,,,,,,,G2
-421,Amy Illingworth,amy.illingworth@exclaimer.com,amy.illingworth@exclaimer.com,The Review Rundown,,2022-09-29 15:00:54,,,,,,,G2
-422,Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,Profile Performance & Lead Management,,2022-09-29 14:57:00,,,,,,,G2
-423,Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,The Review Rundown,,2022-09-29 14:57:00,,,,,,,G2
-424,Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,Review Tracking & Brand Building,,2022-09-29 14:57:00,,,,,,,G2
-425,Brianna Weaver,brianna.weaver@callrail.com,brianna.weaver@callrail.com,G2 Profile Anatomy,,2022-09-29 14:57:00,,,,,,,G2
-426,Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,The Review Rundown,LIVE,2022-09-29 14:52:06,2022-09-29 14:54:43,,1,0%,,,G2
-427,Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,G2 Profile Anatomy,,2022-09-29 14:52:06,,,,,,,G2
-428,Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,Review Tracking & Brand Building,,2022-09-29 14:52:06,,,,,,,G2
-429,Riddhisha Patil,rpatil@pdftron.com,rpatil@pdftron.com,Profile Performance & Lead Management,,2022-09-29 14:52:06,,,,,,,G2
-430,Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Buyer Intent Basics,LIVE,2022-09-29 14:50:25,2022-10-04 14:39:19,,2,83%,Notifications,2022-10-04 17:51:24,G2
-431,Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Buyer Intent Basics,LIVE,2022-09-29 14:50:25,2022-09-29 14:50:26,2022-09-30 20:28:16,1,100%,Integrations,2022-09-30 20:28:16,G2
-432, Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,Profile Performance & Lead Management,,2022-09-29 14:49:48,,,,,,,G2
-433, Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,Review Tracking & Brand Building,,2022-09-29 14:49:48,,,,,,,G2
-434, Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,The Review Rundown,,2022-09-29 14:49:48,,,,,,,G2
-435, Adam Kasek,adam@thesalesfactory.co,adam@thesalesfactory.co,G2 Profile Anatomy,,2022-09-29 14:49:48,,,,,,,G2
-436,Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,Review Tracking & Brand Building,,2022-09-29 14:48:47,,,,,,,G2
-437,Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,Profile Performance & Lead Management,,2022-09-29 14:48:47,,,,,,,G2
-438,Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,G2 Profile Anatomy,LIVE,2022-09-29 14:48:47,2022-11-09 17:12:00,,2,10%,Seller Provided Content,2022-11-09 17:12:24,G2
-439,Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,The Review Rundown,,2022-09-29 14:48:47,,,,,,,G2
-440,Courtney Nigro,courtney.nigro@mineraltree.com,courtney.nigro@mineraltree.com,G2 Profile Anatomy,20,2022-09-29 14:48:47,2022-09-29 17:10:14,,1,0%,,,G2
-441,Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,Profile Performance & Lead Management,,2022-09-29 14:36:41,,,,,,,G2
-442,Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,Review Tracking & Brand Building,,2022-09-29 14:36:41,,,,,,,G2
-443,Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,G2 Profile Anatomy,,2022-09-29 14:36:41,,,,,,,G2
-444,Anto Sarmiento,anto@trackingtime.co,anto@trackingtime.co,The Review Rundown,,2022-09-29 14:36:41,,,,,,,G2
-445,Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,Profile Performance & Lead Management,LIVE,2022-09-29 14:29:33,2022-09-29 14:32:29,,1,0%,,,G2
-446,Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,The Review Rundown,LIVE,2022-09-29 14:29:33,2022-09-29 14:32:43,,1,0%,,,G2
-447,Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,Review Tracking & Brand Building,,2022-09-29 14:29:33,,,,,,,G2
-448,Belle Priosoetanto,belle.priosoetanto@meetingdecisions.com,belle.priosoetanto@meetingdecisions.com,G2 Profile Anatomy,,2022-09-29 14:29:33,,,,,,,G2
-449,Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,Profile Performance & Lead Management,,2022-09-29 14:23:21,,,,,,,G2
-450,Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,G2 Profile Anatomy,,2022-09-29 14:23:21,,,,,,,G2
-451,Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,Review Tracking & Brand Building,,2022-09-29 14:23:21,,,,,,,G2
-452,Emma Davis,emma.davis@optimizely.com,emma.davis@optimizely.com,The Review Rundown,,2022-09-29 14:23:21,,,,,,,G2
-453,Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,Profile Performance & Lead Management,,2022-09-29 14:14:42,,,,,,,G2
-454,Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,Review Tracking & Brand Building,,2022-09-29 14:14:42,,,,,,,G2
-455,Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,The Review Rundown,,2022-09-29 14:14:42,,,,,,,G2
-456,Andy Wamstad,andy.wamstad@contentstack.com,andy.wamstad@contentstack.com,G2 Profile Anatomy,,2022-09-29 14:14:42,,,,,,,G2
-457,Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,Profile Performance & Lead Management,,2022-09-29 14:12:38,,,,,,,G2
-458,Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,The Review Rundown,,2022-09-29 14:12:38,,,,,,,G2
-459,Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,Review Tracking & Brand Building,,2022-09-29 14:12:38,,,,,,,G2
-460,Susan Stone,susan.stone@sysdig.com,susan.stone@sysdig.com,G2 Profile Anatomy,,2022-09-29 14:12:38,,,,,,,G2
-461,Keven Farnworth,keven@bl.ink,keven@bl.ink,The Review Rundown,LIVE,2022-09-29 14:12:04,2022-11-10 18:26:37,2022-11-10 18:40:57,1,100%,Review Moderation,2022-11-10 18:40:58,G2
-462,Keven Farnworth,keven@bl.ink,keven@bl.ink,Review Tracking & Brand Building,,2022-09-29 14:12:04,,,,,,,G2
-463,Keven Farnworth,keven@bl.ink,keven@bl.ink,G2 Profile Anatomy,20,2022-09-29 14:12:04,2022-11-04 16:59:59,2022-11-04 17:06:07,1,100%,Top Tips Recap,2022-11-04 17:06:07,G2
-464,Keven Farnworth,keven@bl.ink,keven@bl.ink,Profile Performance & Lead Management,,2022-09-29 14:12:04,,,,,,,G2
-465,Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,The Review Rundown,,2022-09-29 14:11:19,,,,,,,G2
-466,Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,G2 Profile Anatomy,,2022-09-29 14:11:19,,,,,,,G2
-467,Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,Profile Performance & Lead Management,,2022-09-29 14:11:19,,,,,,,G2
-468,Makayla Adams,makayla.adams@dotcms.com,makayla.adams@dotcms.com,Review Tracking & Brand Building,,2022-09-29 14:11:19,,,,,,,G2
-469,Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,Review Tracking & Brand Building,,2022-09-29 14:07:01,,,,,,,G2
-470,Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,G2 Profile Anatomy,,2022-09-29 14:07:01,,,,,,,G2
-471,Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,Profile Performance & Lead Management,,2022-09-29 14:07:01,,,,,,,G2
-472,Stefania Chiaramoni,stefania.chiaramoni@ingogroup.it,stefania.chiaramoni@ingogroup.it,The Review Rundown,,2022-09-29 14:07:01,,,,,,,G2
-473,David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,The Review Rundown,,2022-09-29 14:06:08,,,,,,,G2
-474,David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,Review Tracking & Brand Building,,2022-09-29 14:06:08,,,,,,,G2
-475,David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,G2 Profile Anatomy,,2022-09-29 14:06:08,,,,,,,G2
-476,David Geffen,david.geffen@glassboxdigital.com,david.geffen@glassboxdigital.com,Profile Performance & Lead Management,,2022-09-29 14:06:08,,,,,,,G2
-477,Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,Review Tracking & Brand Building,,2022-09-29 13:56:10,,,,,,,G2
-478,Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,G2 Profile Anatomy,,2022-09-29 13:56:10,,,,,,,G2
-479,Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,The Review Rundown,,2022-09-29 13:56:10,,,,,,,G2
-480,Sara Vinell,sara.vinell@alvalabs.io,sara.vinell@alvalabs.io,Profile Performance & Lead Management,,2022-09-29 13:56:10,,,,,,,G2
-481,Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,Review Tracking & Brand Building,,2022-09-29 13:48:19,,,,,,,G2
-482,Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,Profile Performance & Lead Management,,2022-09-29 13:48:19,,,,,,,G2
-483,Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,G2 Profile Anatomy,,2022-09-29 13:48:19,,,,,,,G2
-484,Ken Inamori,ken.inamori@apparity.com,ken.inamori@apparity.com,The Review Rundown,,2022-09-29 13:48:19,,,,,,,G2
-485,Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,G2 Profile Anatomy,,2022-09-29 13:44:59,,,,,,,G2
-486,Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,Profile Performance & Lead Management,,2022-09-29 13:44:59,,,,,,,G2
-487,Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,The Review Rundown,,2022-09-29 13:44:59,,,,,,,G2
-488,Alyssa Vorhees,avorhees@paycor.com,avorhees@paycor.com,Review Tracking & Brand Building,,2022-09-29 13:44:59,,,,,,,G2
-489,Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,Review Tracking & Brand Building,,2022-09-29 13:20:58,,,,,,,G2
-490,Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,Profile Performance & Lead Management,,2022-09-29 13:20:58,,,,,,,G2
-491,Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,G2 Profile Anatomy,,2022-09-29 13:20:58,,,,,,,G2
-492,Alex Naumov,alex.naumov@vidyard.com,alex.naumov@vidyard.com,The Review Rundown,,2022-09-29 13:20:58,,,,,,,G2
-493,Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,G2 Profile Anatomy,20,2022-09-29 13:09:30,2022-11-02 09:44:59,,1,0%,,,G2
-494,Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,Review Tracking & Brand Building,,2022-09-29 13:09:30,,,,,,,G2
-495,Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,Profile Performance & Lead Management,,2022-09-29 13:09:30,,,,,,,G2
-496,Prathyusha Puvvada,prathyushapuvvada@targetg.in,prathyushapuvvada@targetg.in,The Review Rundown,,2022-09-29 13:09:30,,,,,,,G2
-497,Sabina Fox,sabina@survicate.com,sabina@survicate.com,Profile Performance & Lead Management,,2022-09-29 13:03:45,,,,,,,G2
-498,Sabina Fox,sabina@survicate.com,sabina@survicate.com,Review Tracking & Brand Building,,2022-09-29 13:03:45,,,,,,,G2
-499,Sabina Fox,sabina@survicate.com,sabina@survicate.com,The Review Rundown,,2022-09-29 13:03:45,,,,,,,G2
-500,Sabina Fox,sabina@survicate.com,sabina@survicate.com,G2 Profile Anatomy,,2022-09-29 13:03:45,,,,,,,G2
-501,Linda Zillen,linda@dbvis.com,linda@dbvis.com,Profile Performance & Lead Management,,2022-09-29 12:58:42,,,,,,,G2
-502,Linda Zillen,linda@dbvis.com,linda@dbvis.com,G2 Profile Anatomy,,2022-09-29 12:58:42,,,,,,,G2
-503,Linda Zillen,linda@dbvis.com,linda@dbvis.com,Review Tracking & Brand Building,,2022-09-29 12:58:42,,,,,,,G2
-504,Linda Zillen,linda@dbvis.com,linda@dbvis.com,The Review Rundown,,2022-09-29 12:58:42,,,,,,,G2
-505,Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,G2 Profile Anatomy,,2022-09-29 12:38:48,,,,,,,G2
-506,Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,The Review Rundown,,2022-09-29 12:38:48,,,,,,,G2
-507,Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,Review Tracking & Brand Building,,2022-09-29 12:38:48,,,,,,,G2
-508,Olivia Gracey,olivia.gracey@recruitee.com,olivia.gracey@recruitee.com,Profile Performance & Lead Management,LIVE,2022-09-29 12:38:48,2022-09-29 12:39:44,,1,0%,,,G2
-509,Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,Profile Performance & Lead Management,,2022-09-29 12:26:31,,,,,,,G2
-510,Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,G2 Profile Anatomy,,2022-09-29 12:26:31,,,,,,,G2
-511,Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,The Review Rundown,,2022-09-29 12:26:31,,,,,,,G2
-512,Kathleen Ryaboy,kryaboy@allego.com,kryaboy@allego.com,Review Tracking & Brand Building,,2022-09-29 12:26:31,,,,,,,G2
-513,Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,Review Tracking & Brand Building,,2022-09-29 12:19:48,,,,,,,G2
-514,Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,G2 Profile Anatomy,20,2022-09-29 12:19:48,2022-09-29 12:20:24,2022-09-29 12:25:46,1,100%,Top Tips Recap,2022-09-29 12:25:46,G2
-515,Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,The Review Rundown,LIVE,2022-09-29 12:19:48,2022-09-29 12:25:58,2022-09-29 12:34:54,1,100%,Review Moderation,2022-09-29 12:34:54,G2
-516,Shaylyn Tiano,stiano@workwave.com,stiano@workwave.com,Profile Performance & Lead Management,,2022-09-29 12:19:48,,,,,,,G2
-517,Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,Buyer Intent Basics,LIVE,2022-09-29 12:09:56,2022-09-29 12:09:57,,1,0%,,,G2
-518,Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,How to Use Buyer Intent,LIVE,2022-09-29 11:50:30,2022-09-29 11:50:31,,1,0%,,,G2
-519,Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,How to Use Buyer Intent,LIVE,2022-09-29 11:36:28,2022-09-29 11:36:29,,1,0%,,,G2
-520,Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,Review Tracking & Brand Building,,2022-09-29 11:34:59,,,,,,,G2
-521,Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,Profile Performance & Lead Management,LIVE,2022-09-29 11:34:59,2022-09-29 11:36:05,,1,0%,,,G2
-522,Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,G2 Profile Anatomy,,2022-09-29 11:34:59,,,,,,,G2
-523,Zappyhire Marketing,marketing@zappyhire.com,marketing@zappyhire.com,The Review Rundown,LIVE,2022-09-29 11:34:59,2022-09-30 11:21:22,,1,43%,Intro/4 Pillars,2022-09-30 11:27:31,G2
-524,Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,Profile Performance & Lead Management,,2022-09-29 11:30:31,,,,,,,G2
-525,Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,Review Tracking & Brand Building,,2022-09-29 11:30:31,,,,,,,G2
-526,Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,G2 Profile Anatomy,,2022-09-29 11:30:31,,,,,,,G2
-527,Srinivas Borra,srinivas.borra@kore.com,srinivas.borra@kore.com,The Review Rundown,,2022-09-29 11:30:31,,,,,,,G2
-528,Anya Gonzales,anya.g@miro.com,anya.g@miro.com,Profile Performance & Lead Management,,2022-09-29 10:52:35,,,,,,,G2
-529,Anya Gonzales,anya.g@miro.com,anya.g@miro.com,G2 Profile Anatomy,,2022-09-29 10:52:35,,,,,,,G2
-530,Anya Gonzales,anya.g@miro.com,anya.g@miro.com,The Review Rundown,,2022-09-29 10:52:35,,,,,,,G2
-531,Anya Gonzales,anya.g@miro.com,anya.g@miro.com,Review Tracking & Brand Building,,2022-09-29 10:52:35,,,,,,,G2
-532,Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,G2 Profile Anatomy,,2022-09-29 10:52:20,,,,,,,G2
-533,Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,The Review Rundown,,2022-09-29 10:52:20,,,,,,,G2
-534,Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,Review Tracking & Brand Building,,2022-09-29 10:52:20,,,,,,,G2
-535,Purna Bhuyarkar,pbhuyarkar@g2.com,pbhuyarkar@g2.com,Profile Performance & Lead Management,,2022-09-29 10:52:20,,,,,,,G2
-536,Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,The Review Rundown,,2022-09-29 10:51:46,,,,,,,G2
-537,Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,Review Tracking & Brand Building,LIVE,2022-09-29 10:51:46,2022-09-29 11:55:56,,1,0%,,,G2
-538,Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,G2 Profile Anatomy,,2022-09-29 10:51:46,,,,,,,G2
-539,Luigi's Box,marketing@luigisbox.com,marketing@luigisbox.com,Profile Performance & Lead Management,,2022-09-29 10:51:46,,,,,,,G2
-540,Ido Shapira,ido@chattermill.io,ido@chattermill.io,Review Tracking & Brand Building,,2022-09-29 10:46:48,,,,,,,G2
-541,Ido Shapira,ido@chattermill.io,ido@chattermill.io,The Review Rundown,,2022-09-29 10:46:48,,,,,,,G2
-542,Ido Shapira,ido@chattermill.io,ido@chattermill.io,G2 Profile Anatomy,,2022-09-29 10:46:48,,,,,,,G2
-543,Ido Shapira,ido@chattermill.io,ido@chattermill.io,Profile Performance & Lead Management,,2022-09-29 10:46:48,,,,,,,G2
-544,Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,Review Tracking & Brand Building,,2022-09-29 10:32:09,,,,,,,G2
-545,Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,The Review Rundown,LIVE,2022-09-29 10:32:09,2022-09-29 10:32:41,2022-09-29 10:50:14,1,100%,Review Moderation,2022-09-29 10:50:14,G2
-546,Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,Profile Performance & Lead Management,,2022-09-29 10:32:09,,,,,,,G2
-547,Sreekumar J,sreekumar@greytip.com,sreekumar@greytip.com,G2 Profile Anatomy,,2022-09-29 10:32:09,,,,,,,G2
-548,Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,The Review Rundown,,2022-09-29 10:29:08,,,,,,,G2
-549,Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,G2 Profile Anatomy,,2022-09-29 10:29:08,,,,,,,G2
-550,Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,Profile Performance & Lead Management,,2022-09-29 10:29:08,,,,,,,G2
-551,Luke Farrugia,luke.farrugia@screencloud.io,luke.farrugia@screencloud.io,Review Tracking & Brand Building,,2022-09-29 10:29:08,,,,,,,G2
-552,Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,Review Tracking & Brand Building,,2022-09-29 10:09:17,,,,,,,G2
-553,Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,Profile Performance & Lead Management,,2022-09-29 10:09:17,,,,,,,G2
-554,Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,G2 Profile Anatomy,20,2022-09-29 10:09:17,2022-09-29 10:09:27,2022-09-29 10:41:17,1,100%,Top Tips Recap,2022-09-29 10:41:17,G2
-555,Muayad Al Kayyali,muayad.kayyali@ujet.cx,muayad.kayyali@ujet.cx,The Review Rundown,,2022-09-29 10:09:17,,,,,,,G2
-556,Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,The Review Rundown,,2022-09-29 09:59:50,,,,,,,G2
-557,Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,Review Tracking & Brand Building,,2022-09-29 09:59:50,,,,,,,G2
-558,Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,G2 Profile Anatomy,,2022-09-29 09:59:50,,,,,,,G2
-559,Sunny Gupta,sunny.gupta@vamsglobal.com,sunny.gupta@vamsglobal.com,Profile Performance & Lead Management,,2022-09-29 09:59:50,,,,,,,G2
-560,Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,Review Tracking & Brand Building,,2022-09-29 09:54:55,,,,,,,G2
-561,Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,G2 Profile Anatomy,,2022-09-29 09:54:55,,,,,,,G2
-562,Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,Profile Performance & Lead Management,,2022-09-29 09:54:55,,,,,,,G2
-563,Ovidiu Mihai-Marginean,ovidiu.marginean@bannerflow.com,ovidiu.marginean@bannerflow.com,The Review Rundown,,2022-09-29 09:54:55,,,,,,,G2
-564,Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,Buyer Intent Basics,LIVE,2022-09-29 09:53:30,2022-09-29 09:53:30,,1,0%,,,G2
-565,Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,Review Tracking & Brand Building,,2022-09-29 09:51:57,,,,,,,G2
-566,Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,Profile Performance & Lead Management,,2022-09-29 09:51:57,,,,,,,G2
-567,Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,G2 Profile Anatomy,,2022-09-29 09:51:57,,,,,,,G2
-568,Ihor Zhabolenko,i.zhabolenko@influ2.com,i.zhabolenko@influ2.com,The Review Rundown,,2022-09-29 09:51:57,,,,,,,G2
-569,Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,Buyer Intent Basics,LIVE,2022-09-29 09:38:27,2022-09-29 09:38:28,2022-11-02 10:13:23,1,100%,What is Buyer Intent and why is it beneficial?,2022-11-02 10:13:23,G2
-570,Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,G2 Profile Anatomy,,2022-09-29 09:37:43,,,,,,,G2
-571,Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,Review Tracking & Brand Building,,2022-09-29 09:37:43,,,,,,,G2
-572,Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,The Review Rundown,,2022-09-29 09:37:43,,,,,,,G2
-573,Sunil Kumar G,sunilkumar.ramana@freshworks.com,sunilkumar.ramana@freshworks.com,Profile Performance & Lead Management,,2022-09-29 09:37:43,,,,,,,G2
-574,Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,Review Tracking & Brand Building,,2022-09-29 09:29:02,,,,,,,G2
-575,Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,G2 Profile Anatomy,,2022-09-29 09:29:02,,,,,,,G2
-576,Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,Profile Performance & Lead Management,,2022-09-29 09:29:02,,,,,,,G2
-577,Willow Littlewood,willow.littlewood@teamwork.com,willow.littlewood@teamwork.com,The Review Rundown,,2022-09-29 09:29:02,,,,,,,G2
-578,Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,Preparing for G2 Reports,LIVE,2022-09-29 09:13:53,2022-09-29 09:13:54,2022-09-29 09:36:41,1,100%,Results Index Criteria,2022-09-29 09:36:41,G2
-579,Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,G2 Profile Anatomy,,2022-09-29 09:04:35,,,,,,,G2
-580,Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,Profile Performance & Lead Management,,2022-09-29 09:04:35,,,,,,,G2
-581,Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,Review Tracking & Brand Building,,2022-09-29 09:04:35,,,,,,,G2
-582,Emily Neal,emilyn@dsmn8.com,emilyn@dsmn8.com,The Review Rundown,,2022-09-29 09:04:35,,,,,,,G2
-583,Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,The Review Rundown,,2022-09-29 08:54:37,,,,,,,G2
-584,Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,Review Tracking & Brand Building,,2022-09-29 08:54:37,,,,,,,G2
-585,Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,Profile Performance & Lead Management,LIVE,2022-09-29 08:54:37,2022-09-29 08:55:11,,1,0%,,,G2
-586,Anna Saakyan,anna.saakyan@userlane.com,anna.saakyan@userlane.com,G2 Profile Anatomy,20,2022-09-29 08:54:37,2022-09-29 08:55:43,,1,0%,,,G2
-587,Marina  Marochko,marina@precoro.com,marina@precoro.com,Profile Performance & Lead Management,,2022-09-29 08:53:19,,,,,,,G2
-588,Marina  Marochko,marina@precoro.com,marina@precoro.com,Review Tracking & Brand Building,,2022-09-29 08:53:19,,,,,,,G2
-589,Marina  Marochko,marina@precoro.com,marina@precoro.com,G2 Profile Anatomy,,2022-09-29 08:53:19,,,,,,,G2
-590,Marina  Marochko,marina@precoro.com,marina@precoro.com,The Review Rundown,,2022-09-29 08:53:19,,,,,,,G2
-591,Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,The Review Rundown,LIVE,2022-09-29 08:50:35,2022-10-20 10:05:56,,1,71%,Additional Review Generation Strategies,2022-10-20 12:42:43,G2
-592,Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,Profile Performance & Lead Management,,2022-09-29 08:50:35,,,,,,,G2
-593,Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,Review Tracking & Brand Building,,2022-09-29 08:50:35,,,,,,,G2
-594,Michele Smaldino,michele.smaldino@emplifi.io,michele.smaldino@emplifi.io,G2 Profile Anatomy,,2022-09-29 08:50:35,,,,,,,G2
-595,Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,Review Tracking & Brand Building,,2022-09-29 08:48:51,,,,,,,G2
-596,Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,Profile Performance & Lead Management,,2022-09-29 08:48:51,,,,,,,G2
-597,Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,The Review Rundown,,2022-09-29 08:48:51,,,,,,,G2
-598,Svetlana Savova,ssavova@vedamo.com,ssavova@vedamo.com,G2 Profile Anatomy,,2022-09-29 08:48:51,,,,,,,G2
-599,Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,Review Tracking & Brand Building,,2022-09-29 08:47:54,,,,,,,G2
-600,Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,The Review Rundown,,2022-09-29 08:47:54,,,,,,,G2
-601,Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,G2 Profile Anatomy,20,2022-09-29 08:47:54,2022-09-29 08:50:52,,1,17%,What is the Value of a G2 Profile?,2022-09-29 08:51:55,G2
-602,Michelle Meleskie,michelle@draper.ai,michelle@draper.ai,Profile Performance & Lead Management,,2022-09-29 08:47:54,,,,,,,G2
-603,Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,G2 Profile Anatomy,,2022-09-29 08:43:39,,,,,,,G2
-604,Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,Review Tracking & Brand Building,,2022-09-29 08:43:39,,,,,,,G2
-605,Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,The Review Rundown,,2022-09-29 08:43:39,,,,,,,G2
-606,Elise Doherty,elise.doherty@elucidat.com,elise.doherty@elucidat.com,Profile Performance & Lead Management,,2022-09-29 08:43:39,,,,,,,G2
-607,Sahana Swamy,sswamy@g2.com,sswamy@g2.com,Profile Performance & Lead Management,,2022-09-29 08:34:51,,,,,,,G2
-608,Sahana Swamy,sswamy@g2.com,sswamy@g2.com,The Review Rundown,,2022-09-29 08:34:51,,,,,,,G2
-609,Sahana Swamy,sswamy@g2.com,sswamy@g2.com,G2 Profile Anatomy,LIVE,2022-09-29 08:34:51,2022-11-18 10:35:10,,1,0%,,,G2
-610,Sahana Swamy,sswamy@g2.com,sswamy@g2.com,Review Tracking & Brand Building,LIVE,2022-09-29 08:34:51,2022-11-18 10:35:54,,1,14%,Marketing Content: Widgets,2022-11-18 10:36:27,G2
-611,Ran Brook,ranb@paragone.ai,ranb@paragone.ai,How to Use Buyer Intent,LIVE,2022-09-29 08:34:12,2022-09-29 08:34:13,,1,0%,,,G2
-612,Ran Brook,ranb@paragone.ai,ranb@paragone.ai,Profile Performance & Lead Management,,2022-09-29 08:32:58,,,,,,,G2
-613,Ran Brook,ranb@paragone.ai,ranb@paragone.ai,The Review Rundown,,2022-09-29 08:32:58,,,,,,,G2
-614,Ran Brook,ranb@paragone.ai,ranb@paragone.ai,G2 Profile Anatomy,,2022-09-29 08:32:58,,,,,,,G2
-615,Ran Brook,ranb@paragone.ai,ranb@paragone.ai,Review Tracking & Brand Building,,2022-09-29 08:32:58,,,,,,,G2
-616,Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,The Review Rundown,,2022-09-29 08:28:36,,,,,,,G2
-617,Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,G2 Profile Anatomy,,2022-09-29 08:28:36,,,,,,,G2
-618,Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,Review Tracking & Brand Building,,2022-09-29 08:28:36,,,,,,,G2
-619,Melissa Favre-Lorraine,mlorraine@xtm-intl.com,mlorraine@xtm-intl.com,Profile Performance & Lead Management,,2022-09-29 08:28:36,,,,,,,G2
-620,Puck Boekhout,puck@storyteq.com,puck@storyteq.com,The Review Rundown,,2022-09-29 08:27:47,,,,,,,G2
-621,Puck Boekhout,puck@storyteq.com,puck@storyteq.com,Profile Performance & Lead Management,,2022-09-29 08:27:47,,,,,,,G2
-622,Puck Boekhout,puck@storyteq.com,puck@storyteq.com,Review Tracking & Brand Building,,2022-09-29 08:27:47,,,,,,,G2
-623,Puck Boekhout,puck@storyteq.com,puck@storyteq.com,G2 Profile Anatomy,,2022-09-29 08:27:47,,,,,,,G2
-624,Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,Profile Performance & Lead Management,LIVE,2022-09-29 08:23:39,2022-10-06 10:48:20,,1,0%,,,G2
-625,Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,The Review Rundown,,2022-09-29 08:23:39,,,,,,,G2
-626,Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,Review Tracking & Brand Building,,2022-09-29 08:23:39,,,,,,,G2
-627,Marin Sabo,marin.sabo@optimoroute.com,marin.sabo@optimoroute.com,G2 Profile Anatomy,20,2022-09-29 08:23:39,2022-10-06 10:02:55,2022-10-06 10:47:34,1,100%,Top Tips Recap,2022-10-06 10:47:34,G2
-628,Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,Review Tracking & Brand Building,,2022-09-29 08:22:56,,,,,,,G2
-629,Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,G2 Profile Anatomy,,2022-09-29 08:22:56,,,,,,,G2
-630,Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,Profile Performance & Lead Management,,2022-09-29 08:22:56,,,,,,,G2
-631,Saivinai Cheithanya,saivinai@kissflow.com,saivinai@kissflow.com,The Review Rundown,,2022-09-29 08:22:56,,,,,,,G2
-632,Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,The Review Rundown,,2022-09-29 08:20:55,,,,,,,G2
-633,Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,Profile Performance & Lead Management,,2022-09-29 08:20:55,,,,,,,G2
-634,Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,G2 Profile Anatomy,,2022-09-29 08:20:55,,,,,,,G2
-635,Tom Schoorstra,tom.schoorstra@foleon.com,tom.schoorstra@foleon.com,Review Tracking & Brand Building,,2022-09-29 08:20:55,,,,,,,G2
-636,Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,The Review Rundown,,2022-09-29 08:20:28,,,,,,,G2
-637,Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,Review Tracking & Brand Building,,2022-09-29 08:20:28,,,,,,,G2
-638,Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,G2 Profile Anatomy,,2022-09-29 08:20:28,,,,,,,G2
-639,Joachim Molin,joachim.molin@trintech.com,joachim.molin@trintech.com,Profile Performance & Lead Management,,2022-09-29 08:20:28,,,,,,,G2
-640,Ben Savage,bsavage@g2.com,bsavage@g2.com,Review Tracking & Brand Building,,2022-09-29 08:18:17,,,,,,,G2
-641,Ben Savage,bsavage@g2.com,bsavage@g2.com,G2 Profile Anatomy,,2022-09-29 08:18:17,,,,,,,G2
-642,Ben Savage,bsavage@g2.com,bsavage@g2.com,The Review Rundown,,2022-09-29 08:18:17,,,,,,,G2
-643,Ben Savage,bsavage@g2.com,bsavage@g2.com,Profile Performance & Lead Management,,2022-09-29 08:18:17,,,,,,,G2
-644,Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,Profile Performance & Lead Management,,2022-09-29 08:15:24,,,,,,,G2
-645,Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,Review Tracking & Brand Building,,2022-09-29 08:15:24,,,,,,,G2
-646,Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,The Review Rundown,,2022-09-29 08:15:24,,,,,,,G2
-647,Lara Pieterse,lara.pieterse@smartlook.com,lara.pieterse@smartlook.com,G2 Profile Anatomy,,2022-09-29 08:15:24,,,,,,,G2
-648,Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,Profile Performance & Lead Management,,2022-09-29 08:11:00,,,,,,,G2
-649,Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,G2 Profile Anatomy,20,2022-09-29 08:11:00,2022-09-29 08:11:22,,1,0%,,,G2
-650,Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,The Review Rundown,,2022-09-29 08:11:00,,,,,,,G2
-651,Jarune Preiksaite,jarune.preiksaite@favro.com,jarune.preiksaite@favro.com,Review Tracking & Brand Building,,2022-09-29 08:11:00,,,,,,,G2
-652,Mila Savina,mila@precoro.com,mila@precoro.com,Profile Performance & Lead Management,,2022-09-29 08:10:15,,,,,,,G2
-653,Mila Savina,mila@precoro.com,mila@precoro.com,G2 Profile Anatomy,20,2022-09-29 08:10:15,2022-09-29 09:45:24,,1,0%,,,G2
-654,Mila Savina,mila@precoro.com,mila@precoro.com,Review Tracking & Brand Building,,2022-09-29 08:10:15,,,,,,,G2
-655,Mila Savina,mila@precoro.com,mila@precoro.com,The Review Rundown,,2022-09-29 08:10:15,,,,,,,G2
-656,Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,Review Tracking & Brand Building,LIVE,2022-09-29 08:09:46,2022-09-29 08:48:12,2022-09-29 08:54:36,1,100%,Review Integrations,2022-09-29 08:54:36,G2
-657,Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,The Review Rundown,LIVE,2022-09-29 08:09:46,2022-09-29 08:10:02,2022-09-29 08:47:59,1,100%,Review Moderation,2022-09-29 08:48:00,G2
-658,Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,Profile Performance & Lead Management,,2022-09-29 08:09:46,,,,,,,G2
-659,Katja Skafar,kskafar@stackoverflow.com,kskafar@stackoverflow.com,G2 Profile Anatomy,,2022-09-29 08:09:46,,,,,,,G2
-660,Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,How to Use Buyer Intent,LIVE,2022-09-29 08:08:20,2022-09-29 08:08:20,2022-09-29 08:53:58,1,100%,Buyer Intent Score Filter Recommendations,2022-09-29 08:53:58,G2
-661,Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,The Review Rundown,,2022-09-29 08:07:39,,,,,,,G2
-662,Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,Profile Performance & Lead Management,,2022-09-29 08:07:39,,,,,,,G2
-663,Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,G2 Profile Anatomy,,2022-09-29 08:07:39,,,,,,,G2
-664,Maria  Liuzzo,maria.liuzzo@veeam.com,maria.liuzzo@veeam.com,Review Tracking & Brand Building,,2022-09-29 08:07:39,,,,,,,G2
-665,Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,Review Tracking & Brand Building,,2022-09-29 08:07:21,,,,,,,G2
-666,Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,G2 Profile Anatomy,,2022-09-29 08:07:21,,,,,,,G2
-667,Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,Profile Performance & Lead Management,,2022-09-29 08:07:21,,,,,,,G2
-668,Robyn McGinn,rmcginn@scorebuddyqa.com,rmcginn@scorebuddyqa.com,The Review Rundown,,2022-09-29 08:07:21,,,,,,,G2
-669,Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,Profile Performance & Lead Management,,2022-09-29 08:05:58,,,,,,,G2
-670,Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,G2 Profile Anatomy,,2022-09-29 08:05:58,,,,,,,G2
-671,Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,Review Tracking & Brand Building,,2022-09-29 08:05:58,,,,,,,G2
-672,Mehmet Durmus,mehmet.durmus@memsource.com,mehmet.durmus@memsource.com,The Review Rundown,,2022-09-29 08:05:58,,,,,,,G2
-673,Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,Profile Performance & Lead Management,,2022-09-29 08:05:34,,,,,,,G2
-674,Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,The Review Rundown,,2022-09-29 08:05:34,,,,,,,G2
-675,Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,G2 Profile Anatomy,,2022-09-29 08:05:34,,,,,,,G2
-676,Marianna Cherniuk,marianna.cherniuk@beanworks.com,marianna.cherniuk@beanworks.com,Review Tracking & Brand Building,,2022-09-29 08:05:34,,,,,,,G2
-677,Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,G2 Profile Anatomy,,2022-09-29 08:05:11,,,,,,,G2
-678,Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,The Review Rundown,,2022-09-29 08:05:11,,,,,,,G2
-679,Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,Profile Performance & Lead Management,,2022-09-29 08:05:11,,,,,,,G2
-680,Neeraj Sharma,neeraj.sharma@expeditecommerce.com,neeraj.sharma@expeditecommerce.com,Review Tracking & Brand Building,,2022-09-29 08:05:11,,,,,,,G2
-681,Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,The Review Rundown,,2022-09-29 08:03:45,,,,,,,G2
-682,Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,Review Tracking & Brand Building,,2022-09-29 08:03:45,,,,,,,G2
-683,Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,G2 Profile Anatomy,,2022-09-29 08:03:45,,,,,,,G2
-684,Sophia Heybrock,soh@easytranslate.com,soh@easytranslate.com,Profile Performance & Lead Management,,2022-09-29 08:03:45,,,,,,,G2
-685,Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,Review Tracking & Brand Building,,2022-09-29 08:02:32,,,,,,,G2
-686,Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,The Review Rundown,,2022-09-29 08:02:32,,,,,,,G2
-687,Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,Profile Performance & Lead Management,,2022-09-29 08:02:32,,,,,,,G2
-688,Sophie Dodgson,sophie.dodgson@softco.com,sophie.dodgson@softco.com,G2 Profile Anatomy,20,2022-09-29 08:02:32,2022-09-29 08:02:45,,1,0%,,,G2
-689,Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,Buyer Intent Basics,LIVE,2022-09-29 07:58:46,2022-09-29 07:58:51,2022-09-29 08:07:51,1,100%,Integrations,2022-09-29 08:07:51,G2
-690,Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,Review Tracking & Brand Building,,2022-09-29 07:58:12,,,,,,,G2
-691,Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,The Review Rundown,,2022-09-29 07:58:12,,,,,,,G2
-692,Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,G2 Profile Anatomy,,2022-09-29 07:58:12,,,,,,,G2
-693,Kristina Schneider,kristina.schneider@userlane.com,kristina.schneider@userlane.com,Profile Performance & Lead Management,,2022-09-29 07:58:12,,,,,,,G2
-694,Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,The Review Rundown,,2022-09-29 07:54:56,,,,,,,G2
-695,Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,Review Tracking & Brand Building,,2022-09-29 07:54:56,,,,,,,G2
-696,Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,G2 Profile Anatomy,,2022-09-29 07:54:56,,,,,,,G2
-697,Krishna Goyal,krishna.goyal@wingify.com,krishna.goyal@wingify.com,Profile Performance & Lead Management,,2022-09-29 07:54:56,,,,,,,G2
-698,Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,Profile Performance & Lead Management,,2022-09-29 07:48:45,,,,,,,G2
-699,Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,Review Tracking & Brand Building,,2022-09-29 07:48:45,,,,,,,G2
-700,Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,The Review Rundown,,2022-09-29 07:48:45,,,,,,,G2
-701,Baptiste Fleury,baptiste.fleury@playplay.com,baptiste.fleury@playplay.com,G2 Profile Anatomy,,2022-09-29 07:48:45,,,,,,,G2
-702,Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,G2 Profile Anatomy,20,2022-09-29 07:46:00,2022-09-29 07:46:41,,1,0%,,,G2
-703,Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,Review Tracking & Brand Building,,2022-09-29 07:46:00,,,,,,,G2
-704,Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,The Review Rundown,,2022-09-29 07:46:00,,,,,,,G2
-705,Narendrasiva N,narendrasiva@usemultiplier.com,narendrasiva@usemultiplier.com,Profile Performance & Lead Management,,2022-09-29 07:46:00,,,,,,,G2
-706,Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,Review Tracking & Brand Building,,2022-09-29 07:34:23,,,,,,,G2
-707,Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,The Review Rundown,LIVE,2022-09-29 07:34:23,2022-09-29 07:34:56,2022-09-29 08:00:50,1,100%,Review Moderation,2022-09-29 08:00:50,G2
-708,Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,G2 Profile Anatomy,20,2022-09-29 07:34:23,2022-10-17 08:04:38,,1,17%,What is the Value of a G2 Profile?,2022-10-17 08:05:35,G2
-709,Leander Sodji,leander.sodji@synthesia.io,leander.sodji@synthesia.io,Profile Performance & Lead Management,,2022-09-29 07:34:23,,,,,,,G2
-710,Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,The Review Rundown,,2022-09-29 07:28:47,,,,,,,G2
-711,Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,Profile Performance & Lead Management,,2022-09-29 07:28:47,,,,,,,G2
-712,Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,Review Tracking & Brand Building,,2022-09-29 07:28:47,,,,,,,G2
-713,Julie Quintard,julie.quintard@didomi.io,julie.quintard@didomi.io,G2 Profile Anatomy,20,2022-09-29 07:28:47,2022-09-29 07:29:17,,1,0%,,,G2
-714,Ashley Duncan,ashley@plytix.com,ashley@plytix.com,G2 Profile Anatomy,,2022-09-29 07:17:57,,,,,,,G2
-715,Ashley Duncan,ashley@plytix.com,ashley@plytix.com,Review Tracking & Brand Building,,2022-09-29 07:17:57,,,,,,,G2
-716,Ashley Duncan,ashley@plytix.com,ashley@plytix.com,The Review Rundown,,2022-09-29 07:17:57,,,,,,,G2
-717,Ashley Duncan,ashley@plytix.com,ashley@plytix.com,Profile Performance & Lead Management,,2022-09-29 07:17:57,,,,,,,G2
-718,Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,G2 Profile Anatomy,20,2022-09-29 07:15:17,2022-09-29 07:15:26,,1,0%,,,G2
-719,Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,Review Tracking & Brand Building,,2022-09-29 07:15:17,,,,,,,G2
-720,Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,The Review Rundown,,2022-09-29 07:15:17,,,,,,,G2
-721,Yoan Kostadinov,ydk@keepit.com,ydk@keepit.com,Profile Performance & Lead Management,,2022-09-29 07:15:17,,,,,,,G2
-722,Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,How to Respond to Reviews,LIVE,2022-09-29 07:14:14,2022-09-29 07:14:19,,1,0%,,,G2
-723,Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,Review Tracking & Brand Building,,2022-09-29 07:13:04,,,,,,,G2
-724,Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,Profile Performance & Lead Management,,2022-09-29 07:13:04,,,,,,,G2
-725,Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,G2 Profile Anatomy,,2022-09-29 07:13:04,,,,,,,G2
-726,Federica Macri,federica.macri@lokalise.com,federica.macri@lokalise.com,The Review Rundown,,2022-09-29 07:13:04,,,,,,,G2
-727,Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,Buyer Intent Basics,LIVE,2022-09-29 07:11:56,2022-09-29 07:11:56,,1,0%,,,G2
-728,Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,The Review Rundown,,2022-09-29 07:11:19,,,,,,,G2
-729,Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,Review Tracking & Brand Building,,2022-09-29 07:11:19,,,,,,,G2
-730,Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,G2 Profile Anatomy,,2022-09-29 07:11:19,,,,,,,G2
-731,Natasha Vasileva,natasha.vasileva@anecdotes.ai,natasha.vasileva@anecdotes.ai,Profile Performance & Lead Management,,2022-09-29 07:11:19,,,,,,,G2
-732,Nir Geninson,nir@reblaze.com,nir@reblaze.com,Review Tracking & Brand Building,,2022-09-29 07:09:45,,,,,,,G2
-733,Nir Geninson,nir@reblaze.com,nir@reblaze.com,G2 Profile Anatomy,,2022-09-29 07:09:45,,,,,,,G2
-734,Nir Geninson,nir@reblaze.com,nir@reblaze.com,The Review Rundown,,2022-09-29 07:09:45,,,,,,,G2
-735,Nir Geninson,nir@reblaze.com,nir@reblaze.com,Profile Performance & Lead Management,,2022-09-29 07:09:45,,,,,,,G2
-736,Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,Profile Performance & Lead Management,,2022-09-29 07:01:13,,,,,,,G2
-737,Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,The Review Rundown,,2022-09-29 07:01:13,,,,,,,G2
-738,Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,Review Tracking & Brand Building,,2022-09-29 07:01:13,,,,,,,G2
-739,Bruno Lyard,bruno.lyard@saleslayer.com,bruno.lyard@saleslayer.com,G2 Profile Anatomy,,2022-09-29 07:01:13,,,,,,,G2
-740,Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,The Review Rundown,,2022-09-29 06:58:47,,,,,,,G2
-741,Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,Review Tracking & Brand Building,,2022-09-29 06:58:47,,,,,,,G2
-742,Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,Profile Performance & Lead Management,,2022-09-29 06:58:47,,,,,,,G2
-743,Taylor Hollingsworth,t.hollingsworth@speexx.com,t.hollingsworth@speexx.com,G2 Profile Anatomy,,2022-09-29 06:58:47,,,,,,,G2
-744,Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,The Review Rundown,,2022-09-29 06:58:23,,,,,,,G2
-745,Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,Review Tracking & Brand Building,,2022-09-29 06:58:23,,,,,,,G2
-746,Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,G2 Profile Anatomy,20,2022-09-29 06:58:23,2022-09-29 08:42:01,,1,0%,,,G2
-747,Tatiana Obeid,tatiana.obeid@jobdiva.com,tatiana.obeid@jobdiva.com,Profile Performance & Lead Management,,2022-09-29 06:58:23,,,,,,,G2
-748,David Krutonog,davidk@the-juno.com,davidk@the-juno.com,The Review Rundown,LIVE,2022-09-29 06:57:37,2022-09-29 06:58:27,,1,0%,,,G2
-749,David Krutonog,davidk@the-juno.com,davidk@the-juno.com,Profile Performance & Lead Management,,2022-09-29 06:57:37,,,,,,,G2
-750,David Krutonog,davidk@the-juno.com,davidk@the-juno.com,Review Tracking & Brand Building,LIVE,2022-09-29 06:57:37,2022-09-29 06:58:09,,1,0%,,,G2
-751,David Krutonog,davidk@the-juno.com,davidk@the-juno.com,G2 Profile Anatomy,20,2022-09-29 06:57:37,2022-09-29 06:58:31,,1,0%,,,G2
-752,Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,Profile Performance & Lead Management,,2022-09-29 06:52:04,,,,,,,G2
-753,Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,G2 Profile Anatomy,,2022-09-29 06:52:04,,,,,,,G2
-754,Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,The Review Rundown,,2022-09-29 06:52:04,,,,,,,G2
-755,Frederik R. Pedersen,frp@easytranslate.com,frp@easytranslate.com,Review Tracking & Brand Building,,2022-09-29 06:52:04,,,,,,,G2
-756,Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,Review Tracking & Brand Building,,2022-09-29 06:51:22,,,,,,,G2
-757,Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,The Review Rundown,,2022-09-29 06:51:22,,,,,,,G2
-758,Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,Profile Performance & Lead Management,,2022-09-29 06:51:22,,,,,,,G2
-759,Volodymyr Znizhko,volodymyr.znizhko@starwind.com,volodymyr.znizhko@starwind.com,G2 Profile Anatomy,,2022-09-29 06:51:22,,,,,,,G2
-760,Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,Profile Performance & Lead Management,LIVE,2022-09-29 06:47:15,2022-10-27 14:42:41,,1,25%,Getting to Know the my.G2 Homepage,2022-10-27 14:44:07,G2
-761,Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,G2 Profile Anatomy,20,2022-09-29 06:47:15,2022-09-29 06:47:26,,1,0%,,,G2
-762,Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,Review Tracking & Brand Building,,2022-09-29 06:47:15,,,,,,,G2
-763,Simeon Atkins,simeon.atkins@mention-me.com,simeon.atkins@mention-me.com,The Review Rundown,LIVE,2022-09-29 06:47:15,2022-10-27 14:31:46,2022-10-27 14:37:47,1,100%,Review Moderation,2022-10-27 14:37:48,G2
-764,KP Akash,akash@helpshift.com,akash@helpshift.com,Review Tracking & Brand Building,,2022-09-29 06:45:31,,,,,,,G2
-765,KP Akash,akash@helpshift.com,akash@helpshift.com,The Review Rundown,,2022-09-29 06:45:31,,,,,,,G2
-766,KP Akash,akash@helpshift.com,akash@helpshift.com,Profile Performance & Lead Management,,2022-09-29 06:45:31,,,,,,,G2
-767,KP Akash,akash@helpshift.com,akash@helpshift.com,G2 Profile Anatomy,,2022-09-29 06:45:31,,,,,,,G2
-768,Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,Profile Performance & Lead Management,,2022-09-29 06:44:31,,,,,,,G2
-769,Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,G2 Profile Anatomy,,2022-09-29 06:44:31,,,,,,,G2
-770,Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,Review Tracking & Brand Building,,2022-09-29 06:44:31,,,,,,,G2
-771,Kutay Yalçınkaya,kutay@appsamurai.com,kutay@appsamurai.com,The Review Rundown,,2022-09-29 06:44:31,,,,,,,G2
-772,Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,What is the G2 Content Subscription?,LIVE,2022-09-29 06:43:39,2022-09-29 06:43:40,,1,33%,Grid Reports,2022-09-29 07:16:50,G2
-773,Tereza Blechová,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,G2 Profile Anatomy,,2022-09-29 06:40:54,,,,,,,G2
-774,Tereza Blechová,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,Review Tracking & Brand Building,,2022-09-29 06:40:54,,,,,,,G2
-775,Tereza Blechová,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,The Review Rundown,,2022-09-29 06:40:54,,,,,,,G2
-776,Tereza Blechová,tereza.blechova@smartlook.com,tereza.blechova@smartlook.com,Profile Performance & Lead Management,,2022-09-29 06:40:54,,,,,,,G2
-777,Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,The Review Rundown,,2022-09-29 06:39:56,,,,,,,G2
-778,Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,G2 Profile Anatomy,,2022-09-29 06:39:56,,,,,,,G2
-779,Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,Review Tracking & Brand Building,,2022-09-29 06:39:56,,,,,,,G2
-780,Ipshita Bhat,ipshita.bhat@highradius.com,ipshita.bhat@highradius.com,Profile Performance & Lead Management,,2022-09-29 06:39:56,,,,,,,G2
-781,Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,The Review Rundown,,2022-09-29 06:36:25,,,,,,,G2
-782,Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,Review Tracking & Brand Building,,2022-09-29 06:36:25,,,,,,,G2
-783,Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,Profile Performance & Lead Management,LIVE,2022-09-29 06:36:25,2022-09-29 06:53:45,,1,38%,Profile Activity Page Overview,2022-09-29 06:57:44,G2
-784,Tatiana Mihalyova,tatiana.mihalyova@eset.com,tatiana.mihalyova@eset.com,G2 Profile Anatomy,20,2022-09-29 06:36:25,2022-09-29 06:36:37,2022-09-29 06:53:16,1,100%,Top Tips Recap,2022-09-29 06:53:17,G2
-785,Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,Review Tracking & Brand Building,,2022-09-29 06:32:43,,,,,,,G2
-786,Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,G2 Profile Anatomy,,2022-09-29 06:32:43,,,,,,,G2
-787,Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,The Review Rundown,,2022-09-29 06:32:43,,,,,,,G2
-788,Tomar van Dijk,tomar@getmarvia.com,tomar@getmarvia.com,Profile Performance & Lead Management,,2022-09-29 06:32:43,,,,,,,G2
-789,Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,Review Tracking & Brand Building,LIVE,2022-09-29 06:30:01,2022-10-28 09:13:09,2022-10-28 09:14:58,1,100%,Review Integrations,2022-10-28 09:14:59,G2
-790,Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,G2 Profile Anatomy,20,2022-09-29 06:30:01,2022-10-12 11:05:23,2022-10-19 11:31:13,1,100%,Top Tips Recap,2022-10-19 11:31:13,G2
-791,Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,Profile Performance & Lead Management,LIVE,2022-09-29 06:30:01,2022-10-13 14:01:49,2022-10-28 09:21:47,1,100%,Measuring Profile Performance,2022-10-28 09:21:47,G2
-792,Ceren Yuksel,ceren.yuksel@compport.com,ceren.yuksel@compport.com,The Review Rundown,LIVE,2022-09-29 06:30:01,2022-10-28 09:07:06,2022-10-28 09:12:51,1,100%,Review Moderation,2022-10-28 09:12:51,G2
-793,Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,Review Tracking & Brand Building,,2022-09-29 06:29:42,,,,,,,G2
-794,Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,Profile Performance & Lead Management,,2022-09-29 06:29:42,,,,,,,G2
-795,Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,The Review Rundown,,2022-09-29 06:29:42,,,,,,,G2
-796,Niels Laursen,ncl@umbraco.com,ncl@umbraco.com,G2 Profile Anatomy,,2022-09-29 06:29:42,,,,,,,G2
-797,Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,Profile Performance & Lead Management,,2022-09-29 06:29:34,,,,,,,G2
-798,Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,G2 Profile Anatomy,,2022-09-29 06:29:34,,,,,,,G2
-799,Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,Review Tracking & Brand Building,,2022-09-29 06:29:34,,,,,,,G2
-800,Shihan Condagamage,shihan@wso2.com,shihan@wso2.com,The Review Rundown,,2022-09-29 06:29:34,,,,,,,G2
-801,Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,Review Tracking & Brand Building,,2022-09-29 06:27:15,,,,,,,G2
-802,Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,The Review Rundown,,2022-09-29 06:27:15,,,,,,,G2
-803,Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,G2 Profile Anatomy,,2022-09-29 06:27:15,,,,,,,G2
-804,Anna Gosheva,agosheva@vedamo.com,agosheva@vedamo.com,Profile Performance & Lead Management,,2022-09-29 06:27:15,,,,,,,G2
-805,Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,The Review Rundown,,2022-09-29 06:24:40,,,,,,,G2
-806,Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,Profile Performance & Lead Management,,2022-09-29 06:24:40,,,,,,,G2
-807,Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,G2 Profile Anatomy,,2022-09-29 06:24:40,,,,,,,G2
-808,Agathe  Glatz,agathe.glatz@ninox.com,agathe.glatz@ninox.com,Review Tracking & Brand Building,,2022-09-29 06:24:40,,,,,,,G2
-809,Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,G2 Profile Anatomy,,2022-09-29 06:06:56,,,,,,,G2
-810,Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,The Review Rundown,,2022-09-29 06:06:56,,,,,,,G2
-811,Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,Profile Performance & Lead Management,,2022-09-29 06:06:56,,,,,,,G2
-812,Andrej Hyben,ahyben@denevy.eu,ahyben@denevy.eu,Review Tracking & Brand Building,,2022-09-29 06:06:56,,,,,,,G2
-813,Mohd Saif,msaif@g2.com,msaif@g2.com,Profile Performance & Lead Management,,2022-09-29 06:03:16,,,,,,,G2
-814,Mohd Saif,msaif@g2.com,msaif@g2.com,The Review Rundown,,2022-09-29 06:03:16,,,,,,,G2
-815,Mohd Saif,msaif@g2.com,msaif@g2.com,Review Tracking & Brand Building,,2022-09-29 06:03:16,,,,,,,G2
-816,Mohd Saif,msaif@g2.com,msaif@g2.com,G2 Profile Anatomy,,2022-09-29 06:03:16,,,,,,,G2
-817,Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,G2 Profile Anatomy,,2022-09-29 05:58:56,,,,,,,G2
-818,Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,Review Tracking & Brand Building,,2022-09-29 05:58:56,,,,,,,G2
-819,Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,Profile Performance & Lead Management,,2022-09-29 05:58:56,,,,,,,G2
-820,Cansın Erdinç,cansin@intenseye.com,cansin@intenseye.com,The Review Rundown,,2022-09-29 05:58:56,,,,,,,G2
-821,Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,Review Tracking & Brand Building,,2022-09-29 05:45:45,,,,,,,G2
-822,Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,G2 Profile Anatomy,,2022-09-29 05:45:45,,,,,,,G2
-823,Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,The Review Rundown,,2022-09-29 05:45:45,,,,,,,G2
-824,Tobias Blick,t.blick@shopware.com,t.blick@shopware.com,Profile Performance & Lead Management,,2022-09-29 05:45:45,,,,,,,G2
-825,Anu Chadha,achadha@g2.com,achadha@g2.com,Profile Performance & Lead Management,,2022-09-29 05:40:40,,,,,,,G2
-826,Anu Chadha,achadha@g2.com,achadha@g2.com,Review Tracking & Brand Building,,2022-09-29 05:40:40,,,,,,,G2
-827,Anu Chadha,achadha@g2.com,achadha@g2.com,The Review Rundown,,2022-09-29 05:40:40,,,,,,,G2
-828,Anu Chadha,achadha@g2.com,achadha@g2.com,G2 Profile Anatomy,,2022-09-29 05:40:40,,,,,,,G2
-829,Aravind Raj T,araj@g2.com,araj@g2.com,G2 Profile Anatomy,,2022-09-29 05:34:17,,,,,,,G2
-830,Aravind Raj T,araj@g2.com,araj@g2.com,Review Tracking & Brand Building,,2022-09-29 05:34:17,,,,,,,G2
-831,Aravind Raj T,araj@g2.com,araj@g2.com,Profile Performance & Lead Management,,2022-09-29 05:34:17,,,,,,,G2
-832,Aravind Raj T,araj@g2.com,araj@g2.com,The Review Rundown,,2022-09-29 05:34:17,,,,,,,G2
-833,Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,The Review Rundown,,2022-09-29 05:31:50,,,,,,,G2
-834,Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,Profile Performance & Lead Management,,2022-09-29 05:31:50,,,,,,,G2
-835,Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,Review Tracking & Brand Building,,2022-09-29 05:31:50,,,,,,,G2
-836,Karan Singh,karan.singh@vamsglobal.com,karan.singh@vamsglobal.com,G2 Profile Anatomy,LIVE,2022-09-29 05:31:50,2022-11-14 10:57:23,,1,0%,,,G2
-837,Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,The Review Rundown,,2022-09-29 05:28:44,,,,,,,G2
-838,Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,G2 Profile Anatomy,,2022-09-29 05:28:44,,,,,,,G2
-839,Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,Profile Performance & Lead Management,,2022-09-29 05:28:44,,,,,,,G2
-840,Savo Vujovic,savo.vujovic@incsub.com,savo.vujovic@incsub.com,Review Tracking & Brand Building,,2022-09-29 05:28:44,,,,,,,G2
-841,Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,Review Tracking & Brand Building,,2022-09-29 05:26:14,,,,,,,G2
-842,Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,G2 Profile Anatomy,,2022-09-29 05:26:14,,,,,,,G2
-843,Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,The Review Rundown,,2022-09-29 05:26:14,,,,,,,G2
-844,Chirag Parmar,chirag.parmar@webengage.com,chirag.parmar@webengage.com,Profile Performance & Lead Management,,2022-09-29 05:26:14,,,,,,,G2
-845,Social Media,social@nextbillion.ai,social@nextbillion.ai,Profile Performance & Lead Management,,2022-09-29 05:22:24,,,,,,,G2
-846,Social Media,social@nextbillion.ai,social@nextbillion.ai,The Review Rundown,,2022-09-29 05:22:24,,,,,,,G2
-847,Social Media,social@nextbillion.ai,social@nextbillion.ai,Review Tracking & Brand Building,,2022-09-29 05:22:24,,,,,,,G2
-848,Social Media,social@nextbillion.ai,social@nextbillion.ai,G2 Profile Anatomy,,2022-09-29 05:22:24,,,,,,,G2
-849,Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,The Review Rundown,,2022-09-29 05:21:31,,,,,,,G2
-850,Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,Profile Performance & Lead Management,,2022-09-29 05:21:31,,,,,,,G2
-851,Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,Review Tracking & Brand Building,,2022-09-29 05:21:31,,,,,,,G2
-852,Asaf Bernstein,asaf.bernstein@dealhub.io,asaf.bernstein@dealhub.io,G2 Profile Anatomy,,2022-09-29 05:21:31,,,,,,,G2
-853,Casey Krebs,casey@apollo.io,casey@apollo.io,Profile Performance & Lead Management,,2022-09-29 05:14:35,,,,,,,G2
-854,Casey Krebs,casey@apollo.io,casey@apollo.io,G2 Profile Anatomy,,2022-09-29 05:14:35,,,,,,,G2
-855,Casey Krebs,casey@apollo.io,casey@apollo.io,Review Tracking & Brand Building,,2022-09-29 05:14:35,,,,,,,G2
-856,Casey Krebs,casey@apollo.io,casey@apollo.io,The Review Rundown,,2022-09-29 05:14:35,,,,,,,G2
-857,Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,The Review Rundown,,2022-09-29 04:53:00,,,,,,,G2
-858,Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,Profile Performance & Lead Management,,2022-09-29 04:53:00,,,,,,,G2
-859,Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,Review Tracking & Brand Building,,2022-09-29 04:53:00,,,,,,,G2
-860,Mallikharjun Rao,mallikharjunarao.p@sstsinc.com,mallikharjunarao.p@sstsinc.com,G2 Profile Anatomy,,2022-09-29 04:53:00,,,,,,,G2
-861,Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,Profile Performance & Lead Management,,2022-09-29 04:28:39,,,,,,,G2
-862,Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,G2 Profile Anatomy,,2022-09-29 04:28:39,,,,,,,G2
-863,Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,Review Tracking & Brand Building,,2022-09-29 04:28:39,,,,,,,G2
-864,Jovial Jewel Chakma,jchakma@g2.com,jchakma@g2.com,The Review Rundown,,2022-09-29 04:28:39,,,,,,,G2
-865,Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,G2 Profile Anatomy,,2022-09-29 03:56:56,,,,,,,G2
-866,Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,Profile Performance & Lead Management,,2022-09-29 03:56:56,,,,,,,G2
-867,Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,Review Tracking & Brand Building,LIVE,2022-09-29 03:56:56,2022-09-29 04:30:44,,1,0%,,,G2
-868,Badger Maps,marketing@badgermapping.com,marketing@badgermapping.com,The Review Rundown,,2022-09-29 03:56:56,,,,,,,G2
-869,Marketing  Team,marketing@trica.co,marketing@trica.co,The Review Rundown,,2022-09-29 03:44:52,,,,,,,G2
-870,Marketing  Team,marketing@trica.co,marketing@trica.co,Review Tracking & Brand Building,,2022-09-29 03:44:52,,,,,,,G2
-871,Marketing  Team,marketing@trica.co,marketing@trica.co,Profile Performance & Lead Management,,2022-09-29 03:44:52,,,,,,,G2
-872,Marketing  Team,marketing@trica.co,marketing@trica.co,G2 Profile Anatomy,,2022-09-29 03:44:52,,,,,,,G2
-873,Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,Profile Performance & Lead Management,,2022-09-29 03:38:32,,,,,,,G2
-874,Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,The Review Rundown,,2022-09-29 03:38:32,,,,,,,G2
-875,Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,G2 Profile Anatomy,20,2022-09-29 03:38:32,2022-09-29 03:38:54,,1,0%,,,G2
-876,Prashant Yadav,prashant@onehash.ai,prashant@onehash.ai,Review Tracking & Brand Building,,2022-09-29 03:38:32,,,,,,,G2
-877,Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,The Review Rundown,,2022-09-29 02:26:59,,,,,,,G2
-878,Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,Profile Performance & Lead Management,,2022-09-29 02:26:59,,,,,,,G2
-879,Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,Review Tracking & Brand Building,,2022-09-29 02:26:59,,,,,,,G2
-880,Han Yun Chua,hanyun.chua@workato.com,hanyun.chua@workato.com,G2 Profile Anatomy,,2022-09-29 02:26:59,,,,,,,G2
-881,Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,Profile Performance & Lead Management,,2022-09-29 02:03:17,,,,,,,G2
-882,Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,G2 Profile Anatomy,,2022-09-29 02:03:17,,,,,,,G2
-883,Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,Review Tracking & Brand Building,,2022-09-29 02:03:17,,,,,,,G2
-884,Lachlan Brown,lachlan@ortto.com,lachlan@ortto.com,The Review Rundown,,2022-09-29 02:03:17,,,,,,,G2
-885,Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,How to Use Buyer Intent,LIVE,2022-09-29 01:49:48,2022-09-29 01:49:48,,1,0%,,,G2
-886,Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,The Review Rundown,,2022-09-29 01:49:01,,,,,,,G2
-887,Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,Review Tracking & Brand Building,,2022-09-29 01:49:01,,,,,,,G2
-888,Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,Profile Performance & Lead Management,,2022-09-29 01:49:01,,,,,,,G2
-889,Iris Chen,chenxiaotong@zwcad.com,chenxiaotong@zwcad.com,G2 Profile Anatomy,,2022-09-29 01:49:01,,,,,,,G2
-890,Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,The Review Rundown,,2022-09-29 00:54:00,,,,,,,G2
-891,Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,G2 Profile Anatomy,,2022-09-29 00:54:00,,,,,,,G2
-892,Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,Profile Performance & Lead Management,,2022-09-29 00:54:00,,,,,,,G2
-893,Anthony Fusco,anthonyf@smartdraw.com,anthonyf@smartdraw.com,Review Tracking & Brand Building,,2022-09-29 00:54:00,,,,,,,G2
-894,Splose Support,support@splose.com,support@splose.com,Profile Performance & Lead Management,,2022-09-29 00:39:05,,,,,,,G2
-895,Splose Support,support@splose.com,support@splose.com,Review Tracking & Brand Building,,2022-09-29 00:39:05,,,,,,,G2
-896,Splose Support,support@splose.com,support@splose.com,The Review Rundown,,2022-09-29 00:39:05,,,,,,,G2
-897,Splose Support,support@splose.com,support@splose.com,G2 Profile Anatomy,20,2022-09-29 00:39:05,2022-09-29 00:39:16,,1,0%,,,G2
-898,Rach Charboneau,rachel@boardable.com,rachel@boardable.com,Review Tracking & Brand Building,,2022-09-29 00:09:14,,,,,,,G2
-899,Rach Charboneau,rachel@boardable.com,rachel@boardable.com,The Review Rundown,,2022-09-29 00:09:14,,,,,,,G2
-900,Rach Charboneau,rachel@boardable.com,rachel@boardable.com,Profile Performance & Lead Management,,2022-09-29 00:09:14,,,,,,,G2
-901,Rach Charboneau,rachel@boardable.com,rachel@boardable.com,G2 Profile Anatomy,,2022-09-29 00:09:14,,,,,,,G2
-902,Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,G2 Profile Anatomy,,2022-09-28 23:56:02,,,,,,,G2
-903,Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,The Review Rundown,,2022-09-28 23:56:02,,,,,,,G2
-904,Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,Profile Performance & Lead Management,,2022-09-28 23:56:02,,,,,,,G2
-905,Austin  Stricker ,austin.stricker@smartsheet.com,austin.stricker@smartsheet.com,Review Tracking & Brand Building,,2022-09-28 23:56:02,,,,,,,G2
-906,Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,G2 Profile Anatomy,,2022-09-28 23:27:43,,,,,,,G2
-907,Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,The Review Rundown,,2022-09-28 23:27:43,,,,,,,G2
-908,Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,Review Tracking & Brand Building,,2022-09-28 23:27:43,,,,,,,G2
-909,Jennifer Holmes,jholmes@globalization-partners.com,jholmes@globalization-partners.com,Profile Performance & Lead Management,,2022-09-28 23:27:43,,,,,,,G2
-910,Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,The Review Rundown,,2022-09-28 23:19:46,,,,,,,G2
-911,Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,G2 Profile Anatomy,,2022-09-28 23:19:46,,,,,,,G2
-912,Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,Review Tracking & Brand Building,,2022-09-28 23:19:46,,,,,,,G2
-913,Ops PackageCloud,ops@packagecloud.io,ops@packagecloud.io,Profile Performance & Lead Management,,2022-09-28 23:19:46,,,,,,,G2
-914,Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,How to Use Buyer Intent,LIVE,2022-09-28 22:51:21,2022-09-28 22:51:21,2022-09-28 23:29:25,1,100%,Buyer Intent Score Filter Recommendations,2022-09-28 23:29:25,G2
-915,Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,The Review Rundown,,2022-09-28 22:43:40,,,,,,,G2
-916,Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,Review Tracking & Brand Building,,2022-09-28 22:43:40,,,,,,,G2
-917,Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,Profile Performance & Lead Management,,2022-09-28 22:43:40,,,,,,,G2
-918,Mellisa Ooi,mellisa.ooi@intellihr.com,mellisa.ooi@intellihr.com,G2 Profile Anatomy,,2022-09-28 22:43:40,,,,,,,G2
-919,Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,The Review Rundown,,2022-09-28 22:42:22,,,,,,,G2
-920,Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,G2 Profile Anatomy,,2022-09-28 22:42:22,,,,,,,G2
-921,Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,Review Tracking & Brand Building,,2022-09-28 22:42:22,,,,,,,G2
-922,Chloe Schneider,chloe@autopilotapp.com,chloe@autopilotapp.com,Profile Performance & Lead Management,,2022-09-28 22:42:22,,,,,,,G2
-923,Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,Buyer Intent Basics,LIVE,2022-09-28 22:30:12,2022-09-28 22:30:12,2022-09-28 22:50:39,1,100%,Integrations,2022-09-28 22:50:39,G2
-924,Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,G2 Profile Anatomy,,2022-09-28 22:28:01,,,,,,,G2
-925,Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,Profile Performance & Lead Management,,2022-09-28 22:28:01,,,,,,,G2
-926,Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,The Review Rundown,,2022-09-28 22:28:01,,,,,,,G2
-927,Chelsey Wyatt,chelsey.wyatt@podium.com,chelsey.wyatt@podium.com,Review Tracking & Brand Building,,2022-09-28 22:28:01,,,,,,,G2
-928,Missy  Stockton,missy@gettactic.com,missy@gettactic.com,The Review Rundown,,2022-09-28 22:11:56,,,,,,,G2
-929,Missy  Stockton,missy@gettactic.com,missy@gettactic.com,Profile Performance & Lead Management,,2022-09-28 22:11:56,,,,,,,G2
-930,Missy  Stockton,missy@gettactic.com,missy@gettactic.com,G2 Profile Anatomy,,2022-09-28 22:11:56,,,,,,,G2
-931,Missy  Stockton,missy@gettactic.com,missy@gettactic.com,Review Tracking & Brand Building,,2022-09-28 22:11:56,,,,,,,G2
-932,Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,Buyer Intent Basics,LIVE,2022-09-28 22:07:06,2022-09-28 22:07:07,,1,0%,,,G2
-933,Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,The Review Rundown,,2022-09-28 22:06:36,,,,,,,G2
-934,Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,G2 Profile Anatomy,,2022-09-28 22:06:36,,,,,,,G2
-935,Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,Profile Performance & Lead Management,,2022-09-28 22:06:36,,,,,,,G2
-936,Daniel Saunders,dsaunders@swipeclock.com,dsaunders@swipeclock.com,Review Tracking & Brand Building,,2022-09-28 22:06:36,,,,,,,G2
-937,Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,Profile Performance & Lead Management,,2022-09-28 22:02:44,,,,,,,G2
-938,Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,G2 Profile Anatomy,,2022-09-28 22:02:44,,,,,,,G2
-939,Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,The Review Rundown,,2022-09-28 22:02:44,,,,,,,G2
-940,Maggie Knox,maggie.knox@skai.io,maggie.knox@skai.io,Review Tracking & Brand Building,,2022-09-28 22:02:44,,,,,,,G2
-941,Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,Review Tracking & Brand Building,,2022-09-28 22:01:54,,,,,,,G2
-942,Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,G2 Profile Anatomy,,2022-09-28 22:01:54,,,,,,,G2
-943,Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,Profile Performance & Lead Management,,2022-09-28 22:01:54,,,,,,,G2
-944,Dave Lawson,dave.lawson@docebo.com,dave.lawson@docebo.com,The Review Rundown,,2022-09-28 22:01:54,,,,,,,G2
-945,Sydney Hughes,shughes@g2.com,shughes@g2.com,Profile Performance & Lead Management,,2022-09-28 22:01:44,,,,,,,G2
-946,Sydney Hughes,shughes@g2.com,shughes@g2.com,G2 Profile Anatomy,20,2022-09-28 22:01:44,2022-09-29 16:17:22,,1,0%,,,G2
-947,Sydney Hughes,shughes@g2.com,shughes@g2.com,The Review Rundown,LIVE,2022-09-28 22:01:44,2022-09-29 16:17:27,,1,0%,,,G2
-948,Sydney Hughes,shughes@g2.com,shughes@g2.com,Review Tracking & Brand Building,,2022-09-28 22:01:44,,,,,,,G2
-949,Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,Review Tracking & Brand Building,,2022-09-28 21:55:42,,,,,,,G2
-950,Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,The Review Rundown,,2022-09-28 21:55:42,,,,,,,G2
-951,Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,Profile Performance & Lead Management,,2022-09-28 21:55:42,,,,,,,G2
-952,Hana Pham,hana.pham@acquire.io,hana.pham@acquire.io,G2 Profile Anatomy,,2022-09-28 21:55:42,,,,,,,G2
-953,Conor Foley,cfoley@g2.com,cfoley@g2.com,G2 Profile Anatomy,20,2022-09-28 21:42:59,2022-09-28 21:44:55,,1,0%,,,G2
-954,Conor Foley,cfoley@g2.com,cfoley@g2.com,Review Tracking & Brand Building,,2022-09-28 21:42:59,,,,,,,G2
-955,Conor Foley,cfoley@g2.com,cfoley@g2.com,Profile Performance & Lead Management,,2022-09-28 21:42:59,,,,,,,G2
-956,Conor Foley,cfoley@g2.com,cfoley@g2.com,The Review Rundown,,2022-09-28 21:42:59,,,,,,,G2
-957,Andi Platt,aplatt@g2.com,aplatt@g2.com,Review Tracking & Brand Building,,2022-09-28 21:37:39,,,,,,,G2
-958,Andi Platt,aplatt@g2.com,aplatt@g2.com,The Review Rundown,,2022-09-28 21:37:39,,,,,,,G2
-959,Andi Platt,aplatt@g2.com,aplatt@g2.com,G2 Profile Anatomy,,2022-09-28 21:37:39,,,,,,,G2
-960,Andi Platt,aplatt@g2.com,aplatt@g2.com,Profile Performance & Lead Management,,2022-09-28 21:37:39,,,,,,,G2
-961,Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,Profile Performance & Lead Management,,2022-09-28 21:34:43,,,,,,,G2
-962,Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,Review Tracking & Brand Building,LIVE,2022-09-28 21:34:43,2022-11-01 16:03:01,,1,0%,,,G2
-963,Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,The Review Rundown,,2022-09-28 21:34:43,,,,,,,G2
-964,Jonathan Kentico,jonathanh@kentico.com,jonathanh@kentico.com,G2 Profile Anatomy,,2022-09-28 21:34:43,,,,,,,G2
-965,Jared Olschewski,jared@kadence.co,jared@kadence.co,G2 Profile Anatomy,,2022-09-28 21:34:04,,,,,,,G2
-966,Jared Olschewski,jared@kadence.co,jared@kadence.co,The Review Rundown,,2022-09-28 21:34:04,,,,,,,G2
-967,Jared Olschewski,jared@kadence.co,jared@kadence.co,Review Tracking & Brand Building,,2022-09-28 21:34:04,,,,,,,G2
-968,Jared Olschewski,jared@kadence.co,jared@kadence.co,Profile Performance & Lead Management,,2022-09-28 21:34:04,,,,,,,G2
-969,Ryan Fuller,rfuller@g2.com,rfuller@g2.com,The Review Rundown,,2022-09-28 21:19:48,,,,,,,G2
-970,Ryan Fuller,rfuller@g2.com,rfuller@g2.com,Profile Performance & Lead Management,,2022-09-28 21:19:48,,,,,,,G2
-971,Ryan Fuller,rfuller@g2.com,rfuller@g2.com,Review Tracking & Brand Building,,2022-09-28 21:19:48,,,,,,,G2
-972,Ryan Fuller,rfuller@g2.com,rfuller@g2.com,G2 Profile Anatomy,,2022-09-28 21:19:48,,,,,,,G2
-973,Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,Review Tracking & Brand Building,,2022-09-28 21:16:51,,,,,,,G2
-974,Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,Profile Performance & Lead Management,,2022-09-28 21:16:51,,,,,,,G2
-975,Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,The Review Rundown,,2022-09-28 21:16:51,,,,,,,G2
-976,Eunice Falqueza,eunice.falqueza@celohealth.com,eunice.falqueza@celohealth.com,G2 Profile Anatomy,,2022-09-28 21:16:51,,,,,,,G2
-977,Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Review Tracking & Brand Building,,2022-09-28 21:14:17,,,,,,,G2
-978,Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,G2 Profile Anatomy,20,2022-09-28 21:14:17,2022-10-01 15:13:49,,1,17%,What is the Value of a G2 Profile?,2022-10-01 15:23:25,G2
-979,Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,The Review Rundown,LIVE,2022-09-28 21:14:17,2022-10-04 17:56:39,,1,43%,Intro/4 Pillars,2022-10-04 18:04:36,G2
-980,Tristan Soliven,tristan.soliven@embarcadero.com,tristan.soliven@embarcadero.com,Profile Performance & Lead Management,,2022-09-28 21:14:17,,,,,,,G2
-981,Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,The Review Rundown,,2022-09-28 21:07:38,,,,,,,G2
-982,Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,Review Tracking & Brand Building,,2022-09-28 21:07:38,,,,,,,G2
-983,Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,Profile Performance & Lead Management,,2022-09-28 21:07:38,,,,,,,G2
-984,Daniel Soto Zeevaert,daniel.soto@timi.eu,daniel.soto@timi.eu,G2 Profile Anatomy,,2022-09-28 21:07:38,,,,,,,G2
-985,Gina Carr,gcarr@g2.com,gcarr@g2.com,How to Respond to Reviews,LIVE,2022-09-28 21:06:14,2022-09-28 21:06:15,2022-09-28 21:07:17,1,100%,Unactionable Negative Reviews,2022-09-28 21:07:17,G2
-986,Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,How to Use Buyer Intent,LIVE,2022-09-28 21:04:02,2022-09-28 21:04:02,2022-09-28 21:10:33,1,100%,Buyer Intent Score Filter Recommendations,2022-09-28 21:10:33,G2
-987,Gina Carr,gcarr@g2.com,gcarr@g2.com,Preparing for G2 Reports,LIVE,2022-09-28 21:03:49,2022-09-28 21:03:50,2022-09-28 21:04:56,1,100%,Results Index Criteria,2022-09-28 21:04:56,G2
-988,Gina Carr,gcarr@g2.com,gcarr@g2.com,How to Use Buyer Intent,LIVE,2022-09-28 21:00:59,2022-09-28 21:00:59,2022-09-28 21:02:35,1,100%,Buyer Intent Score Filter Recommendations,2022-09-28 21:02:35,G2
-989,Mike Learner,learner@labware.com,learner@labware.com,Profile Performance & Lead Management,,2022-09-28 21:00:07,,,,,,,G2
-990,Mike Learner,learner@labware.com,learner@labware.com,The Review Rundown,LIVE,2022-09-28 21:00:07,2022-09-28 21:00:45,,1,0%,,,G2
-991,Mike Learner,learner@labware.com,learner@labware.com,G2 Profile Anatomy,,2022-09-28 21:00:07,,,,,,,G2
-992,Mike Learner,learner@labware.com,learner@labware.com,Review Tracking & Brand Building,,2022-09-28 21:00:07,,,,,,,G2
-993,Gina Carr,gcarr@g2.com,gcarr@g2.com,Buyer Intent Basics,5,2022-09-28 20:58:15,2022-09-28 20:58:15,2022-09-28 21:00:21,1,100%,Integrations,2022-09-28 21:00:21,G2
-994,Gina Carr,gcarr@g2.com,gcarr@g2.com,Buyer Intent Basics,5,2022-09-28 20:58:15,2022-09-28 21:02:44,2022-09-28 21:03:33,2,100%,Integrations,2022-09-28 21:03:33,G2
-995,Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,Preparing for G2 Reports,LIVE,2022-09-28 20:57:29,2022-09-28 20:57:30,2022-09-28 21:03:34,1,100%,Results Index Criteria,2022-09-28 21:03:34,G2
-996,Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,Review Tracking & Brand Building,,2022-09-28 20:54:11,,,,,,,G2
-997,Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,G2 Profile Anatomy,20,2022-09-28 20:54:11,2022-09-28 20:54:21,,1,0%,,,G2
-998,Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,Profile Performance & Lead Management,,2022-09-28 20:54:11,,,,,,,G2
-999,Trent Whatcott,trent.whatcott@primary-intel.com,trent.whatcott@primary-intel.com,The Review Rundown,,2022-09-28 20:54:11,,,,,,,G2
-1000,Gina Carr,gcarr@g2.com,gcarr@g2.com,What is the G2 Content Subscription?,9,2022-09-28 20:53:23,2022-09-28 20:53:23,2022-09-28 20:57:02,1,100%,Infographics,2022-09-28 20:57:02,G2
-1001,Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,The Review Rundown,,2022-09-28 20:51:19,,,,,,,G2
-1002,Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,G2 Profile Anatomy,,2022-09-28 20:51:19,,,,,,,G2
-1003,Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,Profile Performance & Lead Management,,2022-09-28 20:51:19,,,,,,,G2
-1004,Ryan Hardesty,rhardesty@phishingbox.com,rhardesty@phishingbox.com,Review Tracking & Brand Building,,2022-09-28 20:51:19,,,,,,,G2
-1005,Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,The Review Rundown,LIVE,2022-09-28 20:47:45,2022-10-13 20:00:56,2022-10-13 20:28:48,1,100%,Review Moderation,2022-10-13 20:28:48,G2
-1006,Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,Profile Performance & Lead Management,LIVE,2022-09-28 20:47:45,2022-09-28 21:30:11,,1,63%,Profile Activity Page Overview,2022-09-29 16:47:47,G2
-1007,Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,Review Tracking & Brand Building,LIVE,2022-09-28 20:47:45,2022-10-13 20:29:16,,1,86%,Marketing Content: Reference Pages,2022-10-13 20:57:37,G2
-1008,Coco Wang,coco.wang@d2l.com,coco.wang@d2l.com,G2 Profile Anatomy,20,2022-09-28 20:47:45,2022-09-28 20:55:55,2022-09-28 21:30:03,1,100%,Top Tips Recap,2022-09-28 21:30:03,G2
-1009,Trish Kennedy,marketing@zudy.com,marketing@zudy.com,Review Tracking & Brand Building,,2022-09-28 20:45:13,,,,,,,G2
-1010,Trish Kennedy,marketing@zudy.com,marketing@zudy.com,G2 Profile Anatomy,20,2022-09-28 20:45:13,2022-09-28 20:48:19,,1,0%,,,G2
-1011,Trish Kennedy,marketing@zudy.com,marketing@zudy.com,The Review Rundown,,2022-09-28 20:45:13,,,,,,,G2
-1012,Trish Kennedy,marketing@zudy.com,marketing@zudy.com,Profile Performance & Lead Management,,2022-09-28 20:45:13,,,,,,,G2
-1013,Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,Review Tracking & Brand Building,,2022-09-28 20:44:45,,,,,,,G2
-1014,Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,G2 Profile Anatomy,,2022-09-28 20:44:45,,,,,,,G2
-1015,Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,The Review Rundown,,2022-09-28 20:44:45,,,,,,,G2
-1016,Jegannath Ramanathan,jegannath@contactmonkey.com,jegannath@contactmonkey.com,Profile Performance & Lead Management,,2022-09-28 20:44:45,,,,,,,G2
-1017,Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,Review Tracking & Brand Building,,2022-09-28 20:38:42,,,,,,,G2
-1018,Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,Profile Performance & Lead Management,,2022-09-28 20:38:42,,,,,,,G2
-1019,Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,G2 Profile Anatomy,,2022-09-28 20:38:42,,,,,,,G2
-1020,Madavena Koushik,koushik.madavena@phenompeople.com,koushik.madavena@phenompeople.com,The Review Rundown,,2022-09-28 20:38:42,,,,,,,G2
-1021,Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,The Review Rundown,,2022-09-28 20:38:24,,,,,,,G2
-1022,Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,G2 Profile Anatomy,20,2022-09-28 20:38:24,2022-09-28 20:38:39,,1,0%,,,G2
-1023,Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,Review Tracking & Brand Building,,2022-09-28 20:38:24,,,,,,,G2
-1024,Justin Freeland,jfreeland@revention.com,jfreeland@revention.com,Profile Performance & Lead Management,,2022-09-28 20:38:24,,,,,,,G2
-1025,Deborah Komkov,deborah@guusto.com,deborah@guusto.com,How to Respond to Reviews,LIVE,2022-09-28 20:34:01,2022-09-28 20:34:01,2022-09-28 20:38:30,1,100%,Unactionable Negative Reviews,2022-09-28 20:38:30,G2
-1026,Jacob Rouser,jrouser@groove.co,jrouser@groove.co,Profile Performance & Lead Management,,2022-09-28 20:33:06,,,,,,,G2
-1027,Jacob Rouser,jrouser@groove.co,jrouser@groove.co,Review Tracking & Brand Building,,2022-09-28 20:33:06,,,,,,,G2
-1028,Jacob Rouser,jrouser@groove.co,jrouser@groove.co,The Review Rundown,,2022-09-28 20:33:06,,,,,,,G2
-1029,Jacob Rouser,jrouser@groove.co,jrouser@groove.co,G2 Profile Anatomy,,2022-09-28 20:33:06,,,,,,,G2
-1030,Deborah Komkov,deborah@guusto.com,deborah@guusto.com,Profile Performance & Lead Management,,2022-09-28 20:30:52,,,,,,,G2
-1031,Deborah Komkov,deborah@guusto.com,deborah@guusto.com,G2 Profile Anatomy,20,2022-09-28 20:30:52,2022-09-28 20:31:31,2022-09-28 20:32:54,1,100%,Top Tips Recap,2022-09-28 20:32:54,G2
-1032,Deborah Komkov,deborah@guusto.com,deborah@guusto.com,Review Tracking & Brand Building,,2022-09-28 20:30:52,,,,,,,G2
-1033,Deborah Komkov,deborah@guusto.com,deborah@guusto.com,The Review Rundown,LIVE,2022-09-28 20:30:52,2022-09-28 20:38:40,,1,0%,,,G2
-1034,Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,G2 Profile Anatomy,,2022-09-28 20:30:51,,,,,,,G2
-1035,Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,Profile Performance & Lead Management,,2022-09-28 20:30:51,,,,,,,G2
-1036,Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,Review Tracking & Brand Building,,2022-09-28 20:30:51,,,,,,,G2
-1037,Sterling Kump,sterlingkump@gmail.com,sterlingkump@gmail.com,The Review Rundown,,2022-09-28 20:30:51,,,,,,,G2
-1038,Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,The Review Rundown,,2022-09-28 20:28:46,,,,,,,G2
-1039,Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,G2 Profile Anatomy,20,2022-09-28 20:28:46,2022-09-28 20:29:09,,1,0%,,,G2
-1040,Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,Profile Performance & Lead Management,,2022-09-28 20:28:46,,,,,,,G2
-1041,Muhammad Mustaqeem,muhammad.mustaqeem@orcanos.com,muhammad.mustaqeem@orcanos.com,Review Tracking & Brand Building,,2022-09-28 20:28:46,,,,,,,G2
-1042,Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,Profile Performance & Lead Management,,2022-09-28 20:26:55,,,,,,,G2
-1043,Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,G2 Profile Anatomy,,2022-09-28 20:26:55,,,,,,,G2
-1044,Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,The Review Rundown,,2022-09-28 20:26:55,,,,,,,G2
-1045,Lauren Worth,lauren.a.worth@gmail.com,lauren.a.worth@gmail.com,Review Tracking & Brand Building,,2022-09-28 20:26:55,,,,,,,G2
-1046,Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,G2 Profile Anatomy,20,2022-09-28 20:25:28,2022-09-28 20:25:47,,1,0%,,,G2
-1047,Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,The Review Rundown,,2022-09-28 20:25:28,,,,,,,G2
-1048,Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,Review Tracking & Brand Building,,2022-09-28 20:25:28,,,,,,,G2
-1049,Emily Allan,eallan@qualtrics.com,eallan@qualtrics.com,Profile Performance & Lead Management,,2022-09-28 20:25:28,,,,,,,G2
-1050,Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,The Review Rundown,,2022-09-28 20:25:15,,,,,,,G2
-1051,Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,Review Tracking & Brand Building,,2022-09-28 20:25:15,,,,,,,G2
-1052,Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,Profile Performance & Lead Management,,2022-09-28 20:25:15,,,,,,,G2
-1053,Jon Moody,jmoody@abnormalsecurity.com,jmoody@abnormalsecurity.com,G2 Profile Anatomy,,2022-09-28 20:25:15,,,,,,,G2
-1054,Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,G2 Profile Anatomy,,2022-09-28 20:23:45,,,,,,,G2
-1055,Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,The Review Rundown,,2022-09-28 20:23:45,,,,,,,G2
-1056,Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,Review Tracking & Brand Building,,2022-09-28 20:23:45,,,,,,,G2
-1057,Natashia Shields,nshields@accelevents.com,nshields@accelevents.com,Profile Performance & Lead Management,,2022-09-28 20:23:45,,,,,,,G2
-1058,Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,Review Tracking & Brand Building,,2022-09-28 20:20:55,,,,,,,G2
-1059,Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,The Review Rundown,,2022-09-28 20:20:55,,,,,,,G2
-1060,Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,G2 Profile Anatomy,,2022-09-28 20:20:55,,,,,,,G2
-1061,Jas  Singh,jas.singh@emburse.com,jas.singh@emburse.com,Profile Performance & Lead Management,,2022-09-28 20:20:55,,,,,,,G2
-1062,Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,G2 Profile Anatomy,,2022-09-28 20:17:30,,,,,,,G2
-1063,Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,Profile Performance & Lead Management,,2022-09-28 20:17:30,,,,,,,G2
-1064,Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,Review Tracking & Brand Building,,2022-09-28 20:17:30,,,,,,,G2
-1065,Matt Walker,mwalker@intermedia.com,mwalker@intermedia.com,The Review Rundown,,2022-09-28 20:17:30,,,,,,,G2
-1066,Patty Montenegro,patty@vanta.com,patty@vanta.com,The Review Rundown,,2022-09-28 20:17:06,,,,,,,G2
-1067,Patty Montenegro,patty@vanta.com,patty@vanta.com,Profile Performance & Lead Management,,2022-09-28 20:17:06,,,,,,,G2
-1068,Patty Montenegro,patty@vanta.com,patty@vanta.com,Review Tracking & Brand Building,,2022-09-28 20:17:06,,,,,,,G2
-1069,Patty Montenegro,patty@vanta.com,patty@vanta.com,G2 Profile Anatomy,,2022-09-28 20:17:06,,,,,,,G2
-1070,Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,Review Tracking & Brand Building,,2022-09-28 20:16:58,,,,,,,G2
-1071,Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,Profile Performance & Lead Management,,2022-09-28 20:16:58,,,,,,,G2
-1072,Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,G2 Profile Anatomy,,2022-09-28 20:16:58,,,,,,,G2
-1073,Elizabeth Hatt,elizabeth.hatt@jitterbit.com,elizabeth.hatt@jitterbit.com,The Review Rundown,,2022-09-28 20:16:58,,,,,,,G2
-1074,Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,Review Tracking & Brand Building,,2022-09-28 20:11:59,,,,,,,G2
-1075,Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,Profile Performance & Lead Management,,2022-09-28 20:11:59,,,,,,,G2
-1076,Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,G2 Profile Anatomy,,2022-09-28 20:11:59,,,,,,,G2
-1077,Angela Hicks,angela.hicks@tapclicks.com,angela.hicks@tapclicks.com,The Review Rundown,,2022-09-28 20:11:59,,,,,,,G2
-1078,Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,The Review Rundown,,2022-09-28 20:09:48,,,,,,,G2
-1079,Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,Review Tracking & Brand Building,,2022-09-28 20:09:48,,,,,,,G2
-1080,Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,Profile Performance & Lead Management,,2022-09-28 20:09:48,,,,,,,G2
-1081,Rachel Metzler,rachmetz@gmail.com,rachmetz@gmail.com,G2 Profile Anatomy,,2022-09-28 20:09:48,,,,,,,G2
-1082,Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,G2 Profile Anatomy,,2022-09-28 20:08:04,,,,,,,G2
-1083,Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,Profile Performance & Lead Management,,2022-09-28 20:08:04,,,,,,,G2
-1084,Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,Review Tracking & Brand Building,,2022-09-28 20:08:04,,,,,,,G2
-1085,Aaron Rodgers,aaron.rodgers@corpay.com,aaron.rodgers@corpay.com,The Review Rundown,,2022-09-28 20:08:04,,,,,,,G2
-1086,Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,Review Tracking & Brand Building,,2022-09-28 20:06:30,,,,,,,G2
-1087,Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,G2 Profile Anatomy,20,2022-09-28 20:06:30,2022-09-28 20:06:54,,1,0%,,,G2
-1088,Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,The Review Rundown,,2022-09-28 20:06:30,,,,,,,G2
-1089,Yoselyn Rea,yrea@auditboard.com,yrea@auditboard.com,Profile Performance & Lead Management,,2022-09-28 20:06:30,,,,,,,G2
-1090,Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,G2 Profile Anatomy,,2022-09-28 20:06:15,,,,,,,G2
-1091,Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,Profile Performance & Lead Management,,2022-09-28 20:06:15,,,,,,,G2
-1092,Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,The Review Rundown,,2022-09-28 20:06:15,,,,,,,G2
-1093,Tommy Larsen,tlarsen@g2.com,tlarsen@g2.com,Review Tracking & Brand Building,,2022-09-28 20:06:15,,,,,,,G2
-1094,Nina Terregino,nina@goco.io,nina@goco.io,G2 Profile Anatomy,20,2022-09-28 20:06:01,2022-09-28 20:06:40,,1,0%,,,G2
-1095,Nina Terregino,nina@goco.io,nina@goco.io,The Review Rundown,,2022-09-28 20:06:01,,,,,,,G2
-1096,Nina Terregino,nina@goco.io,nina@goco.io,Profile Performance & Lead Management,,2022-09-28 20:06:01,,,,,,,G2
-1097,Nina Terregino,nina@goco.io,nina@goco.io,Review Tracking & Brand Building,,2022-09-28 20:06:01,,,,,,,G2
-1098,Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,G2 Profile Anatomy,,2022-09-28 20:05:47,,,,,,,G2
-1099,Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,Review Tracking & Brand Building,LIVE,2022-09-28 20:05:47,2022-11-18 19:59:30,,1,0%,,,G2
-1100,Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,Profile Performance & Lead Management,,2022-09-28 20:05:47,,,,,,,G2
-1101,Cassandra Cucinotta,ccucinotta@g2.com,ccucinotta@g2.com,The Review Rundown,,2022-09-28 20:05:47,,,,,,,G2
-1102,Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,The Review Rundown,,2022-09-28 20:04:16,,,,,,,G2
-1103,Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,Review Tracking & Brand Building,,2022-09-28 20:04:16,,,,,,,G2
-1104,Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,G2 Profile Anatomy,,2022-09-28 20:04:16,,,,,,,G2
-1105,Ciera Saldona,ciera.saldona@birdeye.com,ciera.saldona@birdeye.com,Profile Performance & Lead Management,,2022-09-28 20:04:16,,,,,,,G2
-1106,Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,The Review Rundown,,2022-09-28 20:00:43,,,,,,,G2
-1107,Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,G2 Profile Anatomy,,2022-09-28 20:00:43,,,,,,,G2
-1108,Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,Profile Performance & Lead Management,,2022-09-28 20:00:43,,,,,,,G2
-1109,Alex Cahn,acahn@g2crowd.com,acahn@g2crowd.com,Review Tracking & Brand Building,,2022-09-28 20:00:43,,,,,,,G2
-1110,Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,Buyer Intent Basics,5,2022-09-28 19:58:23,2022-09-28 19:58:23,,1,0%,,,G2
-1111,Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,Profile Performance & Lead Management,,2022-09-28 19:58:01,,,,,,,G2
-1112,Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,Review Tracking & Brand Building,,2022-09-28 19:58:01,,,,,,,G2
-1113,Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,The Review Rundown,,2022-09-28 19:58:01,,,,,,,G2
-1114,Alex Rolfe,arolfe@cvent.com,arolfe@cvent.com,G2 Profile Anatomy,,2022-09-28 19:58:01,,,,,,,G2
-1115,Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,The Review Rundown,,2022-09-28 19:57:59,,,,,,,G2
-1116,Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,Review Tracking & Brand Building,,2022-09-28 19:57:59,,,,,,,G2
-1117,Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,Profile Performance & Lead Management,,2022-09-28 19:57:59,,,,,,,G2
-1118,Amaia Porteiro,amaia@badgermapping.com,amaia@badgermapping.com,G2 Profile Anatomy,,2022-09-28 19:57:59,,,,,,,G2
-1119,Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,Review Tracking & Brand Building,,2022-09-28 19:57:25,,,,,,,G2
-1120,Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,Profile Performance & Lead Management,,2022-09-28 19:57:25,,,,,,,G2
-1121,Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,G2 Profile Anatomy,,2022-09-28 19:57:25,,,,,,,G2
-1122,Gregory Heinz,gregory.heinz@qlik.com,gregory.heinz@qlik.com,The Review Rundown,,2022-09-28 19:57:25,,,,,,,G2
-1123,Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,Profile Performance & Lead Management,LIVE,2022-09-28 19:57:07,2022-09-28 19:57:34,,1,0%,,,G2
-1124,Branca Ballot,branca@glideapps.com,branca@glideapps.com,The Review Rundown,,2022-09-28 19:57:07,,,,,,,G2
-1125,Branca Ballot,branca@glideapps.com,branca@glideapps.com,Review Tracking & Brand Building,,2022-09-28 19:57:07,,,,,,,G2
-1126,Branca Ballot,branca@glideapps.com,branca@glideapps.com,Profile Performance & Lead Management,,2022-09-28 19:57:07,,,,,,,G2
-1127,Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,The Review Rundown,,2022-09-28 19:57:07,,,,,,,G2
-1128,Branca Ballot,branca@glideapps.com,branca@glideapps.com,G2 Profile Anatomy,20,2022-09-28 19:57:07,2022-09-28 19:58:42,,1,0%,,,G2
-1129,Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,G2 Profile Anatomy,,2022-09-28 19:57:07,,,,,,,G2
-1130,Mel Cagle,mel.cagle@simpro.us,mel.cagle@simpro.us,Review Tracking & Brand Building,,2022-09-28 19:57:07,,,,,,,G2
-1131,Dan Kantor,dkantor@g2.com,dkantor@g2.com,Review Tracking & Brand Building,,2022-09-28 19:56:56,,,,,,,G2
-1132,Dan Kantor,dkantor@g2.com,dkantor@g2.com,G2 Profile Anatomy,,2022-09-28 19:56:56,,,,,,,G2
-1133,Dan Kantor,dkantor@g2.com,dkantor@g2.com,The Review Rundown,,2022-09-28 19:56:56,,,,,,,G2
-1134,Dan Kantor,dkantor@g2.com,dkantor@g2.com,Profile Performance & Lead Management,,2022-09-28 19:56:56,,,,,,,G2
-1135,Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,G2 Profile Anatomy,,2022-09-28 19:55:48,,,,,,,G2
-1136,Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,The Review Rundown,,2022-09-28 19:55:48,,,,,,,G2
-1137,Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,Review Tracking & Brand Building,,2022-09-28 19:55:48,,,,,,,G2
-1138,Jessica Schaefer,jschaefer@servicetitan.com,jschaefer@servicetitan.com,Profile Performance & Lead Management,,2022-09-28 19:55:48,,,,,,,G2
-1139,Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,Profile Performance & Lead Management,,2022-09-28 19:52:17,,,,,,,G2
-1140,Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,Review Tracking & Brand Building,,2022-09-28 19:52:17,,,,,,,G2
-1141,Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,G2 Profile Anatomy,20,2022-09-28 19:52:17,2022-09-28 19:52:48,,1,0%,,,G2
-1142,Annie Chen,annie.chen@contractpodai.com,annie.chen@contractpodai.com,The Review Rundown,,2022-09-28 19:52:17,,,,,,,G2
-1143,Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,G2 Profile Anatomy,20,2022-09-28 19:51:56,2022-09-28 19:52:38,2022-10-11 21:45:51,1,100%,What is the Value of a G2 Profile?,2022-10-11 21:45:51,G2
-1144,Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,Profile Performance & Lead Management,,2022-09-28 19:51:56,,,,,,,G2
-1145,Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,The Review Rundown,LIVE,2022-09-28 19:51:56,2022-10-11 21:46:16,,1,57%,Review Attribution Tags,2022-10-11 22:15:40,G2
-1146,Vander Holyfield,amritpal.vander@alight.com,amritpal.vander@alight.com,Review Tracking & Brand Building,,2022-09-28 19:51:56,,,,,,,G2
-1147,Chris Marley,chris.marley@visier.com,chris.marley@visier.com,Review Tracking & Brand Building,,2022-09-28 19:51:12,,,,,,,G2
-1148,Chris Marley,chris.marley@visier.com,chris.marley@visier.com,G2 Profile Anatomy,,2022-09-28 19:51:12,,,,,,,G2
-1149,Chris Marley,chris.marley@visier.com,chris.marley@visier.com,The Review Rundown,,2022-09-28 19:51:12,,,,,,,G2
-1150,Chris Marley,chris.marley@visier.com,chris.marley@visier.com,Profile Performance & Lead Management,,2022-09-28 19:51:12,,,,,,,G2
-1151,Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,G2 Profile Anatomy,,2022-09-28 19:51:04,,,,,,,G2
-1152,Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,Review Tracking & Brand Building,,2022-09-28 19:51:04,,,,,,,G2
-1153,Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,The Review Rundown,,2022-09-28 19:51:04,,,,,,,G2
-1154,Hafsa Nasrin,hafsa.nasrin@multiviewcorp.com,hafsa.nasrin@multiviewcorp.com,Profile Performance & Lead Management,,2022-09-28 19:51:04,,,,,,,G2
-1155,Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,G2 Profile Anatomy,20,2022-09-28 19:50:17,2022-09-28 19:50:40,,1,17%,What is the Value of a G2 Profile?,2022-09-29 14:54:26,G2
-1156,Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,Review Tracking & Brand Building,,2022-09-28 19:50:17,,,,,,,G2
-1157,Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,The Review Rundown,LIVE,2022-09-28 19:50:17,2022-09-28 19:51:20,,1,0%,,,G2
-1158,Alaina Loori,alaina@hackerrank.com,alaina@hackerrank.com,Profile Performance & Lead Management,,2022-09-28 19:50:17,,,,,,,G2
-1159,Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,Profile Performance & Lead Management,,2022-09-28 19:48:49,,,,,,,G2
-1160,Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,G2 Profile Anatomy,,2022-09-28 19:48:49,,,,,,,G2
-1161,Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,The Review Rundown,,2022-09-28 19:48:49,,,,,,,G2
-1162,Laura Evans,laura.evans@payemcard.com,laura.evans@payemcard.com,Review Tracking & Brand Building,,2022-09-28 19:48:49,,,,,,,G2
-1163,Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,Review Tracking & Brand Building,,2022-09-28 19:47:50,,,,,,,G2
-1164,Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,Profile Performance & Lead Management,,2022-09-28 19:47:50,,,,,,,G2
-1165,Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,The Review Rundown,,2022-09-28 19:47:50,,,,,,,G2
-1166,Lisette Aguilar,lisette.aguilar@seeq.com,lisette.aguilar@seeq.com,G2 Profile Anatomy,,2022-09-28 19:47:50,,,,,,,G2
-1167,Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,G2 Profile Anatomy,,2022-09-28 19:47:44,,,,,,,G2
-1168,Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,The Review Rundown,,2022-09-28 19:47:44,,,,,,,G2
-1169,Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,Profile Performance & Lead Management,,2022-09-28 19:47:44,,,,,,,G2
-1170,Mikaela Waters,mikaela.waters@ironcladhq.com,mikaela.waters@ironcladhq.com,Review Tracking & Brand Building,,2022-09-28 19:47:44,,,,,,,G2
-1171,Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,Review Tracking & Brand Building,LIVE,2022-09-28 19:47:22,2022-09-28 20:48:46,2022-09-28 20:57:07,1,100%,Review Integrations,2022-09-28 20:57:07,G2
-1172,Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,G2 Profile Anatomy,20,2022-09-28 19:47:22,2022-09-28 19:48:24,2022-09-28 19:59:52,1,100%,Top Tips Recap,2022-09-28 19:59:52,G2
-1173,Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,Profile Performance & Lead Management,LIVE,2022-09-28 19:47:22,2022-09-28 20:00:16,2022-09-28 20:19:49,1,100%,Lead Webhooks,2022-09-28 20:19:49,G2
-1174,Brittney Viboch,bviboch@goformz.com,bviboch@goformz.com,The Review Rundown,LIVE,2022-09-28 19:47:22,2022-09-28 20:27:53,2022-09-28 20:48:25,1,100%,Review Moderation,2022-09-28 20:48:25,G2
-1175,Brooke Morse,bmorse@g2.com,bmorse@g2.com,The Review Rundown,,2022-09-28 19:46:07,,,,,,,G2
-1176,Brooke Morse,bmorse@g2.com,bmorse@g2.com,Review Tracking & Brand Building,,2022-09-28 19:46:07,,,,,,,G2
-1177,Brooke Morse,bmorse@g2.com,bmorse@g2.com,G2 Profile Anatomy,,2022-09-28 19:46:07,,,,,,,G2
-1178,Brooke Morse,bmorse@g2.com,bmorse@g2.com,Profile Performance & Lead Management,,2022-09-28 19:46:07,,,,,,,G2
-1179,Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,G2 Profile Anatomy,,2022-09-28 19:45:20,,,,,,,G2
-1180,Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,The Review Rundown,,2022-09-28 19:45:20,,,,,,,G2
-1181,Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,Profile Performance & Lead Management,,2022-09-28 19:45:20,,,,,,,G2
-1182,Hannah Norrid,hnorrid@g2.com,hnorrid@g2.com,Review Tracking & Brand Building,,2022-09-28 19:45:20,,,,,,,G2
-1183,Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,The Review Rundown,,2022-09-28 19:44:55,,,,,,,G2
-1184,Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,Profile Performance & Lead Management,,2022-09-28 19:44:55,,,,,,,G2
-1185,Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,Review Tracking & Brand Building,,2022-09-28 19:44:55,,,,,,,G2
-1186,Joe  Cronin,jcronin@connectleader.com,jcronin@connectleader.com,G2 Profile Anatomy,,2022-09-28 19:44:55,,,,,,,G2
-1187,Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,G2 Profile Anatomy,,2022-09-28 19:44:40,,,,,,,G2
-1188,Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,Profile Performance & Lead Management,,2022-09-28 19:44:40,,,,,,,G2
-1189,Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,The Review Rundown,LIVE,2022-09-28 19:44:40,2022-09-28 19:45:20,,1,14%,What are Reviews?,2022-09-28 19:47:31,G2
-1190,Rob Ayre,rob.ayre@influitive.com,rob.ayre@influitive.com,Review Tracking & Brand Building,,2022-09-28 19:44:40,,,,,,,G2
-1191,Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,Preparing for G2 Reports,LIVE,2022-09-28 19:43:29,2022-09-28 19:43:29,,1,7%,Report Calendar + Actions Required,2022-09-28 19:43:38,G2
-1192,George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,G2 Profile Anatomy,20,2022-09-28 19:42:52,2022-09-28 19:42:58,,1,0%,,,G2
-1193,George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,The Review Rundown,,2022-09-28 19:42:52,,,,,,,G2
-1194,George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,Profile Performance & Lead Management,,2022-09-28 19:42:52,,,,,,,G2
-1195,George Harris,harrisgo@miamioh.edu,harrisgo@miamioh.edu,Review Tracking & Brand Building,,2022-09-28 19:42:52,,,,,,,G2
-1196,Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,Review Tracking & Brand Building,,2022-09-28 19:42:46,,,,,,,G2
-1197,Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,Profile Performance & Lead Management,,2022-09-28 19:42:46,,,,,,,G2
-1198,Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,G2 Profile Anatomy,,2022-09-28 19:42:46,,,,,,,G2
-1199,Kassia Chatting,kassia@learnerbly.com,kassia@learnerbly.com,The Review Rundown,,2022-09-28 19:42:46,,,,,,,G2
-1200,Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,The Review Rundown,,2022-09-28 19:42:11,,,,,,,G2
-1201,Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,Profile Performance & Lead Management,,2022-09-28 19:42:11,,,,,,,G2
-1202,Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,G2 Profile Anatomy,,2022-09-28 19:42:11,,,,,,,G2
-1203,Kim Castelluccio,kim.castelluccio@blackbaud.com,kim.castelluccio@blackbaud.com,Review Tracking & Brand Building,,2022-09-28 19:42:11,,,,,,,G2
-1204,Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,The Review Rundown,,2022-09-28 19:42:06,,,,,,,G2
-1205,Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,G2 Profile Anatomy,,2022-09-28 19:42:06,,,,,,,G2
-1206,Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,Profile Performance & Lead Management,,2022-09-28 19:42:06,,,,,,,G2
-1207,Alec Schwartz,aschwartz@g2.com,aschwartz@g2.com,Review Tracking & Brand Building,,2022-09-28 19:42:06,,,,,,,G2
-1208,Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,Review Tracking & Brand Building,,2022-09-28 19:40:05,,,,,,,G2
-1209,Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,The Review Rundown,LIVE,2022-09-28 19:40:05,2022-09-28 19:40:12,,1,14%,What are Reviews?,2022-09-28 19:40:23,G2
-1210,Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,Profile Performance & Lead Management,,2022-09-28 19:40:05,,,,,,,G2
-1211,Kacey Davidson,kacey.davidson@skilljar.com,kacey.davidson@skilljar.com,G2 Profile Anatomy,,2022-09-28 19:40:05,,,,,,,G2
-1212,Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,Profile Performance & Lead Management,,2022-09-28 19:39:30,,,,,,,G2
-1213,Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,The Review Rundown,,2022-09-28 19:39:30,,,,,,,G2
-1214,Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,G2 Profile Anatomy,20,2022-09-28 19:39:30,2022-09-28 19:39:57,,1,0%,,,G2
-1215,Scott Heinemann,scott.heinemann@skilljar.com,scott.heinemann@skilljar.com,Review Tracking & Brand Building,,2022-09-28 19:39:30,,,,,,,G2
-1216,Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,The Review Rundown,,2022-09-28 19:39:06,,,,,,,G2
-1217,Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,G2 Profile Anatomy,,2022-09-28 19:39:06,,,,,,,G2
-1218,Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,Review Tracking & Brand Building,,2022-09-28 19:39:06,,,,,,,G2
-1219,Christina Kay,christina.kay@resellerratings.com,christina.kay@resellerratings.com,Profile Performance & Lead Management,,2022-09-28 19:39:06,,,,,,,G2
-1220,Olivia Klank,oklank@g2.com,oklank@g2.com,The Review Rundown,,2022-09-28 19:38:14,,,,,,,G2
-1221,Olivia Klank,oklank@g2.com,oklank@g2.com,Review Tracking & Brand Building,,2022-09-28 19:38:14,,,,,,,G2
-1222,Olivia Klank,oklank@g2.com,oklank@g2.com,G2 Profile Anatomy,20,2022-09-28 19:38:14,2022-09-28 19:39:31,,1,0%,,,G2
-1223,Olivia Klank,oklank@g2.com,oklank@g2.com,Profile Performance & Lead Management,,2022-09-28 19:38:14,,,,,,,G2
-1224,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,How to Use Buyer Intent,LIVE,2022-09-28 19:37:45,2022-09-28 21:42:43,,2,73%,Prevent Churn and Improve Expansion,2022-09-28 21:44:42,G2
-1225,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,How to Use Buyer Intent,LIVE,2022-09-28 19:37:45,2022-09-28 19:37:45,2022-09-28 19:51:59,1,100%,Buyer Intent Score Filter Recommendations,2022-09-28 19:51:59,G2
-1226,Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,The Review Rundown,LIVE,2022-09-28 19:36:57,2022-10-04 20:57:45,,1,86%,Review Submission,2022-10-04 20:58:33,G2
-1227,Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,G2 Profile Anatomy,20,2022-09-28 19:36:57,2022-10-04 20:57:36,,1,0%,,,G2
-1228,Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,Profile Performance & Lead Management,,2022-09-28 19:36:57,,,,,,,G2
-1229,Lou Krsnich,lkrsnich@g2crowd.com,lkrsnich@g2crowd.com,Review Tracking & Brand Building,,2022-09-28 19:36:57,,,,,,,G2
-1230,Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,The Review Rundown,,2022-09-28 19:36:20,,,,,,,G2
-1231,Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,G2 Profile Anatomy,,2022-09-28 19:36:20,,,,,,,G2
-1232,Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,Profile Performance & Lead Management,,2022-09-28 19:36:20,,,,,,,G2
-1233,Caitlin Shanly,cshanly@techtarget.com,cshanly@techtarget.com,Review Tracking & Brand Building,,2022-09-28 19:36:20,,,,,,,G2
-1234,Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,Review Tracking & Brand Building,,2022-09-28 19:36:01,,,,,,,G2
-1235,Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,G2 Profile Anatomy,,2022-09-28 19:36:01,,,,,,,G2
-1236,Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,The Review Rundown,,2022-09-28 19:36:01,,,,,,,G2
-1237,Chris Otten,chris.otten@vbrick.com,chris.otten@vbrick.com,Profile Performance & Lead Management,,2022-09-28 19:36:01,,,,,,,G2
-1238,Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,How to Respond to Reviews,LIVE,2022-09-28 19:34:36,2022-09-28 19:34:37,,1,67%,Formulating a Response,2022-09-28 19:40:24,G2
-1239,Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,Review Tracking & Brand Building,,2022-09-28 19:33:04,,,,,,,G2
-1240,Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,Profile Performance & Lead Management,,2022-09-28 19:33:04,,,,,,,G2
-1241,Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,The Review Rundown,LIVE,2022-09-28 19:33:04,2022-09-28 19:33:51,,1,0%,,,G2
-1242,Rachel Stauffer,rstauffer@hawksoft.com,rstauffer@hawksoft.com,G2 Profile Anatomy,,2022-09-28 19:33:04,,,,,,,G2
-1243,Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,G2 Profile Anatomy,20,2022-09-28 19:32:19,2022-09-28 19:36:57,,1,0%,,,G2
-1244,Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,Profile Performance & Lead Management,,2022-09-28 19:32:19,,,,,,,G2
-1245,Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,Review Tracking & Brand Building,,2022-09-28 19:32:19,,,,,,,G2
-1246,Dan Candido,dan.candido@interfacing.com,dan.candido@interfacing.com,The Review Rundown,,2022-09-28 19:32:19,,,,,,,G2
-1247,Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,Profile Performance & Lead Management,,2022-09-28 19:32:16,,,,,,,G2
-1248,Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,G2 Profile Anatomy,,2022-09-28 19:32:16,,,,,,,G2
-1249,Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,The Review Rundown,,2022-09-28 19:32:16,,,,,,,G2
-1250,Jim Volpe,james.volpe@memsource.com,james.volpe@memsource.com,Review Tracking & Brand Building,,2022-09-28 19:32:16,,,,,,,G2
-1251,Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,The Review Rundown,,2022-09-28 19:28:58,,,,,,,G2
-1252,Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,Review Tracking & Brand Building,,2022-09-28 19:28:58,,,,,,,G2
-1253,Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,Profile Performance & Lead Management,LIVE,2022-09-28 19:28:58,2022-09-28 19:29:13,,1,0%,,,G2
-1254,Anna Muth,anna.muth@uberall.com,anna.muth@uberall.com,G2 Profile Anatomy,,2022-09-28 19:28:58,,,,,,,G2
-1255,Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,Profile Performance & Lead Management,,2022-09-28 19:28:09,,,,,,,G2
-1256,Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,Review Tracking & Brand Building,,2022-09-28 19:28:09,,,,,,,G2
-1257,Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,G2 Profile Anatomy,,2022-09-28 19:28:09,,,,,,,G2
-1258,Seth Kekessie,skekessie@apriori.com,skekessie@apriori.com,The Review Rundown,,2022-09-28 19:28:09,,,,,,,G2
-1259,Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,Buyer Intent Basics,5,2022-09-28 19:27:42,2022-09-28 19:27:42,,1,0%,,,G2
-1260,Mike Cline,mcline@processbolt.com,mcline@processbolt.com,Profile Performance & Lead Management,,2022-09-28 19:27:41,,,,,,,G2
-1261,Mike Cline,mcline@processbolt.com,mcline@processbolt.com,Review Tracking & Brand Building,,2022-09-28 19:27:41,,,,,,,G2
-1262,Mike Cline,mcline@processbolt.com,mcline@processbolt.com,The Review Rundown,,2022-09-28 19:27:41,,,,,,,G2
-1263,Mike Cline,mcline@processbolt.com,mcline@processbolt.com,G2 Profile Anatomy,,2022-09-28 19:27:41,,,,,,,G2
-1264,Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,Profile Performance & Lead Management,,2022-09-28 19:27:22,,,,,,,G2
-1265,Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,Review Tracking & Brand Building,,2022-09-28 19:27:22,,,,,,,G2
-1266,Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,The Review Rundown,,2022-09-28 19:27:22,,,,,,,G2
-1267,Jenna Van De Velde,jvandevelde@invoca.com,jvandevelde@invoca.com,G2 Profile Anatomy,,2022-09-28 19:27:22,,,,,,,G2
-1268,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Buyer Intent Basics,LIVE,2022-09-28 19:27:08,2022-09-28 23:31:44,,2,0%,,2022-09-28 23:31:44,G2
-1269,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Buyer Intent Basics,5,2022-09-28 19:27:08,2022-09-28 19:27:09,2022-09-28 19:37:02,1,100%,Integrations,2022-09-28 19:37:02,G2
-1270,Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,Review Tracking & Brand Building,,2022-09-28 19:26:44,,,,,,,G2
-1271,Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,G2 Profile Anatomy,,2022-09-28 19:26:44,,,,,,,G2
-1272,Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,Profile Performance & Lead Management,,2022-09-28 19:26:44,,,,,,,G2
-1273,Adam Kranitz,adam.kranitz@lucidlink.com,adam.kranitz@lucidlink.com,The Review Rundown,,2022-09-28 19:26:44,,,,,,,G2
-1274,Park Groves,park@tremendous.com,park@tremendous.com,G2 Profile Anatomy,,2022-09-28 19:26:08,,,,,,,G2
-1275,Park Groves,park@tremendous.com,park@tremendous.com,Review Tracking & Brand Building,,2022-09-28 19:26:08,,,,,,,G2
-1276,Park Groves,park@tremendous.com,park@tremendous.com,Profile Performance & Lead Management,,2022-09-28 19:26:08,,,,,,,G2
-1277,Park Groves,park@tremendous.com,park@tremendous.com,The Review Rundown,,2022-09-28 19:26:08,,,,,,,G2
-1278,Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,The Review Rundown,LIVE,2022-09-28 19:26:04,2022-09-28 19:38:57,,1,0%,,,G2
-1279,Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,Profile Performance & Lead Management,,2022-09-28 19:26:04,,,,,,,G2
-1280,Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,G2 Profile Anatomy,20,2022-09-28 19:26:04,2022-09-28 19:38:45,,1,0%,,,G2
-1281,Jonathan Goldberg,jonathan.goldberg@similarweb.com,jonathan.goldberg@similarweb.com,Review Tracking & Brand Building,,2022-09-28 19:26:04,,,,,,,G2
-1282,Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,G2 Profile Anatomy,,2022-09-28 19:25:01,,,,,,,G2
-1283,Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,Review Tracking & Brand Building,,2022-09-28 19:25:01,,,,,,,G2
-1284,Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,Profile Performance & Lead Management,,2022-09-28 19:25:01,,,,,,,G2
-1285,Gilad Salamander,tal.mikaelovich@eclincher.com,tal.mikaelovich@eclincher.com,The Review Rundown,,2022-09-28 19:25:01,,,,,,,G2
-1286,Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,The Review Rundown,,2022-09-28 19:24:36,,,,,,,G2
-1287,Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,Profile Performance & Lead Management,,2022-09-28 19:24:36,,,,,,,G2
-1288,Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,G2 Profile Anatomy,,2022-09-28 19:24:36,,,,,,,G2
-1289,Carla Piccini,carla@trackingtime.co,carla@trackingtime.co,Review Tracking & Brand Building,,2022-09-28 19:24:36,,,,,,,G2
-1290,Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,Profile Performance & Lead Management,,2022-09-28 19:23:51,,,,,,,G2
-1291,Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,Review Tracking & Brand Building,,2022-09-28 19:23:51,,,,,,,G2
-1292,Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,The Review Rundown,,2022-09-28 19:23:51,,,,,,,G2
-1293,Lacey Weber,lacey.weber@helpsystems.com,lacey.weber@helpsystems.com,G2 Profile Anatomy,,2022-09-28 19:23:51,,,,,,,G2
-1294,Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,The Review Rundown,,2022-09-28 19:23:20,,,,,,,G2
-1295,Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,G2 Profile Anatomy,,2022-09-28 19:23:20,,,,,,,G2
-1296,Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,Review Tracking & Brand Building,,2022-09-28 19:23:20,,,,,,,G2
-1297,Lena Vu,lena.vu@thruinc.com,lena.vu@thruinc.com,Profile Performance & Lead Management,,2022-09-28 19:23:20,,,,,,,G2
-1298,emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,G2 Profile Anatomy,,2022-09-28 19:22:58,,,,,,,G2
-1299,emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,Review Tracking & Brand Building,,2022-09-28 19:22:58,,,,,,,G2
-1300,emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,Profile Performance & Lead Management,,2022-09-28 19:22:58,,,,,,,G2
-1301,emma muldoon,emma.muldoon@fiixsoftware.com,emma.muldoon@fiixsoftware.com,The Review Rundown,,2022-09-28 19:22:58,,,,,,,G2
-1302,Rachel Ward,rward@allbound.com,rward@allbound.com,G2 Profile Anatomy,,2022-09-28 19:22:56,,,,,,,G2
-1303,Rachel Ward,rward@allbound.com,rward@allbound.com,Review Tracking & Brand Building,,2022-09-28 19:22:56,,,,,,,G2
-1304,Rachel Ward,rward@allbound.com,rward@allbound.com,The Review Rundown,,2022-09-28 19:22:56,,,,,,,G2
-1305,Rachel Ward,rward@allbound.com,rward@allbound.com,Profile Performance & Lead Management,,2022-09-28 19:22:56,,,,,,,G2
-1306,Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,Review Tracking & Brand Building,,2022-09-28 19:22:54,,,,,,,G2
-1307,Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,G2 Profile Anatomy,,2022-09-28 19:22:54,,,,,,,G2
-1308,Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,Profile Performance & Lead Management,,2022-09-28 19:22:54,,,,,,,G2
-1309,Bill  Rubacky,bill@hellobaton.com,bill@hellobaton.com,The Review Rundown,,2022-09-28 19:22:54,,,,,,,G2
-1310,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,What is the G2 Content Subscription?,9,2022-09-28 19:21:20,2022-09-28 19:21:21,2022-09-28 19:26:15,1,100%,Infographics,2022-09-28 19:26:15,G2
-1311,Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,Review Tracking & Brand Building,,2022-09-28 19:20:04,,,,,,,G2
-1312,Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,The Review Rundown,LIVE,2022-09-28 19:20:04,2022-09-28 19:20:25,,1,0%,,,G2
-1313,Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,Profile Performance & Lead Management,,2022-09-28 19:20:04,,,,,,,G2
-1314,Merve Erdogmus,merdogmus@xmatters.com,merdogmus@xmatters.com,G2 Profile Anatomy,,2022-09-28 19:20:04,,,,,,,G2
-1315,Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,Profile Performance & Lead Management,,2022-09-28 19:18:49,,,,,,,G2
-1316,Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,G2 Profile Anatomy,20,2022-09-28 19:18:49,2022-09-28 19:20:54,,1,0%,,,G2
-1317,Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,G2 Profile Anatomy,LIVE,2022-09-28 19:18:49,2022-11-09 22:02:50,2022-11-09 23:02:17,2,100%,G2 Provided Content,2022-11-09 23:02:17,G2
-1318,Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,Review Tracking & Brand Building,,2022-09-28 19:18:49,,,,,,,G2
-1319,Elvia Ramírez,eramirez@globalization-partners.com,eramirez@globalization-partners.com,The Review Rundown,,2022-09-28 19:18:49,,,,,,,G2
-1320,Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,Review Tracking & Brand Building,,2022-09-28 19:18:24,,,,,,,G2
-1321,Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,G2 Profile Anatomy,,2022-09-28 19:18:24,,,,,,,G2
-1322,Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,The Review Rundown,,2022-09-28 19:18:24,,,,,,,G2
-1323,Sam Mayer,sam.mayer@docusign.com,sam.mayer@docusign.com,Profile Performance & Lead Management,,2022-09-28 19:18:24,,,,,,,G2
-1324,Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,Profile Performance & Lead Management,,2022-09-28 19:17:37,,,,,,,G2
-1325,Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,G2 Profile Anatomy,,2022-09-28 19:17:37,,,,,,,G2
-1326,Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,The Review Rundown,,2022-09-28 19:17:37,,,,,,,G2
-1327,Jeremy Painkin,jeremy.painkin@cascade.app,jeremy.painkin@cascade.app,Review Tracking & Brand Building,,2022-09-28 19:17:37,,,,,,,G2
-1328,Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,The Review Rundown,LIVE,2022-09-28 19:17:27,2022-09-28 20:45:26,,1,0%,,,G2
-1329,Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,Review Tracking & Brand Building,,2022-09-28 19:17:27,,,,,,,G2
-1330,Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,G2 Profile Anatomy,,2022-09-28 19:17:27,,,,,,,G2
-1331,Claudine Ting,claudine.ting@getmaintainx.com,claudine.ting@getmaintainx.com,Profile Performance & Lead Management,,2022-09-28 19:17:27,,,,,,,G2
-1332,Amanda Foster,amanda@spotio.com,amanda@spotio.com,Review Tracking & Brand Building,,2022-09-28 19:17:22,,,,,,,G2
-1333,Amanda Foster,amanda@spotio.com,amanda@spotio.com,The Review Rundown,,2022-09-28 19:17:22,,,,,,,G2
-1334,Amanda Foster,amanda@spotio.com,amanda@spotio.com,G2 Profile Anatomy,,2022-09-28 19:17:22,,,,,,,G2
-1335,Amanda Foster,amanda@spotio.com,amanda@spotio.com,Profile Performance & Lead Management,,2022-09-28 19:17:22,,,,,,,G2
-1336,Christian Beatty,christian@spotio.com,christian@spotio.com,Review Tracking & Brand Building,,2022-09-28 19:17:21,,,,,,,G2
-1337,Christian Beatty,christian@spotio.com,christian@spotio.com,Profile Performance & Lead Management,,2022-09-28 19:17:21,,,,,,,G2
-1338,Christian Beatty,christian@spotio.com,christian@spotio.com,G2 Profile Anatomy,20,2022-09-28 19:17:21,2022-09-28 19:17:27,,1,0%,,,G2
-1339,Christian Beatty,christian@spotio.com,christian@spotio.com,The Review Rundown,,2022-09-28 19:17:21,,,,,,,G2
-1340,Evan Dunn,evan@syncari.com,evan@syncari.com,Profile Performance & Lead Management,,2022-09-28 19:16:56,,,,,,,G2
-1341,Evan Dunn,evan@syncari.com,evan@syncari.com,The Review Rundown,,2022-09-28 19:16:56,,,,,,,G2
-1342,Evan Dunn,evan@syncari.com,evan@syncari.com,Review Tracking & Brand Building,,2022-09-28 19:16:56,,,,,,,G2
-1343,Evan Dunn,evan@syncari.com,evan@syncari.com,G2 Profile Anatomy,,2022-09-28 19:16:56,,,,,,,G2
-1344,Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,The Review Rundown,,2022-09-28 19:16:29,,,,,,,G2
-1345,Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,Profile Performance & Lead Management,,2022-09-28 19:16:29,,,,,,,G2
-1346,Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,G2 Profile Anatomy,,2022-09-28 19:16:29,,,,,,,G2
-1347,Earl Lacey,earl.lacey@myresman.com,earl.lacey@myresman.com,Review Tracking & Brand Building,,2022-09-28 19:16:29,,,,,,,G2
-1348,Jamison Moore,jamison@spotio.com,jamison@spotio.com,Profile Performance & Lead Management,,2022-09-28 19:16:02,,,,,,,G2
-1349,Jamison Moore,jamison@spotio.com,jamison@spotio.com,Review Tracking & Brand Building,,2022-09-28 19:16:02,,,,,,,G2
-1350,Jamison Moore,jamison@spotio.com,jamison@spotio.com,The Review Rundown,,2022-09-28 19:16:02,,,,,,,G2
-1351,Jamison Moore,jamison@spotio.com,jamison@spotio.com,G2 Profile Anatomy,,2022-09-28 19:16:02,,,,,,,G2
-1352,Grayden Knoll,gknoll@relias.com,gknoll@relias.com,G2 Profile Anatomy,,2022-09-28 19:15:52,,,,,,,G2
-1353,Grayden Knoll,gknoll@relias.com,gknoll@relias.com,The Review Rundown,,2022-09-28 19:15:52,,,,,,,G2
-1354,Grayden Knoll,gknoll@relias.com,gknoll@relias.com,Review Tracking & Brand Building,,2022-09-28 19:15:52,,,,,,,G2
-1355,Grayden Knoll,gknoll@relias.com,gknoll@relias.com,Profile Performance & Lead Management,,2022-09-28 19:15:52,,,,,,,G2
-1356,Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Buyer Intent Basics,5,2022-09-28 19:14:45,2022-09-28 19:14:45,,1,17%,What is Buyer Intent and why is it beneficial?,2022-09-28 19:14:59,G2
-1357,Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,G2 Profile Anatomy,,2022-09-28 19:14:10,,,,,,,G2
-1358,Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Profile Performance & Lead Management,,2022-09-28 19:14:10,,,,,,,G2
-1359,Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,The Review Rundown,,2022-09-28 19:14:10,,,,,,,G2
-1360,Zoey Morck,zoey.morck@logz.io,zoey.morck@logz.io,Review Tracking & Brand Building,,2022-09-28 19:14:10,,,,,,,G2
-1361,Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,G2 Profile Anatomy,,2022-09-28 19:13:48,,,,,,,G2
-1362,Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,The Review Rundown,,2022-09-28 19:13:48,,,,,,,G2
-1363,Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,Profile Performance & Lead Management,,2022-09-28 19:13:48,,,,,,,G2
-1364,Andira Fara,demgen@arcfacilities.com,demgen@arcfacilities.com,Review Tracking & Brand Building,,2022-09-28 19:13:48,,,,,,,G2
-1365,Julia Poon,j.poon@method.me,j.poon@method.me,The Review Rundown,,2022-09-28 19:13:43,,,,,,,G2
-1366,Julia Poon,j.poon@method.me,j.poon@method.me,G2 Profile Anatomy,20,2022-09-28 19:13:43,2022-09-28 19:14:10,,1,0%,,,G2
-1367,Julia Poon,j.poon@method.me,j.poon@method.me,Profile Performance & Lead Management,,2022-09-28 19:13:43,,,,,,,G2
-1368,Julia Poon,j.poon@method.me,j.poon@method.me,Review Tracking & Brand Building,,2022-09-28 19:13:43,,,,,,,G2
-1369,Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,Review Tracking & Brand Building,,2022-09-28 19:13:23,,,,,,,G2
-1370,Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,Profile Performance & Lead Management,,2022-09-28 19:13:23,,,,,,,G2
-1371,Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,G2 Profile Anatomy,,2022-09-28 19:13:23,,,,,,,G2
-1372,Annalise Hartley,annalise@mentoringminds.com,annalise@mentoringminds.com,The Review Rundown,,2022-09-28 19:13:23,,,,,,,G2
-1373,Trey Hinsch,thinsch@g2.com,thinsch@g2.com,G2 Profile Anatomy,,2022-09-28 19:12:10,,,,,,,G2
-1374,Trey Hinsch,thinsch@g2.com,thinsch@g2.com,The Review Rundown,,2022-09-28 19:12:10,,,,,,,G2
-1375,Trey Hinsch,thinsch@g2.com,thinsch@g2.com,Review Tracking & Brand Building,,2022-09-28 19:12:10,,,,,,,G2
-1376,Trey Hinsch,thinsch@g2.com,thinsch@g2.com,Profile Performance & Lead Management,,2022-09-28 19:12:10,,,,,,,G2
-1377,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,G2 Profile Anatomy,,2022-09-28 19:11:46,,,,,,,G2
-1378,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,The Review Rundown,,2022-09-28 19:11:46,,,,,,,G2
-1379,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Review Tracking & Brand Building,LIVE,2022-09-28 19:11:46,2022-09-28 19:20:30,,1,0%,,,G2
-1380,Polina  Dvorkin,polina.dvorkin@baltosoftware.com,polina.dvorkin@baltosoftware.com,Profile Performance & Lead Management,LIVE,2022-09-28 19:11:46,2022-09-28 19:20:44,2022-09-28 20:29:00,1,100%,Lead Webhooks,2022-09-28 20:29:00,G2
-1381,Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,Review Tracking & Brand Building,,2022-09-28 19:11:44,,,,,,,G2
-1382,Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,G2 Profile Anatomy,,2022-09-28 19:11:44,,,,,,,G2
-1383,Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,The Review Rundown,,2022-09-28 19:11:44,,,,,,,G2
-1384,Lauren McCutcheon,lmccutcheon@reputation.com,lmccutcheon@reputation.com,Profile Performance & Lead Management,,2022-09-28 19:11:44,,,,,,,G2
-1385,Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,Profile Performance & Lead Management,,2022-09-28 19:11:38,,,,,,,G2
-1386,Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,Profile Performance & Lead Management,,2022-09-28 19:11:38,,,,,,,G2
-1387,Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,G2 Profile Anatomy,,2022-09-28 19:11:38,,,,,,,G2
-1388,Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,Review Tracking & Brand Building,,2022-09-28 19:11:38,,,,,,,G2
-1389,Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,Review Tracking & Brand Building,,2022-09-28 19:11:38,,,,,,,G2
-1390,Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,G2 Profile Anatomy,,2022-09-28 19:11:38,,,,,,,G2
-1391,Rebecca Laverty,rebecca.laverty@rallyware.com,rebecca.laverty@rallyware.com,The Review Rundown,,2022-09-28 19:11:38,,,,,,,G2
-1392,Diego Gosmar,diego.gosmar@xcally.com,diego.gosmar@xcally.com,The Review Rundown,,2022-09-28 19:11:38,,,,,,,G2
-1393,Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,How to Respond to Reviews,LIVE,2022-09-28 19:11:09,2022-09-28 19:11:10,2022-09-28 19:14:01,1,100%,Justified Negative Reviews,2022-09-28 19:14:01,G2
-1394,Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,Review Tracking & Brand Building,,2022-09-28 19:10:21,,,,,,,G2
-1395,Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,G2 Profile Anatomy,,2022-09-28 19:10:21,,,,,,,G2
-1396,Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,Profile Performance & Lead Management,,2022-09-28 19:10:21,,,,,,,G2
-1397,Ryan Mullin,rmullin@cleo.com,rmullin@cleo.com,The Review Rundown,,2022-09-28 19:10:21,,,,,,,G2
-1398,Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,Profile Performance & Lead Management,,2022-09-28 19:10:20,,,,,,,G2
-1399,Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,The Review Rundown,,2022-09-28 19:10:20,,,,,,,G2
-1400,Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,G2 Profile Anatomy,,2022-09-28 19:10:20,,,,,,,G2
-1401,Carolyn Bradley,carolyn.bradley@skilljar.com,carolyn.bradley@skilljar.com,Review Tracking & Brand Building,LIVE,2022-09-28 19:10:20,2022-09-28 19:30:26,,1,0%,,,G2
-1402,Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,The Review Rundown,,2022-09-28 19:09:46,,,,,,,G2
-1403,Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,Profile Performance & Lead Management,,2022-09-28 19:09:46,,,,,,,G2
-1404,Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,Review Tracking & Brand Building,,2022-09-28 19:09:46,,,,,,,G2
-1405,Adrian Nestico,adrian.nestico@pendo.io,adrian.nestico@pendo.io,G2 Profile Anatomy,,2022-09-28 19:09:46,,,,,,,G2
-1406,Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,The Review Rundown,LIVE,2022-09-28 19:09:28,2022-09-28 19:14:50,,1,14%,What are Reviews?,2022-09-28 19:15:13,G2
-1407,Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,G2 Profile Anatomy,,2022-09-28 19:09:28,,,,,,,G2
-1408,Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,Review Tracking & Brand Building,,2022-09-28 19:09:28,,,,,,,G2
-1409,Romina Balanzzino,romina.balanzzino@amplitude.com,romina.balanzzino@amplitude.com,Profile Performance & Lead Management,,2022-09-28 19:09:28,,,,,,,G2
-1410,Gina Carr,gcarr@g2.com,gcarr@g2.com,Profile Performance & Lead Management,LIVE,2022-09-28 19:09:23,2022-09-28 21:05:14,2022-09-28 21:05:49,1,100%,Lead Webhooks,2022-09-28 21:05:49,G2
-1411,Gina Carr,gcarr@g2.com,gcarr@g2.com,The Review Rundown,,2022-09-28 19:09:23,,,,,,,G2
-1412,Gina Carr,gcarr@g2.com,gcarr@g2.com,Review Tracking & Brand Building,,2022-09-28 19:09:23,,,,,,,G2
-1413,Gina Carr,gcarr@g2.com,gcarr@g2.com,G2 Profile Anatomy,,2022-09-28 19:09:23,,,,,,,G2
-1414,Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,Review Tracking & Brand Building,,2022-09-28 19:09:12,,,,,,,G2
-1415,Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,G2 Profile Anatomy,,2022-09-28 19:09:12,,,,,,,G2
-1416,Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,Profile Performance & Lead Management,,2022-09-28 19:09:12,,,,,,,G2
-1417,Mike Chantigian,mike.chantigian@zinfitech.com,mike.chantigian@zinfitech.com,The Review Rundown,,2022-09-28 19:09:12,,,,,,,G2
-1418,David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,Profile Performance & Lead Management,,2022-09-28 19:06:42,,,,,,,G2
-1419,David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,G2 Profile Anatomy,,2022-09-28 19:06:42,,,,,,,G2
-1420,David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,Review Tracking & Brand Building,,2022-09-28 19:06:42,,,,,,,G2
-1421,David Gales,david.gales@oysterhr.com,david.gales@oysterhr.com,The Review Rundown,,2022-09-28 19:06:42,,,,,,,G2
-1422,Justine Woo,justine@junipersquare.com,justine@junipersquare.com,The Review Rundown,,2022-09-28 19:05:42,,,,,,,G2
-1423,Justine Woo,justine@junipersquare.com,justine@junipersquare.com,Profile Performance & Lead Management,,2022-09-28 19:05:42,,,,,,,G2
-1424,Justine Woo,justine@junipersquare.com,justine@junipersquare.com,G2 Profile Anatomy,,2022-09-28 19:05:42,,,,,,,G2
-1425,Justine Woo,justine@junipersquare.com,justine@junipersquare.com,Review Tracking & Brand Building,,2022-09-28 19:05:42,,,,,,,G2
-1426,nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,G2 Profile Anatomy,,2022-09-28 19:05:25,,,,,,,G2
-1427,nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,The Review Rundown,,2022-09-28 19:05:25,,,,,,,G2
-1428,nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,Review Tracking & Brand Building,,2022-09-28 19:05:25,,,,,,,G2
-1429,nada erradi,nada.e@uxpertise.ca,nada.e@uxpertise.ca,Profile Performance & Lead Management,,2022-09-28 19:05:25,,,,,,,G2
-1430,Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,Profile Performance & Lead Management,,2022-09-28 19:05:11,,,,,,,G2
-1431,Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,The Review Rundown,,2022-09-28 19:05:11,,,,,,,G2
-1432,Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,Review Tracking & Brand Building,,2022-09-28 19:05:11,,,,,,,G2
-1433,Mark Calcote,mark.calcote@infegy.com,mark.calcote@infegy.com,G2 Profile Anatomy,,2022-09-28 19:05:11,,,,,,,G2
-1434,Mike Sabin,msabin@g2.com,msabin@g2.com,G2 Profile Anatomy,LIVE,2022-09-28 19:05:09,2022-11-15 18:18:51,,2,0%,,2022-11-15 18:18:51,G2
-1435,Mike Sabin,msabin@g2.com,msabin@g2.com,Profile Performance & Lead Management,,2022-09-28 19:05:09,,,,,,,G2
-1436,Mike Sabin,msabin@g2.com,msabin@g2.com,Review Tracking & Brand Building,,2022-09-28 19:05:09,,,,,,,G2
-1437,Mike Sabin,msabin@g2.com,msabin@g2.com,G2 Profile Anatomy,20,2022-09-28 19:05:09,2022-09-28 19:05:20,,1,0%,,,G2
-1438,Mike Sabin,msabin@g2.com,msabin@g2.com,The Review Rundown,,2022-09-28 19:05:09,,,,,,,G2
-1439,Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,Review Tracking & Brand Building,,2022-09-28 19:04:45,,,,,,,G2
-1440,Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,G2 Profile Anatomy,,2022-09-28 19:04:45,,,,,,,G2
-1441,Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,The Review Rundown,LIVE,2022-09-28 19:04:45,2022-11-07 22:29:20,,1,0%,,,G2
-1442,Ghianda Boykin,gboykin@axway.com,gboykin@axway.com,Profile Performance & Lead Management,,2022-09-28 19:04:45,,,,,,,G2
-1443,Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,Profile Performance & Lead Management,,2022-09-28 19:04:26,,,,,,,G2
-1444,Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,The Review Rundown,,2022-09-28 19:04:26,,,,,,,G2
-1445,Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,Review Tracking & Brand Building,,2022-09-28 19:04:26,,,,,,,G2
-1446,Christian DIAL,christian.dial@n-able.com,christian.dial@n-able.com,G2 Profile Anatomy,,2022-09-28 19:04:26,,,,,,,G2
-1447,Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,G2 Profile Anatomy,,2022-09-28 19:01:37,,,,,,,G2
-1448,Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,Review Tracking & Brand Building,,2022-09-28 19:01:37,,,,,,,G2
-1449,Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,The Review Rundown,,2022-09-28 19:01:37,,,,,,,G2
-1450,Werda  Shermeen Zia,werda@autoleap.com,werda@autoleap.com,Profile Performance & Lead Management,,2022-09-28 19:01:37,,,,,,,G2
-1451,Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,The Review Rundown,,2022-09-28 18:52:24,,,,,,,G2
-1452,Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,Review Tracking & Brand Building,,2022-09-28 18:52:24,,,,,,,G2
-1453,Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,G2 Profile Anatomy,,2022-09-28 18:52:24,,,,,,,G2
-1454,Eliza Miller,emiller@directiveconsulting.com,emiller@directiveconsulting.com,Profile Performance & Lead Management,,2022-09-28 18:52:24,,,,,,,G2
-1455,Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,G2 Profile Anatomy,20,2022-09-28 18:49:03,2022-09-28 18:49:12,,1,17%,What is the Value of a G2 Profile?,2022-09-29 14:32:33,G2
-1456,Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,The Review Rundown,,2022-09-28 18:49:03,,,,,,,G2
-1457,Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,Review Tracking & Brand Building,,2022-09-28 18:49:03,,,,,,,G2
-1458,Camille  Stokes,cstokes@saasoptics.com,cstokes@saasoptics.com,Profile Performance & Lead Management,,2022-09-28 18:49:03,,,,,,,G2
-1459,Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,Profile Performance & Lead Management,,2022-09-28 18:46:07,,,,,,,G2
-1460,Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,The Review Rundown,,2022-09-28 18:46:07,,,,,,,G2
-1461,Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,Review Tracking & Brand Building,,2022-09-28 18:46:07,,,,,,,G2
-1462,Sophie Kearney,sophie.kearney@contentsquare.com,sophie.kearney@contentsquare.com,G2 Profile Anatomy,,2022-09-28 18:46:07,,,,,,,G2
-1463,Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,The Review Rundown,,2022-09-28 18:36:18,,,,,,,G2
-1464,Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,Profile Performance & Lead Management,,2022-09-28 18:36:18,,,,,,,G2
-1465,Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,G2 Profile Anatomy,,2022-09-28 18:36:18,,,,,,,G2
-1466,Tarun Arora,tarun.arora@workiva.com,tarun.arora@workiva.com,Review Tracking & Brand Building,,2022-09-28 18:36:18,,,,,,,G2
-1467,Liam  Collins,liam@builder.ai,liam@builder.ai,G2 Profile Anatomy,,2022-09-28 18:27:02,,,,,,,G2
-1468,Liam  Collins,liam@builder.ai,liam@builder.ai,The Review Rundown,,2022-09-28 18:27:02,,,,,,,G2
-1469,Liam  Collins,liam@builder.ai,liam@builder.ai,Profile Performance & Lead Management,,2022-09-28 18:27:02,,,,,,,G2
-1470,Liam  Collins,liam@builder.ai,liam@builder.ai,Review Tracking & Brand Building,,2022-09-28 18:27:02,,,,,,,G2
-1471,Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,Review Tracking & Brand Building,,2022-09-28 18:23:52,,,,,,,G2
-1472,Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,The Review Rundown,,2022-09-28 18:23:52,,,,,,,G2
-1473,Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,Profile Performance & Lead Management,,2022-09-28 18:23:52,,,,,,,G2
-1474,Caitlin Caswell,caitlin.caswell@gladly.com,caitlin.caswell@gladly.com,G2 Profile Anatomy,,2022-09-28 18:23:52,,,,,,,G2
-1475,Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,G2 Profile Anatomy,,2022-09-28 18:23:15,,,,,,,G2
-1476,Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,Review Tracking & Brand Building,,2022-09-28 18:23:15,,,,,,,G2
-1477,Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,Profile Performance & Lead Management,,2022-09-28 18:23:15,,,,,,,G2
-1478,Nicole Tan,nicole@scratchpad.com,nicole@scratchpad.com,The Review Rundown,,2022-09-28 18:23:15,,,,,,,G2
-1479,Christian Terry,christian@olive.app,christian@olive.app,How to Use Buyer Intent,LIVE,2022-09-28 18:22:59,2022-09-28 18:22:59,,1,0%,,,G2
-1480,Christian Terry,christian@olive.app,christian@olive.app,Profile Performance & Lead Management,LIVE,2022-09-28 18:22:27,2022-09-28 18:23:42,,1,0%,,,G2
-1481,Christian Terry,christian@olive.app,christian@olive.app,Review Tracking & Brand Building,,2022-09-28 18:22:27,,,,,,,G2
-1482,Christian Terry,christian@olive.app,christian@olive.app,The Review Rundown,,2022-09-28 18:22:27,,,,,,,G2
-1483,Christian Terry,christian@olive.app,christian@olive.app,G2 Profile Anatomy,,2022-09-28 18:22:27,,,,,,,G2
-1484,Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,Review Tracking & Brand Building,,2022-09-28 18:16:45,,,,,,,G2
-1485,Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,Profile Performance & Lead Management,,2022-09-28 18:16:45,,,,,,,G2
-1486,Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,The Review Rundown,,2022-09-28 18:16:45,,,,,,,G2
-1487,Samira McDonald,samira.mcdonald@akeneo.com,samira.mcdonald@akeneo.com,G2 Profile Anatomy,20,2022-09-28 18:16:45,2022-09-28 18:16:57,,1,0%,,,G2
-1488,Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,Profile Performance & Lead Management,,2022-09-28 18:14:51,,,,,,,G2
-1489,Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,G2 Profile Anatomy,,2022-09-28 18:14:51,,,,,,,G2
-1490,Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,The Review Rundown,LIVE,2022-09-28 18:14:51,2022-11-11 11:07:16,,1,0%,,,G2
-1491,Kalee Kapoor,kkapoor@g2.com,kkapoor@g2.com,Review Tracking & Brand Building,,2022-09-28 18:14:51,,,,,,,G2
-1492,Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,G2 Profile Anatomy,20,2022-09-28 18:07:41,2022-09-28 18:08:12,,1,0%,,,G2
-1493,Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,Review Tracking & Brand Building,,2022-09-28 18:07:41,,,,,,,G2
-1494,Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,The Review Rundown,11,2022-09-28 18:07:41,2022-09-28 18:09:35,,1,0%,,,G2
-1495,Meg O'Hearn,megohearn@onesignal.com,megohearn@onesignal.com,Profile Performance & Lead Management,,2022-09-28 18:07:41,,,,,,,G2
-1496,Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,How to Use Buyer Intent,LIVE,2022-09-28 17:58:23,2022-09-28 17:58:23,,1,0%,,,G2
-1497,Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,G2 Profile Anatomy,,2022-09-28 17:57:44,,,,,,,G2
-1498,Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,Review Tracking & Brand Building,,2022-09-28 17:57:44,,,,,,,G2
-1499,Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,Profile Performance & Lead Management,,2022-09-28 17:57:44,,,,,,,G2
-1500,Scott Winter,scheduleoncesynch@hapara.com,scheduleoncesynch@hapara.com,The Review Rundown,,2022-09-28 17:57:44,,,,,,,G2
-1501,Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,The Review Rundown,,2022-09-28 17:57:08,,,,,,,G2
-1502,Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,Profile Performance & Lead Management,,2022-09-28 17:57:08,,,,,,,G2
-1503,Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,Review Tracking & Brand Building,,2022-09-28 17:57:08,,,,,,,G2
-1504,Jenny Jordan,jennifer@tremendous.com,jennifer@tremendous.com,G2 Profile Anatomy,,2022-09-28 17:57:08,,,,,,,G2
-1505,Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,How to Respond to Reviews,LIVE,2022-09-28 17:52:47,2022-09-28 17:52:47,2022-09-29 18:58:02,1,100%,Justified Negative Reviews,2022-09-29 18:58:02,G2
-1506,Hannah Mathew,hannah@louassist.com,hannah@louassist.com,G2 Profile Anatomy,20,2022-09-28 17:51:46,2022-09-28 17:52:03,,1,0%,,,G2
-1507,Hannah Mathew,hannah@louassist.com,hannah@louassist.com,Review Tracking & Brand Building,LIVE,2022-09-28 17:51:46,2022-10-10 16:04:54,,1,0%,,,G2
-1508,Hannah Mathew,hannah@louassist.com,hannah@louassist.com,The Review Rundown,,2022-09-28 17:51:46,,,,,,,G2
-1509,Hannah Mathew,hannah@louassist.com,hannah@louassist.com,Profile Performance & Lead Management,,2022-09-28 17:51:46,,,,,,,G2
-1510,Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,How to Use Buyer Intent,LIVE,2022-09-28 17:48:49,2022-09-28 17:48:50,,1,0%,,,G2
-1511,Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,G2 Profile Anatomy,,2022-09-28 17:34:53,,,,,,,G2
-1512,Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,The Review Rundown,,2022-09-28 17:34:53,,,,,,,G2
-1513,Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,Review Tracking & Brand Building,,2022-09-28 17:34:53,,,,,,,G2
-1514,Alanna Jordan,alanna.jordan@altium.com,alanna.jordan@altium.com,Profile Performance & Lead Management,,2022-09-28 17:34:53,,,,,,,G2
-1515,Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,Profile Performance & Lead Management,,2022-09-28 17:34:12,,,,,,,G2
-1516,Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,G2 Profile Anatomy,,2022-09-28 17:34:12,,,,,,,G2
-1517,Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,Review Tracking & Brand Building,,2022-09-28 17:34:12,,,,,,,G2
-1518,Rachel Rappaport,rachel.rappaport@bizzabo.com,rachel.rappaport@bizzabo.com,The Review Rundown,,2022-09-28 17:34:12,,,,,,,G2
-1519,Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,G2 Profile Anatomy,20,2022-09-28 16:52:52,2022-09-28 16:53:01,,1,17%,What is the Value of a G2 Profile?,2022-09-28 16:56:19,G2
-1520,Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,Profile Performance & Lead Management,,2022-09-28 16:52:52,,,,,,,G2
-1521,Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,The Review Rundown,,2022-09-28 16:52:52,,,,,,,G2
-1522,Danhel  Fajardo,danhel.fajardo@goanimate.com,danhel.fajardo@goanimate.com,Review Tracking & Brand Building,,2022-09-28 16:52:52,,,,,,,G2
-1523,Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,Review Tracking & Brand Building,,2022-09-28 16:42:02,,,,,,,G2
-1524,Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,G2 Profile Anatomy,,2022-09-28 16:42:02,,,,,,,G2
-1525,Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,Profile Performance & Lead Management,,2022-09-28 16:42:02,,,,,,,G2
-1526,Craig Rankin,craig.rankin@duda.co,craig.rankin@duda.co,The Review Rundown,,2022-09-28 16:42:02,,,,,,,G2
-1527,Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,Review Tracking & Brand Building,,2022-09-28 16:41:03,,,,,,,G2
-1528,Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,Profile Performance & Lead Management,,2022-09-28 16:41:03,,,,,,,G2
-1529,Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,The Review Rundown,,2022-09-28 16:41:03,,,,,,,G2
-1530,Tracey Landstrom,tracey.landstrom@gmail.com,tracey.landstrom@gmail.com,G2 Profile Anatomy,20,2022-09-28 16:41:03,2022-09-28 18:41:12,,1,0%,,,G2
-1531,Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,Profile Performance & Lead Management,,2022-09-28 16:39:29,,,,,,,G2
-1532,Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,Review Tracking & Brand Building,,2022-09-28 16:39:29,,,,,,,G2
-1533,Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,G2 Profile Anatomy,20,2022-09-28 16:39:29,2022-10-03 16:55:10,,1,0%,,,G2
-1534,Gina Denenberg,gdenenberg@g2.com,gdenenberg@g2.com,The Review Rundown,LIVE,2022-09-28 16:39:29,2022-10-03 16:55:40,,1,0%,,,G2
-1535,Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,G2 Profile Anatomy,,2022-09-28 16:34:27,,,,,,,G2
-1536,Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,Review Tracking & Brand Building,,2022-09-28 16:34:27,,,,,,,G2
-1537,Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,Profile Performance & Lead Management,LIVE,2022-09-28 16:34:27,2022-09-28 16:34:48,,1,0%,,,G2
-1538,Omari Starks,ostarks@brightidea.com,ostarks@brightidea.com,The Review Rundown,LIVE,2022-09-28 16:34:27,2022-09-28 20:41:40,,1,0%,,,G2
-1539,Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,Profile Performance & Lead Management,,2022-09-28 16:31:26,,,,,,,G2
-1540,Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,G2 Profile Anatomy,,2022-09-28 16:31:26,,,,,,,G2
-1541,Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,Review Tracking & Brand Building,,2022-09-28 16:31:26,,,,,,,G2
-1542,Mary Green,marygreencny@gmail.com,marygreencny@gmail.com,The Review Rundown,,2022-09-28 16:31:26,,,,,,,G2
-1543,David Vero,dvero@successfinder.com,dvero@successfinder.com,Profile Performance & Lead Management,LIVE,2022-09-28 16:24:23,2022-10-17 20:04:25,2022-10-17 20:32:41,1,100%,Lead Webhooks,2022-10-17 20:32:41,G2
-1544,David Vero,dvero@successfinder.com,dvero@successfinder.com,Review Tracking & Brand Building,LIVE,2022-09-28 16:24:23,2022-09-29 18:24:03,2022-10-17 20:04:10,1,100%,Review Integrations,2022-10-17 20:04:10,G2
-1545,David Vero,dvero@successfinder.com,dvero@successfinder.com,G2 Profile Anatomy,20,2022-09-28 16:24:23,2022-09-28 18:38:07,2022-09-28 18:51:54,1,100%,Top Tips Recap,2022-09-28 18:51:54,G2
-1546,David Vero,dvero@successfinder.com,dvero@successfinder.com,The Review Rundown,11,2022-09-28 16:24:23,2022-09-28 18:52:28,2022-09-28 18:57:29,1,100%,Review Moderation,2022-09-28 18:57:29,G2
-1547,Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,How to Use Buyer Intent,LIVE,2022-09-28 16:23:36,2022-09-28 16:23:37,2022-09-28 16:28:40,1,100%,Buyer Intent Score Filter Recommendations,2022-09-28 16:28:40,G2
-1548,Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,Profile Performance & Lead Management,,2022-09-28 16:13:35,,,,,,,G2
-1549,Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,Review Tracking & Brand Building,LIVE,2022-09-28 16:13:35,2022-09-29 18:34:43,2022-09-29 18:36:21,1,100%,Review Integrations,2022-09-29 18:36:21,G2
-1550,Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,The Review Rundown,11,2022-09-28 16:13:35,2022-09-28 16:18:03,,1,57%,Types of G2 Review Generation,2022-09-28 17:54:26,G2
-1551,Jake Sotir,jake.sotir@gmail.com,jake.sotir@gmail.com,G2 Profile Anatomy,20,2022-09-28 16:13:35,2022-09-28 16:17:46,,1,0%,,,G2
-1552,Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,Profile Performance & Lead Management,,2022-09-28 16:09:43,,,,,,,G2
-1553,Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,The Review Rundown,,2022-09-28 16:09:43,,,,,,,G2
-1554,Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,Review Tracking & Brand Building,,2022-09-28 16:09:43,,,,,,,G2
-1555,Ken Almack,ken.almack@phenompeople.com,ken.almack@phenompeople.com,G2 Profile Anatomy,,2022-09-28 16:09:43,,,,,,,G2
-1556,Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,The Review Rundown,,2022-09-28 15:55:40,,,,,,,G2
-1557,Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,Profile Performance & Lead Management,,2022-09-28 15:55:40,,,,,,,G2
-1558,Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,G2 Profile Anatomy,20,2022-09-28 15:55:40,2022-10-27 18:53:14,2022-10-27 19:08:35,1,100%,Top Tips Recap,2022-10-27 19:08:35,G2
-1559,Mandy Parisi,mandy@optimoroute.com,mandy@optimoroute.com,Review Tracking & Brand Building,LIVE,2022-09-28 15:55:40,2022-10-28 13:00:39,2022-10-28 16:22:21,1,100%,Marketing Content: G2 Badges,2022-10-28 16:22:21,G2
-1560,Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,Review Tracking & Brand Building,,2022-09-28 15:54:52,,,,,,,G2
-1561,Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,G2 Profile Anatomy,,2022-09-28 15:54:52,,,,,,,G2
-1562,Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,The Review Rundown,,2022-09-28 15:54:52,,,,,,,G2
-1563,Meesha Jotshi,mjotshi@g2.com,mjotshi@g2.com,Profile Performance & Lead Management,,2022-09-28 15:54:52,,,,,,,G2
-1564,Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,G2 Profile Anatomy,,2022-09-28 15:45:39,,,,,,,G2
-1565,Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,Profile Performance & Lead Management,,2022-09-28 15:45:39,,,,,,,G2
-1566,Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,The Review Rundown,,2022-09-28 15:45:39,,,,,,,G2
-1567,Jessica Condupa,jessicacondupa@gmail.com,jessicacondupa@gmail.com,Review Tracking & Brand Building,,2022-09-28 15:45:39,,,,,,,G2
-1568,Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,G2 Profile Anatomy,,2022-09-28 15:19:05,,,,,,,G2
-1569,Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,Review Tracking & Brand Building,,2022-09-28 15:19:05,,,,,,,G2
-1570,Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,Profile Performance & Lead Management,,2022-09-28 15:19:05,,,,,,,G2
-1571,Olivia Morales,olivia@leasecake.com,olivia@leasecake.com,The Review Rundown,,2022-09-28 15:19:05,,,,,,,G2
-1572,Michael Lydon,mlydon@g2.com,mlydon@g2.com,Review Tracking & Brand Building,,2022-09-28 15:15:02,,,,,,,G2
-1573,Michael Lydon,mlydon@g2.com,mlydon@g2.com,Profile Performance & Lead Management,,2022-09-28 15:15:02,,,,,,,G2
-1574,Michael Lydon,mlydon@g2.com,mlydon@g2.com,G2 Profile Anatomy,20,2022-09-28 15:15:02,2022-09-28 15:15:10,,1,0%,,,G2
-1575,Michael Lydon,mlydon@g2.com,mlydon@g2.com,The Review Rundown,,2022-09-28 15:15:02,,,,,,,G2
-1576,Jamie Perl,jperl@g2.com,jperl@g2.com,G2 Profile Anatomy,,2022-09-28 15:05:52,,,,,,,G2
-1577,Jamie Perl,jperl@g2.com,jperl@g2.com,Review Tracking & Brand Building,LIVE,2022-09-28 15:05:52,2022-10-04 19:57:45,,1,0%,,,G2
-1578,Jamie Perl,jperl@g2.com,jperl@g2.com,The Review Rundown,LIVE,2022-09-28 15:05:52,2022-09-29 16:27:25,,1,0%,,,G2
-1579,Jamie Perl,jperl@g2.com,jperl@g2.com,Profile Performance & Lead Management,,2022-09-28 15:05:52,,,,,,,G2
-1580,Shenal Mendis,shenal@wso2.com,shenal@wso2.com,The Review Rundown,,2022-09-28 14:59:20,,,,,,,G2
-1581,Shenal Mendis,shenal@wso2.com,shenal@wso2.com,Profile Performance & Lead Management,,2022-09-28 14:59:20,,,,,,,G2
-1582,Shenal Mendis,shenal@wso2.com,shenal@wso2.com,G2 Profile Anatomy,,2022-09-28 14:59:20,,,,,,,G2
-1583,Shenal Mendis,shenal@wso2.com,shenal@wso2.com,Review Tracking & Brand Building,,2022-09-28 14:59:20,,,,,,,G2
-1584,Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,Review Tracking & Brand Building,,2022-09-28 14:50:11,,,,,,,G2
-1585,Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,G2 Profile Anatomy,,2022-09-28 14:50:11,,,,,,,G2
-1586,Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,The Review Rundown,,2022-09-28 14:50:11,,,,,,,G2
-1587,Michael Mischke,mmischke@egnyte.com,mmischke@egnyte.com,Profile Performance & Lead Management,,2022-09-28 14:50:11,,,,,,,G2
-1588,Dylan Ward,dward@slicktext.com,dward@slicktext.com,Review Tracking & Brand Building,,2022-09-28 14:46:12,,,,,,,G2
-1589,Dylan Ward,dward@slicktext.com,dward@slicktext.com,G2 Profile Anatomy,,2022-09-28 14:46:12,,,,,,,G2
-1590,Dylan Ward,dward@slicktext.com,dward@slicktext.com,Profile Performance & Lead Management,,2022-09-28 14:46:12,,,,,,,G2
-1591,Dylan Ward,dward@slicktext.com,dward@slicktext.com,The Review Rundown,11,2022-09-28 14:46:12,2022-09-28 14:46:56,2022-09-28 14:52:33,1,100%,Review Moderation,2022-09-28 14:52:33,G2
-1592,Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,G2 Profile Anatomy,,2022-09-28 14:43:17,,,,,,,G2
-1593,Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,The Review Rundown,,2022-09-28 14:43:17,,,,,,,G2
-1594,Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,Profile Performance & Lead Management,,2022-09-28 14:43:17,,,,,,,G2
-1595,Stephen Lawless,stlawless5@gmail.com,stlawless5@gmail.com,Review Tracking & Brand Building,,2022-09-28 14:43:17,,,,,,,G2
-1596,Ahmad Ansari,aansari@g2.com,aansari@g2.com,Profile Performance & Lead Management,,2022-09-28 14:39:27,,,,,,,G2
-1597,Ahmad Ansari,aansari@g2.com,aansari@g2.com,The Review Rundown,,2022-09-28 14:39:27,,,,,,,G2
-1598,Ahmad Ansari,aansari@g2.com,aansari@g2.com,Review Tracking & Brand Building,,2022-09-28 14:39:27,,,,,,,G2
-1599,Ahmad Ansari,aansari@g2.com,aansari@g2.com,G2 Profile Anatomy,,2022-09-28 14:39:27,,,,,,,G2
-1600,Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,Review Tracking & Brand Building,LIVE,2022-09-28 14:35:24,2022-09-28 14:35:46,,1,0%,,,G2
-1601,Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,G2 Profile Anatomy,,2022-09-28 14:35:24,,,,,,,G2
-1602,Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,Profile Performance & Lead Management,,2022-09-28 14:35:24,,,,,,,G2
-1603,Clark Maxwell,cmaxwell@fleetio.com,cmaxwell@fleetio.com,The Review Rundown,,2022-09-28 14:35:24,,,,,,,G2
-1604,Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,Profile Performance & Lead Management,,2022-09-28 14:34:04,,,,,,,G2
-1605,Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,G2 Profile Anatomy,,2022-09-28 14:34:04,,,,,,,G2
-1606,Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,The Review Rundown,,2022-09-28 14:34:04,,,,,,,G2
-1607,Colin S K,ckellymelb@gmail.com,ckellymelb@gmail.com,Review Tracking & Brand Building,,2022-09-28 14:34:04,,,,,,,G2
-1608,Brenden Oslund,boslund@g2.com,boslund@g2.com,G2 Profile Anatomy,,2022-09-28 14:29:34,,,,,,,G2
-1609,Brenden Oslund,boslund@g2.com,boslund@g2.com,Profile Performance & Lead Management,,2022-09-28 14:29:34,,,,,,,G2
-1610,Brenden Oslund,boslund@g2.com,boslund@g2.com,The Review Rundown,,2022-09-28 14:29:34,,,,,,,G2
-1611,Brenden Oslund,boslund@g2.com,boslund@g2.com,Review Tracking & Brand Building,,2022-09-28 14:29:34,,,,,,,G2
-1612,Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,G2 Profile Anatomy,,2022-09-28 14:25:50,,,,,,,G2
-1613,Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,Profile Performance & Lead Management,,2022-09-28 14:25:50,,,,,,,G2
-1614,Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,Review Tracking & Brand Building,,2022-09-28 14:25:50,,,,,,,G2
-1615,Abhilash Chowdhury,achowdhury@g2.com,achowdhury@g2.com,The Review Rundown,,2022-09-28 14:25:50,,,,,,,G2
-1616,Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,The Review Rundown,11,2022-09-28 14:15:49,2022-09-28 18:23:59,,1,14%,Intro/4 Pillars,2022-10-13 14:17:20,G2
-1617,Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,Review Tracking & Brand Building,,2022-09-28 14:15:49,,,,,,,G2
-1618,Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,Profile Performance & Lead Management,LIVE,2022-09-28 14:15:49,2022-10-12 21:36:20,,1,13%,Lead Activity & Lead Emails,2022-10-12 21:36:34,G2
-1619,Erin Satterthwaite,esatterthwaite@g2.com,esatterthwaite@g2.com,G2 Profile Anatomy,20,2022-09-28 14:15:49,2022-10-17 18:15:49,,1,0%,,,G2
-1620,Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,Review Tracking & Brand Building,,2022-09-28 14:02:37,,,,,,,G2
-1621,Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,Profile Performance & Lead Management,,2022-09-28 14:02:37,,,,,,,G2
-1622,Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,The Review Rundown,,2022-09-28 14:02:37,,,,,,,G2
-1623,Kade Herbert,kadeherbert117@gmail.com,kadeherbert117@gmail.com,G2 Profile Anatomy,,2022-09-28 14:02:37,,,,,,,G2
-1624,Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,G2 Profile Anatomy,,2022-09-28 13:56:31,,,,,,,G2
-1625,Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,Profile Performance & Lead Management,,2022-09-28 13:56:31,,,,,,,G2
-1626,Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,The Review Rundown,,2022-09-28 13:56:31,,,,,,,G2
-1627,Katlin Hess,katlin.hess@gmail.com,katlin.hess@gmail.com,Review Tracking & Brand Building,,2022-09-28 13:56:31,,,,,,,G2
-1628,Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,Profile Performance & Lead Management,,2022-09-28 13:52:41,,,,,,,G2
-1629,Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,The Review Rundown,,2022-09-28 13:52:41,,,,,,,G2
-1630,Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,Review Tracking & Brand Building,,2022-09-28 13:52:41,,,,,,,G2
-1631,Victoria LaPlante,victoria.laplante@floqast.com,victoria.laplante@floqast.com,G2 Profile Anatomy,,2022-09-28 13:52:41,,,,,,,G2
-1632,Tim Silber,tsilber@g2.com,tsilber@g2.com,How to Use Buyer Intent,LIVE,2022-09-28 13:46:57,2022-09-28 13:46:58,,1,0%,,,G2
-1633,Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,Profile Performance & Lead Management,LIVE,2022-09-28 13:46:46,2022-09-29 13:55:39,,1,0%,,,G2
-1634,Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,Review Tracking & Brand Building,,2022-09-28 13:46:46,,,,,,,G2
-1635,Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,The Review Rundown,,2022-09-28 13:46:46,,,,,,,G2
-1636,Jill Skene,jill.skene@iwave.com,jill.skene@iwave.com,G2 Profile Anatomy,,2022-09-28 13:46:46,,,,,,,G2
-1637,Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,The Review Rundown,11,2022-09-28 13:46:40,2022-09-28 13:46:59,2022-09-28 13:57:23,1,100%,Review Moderation,2022-09-28 13:57:23,G2
-1638,Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,G2 Profile Anatomy,,2022-09-28 13:46:40,,,,,,,G2
-1639,Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,Profile Performance & Lead Management,,2022-09-28 13:46:40,,,,,,,G2
-1640,Rachel Gelbert,rgelbert@g2.com,rgelbert@g2.com,Review Tracking & Brand Building,,2022-09-28 13:46:40,,,,,,,G2
-1641,Tim Silber,tsilber@g2.com,tsilber@g2.com,Buyer Intent Basics,5,2022-09-28 13:45:53,2022-09-28 13:45:53,,1,50%,Integrations,2022-10-07 17:51:49,G2
-1642,Richard Posluszny,richard@northpass.com,richard@northpass.com,The Review Rundown,11,2022-09-28 13:42:58,2022-09-28 13:43:27,,1,14%,What are Reviews?,2022-09-28 15:49:04,G2
-1643,Richard Posluszny,richard@northpass.com,richard@northpass.com,Review Tracking & Brand Building,,2022-09-28 13:42:58,,,,,,,G2
-1644,Richard Posluszny,richard@northpass.com,richard@northpass.com,Profile Performance & Lead Management,LIVE,2022-09-28 13:42:58,2022-10-05 22:57:11,,1,0%,,,G2
-1645,Richard Posluszny,richard@northpass.com,richard@northpass.com,G2 Profile Anatomy,20,2022-09-28 13:42:58,2022-09-28 13:43:14,,1,0%,,,G2
-1646,Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,Profile Performance & Lead Management,,2022-09-28 13:41:19,,,,,,,G2
-1647,Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,Review Tracking & Brand Building,LIVE,2022-09-28 13:41:19,2022-09-28 14:17:06,,1,0%,,,G2
-1648,Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,The Review Rundown,,2022-09-28 13:41:19,,,,,,,G2
-1649,Nick Zuppe,nzuppe@northpass.com,nzuppe@northpass.com,G2 Profile Anatomy,,2022-09-28 13:41:19,,,,,,,G2
-1650,Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,G2 Profile Anatomy,20,2022-09-28 13:40:00,2022-09-28 13:40:30,,1,0%,,,G2
-1651,Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,The Review Rundown,,2022-09-28 13:40:00,,,,,,,G2
-1652,Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,Review Tracking & Brand Building,,2022-09-28 13:40:00,,,,,,,G2
-1653,Bram Billiet,bram.billiet@usewhale.io,bram.billiet@usewhale.io,Profile Performance & Lead Management,,2022-09-28 13:40:00,,,,,,,G2
-1654,Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,Review Tracking & Brand Building,LIVE,2022-09-28 13:29:31,2022-09-28 13:29:52,,1,0%,,,G2
-1655,Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,G2 Profile Anatomy,,2022-09-28 13:29:31,,,,,,,G2
-1656,Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,Profile Performance & Lead Management,,2022-09-28 13:29:31,,,,,,,G2
-1657,Reyansh Mestry,reyansh.mestry@sirionlabs.com,reyansh.mestry@sirionlabs.com,The Review Rundown,,2022-09-28 13:29:31,,,,,,,G2
-1658,Jeremy Lee,jlee2@g2.com,jlee2@g2.com,The Review Rundown,,2022-09-28 13:28:31,,,,,,,G2
-1659,Jeremy Lee,jlee2@g2.com,jlee2@g2.com,Review Tracking & Brand Building,,2022-09-28 13:28:31,,,,,,,G2
-1660,Jeremy Lee,jlee2@g2.com,jlee2@g2.com,G2 Profile Anatomy,,2022-09-28 13:28:31,,,,,,,G2
-1661,Jeremy Lee,jlee2@g2.com,jlee2@g2.com,Profile Performance & Lead Management,,2022-09-28 13:28:31,,,,,,,G2
-1662,Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,The Review Rundown,,2022-09-28 13:24:37,,,,,,,G2
-1663,Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,Review Tracking & Brand Building,LIVE,2022-09-28 13:24:37,2022-09-28 13:24:52,,1,0%,,,G2
-1664,Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,G2 Profile Anatomy,,2022-09-28 13:24:37,,,,,,,G2
-1665,Ratnaraaj (Rustoo) Parekh,ratnaraaj.parekh@sosafe.de,ratnaraaj.parekh@sosafe.de,Profile Performance & Lead Management,,2022-09-28 13:24:37,,,,,,,G2
-1666,Saumya Bagga,sbagga@g2.com,sbagga@g2.com,G2 Profile Anatomy,,2022-09-28 13:23:29,,,,,,,G2
-1667,Saumya Bagga,sbagga@g2.com,sbagga@g2.com,Review Tracking & Brand Building,,2022-09-28 13:23:29,,,,,,,G2
-1668,Saumya Bagga,sbagga@g2.com,sbagga@g2.com,The Review Rundown,,2022-09-28 13:23:29,,,,,,,G2
-1669,Saumya Bagga,sbagga@g2.com,sbagga@g2.com,Profile Performance & Lead Management,,2022-09-28 13:23:29,,,,,,,G2
-1670,Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,Review Tracking & Brand Building,,2022-09-28 13:22:12,,,,,,,G2
-1671,Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,G2 Profile Anatomy,,2022-09-28 13:22:12,,,,,,,G2
-1672,Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,The Review Rundown,,2022-09-28 13:22:12,,,,,,,G2
-1673,Rob O'Doherty,rob@boostup.ai,rob@boostup.ai,Profile Performance & Lead Management,,2022-09-28 13:22:12,,,,,,,G2
-1674,Amanda Malko,amanda@g2.com,amanda@g2.com,Buyer Intent Basics,5,2022-09-28 13:20:34,2022-09-28 13:20:35,,1,0%,,,G2
-1675,Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,The Review Rundown,,2022-09-28 13:16:07,,,,,,,G2
-1676,Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,G2 Profile Anatomy,LIVE,2022-09-28 13:16:07,2022-11-09 15:25:29,,1,0%,,,G2
-1677,Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,Review Tracking & Brand Building,,2022-09-28 13:16:07,,,,,,,G2
-1678,Will Pagel,will.r.pagel@gmail.com,will.r.pagel@gmail.com,Profile Performance & Lead Management,,2022-09-28 13:16:07,,,,,,,G2
-1679,Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,Review Tracking & Brand Building,,2022-09-28 13:07:14,,,,,,,G2
-1680,Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,Profile Performance & Lead Management,,2022-09-28 13:07:14,,,,,,,G2
-1681,Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,G2 Profile Anatomy,20,2022-09-28 13:07:14,2022-09-28 13:07:45,2022-09-29 17:24:03,1,100%,Top Tips Recap,2022-09-29 17:24:04,G2
-1682,Pramila  Siwa,psiwa@g2.com,psiwa@g2.com,The Review Rundown,,2022-09-28 13:07:14,,,,,,,G2
-1683,Amanda Malko,amanda@g2.com,amanda@g2.com,The Review Rundown,,2022-09-28 13:06:22,,,,,,,G2
-1684,Amanda Malko,amanda@g2.com,amanda@g2.com,Profile Performance & Lead Management,,2022-09-28 13:06:22,,,,,,,G2
-1685,Amanda Malko,amanda@g2.com,amanda@g2.com,Review Tracking & Brand Building,,2022-09-28 13:06:22,,,,,,,G2
-1686,Amanda Malko,amanda@g2.com,amanda@g2.com,G2 Profile Anatomy,,2022-09-28 13:06:22,,,,,,,G2
-1687,Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,Review Tracking & Brand Building,,2022-09-28 13:04:14,,,,,,,G2
-1688,Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,The Review Rundown,11,2022-09-28 13:04:14,2022-09-28 13:36:20,,1,0%,,,G2
-1689,Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,G2 Profile Anatomy,,2022-09-28 13:04:14,,,,,,,G2
-1690,Saleha Ahmed,sahmed@g2.com,sahmed@g2.com,Profile Performance & Lead Management,,2022-09-28 13:04:14,,,,,,,G2
-1691,Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,The Review Rundown,,2022-09-27 20:10:35,,,,,,,G2
-1692,Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,Profile Performance & Lead Management,,2022-09-27 20:10:35,,,,,,,G2
-1693,Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,G2 Profile Anatomy,,2022-09-27 20:10:35,,,,,,,G2
-1694,Amanda Kepshire,amanda.kepshire@florencehc.com,amanda.kepshire@florencehc.com,Review Tracking & Brand Building,,2022-09-27 20:10:35,,,,,,,G2
-1695,Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,Profile Performance & Lead Management,,2022-09-26 21:58:41,,,,,,,G2
-1696,Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,G2 Profile Anatomy,,2022-09-26 21:58:41,,,,,,,G2
-1697,Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,The Review Rundown,,2022-09-26 21:58:41,,,,,,,G2
-1698,Stephanie Saucedo Cruz,stephie.saucedo@gmail.com,stephie.saucedo@gmail.com,Review Tracking & Brand Building,,2022-09-26 21:58:41,,,,,,,G2
-1699,Olivia Hyman,ohyman@g2.com,ohyman@g2.com,The Review Rundown,LIVE,2022-09-26 20:48:02,2022-11-10 16:15:45,,1,0%,,,G2
-1700,Olivia Hyman,ohyman@g2.com,ohyman@g2.com,Review Tracking & Brand Building,,2022-09-26 20:48:02,,,,,,,G2
-1701,Olivia Hyman,ohyman@g2.com,ohyman@g2.com,G2 Profile Anatomy,20,2022-09-26 20:48:02,2022-10-17 15:14:45,,1,0%,,,G2
-1702,Olivia Hyman,ohyman@g2.com,ohyman@g2.com,Profile Performance & Lead Management,,2022-09-26 20:48:02,,,,,,,G2
-1703,Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,Review Tracking & Brand Building,,2022-09-26 18:21:30,,,,,,,G2
-1704,Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,G2 Profile Anatomy,20,2022-09-26 18:21:30,2022-09-26 18:22:13,,1,33%,Seller Provided Content,2022-09-26 18:32:28,G2
-1705,Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,The Review Rundown,,2022-09-26 18:21:30,,,,,,,G2
-1706,Rachel Gianfredi,rgianfredi@g2.com,rgianfredi@g2.com,Profile Performance & Lead Management,,2022-09-26 18:21:30,,,,,,,G2
-1707,Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,Profile Performance & Lead Management,,2022-09-26 17:48:27,,,,,,,G2
-1708,Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,Review Tracking & Brand Building,,2022-09-26 17:48:27,,,,,,,G2
-1709,Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,G2 Profile Anatomy,,2022-09-26 17:48:27,,,,,,,G2
-1710,Elizabeth Kalil,lkalil@cyberfox.com,lkalil@cyberfox.com,The Review Rundown,,2022-09-26 17:48:27,,,,,,,G2
-1711,Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,Profile Performance & Lead Management,,2022-09-26 16:32:57,,,,,,,G2
-1712,Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,G2 Profile Anatomy,,2022-09-26 16:32:57,,,,,,,G2
-1713,Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,The Review Rundown,,2022-09-26 16:32:57,,,,,,,G2
-1714,Raghav Kanwar,raghav.kanwar@gartner.com,raghav.kanwar@gartner.com,Review Tracking & Brand Building,,2022-09-26 16:32:57,,,,,,,G2
-1715,Eden Scott-Reid,eden@accountek.com,eden@accountek.com,Review Tracking & Brand Building,,2022-09-26 14:51:16,,,,,,,G2
-1716,Eden Scott-Reid,eden@accountek.com,eden@accountek.com,The Review Rundown,,2022-09-26 14:51:16,,,,,,,G2
-1717,Eden Scott-Reid,eden@accountek.com,eden@accountek.com,G2 Profile Anatomy,,2022-09-26 14:51:16,,,,,,,G2
-1718,Eden Scott-Reid,eden@accountek.com,eden@accountek.com,Profile Performance & Lead Management,,2022-09-26 14:51:16,,,,,,,G2
-1719,Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,Review Tracking & Brand Building,,2022-09-26 14:31:31,,,,,,,G2
-1720,Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,The Review Rundown,,2022-09-26 14:31:31,,,,,,,G2
-1721,Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,Profile Performance & Lead Management,,2022-09-26 14:31:31,,,,,,,G2
-1722,Vincent Goyette,vgoyette22@gmail.com,vgoyette22@gmail.com,G2 Profile Anatomy,,2022-09-26 14:31:31,,,,,,,G2
-1723,Regine Bautista,regine@amberengine.com,regine@amberengine.com,Review Tracking & Brand Building,,2022-09-26 12:59:32,,,,,,,G2
-1724,Regine Bautista,regine@amberengine.com,regine@amberengine.com,Profile Performance & Lead Management,,2022-09-26 12:59:32,,,,,,,G2
-1725,Regine Bautista,regine@amberengine.com,regine@amberengine.com,G2 Profile Anatomy,,2022-09-26 12:59:32,,,,,,,G2
-1726,Regine Bautista,regine@amberengine.com,regine@amberengine.com,The Review Rundown,,2022-09-26 12:59:32,,,,,,,G2
-1727,Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,Profile Performance & Lead Management,,2022-09-26 07:15:27,,,,,,,G2
-1728,Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,Review Tracking & Brand Building,,2022-09-26 07:15:27,,,,,,,G2
-1729,Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,G2 Profile Anatomy,,2022-09-26 07:15:27,,,,,,,G2
-1730,Anubhav Gera,anubhav.gera@twixor.com,anubhav.gera@twixor.com,The Review Rundown,,2022-09-26 07:15:27,,,,,,,G2
-1731,Vincent chen,vincent@illasoft.com,vincent@illasoft.com,The Review Rundown,,2022-09-26 02:47:02,,,,,,,G2
-1732,Vincent chen,vincent@illasoft.com,vincent@illasoft.com,Review Tracking & Brand Building,,2022-09-26 02:47:02,,,,,,,G2
-1733,Vincent chen,vincent@illasoft.com,vincent@illasoft.com,G2 Profile Anatomy,,2022-09-26 02:47:02,,,,,,,G2
-1734,Vincent chen,vincent@illasoft.com,vincent@illasoft.com,Profile Performance & Lead Management,,2022-09-26 02:47:02,,,,,,,G2
-1735,Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,What is the G2 Content Subscription?,9,2022-09-25 16:41:19,2022-09-25 16:41:20,,1,11%, What’s Included with the Content Subscription,2022-09-26 05:34:08,G2
-1736,Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,G2 Profile Anatomy,,2022-09-25 16:30:34,,,,,,,G2
-1737,Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,Profile Performance & Lead Management,,2022-09-25 16:30:34,,,,,,,G2
-1738,Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,The Review Rundown,,2022-09-25 16:30:34,,,,,,,G2
-1739,Sharath Jagadish,sjagadish@g2.com,sjagadish@g2.com,Review Tracking & Brand Building,,2022-09-25 16:30:34,,,,,,,G2
-1740,Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,The Review Rundown,,2022-09-23 20:54:50,,,,,,,G2
-1741,Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,Profile Performance & Lead Management,,2022-09-23 20:54:50,,,,,,,G2
-1742,Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,G2 Profile Anatomy,,2022-09-23 20:54:50,,,,,,,G2
-1743,Jacob DeVoogd,jdevoogd@g2.com,jdevoogd@g2.com,Review Tracking & Brand Building,,2022-09-23 20:54:50,,,,,,,G2
-1744,Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,The Review Rundown,,2022-09-23 14:06:05,,,,,,,G2
-1745,Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,Review Tracking & Brand Building,,2022-09-23 14:06:05,,,,,,,G2
-1746,Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,G2 Profile Anatomy,,2022-09-23 14:06:05,,,,,,,G2
-1747,Scott Julio,sjulio@g2crowd.com,sjulio@g2crowd.com,Profile Performance & Lead Management,,2022-09-23 14:06:05,,,,,,,G2
-1748,Austin Holgate,aholgate@g2.com,aholgate@g2.com,Review Tracking & Brand Building,,2022-09-23 13:19:25,,,,,,,G2
-1749,Austin Holgate,aholgate@g2.com,aholgate@g2.com,Profile Performance & Lead Management,,2022-09-23 13:19:25,,,,,,,G2
-1750,Austin Holgate,aholgate@g2.com,aholgate@g2.com,The Review Rundown,,2022-09-23 13:19:25,,,,,,,G2
-1751,Austin Holgate,aholgate@g2.com,aholgate@g2.com,G2 Profile Anatomy,,2022-09-23 13:19:25,,,,,,,G2
-1752,Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,The Review Rundown,,2022-09-23 12:39:41,,,,,,,G2
-1753,Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,Review Tracking & Brand Building,,2022-09-23 12:39:41,,,,,,,G2
-1754,Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,G2 Profile Anatomy,,2022-09-23 12:39:41,,,,,,,G2
-1755,Valentyn Kucherenko,valentyn.kucherenko@gmail.com,valentyn.kucherenko@gmail.com,Profile Performance & Lead Management,,2022-09-23 12:39:41,,,,,,,G2
-1756,Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,G2 Profile Anatomy,,2022-09-23 05:57:05,,,,,,,G2
-1757,Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,Profile Performance & Lead Management,,2022-09-23 05:57:05,,,,,,,G2
-1758,Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,The Review Rundown,,2022-09-23 05:57:05,,,,,,,G2
-1759,Shivi Rastogi,rastogishivi99@gmail.com,rastogishivi99@gmail.com,Review Tracking & Brand Building,,2022-09-23 05:57:05,,,,,,,G2
-1760,Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,Review Tracking & Brand Building,LIVE,2022-09-23 04:27:00,2022-09-23 04:27:51,,1,0%,,,G2
-1761,Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,Profile Performance & Lead Management,,2022-09-23 04:27:00,,,,,,,G2
-1762,Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,The Review Rundown,11,2022-09-23 04:27:00,2022-09-23 04:28:03,,1,0%,,,G2
-1763,Jeremy Kelderman,jeremy.kelderman@skilljar.com,jeremy.kelderman@skilljar.com,G2 Profile Anatomy,,2022-09-23 04:27:00,,,,,,,G2
-1764,Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,Review Tracking & Brand Building,,2022-09-23 03:51:27,,,,,,,G2
-1765,Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,G2 Profile Anatomy,,2022-09-23 03:51:27,,,,,,,G2
-1766,Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,The Review Rundown,,2022-09-23 03:51:27,,,,,,,G2
-1767,Praveen Simon,praveensimon94@gmail.com,praveensimon94@gmail.com,Profile Performance & Lead Management,,2022-09-23 03:51:27,,,,,,,G2
-1768,Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,Review Tracking & Brand Building,,2022-09-22 20:52:41,,,,,,,G2
-1769,Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,The Review Rundown,,2022-09-22 20:52:41,,,,,,,G2
-1770,Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,Profile Performance & Lead Management,,2022-09-22 20:52:41,,,,,,,G2
-1771,Annie Jackson,ajackson@reviewtrackers.com,ajackson@reviewtrackers.com,G2 Profile Anatomy,,2022-09-22 20:52:41,,,,,,,G2
-1772,Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,G2 Profile Anatomy,20,2022-09-22 15:49:25,2022-09-22 15:49:36,2022-09-22 16:11:28,1,100%,Seller Provided Content,2022-09-22 16:11:28,G2
-1773,Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,The Review Rundown,11,2022-09-22 15:49:25,2022-09-22 15:50:04,,1,0%,,,G2
-1774,Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,Review Tracking & Brand Building,LIVE,2022-09-22 15:49:25,2022-09-22 16:10:48,,1,0%,,,G2
-1775,Victoria Salzwedel,vsalzwedel2@gmail.com,vsalzwedel2@gmail.com,Profile Performance & Lead Management,LIVE,2022-09-22 15:49:25,2022-09-22 16:06:10,2022-09-22 16:06:29,1,100%,Lead Webhooks,2022-09-22 16:06:29,G2
-1776,Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,The Review Rundown,,2022-09-22 12:10:13,,,,,,,G2
-1777,Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,Profile Performance & Lead Management,,2022-09-22 12:10:13,,,,,,,G2
-1778,Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,Review Tracking & Brand Building,,2022-09-22 12:10:13,,,,,,,G2
-1779,Davide Gusmano,davide.gusmano@docebo.com,davide.gusmano@docebo.com,G2 Profile Anatomy,,2022-09-22 12:10:13,,,,,,,G2
-1780,Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,The Review Rundown,11,2022-09-21 18:30:46,2022-09-21 18:31:01,,1,0%,,,G2
-1781,Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,G2 Profile Anatomy,,2022-09-21 18:30:46,,,,,,,G2
-1782,Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,Review Tracking & Brand Building,,2022-09-21 18:30:46,,,,,,,G2
-1783,Kenny Browne,kennyb5000@yahoo.com,kennyb5000@yahoo.com,Profile Performance & Lead Management,,2022-09-21 18:30:46,,,,,,,G2
-1784,Katlin Hess,khess@g2.com,khess@g2.com,Preparing for G2 Reports,LIVE,2022-09-21 13:59:22,2022-09-26 14:27:41,,2,29%,Draft Release,2022-10-31 19:27:54,G2
-1785,Katlin Hess,khess@g2.com,khess@g2.com,Preparing for G2 Reports,2,2022-09-21 13:59:22,2022-09-21 13:59:23,2022-09-21 13:59:40,1,13%,Review Deadline Announcement,2022-09-21 13:59:40,G2
-1786,Anna Zhuk,azhuk@g2.com,azhuk@g2.com,Review Tracking & Brand Building,,2022-09-20 21:21:43,,,,,,,G2
-1787,Anna Zhuk,azhuk@g2.com,azhuk@g2.com,The Review Rundown,,2022-09-20 21:21:43,,,,,,,G2
-1788,Anna Zhuk,azhuk@g2.com,azhuk@g2.com,Profile Performance & Lead Management,,2022-09-20 21:21:43,,,,,,,G2
-1789,Anna Zhuk,azhuk@g2.com,azhuk@g2.com,G2 Profile Anatomy,,2022-09-20 21:21:43,,,,,,,G2
-1790,Emma King,eking@g2.com,eking@g2.com,Review Tracking & Brand Building,,2022-09-20 19:50:24,,,,,,,G2
-1791,Emma King,eking@g2.com,eking@g2.com,G2 Profile Anatomy,,2022-09-20 19:50:24,,,,,,,G2
-1792,Emma King,eking@g2.com,eking@g2.com,The Review Rundown,,2022-09-20 19:50:24,,,,,,,G2
-1793,Emma King,eking@g2.com,eking@g2.com,Profile Performance & Lead Management,,2022-09-20 19:50:24,,,,,,,G2
-1794,Katlin Hess,hess@targetx.com,hess@targetx.com,Review Tracking & Brand Building,,2022-09-20 18:34:12,,,,,,,G2
-1795,Katlin Hess,hess@targetx.com,hess@targetx.com,G2 Profile Anatomy,,2022-09-20 18:34:12,,,,,,,G2
-1796,Katlin Hess,hess@targetx.com,hess@targetx.com,The Review Rundown,,2022-09-20 18:34:12,,,,,,,G2
-1797,Katlin Hess,hess@targetx.com,hess@targetx.com,Profile Performance & Lead Management,,2022-09-20 18:34:12,,,,,,,G2
-1798,Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,Profile Performance & Lead Management,,2022-09-20 17:09:32,,,,,,,G2
-1799,Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,G2 Profile Anatomy,,2022-09-20 17:09:32,,,,,,,G2
-1800,Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,The Review Rundown,,2022-09-20 17:09:32,,,,,,,G2
-1801,Adrianna Lacarra,marketing@childcarecrm.com,marketing@childcarecrm.com,Review Tracking & Brand Building,,2022-09-20 17:09:32,,,,,,,G2
-1802,Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,G2 Profile Anatomy,,2022-09-20 15:27:23,,,,,,,G2
-1803,Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,Profile Performance & Lead Management,,2022-09-20 15:27:23,,,,,,,G2
-1804,Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,The Review Rundown,,2022-09-20 15:27:23,,,,,,,G2
-1805,Kirstin Powdrill,kpowdrill@g2.com,kpowdrill@g2.com,Review Tracking & Brand Building,,2022-09-20 15:27:23,,,,,,,G2
-1806,Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,The Review Rundown,,2022-09-20 15:17:09,,,,,,,G2
-1807,Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,G2 Profile Anatomy,,2022-09-20 15:17:09,,,,,,,G2
-1808,Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,Review Tracking & Brand Building,,2022-09-20 15:17:09,,,,,,,G2
-1809,Matthieu Le Sayec,mlesayec@g2.com,mlesayec@g2.com,Profile Performance & Lead Management,,2022-09-20 15:17:09,,,,,,,G2
-1810,Richie Sykes,rsykes@g2.com,rsykes@g2.com,G2 Profile Anatomy,,2022-09-20 15:14:15,,,,,,,G2
-1811,Richie Sykes,rsykes@g2.com,rsykes@g2.com,Review Tracking & Brand Building,,2022-09-20 15:14:15,,,,,,,G2
-1812,Richie Sykes,rsykes@g2.com,rsykes@g2.com,The Review Rundown,,2022-09-20 15:14:15,,,,,,,G2
-1813,Richie Sykes,rsykes@g2.com,rsykes@g2.com,Profile Performance & Lead Management,,2022-09-20 15:14:15,,,,,,,G2
-1814,Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,Profile Performance & Lead Management,,2022-09-20 15:14:07,,,,,,,G2
-1815,Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,The Review Rundown,,2022-09-20 15:14:07,,,,,,,G2
-1816,Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,Review Tracking & Brand Building,,2022-09-20 15:14:07,,,,,,,G2
-1817,Eric Wanchic,ewanchic@g2.com,ewanchic@g2.com,G2 Profile Anatomy,,2022-09-20 15:14:07,,,,,,,G2
-1818,Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,Profile Performance & Lead Management,,2022-09-20 15:11:53,,,,,,,G2
-1819,Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,G2 Profile Anatomy,,2022-09-20 15:11:53,,,,,,,G2
-1820,Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,The Review Rundown,LIVE,2022-09-20 15:11:53,2022-10-25 18:37:06,,1,0%,,,G2
-1821,Matt McGinley,mmcginley@g2.com,mmcginley@g2.com,Review Tracking & Brand Building,,2022-09-20 15:11:53,,,,,,,G2
-1822,Clare Kennison,ckennison@g2.com,ckennison@g2.com,G2 Profile Anatomy,,2022-09-20 15:11:47,,,,,,,G2
-1823,Clare Kennison,ckennison@g2.com,ckennison@g2.com,Review Tracking & Brand Building,,2022-09-20 15:11:47,,,,,,,G2
-1824,Clare Kennison,ckennison@g2.com,ckennison@g2.com,The Review Rundown,,2022-09-20 15:11:47,,,,,,,G2
-1825,Clare Kennison,ckennison@g2.com,ckennison@g2.com,Profile Performance & Lead Management,,2022-09-20 15:11:47,,,,,,,G2
-1826,🌱 Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,The Review Rundown,,2022-09-20 15:09:09,,,,,,,G2
-1827,🌱 Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,G2 Profile Anatomy,,2022-09-20 15:09:09,,,,,,,G2
-1828,🌱 Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,Review Tracking & Brand Building,,2022-09-20 15:09:09,,,,,,,G2
-1829,🌱 Daniella Alscher,alscherd@gmail.com,alscherd@gmail.com,Profile Performance & Lead Management,,2022-09-20 15:09:09,,,,,,,G2
-1830,Erin Boyd,eboyd@g2.com,eboyd@g2.com,How to Respond to Reviews,LIVE,2022-09-20 11:20:04,2022-09-20 11:20:04,,1,8%,Unactionable Negative Reviews,2022-10-17 18:08:33,G2
-1831,Erin Boyd,eboyd@g2.com,eboyd@g2.com,G2 Profile Anatomy,20,2022-09-20 11:19:54,2022-09-26 17:37:27,,1,0%,,,G2
-1832,Erin Boyd,eboyd@g2.com,eboyd@g2.com,Profile Performance & Lead Management,,2022-09-20 11:19:54,,,,,,,G2
-1833,Erin Boyd,eboyd@g2.com,eboyd@g2.com,G2 Profile Anatomy,LIVE,2022-09-20 11:19:54,2022-11-14 16:45:27,,2,0%,,2022-11-14 16:45:28,G2
-1834,Erin Boyd,eboyd@g2.com,eboyd@g2.com,The Review Rundown,LIVE,2022-09-20 11:19:54,2022-09-30 14:18:57,,1,43%,Intro/4 Pillars,2022-09-30 14:19:40,G2
-1835,Erin Boyd,eboyd@g2.com,eboyd@g2.com,Review Tracking & Brand Building,,2022-09-20 11:19:54,,,,,,,G2
-1836,Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,The Review Rundown,11,2022-09-19 19:15:55,2022-09-19 19:16:04,,1,14%,Intro/4 Pillars,2022-09-19 19:16:49,G2
-1837,Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,Review Tracking & Brand Building,,2022-09-19 19:15:55,,,,,,,G2
-1838,Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,Profile Performance & Lead Management,,2022-09-19 19:15:55,,,,,,,G2
-1839,Michelle  Hogue,michelle.hogue@a-lign.com,michelle.hogue@a-lign.com,G2 Profile Anatomy,,2022-09-19 19:15:55,,,,,,,G2
-1840,Tim Silber,tsilber@g2.com,tsilber@g2.com,The Review Rundown,,2022-09-19 17:52:47,,,,,,,G2
-1841,Tim Silber,tsilber@g2.com,tsilber@g2.com,Profile Performance & Lead Management,LIVE,2022-09-19 17:52:47,2022-09-28 13:48:46,,1,0%,,,G2
-1842,Tim Silber,tsilber@g2.com,tsilber@g2.com,G2 Profile Anatomy,20,2022-09-19 17:52:47,2022-09-28 13:48:15,,1,0%,,,G2
-1843,Tim Silber,tsilber@g2.com,tsilber@g2.com,Review Tracking & Brand Building,LIVE,2022-09-19 17:52:47,2022-11-07 18:24:15,,1,0%,,,G2
-1844,Adam Nelson,anelson@g2.com,anelson@g2.com,The Review Rundown,,2022-09-19 16:24:44,,,,,,,G2
-1845,Adam Nelson,anelson@g2.com,anelson@g2.com,G2 Profile Anatomy,,2022-09-19 16:24:44,,,,,,,G2
-1846,Adam Nelson,anelson@g2.com,anelson@g2.com,Profile Performance & Lead Management,,2022-09-19 16:24:44,,,,,,,G2
-1847,Adam Nelson,anelson@g2.com,anelson@g2.com,Review Tracking & Brand Building,,2022-09-19 16:24:44,,,,,,,G2
-1848,Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,The Review Rundown,,2022-09-19 15:54:01,,,,,,,G2
-1849,Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,G2 Profile Anatomy,,2022-09-19 15:54:01,,,,,,,G2
-1850,Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,Profile Performance & Lead Management,,2022-09-19 15:54:01,,,,,,,G2
-1851,Rachael  Bunn,rachael.bunn@toriihq.com,rachael.bunn@toriihq.com,Review Tracking & Brand Building,,2022-09-19 15:54:01,,,,,,,G2
-1852,Allison Leach,aleach@g2.com,aleach@g2.com,Review Tracking & Brand Building,,2022-09-19 14:52:49,,,,,,,G2
-1853,Allison Leach,aleach@g2.com,aleach@g2.com,G2 Profile Anatomy,,2022-09-19 14:52:49,,,,,,,G2
-1854,Allison Leach,aleach@g2.com,aleach@g2.com,Profile Performance & Lead Management,,2022-09-19 14:52:49,,,,,,,G2
-1855,Allison Leach,aleach@g2.com,aleach@g2.com,The Review Rundown,,2022-09-19 14:52:49,,,,,,,G2
-1856,Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,Profile Performance & Lead Management,,2022-09-19 14:22:19,,,,,,,G2
-1857,Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,The Review Rundown,,2022-09-19 14:22:19,,,,,,,G2
-1858,Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,Review Tracking & Brand Building,,2022-09-19 14:22:19,,,,,,,G2
-1859,Shannon Howard,shannon.howard@peoplegrove.com,shannon.howard@peoplegrove.com,G2 Profile Anatomy,,2022-09-19 14:22:19,,,,,,,G2
-1860,Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,Review Tracking & Brand Building,,2022-09-19 13:35:23,,,,,,,G2
-1861,Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,The Review Rundown,11,2022-09-19 13:35:23,2022-09-19 13:51:50,,1,0%,,,G2
-1862,Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,Profile Performance & Lead Management,LIVE,2022-09-19 13:35:23,2022-09-19 13:35:45,,1,0%,,,G2
-1863,Robin Izsak-Tseng,rizsak-tseng@g2.com,rizsak-tseng@g2.com,G2 Profile Anatomy,,2022-09-19 13:35:23,,,,,,,G2
-1864,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,How to Use Buyer Intent,6,2022-09-18 19:05:15,2022-09-18 19:05:16,,1,13%,Considerations,2022-09-18 19:05:54,G2
-1865,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,Buyer Intent Basics,4,2022-09-16 16:14:17,2022-09-16 16:14:18,,1,0%,,,G2
-1866,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,How to Respond to Reviews,3,2022-09-16 16:10:17,2022-09-16 16:10:17,,1,0%,,,G2
-1867,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,What is the G2 Content Subscription?,8,2022-09-16 16:08:41,2022-09-16 16:08:41,,1,10%,Report Data Comparison,2022-09-16 16:08:54,G2
-1868,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,Review Tracking & Brand Building,9,2022-09-16 01:46:52,2022-09-16 01:47:07,2022-09-16 01:47:17,1,100%,Review Integrations,2022-09-16 01:47:18,G2
-1869,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,The Review Rundown,10,2022-09-16 01:46:52,2022-09-16 01:48:00,,1,43%,Intro/4 Pillars,2022-09-16 01:48:07,G2
-1870,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,Profile Performance & Lead Management,LIVE,2022-09-16 01:46:52,2022-09-16 01:47:29,2022-09-16 01:47:41,1,100%,Lead Webhooks,2022-09-16 01:47:41,G2
-1871,Katlin Hess,katlin.hess@phenompeople.com,katlin.hess@phenompeople.com,G2 Profile Anatomy,20,2022-09-16 01:46:52,2022-09-16 02:18:12,,1,0%,,,G2
-1872,Anna Charity,acharity@g2.com,acharity@g2.com,Profile Performance & Lead Management,,2022-09-13 16:16:52,,,,,,,G2
-1873,Anna Charity,acharity@g2.com,acharity@g2.com,The Review Rundown,,2022-09-13 16:16:52,,,,,,,G2
-1874,Anna Charity,acharity@g2.com,acharity@g2.com,G2 Profile Anatomy,,2022-09-13 16:16:52,,,,,,,G2
-1875,Anna Charity,acharity@g2.com,acharity@g2.com,Review Tracking & Brand Building,,2022-09-13 16:16:52,,,,,,,G2
-1876,Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,What is the G2 Content Subscription?,3,2022-08-29 21:29:51,2022-08-29 21:29:52,,1,0%,,,G2
-1877,Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,Profile Performance & Lead Management,5,2022-08-19 15:29:11,2022-08-19 16:10:15,,1,0%,,,G2
-1878,Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,Review Tracking & Brand Building,3,2022-08-19 15:29:11,2022-08-19 16:10:30,,1,0%,,,G2
-1879,Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,G2 Profile Anatomy,4,2022-08-19 15:29:11,2022-08-19 16:08:24,,1,0%,,,G2
-1880,Pawel Galusza,pgalusza@g2.com,pgalusza@g2.com,The Review Rundown,2,2022-08-19 15:29:11,2022-08-19 16:10:40,,1,0%,,,G2
-1881,Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,The Review Rundown,,2022-08-18 18:53:01,,,,,,,G2
-1882,Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,Profile Performance & Lead Management,3,2022-08-18 18:53:01,2022-08-18 18:53:25,2022-08-18 18:55:49,1,100%,What you'll need,2022-08-18 18:55:49,G2
-1883,Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,G2 Profile Anatomy,4,2022-08-18 18:53:01,2022-08-18 18:53:07,,1,0%,,,G2
-1884,Victoria Salzwedel,vsalzwedel@g2.com,vsalzwedel@g2.com,Review Tracking & Brand Building,,2022-08-18 18:53:01,,,,,,,G2
-1885,Katlin Hess,khess@g2.com,khess@g2.com,What is the G2 Content Subscription?,1,2022-08-18 14:07:37,2022-08-18 14:07:38,2022-08-18 14:08:02,1,100%,Infographics,2022-08-18 14:08:02,G2
-1886,travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,Review Tracking & Brand Building,,2022-08-18 13:47:39,,,,,,,G2
-1887,travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,G2 Profile Anatomy,4,2022-08-18 13:47:39,2022-08-18 13:47:44,2022-08-18 13:48:56,1,100%,Top Tips Recap,2022-08-18 13:48:56,G2
-1888,travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,The Review Rundown,,2022-08-18 13:47:39,,,,,,,G2
-1889,travis buckley,tbuckley+1@g2.com,tbuckley+1@g2.com,Profile Performance & Lead Management,,2022-08-18 13:47:39,,,,,,,G2
-1890,Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,The Review Rundown,,2022-08-18 13:37:11,,,,,,,G2
-1891,Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,Profile Performance & Lead Management,6,2022-08-18 13:37:11,2022-08-23 17:49:45,2022-08-23 17:50:08,2,100%,CTA + Free Analytics,2022-08-23 17:50:08,G2
-1892,Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,Review Tracking & Brand Building,LIVE,2022-08-18 13:37:11,2022-09-19 14:09:43,,1,0%,,,G2
-1893,Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,Profile Performance & Lead Management,3,2022-08-18 13:37:11,2022-08-18 13:39:46,2022-08-18 13:40:12,1,100%,Course overview,2022-08-18 13:40:12,G2
-1894,Kevin Janssen,kjanssen@g2.com,kjanssen@g2.com,G2 Profile Anatomy,9,2022-08-18 13:37:11,2022-08-23 17:49:29,,1,17%,What is the Value of a G2 Profile?,2022-08-23 17:49:34,G2
-1895,Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,G2 Profile Anatomy,4,2022-08-16 15:50:49,2022-08-18 17:56:12,2022-08-18 18:00:06,1,100%,Top Tips Recap,2022-08-18 18:00:06,G2
-1896,Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,Profile Performance & Lead Management,,2022-08-16 15:50:49,,,,,,,G2
-1897,Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,The Review Rundown,,2022-08-16 15:50:49,,,,,,,G2
-1898,Vincent Goyette,vgoyette@g2.com,vgoyette@g2.com,Review Tracking & Brand Building,,2022-08-16 15:50:49,,,,,,,G2
-1899,Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,The Review Rundown,11,2022-07-27 14:15:24,2022-09-22 19:42:43,,1,0%,,,G2
-1900,Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,Profile Performance & Lead Management,LIVE,2022-07-27 14:15:24,2022-09-16 17:55:02,,1,0%,,,G2
-1901,Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,Review Tracking & Brand Building,,2022-07-27 14:15:24,,,,,,,G2
-1902,Michael Puglielli,mpuglielli@g2.com,mpuglielli@g2.com,G2 Profile Anatomy,20,2022-07-27 14:15:24,2022-09-23 13:27:28,,1,0%,,,G2
-1903,Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,Review Tracking & Brand Building,,2022-07-07 13:30:34,,,,,,,G2
-1904,Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,G2 Profile Anatomy,,2022-07-07 13:30:34,,,,,,,G2
-1905,Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,Profile Performance & Lead Management,,2022-07-07 13:30:34,,,,,,,G2
-1906,Easton Johns,daisha.kuhlman@twinbash.co,daisha.kuhlman@twinbash.co,The Review Rundown,,2022-07-07 13:30:34,,,,,,,G2
-1907,Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,Review Tracking & Brand Building,,2022-05-28 15:36:16,,,,,,,G2
-1908,Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,Profile Performance & Lead Management,,2022-05-28 15:36:16,,,,,,,G2
-1909,Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,G2 Profile Anatomy,,2022-05-28 15:36:16,,,,,,,G2
-1910,Dave Mose,rixoxor856@about27.com,rixoxor856@about27.com,The Review Rundown,,2022-05-28 15:36:16,,,,,,,G2
-1911,Northpass Tester,northpass_test@test.com,northpass_test@test.com,The Review Rundown,,2022-03-24 19:42:32,,,,,,,G2
-1912,Northpass Tester,northpass_test@test.com,northpass_test@test.com,Profile Performance & Lead Management,,2022-03-24 19:42:32,,,,,,,G2
-1913,Northpass Tester,northpass_test@test.com,northpass_test@test.com,G2 Profile Anatomy,4,2022-03-24 19:42:32,2022-03-28 17:45:24,,1,0%,,,G2
-1914,Northpass Tester,northpass_test@test.com,northpass_test@test.com,Review Tracking & Brand Building,,2022-03-24 19:42:32,,,,,,,G2
-1915,Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,The Review Rundown,,2022-03-17 19:51:52,,,,,,,G2
-1916,Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,G2 Profile Anatomy,,2022-03-17 19:51:52,,,,,,,G2
-1917,Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,Profile Performance & Lead Management,,2022-03-17 19:51:52,,,,,,,G2
-1918,Shawn Wheeler,shawnrwheeler@gmail.com,shawnrwheeler@gmail.com,Review Tracking & Brand Building,,2022-03-17 19:51:52,,,,,,,G2
-1919,Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,Review Tracking & Brand Building,,2022-03-17 14:39:48,,,,,,,G2
-1920,Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,Profile Performance & Lead Management,3,2022-03-17 14:39:48,2022-03-17 14:43:09,,1,0%,,,G2
-1921,Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,G2 Profile Anatomy,,2022-03-17 14:39:48,,,,,,,G2
-1922,Joseph Park,josephpaulpark@gmail.com,josephpaulpark@gmail.com,The Review Rundown,,2022-03-17 14:39:48,,,,,,,G2
-1923,,jpark@g2.com,jpark@g2.com,The Review Rundown,,2022-03-04 15:16:56,,,,,,,G2
-1924,Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,20,2022-03-04 15:16:56,2022-09-22 18:39:59,2022-11-07 19:48:28,4,50%,Seller Provided Content,2022-11-07 19:48:28,G2
-1925,Katlin Hess,khess@g2.com,khess@g2.com,The Review Rundown,4,2022-03-04 15:16:56,2022-08-22 18:25:34,,2,57%,Types of G2 Review Generation,2022-08-22 19:14:14,G2
-1926,travis buckley,tbuckley@g2.com,tbuckley@g2.com,G2 Profile Anatomy,4,2022-03-04 15:16:56,2022-03-16 20:20:00,2022-03-22 13:13:44,2,100%,Top Tips Recap,2022-03-22 13:13:44,G2
-1927,Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,G2 Profile Anatomy,6,2022-03-04 15:16:56,2022-08-19 18:08:15,,1,0%,,,G2
-1928,Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,Review Tracking & Brand Building,,2022-03-04 15:16:56,,,,,,,G2
-1929,Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,The Review Rundown,,2022-03-04 15:16:56,,,,,,,G2
-1930,Katlin Hess,khess@g2.com,khess@g2.com,Profile Performance & Lead Management,8,2022-03-04 15:16:56,2022-09-14 14:12:56,,2,0%,,,G2
-1931,Katlin Hess,khess@g2.com,khess@g2.com,Review Tracking & Brand Building,LIVE,2022-03-04 15:16:56,2022-09-21 13:58:49,2022-10-31 15:40:22,2,100%,Review Integrations,2022-10-31 15:40:22,G2
-1932,Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,LIVE,2022-03-04 15:16:56,2022-11-15 15:45:00,,5,5%,What is the Value of a G2 Profile?,2022-11-15 15:45:14,G2
-1933,Katlin Hess,khess@g2.com,khess@g2.com,Profile Performance & Lead Management,LIVE,2022-03-04 15:16:56,2022-10-31 15:40:35,2022-10-31 19:26:32,3,100%,Lead Webhooks,2022-10-31 19:26:32,G2
-1934,Katlin Hess,khess@g2.com,khess@g2.com,The Review Rundown,2,2022-03-04 15:16:56,2022-08-18 14:06:21,,1,0%,,,G2
-1935,Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,G2 Profile Anatomy,9,2022-03-04 15:16:56,2022-08-29 21:33:57,,2,0%,,,G2
-1936,,jpark@g2.com,jpark@g2.com,G2 Profile Anatomy,,2022-03-04 15:16:56,,,,,,,G2
-1937,travis buckley,tbuckley@g2.com,tbuckley@g2.com,Review Tracking & Brand Building,2,2022-03-04 15:16:56,2022-03-22 14:20:41,,1,0%,,,G2
-1938,Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,7,2022-03-04 15:16:56,2022-08-22 18:22:16,,2,0%,,,G2
-1939,Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,The Review Rundown,,2022-03-04 15:16:56,,,,,,,G2
-1940,Michele Popadich,mpopadich@g2.com,mpopadich@g2.com,Profile Performance & Lead Management,,2022-03-04 15:16:56,,,,,,,G2
-1941,travis buckley,tbuckley@g2.com,tbuckley@g2.com,G2 Profile Anatomy,3,2022-03-04 15:16:56,2022-03-11 17:46:36,2022-03-11 17:47:19,1,16%,What is the value of a G2 Profile?,2022-03-11 17:47:19,G2
-1942,Katlin Hess,khess@g2.com,khess@g2.com,Profile Performance & Lead Management,3,2022-03-04 15:16:56,2022-08-18 14:05:51,2022-08-18 14:06:09,1,100%,What you'll need,2022-08-18 14:06:09,G2
-1943,,jpark@g2.com,jpark@g2.com,Profile Performance & Lead Management,,2022-03-04 15:16:56,,,,,,,G2
-1944,Katlin Hess,khess@g2.com,khess@g2.com,Review Tracking & Brand Building,4,2022-03-04 15:16:56,2022-08-22 19:14:54,2022-08-22 19:15:03,1,20%,Review Activity,2022-08-22 19:15:03,G2
-1945,,rmorris@g2.com,rmorris@g2.com,G2 Profile Anatomy,,2022-03-04 15:16:56,,,,,,,G2
-1946,travis buckley,tbuckley@g2.com,tbuckley@g2.com,The Review Rundown,2,2022-03-04 15:16:56,2022-03-22 14:21:02,,1,0%,,,G2
-1947,Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,Review Tracking & Brand Building,,2022-03-04 15:16:56,,,,,,,G2
-1948,travis buckley,tbuckley@g2.com,tbuckley@g2.com,Profile Performance & Lead Management,3,2022-03-04 15:16:56,2022-03-22 14:10:21,2022-03-22 14:12:13,1,50%,What you'll need,2022-03-22 14:12:13,G2
-1949,Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,Profile Performance & Lead Management,,2022-03-04 15:16:56,,,,,,,G2
-1950,,rmorris@g2.com,rmorris@g2.com,Review Tracking & Brand Building,,2022-03-04 15:16:56,,,,,,,G2
-1951,,rmorris@g2.com,rmorris@g2.com,The Review Rundown,,2022-03-04 15:16:56,,,,,,,G2
-1952,travis buckley,tbuckley@g2.com,tbuckley@g2.com,Profile Performance & Lead Management,6,2022-03-04 15:16:56,2022-08-23 17:04:50,2022-08-23 17:05:09,2,100%,Lead Webhooks,2022-08-23 17:05:09,G2
-1953,Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,4,2022-03-04 15:16:56,2022-06-21 14:51:49,,1,0%,,,G2
-1954,Charles McGovern,charlesmcgovern3@gmail.com,charlesmcgovern3@gmail.com,G2 Profile Anatomy,4,2022-03-04 15:16:56,2022-06-15 00:24:39,,1,0%,,,G2
-1955,,rmorris@g2.com,rmorris@g2.com,Profile Performance & Lead Management,,2022-03-04 15:16:56,,,,,,,G2
-1956,Katlin Hess,khess@g2.com,khess@g2.com,G2 Profile Anatomy,9,2022-03-04 15:16:56,2022-08-26 17:02:57,,3,0%,,,G2
-1957,,jpark@g2.com,jpark@g2.com,Review Tracking & Brand Building,,2022-03-04 15:16:56,,,,,,,G2
-1958,Demo Northpass,northpass@g2.com,,Profile Performance & Lead Management,,2022-01-26 19:07:25,,,,,,,G2
-1959,Demo Northpass,northpass@g2.com,,The Review Rundown,,2022-01-26 19:07:24,,,,,,,G2
-1960,Demo Northpass,northpass@g2.com,,Review Tracking & Brand Building,,2022-01-26 19:07:24,,,,,,,G2
-1961,Demo Northpass,northpass@g2.com,,G2 Profile Anatomy,3,2022-01-26 19:07:24,2022-02-28 20:58:09,,1,0%,,,G2
diff --git a/Scripts/G2_Unenroll/skuid_lp.py b/Scripts/G2_Unenroll/skuid_lp.py
deleted file mode 100644
index 6c1d06b3..00000000
--- a/Scripts/G2_Unenroll/skuid_lp.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from collections import Counter
-import pandas as pd 
-
-basecsv = "/Users/normrasmussen/Documents/Northpass/Scripts/G2_Unenroll/skuid_05lp.csv"
-
-def mainFunc(basecsv):
-    readData = pd.read_csv(
-            basecsv,
-            index_col=False,
-            )
-    parsedData = readData.drop_duplicates(subset='Course_Name', keep="first")
-    if parsedData.loc[readData['Course Name'].isin([
-                    'Get Started with Models - Level 1',
-                    'Configure Model Fields - Level 1',
-                    'Configure Model Conditions - Level 1',
-                    'Configure Model Actions - Level 1',
-                    'Manage Models - Level 1',
-                    'Intro to UI Only Fields - Level 1'])]:
-        extractedList = readData.loc[readData['Email'].tolist()
-        fourOccs = Counter(extractedList)
-        finalNames = []
-        for name, occurences in fourOccs.items():
-            if occurences == 6:
-                finalNames.append(name)
-
-if __name__ == "__main__":
-    mainFunc(basecsv)
diff --git a/Scripts/Jupyter/Churned_Learners.ipynb b/Scripts/Jupyter/Churned_Learners.ipynb
deleted file mode 100644
index c17a7a39..00000000
--- a/Scripts/Jupyter/Churned_Learners.ipynb
+++ /dev/null
@@ -1,2782 +0,0 @@
-{
-    "cells": [
-        {
-            "cell_type": "code",
-            "execution_count": 145,
-            "id": "242dd814",
-            "metadata": {
-                "trusted": true
-            },
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div>\n",
-                            "<style scoped>\n",
-                            "    .dataframe tbody tr th:only-of-type {\n",
-                            "        vertical-align: middle;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
-                            "    }\n",
-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>2022-01</th>\n",
-                            "      <th>2022-02</th>\n",
-                            "      <th>2022-03</th>\n",
-                            "      <th>2022-04</th>\n",
-                            "      <th>2022-05</th>\n",
-                            "      <th>2022-06</th>\n",
-                            "      <th>2022-07</th>\n",
-                            "      <th>2022-08</th>\n",
-                            "      <th>2022-09</th>\n",
-                            "      <th>2022-10</th>\n",
-                            "      <th>2022-11</th>\n",
-                            "      <th>2022-12</th>\n",
-                            "      <th>2023-01</th>\n",
-                            "      <th>2023-02</th>\n",
-                            "      <th>2023-03</th>\n",
-                            "      <th>2023-04</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Organization</th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>Aquent</th>\n",
-                            "      <td>58</td>\n",
-                            "      <td>38</td>\n",
-                            "      <td>50</td>\n",
-                            "      <td>50</td>\n",
-                            "      <td>39</td>\n",
-                            "      <td>36</td>\n",
-                            "      <td>46</td>\n",
-                            "      <td>46</td>\n",
-                            "      <td>43.0</td>\n",
-                            "      <td>27.0</td>\n",
-                            "      <td>24.0</td>\n",
-                            "      <td>26</td>\n",
-                            "      <td>22</td>\n",
-                            "      <td>8.0</td>\n",
-                            "      <td>10.0</td>\n",
-                            "      <td>2.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BioLife Solutions, Inc.</th>\n",
-                            "      <td>11</td>\n",
-                            "      <td>7</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>11</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>ZyXel Communications Inc</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BrightLine Eating Solutions LLC</th>\n",
-                            "      <td>10,362</td>\n",
-                            "      <td>7,890</td>\n",
-                            "      <td>7,272</td>\n",
-                            "      <td>8,177</td>\n",
-                            "      <td>8,468</td>\n",
-                            "      <td>7,524</td>\n",
-                            "      <td>8,509</td>\n",
-                            "      <td>5,638</td>\n",
-                            "      <td>581.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Casio America Inc</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Riviera Partners LLC</th>\n",
-                            "      <td>81</td>\n",
-                            "      <td>19</td>\n",
-                            "      <td>51</td>\n",
-                            "      <td>26</td>\n",
-                            "      <td>26</td>\n",
-                            "      <td>32</td>\n",
-                            "      <td>79</td>\n",
-                            "      <td>68</td>\n",
-                            "      <td>35.0</td>\n",
-                            "      <td>23.0</td>\n",
-                            "      <td>33.0</td>\n",
-                            "      <td>25</td>\n",
-                            "      <td>75</td>\n",
-                            "      <td>71.0</td>\n",
-                            "      <td>29.0</td>\n",
-                            "      <td>4.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Viveve</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>19</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>connectRN Inc.</th>\n",
-                            "      <td>386</td>\n",
-                            "      <td>378</td>\n",
-                            "      <td>396</td>\n",
-                            "      <td>732</td>\n",
-                            "      <td>947</td>\n",
-                            "      <td>762</td>\n",
-                            "      <td>1,203</td>\n",
-                            "      <td>889</td>\n",
-                            "      <td>438.0</td>\n",
-                            "      <td>178.0</td>\n",
-                            "      <td>115.0</td>\n",
-                            "      <td>214</td>\n",
-                            "      <td>92</td>\n",
-                            "      <td>165.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Hammer Nutrition</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>7</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>6.0</td>\n",
-                            "      <td>6.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>National Campus and Community Radio Association</th>\n",
-                            "      <td>63</td>\n",
-                            "      <td>15</td>\n",
-                            "      <td>10</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>8</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>6.0</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Portnoy, Messinger, Pearl &amp; Associates, Inc.</th>\n",
-                            "      <td>28</td>\n",
-                            "      <td>27</td>\n",
-                            "      <td>79</td>\n",
-                            "      <td>17</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>8</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Safari Energy</th>\n",
-                            "      <td>2</td>\n",
-                            "      <td>37</td>\n",
-                            "      <td>19</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>38</td>\n",
-                            "      <td>24</td>\n",
-                            "      <td>6</td>\n",
-                            "      <td>21.0</td>\n",
-                            "      <td>35.0</td>\n",
-                            "      <td>10.0</td>\n",
-                            "      <td>7</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Starwood Pet Travel</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>22</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>7</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Trax Technology Solutions Pte Ltd</th>\n",
-                            "      <td>381</td>\n",
-                            "      <td>677</td>\n",
-                            "      <td>583</td>\n",
-                            "      <td>671</td>\n",
-                            "      <td>515</td>\n",
-                            "      <td>380</td>\n",
-                            "      <td>181</td>\n",
-                            "      <td>449</td>\n",
-                            "      <td>12.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Uber London Limited (POOL)</th>\n",
-                            "      <td>721</td>\n",
-                            "      <td>775</td>\n",
-                            "      <td>825</td>\n",
-                            "      <td>606</td>\n",
-                            "      <td>578</td>\n",
-                            "      <td>501</td>\n",
-                            "      <td>497</td>\n",
-                            "      <td>543</td>\n",
-                            "      <td>628.0</td>\n",
-                            "      <td>505.0</td>\n",
-                            "      <td>650.0</td>\n",
-                            "      <td>1,270</td>\n",
-                            "      <td>1,957</td>\n",
-                            "      <td>190.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Artsy</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>20</td>\n",
-                            "      <td>8</td>\n",
-                            "      <td>7</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>3</td>\n",
-                            "      <td>4.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>10.0</td>\n",
-                            "      <td>9</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BambooHR</th>\n",
-                            "      <td>2,766</td>\n",
-                            "      <td>2,895</td>\n",
-                            "      <td>2,633</td>\n",
-                            "      <td>2,378</td>\n",
-                            "      <td>2,263</td>\n",
-                            "      <td>2,143</td>\n",
-                            "      <td>2,060</td>\n",
-                            "      <td>587</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BrightMove</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Cherokee Enterprises, Inc.</th>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Epiphany Healthcare</th>\n",
-                            "      <td>9</td>\n",
-                            "      <td>18</td>\n",
-                            "      <td>33</td>\n",
-                            "      <td>8</td>\n",
-                            "      <td>8</td>\n",
-                            "      <td>5</td>\n",
-                            "      <td>13</td>\n",
-                            "      <td>28</td>\n",
-                            "      <td>14.0</td>\n",
-                            "      <td>15.0</td>\n",
-                            "      <td>6.0</td>\n",
-                            "      <td>13</td>\n",
-                            "      <td>6</td>\n",
-                            "      <td>2.0</td>\n",
-                            "      <td>NaN</td>\n",
-                            "      <td>NaN</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "                                                2022-01 2022-02 2022-03   \n",
-                            "Organization                                                              \n",
-                            "Aquent                                               58      38      50  \\\n",
-                            "BioLife Solutions, Inc.                              11       7       4   \n",
-                            "ZyXel Communications Inc                              1       1       2   \n",
-                            "BrightLine Eating Solutions LLC                  10,362   7,890   7,272   \n",
-                            "Casio America Inc                                   NaN     NaN     NaN   \n",
-                            "Riviera Partners LLC                                 81      19      51   \n",
-                            "Viveve                                              NaN     NaN     NaN   \n",
-                            "connectRN Inc.                                      386     378     396   \n",
-                            "Hammer Nutrition                                    NaN       1       1   \n",
-                            "National Campus and Community Radio Association      63      15      10   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.         28      27      79   \n",
-                            "Safari Energy                                         2      37      19   \n",
-                            "Starwood Pet Travel                                 NaN       1       4   \n",
-                            "Trax Technology Solutions Pte Ltd                   381     677     583   \n",
-                            "Uber London Limited (POOL)                          721     775     825   \n",
-                            "Artsy                                               NaN       5       5   \n",
-                            "BambooHR                                          2,766   2,895   2,633   \n",
-                            "BrightMove                                          NaN     NaN     NaN   \n",
-                            "Cherokee Enterprises, Inc.                          NaN       1       2   \n",
-                            "Epiphany Healthcare                                   9      18      33   \n",
-                            "\n",
-                            "                                                2022-04 2022-05 2022-06   \n",
-                            "Organization                                                              \n",
-                            "Aquent                                               50      39      36  \\\n",
-                            "BioLife Solutions, Inc.                              11       4     NaN   \n",
-                            "ZyXel Communications Inc                              1       2       4   \n",
-                            "BrightLine Eating Solutions LLC                   8,177   8,468   7,524   \n",
-                            "Casio America Inc                                   NaN     NaN       1   \n",
-                            "Riviera Partners LLC                                 26      26      32   \n",
-                            "Viveve                                              NaN     NaN       4   \n",
-                            "connectRN Inc.                                      732     947     762   \n",
-                            "Hammer Nutrition                                      2       7       5   \n",
-                            "National Campus and Community Radio Association       4       8       2   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.         17       1       3   \n",
-                            "Safari Energy                                         2       1      38   \n",
-                            "Starwood Pet Travel                                  22       2       1   \n",
-                            "Trax Technology Solutions Pte Ltd                   671     515     380   \n",
-                            "Uber London Limited (POOL)                          606     578     501   \n",
-                            "Artsy                                                20       8       7   \n",
-                            "BambooHR                                          2,378   2,263   2,143   \n",
-                            "BrightMove                                          NaN     NaN     NaN   \n",
-                            "Cherokee Enterprises, Inc.                            2     NaN       1   \n",
-                            "Epiphany Healthcare                                   8       8       5   \n",
-                            "\n",
-                            "                                                2022-07 2022-08  2022-09   \n",
-                            "Organization                                                               \n",
-                            "Aquent                                               46      46     43.0  \\\n",
-                            "BioLife Solutions, Inc.                             NaN     NaN      NaN   \n",
-                            "ZyXel Communications Inc                              2       2      1.0   \n",
-                            "BrightLine Eating Solutions LLC                   8,509   5,638    581.0   \n",
-                            "Casio America Inc                                   NaN     NaN      NaN   \n",
-                            "Riviera Partners LLC                                 79      68     35.0   \n",
-                            "Viveve                                                1     NaN      NaN   \n",
-                            "connectRN Inc.                                    1,203     889    438.0   \n",
-                            "Hammer Nutrition                                      4       5      6.0   \n",
-                            "National Campus and Community Radio Association       3     NaN      4.0   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.          8     NaN      1.0   \n",
-                            "Safari Energy                                        24       6     21.0   \n",
-                            "Starwood Pet Travel                                   7     NaN      NaN   \n",
-                            "Trax Technology Solutions Pte Ltd                   181     449     12.0   \n",
-                            "Uber London Limited (POOL)                          497     543    628.0   \n",
-                            "Artsy                                                 4       3      4.0   \n",
-                            "BambooHR                                          2,060     587      NaN   \n",
-                            "BrightMove                                          NaN     NaN      NaN   \n",
-                            "Cherokee Enterprises, Inc.                            2     NaN      2.0   \n",
-                            "Epiphany Healthcare                                  13      28     14.0   \n",
-                            "\n",
-                            "                                                 2022-10  2022-11 2022-12   \n",
-                            "Organization                                                                \n",
-                            "Aquent                                              27.0     24.0      26  \\\n",
-                            "BioLife Solutions, Inc.                              NaN      NaN     NaN   \n",
-                            "ZyXel Communications Inc                             NaN      NaN     NaN   \n",
-                            "BrightLine Eating Solutions LLC                      NaN      NaN     NaN   \n",
-                            "Casio America Inc                                    NaN      NaN     NaN   \n",
-                            "Riviera Partners LLC                                23.0     33.0      25   \n",
-                            "Viveve                                               NaN      NaN      19   \n",
-                            "connectRN Inc.                                     178.0    115.0     214   \n",
-                            "Hammer Nutrition                                     6.0      NaN     NaN   \n",
-                            "National Campus and Community Radio Association      4.0      6.0       5   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.         NaN      1.0       1   \n",
-                            "Safari Energy                                       35.0     10.0       7   \n",
-                            "Starwood Pet Travel                                  NaN      NaN       2   \n",
-                            "Trax Technology Solutions Pte Ltd                    NaN      1.0       1   \n",
-                            "Uber London Limited (POOL)                         505.0    650.0   1,270   \n",
-                            "Artsy                                                NaN     10.0       9   \n",
-                            "BambooHR                                             NaN      NaN     NaN   \n",
-                            "BrightMove                                           NaN      NaN     NaN   \n",
-                            "Cherokee Enterprises, Inc.                           1.0      2.0     NaN   \n",
-                            "Epiphany Healthcare                                 15.0      6.0      13   \n",
-                            "\n",
-                            "                                                2023-01  2023-02  2023-03   \n",
-                            "Organization                                                                \n",
-                            "Aquent                                               22      8.0     10.0  \\\n",
-                            "BioLife Solutions, Inc.                             NaN      NaN      NaN   \n",
-                            "ZyXel Communications Inc                            NaN      1.0      1.0   \n",
-                            "BrightLine Eating Solutions LLC                     NaN      NaN      NaN   \n",
-                            "Casio America Inc                                   NaN      NaN      NaN   \n",
-                            "Riviera Partners LLC                                 75     71.0     29.0   \n",
-                            "Viveve                                                3      NaN      NaN   \n",
-                            "connectRN Inc.                                       92    165.0      NaN   \n",
-                            "Hammer Nutrition                                    NaN      NaN      NaN   \n",
-                            "National Campus and Community Radio Association       5      2.0      NaN   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.          2      NaN      NaN   \n",
-                            "Safari Energy                                         1      NaN      NaN   \n",
-                            "Starwood Pet Travel                                 NaN      2.0      NaN   \n",
-                            "Trax Technology Solutions Pte Ltd                     1      NaN      NaN   \n",
-                            "Uber London Limited (POOL)                        1,957    190.0      NaN   \n",
-                            "Artsy                                               NaN      1.0      NaN   \n",
-                            "BambooHR                                            NaN      NaN      NaN   \n",
-                            "BrightMove                                          NaN      NaN      NaN   \n",
-                            "Cherokee Enterprises, Inc.                            1      NaN      NaN   \n",
-                            "Epiphany Healthcare                                   6      2.0      NaN   \n",
-                            "\n",
-                            "                                                 2023-04  \n",
-                            "Organization                                              \n",
-                            "Aquent                                               2.0  \n",
-                            "BioLife Solutions, Inc.                              NaN  \n",
-                            "ZyXel Communications Inc                             NaN  \n",
-                            "BrightLine Eating Solutions LLC                      NaN  \n",
-                            "Casio America Inc                                    NaN  \n",
-                            "Riviera Partners LLC                                 4.0  \n",
-                            "Viveve                                               NaN  \n",
-                            "connectRN Inc.                                       NaN  \n",
-                            "Hammer Nutrition                                     NaN  \n",
-                            "National Campus and Community Radio Association      NaN  \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.         NaN  \n",
-                            "Safari Energy                                        NaN  \n",
-                            "Starwood Pet Travel                                  NaN  \n",
-                            "Trax Technology Solutions Pte Ltd                    NaN  \n",
-                            "Uber London Limited (POOL)                           NaN  \n",
-                            "Artsy                                                NaN  \n",
-                            "BambooHR                                             NaN  \n",
-                            "BrightMove                                           NaN  \n",
-                            "Cherokee Enterprises, Inc.                           NaN  \n",
-                            "Epiphany Healthcare                                  NaN  "
-                        ]
-                    },
-                    "execution_count": 145,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "import pandas as pd\n",
-                "import numpy as np\n",
-                "import matplotlib\n",
-                "import sketch\n",
-                "from sklearn.preprocessing import MinMaxScaler\n",
-                "cd = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\", index_col=0, header=[0])\n",
-                "cd.head(20)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 146,
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "#cd.columns = cd.columns.map(''.join)\n",
-                "#cd.rename_axis('Organization').reset_index()\n",
-                "#cd.set_index(keys=cd.columns[1], inplace=True)\n",
-                "\n",
-                "#df = cd.iloc[0, 0]\n",
-                "#print(df)\n",
-                "\n",
-                "#columns = cd.columns\n",
-                "#print(columns)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 147,
-            "id": "9b7b888f",
-            "metadata": {
-                "trusted": true
-            },
-            "outputs": [
-                {
-                    "data": {
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-                            "    .dataframe tbody tr th:only-of-type {\n",
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-                            "\n",
-                            "    .dataframe tbody tr th {\n",
-                            "        vertical-align: top;\n",
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-                            "\n",
-                            "    .dataframe thead th {\n",
-                            "        text-align: right;\n",
-                            "    }\n",
-                            "</style>\n",
-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>2022-01</th>\n",
-                            "      <th>2022-02</th>\n",
-                            "      <th>2022-03</th>\n",
-                            "      <th>2022-04</th>\n",
-                            "      <th>2022-05</th>\n",
-                            "      <th>2022-06</th>\n",
-                            "      <th>2022-07</th>\n",
-                            "      <th>2022-08</th>\n",
-                            "      <th>2022-09</th>\n",
-                            "      <th>2022-10</th>\n",
-                            "      <th>2022-11</th>\n",
-                            "      <th>2022-12</th>\n",
-                            "      <th>2023-01</th>\n",
-                            "      <th>2023-02</th>\n",
-                            "      <th>2023-03</th>\n",
-                            "      <th>2023-04</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Organization</th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>Aquent</th>\n",
-                            "      <td>58</td>\n",
-                            "      <td>38</td>\n",
-                            "      <td>50</td>\n",
-                            "      <td>50</td>\n",
-                            "      <td>39</td>\n",
-                            "      <td>36</td>\n",
-                            "      <td>46</td>\n",
-                            "      <td>46</td>\n",
-                            "      <td>43.0</td>\n",
-                            "      <td>27.0</td>\n",
-                            "      <td>24.0</td>\n",
-                            "      <td>26</td>\n",
-                            "      <td>22</td>\n",
-                            "      <td>8.0</td>\n",
-                            "      <td>10.0</td>\n",
-                            "      <td>2.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BioLife Solutions, Inc.</th>\n",
-                            "      <td>11</td>\n",
-                            "      <td>7</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>11</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>ZyXel Communications Inc</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>1.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BrightLine Eating Solutions LLC</th>\n",
-                            "      <td>10362</td>\n",
-                            "      <td>7890</td>\n",
-                            "      <td>7272</td>\n",
-                            "      <td>8177</td>\n",
-                            "      <td>8468</td>\n",
-                            "      <td>7524</td>\n",
-                            "      <td>8509</td>\n",
-                            "      <td>5638</td>\n",
-                            "      <td>581.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Casio America Inc</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "                                2022-01 2022-02 2022-03 2022-04 2022-05   \n",
-                            "Organization                                                              \n",
-                            "Aquent                               58      38      50      50      39  \\\n",
-                            "BioLife Solutions, Inc.              11       7       4      11       4   \n",
-                            "ZyXel Communications Inc              1       1       2       1       2   \n",
-                            "BrightLine Eating Solutions LLC   10362    7890    7272    8177    8468   \n",
-                            "Casio America Inc                     0       0       0       0       0   \n",
-                            "\n",
-                            "                                2022-06 2022-07 2022-08  2022-09  2022-10   \n",
-                            "Organization                                                                \n",
-                            "Aquent                               36      46      46     43.0     27.0  \\\n",
-                            "BioLife Solutions, Inc.               0       0       0      0.0      0.0   \n",
-                            "ZyXel Communications Inc              4       2       2      1.0      0.0   \n",
-                            "BrightLine Eating Solutions LLC    7524    8509    5638    581.0      0.0   \n",
-                            "Casio America Inc                     1       0       0      0.0      0.0   \n",
-                            "\n",
-                            "                                 2022-11 2022-12 2023-01  2023-02  2023-03   \n",
-                            "Organization                                                                 \n",
-                            "Aquent                              24.0      26      22      8.0     10.0  \\\n",
-                            "BioLife Solutions, Inc.              0.0       0       0      0.0      0.0   \n",
-                            "ZyXel Communications Inc             0.0       0       0      1.0      1.0   \n",
-                            "BrightLine Eating Solutions LLC      0.0       0       0      0.0      0.0   \n",
-                            "Casio America Inc                    0.0       0       0      0.0      0.0   \n",
-                            "\n",
-                            "                                 2023-04  \n",
-                            "Organization                              \n",
-                            "Aquent                               2.0  \n",
-                            "BioLife Solutions, Inc.              0.0  \n",
-                            "ZyXel Communications Inc             0.0  \n",
-                            "BrightLine Eating Solutions LLC      0.0  \n",
-                            "Casio America Inc                    0.0  "
-                        ]
-                    },
-                    "execution_count": 147,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Replace all NaN values with 0\n",
-                "cd.fillna(0, inplace=True)\n",
-                "#cd.replace(np.inf, 0)\n",
-                "\n",
-                "# Remove all commas from strings\n",
-                "cd.replace(',','', regex=True, inplace=True)\n",
-                "# cd = cd.drop(['Churn Date', 'OrgID'], axis=1)\n",
-                "# cd.set_index(cd['Organization'])\n",
-                "cd.head(5)\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 148,
-            "id": "1d8b19f4",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
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-                            "    }\n",
-                            "\n",
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-                            "        vertical-align: top;\n",
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-                            "<table border=\"1\" class=\"dataframe\">\n",
-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>2022-01</th>\n",
-                            "      <th>2022-02</th>\n",
-                            "      <th>2022-03</th>\n",
-                            "      <th>2022-04</th>\n",
-                            "      <th>2022-05</th>\n",
-                            "      <th>2022-06</th>\n",
-                            "      <th>2022-07</th>\n",
-                            "      <th>2022-08</th>\n",
-                            "      <th>2022-09</th>\n",
-                            "      <th>2022-10</th>\n",
-                            "      <th>2022-11</th>\n",
-                            "      <th>2022-12</th>\n",
-                            "      <th>2023-01</th>\n",
-                            "      <th>2023-02</th>\n",
-                            "      <th>2023-03</th>\n",
-                            "      <th>2023-04</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Organization</th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>Aquent</th>\n",
-                            "      <td>58</td>\n",
-                            "      <td>38</td>\n",
-                            "      <td>50</td>\n",
-                            "      <td>50</td>\n",
-                            "      <td>39</td>\n",
-                            "      <td>36</td>\n",
-                            "      <td>46</td>\n",
-                            "      <td>46</td>\n",
-                            "      <td>43</td>\n",
-                            "      <td>27</td>\n",
-                            "      <td>24</td>\n",
-                            "      <td>26</td>\n",
-                            "      <td>22</td>\n",
-                            "      <td>8</td>\n",
-                            "      <td>10</td>\n",
-                            "      <td>2</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BioLife Solutions, Inc.</th>\n",
-                            "      <td>11</td>\n",
-                            "      <td>7</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>11</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>ZyXel Communications Inc</th>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>4</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>2</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BrightLine Eating Solutions LLC</th>\n",
-                            "      <td>10362</td>\n",
-                            "      <td>7890</td>\n",
-                            "      <td>7272</td>\n",
-                            "      <td>8177</td>\n",
-                            "      <td>8468</td>\n",
-                            "      <td>7524</td>\n",
-                            "      <td>8509</td>\n",
-                            "      <td>5638</td>\n",
-                            "      <td>581</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Casio America Inc</th>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>1</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "      <td>0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "                                 2022-01  2022-02  2022-03  2022-04  2022-05   \n",
-                            "Organization                                                                   \n",
-                            "Aquent                                58       38       50       50       39  \\\n",
-                            "BioLife Solutions, Inc.               11        7        4       11        4   \n",
-                            "ZyXel Communications Inc               1        1        2        1        2   \n",
-                            "BrightLine Eating Solutions LLC    10362     7890     7272     8177     8468   \n",
-                            "Casio America Inc                      0        0        0        0        0   \n",
-                            "\n",
-                            "                                 2022-06  2022-07  2022-08  2022-09  2022-10   \n",
-                            "Organization                                                                   \n",
-                            "Aquent                                36       46       46       43       27  \\\n",
-                            "BioLife Solutions, Inc.                0        0        0        0        0   \n",
-                            "ZyXel Communications Inc               4        2        2        1        0   \n",
-                            "BrightLine Eating Solutions LLC     7524     8509     5638      581        0   \n",
-                            "Casio America Inc                      1        0        0        0        0   \n",
-                            "\n",
-                            "                                 2022-11  2022-12  2023-01  2023-02  2023-03   \n",
-                            "Organization                                                                   \n",
-                            "Aquent                                24       26       22        8       10  \\\n",
-                            "BioLife Solutions, Inc.                0        0        0        0        0   \n",
-                            "ZyXel Communications Inc               0        0        0        1        1   \n",
-                            "BrightLine Eating Solutions LLC        0        0        0        0        0   \n",
-                            "Casio America Inc                      0        0        0        0        0   \n",
-                            "\n",
-                            "                                 2023-04  \n",
-                            "Organization                              \n",
-                            "Aquent                                 2  \n",
-                            "BioLife Solutions, Inc.                0  \n",
-                            "ZyXel Communications Inc               0  \n",
-                            "BrightLine Eating Solutions LLC        0  \n",
-                            "Casio America Inc                      0  "
-                        ]
-                    },
-                    "execution_count": 148,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Convert all strings after the column 'Churn Data' to integers\n",
-                "for col in cd.columns[0:]:\n",
-                "    cd[col] = cd[col].astype(int)\n",
-                "\n",
-                "cd.head()"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 149,
-            "id": "0c1ebbaa",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "2022-01    int64\n",
-                        "2022-02    int64\n",
-                        "2022-03    int64\n",
-                        "2022-04    int64\n",
-                        "2022-05    int64\n",
-                        "2022-06    int64\n",
-                        "2022-07    int64\n",
-                        "2022-08    int64\n",
-                        "2022-09    int64\n",
-                        "2022-10    int64\n",
-                        "2022-11    int64\n",
-                        "2022-12    int64\n",
-                        "2023-01    int64\n",
-                        "2023-02    int64\n",
-                        "2023-03    int64\n",
-                        "2023-04    int64\n",
-                        "dtype: object\n"
-                    ]
-                }
-            ],
-            "source": [
-                "types = cd.dtypes\n",
-                "print(types)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 117,
-            "id": "53e62d47",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<div style=\"display:flex;flex-direction:row;justify-content:space-between;\">\n",
-                            "                <pre style=\"width: 100%; white-space: pre-wrap;\" id=\"7d44416c-7c88-4d28-96cc-73d3c9c5bafd\">\n",
-                            "# Create a new dataframe to store the scaled values\n",
-                            "scaled_df = pd.DataFrame()\n",
-                            "\n",
-                            "# Iterate through each row in the original dataframe\n",
-                            "for index, row in cd.iterrows():\n",
-                            "    # Create a list to store the scaled values for each row\n",
-                            "    scaled_row = []\n",
-                            "    \n",
-                            "    # Iterate through each column in the row\n",
-                            "    for col in cd.columns:\n",
-                            "        # Calculate the min/max scale value for the column\n",
-                            "        min_val = row[col].min()\n",
-                            "        max_val = row[col].max()\n",
-                            "        \n",
-                            "        # Handle DivideByZero errors by setting the value to 0 if min and max are equal\n",
-                            "        if min_val == max_val:\n",
-                            "            scaled_val = 0\n",
-                            "        else:\n",
-                            "            scaled_val = (row[col] - min_val) / (max_val - min_val)\n",
-                            "\n",
-                            "        # Append the scaled value to the list of scaled values for this row\n",
-                            "        scaled_row.append(scaled_val)\n",
-                            "\n",
-                            "    # Add the list of scaled values to the new dataframe as a new row\n",
-                            "    scaled_df = scaled_df.append(pd.Series(scaled_row), ignore_index=True)\n",
-                            "</pre>\n",
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-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
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-            ],
-            "source": [
-                "cd.sketch.howto(\"Apply min/max scale with each min/max value being unique to each row. Handled DivideByZero errors by having the value equal 0.\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 150,
-            "id": "1563f3f5",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
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-                            "  <thead>\n",
-                            "    <tr style=\"text-align: right;\">\n",
-                            "      <th></th>\n",
-                            "      <th>2022-01</th>\n",
-                            "      <th>2022-02</th>\n",
-                            "      <th>2022-03</th>\n",
-                            "      <th>2022-04</th>\n",
-                            "      <th>2022-05</th>\n",
-                            "      <th>2022-06</th>\n",
-                            "      <th>2022-07</th>\n",
-                            "      <th>2022-08</th>\n",
-                            "      <th>2022-09</th>\n",
-                            "      <th>2022-10</th>\n",
-                            "      <th>2022-11</th>\n",
-                            "      <th>2022-12</th>\n",
-                            "      <th>2023-01</th>\n",
-                            "      <th>2023-02</th>\n",
-                            "      <th>2023-03</th>\n",
-                            "      <th>2023-04</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
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-                        "text/plain": [
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-                            "Index: []"
-                        ]
-                    },
-                    "execution_count": 150,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Create a new dataframe to store the scaled values\n",
-                "heading = cd.columns[0:]\n",
-                "scaled_df = pd.DataFrame(columns = heading)\n",
-                "scaled_df.head()\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 151,
-            "id": "391171e2",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
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-                            "      <th></th>\n",
-                            "      <th>2022-01</th>\n",
-                            "      <th>2022-02</th>\n",
-                            "      <th>2022-03</th>\n",
-                            "      <th>2022-04</th>\n",
-                            "      <th>2022-05</th>\n",
-                            "      <th>2022-06</th>\n",
-                            "      <th>2022-07</th>\n",
-                            "      <th>2022-08</th>\n",
-                            "      <th>2022-09</th>\n",
-                            "      <th>2022-10</th>\n",
-                            "      <th>2022-11</th>\n",
-                            "      <th>2022-12</th>\n",
-                            "      <th>2023-01</th>\n",
-                            "      <th>2023-02</th>\n",
-                            "      <th>2023-03</th>\n",
-                            "      <th>2023-04</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Organization</th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "      <th></th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th>Aquent</th>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.642857</td>\n",
-                            "      <td>0.857143</td>\n",
-                            "      <td>0.857143</td>\n",
-                            "      <td>0.660714</td>\n",
-                            "      <td>0.607143</td>\n",
-                            "      <td>0.785714</td>\n",
-                            "      <td>0.785714</td>\n",
-                            "      <td>0.732143</td>\n",
-                            "      <td>0.446429</td>\n",
-                            "      <td>0.392857</td>\n",
-                            "      <td>0.428571</td>\n",
-                            "      <td>0.357143</td>\n",
-                            "      <td>0.107143</td>\n",
-                            "      <td>0.142857</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BioLife Solutions, Inc.</th>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.636364</td>\n",
-                            "      <td>0.363636</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.363636</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>ZyXel Communications Inc</th>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BrightLine Eating Solutions LLC</th>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.761436</td>\n",
-                            "      <td>0.701795</td>\n",
-                            "      <td>0.789133</td>\n",
-                            "      <td>0.817217</td>\n",
-                            "      <td>0.726115</td>\n",
-                            "      <td>0.821174</td>\n",
-                            "      <td>0.544103</td>\n",
-                            "      <td>0.056070</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Casio America Inc</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Riviera Partners LLC</th>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.194805</td>\n",
-                            "      <td>0.610390</td>\n",
-                            "      <td>0.285714</td>\n",
-                            "      <td>0.285714</td>\n",
-                            "      <td>0.363636</td>\n",
-                            "      <td>0.974026</td>\n",
-                            "      <td>0.831169</td>\n",
-                            "      <td>0.402597</td>\n",
-                            "      <td>0.246753</td>\n",
-                            "      <td>0.376623</td>\n",
-                            "      <td>0.272727</td>\n",
-                            "      <td>0.922078</td>\n",
-                            "      <td>0.870130</td>\n",
-                            "      <td>0.324675</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Viveve</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.210526</td>\n",
-                            "      <td>0.052632</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.157895</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>connectRN Inc.</th>\n",
-                            "      <td>0.320865</td>\n",
-                            "      <td>0.314214</td>\n",
-                            "      <td>0.329177</td>\n",
-                            "      <td>0.608479</td>\n",
-                            "      <td>0.787199</td>\n",
-                            "      <td>0.633416</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.738986</td>\n",
-                            "      <td>0.364090</td>\n",
-                            "      <td>0.147963</td>\n",
-                            "      <td>0.095594</td>\n",
-                            "      <td>0.177889</td>\n",
-                            "      <td>0.076475</td>\n",
-                            "      <td>0.137157</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Hammer Nutrition</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.142857</td>\n",
-                            "      <td>0.142857</td>\n",
-                            "      <td>0.285714</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.714286</td>\n",
-                            "      <td>0.571429</td>\n",
-                            "      <td>0.714286</td>\n",
-                            "      <td>0.857143</td>\n",
-                            "      <td>0.857143</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>National Campus and Community Radio Association</th>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.238095</td>\n",
-                            "      <td>0.158730</td>\n",
-                            "      <td>0.063492</td>\n",
-                            "      <td>0.126984</td>\n",
-                            "      <td>0.031746</td>\n",
-                            "      <td>0.047619</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.063492</td>\n",
-                            "      <td>0.063492</td>\n",
-                            "      <td>0.095238</td>\n",
-                            "      <td>0.079365</td>\n",
-                            "      <td>0.079365</td>\n",
-                            "      <td>0.031746</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Portnoy, Messinger, Pearl &amp; Associates, Inc.</th>\n",
-                            "      <td>0.354430</td>\n",
-                            "      <td>0.341772</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.215190</td>\n",
-                            "      <td>0.012658</td>\n",
-                            "      <td>0.037975</td>\n",
-                            "      <td>0.101266</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.012658</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.012658</td>\n",
-                            "      <td>0.012658</td>\n",
-                            "      <td>0.025316</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Safari Energy</th>\n",
-                            "      <td>0.052632</td>\n",
-                            "      <td>0.973684</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.052632</td>\n",
-                            "      <td>0.026316</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.631579</td>\n",
-                            "      <td>0.157895</td>\n",
-                            "      <td>0.552632</td>\n",
-                            "      <td>0.921053</td>\n",
-                            "      <td>0.263158</td>\n",
-                            "      <td>0.184211</td>\n",
-                            "      <td>0.026316</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Starwood Pet Travel</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.045455</td>\n",
-                            "      <td>0.181818</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.090909</td>\n",
-                            "      <td>0.045455</td>\n",
-                            "      <td>0.318182</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.090909</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.090909</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Trax Technology Solutions Pte Ltd</th>\n",
-                            "      <td>0.562777</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.861152</td>\n",
-                            "      <td>0.991137</td>\n",
-                            "      <td>0.760709</td>\n",
-                            "      <td>0.561300</td>\n",
-                            "      <td>0.267356</td>\n",
-                            "      <td>0.663220</td>\n",
-                            "      <td>0.017725</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.001477</td>\n",
-                            "      <td>0.001477</td>\n",
-                            "      <td>0.001477</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Uber London Limited (POOL)</th>\n",
-                            "      <td>0.368421</td>\n",
-                            "      <td>0.396014</td>\n",
-                            "      <td>0.421564</td>\n",
-                            "      <td>0.309658</td>\n",
-                            "      <td>0.295350</td>\n",
-                            "      <td>0.256004</td>\n",
-                            "      <td>0.253960</td>\n",
-                            "      <td>0.277466</td>\n",
-                            "      <td>0.320899</td>\n",
-                            "      <td>0.258048</td>\n",
-                            "      <td>0.332141</td>\n",
-                            "      <td>0.648952</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.097087</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Artsy</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.400000</td>\n",
-                            "      <td>0.350000</td>\n",
-                            "      <td>0.200000</td>\n",
-                            "      <td>0.150000</td>\n",
-                            "      <td>0.200000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.450000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.050000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BambooHR</th>\n",
-                            "      <td>0.955440</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.909499</td>\n",
-                            "      <td>0.821416</td>\n",
-                            "      <td>0.781693</td>\n",
-                            "      <td>0.740242</td>\n",
-                            "      <td>0.711572</td>\n",
-                            "      <td>0.202763</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>BrightMove</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Cherokee Enterprises, Inc.</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Epiphany Healthcare</th>\n",
-                            "      <td>0.272727</td>\n",
-                            "      <td>0.545455</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.242424</td>\n",
-                            "      <td>0.242424</td>\n",
-                            "      <td>0.151515</td>\n",
-                            "      <td>0.393939</td>\n",
-                            "      <td>0.848485</td>\n",
-                            "      <td>0.424242</td>\n",
-                            "      <td>0.454545</td>\n",
-                            "      <td>0.181818</td>\n",
-                            "      <td>0.393939</td>\n",
-                            "      <td>0.181818</td>\n",
-                            "      <td>0.060606</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>H1 Insights, Inc.</th>\n",
-                            "      <td>0.797468</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.860759</td>\n",
-                            "      <td>0.405063</td>\n",
-                            "      <td>0.474684</td>\n",
-                            "      <td>0.607595</td>\n",
-                            "      <td>0.525316</td>\n",
-                            "      <td>0.398734</td>\n",
-                            "      <td>0.240506</td>\n",
-                            "      <td>0.082278</td>\n",
-                            "      <td>0.063291</td>\n",
-                            "      <td>0.088608</td>\n",
-                            "      <td>0.082278</td>\n",
-                            "      <td>0.018987</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Health Current</th>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.500000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.250000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Innovaccer Inc.</th>\n",
-                            "      <td>0.952830</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.787736</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Kinetica</th>\n",
-                            "      <td>0.619048</td>\n",
-                            "      <td>0.476190</td>\n",
-                            "      <td>0.285714</td>\n",
-                            "      <td>0.142857</td>\n",
-                            "      <td>0.333333</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.095238</td>\n",
-                            "      <td>0.238095</td>\n",
-                            "      <td>0.380952</td>\n",
-                            "      <td>0.238095</td>\n",
-                            "      <td>0.190476</td>\n",
-                            "      <td>0.380952</td>\n",
-                            "      <td>0.095238</td>\n",
-                            "      <td>0.095238</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Minga</th>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Renu Contracting Restoration</th>\n",
-                            "      <td>0.101523</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.121827</td>\n",
-                            "      <td>0.045685</td>\n",
-                            "      <td>0.116751</td>\n",
-                            "      <td>0.106599</td>\n",
-                            "      <td>0.192893</td>\n",
-                            "      <td>0.076142</td>\n",
-                            "      <td>0.020305</td>\n",
-                            "      <td>0.050761</td>\n",
-                            "      <td>0.010152</td>\n",
-                            "      <td>0.015228</td>\n",
-                            "      <td>0.020305</td>\n",
-                            "      <td>0.020305</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th>Velocity Risk Underwriters, LLC</th>\n",
-                            "      <td>0.226562</td>\n",
-                            "      <td>0.039062</td>\n",
-                            "      <td>0.054688</td>\n",
-                            "      <td>0.070312</td>\n",
-                            "      <td>0.093750</td>\n",
-                            "      <td>0.156250</td>\n",
-                            "      <td>0.031250</td>\n",
-                            "      <td>0.296875</td>\n",
-                            "      <td>0.078125</td>\n",
-                            "      <td>0.054688</td>\n",
-                            "      <td>0.117188</td>\n",
-                            "      <td>0.773438</td>\n",
-                            "      <td>1.000000</td>\n",
-                            "      <td>0.085938</td>\n",
-                            "      <td>0.000000</td>\n",
-                            "      <td>0.0</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n",
-                            "</div>"
-                        ],
-                        "text/plain": [
-                            "                                                  2022-01   2022-02   2022-03   \n",
-                            "Organization                                                                    \n",
-                            "Aquent                                           1.000000  0.642857  0.857143  \\\n",
-                            "BioLife Solutions, Inc.                          1.000000  0.636364  0.363636   \n",
-                            "ZyXel Communications Inc                         0.250000  0.250000  0.500000   \n",
-                            "BrightLine Eating Solutions LLC                  1.000000  0.761436  0.701795   \n",
-                            "Casio America Inc                                0.000000  0.000000  0.000000   \n",
-                            "Riviera Partners LLC                             1.000000  0.194805  0.610390   \n",
-                            "Viveve                                           0.000000  0.000000  0.000000   \n",
-                            "connectRN Inc.                                   0.320865  0.314214  0.329177   \n",
-                            "Hammer Nutrition                                 0.000000  0.142857  0.142857   \n",
-                            "National Campus and Community Radio Association  1.000000  0.238095  0.158730   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.     0.354430  0.341772  1.000000   \n",
-                            "Safari Energy                                    0.052632  0.973684  0.500000   \n",
-                            "Starwood Pet Travel                              0.000000  0.045455  0.181818   \n",
-                            "Trax Technology Solutions Pte Ltd                0.562777  1.000000  0.861152   \n",
-                            "Uber London Limited (POOL)                       0.368421  0.396014  0.421564   \n",
-                            "Artsy                                            0.000000  0.250000  0.250000   \n",
-                            "BambooHR                                         0.955440  1.000000  0.909499   \n",
-                            "BrightMove                                       0.000000  0.000000  0.000000   \n",
-                            "Cherokee Enterprises, Inc.                       0.000000  0.500000  1.000000   \n",
-                            "Epiphany Healthcare                              0.272727  0.545455  1.000000   \n",
-                            "H1 Insights, Inc.                                0.797468  1.000000  0.860759   \n",
-                            "Health Current                                   1.000000  0.500000  0.250000   \n",
-                            "Innovaccer Inc.                                  0.952830  1.000000  0.787736   \n",
-                            "Kinetica                                         0.619048  0.476190  0.285714   \n",
-                            "Minga                                            0.000000  0.000000  0.000000   \n",
-                            "Renu Contracting Restoration                     0.101523  1.000000  0.121827   \n",
-                            "Velocity Risk Underwriters, LLC                  0.226562  0.039062  0.054688   \n",
-                            "\n",
-                            "                                                  2022-04   2022-05   2022-06   \n",
-                            "Organization                                                                    \n",
-                            "Aquent                                           0.857143  0.660714  0.607143  \\\n",
-                            "BioLife Solutions, Inc.                          1.000000  0.363636  0.000000   \n",
-                            "ZyXel Communications Inc                         0.250000  0.500000  1.000000   \n",
-                            "BrightLine Eating Solutions LLC                  0.789133  0.817217  0.726115   \n",
-                            "Casio America Inc                                0.000000  0.000000  1.000000   \n",
-                            "Riviera Partners LLC                             0.285714  0.285714  0.363636   \n",
-                            "Viveve                                           0.000000  0.000000  0.210526   \n",
-                            "connectRN Inc.                                   0.608479  0.787199  0.633416   \n",
-                            "Hammer Nutrition                                 0.285714  1.000000  0.714286   \n",
-                            "National Campus and Community Radio Association  0.063492  0.126984  0.031746   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.     0.215190  0.012658  0.037975   \n",
-                            "Safari Energy                                    0.052632  0.026316  1.000000   \n",
-                            "Starwood Pet Travel                              1.000000  0.090909  0.045455   \n",
-                            "Trax Technology Solutions Pte Ltd                0.991137  0.760709  0.561300   \n",
-                            "Uber London Limited (POOL)                       0.309658  0.295350  0.256004   \n",
-                            "Artsy                                            1.000000  0.400000  0.350000   \n",
-                            "BambooHR                                         0.821416  0.781693  0.740242   \n",
-                            "BrightMove                                       0.000000  0.000000  0.000000   \n",
-                            "Cherokee Enterprises, Inc.                       1.000000  0.000000  0.500000   \n",
-                            "Epiphany Healthcare                              0.242424  0.242424  0.151515   \n",
-                            "H1 Insights, Inc.                                0.405063  0.474684  0.607595   \n",
-                            "Health Current                                   0.000000  0.000000  0.000000   \n",
-                            "Innovaccer Inc.                                  0.000000  0.000000  0.000000   \n",
-                            "Kinetica                                         0.142857  0.333333  1.000000   \n",
-                            "Minga                                            0.000000  0.000000  0.000000   \n",
-                            "Renu Contracting Restoration                     0.045685  0.116751  0.106599   \n",
-                            "Velocity Risk Underwriters, LLC                  0.070312  0.093750  0.156250   \n",
-                            "\n",
-                            "                                                  2022-07   2022-08   2022-09   \n",
-                            "Organization                                                                    \n",
-                            "Aquent                                           0.785714  0.785714  0.732143  \\\n",
-                            "BioLife Solutions, Inc.                          0.000000  0.000000  0.000000   \n",
-                            "ZyXel Communications Inc                         0.500000  0.500000  0.250000   \n",
-                            "BrightLine Eating Solutions LLC                  0.821174  0.544103  0.056070   \n",
-                            "Casio America Inc                                0.000000  0.000000  0.000000   \n",
-                            "Riviera Partners LLC                             0.974026  0.831169  0.402597   \n",
-                            "Viveve                                           0.052632  0.000000  0.000000   \n",
-                            "connectRN Inc.                                   1.000000  0.738986  0.364090   \n",
-                            "Hammer Nutrition                                 0.571429  0.714286  0.857143   \n",
-                            "National Campus and Community Radio Association  0.047619  0.000000  0.063492   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.     0.101266  0.000000  0.012658   \n",
-                            "Safari Energy                                    0.631579  0.157895  0.552632   \n",
-                            "Starwood Pet Travel                              0.318182  0.000000  0.000000   \n",
-                            "Trax Technology Solutions Pte Ltd                0.267356  0.663220  0.017725   \n",
-                            "Uber London Limited (POOL)                       0.253960  0.277466  0.320899   \n",
-                            "Artsy                                            0.200000  0.150000  0.200000   \n",
-                            "BambooHR                                         0.711572  0.202763  0.000000   \n",
-                            "BrightMove                                       0.000000  0.000000  0.000000   \n",
-                            "Cherokee Enterprises, Inc.                       1.000000  0.000000  1.000000   \n",
-                            "Epiphany Healthcare                              0.393939  0.848485  0.424242   \n",
-                            "H1 Insights, Inc.                                0.525316  0.398734  0.240506   \n",
-                            "Health Current                                   0.000000  0.000000  0.000000   \n",
-                            "Innovaccer Inc.                                  0.000000  0.000000  0.000000   \n",
-                            "Kinetica                                         0.095238  0.238095  0.380952   \n",
-                            "Minga                                            0.000000  0.000000  0.000000   \n",
-                            "Renu Contracting Restoration                     0.192893  0.076142  0.020305   \n",
-                            "Velocity Risk Underwriters, LLC                  0.031250  0.296875  0.078125   \n",
-                            "\n",
-                            "                                                  2022-10   2022-11   2022-12   \n",
-                            "Organization                                                                    \n",
-                            "Aquent                                           0.446429  0.392857  0.428571  \\\n",
-                            "BioLife Solutions, Inc.                          0.000000  0.000000  0.000000   \n",
-                            "ZyXel Communications Inc                         0.000000  0.000000  0.000000   \n",
-                            "BrightLine Eating Solutions LLC                  0.000000  0.000000  0.000000   \n",
-                            "Casio America Inc                                0.000000  0.000000  0.000000   \n",
-                            "Riviera Partners LLC                             0.246753  0.376623  0.272727   \n",
-                            "Viveve                                           0.000000  0.000000  1.000000   \n",
-                            "connectRN Inc.                                   0.147963  0.095594  0.177889   \n",
-                            "Hammer Nutrition                                 0.857143  0.000000  0.000000   \n",
-                            "National Campus and Community Radio Association  0.063492  0.095238  0.079365   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.     0.000000  0.012658  0.012658   \n",
-                            "Safari Energy                                    0.921053  0.263158  0.184211   \n",
-                            "Starwood Pet Travel                              0.000000  0.000000  0.090909   \n",
-                            "Trax Technology Solutions Pte Ltd                0.000000  0.001477  0.001477   \n",
-                            "Uber London Limited (POOL)                       0.258048  0.332141  0.648952   \n",
-                            "Artsy                                            0.000000  0.500000  0.450000   \n",
-                            "BambooHR                                         0.000000  0.000000  0.000000   \n",
-                            "BrightMove                                       0.000000  0.000000  0.000000   \n",
-                            "Cherokee Enterprises, Inc.                       0.500000  1.000000  0.000000   \n",
-                            "Epiphany Healthcare                              0.454545  0.181818  0.393939   \n",
-                            "H1 Insights, Inc.                                0.082278  0.063291  0.088608   \n",
-                            "Health Current                                   0.000000  0.000000  0.000000   \n",
-                            "Innovaccer Inc.                                  0.000000  0.000000  0.000000   \n",
-                            "Kinetica                                         0.238095  0.190476  0.380952   \n",
-                            "Minga                                            0.000000  0.000000  0.000000   \n",
-                            "Renu Contracting Restoration                     0.050761  0.010152  0.015228   \n",
-                            "Velocity Risk Underwriters, LLC                  0.054688  0.117188  0.773438   \n",
-                            "\n",
-                            "                                                  2023-01   2023-02   2023-03   \n",
-                            "Organization                                                                    \n",
-                            "Aquent                                           0.357143  0.107143  0.142857  \\\n",
-                            "BioLife Solutions, Inc.                          0.000000  0.000000  0.000000   \n",
-                            "ZyXel Communications Inc                         0.000000  0.250000  0.250000   \n",
-                            "BrightLine Eating Solutions LLC                  0.000000  0.000000  0.000000   \n",
-                            "Casio America Inc                                0.000000  0.000000  0.000000   \n",
-                            "Riviera Partners LLC                             0.922078  0.870130  0.324675   \n",
-                            "Viveve                                           0.157895  0.000000  0.000000   \n",
-                            "connectRN Inc.                                   0.076475  0.137157  0.000000   \n",
-                            "Hammer Nutrition                                 0.000000  0.000000  0.000000   \n",
-                            "National Campus and Community Radio Association  0.079365  0.031746  0.000000   \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.     0.025316  0.000000  0.000000   \n",
-                            "Safari Energy                                    0.026316  0.000000  0.000000   \n",
-                            "Starwood Pet Travel                              0.000000  0.090909  0.000000   \n",
-                            "Trax Technology Solutions Pte Ltd                0.001477  0.000000  0.000000   \n",
-                            "Uber London Limited (POOL)                       1.000000  0.097087  0.000000   \n",
-                            "Artsy                                            0.000000  0.050000  0.000000   \n",
-                            "BambooHR                                         0.000000  0.000000  0.000000   \n",
-                            "BrightMove                                       0.000000  0.000000  0.000000   \n",
-                            "Cherokee Enterprises, Inc.                       0.500000  0.000000  0.000000   \n",
-                            "Epiphany Healthcare                              0.181818  0.060606  0.000000   \n",
-                            "H1 Insights, Inc.                                0.082278  0.018987  0.000000   \n",
-                            "Health Current                                   0.250000  0.000000  0.000000   \n",
-                            "Innovaccer Inc.                                  0.000000  0.000000  0.000000   \n",
-                            "Kinetica                                         0.095238  0.095238  0.000000   \n",
-                            "Minga                                            0.000000  1.000000  1.000000   \n",
-                            "Renu Contracting Restoration                     0.020305  0.020305  0.000000   \n",
-                            "Velocity Risk Underwriters, LLC                  1.000000  0.085938  0.000000   \n",
-                            "\n",
-                            "                                                 2023-04  \n",
-                            "Organization                                              \n",
-                            "Aquent                                               0.0  \n",
-                            "BioLife Solutions, Inc.                              0.0  \n",
-                            "ZyXel Communications Inc                             0.0  \n",
-                            "BrightLine Eating Solutions LLC                      0.0  \n",
-                            "Casio America Inc                                    0.0  \n",
-                            "Riviera Partners LLC                                 0.0  \n",
-                            "Viveve                                               0.0  \n",
-                            "connectRN Inc.                                       0.0  \n",
-                            "Hammer Nutrition                                     0.0  \n",
-                            "National Campus and Community Radio Association      0.0  \n",
-                            "Portnoy, Messinger, Pearl & Associates, Inc.         0.0  \n",
-                            "Safari Energy                                        0.0  \n",
-                            "Starwood Pet Travel                                  0.0  \n",
-                            "Trax Technology Solutions Pte Ltd                    0.0  \n",
-                            "Uber London Limited (POOL)                           0.0  \n",
-                            "Artsy                                                0.0  \n",
-                            "BambooHR                                             0.0  \n",
-                            "BrightMove                                           0.0  \n",
-                            "Cherokee Enterprises, Inc.                           0.0  \n",
-                            "Epiphany Healthcare                                  0.0  \n",
-                            "H1 Insights, Inc.                                    0.0  \n",
-                            "Health Current                                       0.0  \n",
-                            "Innovaccer Inc.                                      0.0  \n",
-                            "Kinetica                                             0.0  \n",
-                            "Minga                                                0.0  \n",
-                            "Renu Contracting Restoration                         0.0  \n",
-                            "Velocity Risk Underwriters, LLC                      0.0  "
-                        ]
-                    },
-                    "execution_count": 151,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "# Iterate through each row of the original dataframe\n",
-                "count = 0\n",
-                "for index, row in cd.iterrows():\n",
-                "    # Create a list to store the scaled values for each row\n",
-                "    scaled_row = []\n",
-                "\n",
-                "    # Iterate through each column of the row|\n",
-                "    for col in cd.columns:\n",
-                "        count += 1\n",
-                "        # Calculate the min and max values for the row\n",
-                "        min_val = row.min()\n",
-                "        max_val = row.max()\n",
-                "\n",
-                "        # Calculate the scaled value for the column\n",
-                "        if max_val == 0:\n",
-                "            scaled_val = 0\n",
-                "        else:\n",
-                "            scaled_val = (row[col] - min_val) / (max_val - min_val)\n",
-                "\n",
-                "        # Append the scaled value to the list of scaled values for the row\n",
-                "        scaled_row.append(scaled_val)\n",
-                "    scaled_df.loc[count] = scaled_row\n",
-                "\n",
-                "scaled_df.set_index(keys=cd.index, inplace=True)\n",
-                "scaled_df.head(100)\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 246,
-            "id": "5d15b141",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
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#T_2394e_row26_col8, #T_2394e_row26_col9, #T_2394e_row26_col10, #T_2394e_row26_col13, #T_2394e_row26_col14, #T_2394e_row26_col15 {\n",
-                            "  color: red;\n",
-                            "}\n",
-                            "</style>\n",
-                            "<table id=\"T_2394e\">\n",
-                            "  <thead>\n",
-                            "    <tr>\n",
-                            "      <th class=\"blank level0\" >&nbsp;</th>\n",
-                            "      <th id=\"T_2394e_level0_col0\" class=\"col_heading level0 col0\" >2022-01</th>\n",
-                            "      <th id=\"T_2394e_level0_col1\" class=\"col_heading level0 col1\" >2022-02</th>\n",
-                            "      <th id=\"T_2394e_level0_col2\" class=\"col_heading level0 col2\" >2022-03</th>\n",
-                            "      <th id=\"T_2394e_level0_col3\" class=\"col_heading level0 col3\" >2022-04</th>\n",
-                            "      <th id=\"T_2394e_level0_col4\" class=\"col_heading level0 col4\" >2022-05</th>\n",
-                            "      <th id=\"T_2394e_level0_col5\" class=\"col_heading level0 col5\" >2022-06</th>\n",
-                            "      <th id=\"T_2394e_level0_col6\" class=\"col_heading level0 col6\" >2022-07</th>\n",
-                            "      <th id=\"T_2394e_level0_col7\" class=\"col_heading level0 col7\" >2022-08</th>\n",
-                            "      <th id=\"T_2394e_level0_col8\" class=\"col_heading level0 col8\" >2022-09</th>\n",
-                            "      <th id=\"T_2394e_level0_col9\" class=\"col_heading level0 col9\" >2022-10</th>\n",
-                            "      <th id=\"T_2394e_level0_col10\" class=\"col_heading level0 col10\" >2022-11</th>\n",
-                            "      <th id=\"T_2394e_level0_col11\" class=\"col_heading level0 col11\" >2022-12</th>\n",
-                            "      <th id=\"T_2394e_level0_col12\" class=\"col_heading level0 col12\" >2023-01</th>\n",
-                            "      <th id=\"T_2394e_level0_col13\" class=\"col_heading level0 col13\" >2023-02</th>\n",
-                            "      <th id=\"T_2394e_level0_col14\" class=\"col_heading level0 col14\" >2023-03</th>\n",
-                            "      <th id=\"T_2394e_level0_col15\" class=\"col_heading level0 col15\" >2023-04</th>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th class=\"index_name level0\" >Organization</th>\n",
-                            "      <th class=\"blank col0\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col1\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col2\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col3\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col4\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col5\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col6\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col7\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col8\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col9\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col10\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col11\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col12\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col13\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col14\" >&nbsp;</th>\n",
-                            "      <th class=\"blank col15\" >&nbsp;</th>\n",
-                            "    </tr>\n",
-                            "  </thead>\n",
-                            "  <tbody>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row0\" class=\"row_heading level0 row0\" >Aquent</th>\n",
-                            "      <td id=\"T_2394e_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row0_col1\" class=\"data row0 col1\" >0.642857</td>\n",
-                            "      <td id=\"T_2394e_row0_col2\" class=\"data row0 col2\" >0.857143</td>\n",
-                            "      <td id=\"T_2394e_row0_col3\" class=\"data row0 col3\" >0.857143</td>\n",
-                            "      <td id=\"T_2394e_row0_col4\" class=\"data row0 col4\" >0.660714</td>\n",
-                            "      <td id=\"T_2394e_row0_col5\" class=\"data row0 col5\" >0.607143</td>\n",
-                            "      <td id=\"T_2394e_row0_col6\" class=\"data row0 col6\" >0.785714</td>\n",
-                            "      <td id=\"T_2394e_row0_col7\" class=\"data row0 col7\" >0.785714</td>\n",
-                            "      <td id=\"T_2394e_row0_col8\" class=\"data row0 col8\" >0.732143</td>\n",
-                            "      <td id=\"T_2394e_row0_col9\" class=\"data row0 col9\" >0.446429</td>\n",
-                            "      <td id=\"T_2394e_row0_col10\" class=\"data row0 col10\" >0.392857</td>\n",
-                            "      <td id=\"T_2394e_row0_col11\" class=\"data row0 col11\" >0.428571</td>\n",
-                            "      <td id=\"T_2394e_row0_col12\" class=\"data row0 col12\" >0.357143</td>\n",
-                            "      <td id=\"T_2394e_row0_col13\" class=\"data row0 col13\" >0.107143</td>\n",
-                            "      <td id=\"T_2394e_row0_col14\" class=\"data row0 col14\" >0.142857</td>\n",
-                            "      <td id=\"T_2394e_row0_col15\" class=\"data row0 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row1\" class=\"row_heading level0 row1\" >BioLife Solutions, Inc.</th>\n",
-                            "      <td id=\"T_2394e_row1_col0\" class=\"data row1 col0\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col1\" class=\"data row1 col1\" >0.636364</td>\n",
-                            "      <td id=\"T_2394e_row1_col2\" class=\"data row1 col2\" >0.363636</td>\n",
-                            "      <td id=\"T_2394e_row1_col3\" class=\"data row1 col3\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col4\" class=\"data row1 col4\" >0.363636</td>\n",
-                            "      <td id=\"T_2394e_row1_col5\" class=\"data row1 col5\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col6\" class=\"data row1 col6\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col7\" class=\"data row1 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col8\" class=\"data row1 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col9\" class=\"data row1 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col10\" class=\"data row1 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col11\" class=\"data row1 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col12\" class=\"data row1 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col13\" class=\"data row1 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col14\" class=\"data row1 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row1_col15\" class=\"data row1 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row2\" class=\"row_heading level0 row2\" >ZyXel Communications Inc</th>\n",
-                            "      <td id=\"T_2394e_row2_col0\" class=\"data row2 col0\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row2_col1\" class=\"data row2 col1\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row2_col2\" class=\"data row2 col2\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row2_col3\" class=\"data row2 col3\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row2_col4\" class=\"data row2 col4\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row2_col5\" class=\"data row2 col5\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row2_col6\" class=\"data row2 col6\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row2_col7\" class=\"data row2 col7\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row2_col8\" class=\"data row2 col8\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row2_col9\" class=\"data row2 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row2_col10\" class=\"data row2 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row2_col11\" class=\"data row2 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row2_col12\" class=\"data row2 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row2_col13\" class=\"data row2 col13\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row2_col14\" class=\"data row2 col14\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row2_col15\" class=\"data row2 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row3\" class=\"row_heading level0 row3\" >BrightLine Eating Solutions LLC</th>\n",
-                            "      <td id=\"T_2394e_row3_col0\" class=\"data row3 col0\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row3_col1\" class=\"data row3 col1\" >0.761436</td>\n",
-                            "      <td id=\"T_2394e_row3_col2\" class=\"data row3 col2\" >0.701795</td>\n",
-                            "      <td id=\"T_2394e_row3_col3\" class=\"data row3 col3\" >0.789133</td>\n",
-                            "      <td id=\"T_2394e_row3_col4\" class=\"data row3 col4\" >0.817217</td>\n",
-                            "      <td id=\"T_2394e_row3_col5\" class=\"data row3 col5\" >0.726115</td>\n",
-                            "      <td id=\"T_2394e_row3_col6\" class=\"data row3 col6\" >0.821174</td>\n",
-                            "      <td id=\"T_2394e_row3_col7\" class=\"data row3 col7\" >0.544103</td>\n",
-                            "      <td id=\"T_2394e_row3_col8\" class=\"data row3 col8\" >0.056070</td>\n",
-                            "      <td id=\"T_2394e_row3_col9\" class=\"data row3 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row3_col10\" class=\"data row3 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row3_col11\" class=\"data row3 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row3_col12\" class=\"data row3 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row3_col13\" class=\"data row3 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row3_col14\" class=\"data row3 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row3_col15\" class=\"data row3 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row4\" class=\"row_heading level0 row4\" >Casio America Inc</th>\n",
-                            "      <td id=\"T_2394e_row4_col0\" class=\"data row4 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col1\" class=\"data row4 col1\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col2\" class=\"data row4 col2\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col3\" class=\"data row4 col3\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col4\" class=\"data row4 col4\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col5\" class=\"data row4 col5\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col6\" class=\"data row4 col6\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col7\" class=\"data row4 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col8\" class=\"data row4 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col9\" class=\"data row4 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col10\" class=\"data row4 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col11\" class=\"data row4 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col12\" class=\"data row4 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col13\" class=\"data row4 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col14\" class=\"data row4 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row4_col15\" class=\"data row4 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row5\" class=\"row_heading level0 row5\" >Riviera Partners LLC</th>\n",
-                            "      <td id=\"T_2394e_row5_col0\" class=\"data row5 col0\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row5_col1\" class=\"data row5 col1\" >0.194805</td>\n",
-                            "      <td id=\"T_2394e_row5_col2\" class=\"data row5 col2\" >0.610390</td>\n",
-                            "      <td id=\"T_2394e_row5_col3\" class=\"data row5 col3\" >0.285714</td>\n",
-                            "      <td id=\"T_2394e_row5_col4\" class=\"data row5 col4\" >0.285714</td>\n",
-                            "      <td id=\"T_2394e_row5_col5\" class=\"data row5 col5\" >0.363636</td>\n",
-                            "      <td id=\"T_2394e_row5_col6\" class=\"data row5 col6\" >0.974026</td>\n",
-                            "      <td id=\"T_2394e_row5_col7\" class=\"data row5 col7\" >0.831169</td>\n",
-                            "      <td id=\"T_2394e_row5_col8\" class=\"data row5 col8\" >0.402597</td>\n",
-                            "      <td id=\"T_2394e_row5_col9\" class=\"data row5 col9\" >0.246753</td>\n",
-                            "      <td id=\"T_2394e_row5_col10\" class=\"data row5 col10\" >0.376623</td>\n",
-                            "      <td id=\"T_2394e_row5_col11\" class=\"data row5 col11\" >0.272727</td>\n",
-                            "      <td id=\"T_2394e_row5_col12\" class=\"data row5 col12\" >0.922078</td>\n",
-                            "      <td id=\"T_2394e_row5_col13\" class=\"data row5 col13\" >0.870130</td>\n",
-                            "      <td id=\"T_2394e_row5_col14\" class=\"data row5 col14\" >0.324675</td>\n",
-                            "      <td id=\"T_2394e_row5_col15\" class=\"data row5 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row6\" class=\"row_heading level0 row6\" >Viveve</th>\n",
-                            "      <td id=\"T_2394e_row6_col0\" class=\"data row6 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col1\" class=\"data row6 col1\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col2\" class=\"data row6 col2\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col4\" class=\"data row6 col4\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col5\" class=\"data row6 col5\" >0.210526</td>\n",
-                            "      <td id=\"T_2394e_row6_col6\" class=\"data row6 col6\" >0.052632</td>\n",
-                            "      <td id=\"T_2394e_row6_col7\" class=\"data row6 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col8\" class=\"data row6 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col9\" class=\"data row6 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col10\" class=\"data row6 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col11\" class=\"data row6 col11\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col12\" class=\"data row6 col12\" >0.157895</td>\n",
-                            "      <td id=\"T_2394e_row6_col13\" class=\"data row6 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col14\" class=\"data row6 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row6_col15\" class=\"data row6 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row7\" class=\"row_heading level0 row7\" >connectRN Inc.</th>\n",
-                            "      <td id=\"T_2394e_row7_col0\" class=\"data row7 col0\" >0.320865</td>\n",
-                            "      <td id=\"T_2394e_row7_col1\" class=\"data row7 col1\" >0.314214</td>\n",
-                            "      <td id=\"T_2394e_row7_col2\" class=\"data row7 col2\" >0.329177</td>\n",
-                            "      <td id=\"T_2394e_row7_col3\" class=\"data row7 col3\" >0.608479</td>\n",
-                            "      <td id=\"T_2394e_row7_col4\" class=\"data row7 col4\" >0.787199</td>\n",
-                            "      <td id=\"T_2394e_row7_col5\" class=\"data row7 col5\" >0.633416</td>\n",
-                            "      <td id=\"T_2394e_row7_col6\" class=\"data row7 col6\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row7_col7\" class=\"data row7 col7\" >0.738986</td>\n",
-                            "      <td id=\"T_2394e_row7_col8\" class=\"data row7 col8\" >0.364090</td>\n",
-                            "      <td id=\"T_2394e_row7_col9\" class=\"data row7 col9\" >0.147963</td>\n",
-                            "      <td id=\"T_2394e_row7_col10\" class=\"data row7 col10\" >0.095594</td>\n",
-                            "      <td id=\"T_2394e_row7_col11\" class=\"data row7 col11\" >0.177889</td>\n",
-                            "      <td id=\"T_2394e_row7_col12\" class=\"data row7 col12\" >0.076475</td>\n",
-                            "      <td id=\"T_2394e_row7_col13\" class=\"data row7 col13\" >0.137157</td>\n",
-                            "      <td id=\"T_2394e_row7_col14\" class=\"data row7 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row7_col15\" class=\"data row7 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row8\" class=\"row_heading level0 row8\" >Hammer Nutrition</th>\n",
-                            "      <td id=\"T_2394e_row8_col0\" class=\"data row8 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row8_col1\" class=\"data row8 col1\" >0.142857</td>\n",
-                            "      <td id=\"T_2394e_row8_col2\" class=\"data row8 col2\" >0.142857</td>\n",
-                            "      <td id=\"T_2394e_row8_col3\" class=\"data row8 col3\" >0.285714</td>\n",
-                            "      <td id=\"T_2394e_row8_col4\" class=\"data row8 col4\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row8_col5\" class=\"data row8 col5\" >0.714286</td>\n",
-                            "      <td id=\"T_2394e_row8_col6\" class=\"data row8 col6\" >0.571429</td>\n",
-                            "      <td id=\"T_2394e_row8_col7\" class=\"data row8 col7\" >0.714286</td>\n",
-                            "      <td id=\"T_2394e_row8_col8\" class=\"data row8 col8\" >0.857143</td>\n",
-                            "      <td id=\"T_2394e_row8_col9\" class=\"data row8 col9\" >0.857143</td>\n",
-                            "      <td id=\"T_2394e_row8_col10\" class=\"data row8 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row8_col11\" class=\"data row8 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row8_col12\" class=\"data row8 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row8_col13\" class=\"data row8 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row8_col14\" class=\"data row8 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row8_col15\" class=\"data row8 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row9\" class=\"row_heading level0 row9\" >National Campus and Community Radio Association</th>\n",
-                            "      <td id=\"T_2394e_row9_col0\" class=\"data row9 col0\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row9_col1\" class=\"data row9 col1\" >0.238095</td>\n",
-                            "      <td id=\"T_2394e_row9_col2\" class=\"data row9 col2\" >0.158730</td>\n",
-                            "      <td id=\"T_2394e_row9_col3\" class=\"data row9 col3\" >0.063492</td>\n",
-                            "      <td id=\"T_2394e_row9_col4\" class=\"data row9 col4\" >0.126984</td>\n",
-                            "      <td id=\"T_2394e_row9_col5\" class=\"data row9 col5\" >0.031746</td>\n",
-                            "      <td id=\"T_2394e_row9_col6\" class=\"data row9 col6\" >0.047619</td>\n",
-                            "      <td id=\"T_2394e_row9_col7\" class=\"data row9 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row9_col8\" class=\"data row9 col8\" >0.063492</td>\n",
-                            "      <td id=\"T_2394e_row9_col9\" class=\"data row9 col9\" >0.063492</td>\n",
-                            "      <td id=\"T_2394e_row9_col10\" class=\"data row9 col10\" >0.095238</td>\n",
-                            "      <td id=\"T_2394e_row9_col11\" class=\"data row9 col11\" >0.079365</td>\n",
-                            "      <td id=\"T_2394e_row9_col12\" class=\"data row9 col12\" >0.079365</td>\n",
-                            "      <td id=\"T_2394e_row9_col13\" class=\"data row9 col13\" >0.031746</td>\n",
-                            "      <td id=\"T_2394e_row9_col14\" class=\"data row9 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row9_col15\" class=\"data row9 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row10\" class=\"row_heading level0 row10\" >Portnoy, Messinger, Pearl & Associates, Inc.</th>\n",
-                            "      <td id=\"T_2394e_row10_col0\" class=\"data row10 col0\" >0.354430</td>\n",
-                            "      <td id=\"T_2394e_row10_col1\" class=\"data row10 col1\" >0.341772</td>\n",
-                            "      <td id=\"T_2394e_row10_col2\" class=\"data row10 col2\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row10_col3\" class=\"data row10 col3\" >0.215190</td>\n",
-                            "      <td id=\"T_2394e_row10_col4\" class=\"data row10 col4\" >0.012658</td>\n",
-                            "      <td id=\"T_2394e_row10_col5\" class=\"data row10 col5\" >0.037975</td>\n",
-                            "      <td id=\"T_2394e_row10_col6\" class=\"data row10 col6\" >0.101266</td>\n",
-                            "      <td id=\"T_2394e_row10_col7\" class=\"data row10 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row10_col8\" class=\"data row10 col8\" >0.012658</td>\n",
-                            "      <td id=\"T_2394e_row10_col9\" class=\"data row10 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row10_col10\" class=\"data row10 col10\" >0.012658</td>\n",
-                            "      <td id=\"T_2394e_row10_col11\" class=\"data row10 col11\" >0.012658</td>\n",
-                            "      <td id=\"T_2394e_row10_col12\" class=\"data row10 col12\" >0.025316</td>\n",
-                            "      <td id=\"T_2394e_row10_col13\" class=\"data row10 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row10_col14\" class=\"data row10 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row10_col15\" class=\"data row10 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row11\" class=\"row_heading level0 row11\" >Safari Energy</th>\n",
-                            "      <td id=\"T_2394e_row11_col0\" class=\"data row11 col0\" >0.052632</td>\n",
-                            "      <td id=\"T_2394e_row11_col1\" class=\"data row11 col1\" >0.973684</td>\n",
-                            "      <td id=\"T_2394e_row11_col2\" class=\"data row11 col2\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row11_col3\" class=\"data row11 col3\" >0.052632</td>\n",
-                            "      <td id=\"T_2394e_row11_col4\" class=\"data row11 col4\" >0.026316</td>\n",
-                            "      <td id=\"T_2394e_row11_col5\" class=\"data row11 col5\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row11_col6\" class=\"data row11 col6\" >0.631579</td>\n",
-                            "      <td id=\"T_2394e_row11_col7\" class=\"data row11 col7\" >0.157895</td>\n",
-                            "      <td id=\"T_2394e_row11_col8\" class=\"data row11 col8\" >0.552632</td>\n",
-                            "      <td id=\"T_2394e_row11_col9\" class=\"data row11 col9\" >0.921053</td>\n",
-                            "      <td id=\"T_2394e_row11_col10\" class=\"data row11 col10\" >0.263158</td>\n",
-                            "      <td id=\"T_2394e_row11_col11\" class=\"data row11 col11\" >0.184211</td>\n",
-                            "      <td id=\"T_2394e_row11_col12\" class=\"data row11 col12\" >0.026316</td>\n",
-                            "      <td id=\"T_2394e_row11_col13\" class=\"data row11 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row11_col14\" class=\"data row11 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row11_col15\" class=\"data row11 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row12\" class=\"row_heading level0 row12\" >Starwood Pet Travel</th>\n",
-                            "      <td id=\"T_2394e_row12_col0\" class=\"data row12 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col1\" class=\"data row12 col1\" >0.045455</td>\n",
-                            "      <td id=\"T_2394e_row12_col2\" class=\"data row12 col2\" >0.181818</td>\n",
-                            "      <td id=\"T_2394e_row12_col3\" class=\"data row12 col3\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col4\" class=\"data row12 col4\" >0.090909</td>\n",
-                            "      <td id=\"T_2394e_row12_col5\" class=\"data row12 col5\" >0.045455</td>\n",
-                            "      <td id=\"T_2394e_row12_col6\" class=\"data row12 col6\" >0.318182</td>\n",
-                            "      <td id=\"T_2394e_row12_col7\" class=\"data row12 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col8\" class=\"data row12 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col9\" class=\"data row12 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col10\" class=\"data row12 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col11\" class=\"data row12 col11\" >0.090909</td>\n",
-                            "      <td id=\"T_2394e_row12_col12\" class=\"data row12 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col13\" class=\"data row12 col13\" >0.090909</td>\n",
-                            "      <td id=\"T_2394e_row12_col14\" class=\"data row12 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row12_col15\" class=\"data row12 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row13\" class=\"row_heading level0 row13\" >Trax Technology Solutions Pte Ltd</th>\n",
-                            "      <td id=\"T_2394e_row13_col0\" class=\"data row13 col0\" >0.562777</td>\n",
-                            "      <td id=\"T_2394e_row13_col1\" class=\"data row13 col1\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row13_col2\" class=\"data row13 col2\" >0.861152</td>\n",
-                            "      <td id=\"T_2394e_row13_col3\" class=\"data row13 col3\" >0.991137</td>\n",
-                            "      <td id=\"T_2394e_row13_col4\" class=\"data row13 col4\" >0.760709</td>\n",
-                            "      <td id=\"T_2394e_row13_col5\" class=\"data row13 col5\" >0.561300</td>\n",
-                            "      <td id=\"T_2394e_row13_col6\" class=\"data row13 col6\" >0.267356</td>\n",
-                            "      <td id=\"T_2394e_row13_col7\" class=\"data row13 col7\" >0.663220</td>\n",
-                            "      <td id=\"T_2394e_row13_col8\" class=\"data row13 col8\" >0.017725</td>\n",
-                            "      <td id=\"T_2394e_row13_col9\" class=\"data row13 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row13_col10\" class=\"data row13 col10\" >0.001477</td>\n",
-                            "      <td id=\"T_2394e_row13_col11\" class=\"data row13 col11\" >0.001477</td>\n",
-                            "      <td id=\"T_2394e_row13_col12\" class=\"data row13 col12\" >0.001477</td>\n",
-                            "      <td id=\"T_2394e_row13_col13\" class=\"data row13 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row13_col14\" class=\"data row13 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row13_col15\" class=\"data row13 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row14\" class=\"row_heading level0 row14\" >Uber London Limited (POOL)</th>\n",
-                            "      <td id=\"T_2394e_row14_col0\" class=\"data row14 col0\" >0.368421</td>\n",
-                            "      <td id=\"T_2394e_row14_col1\" class=\"data row14 col1\" >0.396014</td>\n",
-                            "      <td id=\"T_2394e_row14_col2\" class=\"data row14 col2\" >0.421564</td>\n",
-                            "      <td id=\"T_2394e_row14_col3\" class=\"data row14 col3\" >0.309658</td>\n",
-                            "      <td id=\"T_2394e_row14_col4\" class=\"data row14 col4\" >0.295350</td>\n",
-                            "      <td id=\"T_2394e_row14_col5\" class=\"data row14 col5\" >0.256004</td>\n",
-                            "      <td id=\"T_2394e_row14_col6\" class=\"data row14 col6\" >0.253960</td>\n",
-                            "      <td id=\"T_2394e_row14_col7\" class=\"data row14 col7\" >0.277466</td>\n",
-                            "      <td id=\"T_2394e_row14_col8\" class=\"data row14 col8\" >0.320899</td>\n",
-                            "      <td id=\"T_2394e_row14_col9\" class=\"data row14 col9\" >0.258048</td>\n",
-                            "      <td id=\"T_2394e_row14_col10\" class=\"data row14 col10\" >0.332141</td>\n",
-                            "      <td id=\"T_2394e_row14_col11\" class=\"data row14 col11\" >0.648952</td>\n",
-                            "      <td id=\"T_2394e_row14_col12\" class=\"data row14 col12\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row14_col13\" class=\"data row14 col13\" >0.097087</td>\n",
-                            "      <td id=\"T_2394e_row14_col14\" class=\"data row14 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row14_col15\" class=\"data row14 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row15\" class=\"row_heading level0 row15\" >Artsy</th>\n",
-                            "      <td id=\"T_2394e_row15_col0\" class=\"data row15 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row15_col1\" class=\"data row15 col1\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row15_col2\" class=\"data row15 col2\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row15_col3\" class=\"data row15 col3\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row15_col4\" class=\"data row15 col4\" >0.400000</td>\n",
-                            "      <td id=\"T_2394e_row15_col5\" class=\"data row15 col5\" >0.350000</td>\n",
-                            "      <td id=\"T_2394e_row15_col6\" class=\"data row15 col6\" >0.200000</td>\n",
-                            "      <td id=\"T_2394e_row15_col7\" class=\"data row15 col7\" >0.150000</td>\n",
-                            "      <td id=\"T_2394e_row15_col8\" class=\"data row15 col8\" >0.200000</td>\n",
-                            "      <td id=\"T_2394e_row15_col9\" class=\"data row15 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row15_col10\" class=\"data row15 col10\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row15_col11\" class=\"data row15 col11\" >0.450000</td>\n",
-                            "      <td id=\"T_2394e_row15_col12\" class=\"data row15 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row15_col13\" class=\"data row15 col13\" >0.050000</td>\n",
-                            "      <td id=\"T_2394e_row15_col14\" class=\"data row15 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row15_col15\" class=\"data row15 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row16\" class=\"row_heading level0 row16\" >BambooHR</th>\n",
-                            "      <td id=\"T_2394e_row16_col0\" class=\"data row16 col0\" >0.955440</td>\n",
-                            "      <td id=\"T_2394e_row16_col1\" class=\"data row16 col1\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col2\" class=\"data row16 col2\" >0.909499</td>\n",
-                            "      <td id=\"T_2394e_row16_col3\" class=\"data row16 col3\" >0.821416</td>\n",
-                            "      <td id=\"T_2394e_row16_col4\" class=\"data row16 col4\" >0.781693</td>\n",
-                            "      <td id=\"T_2394e_row16_col5\" class=\"data row16 col5\" >0.740242</td>\n",
-                            "      <td id=\"T_2394e_row16_col6\" class=\"data row16 col6\" >0.711572</td>\n",
-                            "      <td id=\"T_2394e_row16_col7\" class=\"data row16 col7\" >0.202763</td>\n",
-                            "      <td id=\"T_2394e_row16_col8\" class=\"data row16 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col9\" class=\"data row16 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col10\" class=\"data row16 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col11\" class=\"data row16 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col12\" class=\"data row16 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col13\" class=\"data row16 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col14\" class=\"data row16 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row16_col15\" class=\"data row16 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row17\" class=\"row_heading level0 row17\" >BrightMove</th>\n",
-                            "      <td id=\"T_2394e_row17_col0\" class=\"data row17 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col1\" class=\"data row17 col1\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col2\" class=\"data row17 col2\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col3\" class=\"data row17 col3\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col4\" class=\"data row17 col4\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col5\" class=\"data row17 col5\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col6\" class=\"data row17 col6\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col7\" class=\"data row17 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col8\" class=\"data row17 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col9\" class=\"data row17 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col10\" class=\"data row17 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col11\" class=\"data row17 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col12\" class=\"data row17 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col13\" class=\"data row17 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col14\" class=\"data row17 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row17_col15\" class=\"data row17 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row18\" class=\"row_heading level0 row18\" >Cherokee Enterprises, Inc.</th>\n",
-                            "      <td id=\"T_2394e_row18_col0\" class=\"data row18 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col1\" class=\"data row18 col1\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row18_col2\" class=\"data row18 col2\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col3\" class=\"data row18 col3\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col4\" class=\"data row18 col4\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col5\" class=\"data row18 col5\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row18_col6\" class=\"data row18 col6\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col7\" class=\"data row18 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col8\" class=\"data row18 col8\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col9\" class=\"data row18 col9\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row18_col10\" class=\"data row18 col10\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col11\" class=\"data row18 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col12\" class=\"data row18 col12\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row18_col13\" class=\"data row18 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col14\" class=\"data row18 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row18_col15\" class=\"data row18 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row19\" class=\"row_heading level0 row19\" >Epiphany Healthcare</th>\n",
-                            "      <td id=\"T_2394e_row19_col0\" class=\"data row19 col0\" >0.272727</td>\n",
-                            "      <td id=\"T_2394e_row19_col1\" class=\"data row19 col1\" >0.545455</td>\n",
-                            "      <td id=\"T_2394e_row19_col2\" class=\"data row19 col2\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row19_col3\" class=\"data row19 col3\" >0.242424</td>\n",
-                            "      <td id=\"T_2394e_row19_col4\" class=\"data row19 col4\" >0.242424</td>\n",
-                            "      <td id=\"T_2394e_row19_col5\" class=\"data row19 col5\" >0.151515</td>\n",
-                            "      <td id=\"T_2394e_row19_col6\" class=\"data row19 col6\" >0.393939</td>\n",
-                            "      <td id=\"T_2394e_row19_col7\" class=\"data row19 col7\" >0.848485</td>\n",
-                            "      <td id=\"T_2394e_row19_col8\" class=\"data row19 col8\" >0.424242</td>\n",
-                            "      <td id=\"T_2394e_row19_col9\" class=\"data row19 col9\" >0.454545</td>\n",
-                            "      <td id=\"T_2394e_row19_col10\" class=\"data row19 col10\" >0.181818</td>\n",
-                            "      <td id=\"T_2394e_row19_col11\" class=\"data row19 col11\" >0.393939</td>\n",
-                            "      <td id=\"T_2394e_row19_col12\" class=\"data row19 col12\" >0.181818</td>\n",
-                            "      <td id=\"T_2394e_row19_col13\" class=\"data row19 col13\" >0.060606</td>\n",
-                            "      <td id=\"T_2394e_row19_col14\" class=\"data row19 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row19_col15\" class=\"data row19 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row20\" class=\"row_heading level0 row20\" >H1 Insights, Inc.</th>\n",
-                            "      <td id=\"T_2394e_row20_col0\" class=\"data row20 col0\" >0.797468</td>\n",
-                            "      <td id=\"T_2394e_row20_col1\" class=\"data row20 col1\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row20_col2\" class=\"data row20 col2\" >0.860759</td>\n",
-                            "      <td id=\"T_2394e_row20_col3\" class=\"data row20 col3\" >0.405063</td>\n",
-                            "      <td id=\"T_2394e_row20_col4\" class=\"data row20 col4\" >0.474684</td>\n",
-                            "      <td id=\"T_2394e_row20_col5\" class=\"data row20 col5\" >0.607595</td>\n",
-                            "      <td id=\"T_2394e_row20_col6\" class=\"data row20 col6\" >0.525316</td>\n",
-                            "      <td id=\"T_2394e_row20_col7\" class=\"data row20 col7\" >0.398734</td>\n",
-                            "      <td id=\"T_2394e_row20_col8\" class=\"data row20 col8\" >0.240506</td>\n",
-                            "      <td id=\"T_2394e_row20_col9\" class=\"data row20 col9\" >0.082278</td>\n",
-                            "      <td id=\"T_2394e_row20_col10\" class=\"data row20 col10\" >0.063291</td>\n",
-                            "      <td id=\"T_2394e_row20_col11\" class=\"data row20 col11\" >0.088608</td>\n",
-                            "      <td id=\"T_2394e_row20_col12\" class=\"data row20 col12\" >0.082278</td>\n",
-                            "      <td id=\"T_2394e_row20_col13\" class=\"data row20 col13\" >0.018987</td>\n",
-                            "      <td id=\"T_2394e_row20_col14\" class=\"data row20 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row20_col15\" class=\"data row20 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row21\" class=\"row_heading level0 row21\" >Health Current</th>\n",
-                            "      <td id=\"T_2394e_row21_col0\" class=\"data row21 col0\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col1\" class=\"data row21 col1\" >0.500000</td>\n",
-                            "      <td id=\"T_2394e_row21_col2\" class=\"data row21 col2\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row21_col3\" class=\"data row21 col3\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col4\" class=\"data row21 col4\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col5\" class=\"data row21 col5\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col6\" class=\"data row21 col6\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col7\" class=\"data row21 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col8\" class=\"data row21 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col9\" class=\"data row21 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col10\" class=\"data row21 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col11\" class=\"data row21 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col12\" class=\"data row21 col12\" >0.250000</td>\n",
-                            "      <td id=\"T_2394e_row21_col13\" class=\"data row21 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col14\" class=\"data row21 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row21_col15\" class=\"data row21 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row22\" class=\"row_heading level0 row22\" >Innovaccer Inc.</th>\n",
-                            "      <td id=\"T_2394e_row22_col0\" class=\"data row22 col0\" >0.952830</td>\n",
-                            "      <td id=\"T_2394e_row22_col1\" class=\"data row22 col1\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col2\" class=\"data row22 col2\" >0.787736</td>\n",
-                            "      <td id=\"T_2394e_row22_col3\" class=\"data row22 col3\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col4\" class=\"data row22 col4\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col5\" class=\"data row22 col5\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col6\" class=\"data row22 col6\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col7\" class=\"data row22 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col8\" class=\"data row22 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col9\" class=\"data row22 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col10\" class=\"data row22 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col11\" class=\"data row22 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col12\" class=\"data row22 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col13\" class=\"data row22 col13\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col14\" class=\"data row22 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row22_col15\" class=\"data row22 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row23\" class=\"row_heading level0 row23\" >Kinetica</th>\n",
-                            "      <td id=\"T_2394e_row23_col0\" class=\"data row23 col0\" >0.619048</td>\n",
-                            "      <td id=\"T_2394e_row23_col1\" class=\"data row23 col1\" >0.476190</td>\n",
-                            "      <td id=\"T_2394e_row23_col2\" class=\"data row23 col2\" >0.285714</td>\n",
-                            "      <td id=\"T_2394e_row23_col3\" class=\"data row23 col3\" >0.142857</td>\n",
-                            "      <td id=\"T_2394e_row23_col4\" class=\"data row23 col4\" >0.333333</td>\n",
-                            "      <td id=\"T_2394e_row23_col5\" class=\"data row23 col5\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row23_col6\" class=\"data row23 col6\" >0.095238</td>\n",
-                            "      <td id=\"T_2394e_row23_col7\" class=\"data row23 col7\" >0.238095</td>\n",
-                            "      <td id=\"T_2394e_row23_col8\" class=\"data row23 col8\" >0.380952</td>\n",
-                            "      <td id=\"T_2394e_row23_col9\" class=\"data row23 col9\" >0.238095</td>\n",
-                            "      <td id=\"T_2394e_row23_col10\" class=\"data row23 col10\" >0.190476</td>\n",
-                            "      <td id=\"T_2394e_row23_col11\" class=\"data row23 col11\" >0.380952</td>\n",
-                            "      <td id=\"T_2394e_row23_col12\" class=\"data row23 col12\" >0.095238</td>\n",
-                            "      <td id=\"T_2394e_row23_col13\" class=\"data row23 col13\" >0.095238</td>\n",
-                            "      <td id=\"T_2394e_row23_col14\" class=\"data row23 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row23_col15\" class=\"data row23 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row24\" class=\"row_heading level0 row24\" >Minga</th>\n",
-                            "      <td id=\"T_2394e_row24_col0\" class=\"data row24 col0\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col1\" class=\"data row24 col1\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col2\" class=\"data row24 col2\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col3\" class=\"data row24 col3\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col4\" class=\"data row24 col4\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col5\" class=\"data row24 col5\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col6\" class=\"data row24 col6\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col7\" class=\"data row24 col7\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col8\" class=\"data row24 col8\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col9\" class=\"data row24 col9\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col10\" class=\"data row24 col10\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col11\" class=\"data row24 col11\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col12\" class=\"data row24 col12\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col13\" class=\"data row24 col13\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col14\" class=\"data row24 col14\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row24_col15\" class=\"data row24 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row25\" class=\"row_heading level0 row25\" >Renu Contracting Restoration</th>\n",
-                            "      <td id=\"T_2394e_row25_col0\" class=\"data row25 col0\" >0.101523</td>\n",
-                            "      <td id=\"T_2394e_row25_col1\" class=\"data row25 col1\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row25_col2\" class=\"data row25 col2\" >0.121827</td>\n",
-                            "      <td id=\"T_2394e_row25_col3\" class=\"data row25 col3\" >0.045685</td>\n",
-                            "      <td id=\"T_2394e_row25_col4\" class=\"data row25 col4\" >0.116751</td>\n",
-                            "      <td id=\"T_2394e_row25_col5\" class=\"data row25 col5\" >0.106599</td>\n",
-                            "      <td id=\"T_2394e_row25_col6\" class=\"data row25 col6\" >0.192893</td>\n",
-                            "      <td id=\"T_2394e_row25_col7\" class=\"data row25 col7\" >0.076142</td>\n",
-                            "      <td id=\"T_2394e_row25_col8\" class=\"data row25 col8\" >0.020305</td>\n",
-                            "      <td id=\"T_2394e_row25_col9\" class=\"data row25 col9\" >0.050761</td>\n",
-                            "      <td id=\"T_2394e_row25_col10\" class=\"data row25 col10\" >0.010152</td>\n",
-                            "      <td id=\"T_2394e_row25_col11\" class=\"data row25 col11\" >0.015228</td>\n",
-                            "      <td id=\"T_2394e_row25_col12\" class=\"data row25 col12\" >0.020305</td>\n",
-                            "      <td id=\"T_2394e_row25_col13\" class=\"data row25 col13\" >0.020305</td>\n",
-                            "      <td id=\"T_2394e_row25_col14\" class=\"data row25 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row25_col15\" class=\"data row25 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "    <tr>\n",
-                            "      <th id=\"T_2394e_level0_row26\" class=\"row_heading level0 row26\" >Velocity Risk Underwriters, LLC</th>\n",
-                            "      <td id=\"T_2394e_row26_col0\" class=\"data row26 col0\" >0.226562</td>\n",
-                            "      <td id=\"T_2394e_row26_col1\" class=\"data row26 col1\" >0.039062</td>\n",
-                            "      <td id=\"T_2394e_row26_col2\" class=\"data row26 col2\" >0.054688</td>\n",
-                            "      <td id=\"T_2394e_row26_col3\" class=\"data row26 col3\" >0.070312</td>\n",
-                            "      <td id=\"T_2394e_row26_col4\" class=\"data row26 col4\" >0.093750</td>\n",
-                            "      <td id=\"T_2394e_row26_col5\" class=\"data row26 col5\" >0.156250</td>\n",
-                            "      <td id=\"T_2394e_row26_col6\" class=\"data row26 col6\" >0.031250</td>\n",
-                            "      <td id=\"T_2394e_row26_col7\" class=\"data row26 col7\" >0.296875</td>\n",
-                            "      <td id=\"T_2394e_row26_col8\" class=\"data row26 col8\" >0.078125</td>\n",
-                            "      <td id=\"T_2394e_row26_col9\" class=\"data row26 col9\" >0.054688</td>\n",
-                            "      <td id=\"T_2394e_row26_col10\" class=\"data row26 col10\" >0.117188</td>\n",
-                            "      <td id=\"T_2394e_row26_col11\" class=\"data row26 col11\" >0.773438</td>\n",
-                            "      <td id=\"T_2394e_row26_col12\" class=\"data row26 col12\" >1.000000</td>\n",
-                            "      <td id=\"T_2394e_row26_col13\" class=\"data row26 col13\" >0.085938</td>\n",
-                            "      <td id=\"T_2394e_row26_col14\" class=\"data row26 col14\" >0.000000</td>\n",
-                            "      <td id=\"T_2394e_row26_col15\" class=\"data row26 col15\" >0.000000</td>\n",
-                            "    </tr>\n",
-                            "  </tbody>\n",
-                            "</table>\n"
-                        ],
-                        "text/plain": [
-                            "<pandas.io.formats.style.Styler at 0x28dd3f2d0>"
-                        ]
-                    },
-                    "execution_count": 246,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                }
-            ],
-            "source": [
-                "def color_negative_red(val):\n",
-                "    color = 'red' if val < .5 else 'green'\n",
-                "    return 'color: %s' % color\n",
-                "\n",
-                "s = scaled_df.style.applymap(color_negative_red)\n",
-                "s"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "id": "0a3fe628",
-            "metadata": {},
-            "source": [
-                "# Clients who churned on 2023-03"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 252,
-            "id": "996ef871",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 1500x700 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "axes = scaled_df.T.plot(rot=0, figsize=(15,7), y=['BrightLine Eating Solutions LLC', 'Casio America Inc', 'Riviera Partners LLC', 'Viveve'])\n",
-                "# axes.legend(loc=2)"
-            ]
-        },
-        {
-            "attachments": {},
-            "cell_type": "markdown",
-            "id": "8ec58c5f",
-            "metadata": {},
-            "source": [
-                "# Clients who churned on 2023-02"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 254,
-            "id": "41a333d5",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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FhcP3HR34EgShe2tx4KusrIzk5GSSk5MByMjIIDk5mePHjwNKmeJtt91m3/5vf/sbR48e5ZFHHuHQoUO8//77fPPNNzz00EPt8xN0UXH+cYDo82VTWVPmqB8YgCRJSCoJv+ui8LioJ8hQuCKNsq3nZ1lSZfJeh++NotwRgOqsMgaZL6anIYJ+XoNQHxNlw3an9yj/hl4El/xd+f/vIusLoChHeSEdc4HSvD0l6fx8XKnt6+1KtuS1Q/tgcNPw2NVKOf5nSRmcKhIZpoIgCELnslgs9l7QXl5egAh8CYLQNi0OfO3cuZMhQ4YwZMgQAP7+978zZMgQnn76aQCysrLsQTCAiIgIfvzxR9atW0diYiLz58/nk08+Ydy4ce30I3RNMf4xgAh8AchmK5UHlUb2+oRA++WSSsJ3Sn88L+4NQNF/0in97fzL6rFlfLlHKVmCVYdSnbkcl1CVWUzOB3sxqL2otijBnFBjFJayaievzEWcTlb+7TUYhtwK3n2gNAt2LXHiopzPWG7CWKaU710wOQKVWiLnWCm5J0qdvDLnySk1suGQUk4+fYQySOaKuB5cGOFPtdnK/LXi8UYQBEHoXLagl1artbfGMZvNyLZmlIIgCC3U4sDX2LFjkWW5zteSJUsAWLJkCZs2bapzmz179lBVVUV6ejqzZs1qh6V3bWKy41nGI0XIVRZUXm64hTn2c5MkCZ+JEXhdprwhK16TQcmG4/XtplsyFxZSnZkJgO8NNwBgTD2/34hWHswn95MDUGUlz3iK343fU1iVjZvkTsFqUQZKVenZxvY9B4PGHS59WPn+97fAdP5m8BTnKD+7h48b3oF6+g1W+lmlJGU5c1lO9d2uk1isMkPDfIkOVj5VlySJJyYqWcmrkk9x4JSYfikIgiB0jtpN7Q0GA2q12n6dxWJx1rIEQejiXHKq4/kg2i8aCYmcihwKjAXOXo5TOZQ5qqQ610uShM+4cLyv6gtAybpjFK/NPC8+9THu3w+AW9++GC68CICq1NTz4mevT/mObPK/OAhmK5U+lWzK/poecZHsNyZhla1U7SvAeKTQ2ct0ruz9gAxevcArWLls8AzwCYWy7PM668tW5ugbbAAgfnQvAA5vz8Zcff69mJZlmeU7lDLHGy8Ic7huUB9f/i+xF7IML/+Uct4+5giCIAidq6qqCovFgiRJ6PV6JElCo9EAotxREITWE4EvJ/HQehDmrbzROJ+zvmSzlco/lTJHQ0JQo9t6XxGGz4QIAEo3nqD4x4xu/2bM1t9LPzgR934RSFot1rIyTKfOr2mgsixT8r/jFK5IAxkMw4I55LYbi2wmMLQv6mAdR0p2A1C06giy6Tzu92Xr79VryNnLNG5wicj6sk109KkJfPWJ9cPLX0dVhZn0PbnOXJpTbD2az7H8CjzdNUwa1LPO9f8YF4ObWkXSkXw2HT7/7h9BEASh89ma2hsMBlQq5a2qLfBlMolpw4IgtI4IfDlRjJ/S5yu14PwtXas6WoxsNKPy1OIW7t3k9l6X9sH3//oDUPb7KYr+k45s7b7BL1t/L11iIpJWi1ukrc/X+RMsla0yRavTKfnlGABeY0Pxuz6K3JOZAASGhePfuw/7Czdj1pox5xsp2Xj+lMPWUbu/V22DbwGfMCg7Azs/6+xVuQR7xleQEviSVBJxo5WAz/nY5N6W7fV/g3thcNPUuT7U38DMUUqm7StrDmHpxo+1giAIgvOZzWaMRqV3q8FgsF+u1Wrt1wuCILSGCHw5kejzBRX7lCwC/cDAessc6+M5qhd+10aBBOV/ZFG4Mq1bBr9kq5XKffsA0CcmAqCLUYKlxvOkwb1stlLw1SHKt2aBBD6T++FzdThmUzVFWUqgIjAsHP9eoZjlao7plPul9NeTmHIqGtt191VfxhcoWV+XzlP+//vbUH3+3T+2jC/fYL39stiRPZEkOHW4yH79+aCoopqfDmQDcGNNU/v63HtZFD56LalnSvlu14nOWp4gCILQBEmS+P777x0uW7JkiTIdXZJQqVT07NmT6dOnOwweA6X/siRJfP311w6Xv/3224SHh7f4uO3Flu3l5uZmD3YBotRREIQ2E4EvJzrfA1+yxYrRNs1xoDLNsehMBYXZ5U3e1uOCEPymxYAEFTvPUPBNKrKlewW/qjMysJaWIul06KKjAXCPVQJfVand/5yxGs3kfXZA6QGnlvC/MRav0cqEz4JTJ5FlKzovbzx8/Qjo3QeAo/l70cX5g0WmcFVaty+FrcNYAvlHlP/3HFz3+sE3g29fKM+BnZ926tKcTZZlimqa29t6fAF4+esIjQ8AIGXL+dPkftWeU1SbrcT19Caht0+D2/kYtNx3uZJpOv+Xw1RUizcdgiAIrszb25usrCxOnTrFihUrSE1N5YaaAUm16XQ6nnzySZcpH5Rl2aHMsbbaga/z7rWdIAjtQgS+nMgW+MosyaTSfP713Kk6Woy1wozKQ4N7hA8Wk5UVr+/i21d2Yixv+knYY0gP/G+KBZVEZXIuBV+mIJu7T2+nyr1Ktpdu4ACkmk+9dLHKOWNMPey0dXUGS2k1uR/uo+poMZKbmsBZAzAknu0Bl3c8E4Cg0L5IkoR/byVjpSj7NF4TwpG0KqozSqjYdcYZy3ee7H2ADN59wLOennlqLVz6D+X/SQuguukgc3dRUVKNucqCJIF3oN7huviLlXLHQ1uzsFq6z2NIQ2RZ5uvtSvbWTReEIkmNZ9veOrIvof56ckqr+GRzRmcsURAEocNYrVZee+01IiMjcXd3JywsjBdffNF+/f79+7n88svR6/UEBARw1113UVZWZr9+1qxZXHPNNbzxxhv07NmTgIAA7rnnHocAUnh4OC+99BKzZ8/Gy8uLsLAwPvroI4d1nDhxgmnTpuHr64u/vz9Tpkwhs2aSt81nn33GgAEDcHd3p2fPntx77732/QNMnToVSZIcsrQkSSIkJISePXsyatQobr/9drZv305JSYnDvm+66SaKior4+OOPW31fZmZmIkkSK1eu5LLLLsNgMJCYmMjWrVsdtktKSmLs2LEYDAb8/PwYN24chYWOw4iMRiNWqxWVSoVe7/g8bQt8ybKM1dr9n6cFQWh/IvDlRIH6QPx1/lhlK0cKjzh7OZ2u8kDNNMcBgUhqiaLcCoxlJkxGC8cO5DdrH4ZBQQTMiAO1ROWf+eT/O6XbNDa39feylTkCuNeUOpqOH8dS1j2DFqa8SnIW7cWUVY7KU0vQnEHoovwctsk7ofT7CgwLB8ArIBCNuztWi4VyU6F9AmjxmgwsZdWdun6nspc5Dm54m8QbwS8cynNhx/mT9WUrY/QK1KPWOD71hScEovfSUlFS3ezHnq4s+UQRqWdKcdeomJLYu8nt3TVq/jFOCbp/+Gs6uaVVHb1EQRC6IFmWqag2O+WrJVlAjz/+OK+88gpPPfUUBw8e5MsvvyQ4WJmCXF5ezrhx4/Dz82PHjh18++23rF+/3h5wstm4cSPp6els3LiRpUuXsmTJEpYsWeKwzfz58xk+fDh79uxh7ty53H333aSmKi0ZTCYT48aNw8vLi82bN5OUlISnpydXX3011dXK65ZFixZxzz33cNddd7F//35Wr15NZE2v1x07dgCwePFisrKy7N+fKycnh1WrVqFWq1Gr1Q7XeXt788QTT/Dcc89RXt6215RPPPEE8+bNIzk5mejoaG666SZ7WWJycjJXXHEF8fHxbN26ld9//53JkydjsThOU7atwWAw1PlARpIk+/pFuaMgCK1Rt5ut0GkkSSLOP46k00mkFKSQEJTg7CV1GtkqU1nzBlOfUFPmmH22v07mvjxiLgxp1r708QEEzhxA3ucHMR4qIO/zPwm4NR6Vm7rpG7uw+gJfGj8/ND16YM7JoerwYQxDhzR08y6p+mQpeYv/xFpuQu2vI+j2gWgC9HW2s2V8BYYpAS5JpcK/Zx9yMtMpOHWS/qMvpGJPDqascorXZOA/LaYzfwznaaixfW22rK//3KNkfY24Hdw8OmN1TmXv79Wj7vmk1qiIvagne9Yd52BSFhGJjU+Y7epsTe0nJvTEx6BtYmvF5EE9+XTzUfaeLObt9Yd5cer583wlCELzVJosxD+91inHPvjcuHqHdJyrtLSUBQsWsHDhQmbOnAlA//79ufjiiwH48ssvMRqNfP7553h4KM+NCxcuZPLkybz66qv2AJmfnx8LFy5ErVYTGxvLxIkT2bBhA3feeaf9WBMmTGDu3LkAPProo7z11lts3LiRmJgYli9fjtVq5ZNPPrEHeRYvXoyvry+bNm3iL3/5Cy+88AIPP/wwDzzwgH2fI0aMACAoSHme8vX1JSTE8fVycXExnp6eDqWD999/v/3nqW3u3LksWLCAN998k6eeeqrJ+68h8+bNY+LEiQA8++yzDBgwgCNHjhAbG8trr73G8OHDef/99+3bDxgwwOH2ZrPZHvA7t8zRRqPRYLFYMJvNuLu7t3qtgiCcn0TGl5PF+J+fkx2rMoqxlptQGTS491P6yxTWCnwd+zMfSwvKFnXRfgT+dQCSm4qqtCLyFh/AWtV1PxGylpdTdVgpZ9QnDna4rrv2+TKmFZL70T6s5Sa0vT3pcXdivUEvqBX4Cg23X+Zf0+cr/9QJJLVkH4BQsTsHY3pRB6/eRdgyvno2ERAddCP4RUBFHmxvfYlDV2Lv79Wj/hfUtumOx/bnUVbYfTOayqrMrN6rDIaY3khT+3NJksQ/J8QB8PWOExzJKWviFoIgCK4nJSWFqqoqrrjiigavT0xMdAgSjR49GqvVas/WAiVwUzuDqmfPnuTk5Djsa9CgQfb/28oPbdvs3buXI0eO4OXlhaenJ56envj7+2M0GklPTycnJ4fTp083uM7GeHl5kZyczM6dO5k/fz5Dhw51KOWszd3dneeee4433niDvLy8Fh/LpvbP2rOn8nxq+1ltGV+NsWV7ubu728saz2Vrdu8qPckEQehaRMaXk9kb3Bd2ryBGUyr3K0+uuvgAJLUSfy08czbN2mS0cDqtiNA4/2bvU9ffl8DbE8j77ADVGSXkfXqAwL8ORKXveqd55YE/wWpF07Mn2uAeDtfpYmIp/21zt5rsWJGcQ8G3h8Ei4x7pS8Ctcajc6/+9VZaVUlZYAEBgaJj9clvgq/D0SQDcQr3wuKgn5VuzKFp1hOAHhiJpu3Gs31gMBenK/xvL+AJQa2DMI/D93bDlHRhxB7h7dvgSnensRMf6A19+IR70jPQh60gxh/7IYvj48E5cXef5Ye9pKqot9Av04IKI5j++AlzYL4Ar44JZn3KGV346xCczh3fQKgVB6Ir0WjUHnxvntGM3azt9/R+otVTtiYOgBLbO7T3V2DZlZWUMGzaMZcuW1dl3UFAQKlXrX6+oVCp7SWRcXBzp6encfffdfPHFF/VuP2PGDN544w1eeOGFJic6NqT2z2rLYLP9rE3d51ar1Z6ZVl9Wmo2Y7CgIQlt043eBXYMt8JVWmIbFamli6+5BtspU/lnT36umzBHOljoavN0AyNjX8k+e3Pt6E3RnApJeQ/XxUnI/2Y+lGY3yXU19ZY429oyvQ90jWFq6+RQFX6eCRUY/KJDAWQMaDHrB2Wwvnx7BuOnPBjECahrc5586Yb/MZ1w4Ki83zHmVlGw6QbeWpZwz+ISBR2Dj2wIkTAP//lCRD9s/anr7Lq44x1bqWH/gCyD+4l4ApCSdRrZ2z6lRX9eUOU4f0XRT+/o8Nj4WtUpifcoZth3t/v3QBEFoPkmSMLhpnPLV3MezqKgo9Ho9GzZsqPf6uLg49u7d69DzKikpCZVKRUxM+7VNGDp0KGlpafTo0YPIyEiHLx8fH7y8vAgPD29wnaAEm87tk1Wfxx57jOXLl7N79+56r1epVLz88sssWrSoTnP99jBo0KBGfw6j0Ygsy6jV6kZLGEXgSxCEthCBLycL8wpDr9FTaa7kWOkxZy+nU1QfK8FaakLSadD19wWUhqi2UsfEK5QARubevFaNLHbr40XQnQmoPLSYTpWR9/E+LKVdq8G5PfBVK3Xcxj7ZMS0NuQtPtpFlmaKfMij+8SgAnqN64X9jLJKm8Yels/29wh0u9++lZHwVnDppP29UOg2+/9cPgNJNJzDlVtBt2ft71Q2W1suW9QWw5V2oKu2QZbkCq1WmOFcpdfQJbviT5/5De+CmU1OSZ+TU4cIGt+uqDmWXkHyiCI1K4tqhfVq1j8gentxYUyL50poUrN00QCgIQvek0+l49NFHeeSRR/j8889JT0/njz/+4NNPlWEvt9xyCzqdjpkzZ3LgwAE2btzIfffdx6233mrv79UebrnlFgIDA5kyZQqbN28mIyODTZs2cf/993PypJK5/swzzzB//nzeeecd0tLS2L17N++++659H7bAWHZ2dp0JibWFhoYydepUnn766Qa3mThxIhdeeCEffvhhu/2MNo8//jg7duxg7ty57Nu3j0OHDrFo0SJ7aeU777zDtGnT6m1qX5st8GW1WsVkR0EQWkwEvpxMrVIT5RcFnD99vmxljvp4f3uQo7yoGlOVBUklMeCSXqi1KkoLjOSfat2UGbdengTdlYDKyw1TdgW5H+3DUtw1+vbIsnw28DW4bhDDrW9fJHd35IoKTMePd/by2oVssVL47WHKflVe3HlfHY7P5H5IqqY/sc07XjPRsVZ/LwDfnr2RJBXVlRWU15RCAugHBqKL8QOLTNGqI60KpnYJ9omOLRh4MPB6JeursqBbZ32V5huxWmTUGhVefroGt9O6qYm+QGkSfDApq7OW12m+3q5ke10VH0yQV+sbAz94ZTQebmr2nizmh/3d734SBKF7e+qpp3j44Yd5+umniYuLY/r06fZ+VAaDgbVr11JQUMCIESO4/vrrueKKK1i4cGG7rsFgMPDbb78RFhbGtddeS1xcHLfffjtGoxFvb28AZs6cydtvv83777/PgAEDmDRpEmlpafZ9zJ8/n3Xr1hEaGsqQIY0/9z/00EP8+OOPbN++vcFtXn31VYxGY/v8gLVER0fzyy+/sHfvXi644AJGjhzJf/7zHzQaDdXV1eTm5nLs2LEGm9rbqFQqewmoyPoSBKGlJLkLvAssKSnBx8eH4uJi+5NBd/L81uf55vA3zB44m4eGPeTs5XQo2SqT/cp2LCXVBMyMRx8XAMCJQwWsfjsZ32ADtzx7ET++t5fM/flc+H/9GD4hvNXHM+VVkvfxfizFVagDdATdkYCmkTe+rqD65CnSr7wSNBpidu5Apau73ozrb8B44AC9334b76ud00+jtazVFgqWpWBMLQQV+F0bjcfw5n+K+uVT88g6fIiJDzxC7KhLHa779IE7KcrO4oanXiRs4NmgobnAyJm3diGbrPjdEI3HsPb71NZlvDMECo7CjJUQ2YJmuHuXw6q7QO8HD+wDXfd7jD32Zz4/vLsX/14e3PT0hY1um3u8lG9e2oFKI/HXVy5G59m8qYeuzmiycOFLGyiuNLHkryMYG9Oj6Rs14p0Naby57jB9/PRseHgM7pquPUVXEISWMxqNZGRkEBERga6e1yqC0JSioiIqKirQ6XT4+zfddzIvL4/q6mp8fX2bDJQJgtA9NPZc05I4kcj4cgGxATUN7gu6R8+mxlSfKMVSUo3krkYX5We/3Nbfy9Z4OnyQ0qOoNX2+atMG6gmaMwi1vw5LvpHcD/dhzq9s0z47WuXeZEApaawv6AVn+3wZu9hkR0u5ibyP92NMLUTSqgi4bUCLgl6yLJN/Qsn4Cjqn1BHAv54+XwAafx3eV/YFoPjHo12y71ujKouUoBe0LOMLIOF6CIiCykLY3v4lDq7A3ti+kf5eNkFhXgSGemI1y6Ruz+7opXWatX9mU1xporevnkuigtq8vzsuiaCHlzsnCyv5Yuv5UaYvCIIgtB+r1UplpfKavLGm9rWJPl+CILSWCHy5gFi/s4GvLpCA1yb2Msc4f4deTrb+Xn4hjoGvnMwSyttYoqjx19FjziA0gXosRVXkfLAPU47r9npqrLG9jS5GOWeqUg93yprag7nQSO4He6k+UYrKoCHwjgT0sS2bKleSm0N1ZSVqjQbfkF51rq/d5+tcnhf3QhvigbXCTPGajNb9EK7K1tjeNwwMLbtPUalhzKPK/7csVKZDdjPFOcoLa99G+nvVFj9aObcO/n662zwm28ocbxjeB3UzSoqbYnDT8PBfogF4939HKK7oZsFkQRAEoUNVVlYiyzIajQY3N7dm3cYW+DKZxHOOIAgtIwJfLiDSLxKVpKLAWEBeZdsynFyZLMtnA18JjlPnCrOVXl62wJeHjzs9+noBcGx/2yeHqX3cCZozCE2wAWtpNbkf7cOU3br+YR2tsf5eNu4xyhvOrjLZ0ZRdTs6ivZhzK5Xfxd8Sce/b8pK6vBOZgJLZpdbUnfxom+xYcKruBEdJrcL32kiQoGLXGYzpRS0+vstqTX+v2gZeC4HRYCyCbd2v11dRTaDbpxkZXwBRI4JRa1UUnC4nJ7PrN/3PzCtn69F8JAluGB7abvu9flgoMcFeFFeaWLgxrekbCIIgCALKewLb5MymmtrXptUq7QdExpcgCC0lAl8uQK/RE+EdAUBKQYqTV9NxTCfLsBRXIbmp0UX7OVxnK0XyCzmb6hyR2D7ljjZqLzeC7hqEtpcH1jITuR/to/qka72ptVZXU3VQOQcaz/hSSh1Np09jKSnplLW1VtXRYnI+2Iu1pBpNsIGguYlomxmAOJe9sX09ZY4A/r1rMr5O1834AnAP88bjwp4AFH1/BNncTaYCZSUr//Yc3Lrb18762vput8v6akmpI4DOQ0v/oUo54MGk0x22rs6yfKcSCB4THURv3+ZlvTWHWiXx2AQl+3TplmOcKHDdTFpBEATBdVRXV2M2m5EkqUW9umwZXxaLpdtkZAuC0DlE4MtFxPgrgYzuPNmxoibbSxfnj6Q92wi52mimrFApZ7T1+AIIH6S88TyRUoCp2tIua1B7aAm6IwG3UC+sFWZyP9lP1THXCRxVpaQgm0yo/fzQhjacmaH28UHTSwngVKW67jlTeSCP3M/2IxstuPX1VkpOfVo/TS73eCYAgaF9673ev5dyn5UV5FNVUf+bcJ9x4ai8tJhzKyndVDczrEtqa8YXwICpEBijBL3++KB91uUCzCYLpQXKlKrajy9NsZU7pu04Q7Wx636ybLJY+XanEgi+cUT7ZXvZjI0OYnRkANUWK6+vdd3HIkEQBMF1VNS8RtPr9fZJjc2hUqns2WEi60sQhJYQgS8XEevfvRvcK2WOuQDoBzqWOdqyMfReWnQeZyeoBfT2wNPfHYvJysmUgnZbi8qgJfD2gbiFeyMbLeR9eoCqo66R4VK7v1dTad+2Pl/GQ675ZrNsWxb5y1LALKOL8yfojoGoDG2bkJdnC3yF1R/40nl6YvDxBaCwgawvlV6D7+T+AJRsPIEpt4tnqVQWQmGm8v+eDWcJNkmlhrG2rK/3lIb53UBxbiXI4KZTo/dq/vnXK8oXnyA9pioL6btzOnCFHet/h3LIK6si0NONK+Laf5qpJEk8Pj4OSYLVe0+z72RRux9DEARB6D4sFou9qX1LJzNKkiQa3AuC0Coi8OUiunvgy3SqDEthFZJWhS6m6TJHUJ7cImqyvjLbqdzRRqXTEDh7IO6RvsjVFvIWH8CYVtiux2iNyuSm+3vZuOpkR1mWKVl/jKJVR0AGjwtCCJgR75Dl1xoWs4nCrFMABIaGN7hdQAOTHWvTJwTiHu0HFlkpeezK6fKnk5V//cJb3tj+XPFTISgOqorhj0VtXZlLONvYvvk9REB5/Im/2NbkPqtD1tYZlu9Q/g6uG9YHrbpjnvIH9vZh6uDeALz4Y0rX/nsSBEEQOpQt20ur1Ta7qX1tIvAlCEJriMCXi7CVOh4vPU65yTWbrrdF5YGaMsdYf1RujgEQ20RH35C6n/pE1Ex3zNifj2xt3zdTKjc1gTPj0cX4IZus5C39k8qUtjfSb4vmTHS0sU92dKGML9mqBJJK1h8HwOvyUHynRiKp2z5FruDUSawWC+4GD7wCAhvcrqk+X6AENfyuiUTSqqhKL6ZiT9fN6LGXOba2v1dtKtXZrK8/3leyybo4W2C9uY3ta4u5KARJJZF9tJiC013vcTmruJJNqcq5Pb0dm9rX5+FxMbhpVGzLKGBDShf+exIEQRA6jCzL9sCXh4dHE1vXTwS+BEFoDRH4chH+On96GHoAcLjwsJNX074am+YIZwNffvX03+kV7YtWp6aypJozHdCLS9KqCbg1Hl18AJhl8v+dYg/SdTZzbi6mU6dAktAlJDS5va4m46sqLQ3ZBZ78ZZOVgmUplG/LBgl8p/TH5y/hLcqyaUztMsfG9unfyGTH2jT+OryuCAOg+MejWMq76GhsW2P7tvT3qi1uCvSIh6qSbpH1ZZvo2JL+XjYePu6EJwQAcHBL12ty/+3Ok1hluDDCn35Bnh16rN6+emaPVoa0vPxTCmZLNxkcIQiCILSbqqoqLBYLkiSh0+latQ9b4Mtk6qKv2wRBcAoR+HIhcf5xAKTkd6/Jjqascsz5RtCo0MXULcUqOqNkUpxb6gig1qgIi1feeLZ3uaONpFERcEss+sQgsMjkf5lCRXLnZyxU7tsHgHtkJGrPpt+kasPCkAwG5Koqqo8d6+jlNcpaaSb3s/1U/pkPagn/m2PxHNmrXY+Re6JmomMjZY4A/r1qMr5ONZzxZeN1SW80wQas5WaKf8po8xqdwt7YfnD77E+lOjvh8Y9FXT7r6+xEx9ZNM7SVO6b+kY3F1HWCOVarbC9zvPGCjs32spl7WX/8DFrSc8v5ekc3GRwhCIIgtJsrrriCp59+GoPB0GBT+yVLluDr69vgPmpnfInSekEQmksEvlyIfbJjoeuUrrUHe5ljjB8qd8cyR6tVpuiM0oPHr55SR4CIRCVLrKMCXwCSWoX/9BgMw4LBCgXLUynfkd1hx6uPrb+XLnFQs7aXVCp0UVEAGA85r8+XpaSK3A/3Up1RguSuJnD2QAwJQe1+nLMZX+GNbmcrdSw6k4WliUw4Sa3C71rlPqzYecZlhhw0W0UBFCllpW1qbH+uuP+D4IFK1tfW99pvv05QVKvHV2uExfvj4euOscxERgc+BrW334/kcaqoEm+dhvEDe3bKMb11Wu6/Qvl7env9YcqqnJ+JKgiCcK5Zs2ZxzTXX1Ll806ZNSJJEUVFRp6+ps9kyro6d88HpNddcw6xZs1q8r++//77J7cxmMx999BGPPPKIval9eHg4b7/9tsN206dP5/DhhqtfbIEvUBrlC4IgNIcIfLmQ7tjgvnaZo6GeMsfSfCMWsxW1RoWnf/0pz30HBiCpJPJPlVOSV9lha5VUEn7XReFxYQjIULgijbKtnVfe1JL+Xjbusc7t82XKrSDn/b2YsitQeWkJmjMIXX/fDjlW3vGajK8GJjraePkHonXXYbVYKDrTdFNy977eyu8cKFyVhmzuOlk99mwvvwjQ+zW+bUs4ZH19oATYuqDqSjOVJdVA63p8AajUKuJGKYGjg0ldp9zx6x1KQHTqkN7o2jhYoiVuubAv4QEG8sqq+ejX9E47riAIguBIluVG+2BJksTTTz/dKWuprq6moqICPz8//P390WobnrKs1+vp0aNHg9eLyY6CILSGCHy5kFg/JYhxpPAIJmv3qFs3n6nAnFsJagldbN0yx8JspczRN1iPSlV/3yadh5ae/X0AyNzfsRkXkkrC95pIPEcr5U1F/0mndHPTJXNtJZvNVB44ALQw8BUTDYDxcOcHvqpPlJK7aC+Woio0gXp63D0Yt14d00fIWF5GaX4uAIGhjQe+JJUKv17KhLmm+nzZ+IwLR+WpxZxbSemvHf/7bjft3d+rtthJEJwA1aWwdWH7778T2Pp76b3dcNdrmti6YbEjlcDXiZSCDg2+t5e8sirWHTwDwI0XhHXqsd00Kh65Wnku+3hzBmdKjJ16fEEQhPaSn5/PTTfdRO/evTEYDCQkJPDVV185bDN27Fjuu+8+HnzwQfz8/AgODubjjz+mvLycv/71r3h5eREZGclPP/1kv40ts2zt2rUMGTIEvV7P5ZdfTk5ODj/99BNxcXF4e3tz88032xvBA1itVl5++WUiIiLQ6/UkJiby3Xff1dnvTz/9xLBhw3B3d+f3339v8Oe79957+fe//82Bmtef9akvI2vw4ME888wz9usBpk6diiRJ9u+feeYZBg8ezCeffEJERAQ6nY6Kigquv/56+23Hjh3LsWPHeOihh5Akyd6/tb5Sx0WLFtG/f3/c3NyIiYlhxYoVwNnAlyRJfPLJJ0ydOhWDwUBUVBSrV69u8OcSBOH8IwJfLqS3V288tZ5UW6vJKO6i/YbOUVETqNJF+6HS1X3jae+/E9z4ZJdw23THvR1faiRJEj6T+uE1VumLU/xjBiX/O96hx6w6cgS5ogKVhwfu/fs3+3Y6J2V8VaYWkPvRPqwVZrR9PAn62yA0DWTstYe8mv5eXgFB6DyaDq4F2BvcNy+IpTJo8Z3UD4CSjccxdYHgBlCrv1cHBL5UKhj7mPL/bR9CuXMnnraGvbF9K/t72fgE6ekT6wcypGxtOovQ2VbtPoXJIpPYx4e4nt6dfvzxA0MYGuZLpcnCm790r2EtgiA0Qpahutw5Xx3Q68loNDJs2DB+/PFHDhw4wF133cWtt97K9u3bHbZbunQpgYGBbN++nfvuu4+7776bG264gVGjRrF7927+8pe/cOuttzoEsUAJDi1cuJAtW7Zw4sQJpk2bxttvv82XX37Jjz/+yC+//MK7775r3/7ll1/m888/54MPPuDPP//koYceYsaMGfz6668O+33sscd45ZVXSElJYdCghttnjB49mkmTJvHYY4+1+j7asWMHAIsXLyYrK8v+PcCRI0dYsWIFK1eu5I8//sBqVTLq1WolC3nlypX06dOH5557jqysLLKy6n9+XbVqFQ888AAPP/wwBw4cYM6cOdx3330kJSU5ZHw9++yzTJs2jX379jFhwgRuueUWCgq6Zsa6IAjtr/UfgQvtTiWpiPaLZnfOblILUon2i3b2ktrM1t+rvmmOUGuiYwP9vWwiBgWyZcURTh8uoqrS3KbsjeaQJAnvcX2RtCpK1h2j5JdjyGYr3lc1PlGwtez9vQYlIKmbX5bkHq30hTOfOYO5sBCNXzuWuzWgfNcZClekgVXGPcqXgBnxdXq3tbfmljnanG1w3/wG2/rEINx3naEqrYii748QePvADvldt6vTynnTbo3tzxU7EUISIHu/kvV15b865jgdxNY/0LeVZY61xY/uxclDhRzaksWIiRENZqg6myzLfFVT5jh9ROdme9lIksQTE+O4btFWvt11gtkXRxAT4uWUtQiC0IlMFfBS+w62abZ/nga3xj9Ere2HH37A85xBQuf2i+rduzfz5s2zf3/fffexdu1avvnmGy644AL75YmJiTz55JMAPP7447zyyisEBgZy5513AvD000+zaNEi9u3bx0UXXWS/3QsvvMDo0aMBuP3223n88cdJT0+nXz/lg7jrr7+ejRs38uijj1JVVcVLL73E+vXrGTlyJAD9+vXj999/58MPP2TMmDH2/T733HNcddVVzbofXn75ZQYNGsTmzZu55JJLmnWb2oKClJ6uvr6+hISEOFxXXV3N559/TlBQEHl5eVRXV6NWq+2vrfz9/VGr1Xh5edW5bW1vvPEGs2bNYu7cuQD8/e9/JykpiQ8++IDLLrvMvt2sWbO46aabAHjppZd455132L59O1dffXWLfy5BELofkfHlYrpTny9TTgXmMxWgltDHBdS7ja3UsanAl2+wAb8QA1arzPE/OyfzRJIkvK8Iw2d8BACl/ztB8ZqMDpkg05r+XgBqTw+0oUp2U1Vqx2d9lf52ksJvD4NVxjA4iMCZAzo86AXNb2xv49+nJuPrdPPLFiVJwu+aSNCoqDpSRGVybkuX2bnK86G4Axrb1yZJMPZx5f/bP+pyWV9nM0rbHviKGByIu4eGssIqTqS47ifIO48VcjS3HIObmv8b7KQ3oMCwvv5cPSAEqwwv/9S9JhULgtD1XXbZZSQnJzt8ffLJJw7bWCwWnn/+eRISEvD398fT05O1a9dy/LhjFUDtrCq1Wk1AQAAJCQn2y4KDgwHIyclp8HbBwcEYDAZ70Mt2me02R44coaKigquuugpPT0/71+eff056umM/xeHDhzf7foiPj+e2225rU9ZXQ/r27UtQUBAmk4nqaqXfZkOTHBuTkpJiDxDajBo1iiNHjmAynW0NU/v+9PDwwNvbu859LgjC+UtkfLmY7hT4sjW110X6omogQ8v2xtQvpOlP6cITAinMPk7mvjyihge330Kb4DWmD5JGoui/RynbfArZbMV3cn+kdsz4qNy3D2h54AtAFxuD6cQJjIcO4VHrk8T2JFtlitdkUPb7KQA8L+6Nz4SIdr0PGpN3IhOAoCb6e9nYM75On0SW5WZnbmkC9HhfEUbJ2kyKfjiqTCI1NNyA1amyasoc/fuDzqfjjhMzQQmsZe2FLe/AVc923LHaWbG91LHtgS+NVk3MhSHs+99JUn4/Td8B9Qfzne2r7cobskmDeuLp7tyn+EfHx7I+5QybUnNJOpLH6Mj6M38FobuxmKzs3XiCfolB7RJ47zK0BiXzylnHbgEPDw8iIyMdLjt50vHDstdff50FCxbw9ttvk5CQgIeHBw8++KA9iGM/9DmN2iVJcrjM9hrEVupX3+3OvY3tMtttysrKAPjxxx/p3bu3w3bu7u51fraWePbZZ4mOjq53MqNKparzgW/tYFNjbOuwlXi6u7u3Wya9rVxSlmV7pl5j958gCILI+HIxtQNfHZFZ1Jlsga+GyhyNZSYqS5UnT59m9OAJT1T2c+xAPhZL5z6ReY7uje+1kSBB+dYsClemIVvb5/djKSmhuubTutYEvtxjOrbPl2y2UvhNqj3o5TMhAt9J/Tot6CXLcq1Sx/Bm3cY3pBeSSkV1ZSVlhS3LUvK6pDeaHgas5SaKf8ps4Wo7UUf296rNIevrYyjv+D577UGWZYpylFJHn+C29fiyia8ZepGxN4+Kkuomtu58xZUm1uxXeqR0dlP7+kQEenDLhco6XlqTgrWdHjMFwdXtWXecrSvT2fzNedbjTpKUckNnfHVAa4KkpCSmTJnCjBkzSExMpF+/fhw+7JzfaXx8PO7u7hw/fpzIyEiHr9CazP/WCg0N5d577+Wf//xnnXLPoKAgh95bJSUlZGQ49iHWarV1bmdjtVrtga/6AnJubm4N3tYmLi6OpKQkh8u2bNlCdLTSEkZMdhQEoTlE4MvF9Pftj0bSUFJdQnZ5trOX02qm3ApM2eWgktDHN1DmWJPt5ennjls9je/PFdLPB52HlqoKM9lHitt1vc3heUFP/G6IBgkqdp6h8JtUZEvb38hV7tsPgDYsDI1/3cmXTdHFKn2+jB1Q6mitspC39E8qknNBJeE3LRqvS/u0+3EaU5qfR1VFOSq1Gv/ezTu2RqvFN1jpF1FwsmVTGiWNCr9rlU+By3dkU5XZ+edas5xOVv7tqP5etUVfrQTYTOWQtKDjj9cOKktNVFeaQVKa07eHgN6eBEd4Y7XKpP7heo/Pq/eexmiyEh3syZBQX2cvB4D7r4jCy13Dn6dL+D75lLOXIwgdTrbKpGxRsp6y04vb7UMyofNFRUWxbt06tmzZQkpKCnPmzOHMmTNOWYuXlxfz5s3joYceYunSpaSnp7N7927effddli5d2ub9P/7445w+fZr169c7XH755ZfzxRdfsHnzZvbv38/MmTPt2VY24eHhbNiwgezsbAoLCx2uMxqNyLKMWq2uk5lmu+1vv/3GqVOnyMur/4O1f/zjHyxZsoRFixaRlpbGm2++ycqVK7n33nsBEfgSBKF5RODLxbip3ejvq0z1Synoun1RKg8oWTbukb4Nloo1t7+XjUol0TdBCaJl7HdO1onH0GD8b4oFlURFci4FXx9CNrct+6xybzLQumwvAPeayY7VR44gNzP9vDksZdXkfryPqrQiJK2KwJnxeAztvBJTG1uZo1/P3qg1zS879LdNdjzd/Ab3Nu7hPnhcoATOClceafPvuEPYA18dnPEFjllfOz6BMhfvf8bZiY5efjo02vbrQ2fL+jqYdNrlsnK/3n62qb2rDGYI8HTnb2OV57Q31qZiNDX+yb4gdHUnDxdSkmcEoNposQ/xEbqeJ598kqFDhzJu3DjGjh1LSEgI11xzjdPW8/zzz/PUU0/x8ssvExcXx9VXX82PP/5IREREm/ft7+/Po48+itFodLj88ccfZ8yYMUyaNImJEydyzTXX0P+c6ePz589n3bp1hIaGMmSI42uS8nLltb7BYKj3eem5554jMzOT/v372xvln+uaa65hwYIFvPHGGwwYMIAPP/yQxYsXM3bsWEAEvgRBaB5JdrVX7vUoKSnBx8eH4uJivL07fzR7Z3vi9ydYnb6auYlzuXvw3c5eTquceXcPplNl+F0bZQ8gnGvLiiPsWXechMv6cOn05k2wTN+dw88fHcA7SM+M5y5y2pu7yoP55C9LAYuMLs6fgJvjkLStiyMfv+suyn/bTPCTT+I/45YW316WZQ6PuABrWRkR//kPupi2TwM1FxjJ+3Q/5nwjKoOGgFkDcA9zzt/e9v98x+YvlxAz6lImPfBIs2/327LF7Fi9gsS/TOTK21v+d2StMJH95i6sZSa8x/XF+zLnl47ZleXCGzW9SR47AbpO+N3IMnx8OZzeDaPug7+80PHHbIODSafZ+MUhQuP8+L8H2i84WG00s/jRJMxVFqbOG0qvSN9223dbHDhVzKR3f8dNrWLbP6/Az8PN2UuyM5osXPbGJrKKjTx6dSx3j+3f9I0EoYv65ZMDpO0821D7sltj7QHz7sZoNJKRkUFERAQ6nc7ZyxFcTHV1tT2LKzg4uE6mWFuVl5dTXFyMu7s7AQGu2XdTEIS2a+y5piVxIpHx5YK6eoN7c34lplNloAJdIw2gbaWOfi1o/Boa749KI1GSW+nUT1H18QEEzhwAGhXGlALyPv8Ta3XLMxlkWaZyb+sb24PSvNM9Ril3rEpt+zlTfbqMnEXJmPONqH3dCbo70WlBLzg70TGomf29bGwZX4WtyPgCUBm0+E5UpiuVbDiBOb+yVfvpEFnJyr8BUZ0T9IJzen19AmWuPSmpuKa/V3s0tq/NTachangPAFJ+d1IT53rYmtqPGxjiUkEvAJ1Wzby/KI9R7288QkG56/VHE4T2YCwzkV4zETg0zg+AMxklzlySIDiNrbeXXq9v96AXgEajtEkRGV+CIDSHCHy5oK4e+Ko8oHy6497PF7VHw6VpLS11BOVNZ59o5cVk5j7nNtnWRfsR+NcBSG4qqtKKyFv8J9aqlj35VmdmYi0uRnJ3b1Omlu22be3zZUwvIvfDfVhLTWhDDPSYm4g2yLkTqWyBr8Cw5k10tLFNdsw/1bIeX7XpBwfhHukLZiuF3x9xndK2zuzvVVvUVdB7OJgrXb7Xl63U0acDJqrZsjeO7MqhqtL5L7grqs2sTlaCcDeNaFuT444ydUhv4nt6U1pl5p0Nac5ejiB0iNRt2VjNMoGhngwcozwHnclw0T6RgtCBaje1Nxg65nWkLfBlsVjE9EZBEJokAl8uKMZf+WT8dPlpiqu63gumCts0x4ENj663mKz2Hhh+IS0buxw+SNmvswNfALr+vgTOHojkrqY6o5i8Tw9gNTb/jXDl3r3KfuLjkdxan6XRHpMdK/bnkvfZAeQqC24R3gTNSUTtXbcRaWeymM32wFVgaHiLbmtrhF9eWEBVRXmrji9JEn7XRIJGoiqtiMq9LtLbqrMmOp7LodfXp1DqnCa/zVFUk1Hq2wGBr+AIb/x6emA2WUnb4fz7YM3+bEqrzIT5G7ion2uWe6hUEv+cEAfAv/84RmZe6/4mBcFVybLMwSQlAB0/uhfBEUo2bv7pcqpb8LpAELoDW9BLo9Hg1obXt41Rq9WoVMpbWZH1JQhCU0TgywV5u3nT27M3AIcLu9YobHOhEdPJMpBA30iZY3FuJbJVRqtTY/Bp2ROiLfCVdbSYylLnl8y4h/sQdEcCkl5D9fFScj/ej6W8eU3mbYGv1pY52rR1smPZ1tMUfHkILDL6AQEEzU5ApW960mZHK8w6hdVixk2vxzuoR4tuq/PwxMNXyQ4saEPWlyZQb+/vVfTDUawV7TdAoNVsga+egzv/2JFXQJ8RNVlfb3f+8ZtBtsq1Sh3bZ6JjbZIkET+6JwAHXaDc8WxT+1BUKtdoal+fi6MCGRMdhNkq89rarpnRLAgNOZNZQsHpctRaFdEXBOPh446nvzvIkJMpyh2F84csy/bAl4eHR4f24xXljoIgNJcIfLkoW7ljSn7XmuxoL3OM8EHt1XBAq/BMTZljcP1TXhrj5a8jMNQTZMjcn9/6xbYjt1Avgu5MQOWhwXSqjLyP92EpazooZw98DW5b4Ms9KgokCUteHuYGxkHXR5Zlin/JpOg/6SCDx4Uh+N/S+kb97c1W5hgQ2rdVL5zOTnZsfeALwGtMHzQ99FjLTBSvzWzTvtqs9AyUngYk6Dmo849fO+tr52dQmt35a2hCaaERi9mKSi3h5d8xDZdjLgpBpZbIPV5K7vHSDjlGcxzJKWXnsULUKonrh/Vx2jqa6/EJsagkJUtt17HCpm8gCF2Eredf5NAeuNdMsw6J8AEgW/T5Es4j1dXVmM1mJElCr2//D59qE4EvQRCayzXe3Qp12ModUwvb1rOps1XayhwTGi5zBOyN6Vta5mhjL3fc7/xyRxu3Xp4E3TUIlZcWU3YFuR/uw1JS1eD21ooKqlKVjL62ZnypDAbc+io9sIzNLHeULTJFK49Q+j+l+bv3lWH4XhOJ5EIZI3knjgEQ1MIyR5uzfb5a1+DeRtKo8LsmCoDybdlUHXPimxhbY/vAKHD3cs4a+l8OoReC2Qi/v+2cNTTClu3lE6RHpe6Ypzm9pxv9Biuj11OSnJf19fV25dy+LKYHwd6uP1UtNsTbHqB7aU2K6/TNE4Q2qDaa7ZMc4y/uab/cVu4oGtwL55PycuXDbb1eby9F7Cgi8CUIQnOJwJeLivXreg3uzUVVVB8vbbLMEaCoJvDl24LG9rVF1AS+jh8swGxq+TTFjqIN9lB6Y/m4Yc6tJOfDfZiLjPVua/zzT7BY0PTogSYkpM3Hdo+t6fPVjMmOsslC/r8PUr4jGyTwnRqJ95Wty6rqSLmtbGxvY8/4akOpo417Px8Mw4MBKFyZhmxxUiNVe2P7Tu7vVZskwdjHlP/v/AxKspy3lnrY+nv5tPNEx3PZmtwf3nEGcyumurZVldnCyj2nALjpAtdsal+fv18Vg06rYtexQtb+6XoZg4LQUkd25WCqsuDTQ0/PSF/75SH9lIyvMxnFIsgrnBcsFgtGo/K6t6Oa2tcmAl+CIDSXCHy5KFup49Gio1RbnN/HqjlsZY5ufb2bbIremomOtQWFeeHh44a5ysKp1KJW7aOjaAP1SvDLX4cl30juB/sw51fW2a5y3z5AyfZqj4CTvc9XExlf1goTuZ8ewJhSABqJgFvi8LywZ6O3cZa840rGV2BYeKtub2twX9DGjC8bn/ERqDw0mM9UULr5VLvss8Wc1dj+XP0ug9CLwFIFv7/l3LWcwzbRsSMa29fWJ9YPL38dVRVm0vd0/uCDdQfPUFBeTbC3O2Oigzr9+K0V4qPjzkv6AfDqz6mYnBVEFoR2klKrqX3t5/PAUE9UaonKUpN9oI8gdGe23l5arbbDmtrXVjvwJYLLgiA0RgS+XFSIRwg+7j6YZTNHio44eznNYgt8NTbNEZS+UoU1GRl+wa0rdZQkyaWmO55L468jaM4gNIF6LEVV5Hy4D1NuhcM2lcnt09/Lxj1GCXxVHWo448tcrKylOrMESacmaHZCk78vZ6murKAkV5mY19rAV0BNxlfRmSws5rY3pVd7aPGZqLxhL91wvN6AZoezlTo6o7F9bZIEl9X0+tq1BEqc3+TdpuhMxzW2r01SScTVNLl3Rrnj8h1KQHfa8FA0HVTS2VHmjOlPoKcbGXnlfLntuLOXIwitln+6jOyjJahUEjEXOWZva7RqAkOVkvQzGV1vSrcgtMS5Te07g1qttgebRdaXIAiN6VqvlM8jkiTZyx1TC1y/z5elpIrqmr5HTfX3qiiuxmS0IKkkfIJa/8bUFvjK2Jfnkp/yaHzcleBXsAFrSTW5H+7DVJPpJssylcnJQNv7e9nobKWOGRlYq+tmCZpyKsh9fy/mMxWovN3o8bdE3GvKMFyRrb+Xp58/es/W9bLy9A9Aq9MjW60UZbdPOZ5hSA/c+/sgm6wU/ie9c8+90mwozQJJBSEJnXfchkSMgbBRStbX5jedvRo7e8ZXB5c6AsSO7IkkwanDRfYSy85woqCCzWlK0H/a8K5T5mjj6a7hgSujAViwIY0SowtMSxWEVkhJUp5b+iYE4OFTN9s9RPT5Ou9s2rQJSZIoKirq1OM+88wzDB48uFOPWVtVVRUWiwVJktDpOqfnpCRJqNVqoPMDX+Hh4bz99tudesyuoiveN+euWZIkvv/+e6etp6MtWbIEX19fl9lPZxCBLxdma3DfFfp8Vf6ZDzK4hXmhqeeFX222MkfvQB3qNkwP7BPrh8ZNRXlRFXknylq9n46k9nIj6K5BaHt6YC0zkfvRPqpPlWHOzsacmwtqNboBA9rlWJqQEFQ+PmA2U33EMUuw6lgJuR/sxVJchSZIT4+7E9G2crBAZ2lrmSMoT1q2Bvft0efLtk/fayJBI1F1uJDKzsw4tPX3CowGd8/OO25Damd97V4Kxe1zH7eFxWylNF8pKeroUkdQpsyG1fQ0TNnSeb3OvtmpZHtdHBlIqH/H/5wd4cYRofQL8qCgvJoPNqU7ezmC0GIWk5XUP5Q+dfEX96p3m+B+SuBLTHZ0HbNmzUKSJF555RWHy7///vsWt54YO3YsDz74oMNlo0aNIisrCx8f1/xwccWKFYwdOxYfHx88PT0ZNGgQzz33HAUFBW3ar62pvcFg6PCm9rVptcoUVVfM+CopKeGJJ54gNjYWnU5HSEgIV155JStXrnTJD+3by44dO7jrrrvs37dXEGns2LFIkmQPrkZHR/Pyyy93yH2ZlZXF+PHj22Vf48aNQ61Ws2PHjnbZX3uYPn06hw8fbtFt6gtotmY/ziICXy7M1uerKwS+KvY1b5ojtH2io41GqyYsXnnDmbG38/vrNJfaQ0vQnQloQ72wVpjJ/Xgfpb/tB0AXE4OqnUY9S5KELlrJoDCmnn0AqkzJJ++T/VgrzLiFehH0t0Q0fq4//e1sY/vwNu3H1uerrZMda9MGGfAeW1NG+d90rJWd9GLLVfp71RZxKfS9GCzVLtHrqySvEtkqo3FXY/Dp+P4icLbJ/aGtWVg6oV+V2WLl251KkPHGLtTU/lxatYrHrlae5z79PYPTRU4oHRaENji6NxdjuQkPX3fC4v3r3SYkQgl+5J0odalhPOc7nU7Hq6++SmFhYbvv283NjZCQEJcbGATwxBNPMH36dEaMGMFPP/3EgQMHmD9/Pnv37uWLL75o9X7NZjNVVcok884qc7Rx1Qb3RUVFjBo1is8//5zHH3+c3bt389tvvzF9+nQeeeQRiou7b/lzUFBQhw03uPPOO8nKyiI1NZXHH3+cp59+mg8++KDdjxMSEoK7e+PJHM1x/PhxtmzZwr333stnn33WDitrH3q9nh49erjMfjqDCHy5MFvgK7UwFavsus1/LaXVVGcqD97N6RdVZO/v1fYHxPBBSuArc39+m/fVkVQGLUG3D8Qt3BvZaKFijxvqgKh26+9lY5/sWNPnq3xnNvlfHEQ2WdHF+BF4ZwJqD227HrOj5J3IBCAwtHUTHW1sfb4KTrdvNpLX2FA0QXqsZSaK12a2674b5Cr9vc5lm/C4+3OnZ30V5Zzt79VZbzr6DgpA76WloqSaY53wWPTr4VyyS4z4GbRcFR/c4cfrSFfFB3NBuD9VZivzf+kanxgKgo2tt1/cqJ6oGuiz5xWgQ++lxWqRXTY7/Xx05ZVXEhISwssvv9zgNvn5+dx000307t0bg8FAQkICX331lf36WbNm8euvv7JgwQJ7FkpmZma9pY4rVqxgwIABuLu7Ex4ezvz58x2OFR4ezksvvcTs2bPx8vIiLCyMjz76yGGbRx99lOjoaAwGA/369eOpp57CZGp+mfj27dt56aWXmD9/Pq+//jqjRo0iPDycq666ihUrVjBz5kwA0tPTmTJlCsHBwXh6ejJixAjWr19fZ70vvPACt912G56envTr149ffvmFkpISrrvuOnsm2c6dO+23sZVEff/990RFRaHT6Rg3bhwnTpz9YHLWrFlcc801Dsd68MEHGTt2rP377777joSEBPR6PQEBAUyZMoWKiop6A18Wi4Xbb7+diIgI9Ho9MTExLFiwwGEb2zHfeOMNevbsSUBAAPfcc4/DfZuTk8PkyZPR6/VERESwbNmyJu/vf/7zn2RmZrJt2zZmzpxJfHw80dHR3HnnnSQnJ+PpqWTuFxYWctttt+Hn54fBYGD8+PGkpaXVud9++OEHYmJiMBgMXH/99VRUVLB06VLCw8Px8/Pj/vvvx2I5G1w/93fUt29fVq9eTW5uLlOmTKn3d1Rfuezbb79NeHh4i+6v2plBtttOnTpV6dEcHk5mZiYqlcrh2LZj9e3bF6u14fe9BoOBkJAQ+vbty1//+lcGDRrEunXr7Nc35/xtzu/z3Cy1/fv3c/nll9vPu7vuuouysqYf0xcvXsykSZO4++67+eqrr6isdPyQ79zz+corr7RnT27atIkLLrgADw8PfH19GT16NMeOHbPfdtGiRfTv3x83NzdiYmLqBK+LioqYM2cOwcHB6HQ6Bg4cyA8//ADULVFs6n4bO3Ysx44d46GHHrI/3tW3n+asS5IkPvnkE6ZOnYrBYCAqKorVq1c3eV+2lQh8ubBwn3DcVG6Um8o5VeqkCXLNYCtz1PbxbFYmka2xvW8rJzrW1ndgIEiQe7yUskLXnpik0mkInD0Q9/4+gBr9yAfQ9h3WrsewT3ZMTaVk0wkKv0sDKxiG9iDgtnhUbup2PV5HkWW5XUodgVqlju2X8QUgaVT4TY0EoHxbFlXHOqGMxRUzvgAiLoHwS5Ssr83zm96+A9kC653R38tGrVYRe1HnNbn/uqap/XVD++Cu6Rp/0w2RJIl/TowDYOWekxw8LcrBhK6hJK+SEylKtlDcqIYnI0uSRHBN1lf20e6b4QE1zc1NFU75ammpk1qt5qWXXuLdd9/l5Mn6P7AxGo0MGzaMH3/8kQMHDnDXXXdx6623sn37dgAWLFjAyJEj7RkoWVlZhIbWzcLdtWsX06ZN48Ybb2T//v0888wzPPXUUyxZssRhu/nz5zN8+HD27NnD3Llzufvuu0lNPdvn18vLiyVLlnDw4EEWLFjAxx9/zFtvNT/TetmyZXh6ejJ37tx6r7e9eS0rK2PChAls2LCBPXv2cPXVVzN58mSOH3ccRPLWW28xevRodu/ezeWXX87999/P/fffz4wZM9i9ezf9+/fntttuc/jdVFRU8OKLL/L555+TlJREUVERN954Y7N/hqysLG666SZmz55NSkoKmzZtYurUqciyXO9kR6vVSp8+ffj22285ePAgTz/9NP/85z/55ptvHLbbuHEj6enpbNy4kaVLl7JkyRKH38+sWbM4ceIEGzdu5LvvvuP9998nJyenwXVarVa+/vprbrnlFnr1qlsG7enpac9UmzVrFjt37mT16tVs3boVWZaZMGGCQyCpoqKCd955h6+//pqff/7Z/nOvWbOGNWvW8MUXX/Dhhx/y3XffORzH9jvas2cPEydO5NZbb+W2225r9HfUHE3dX7XZyvsWL15MVlYWO3bsIDw8nCuvvJLFixc7bLt48WJmzZrVrFJZWZbZvHkzhw4dcpgg2pzzt6W/z/LycsaNG4efnx87duzg22+/Zf369dx7771NrnHx4sXMmDGD2NhYIiMjHX5H9Z3P1157rf18vuaaaxgzZgz79u1j69at3HXXXfaA06pVq3jggQd4+OGHOXDgAHPmzOGvf/0rGzduBJRzcPz48SQlJfHvf/+bgwcP8sorr9h74p2rqftt5cqV9OnTh+eee87+eFefptZl8+yzzzJt2jT27dvHhAkTuOWWW9pcbt0kuQsoLi6WAbm4uNjZS+l00/87XR64ZKC8NmOts5fSoJyP98knHv1NLtl0olnbL3n8d3nhnA3y6SNF7XL8717dKS+cs0He38zjO5ulrFLO+Osi+cSjv8kn/vmbXJGS3277rth/QD4YEycfveUlZf+P/iYXrTkqW63WdjtGZyjNz5PfmDZRnn/jZNlUVdWmfeWdOC6/MW2ivODW6zrkfsj/JlU+8ehvcvZbO2Wr2dLu+7crPi3L//KW5Wd8ZbmqvOOO01oZvyvrezZAlguPOW0Z//t3irxwzgb5j/+kd+pxC7LK5IVzNsjv/W2DXFpg7LDjnCmulPs9/qPc99Ef5MPZJR12nM52z7Jdct9Hf5BnfPKHs5ciCM3yx3/S5YVzNsjfv7W7yW13/pQhL5yzQf75o/2dsLLOU1lZKR88eFCurKyUZVmWy6vL5YFLBjrlq7y6+c+LM2fOlKdMmSLLsixfdNFF8uzZs2VZluVVq1bJTb01mjhxovzwww/bvx8zZoz8wAMPOGyzceNGGZALCwtlWZblm2++Wb7qqqsctvnHP/4hx8fH27/v27evPGPGDPv3VqtV7tGjh7xo0aIG1/L666/Lw4YNs3//r3/9S05MTGxw+/Hjx8uDBg1q7Mdr0IABA+R333233vWWl5fLe/bskQH5ySeftG+zdetWGZCzsrJkWZblxYsXy4D8xx9nH+dTUlJkQN62bZssy46/G5sHHnhAHjNmjCzLsrxr1y4ZkDMzM+3XW61W+dSpU/KpU6dks9nc5M9yzz33yNddd539+5kzZ8p9+/Z1uO0NN9wgT58+XZZlWU5NTZUBefv27XXW/dZbb9V7jDNnzsiA/Oabbza6lsOHD8uAnJSUZL8sLy9P1uv18jfffCPL8tn77ciRI/Zt5syZIxsMBrm0tNR+2bhx4+Q5c+bYvz/3nMrKypIB+amnnrJfdu7vqL5z6K233pL79u1r/76p+8t27Nr3DSCvWrXKYb/Lly+X/fz8ZKNRec20a9cuWZIkOSMjo6G7Sx4zZoys1WplDw8PWavVyoCs0+kc7r/61D5/m/v7rL3mjz76SPbz85PLysrs1//444+ySqWSs7OzGzzuL7/8IgcFBckmk0mWZeW+tJ3Ltp/53PPZJj8/XwbkTZs21bvvUaNGyXfeeafDZTfccIM8YcIEWZZlee3atbJKpZJTU1Prvf3ixYtlHx+fBtcuy/X/3Z97zp+7n6bWJctynceKsrIyGZB/+umnetdx7nNNbS2JE4mMLxfn6n2+LGXVVB0tAkA/MKDJ7U1VFsoKlB4A7VHqCGfLHTP2uXa5o03V0TQq/3gPc+4BsED+FwepPNA+DdLdIvqhG3En2j4XA+AzqR8+4yNcss9EY/Jq+nv5hfRC49a2Pk2+ISFIKhWmKiNlBe1/jvhMiEBl0GDKrqDs9w7MzLRlewXFgpsLNjMPH630+7KanJr1VWyf6Ng+vfOayy/Eg56RPsiy0uuro3y76yQWq8ywvn5EBbdu2qkremRcLFq1xOa0PH497Lo9GwUBwGqV7X/nDTW1r82e8ZXRvTO+uqJXX32VpUuXkpKSUuc6i8XC888/T0JCAv7+/nh6erJ27do6mU9NSUlJYfTo0Q6XjR49mrS0NIfStEGDBtn/L0kSISEhDlkoy5cvZ/To0YSEhODp6cmTTz7ZorXIzczqKSsrY968ecTFxeHr64unpycpKSl1jmVbb0VFBUFBQXV+huBgpRS/9s+g0WgYMWKE/fvY2Fh8fX3rvf/rk5iYyBVXXEFCQgI33HADH3/8MUVFRfYslvpKP9977z2GDRtGUFAQnp6efPTRR3V+lgEDBjhkwvTs2dO+7pSUFDQaDcOGna3SsK27Ic29r237vvDCC+2XBQQEEBMT43CfGAwG+vfvb/8+ODiY8PBwe7mk7bJzs5bq+30kJCTUuayxbKf6NHZ/Ndc111yDWq1m1apVgFIyd9lllzmUVdbnlltuITk5maSkJMaPH88TTzzBqFGj7Nc3df625veZkpJCYmKiQ/+60aNHY7VaHbIyz/XZZ58xffp0e3bfTTfdRFJSEunpykCf+s5nW99Bf39/Zs2axbhx45g8eTILFixwyLJq6HHFdt4kJyfTp08fomv6PzeluX/3TWlqXTa1z00PDw+8vb1bfA61lKZD9y60mW2yY2phw39UzmQ8WABW0Pb2RBPQ9BtNWxmS3kuLzrN9ek1FDArij++PcjK1gGqjGTeda5/Wlcl7wWpGpU5GP2gslfvyyP8yBf9pMRgGt745oNVopuCrI2h7D0e2mvEYosLr4t7tuPLOk3uifcocAdQaLb4hvSg8fZL8UyfwCmi6D12L9u+hxWdiPwq/PUzJ+uPoE4LQ+HfA8ABX7e9V29h/QsZvsOffcPHfwa9t/dlao+iM0jvBpxMmOp4r/uJeZB0pJmXLaYZd3RdJ1b4BZ6tVtk9zvHFE121qX5+wAAO3jQzn098zeHlNChdHBqJu5/tPENrLiYMFlBVW4e6hoV9iUJPb9+jrhSRBWUEV5UVVePi2vWGyK9Jr9Gy7eZvTjt0al156KePGjePxxx9n1qxZDte9/vrrLFiwgLfffpuEhAQ8PDx48MEHqa6ubocV12WbTmgjSZK919HWrVu55ZZbePbZZxk3bhw+Pj58/fXXdXqFNSY6Oprff/8dk8lU51i1zZs3j3Xr1vHGG28QGRmJXq/n+uuvr/Nza7VaTCYT1dXV9g9Ya+/Xdllj/ZrOpVKp6gSNagez1Go169atY8uWLfzyyy+8++67PPHEE/z888+EhITU6fP19ddfM2/ePObPn8/IkSPx8vLi9ddfZ9s2x/O0sfu+NYKCgvD19eXQofZJXKhvfc1Zc32/j8Z+R03d/42tp6X3l5ubG7fddhuLFy/m2muv5csvv6zTf60+Pj4+REYqrUa++eYbIiMjueiii7jyyiuB5p+/Ha2goIBVq1ZhMplYtGiR/XKLxcJnn33Giy++2OD5vG3bNiIiIli8eDH3338/P//8M8uXL+fJJ59k3bp1XHTRRU0eX9/C4Wmdfb+1999cc4iMLxcX56/0PjmU75oZXxX7lU/mm9PUHqDwjNKsz7cd35T69TTgHaTHapY5kdLBtcHtoHLvXgD0iYPwvzEWw9AeYIWC5amU7zzTqn1aSqvJ/WgfVUeKQDZTuXUh1hLXDJY2R559omP7BE7O9vnqmMbrhqE9cO/ng2yyUvSfIx0zotpV+3vV1nck9BsLVrNTsr6qjWbKi5SM0s7s8WXTf2gP3HRqSvKMnDrc/pPC/jiaz7H8CrzcNUwc1HBPoa7qvssj8dZpOJRdyordzh2SIAiNOVjTyy/2wp6otU2/lHbTafDvpWRmnMnovn3sJEnCoDU45astme2vvPIK//3vf9m6davD5UlJSUyZMoUZM2aQmJhIv379OHzYcQiHm5ubQ9ZWfeLi4khKSqqz7+jo6Ab77Zxry5Yt9O3blyeeeILhw4cTFRXl0OS6OW6++WbKysp4//33673e1ow/KSmJWbNmMXXqVBISEggJCSEzM7Pe21RUKB9o63TN+8DPbDY7NDRPTU2lqKiIuDjl/U5QUFCd3kHJyckO30uSxOjRo3n22WfZs2cPbm5u/Pzzz/b915aUlMSoUaOYO3cuQ4YMITIy0p5t01yxsbGYzWZ27dpVZ90NUalU3HjjjSxbtozTp+v2/iwrK8NsNhMXF4fZbHYIxOXn55Oamkp8fHyL1tkegoKCyM7Odngde+793xparbbev5M77riD9evX8/7772M2m7n22mtbtF9PT08eeOAB5s2bZ19zU+dva36fcXFx7N2719503nYclUpFTExMvbdZtmwZffr0Ye/evSQnJ9u/5s+fz5IlS+z3R33nsy0LDmDIkCE8/vjjbNmyhYEDB/Lll1/a11Tf44rtvBk0aBAnT56s85jVkOb83bfl8c4Z5/O5RODLxUX5RSEhkVOZQ36la5XyWcpNVKUXAaBPaGbgK7v9JjraSJJERM3xM/e1T8lgRzob+BqMpJLwuz4ajwtDQIbC7w5T9kfLyqTM+ZXkfLAX0+lyVB5a3PqcxJJ7kKpU1wyWNkd7Nba3CejdMQ3ubSRJwndqJKgljKmFVO5v5/NQlmsFvga3777b29jHlX+Tl0FhZqceujhXyfbSeWjROWF6qdZNTfQFIQAcTGr/ckdbU/v/G9wLg5trZ7a2hq/BjXsvVz7Fnf9LKpXVjb+4EgRnqCipJnOv8hgfN7r5Aejgft6AKHd0RQkJCdxyyy288847DpdHRUXZszFSUlKYM2cOZ844fkAZHh7Otm3byMzMJC8vr96MhYcffpgNGzbw/PPPc/jwYZYuXcrChQuZN29es9cYFRXF8ePH+frrr0lPT+edd95xeHPcHBdeeCGPPPIIDz/8MI888ghbt27l2LFjbNiwgRtuuIGlS5faj7Vy5UqSk5PZu3cvN998c70/lyzL9sCXwdC81/VarZb77ruPbdu2sWvXLmbNmsVFF13EBRdcAMDll1/Ozp07+fzzz0lLS+Nf//oXBw4csN9+27ZtvPTSS+zcuZPjx4+zcuVKcnNz7YGzcwNfUVFR7Ny5k7Vr13L48GGeeuope7P15oqJieHqq69mzpw59nXfcccdTWbUvPjii4SGhnLhhRfy+eefc/DgQdLS0vjss88YMmQIZWVlREVFMWXKFO68805+//139u7dy4wZM+jduzdTpkxp0Trbw9ixY8nNzeW1114jPT2d9957j59++qnN+w0PD2fDhg1kZ2fbS/lACZJcdNFFPProo9x0000tzlICmDNnDocPH2bFihVA0+dva36ft9xyCzqdjpkzZ3LgwAE2btzIfffdx6233movFz3Xp59+yvXXX8/AgQMdvm6//Xby8vL4+eefGz2fMzIyePzxx+1/p7/88gtpaWn2c/0f//gHS5YsYdGiRaSlpfHmm2+ycuVK++PKmDFjuPTSS7nuuutYt24dGRkZ/PTTT/Yg8bma83cfHh7Ob7/9xqlTp8jLq/+9TlPrciYR+HJxHloPwrzDANcrdzSm5Ctljj090AY274GqKNs20dGjiS1bJjyxJvC1Px+rtQOybdqJuaAAU83YZv0gpcZeUkn4XhOJ52ilT0jR90cobWavqOpTZeQs2osl34jaX0fQ3YkYBocDYDzkWudLc1ktFvJPKfXkQaHh7bJP/95KWVjB6Y7LItEGGfAaqxyn6L/pWI11x2q3WslpKM8FSQ3BA9tvvx0h7CLod5mS9fXbG516aPtEx+DO7e9Vm63fT/qeHIxlzR8z35TC8mp+PpANwI0jwtptv67mtpHh9PbVc6akik9/P+rs5QhCHYf+yMJqlQmO8Cagt2fTN6gREqEEvrpzxldX9txzz9V5k/fkk08ydOhQxo0bx9ixYwkJCeGaa65x2GbevHmo1Wri4+MJCgqqtx/O0KFD+eabb/j6668ZOHAgTz/9NM8991yd0srG/N///R8PPfQQ9957L4MHD2bLli089dRTLf45X331Vb788ku2bdvGuHHjGDBgAH//+98ZNGgQM2fOBODNN9/Ez8+PUaNGMXnyZMaNG8fQoUPr7MtkMiHLMmq1Gnf35pXvGgwGHn30UW6++WZGjx6Np6cny5cvt18/btw4nnrqKR555BFGjBhBaWkpt912m/16b29vfvvtNyZMmEB0dDRPPvkk8+fPZ+LEiUDdwNecOXO49tprmT59OhdeeCH5+fkNTrVszOLFi+nVqxdjxozh2muv5a677qJHj8bbk/j7+/PHH38wY8YMXnjhBYYMGcIll1zCV199xeuvv46Pj49938OGDWPSpEmMHDkSWZZZs2ZNo+WoHSUuLo7333+f9957j8TERLZv394uAYv58+ezbt06QkNDGTLEsXLh9ttvp7q6mtmzZ7dq3/7+/tx2220888wzWK3WZp2/Lf19GgwG1q5dS0FBASNGjOD666/niiuuYOHChfVuv2vXLvbu3ct1111X5zofHx+uuOIKPv300wbP5/Hjx2MwGDh06BDXXXcd0dHR3HXXXdxzzz3MmTMHUHqkLViwgDfeeIMBAwbw4YcfsnjxYsaOHWs/1ooVKxgxYgQ33XQT8fHxPPLIIw1mbDXnfnvuuefIzMykf//+9r5+52rOupxFkjukJqd9lZSU4OPjQ3FxMd7e3s5eTqd7eNPD/HLsF/4+7O/8deBfnb0cu7zFBzCmFuJ9VV+8r2jeG7Gvn99O/qkyJt4ziPBmZok1h8ViZfE/fqeqwsy184bSM9K33fbdnko3buTk3XNx69+f/j/+4HCdLMuUrM2kdJMSnPEe1xfvyxq+X41HCsn/PAW52oK2pweBswei9nLDlJPDkUvHgEpFzO5dqJqZfu4q8k+dYMnf70brruO+Jd8gNWOkcVOyjqTy5RMP4+Hrx98+/KIdVlk/2WTlzILdmPMq8RjZE78pke2z45QfYPkt0GMAzN3SPvvsSCe2w6dXKYG6+3aBf0SnHHbnmgy2rc4g9qIQrpjlvJTq5S9uJ+9EGRdPiyLx8vbpxfXZ7xk898NB4nt68+P9F3e5gRUt8Z/kUzzwdTKe7ho2/WMsgZ7dsx+S0PXIssyXz2yj6EwFl82IbVZje5uCrHK+enYbGq2KO9++FJW663/2bDQaycjIICIiotmlbkL3IMsyeXl5mEwmvL29HZqsN2TJkiU8+OCDjZaUtZbVaiU7W/lwKCQkBFU7vHYUOsfzzz/Pt99+y759+5y9FMFFNfZc05I4kXhU6ALiApSUxpSC5k086QzWSjPGI0VA88scrVaZopqJa34h7dt/R61WETbANt3Rdcsdz5Y5Jta5TpIkvMeF432lEuwqWXuM4l8y6+0XVbE3h7zFfyJXW3Dv50PQnEGovZTph5qgINT+/mC1UpV2pAN/mo5hK3MMCA1rl6AXnO3xVV5UiLG8rF32WR9Jq1JKHoHyP7KoOt5On+zbGtu7cn+v2kIvgP5XgGzp1KyvohznNbavLb4me/Pg76fbpd+bLMssrylzvOmC0G4d9AKYPKgXCb19KKsys2B9mrOXIwh2WUeKKTpTgcZdTeTwlg2j8Qs24KbXYDZZyT9V3vQNBMGFmUwme9Pz1pSntTeVSmUPdp2b9SW4prKyMg4cOMDChQu57777nL0c4TwgAl9dQIxfzWTHAtcpXas8mA8WGU2wAW0zm0iXFRixmKyoNBJezZgA2VIRg1y/z1djgS+oCX5d2Ref8eEAlP7vBMU/ZTi8eS5NOkXBV6lgkdEnBBI4eyCqWpMsJUnCPUYZXdsV+3zlncgEILCdyhwB3A0eePr5Ax3X4N5G199XGVggQ9HKI8iWdphQ0lX6e9V22T+Vf/d+BQWdU7JmL3V0QmP72qIvCEatVVFwupyczNI272/PiSJSz5Si06r4v8Fdc1JrS6hUEv+coHzg8+X246TndlywWhBawtbUPmp4jxZPkJZUEsHhXgCcEX2+hC7O1uRbr9c3u0F/R9NolL9JEfjqGu69916GDRvG2LFjW13mKAgtIQJfXUCsfywAmSWZVJornbwaReUBJbjU3GmOcLaxvW8PA6oOGFMfNsAflUqiMLvC/gbYlcgWC8Z9+wHQD64/8GXjNSYUn8n9ACj77RRFq9ORrTLFP2dQ/F8liOAxsif+N8Uiaer+GetilHOmK/b5sk10DGqniY42/rYG9x3Y58vGZ0IEKoMGU3Y5ZUl1p/m0iCzD6WTl/10l4wugz3CIvKpTs75sGaXO7PEF4G7QEjlUyQY52NbfP7B8u5LtNSGhJz76zu/54Qwj+wdwRWwPLFaZV3/qegF8ofupqjCRvisHOJvV2VLBEUpPn2zR50vowiwWC5WVyvsRD4/m9+ydNWtWh5Q52th6Ytky0QTXtmTJEqqqqli+fLnLBE+F7k0EvrqAIEMQAboArLKVtELnl31YjWaMh5WJHIZBLQl8KZ8OtXeZo427QUuvaF8AMtt7ql47qEpPx1pejmQw4B7ZdO8nr9G9lbI5Ccq3ZnHmrV1n+3/9pS++/9cfqYEAonuskiVYdajrvWFs74mONvYG9x002bE2tacbPhOUvlYl645hLjS2fmfFJ6EiD1QaCB7QTivsJLYJj3u/hvyWjQ9vKWOZiapy5VNenyDnZnzB2WlvaTvOUN2GQQdlVWb+u08JnnXnpvb1eWx8LCoJfjl4hu0ZBc5ejnCeS9txBrPJin8vD4IjWtdvNlg0uBe6AVvQS6PROKUBe0NExpcgCI0Rga8uwpb1dajA+YEM46ECpcwxSI+mBSVFhWds/b3ad6JjbbaG+a5Y7mgvc0xIQGrmJxueF/bE7/pokMCcWwkS+F0XhfflYY32+dHF1mR8paa2S4+hzmIyGinKUZqTtnvgq1fnZXwBGIYF4xbhjWyyUvSf9Nb/Hmz9vYLiQOv8Phot0mcYRP2lJuvr9Q49lC3by9PPHa278z857BXli0+QHlOVhSM1WSKt8d+9p6mottAvyIMR4X7tuELXFxXsxfSaYN9La1K61GOZ0P0cTMoClGyv1vbZC6nJ+Co6U9GuU18FobPIsmwvc/Tw8HCpnpMi8CUIQmNa1qBAcJoY/xiSTie5RJ+vippsKn1CYIue8IpspY4d2Hg6fFAgv3+bxukjxRjLTeg8XOeTqKb6ezXEY1gwKnc1pb+fwmtMH/RxAU3exr1fP9BqsZaWYj59Gm3vrtEXKO/kMZBlDD6+GLx92nXfnZnxBUqvNb+pUZxZsBvjoQIqD+RjaM0k067Y36u2sY9B2i+wbzlcMg8C22nS5TlsgS8fJ/f3spEkifiLe7F1VTopSadbXRr1dU1T+xtHdP+m9vV56Koo/pN8iuQTRfy4P4tJg1p3PwodpLocTu4EuR16Gbqw3DMyucdBpYboHmmQ3ozBMWot9BkBmrNTSXWeWnx66CnOqeRMZgl9Bzb9fC4IrqS6uhqLxYIkSS7R1L42W+DLYrFgtVrFZEdBEByIwFcXEeevNPp1dsaXtcqCMVUpc2xJfy/o+FJHAJ8gPf69PCg4Xc6xA/nEXBjSYcdqKaM98DWoxbfVDwxs0f0tubnh3q8fVampGFNTu07gq4PKHOFsj6+iM9mYTSY0nZCer+1hwGtMH0r/d4Ki/6aji/J1GETQLPb+XoPbe3mdo/cwiL4aDv8Mv70G137UIYexN7Z38kTH2mIuCuGP/xwl+2gJ+afLCOjV9Lj32lKySth7ogitWuLaoX06aJWurYeXjrsu7cfb69N47edUrooPxl3j/Iw+ASjMhCWTofi4s1fS4VJK7gQm0E+7Gf2KN5t/w+GzYdJbDheFRPhQnFNJdkaxCHwJXU7tpvauFlhSqVRIkoQsy1gsFpdbnyAIziUCX11EjL/Ss+lw4WEsVgtqlXNe+BsPFYDZiiZAh7Zn80sWjeUmKkuVtP6OfmMaMSiQgtPlZO7Lc5nAl6W0lKojSo8j/aCWB75aQxcbowS+Dh3C6/LLO+WYbdVRje0BPP0CcNPrqa6spCj7NIGh7X+M+nhfFkbl3lzM+UZKfjmG7//1b/6NZblWxlcXamx/rrGPKYGv/d/Cpf+AwKh2P0TRGaXniG8P1/kE2sPHnfCEADL25pGSlMXFN7Ts515ek+11VXwwgZ7uTWzdfd15ST+WbTvO8YIK/v3HcW6/OMLZSxIKMmDpZCg+AYYA8HSN59qOYLZqSM25DID4nkfAqxm9Fk0VUJgBx7bWuSo4wpvUbdmiz5fQ5VgsFoxGpWdpS5radxZJktBoNJhMJsxms0v1HxMEwflE4KuLCPMKQ6/RU2mu5FjpMfr59HPKOuzTHFta5njmbP+dlo4Ab6nwQYHs+vkYx//Mx2K2oq5n6mFnM+7fD7KMtndvNEFBnXJM95hYYDVVXWiyY96JTAACQ8Pbfd+SJOHfqw/Z6WkUnD7ZaYEvSavCd2okeZ8coGzraQxDeuAW6tW8GxefgMoCpbF9jy7W2L62XkMgZgKkroFfX4PrPm73Q9gnOrpIqaNN/MW9yNibR+q2bEZe0x+1tnmPR0aThZW7lX5008+zpvbn8nDX8Peronl85X7e/V8a1w/rc95Mt3RJBUeVTK+SkxAQCTN/AO+ezl5Vh0nflk31gYN4Bejo84/PoTlTqYtOwNsDIf8IWExK2WONkH5KGX9OZgmyVW5wSI0guJqKCuV5VqvVumxQqXbgSxAEoTbnRwSEZlGr1ET7RQNwKN855Y7WaouS8QXoE1oWvLGVOXZGGVJwuDd6Ly3VRgun04o6/HjN0dr+Xm2hq5nsaEx1/kCE5srtwFJHqNXn62Tn9Pmy0UX6YRjSA2QoXJmGbGlmk25btlePeNDqOm6BnWHMo8q/B76D3MPtumtZlinOcb1SR4CweH88fN0xlpnIaMHQjZ8PZFNiNNPbV88lka3oDdfN3DCsD1E9PCmqMPH+xmb0VxI6RsFRWDKpJugVBbN+7NZBL4CDvytTVeNH92x+kMqnD7h5gdVUZ6Ktf28PNFoVVRVme8BeEFzduU3t2yIzMxNJkkhOTm6HlTmyBeRMpu4zPCI8PJy3337b2ctwilmzZnHNNdc4exlCNyECX12IfbJjoXMCGcbUQmSTFbW/Dm2vlj3pFWZ3/ERHG0klET5IeaPYkjeaHakyuSbwNbjzAl/uNZMdTcdPYK15seLKyosKqSwpBkkioE9ohxyjsyc71uYzMQJJr8GUVU7ZllPNu1FX7+9VW6/BEDNRaYL966vtuuvyomrM1VYklYRXoGsFCFVqFXGjlMDAwaTTzb7d1zuUvknThoeiEhkhaNQqHp+gPKYt3pLJyUIRMOh0+emweCKUnILAaCXo5dV9SxxByVY/nVaEJEHsyBYE+CQJgpQPn8hNcbhKrVYR1FfJ+s0+KsodnWHWrFlIkoQkSbi5uREZGclzzz3X5iwhV3+TPnbsWCRJ4pVXXqlz3cSJE5EkiWeeeabe2xqNRqxWK5IkodO17Xk2NDSUrKwsBg4c2Kb91KejJjs+88wz9nNGo9EQHh7OQw89RFlZWbsep7WOHDnCuHHj8Pb2xt/fn/Hjx5Obm9vs21dWVuLv709gYCBVVVUduNKWWbBgAUuWLGn29h0ZVHXF4wotIwJfXYitz5ezJjvayxwHtqzMEWoHvjonGyO8Znpe5r48ZLmZ2TUdRJZlKvftAzo340vj7486KBBkmaq0tE47bmvZGtv7hfRE694xwQv/moBafidNdqxN7emG7wSlN1HJumOYi4xN36g79Peqbexjyr8HVkBO+wXwbVkT3oE61GrXe1qzBb5OpBRQklfZ5PYZeeX8cbQAlQQ3DD8/m9rX57KYHozsF0C12coba7tOCXe3kJ8OSyZC6WkIjKkJegU7e1UdLmWLEqwOGxCAp18Ln5d6KIHa+h7rQiKUcsczGcVtWp/QeldffTVZWVmkpaXx8MMP88wzz/D666+3al+2KYJdQWhoaJ1AwqlTp9iwYQM9ezYc3LWVORoMhjY3jVer1YSEhNiDVO2pduCrOa//W5IZNmDAALKyssjMzOTVV1/lo48+4uGHH271WptSXV3d7G3vuusu8vLy+PXXX9m6dSvTp09v0fufFStWMGDAAGJjY/n+++9bsdqO4ePjg6+vr7OXIXQTrvcOQWhQrF9NxlfBoU4P5sgmC8aUfAAMCS0vu7FPXOukwFdonD9qrYrSfCMFp52b7WQ6cQJLYSGSVot7XFynHlsXo5wzxi7Q56sj+3vZ1M74kp3wItUwLBi3cG/kaitF/0lv/O9YliErWfl/z8GdsbyO13MQxE4C5HbN+nLFiY61eQfq6RPrBzKkbM1qcntbU/sx0UH08nWdZv3OJkkS/5ygPIZ+n3ya/SdF0KBT5B2pCXplQVAszPoBPHs4e1UdzmKxkrI1G4D40b1avoOgmuf7czK+AIL7eQOQLRrcO427uzshISH07duXu+++myuvvJLVq1cDUFhYyG233Yafnx8Gg4Hx48eTVusDxCVLluDr68vq1auJj4/H3d2d2bNns3TpUv7zn//YM4M2bdpkzwRZuXIll112GQaDgcTERLZudRx8YAs8uLu7Ex4ezvz58+3XPffcc/VmRw0ePJinnnqqRT/3pEmTyMvLIykpyX7Z0qVL+ctf/kKPHo5/11VVVcybN4/evXsTGhrKpEmT2Llzp/36Y8eOMXnyZPz8/PDw8GDAgAGsWbPGfh/ecsstBAUFodfriYqKYvHixUDd7JhNmzYhSRIbNmxg+PDhGAwGRo0aRWqq42vXF154gR49euDl5cUdd9zBY489xuDBgx22Wbx4MWPGjKFfv37ExcXx/vvv26+zHXf58uWMGTMGnU7HsmXLmn3faTQaQkJC6NOnD9OnT+eWW26xnzNWq5WXX36ZiIgI9Ho9iYmJfPfdd/bbWiwWbr/9dvv1MTExLFiwwGH/tozBF198kV69ehETE9PstalUKsaNG8eQIUOIiYlh1qxZdX6fjfn000+ZMWMGM2bM4NNPP3W4TpZlnnnmGcLCwnB3d6dXr17cf//99uvff/99oqKi0Ol0BAcHc/3119uvq6qq4v7776dHjx7odDouvvhiduzY4bD/P//8k0mTJuHt7Y2XlxeXXHIJ6enpDveJzc8//8zFF1+Mr68vAQEBTJo0yb4tQESE8gHzkCFDkCSJsWPH2q/75JNPiIuLQ6fTERsb63BuVFdXc++999KzZ090Oh19+/bl5Zdfbvb9d67mntP//e9/GTFiBDqdjsDAQKZOndrqYwpNE4GvLiTKLwqVpKLAWEBuZfPTV9uD8XAhcrUVta872j6eLbqtxWylOFfJcvAL7pwpMFp3NaGxfgBk7HVuuaOtv5cuPh6Vm1unHrsr9fnKrZnoGNgBEx1tfIN7olKrMVdVUVrQ+eeFpJLwmxoJagljSgHGP/Mb3rjoGFQWgkoLwV24sf25bFlff66CnLpvCFvD3tg+yDUDX6A0uQc4tCULq7XhgKfJYuW7XaKpfUMS+vhwzWDlvnxpTYrTM3q7vby0WkGvOKWR/XkQ9AI4tj+fypJq9F5a+g4KaPkOmpHxVXCqjGpj92nCLcsy1ooKp3y19bFAr9fbM2xmzZrFzp07Wb16NVu3bkWWZSZMmOCQHVRRUcGrr77KJ598wp9//sk777zDtGnT7JlkWVlZjBo1yr79E088wbx580hOTiY6OpqbbrrJXo63a9cupk2bxo033sj+/ft55plneOqpp+yZWbNnzyYlJcUhYLBnzx727dvHX//61xb9nG5ubtxyyy32IBQogbzZs2fX2fbee+9l69atfPrpp6xfv54pU6YwceJEexDwnnvuoaqqit9++439+/fz6quv4umpvEd46qmnOHjwID/99BMpKSksWrSIwMDGPzh/4oknmD9/Pjt37kSj0TisadmyZbz44ou8+uqr7Nq1i7CwMBYtWuRw+2XLlvGvf/2Lf/7zn2zatMl+Py5dutRhu8cee4wHHniAlJQUxo0b16L7r7ba58zLL7/M559/zgcffMCff/7JQw89xIwZM/j1118BJTDWp08fvv32Ww4ePMjTTz/NP//5T7755huHfW7YsIHU1FTWrVvHDz/80Oy1TJkyhffff5/du3e3+OdIT09n69atTJs2jWnTprF582aOHTtmv37FihW89dZbfPjhh6SlpfH999+TkJAAwM6dO7n//vt57rnnSE1N5eeff+bSSy+13/aRRx5hxYoVLF26lN27dxMZGcm4ceMoKFB6Rp86dYpLL70Ud3d3/ve//7Fr1y5mz57dYKlqeXk5f//739m5cycbNmxApVIxdepUe8bl9u3bAVi/fj1ZWVmsXLkSUM6Np59+mhdffJGUlBReeuklh3PjnXfeYfXq1XzzzTekpqaybNkywsPDW3xfnquxc/rHH39k6tSpTJgwgT179rBhwwYuuOCCNh9TaJiY6tiF6DQ6IrwjSC9O51DBIXoYOu/FZ+X+1pc5FudWIltltO5qPHw7L/ATPiiQzP35ZO7PY/iE8E477rmc0d/Lxr0m46srTHbM6+DG9gBqjQbf4J4UnD5JwamTeAd2/hs4bbAHXpf2oXTjCYpWp+Me5YvKvZ6HYluZY3A8aNw7d5EdKSQB4iZDyn+VrK8blrR5l8X2jC/XzY7qlxiEu4eGssIqThwsoO/A+t9Ib0jJIa+sikBPd66IOz8CDC01b1wMaw5ks/VoPhtTc7g8tvuX3DlF7mFYOgnKzigDNmb+FzzOn0ELtp58sSN7tq6E2pbxVZAO5mrQnH394+HrjqefO2WFVeQeK6V3jF97LNnp5MpKUocOc8qxY3bvQjK0/MMPWZbZsGEDa9eu5b777iMtLY3Vq1eTlJRkD1wtW7aM0NBQvv/+e2644QZAKZF7//33SazVwkKv11NVVUVISN3ed/PmzWPixIkAPPvsswwYMIAjR44QGxvLm2++yRVXXGHP3oqOjubgwYO8/vrrzJo1iz59+jBu3DgWL17MiBEjAMfMppaaPXs2l1xyCQsWLGDXrl0UFxczadIkh/5ex48fZ/HixRw7dgy1Wo3VauWRRx5h8+bNLF68mJdeeonjx49z3XXX2YMgtddy/PhxhgwZwvDhwwGaFUR48cUXGTNmDKAEpyZOnIjRaESn0/Huu+9y++232wN9Tz/9NL/88otDj61//etfzJ8/n3HjxmE0Ghk4cCBHjhzhww8/ZObMmfbtHnzwQa699toW32+17dq1iy+//JLLL7+cqqoqXnrpJdavX8/IkSPt98Xvv//Ohx9+yJgxY9BqtTz77LP220dERLB161a++eYbpk2bZr/cw8ODTz75BLcWfFD+v//9j8cee4xnn32WSZMmsXz5ci655BJACVrNmjWL0tLSBm//2WefMX78ePz8lMch27lmOx+OHz9OSEgIV155JVqtlrCwMHuA5vjx43h4eDBp0iS8vLzo27cvQ4Yo7TnKy8tZtGgRS5YsYfz48QB8/PHHrFu3jk8//ZR//OMfvPfee/j4+PD111/bBxNER0c3uNbrrruuztqDgoI4ePAgAwcOJChIGb4WEBDg8HdoOzdsv/eIiAgOHjxoPzeOHz9OVFQUF198MZIk0bdv+3wI39g5/eKLL3LjjTc6nBeJndgS53wkMr66GGf0+ZLNVipTbNMcW1HmWKu/V0uDZm1ha3B/JqOE8mLnNWp0xkRHG1vGV1VqqlNK+5rLarWQf1Jp5t2RpY5Qa7KjE/p82XhfHoo6QIelpJqSX47Vv5G9sX036e9V2xhb1tf3cOZgm3dXlKNklPq4aKkjgFqrIuZC5UVYY03ul9c0tb9+WB+0LtivzBX08TPw11HhALy85hBmi+s+tnVZuam1gl4DzrugV1lhFccPKBm5rSpzBPDuBe7eYDVDft1JpME1WV/Zos+XU/zwww94enqi0+kYP34806dP55lnniElJQWNRsOFF15o3zYgIICYmBhSUs5mKbu5uTFo0KBmH6/2trZeWjk5OQCkpKQwevRoh+1Hjx5NWloaFosFgDvvvJOvvvoKo9FIdXU1X375Zb1ZWs2RmJhIVFQU3333HZ999hm33nprnX5b+/fvx2KxEBMTQ//+/YmKiiIoKIhff/3VXlp2//3388ILLzB69Gj+9a9/sa+mny3A3Xffzddff83gwYN55JFH2LJlS5Prauw+Sk1NrZMNU/v78vJy0tPTuf322wkLCyMqKoqQkBBeeOEFh1I4wB6Ma6n9+/fj6emJXq/nggsuYOTIkSxcuJAjR45QUVHBVVddhaenp/3r888/dzj2e++9x7BhwwgKCsLT05OPPvqI48ePOxwjISGhRUEvUAIq99xzD/PmzePTTz9l8uTJ/Pe//7Wv+eKLL27wthaLhaVLlzJjxgz7ZTNmzGDJkiX2LKobbriByspK+vXrx5133smqVavsGVlXXXUVffv2pV+/ftx6660sW7bM3g8uPT0dk8nkcG5rtVouuOAC+99ScnIyl1xyiT3o1ZS0tDRuuukm+vXrh7e3tz2geu79WFvtc6P276f2uTFr1iySk5OJiYnh/vvv55dffmnWeprS2DmdnJzMFVdc0S7HEZpHZHx1MXH+cazJWENKQfuUCDWHMa0QucqC2tsNt1CvFt++8IzSY6uz+nvZePi406OvFznHSjm2P99eatSZrEYjxkNKmYMzAl9uERFIbm5YKyownTyJW5hrlk4Vn8nGXF2Fxs0d33o+KW1P/r37wA7nTHa0kbRq/K6JJO/TA5RtOY1hSA/c+pzzt9XdGtvXFjIQ4qfAwf/Ar6/AtM9bvSurxUpJTSm1bw/XDXyB8gZ63/9Okrk3j4qSagzeji9uTxdV8uthpYx9+oiOmWzaXcy9LJLlO0+QllPGt7tOctMFrvnY1iXlHIKlk6E8B4IHwm2rwaMVpX5d2KGtWcgy9IrybX3vQElSeqKd3K70+QqOd7g6pJ836btzONON+nxJej0xu3c57dgtcdlll7Fo0SLc3Nzo1atXixut6/X6Fn2YW/uNve12LWmIP3nyZNzd3Vm1ahVubm6YTCaHXkotNXv2bN577z0OHjxoLw+rraysDLVazbp167BarXh4eNjLGG3/3nHHHYwbN44ff/yRX375hZdffpn58+dz3333MX78eI4dO8aaNWtYt24dV1xxBffccw9vvPFGg2tqy31ky/z6+OOPGTRoECUlJWg0GgICAlCr1Q7beni0ru1KTEwMq1evRqPR0KtXL3uAKjMzE1BK13r37u1wG3d3JWP/66+/Zt68ecyfP5+RI0fi5eXF66+/zrZt29q8tn379vHQQw8BMH78eD799FNuuOEGFi5cyJIlS3jttdcavO3atWs5deoU06dPd7jcYrGwYcMGrrrqKkJDQ0lNTWX9+vWsW7eOuXPn8vrrr/Prr7/i5eXF7t272bRpE7/88gtPP/00zzzzTJ0+Xg3Rt/DvdvLkyfTt25ePP/6YXr16YbVaGThwYKODAGqfG7UD2oD93Bg6dCgZGRn89NNPrF+/nmnTpnHllVc69GlrjcbO6Zb+7ELbiY+TuxhnZHw5lDmqWp6xZZ/o2En9vWqLSFQ+oc7Y55w+X8aDB8FsRh0UiKZX5wfeJI0G98hIZS2HXLfPl63MMaBPKCqVuomt2yagt/MmO9ami/JDPzgIZChcdQTZUqs/SXdsbH+uMY8BkhL8yj7Q6t2U5BuxWmU0WhWevq5dEhrQ25PgCG+sVplDf9Rtcv/tzpNYZbionz8RgZ3/eNmV+Oi13Hd5FABvrjtMeVX36ZPkVDkpSqZXeQ4EJ9Rkep1fQS/ZKtunOcaPbnjKXbM00ufrbMZXSbfpVSdJEiqDwSlfLa0o8PDwIDIykrCwMIegV1xcHGaz2SEgkZ+fT2pqKvHx8fXtys7Nzc2eodUScXFxDs3mAZKSkoiOjra/MddoNMycOZPFixezePFibrzxxja9cb755pvZv38/AwcOrPfnGjJkCBaLhezsbCIiIkhISCAyMpLIyEiHErLQ0FD+9re/sXLlSh5++GE+/vhj+3VBQUHMnDmTf//737z99tt89NFHrV5vTExMnWBK7e+Dg4Pp1asXR48eJTY2loiICMLCwujfv7+94Xlbubm5ERkZSXh4uENWlm3AwfHjx+33ke0rNFR5zWkrnZ07dy5DhgwhMjKyTiZaa/Xu3ZvffvvN/v11113Hhx9+yF133YWvr6+9PLc+n376KTfeeCPJyckOXzfeeKNDk3u9Xs/kyZN555132LRpE1u3bmX//v2Acm5eeeWVvPbaa+zbt4/MzEz+97//0b9/f9zc3BzObZPJxI4dO+zn3KBBg9i8eXOzpmva/g6ffPJJrrjiCuLi4igsLHTYxvZ7qf13WPvcOPf3U/vc8Pb2Zvr06Xz88ccsX76cFStW2HuRdYRBgwaxYcOGDtu/UJfI+OpiYv2VF1HHS49TbirHQ9uxb45ks5XKg0q6f2vKHOHsxDW/Ts74AqXccdvqDE6mFGCqtqB169igyrns/b0SEzu1zLM299hYjAcPKn2+/vIXp6yhKfbG9h1c5gi1Jjuecl7Gl43vxH4YDxViOlVG2dbTeF1c80lhYQYYi0HtpvTW6Y6C42HANUqT+19fgen/btVubI8vPj30rQrMd7b40b04k1FCSlIWQ64Ksz8uWKwy3+xUgrE3iqb2zXLrRX1ZuiWT4wUVfLz5KA9e2XBfEKEZzhxUMr0q8pRefLetBoO/s1fV6U4eLqQkz4ibXkO/oW3ss9fIZMegUE9UaonKkmpK8414B4pP/11BVFQUU6ZM4c477+TDDz/Ey8uLxx57jN69ezNlypRGbxseHs7atWtJTU0lICAAHx+fZh3z4YcfZsSIETz//PNMnz6drVu3snDhQoepc6BkWMXVTAc/N1DWUn5+fmRlZTVYYhYdHc0NN9zAAw88wPPPP8+ll15Kbm4uGzZsYNCgQUycOJEHH3yQ8ePHEx0dTWFhIRs3brSv7+mnn2bYsGEMGDCAqqoqfvjhB/t1rXHfffdx5513Mnz4cEaNGsXy5cvZt2+fQ1+xZ599lvvvvx9vb2+GDh1KdXU1a9asobi4mL///e+tPnZTvLy8mDdvHg899BBWq5WLL76Y4uJikpKS8Pb2ZubMmURFRfH555+zdu1aIiIi+OKLL9ixY0e7BOUeeeQR5s6dS0hICNOnT6e4uJitW7diMBg4dOgQSUlJ9ZY75ubm8t///pfVq1fXmRp62223MXXqVAoKCli9ejUWi4ULL7wQg8HAv//9b/R6PX379uWHH37g6NGjXHrppfj5+bFmzRqsVisxMTF4eHhw9913849//AN/f3/CwsJ47bXXqKio4PbbbweUAQrvvvsuN954I48//jg+Pj788ccfXHDBBXWmWvr5+fH/7J13eFP1/sdfJ0mTNE33pGUUaGnL3tMfG0EvCgoXBUTrRcU98SpuxYUXcV63AioqDlS8ICpoUYpsaBmllEJp6d6lIzu/P04TWkp30rTlvJ4nT9PknPP9Jk1Pznmf9+f98ff354MPPqBLly6kp6fz6KOP1lomKCgId3d3tmzZQteuXVGr1Xh7e9s/G97e3syYMQO9Xs++ffsoLi7mwQcfZNWqVXTp0oUhQ4Ygk8n45ptvCAkJwcfHp9V/n/p4+umnmTJlCr179+b666/HZDKxefNmHnnkEQCWLVtGZmYmn37a8qoIidpIjq8Ohq/al2CNGOTbFq4vXWoJVp0ZmacSZQ+vZq9vtVrtjq+2LnUE0WGh9VNhMlo4e7y48RUcjD3fa6DrwgrPd3ZsvwH3BRlpgHM7OtrwCxOFr8rSEnQ1QlFdgdxTiXd144WyX89gKqnOorPlewX3qxWI3OmY8AggiEH3OYdbtInSvI5R5mgjYngQCpWcktxKsk+ez/bZcbKAzJIqvN3dmNHfueW+nQWlQsa/Z4j7tw/+PEXeOZ2LZ9SByT1aQ/QaeMmKXgBJO0S3V5+Rwa2/WNaA40uhlBNQ3SW7M5U7dgZWr17NsGHDmDlzJmPGjMFqtbJ58+ZGc4huvfVWoqKiGD58OIGBgU0Wp4YOHcrXX3/NV199Rf/+/Xnqqad47rnniI2NrbVcZGQkY8eOJTo6uk7JVlxcHIIg2MvumoKPj0+9pXUWi4WVK1cyd+5cnn76aaKiopg9ezZ79+6le3Vshtls5q677iImJoYZM2bQp08fu1inVCpZtmwZAwcOZPz48cjlcr766qsmz+1CFi5cyLJly1i6dKm9LC02Nha1Wm1f5pZbbuGjjz5izZo1TJ06lblz57JmzZomiUuCINi7aLaE5cuX8+STT/LSSy/Z349NmzbZx16yZAnXXnst1113HaNGjaKwsJA777yzxePVZMmSJaxfv56ffvqJYcOGcfXVV2MwGDh+/DiLFi1i9uzZ9k6cNfn000/x8PC4aM7UlClTcHd35/PPP8fHx4cPP/yQcePGMXDgQLZu3cpPP/2Ev78/Pj4+bNiwgcmTJxMTE8N7773Hl19+Sb9+Yjfyl19+mTlz5rBo0SKGDh3KyZMn+eWXX+xB+v7+/vz++++Ul5czYcIEhg0bxocffnjR/zWZTMZXX33F/v376d+/Pw888AD/+c9/ai2jUCh48803ef/99wkNDbWL1bbPxurVqxkwYAATJkyo9dnw9PTklVdeYfjw4YwYMYK0tDQ2b96MTCZKJbGxsUycOLHlf6SLMHHiRL755hs2btzI4MGDmTx5cq2y4+zs7AazyySaj2DtAP7qsrIyvL29KS0txcur+eJLZ+PubXez/ex2lo1cxoKYBU4dq+jbE1Tuy8VjTBd8Z0U0e/2KUj1rHolHEGDJmxORu7W91vrnVyc4HHeWvuO6MGlRy682tYSUiZMw5eTQfe1aPEa5pkVtxe49pN90E25hYURs2+qSOTTGJ/cvoTg7kzmPLyd8oPMzrd6/4ybKiwqZv/w/hPZp28/EhVgtVvLfT8Rwpgx1X38CbuwLvz4JO9+E4f+Cma+5dH5O55ub4egGiJ4J169r9urbv0zmyPZMhs7owZjZvZ0wQcfz+2dJJMVnEz06hCmxoqPvjs/38/ORHGLHhvPM1f1cPMOOg9Vq5Zp3dnIoo4T5I7vz0rUDXD2ljkfOEfj0aqgshC6DYNEPl6zopSs3svrRHVhMVuY9NoLA7s3PNa1FWTasigZBDo9n1+nQ++f6Exz+4ywDJ3fl/+Z1PMeiTqfj9OnT9OzZs5YAIeEcrFYrkZGR3HnnnXUcTLZOi8eOHWtyUHhDVFRUUFpailwuJygoyGVVCw0xbdo0QkJC+Oyzz+o8V1hYiF6vx9vbu9HcrNOnT9s7aUZGRjpruhIdmAkTJjBp0qRanU8l2o6GvmuaoxNJjq8OiD3nq9i5Dh6r2YLOVubYv4VljtVuL68Ad5eIXgDhA8V8krTDhVgtbafzGnNyMOXkgEyGe3/Xnciqo8SDaWNmJuYG2hm7CqNBT0mOmHcU2D28Tca0lTu6OucLQJAJ+F4TATIB3bFCqo4WdP58r5rYXF/H/wfZiY0ufiG2UseO4viC813iTu7PQ19loqBcz2/HcgEp1L65CILA4/8Qxev1e9NJyW1/+7h2Tc7haqdXobi/ufHHS1b0AkjenYPFZCWgm7b1oheAZwiovMFqhoK6jovgcPEgXXJ8STRGfn4+b7/9Njk5Odx88811nt+8eTMvvviiQ0Qvq9VKRYXYmMrDw6NdiF6VlZWsWrWKo0ePcvz4cZ5++mm2bt3KTTfddNHlbblttu6DDbF582Zuu+02SfSSuCilpaWkpqaydOlSV09FopVIwlcHJMZPPMhPKnRuZ0d9aimWShMyDzdUPZuWU3AhxbmuK3O0ERbpi5taTmWZgbwzbXdSVJUgnsSr+vRB1sIOMo5A7uODojqIVH/ihMvmUR9FZzOwWi24e3qh8fZpkzH9qgPu20POF4BbiAee40UxrmRjKpbMalG7M3Z0vJCgaOg/R7wf93KzVy/Jq97HtLTzmgsI7umFX6gHJqOFlL25bDhwFpPFyqBuPsR0kVzNzWVEuB/T+wVjscJLP7ffJh7tjuxEWHs1VBVB6FBR9HL3dfWsXIbVauVYvC3U3kHNaAThfLljft3PZkgv8f89P+McZmPTO/xJXHoEBQXx3HPP8cEHH9jLxGryzTffNBhi3hyMRqNdMGovnecEQWDz5s2MHz+eYcOG8dNPP/Hdd98xderUiy7fHOHrrrvu4r///a9D5yvRefD29ubs2bP2bqYSHRdJ+OqA2BxfJ0tOYrQ03gWjpVQdsXVz9G9xaHRxjnjFyNeFJ6VyNxnd+4qur9OJ+W02rj3fa5Dr8r1sqKsDIttjZ0d7sH338Da7qmjL+SpqB44vG56TuyH3U2MuNVBWcRXIVRDk2jLMNmPCIyDIIHnT+XyzJmAymCkvEnPRfILax8F5UxAEwX5ifWxHFl/ttYXaS26vlvLIjGgUMoHfj+exM9U1XXw7FNkJYnljVRGEDYNF34O7j6tn5VJy08ooyqpA7iajz8hgx204sH7hyyvAHbXWDYvJSn6G5FaUqB+r1Up+fj4LFjg34gSwu73c3d3tXSVdjbu7O1u3bqWwsJCKigoOHDjAtddeW+/yNuGrKd0CJSQkLg0k4asDEqYNQ+umxWgxcrr0tFPGsJqtYskVLS9zhPOljr4hrnM8AfQcJL6GtMTCNhuzKrH9CF+qaPHAW3+8/QXcF9iFL+cH29vwtzm+stqH4wtAppTjO1vM0Ss3X4XBdxrIW1+y0CEI7AP954r3m+H6Ks0Xg+1VGgVqbcd6r/qMCkamEMhPP0d5diUapZyrBjnIZXIJ0itQy4JRYuDyi5uTsLRhWXuHI+tQtdOrGMKGS6JXNbZQ+4ihQag0Dtyf2C5g5NV16QuCQEhPqdxRov1gNpupqhK/WxvLxmrP2IQvi8WCxSK5KSUkJCThq0MiE2R219fxIuc4ePSnS7FUmJBpFKh6+bR4O67s6FiTHv38EQQozCynrKDK6eNZjUZ0R44C4D7Y9cJXe+7sWJBxBoCAbuFtNqYt46s0NxeTwdBm4zaGuo8v7kHZgJzikuvaNJPO5Uz4t+j6OvEzZB1s0iq2MkfvIE27yCBpDu5aJb0GBQIwwKDgqoGhaFUKF8+qY3PflEi0KgVHMsvYmJDl6um0T7IOwqezQFcCXUfAog2gblmUQWfCoDNxYl8eAH0v6+LYjTfg+AIIro6SyDldetHnJSTaEpvopVAoHJIX5irkcrm9I19Tyh0lJCQ6P5Lw1UGJ9hMPpJwlfNnLHPsFIMhbdkJpNJg5VyS2l/d1sfCl1rrRJcIHgLTDzi+D0Z04gVWnQ+blhTI83OnjNYYqqtrxdeIEVrPZxbOpjc3x1VbB9gAevn4o3TVYrRZKctrXCbKP13cIlGMs96X87/Y1N6cSEAkDqvNJmuj6sgfbB3ecMsea9BgRBEBfg5x/Dglz8Ww6Pv5aFXdMFDt7/ueXZHTG9rWvczmZB2qIXiPhBkn0snFyfx4mvRnvIHf7sYLDsDm+ik6BUVfn6eDqnK/cU5LjS8K1tMdQ+9bQnJwvCQmJzo8kfHVQonyrOzsWOd7BY7VYzwtfA1pR5lh9Uqr2cMNdq3TI3FpD+EDxtZxOcL7wZc/3GjgQQeb6fzNlj+4IajVWnQ7DmXRXT8dOZVkpFSXFAPh3695m4wqCYM/5KmwnAfcAWCzI83firVgLQNmvZzCV6l08qTZkvM31tQUy9ze6eEmeeGW6I3V0rMmeygpKBQtqBLT57cd52JH517iehHipySypYu3ONFdPp/2QuR8+mw26Uug2Cm74DtRSIwUbSTVC7R1+sq8NBrUPWC1QeJHOjj28QIBzRToqLqX9vUS7Q6/XYzabEQSh3YTatwZJ+JKQkKiJ68/IJVpETceX1erYcihDWimWciOCuwJV75ZfDT6f79U+Tkp7VgtfWSkl6Kuc+yWoa0fB9gCCXI6qTx8A9MntJ+C+IF0sc/QODkGpbtuDrPM5X+0n4J6iU6Avw0MVh7KbFqveTOnGVFfPqu0IiICB14n3m+D6KrU5vjqg8GW1Wvlq71kOq0RXUlJ8totn1DlwV8p56HJxX/f2HycprpAERc7uh0+vqRa9Rkui1wUUZpWTc6oMmUwganSI4wcQhBo5X3W/f5XuCvy6iFlKUs6XhCuprBS/UzUajb1MsCMjCV8SEhI16fh7tUuUCJ8IFDIFZYYysisce8JUWV0K6N7XH0He8o+IraOjq/O9bPgEa/AJ1mAxW0k/6tyQ+6pD1cJXO8j3snG+s2P7yfkqyEgD2jbfy4ZvqK2zYztyfFVnWwkh/fCd0wdkAlVHC6k61nZNGVzO+IdBkEPKr3B2X4OL2jK+fFzYNbalHMks41h2GcnuFgRBFORtLlmJ1nHt0K5Eh3hyTmfird9Puno6ruXsPtHppS+F7mPghm9B5enqWbUrbKJz+MAAPLxVzhnEnvNVN+AekALuJVyO2WxGpxNLcTWajvedejEk4UtCQqImkvDVQXGTu9HbW8wycWTOl1jmKJ5kt6bMEaC4+iTON7j9dIWxub7SEp1X7mgqLsZwRnQyuQ8Y4LRxmouqOuBef7w9Ob7SAAhsw46ONuyOr/YkfGUfEn+GDsEtxAPP/xNzn0p+TMWiv0Tyivx7w6DrxftxL9W7mL7SSNU5sU25d1DHK8n4cq9YcnzZwBC69/MHIGnnJZTp5kTkMoHHrhQdNp/tSuNMYYWLZ+QiMvbCZ9eAvgy6j4WFkuh1IWajheRdOQDEjHNwqH1NGnB8AQT3Et31uVLAfYfihx9+ICIiArlczv3339+qbQmCwA8//OCQebUEW7aXUqns0KH2NakpfDm6OkZCQqLj0SLh67///S/h4eGo1WpGjRrFnj17Glz+9ddfJyoqCnd3d7p168YDDzxgv6og0XJsnR0dmfNlSC/Dcs6AoJajbmXAa3E7K3UECB8kCl9njhRiMTunvbEuMREAZc+eyH18nDJGS7A7vk6ccPFMzmMrdQxow2B7G7aMr6Kss1jbS6trWzfD0CEAeE7pjtxXhblUT9nWMy6cWBszfqno+jq5VTx5vwi2fC+NtxKlumN1Q6w0mNh4SBS5rh/Zjb7jQgE4/ncOZiftly41xvcJ5P8iAzCarbzyS/txubYZGXvOi149LoOF34BK6+pZtTtOJeSjqzDi4aOyC9BOoRHHV7DN8XXmnNOOTSTOk5+fzx133EH37t1RqVSEhIQwffp04uPjm7WdJUuWMHfuXDIyMli+fHmr5pSdnc0VV1xR7/OxsbEIglDnNmPGjFaNC2Lpfc0yx86CXC63Z/ZJri8JCYlmC1/r16/nwQcf5Omnn+bAgQMMGjSI6dOnk5eXd9Hlv/jiCx599FGefvppkpKS+Pjjj1m/fj2PPfZYqyd/qRPjJ15BTCq6+IFUS6iylTnG+CMoWm4ItFqs5zuutSPhK6SXN2oPN/SVJrJTnXNltWawfXtCVS18mbKzMZeUuHYygNVioSCjWvhyQamjd1AIMrkCk0HPuULnNzxoFIsFssXPDqGDAZAp5fjMjgCgPD4TQ2a5iybXxvj1gkHzxfv1uL5KOnC+16bEbMr1Jnr4axjd058eA/1x93SjsszAmcOXUFmrk3nsyhgEQXy/D6YXu3o6bUf6blH0MpyD8P+DhV9Lolc92ELtY8Z2QSZzYgc7e2fH02CsqvO0X4gHSrUck95MUfYl6lBsQ+bMmcPBgwdZu3YtJ06cYOPGjUycOJHCwqbvf8vLy8nLy2P69OmEhobi6dkyN6XBIOYQhoSEoFI1XGo7Y8YMsrOza92+/PLLFo1bE51Oh8ViQSaT1Qm1t82vIyIIglTuKCEhYafZysaqVau49dZbufnmm+nbty/vvfceGo2GTz755KLL79y5k3HjxrFgwQLCw8O5/PLLmT9/fqMuMYnGcbTjy1HdHEHsTmQ2WpApBLz81Y6YnkOQyQR6DBCv6p52Urlje8z3ApB7euIWJpbO6ZJd7/oqzc/DqNchd3PDt0tom48vVyjwCRFLWwoz20HAfeFJMJSDwh0CouwPu0f54T4wACxQ/H0KVsslYtcfvxRkCkjdJrpXLsCe79UByxy/2it+3uYN74ZMJiCXy4geI34WbSfiEq0nposXc4aKzs4XNyddGqUu6bvg82vFfUn4/8GC9aBsP3ED7YmygioykkRBNGasE8scATwCwd0PsEJB3e9fQSYQFC66vnJOSTlfzqSkpIS//vqLFStWMGnSJHr06MHIkSNZtmwZV199tX25VatWMWDAADw8POjWrRt33nkn5eXixae4uDi70DV58mQEQSAuLo7CwkLmz59PWFgYGo2GAQMG1BGmJk6cyN133839999PQEAA06dPB5pW6mhzp9W8+fr62p8XBIGPPvqIa665Bo1GQ2RkJBs3bqy1jSNHjnDFFVeg1WoJDg5m0aJFpKeLpfcajYZJkyZddH4bN24kMjIStVrNpEmTWLt2LYIgUFJSQkVFBV5eXnz77be1xvrhhx/w8PDg3LlzTf3zOBxJ+JKQkLDRLOHLYDCwf/9+pk6den4DMhlTp07l77//vug6Y8eOZf/+/Xah69SpU2zevJkrr7yy3nH0ej1lZWW1bhJ1sQlfWRVZlOpb714ynD2HudSAoJKjjvRtfIUGKK7hxpC1IiDfGdhzvhIKHH4iZLVYqKoudWwvHR1roooWyy3aQ2dHW76XX1g3ZHK5S+bQrnK+bPleIQNAXrt0z2dmbwSVHOPZcip2XSLd//x6nnd9/fFinadtHR29O1iwfUruOfafKUYuE/jnsK72x23ljmeOFFJerHfV9DodD13eB7WbjL1pxfx6LNfV03EuZ/6Gz6pFr57jYcHXkujVAEk7xX1p12hfvAKcLKA30tkRREc6dOycL6vVilFvdsmtqcdzWq0WrVbLDz/8gF5f/75WJpPx5ptvcvToUdauXcvvv//Ov//9b0A8t0lOFi86f/fdd2RnZzN27Fh0Oh3Dhg1j06ZNHDlyhNtuu41FixbVudi/du1alEol8fHxvPfeey18ty/Os88+y7x580hMTOTKK69k4cKFFBUVAaLoN3nyZIYMGcK+ffvYsmULOTk5/Otf/wLOlzleOL/Tp08zd+5cZs+eTUJCAkuWLOHxxx+3j+nh4cH111/P6tWra81l9erVzJ07t8VuOEcgCV8SEhI2mhWMUlBQgNlsJjg4uNbjwcHBHK8nMHvBggUUFBRw2WWXYbVaMZlM3H777Q2WOr700ks8++yzzZnaJYmX0oswbRiZ5ZkkFyUzssvIVm3PVuaojvFDcGudWFViy/dqhyel3fr6IVMIlOZXUZJbiW+I404MDKdOYSkvR1CrUfXp47DtOgp1VBTl27a1i86O9mD7bm0fbG/jfM5XO3B8XZDvVRO5lxLvGeGU/JhK6S9puPf3R+7lpO5j7YnxD0PCl3DqD9HJ0n20/SlbxldHK3W0ub0mRwcR5HXeDesTrCE00oeslBKO/53N8CvDXTTDzkUXb3cWX9aT//6RyoqfjzM5Ogi3dnYxxiGc2QmfzwVjBfSaCNd/CcqO9b/RllgsVrvw1feyNnIcB0bDmfjGc746cGdHk8HCB/dtd8nYt70xATdV4xfRFAoFa9as4dZbb+W9995j6NChTJgwgeuvv56BNSIqaobVh4eH8/zzz3P77bfzzjvvoFQqCQoKAsDPz4+QkBAAwsLCWLp0qX29e+65h19++YWvv/6akSPPH6NHRkbyyiuvNPs1/u9//0OrrV22/Nhjj9U6p4qNjWX+fPGi0Ysvvsibb77Jnj17mDFjBm+//TZDhgzhxRfPX0x644036NevHxkZGYSGhl50fo8++ihRUVH85z//ASAqKoojR47wwgsv2Je55ZZbGDt2LNnZ2XTp0oW8vDw2b97M1q1bm/06HYkkfElISNhw+tFfXFwcL774Iu+88w4HDhxgw4YNbNq0qcEQyGXLllFaWmq/ZWS0g5PSdkq0n+jgaW1nR6vVahe+NP1bV+YIUJwjZlS0p3wvG0q1gq59REfb6QTHljva873690dQtL/A7fbU2TE/w3XB9jb82pPjK+uQ+LM63+tCPEZ1QdnNE6veTMlPp9psWi7FtwcMXijer+H6slqt50sd26G4Xh96k5kNB8TP2vyR3eo8b+sql7Qz69IpaW0Dbp/QG38PJacKKvhqT7qrp+N40nbUEL0mwfyvJNGrEdKPFlJRokfloaDXoMC2GbSxzo7VwldxTiW6CmPbzOkSZc6cOWRlZbFx40ZmzJhBXFwcQ4cOZc2aNfZltm7dypQpUwgLC8PT05NFixZRWFhoD4G/GGazmeXLlzNgwAD8/PzQarX88ssv9lJCG8OGDWvRvCdNmsShQ4dq3W6//fZay9QU7zw8PPDy8rLnMCckJPDHH3/YXW9arZYRI0YAkJOTU+/8kpOT7cvZqCnk2X7v168fa9euBeDzzz+nR48ejB8/vkWv1VFInR0lJCRsNOvMPCAgALlcTm5u7XKB3Nxc+9WOC3nyySdZtGgRt9xyCwADBgygoqKC2267jccffxyZrK72plKpGg14lBCJ8otiW/o2kotb5+AxZpZjLtEjKGWoo1pX5gg1Ozq2zzKL8IEBpB8rIi2xgKHTHec4qkqoLnNsZ/leNtS2UseTJ7GaTC4V52yOrwBXOr5Cz3d2dCkWc41g+7qOLxAzYHyuiSDv7YNUHS6gKqkQ9xgndiFrL4xfCofWwentoqulx1gqywwYdWYEAbydXaLkQH49mktxpZEQLzXjI+uebPceGsRfX52grEDH2RPFdIv2c8EsOx+eajfumxrJUz8e5fWtKcweEoan2s3V03IMp/+CL+aBsRJ6T4brvwC3jvM/4Spsbq/oUV2Qt9Lh3mQa6ezorlXiHehOaX4VeWllzu0y6SQUShm3vTHBZWM3B7VazbRp05g2bRpPPvkkt9xyC08//TSxsbGkpaUxc+ZM7rjjDl544QX8/PzYsWMHixcvxmAw1Nv58D//+Q9vvPEGr7/+uj0f7P77768TEO/h0bJjYw8PDyIiIhpcxs2t9r5NEAQs1Z2ry8vLueqqq1ixYgUAVVVVlJWVIZfL6d+/f6vnd8stt/Df//6XRx99lNWrV3PzzTfbuyq6CpvwZbVaMZvN9t8lJCQuPZr1LaFUKhk2bBjbtm2zP2axWNi2bRtjxoy56DqVlZV1xC15dZ6PpLy3Hkd1drSXOUb7Ibi1Pm/JlvHl2w4dXyAKXwA5p0qpOue4jjU2x5e6HeZ7Abh17YpMo8FqMGA4fdpl8zAZjRRnZwKudnyJwldlaQlV5a4LX6XwpOjWcNNAQP0lsspQLdrLxDmX/JiKxWBuqxm6Dp/uMOQG8X51h8fSareXp7+67U5aHcB6e6h9VxQXKbdzU8rpM1K8iJS0Qwq5dyTzR3anV4AHhRUG3t/eSRyTp/+sIXpNEcsbJdGrUSrLDKRVu71tLss2web4Kj4Dhou7hoJ7VQfcd9ByR0EQcFPJXXJrrcDSt29fKirEaoX9+/djsVh49dVXGT16NH369CErq/F9cnx8PLNmzeKGG25g0KBB9OrVixMnXN9MyMbQoUM5evQo4eHhREREEBISQs+ePenXr1+dEsqaREVFsW/fvlqP7d27t85yN9xwA2fOnOHNN9/k2LFj3HTTTQ5/Dc1F6uwoISFho9lnDA8++CAffvgha9euJSkpiTvuuIOKigpuvvlmAG688UaWLVtmX/6qq67i3Xff5auvvuL06dP89ttvPPnkk1x11VV2AUyi5dhKHU+XnEZvblkgstVqpbJa+HJ3QJmjrsJIVZkoJrXXMiRPPzUB3bRYrWKYtCMwl1egT0kBwH1g+xS+BJkMVZRY7ujKnK+izAysFgsqDw+0fq67qq1Uu6P1D6iekwtdX7Z8r5CBIGt4v+g1tTtyHxXmEj1lWzth2dbF+L+lIHMTT/TT4inJ7Xj5XhlFlew4WYAgwD+H1y1ztGHLG0o9lI+uXCp3chRuchn/niF+X3604xQ5pToXz6iVnNoO66pFr4ip1U6v9tNBuT1zfFc2FouV4J5e+IfVf7LvcDwCQOOP2Nnx4t+/IT07fsB9e6ewsJDJkyfz+eefk5iYyOnTp/nmm2945ZVXmDVrFgAREREYjUbeeustTp06xWeffdakEPrIyEh+++03du7cSVJSEkuWLKlTJdMa9Ho9OTk5tW4FBU2P7LjrrrsoKipi/vz57Ny5k5SUFOLi4rjnnnswm+u/kLZkyRKOHz/OI488wokTJ/j666/tZaE1BUdfX1+uvfZaHn74YS6//HK6du1azxbbFkn4kpCQgBYIX9dddx0rV67kqaeeYvDgwRw6dIgtW7bYA+/T09PJzj7fdeyJJ57goYce4oknnqBv374sXryY6dOn8/777zvuVVzCBGuC8VZ5Y7KaSC1JbdE2jFkVmIt0CG4y1A4orSmpdnt5+KhQqtuvpdjm+jqd6JicL92RI2CxoAjtgltwkEO26QzsOV8u7Ox4vswx3OU2+POdHV2YJdhIvldNZEo5PrN6A1C+4yyGrPKLLvfBn6mMe/l3tnaGTnY+3WDoIvF+3Ev2fK+O1NHR5va6LCKAbn71zzuwuycB3bRYTFaSd+fUu5xE85neL5jhPXzRGS28+qvrG3y0mFNxotPLVAWRl8N16yTRq4lYrVaS4ts41L4mgU3L+co9XSbl/DkJrVbLqFGjeO211xg/fjz9+/fnySef5NZbb+Xtt98GYNCgQaxatYoVK1bQv39/1q1bx0svvdTotp944gmGDh3K9OnTmThxIiEhIcyePdthc9+yZQtdunSpdbvsssuavH5oaCjx8fGYzWauvPJKpkyZwjPPPIOvr+9Fo2ds9OzZk2+//ZYNGzYwcOBA3n33XXtXxwujaWzloLZOke0BSfiSkJCAZmZ82bj77ru5++67L/pcXFxc7QEUCp5++mmefvrplgwl0QiCIBDtG83unN0cLzpOX/++zd5G1ZHqMscoX2RKB5Q55rTvMkcbPQcGsG9TGunHijAZzShaWeJpD7Zvp2WONtQ2x1ey6+z3+Tbhy4Vljjb8QrtyJvGga3O+GujoeDHcY/xxHxBA1eECSr4/SeAdgxBk5wXEnw9n8+Jm8cTqznUHWHPzCMZGtN7N6VL+7yE4+Dmk/UWJpygidRTHl8ls4Zv94pyvH9G90eX7jgvlz69OcCw+i4GTu7pcHO4sCILAY/+I4dp3dvLtgbP867KexHTxcvW0mkfqH/Dl9WDSQeR0uO4zUEiZqE0l+2QpJbmVuKnkRAxzwQWqoGg4swPyLy58+XfVIneToa80UZLn2K7TEiIqlYqXXnqpUSHrgQce4IEHHqj12KJFi+z3fXx86kS2+Pn58cMPPzS43QvPk2w0Fv+yZs2aWuH7Td1GSUlJrd8jIyP59ttvyc3NxWq14u/vX0u8qm9+V199NVdffbX99xdeeIGuXbuiVtcW3TMzM/H397e759oDkvAlISEBbdDVUcL5tKazY81uju4DHHNiXJIrZiT4tnM3RmB3Tzy8lZj0ZjJPlLR6ex1F+LKVOrqys2NBdUfHwO6uC7a34edqx5fFDDliUwS6DG7yaj5X9UJQyTFknKNi93mXbXLOOR76RvwshnipMZgt3PLpPg5llDhw0i7AuysMvRGAkrP5APgEd4w8o7jkfHLL9Ph5KJnat/GT7T4jg5G7ySjKqiA3rWNm/bRXhnb35R8DumC1wks/u767bbM4ue286NVnhiR6tYBj8WJOU8TwINc40u0B9xf/7MnlMoK6ewKi60tCwhlUVVVhtVpRKBQolcomrfPOO++wd+9ee+nnf/7zn1oZXpWVlaSmpvLyyy+zZMmSJm+3LZCELwkJCZCEr05BlJ8oZCQXNb90w5RbiamgChSCQ8oc4bzjy6edX6kUBMFe7mgLum0pVqu1wwhf6j59QBAw5edjKipyyRxqljq6GntnR1dlfBWcEHN63DwgILLJq8m9VHhPDwegdEsa5jIDJZUGbv10H5UGM+Mi/Pl96QQuiwig0mAmdvUeknNcGODvCC57EItMRWmVmIPTURxfX1WXOc4ZGoZK0bizVKVxI2KoKJDZyrIkHMe/Z0ThJhf480Q+f6Xku3o6TePkVvhyvih6RV0J8z6VRK9moq80kro/DxBdlS7BFnCfV39DIlu5Y0cNuJdo31itVnuIv0ajabKjOCUlhVmzZtG3b1+WL1/OQw89xDPPPGN//pVXXiE6OpqQkJBaWc/tAZvwZbFYGswyk5CQ6NxIwlcnwOb4Si5OxmK1NGvdykTxoF/dxw+ZyjFXPztKqSOcz/lKO1zQqi6jxsxMzIWF4OaGum/zy03bEpmHB27dRZeTK1xfuvJyyovEhgIB7cDx5d9VfC9K83IxGRzX4bPJ2PK9ujQebH8hHqO74NZVi1VvpvinVO758iDpRZV09XXnrflD0SgVvL9oGEO6+1BSaWTRx7tJL7x4N7EOgXcY5TFLsOCGTDCh9W3/J/65ZTr+SBZPtq8bUX+o/YX0vUzsNpeyNxeDTrpK7Uh6+Htww2hx3/Pi5uOY23uWUspW+HIBmPUQ9Q/451pJ9GoBKXtzMRkt+IV62MWlNseW8VVyBgwVF10kWAq4l3AiBoPB7nzSaJp+nP7aa6+RlZWFTqfjxIkTPPnkk3ZBCeCZZ57BaDSybdu2BjtEugKZTGbPMJNcXxISly6S8NUJ6OndE6VMSYWxgrPnmudaseV7OarM0Wy2UJYvdlzrCMJX12hfFEoZ5cV6CjIuHhLeFKoOiW4vdXQ0MlX7PyFRR4liqSs6O9rcXp4Bgag0rncFarx9UGk8sFotFOc03q7c4TQz36smgkzA99pIkIHucAHGlBLUbjI+WDQcPw+xzMBDpWB17AiiQzzJO6dn4ce7yC3ruB3tSnqK5Y7e8ixkZ/508Wwa59v9ZzFbrAzv4UtEkGeT1+sS4YN3kDtGvZmT1S4VCcdx7+RIPNUKkrLL+P5gpqunUz8nfoWv5ouiV/RM+OcaULSfEqKOxDFbqP24UNfl5nn4g0egeD+/ns6OvURRrvBsOUa95E6RcCyVleLFL41G02CgfWdDKneUkJC4dPZ4nRiFTEGkr1gi1ZycL2NuBaa8KpALuMc4psyxLL8Ki8WKQiXHw6f9C0AKNzndql97a7o7dpQyRxuu7OyYn5EGQGA7CLYHseTVL8xW7uiCnC+b8NWMfK+aKEO15EaKDoEHUbNy9gD6htZ2M/holHy6eCQ9/DVkFFWx6OPdFFe4wN3mAErOiblePvIs+OMlaIVT09lYLFZ7N8frRzYeal8TQRDs5VhJ8S4QZDs5vh5K7poUAcCrvyajM7ZDgeHEL7B+IZgNEHOVJHq1gvz0c+Snn0OmEOgzKti1k2kk50vrq8bDR4XVCvnpUrmjhOMwm81UVYkXp5vj9uoMuLm5AZLwJSFxKSMJX52ElgTc20Lt1ZG+yBwU8movcwxuem6Aq+k5qLrc8RISvtTRrnd8BXRzfZmjDb9QW8B9G+d8mU2Qc1i83wLHF8DRrFIWp2aSi4VQZPxfnvGiywV5qvl88SiCvVScyC0ndvUeyvUd7wCwJK86Q9AtDzJ2wak/XDyj+vn7VCHpRZV4qhRcOSCk2etHjQ5BkAnknCqjMKvljlSJixM7NpwwH3eyS3V8vOO0q6dTm+QtsP6GatHrapi7GuRurp5Vh8UWat9rcCDuWheLh03I+Qqx5XydkoQvCcdhc3u5ubm1q/D5tkByfElISEjCVyehRcKXg8scAUpyO06+l40e/QNAEK8Ilxc3vwTMotejSxIPYN0HdxDhy9bZ8dQprG2ca1WQLnZ0DGgnji/A7vgqbGvHV0EymKpAqQX/iGavXlRh4LZP91NisvBLqHgQe+6vTIw5F8+O6ean4fPFo/DVuJFwtpRb1+5rn06XBiit3sf4RPQWH4h7ud26vmyh9rOGhKJRNv/igoe3ivAB/oAUcu8M1G5ylk7vA8C7cakUlutdPKNqkn8+L3r1nQVzP5FEr1ZgMpg5sScXcGGofU0acXxBzZwvSfiScAxWq7VWmeOlhiR8SUhISMJXJ8EecN/Ezo7G/EqMOZUgc1yZI0Bx9Qm3T3DH+VLVeCntV1fTDhc2e319UhIYjcj9/HDr2tXR03MKitBQZF5eYDSiP3Wqzca1Wq0UZLRH4ava8ZXVxo4ve7D9IGhm1obJbOGudQfILKmih7+Gu24Zjns/f7BYKd6QgrWewO7IYE/W/mskWpWCv08Vcs+XBzGam9cUw5XYHV9jrgSFGjJ2Q+rvLp5VXYorDPxyJAeA60c0r8yxJn0vE0/Uk3flYDZ2nL9TR2HWoDD6h3lRrjfx5rYUV08Hjm+C9YvAYoR+18CcjyXRq5WkHszHUGXC019N1yhfV0+nhuOrAeGrl83xVdqqxjsSEjb0ej1msxlBEHB3d3f1dNocm/BlNpuxWKTvUgmJSxFJ+Ook9PHtg4BAXlUehVWNize2MkdVhA8yjeMOqs93dHR9aHlzsHV3PJ3Q/HLHmmWOHaW8UxAE1H1Ep4OuDTs7nivIx1BViUwuxy80rM3GbQz/asdXcVYm1rY8IGpFsP2Lm4/z96lCNEo5H944HG+NG95X90ZQyjGkn6Nib0696w7s6sOHNw5HqZDx27Fc/v1tIpb23tkOMBstnCsUXZne4V1h+L/EJ+LaX9bXhoOZGMwW+oV60T/Mu8Xb6d7XDw8fFboKI6cS8h04QwkAmUzgsStEIWLd7nRO5buwpDTpf/D1TdWi17Vw7UeS6OUAju0Qyxz7juuCIGsH39E2x1dpOugv/nkL7O6JTCZQWWagvLidOBElOjQVFeKF6Ust1N6GTCazH6ObzR3L6S4hIeEYLr09XydF46ahh5eYmdQU15dN+NI4sMzRarV2yFJHgJ4DxS5LZ5OLMOiaZ4PuaPleNlS2csfkE202Zn51vpdfaFfkivZzQucdFIJcocBk0FNW0IbiQvYh8Wczg+2/23+WT+LFTKJV8wbRJ1jsFqjwVuE1XdwPlP58GvO5+stYx/T2592FQ1HIBL4/mMmzPx1t986C0oIqrFZwU8vReClh3P2gcIeze+HkNldPz47VamX93nSg+aH2FyKTy4gZ2wWQQu6dxdiIACZFBWKyWHllS9vnHgKQ9BN8Uy169Z8D134Icsdkb17KlORWkpVSgiBA9Jgurp6OiMYPtNUB+/V0dnRTyvHvqgVE15eERGswmUzo9Xrmzp3Lk08+6erpuARBEBotd4yNjWX27NltOCsJCYm2RBK+OhFRfqKQcby4YQePqaAKY3YFyEDd199h41edM6KvNIEA3kEdy0bt20WDV4Aai8nK2aTiZq1bdaha+Oog+V42XNHZ0R5s347KHAFkcjk+IWJJWZt1dmxhsH3i2RKWfS+ud+/kCGb0r30ypx0TiluYFqvOTMn/Gi5jnRITzKvzBiEIsPbvM6z6re1E0JZgE9Z9gqqbZ3gGw4jF4pNxL7Yb19eB9BJO5JajdpMxa3DrM4VswldGUjFlBVWt3p5EXZZdGYNMgC1Hc9iXVtS2gx/7Eb6JBYsJBvwTrvlAEr0cRNJOUSzu3t8fra/axbOpgT3nq/GAeynny/Hk5+dzxx130L17d1QqFSEhIUyfPp34+Hj7MoIg8MMPP7hukg7Elu0lCEKDbq81a9YgCIJ9ua5du3LzzTeTl5fXpHHS0tIQBIFDhw7Vu8wzzzxjH6O+m7OwdXY0Gi/eBEhCQqJzIwlfnYimBtxXVofaq3r7IPdwZJmjaKP28lejcJM7bLttgSAIdtfX6cSmO36MeXkYs7JAEFD3H+Cs6TmFmp0d28rpY8/3akcdHW3YAu7bLOcr/ziYdKD0BL9eTVvlnJ4ln+3HYLIwJTqI+6f2qbOMIBPwvTYSBKhKyKfqeMMn8bMGh/HcrP4AvPX7ST76q+0y35qLPd+rZobguPtE11fmfkj5zUUzq43N7fWPAaF4qVu/j/UKcKdrtJhNlLRTCrl3Bn2CPZk3XMz6e3FzUtu5H4/+AN/cXC16zYNr3pdELwdhNltI+lss+e47th2E2tekCZ0dg3vZAu4lx5ejmTNnDgcPHmTt2rWcOHGCjRs3MnHiRAoLm5/z2hiGNm4gdCE1Q+3l8saPzb28vMjOzubs2bN8+OGH/PzzzyxatMhh81m6dCnZ2dn2W9euXXnuuedqPVYTR75/UsC9hMSljSR8dSKifKsdX40IX/Zujv0dV+YIHTffy0b4IPH9SDtc2OS8I11iIgCqyEjk2o71ulWRkSCTYS4qwpTfNuV97dXxBeBfHXDfZp0d7fleg5sUbG8wWbhz3X6yS3X0CvTgtesHI6snr0YZpkU7TsxQK/7mRIMljwCLRvfg4eni/uP5TUl24aa9YevoWMtRqg2CkbeI99tB1tc5nZGfEsQD9+tHdnPYdm0h98f/zu4QeWwdkQen9cHdTc6B9BJ+PlJ/Rp7DOPo9fPsvsJph4PVwzXsg61gXjdozZw4XUlVmwN3TjR4DHedudwhN6uwoOr7y08ulxhYOpKSkhL/++osVK1YwadIkevTowciRI1m2bBlXX301AOHh4QBcc801CIJg/z01NZVZs2YRHByMVqtlxIgRbN26tdb2w8PDWb58OTfeeCNeXl7cdtttzJ07l7vvvtu+zP33348gCByvzlg1GAx4eHjYt6XX67n33nsJCgpCrVZz2WWXsXfv3lrjbN++nZEjR6JSqejSpQuPPvpoLUGnoqKCG2+8EU9PTwYNGsQHH3zQpGwvQRAICQkhNDSUK664gnvvvZetW7dSVSW6jT/66CNiYmJQq9VER0fzzjvv2Nft2bMnAEOGDEEQBCZOnFhn+1qtlpCQEPtNLpfj6elp//3666/n7rvv5v777ycgIIDp06cDsGrVKgYMGICHhwfdunXjzjvvpLxczMgrKyvD3d2dn3/+udZY33//PZ6ennbhLzs7myVLltCzZ0/8/PyYNWsWaWlpjb4nEhISnQNJ+OpExPiLVxDTStOoNFZedBlTkQ7j2XIQEDvAOZCSauHLp4Ple9noEuGN0l2BrtzY5NKCjprvBSBTq1FWH8zpk52fa2M2Ge1uqsB2KHz5hVY7vjLbyPFlz/dq2mdn+f+OsTetGE+Vgg9vHN6ok8h7ejhuIRosFUaKvk6ut8ujjTsn9mbJeNF5tmzDYTYfbn/OopI88cDbJ+iCfczY+8BNA1kHIOVXF8zsPD8lZFNlNNM70IPhPRzXQa7XoEBUHgrKi/VkHGvjUrxLhCAvNbdW/w+s2HIcg8mJYsOR7+DbxaLoNWg+zH5HEr0czLHqTLzoMV2Qy9vZ4W4TOjt6B7qj9nDDbLJQcNaFTReagdVqxajTueTWVJemVqtFq9Xyww8/oNdfvHGATWRavXo12dnZ9t/Ly8u58sor2bZtGwcPHmTGjBlcddVVpKfXvli0cuVKBg0axMGDB3nyySeZMGECcXFx9ue3b99OQECA/bG9e/diNBoZO3YsAP/+97/57rvvWLt2LQcOHCAiIoLp06dTVCTu+zMzM7nyyisZMWIECQkJvPvuu3z88cc8//zz9jEefvhhtm/fzqeffsoXX3zB7t27OXDgQJPeo5q4u7tjsVgwmUysW7eOp556ihdeeIGkpCRefPFFnnzySdauXQvAnj17ANi6dSvZ2dls2LCh2eMBrF27FqVSSXx8PO+99x4ghtO/+eabHD16lLVr1/L777/z73//GxBdajNnzuSLL76otZ1169Yxe/ZsNBoNRqORWbNmodVq2bBhAzt27ECr1TJjxgyXu/IkJCTaBslP34kIcA/AX+1Poa6QkyUnGRg4sM4yNreXqqc3cq3SoeMX54qljr7BHVP4kstl9OjvT8reXNIS8+nSu/FObB0138uGOjoKw6lT6I4fR/t//+fUsYqyMrGYzSjdNXgGBDp1rJbgV+34arOMr2Z0dPxqTzqf7TqDIMDr1w+md6C20XUENxl+86PJfesQ+pQSyuMz8fy/rvUvLwg8ekU0ZTojX+7J4L6vDuKhUjChT/v5W1201BFAGwgjboGdb4qur8jLwUUdVu2h9iO6OzSrRO4mI3pUFxJ+z+BYfBY9+rczB0snYcn4XnyxO50zhZWs232Gm8f1dPwgh7+FDbeJotfghXD1W5Lo5WDKi3WkHxHL1vqOa2dljgCBosOWsrOgKwO1V51FBEEguJcXZw4XknO61O4Aa8+Y9HrevGmuS8a+d+23uKkbz3FTKBSsWbOGW2+9lffee4+hQ4cyYcIErr/+egYOFI+bAwPF7z0fHx9CQkLs6w4aNIhBNS50Ll++nO+//56NGzfWcnRNnjyZhx56yP77xIkTue+++8jPz0ehUHDs2DGefPJJ4uLiuP3224mLi2PEiBFoNBoqKip49913WbNmDVdccQUAH374Ib/99hsff/wxDz/8MO+88w7dunXj7bffRhAEoqOjycrK4pFHHuGpp56isrKSjz/+mDVr1jB69GhAFJNszrWmkpKSwnvvvcfw4cPx9PTk6aef5tVXX+Xaa68FRIfXsWPHeP/997npppvs75u/v3+t9625REZG8sorr9R67P7777ffDw8P5/nnn+f222+3O84WLlzIokWLqKysRKPRUFZWxqZNm/j+++8BWL9+PRaLhZUrVyIIAkFBQaxevRofHx/i4uK4/PLLWzxfCQmJjkE7uwQm0Voay/mydXN0H+jYMkfo+KWOAD2r35fTCQWNLms1mag6cgTomI4vAFWU+HnRH3e+46tmvpczw0tbis3xVXWujMoyJ2eqmI2QI352GhO+9p8p5qkfjwLw4NQ+TIkJbvIwbsEe+MwUHSylW9IwZDbsGhAEgednD2DmwC4YzVaWfLav7YO+68GgM1FZKl6V9blY84xx94GbhygontjSxrMTOZZVRsLZUtzkAtcODXP49mPGiSH3aQkFVJZJV6idgYdKwQPTIgF4c1sKpVUODkFO/AY23Fotet0giV5O4vjf2VitEBrpU1cobw+4+4K2Whiop7MjSAH3zmLOnDlkZWWxceNGZsyYQVxcHEOHDmXNmjUNrldeXs7SpUuJiYnBx8cHrVZLUlJSHcfX8OHDa/3ev39//Pz82L59O3/99RdDhgxh5syZbN++HRAdYLaywNTUVIxGI+PGjbOv7+bmxsiRI0lKEjPhkpKSGDNmTK1jqXHjxlFeXs7Zs2dJTU3FYDAwYICYPatSqQgKCiKqupt3Q5SWlqLVatFoNERFRREcHMy6deuoqKggNTWVxYsX211zWq2W559/ntTU1Ea32xyGDRtW57GtW7cyZcoUwsLC8PT0ZNGiRRQWFtrLGK+88krc3NzYuHEjAN999x1eXl5MnToVgISEBE6ePEmfPn2IjIzEx8cHPz8/dDqdw+cvISHRPpEcX52MaL9o4rPiLyp8mUp0GDLOVZc5Olb4MhrMnCvSAeDbQUsdAbr380MmEyjOqaQkr7JuSVUN9CkpWKuqkGm1KHs1LZy8vaGu7uyoa4POjufzvdpfsD2Am1qNZ0Ag5wryKco6i8arccdfi8lLArMeVN7gW7+jJLdMxx2f78dgtjCjXwh3TYpo9lAeo0LQnShGd6yQoi+PE3TvEGTK+k+05TKBVfMGU643EZecz81r9vLVbaPpF+rE96MJlFaXObp7uqHSXKTM0yMARt4K8a+Lrq8+M9rc9WVze13eNwR/rcrh2/cP0xLc04vc02Uc35XN0Mvb5/9SR+e64d1YHZ/Gybxy3o1L5dEroh2z4cSv4fslYLXAkEVw1ZtNyveTaB5Wi5Vj8WKpdt9xXRpZ2oUERUN5jtjZsduIiy4S3LNjBdwrVCruXfuty8ZuDmq1mmnTpjFt2jSefPJJbrnlFp5++mliY2PrXWfp0qX89ttvrFy5koiICNzd3Zk7d26dUjkPj9oXgAVBYPz48cTFxaFSqZg4cSIDBw5Er9dz5MgRdu7cydKlS5s1/6Zgy+W6cD4N4enpyYEDB5DJZHTp0gV3d/FCU25uLiC6z0aNGlVrnaaE5jeHC+eblpbGzJkzueOOO3jhhRfw8/Njx44dLF68GIPBgEajQalUMnfuXL744guuv/56vvjiC6677jp7oH15eTnDhg3jv//9L3q9Hq1Wax/H5lSTkJDo3EhHXJ0Mm+MruajuFcSqatu/MtwLuadjyxxL8yrBCioPBWqt4zpFtjUqjRtdIn0ASEts2PVlz/caOAChg568qKo7OxpOp2GpJ+vCUbTnYHsbbZbzZc/3Gljvia/eZOb2z/eTd05Pn2AtK+cNqjfMviEEQcB3TiRyLyWmgipKNjZ+ZVOpkPHuwmGMCPflnM7ETZ/s4VS+azNmSqqD7RsSoxl7Lyi1kJ0AyZvbaGYiOqOZ7w9mAnDdCMeF2l+IrWwrKT677ToPXmIo5DIenSHuGz+JP01mSVXrN5qw/rzoNfRGSfRyImdPFHOuUIfSXUGvoUGunk79BFbnfDXg+AoK9wIBygp0HcLlKQgCbmq1S26tdZL37duXiooK++9ubm6YzeZay8THxxMbG8s111zDgAEDCAkJaXI4ui3nKy4ujokTJyKTyRg/fjz/+c9/0Ov1dodX79697flWNoxGI3v37qVv374AxMTE8Pfff9f6DoiPj8fT05OuXbvSu3dv3NzcOHDgAHK5HJVKRXFxMSdOnGh0njKZjIiICHr16mUXvQCCg4MJDQ3l1KlTRERE1LrZQu2VSvHc4sL3rbXs378fi8XCq6++yujRo+nTpw9ZWVl1llu4cCFbtmzh6NGj/P777yxcuND+3NChQ0lJSaFLly707NmT7t272+fv7e3aC3sSEhJtg3TU1cmI8hMdPCeKT2C21P7isZU5ahzczRFqlDkGe7TLMrbmYCt3bFT4qs73UnfQMkcARVAQch8fMJvRp5x06li2UsfAbuFOHac1+LdVzlcj+V5Wq5WnfjjKwfQSvNQKPlg0HK2q5QZduYcbvtdFgQCV+3KpTGy8i6e7Us7HsSPoF+pFQbmBGz7aTZYjBIAWYsv38m6obMnDH0beJt5v4w6PPx/JpkxnIszHncsiHL+PtRExPAiFSk5JbiXZJzuGC6QjMiUmiFE9/TCYLLz6SytLwQ99WUP0uglmviGJXk4kaYd4QtxnZDBuDbhbXU5QtZMwL6neRVTuCnt8REdxfbV3CgsLmTx5Mp9//jmJiYmcPn2ab775hldeeYVZs2bZlwsPD2fbtm3k5ORQXFwMiNlTGzZs4NChQyQkJLBgwQIslqY1wZg4cSLHjh3j6NGjXHbZZfbH1q1bx/Dhw+3uIw8PD+644w4efvhhtmzZwrFjx7j11luprKxk8eLFANx5551kZGRwzz33cPz4cX788UeefvppHnzwQWQyGVqtlgULFvD888+zd+9ejh49SmxsbJO6OjbEs88+y0svvcSbb77JiRMnOHz4MKtXr2bVqlUABAUF4e7uzpYtW8jNzaW01DGf2YiICIxGI2+99RanTp3is88+s4fe12T8+PGEhISwcOFCevbsWcuZtnDhQgICAliwYAG7d+8mNTWVuLg47r33Xs6ebaOmRhISEi5FOvLqZHT37I67wh2dWceZsjP2x82legxnxIwId2cKXx24zNFGeLXwlXWyFF1F/fkuHbmjow1BEOyuL70Tyx31lZWU5ecB7dzxFVbt+Mpy8kGQXfgafNGnP9+dzvp9GcgEeGvBUMIDWp+bp+7tg+cEUdgr3nASU4mu0XW81G6s/ddIegV4kFWq44aPd1NQ7lxnYH3Yg+0vlu9Vk7H3iK6vnMNwfFMbzEzkqz2iWHrdiG4tcuY1FaVaQeRw0cVi61on4XgEQeDxf4iOnO8PZXIks4UncIe+gB/uAKww7GaY+bokejkRXbmR1EOisN8uQ+1rYnd8Nfzda8v5ypFyvhyCVqtl1KhRvPbaa4wfP57+/fvz5JNPcuutt/L222/bl3v11Vf57bff6NatG0OGiBepVq1aha+vL2PHjuWqq65i+vTpDB06tEnjDhgwAB8fHwYPHoxWKzaomThxImaz2Z7vZePll19mzpw5LFq0iKFDh3Ly5El++eUXfH3FTsFhYWFs3ryZPXv2MGjQIG6//XYWL17ME088AYDBYODxxx9n5MiRXHfddUydOpXLLrvsotlZzeGWW27ho48+YvXq1QwYMIAJEyawZs0au+NLoVDw5ptv8v777xMaGlpLSGwNgwYNYtWqVaxYsYL+/fuzbt06XnrppTrLCYLA/PnzSUhIqOX2AtBoNPz55590796dW265hcsuu4zFixej0+nw8mr/jSMkJCRaj2DtALUSZWVleHt7U1paKu2cmsANm28gIT+BFf+3git7XQlAeXwmJT+dQtnDi6A7HC/U/PrREVL25THm2t6dInfmy+d2U5RVwbR/9aXPyLqdacylpZwYJXbKifx7J4rqg5GOSO5LL1G09lN8b1xEyGOPOWWMzOQkvnrqYbR+/ix5d61TxnAEGccO8/Wzy/AOCuaWtz52ziAmA7wUBmYD3HsQ/Grnw+05XcSCD3dhslh59Ipobp/Q22FDW80W8t9LxJBxDmW4F4G3DURogkiTVVLFP9/7m8ySKvqFevHlbaPxUrdtSfM3L+8jL62MGUv603tII+VL256Dv16F4AGw5E+nCw2n8suZ/Op2ZALEPzqZLt6NiHOtJOdUKd+9sh+Fm4zYFeMunnkm4RDu/fIgGxOyGBfhz+eLRzXP0XxwHfx4F2CF4YvhypWS6OVkErZlsOObFAK7ezLvsYvnZrUbqkpgRfXx0qPpoL54udXRvzKJW5dMWJQPsx9omsjSVuh0Ok6fPk3Pnj1RN6GjokTbUFJSQmVlJWq1Gj8/P1dPp11hsVjIyckBxPJNR+eTSUhIOJ6GvmuaoxNJR2CdEHtnx+LzVxErj1R3cxzgnBKc4tyO39GxJjbX1+l6yh2rEg8D4Naje4cWvaBtOjt2hHwvOJ/xVZqfh9HgJGdT3jFR9FLXDbbPKqniznX7MVmszBzYhSXjHds0QZDL8Ls+CkElx5BWxrnf0xtfCQj1ceezxSMJ0Co5mlXG4jV7qTI4NsOjIaxWq5gjSCMZXzbG3A1KT8g9DMf/5+TZwfp9ottrYlSQ00UvgOCeXviFemAyWkjZm+v08S5lHp4ehVIuI/5kIXEnGi8RtnPgs/Oi14hb4B+vSqKXk7FarXYXZLsOtbfh7gOe1a60hjo79qoOuE87h8XS7q9VS7gYi8XSolD7SwWZTGYXu0wmk4tnIyEh0ZZIR2GdELvwVSgKX+ZzBgxptjJHf4ePZ7VYKbFnfHX8Ukc4n/OVfqQQs6lufkNnKHO0cb6zY7LTwrILMtIACOjWvt2AGm8f1B5asFopzsp0ziD2YPvBtboO6oxmlny2n4JyAzFdvHhl7kCn5OUp/N3xmS12hyzblo4+rWklXL0Ctaz910g81Qr2phVzx7r9GC7yv+EMdOVG9JXiAap3YBOEJY0fjL5dvB/3MjQxg6UlGEwWvtsvlsY6M9S+JoIg2Mu4bN3rJJxDNz8NsePCAXj9t8aDoQE48ClsvBuwiplzV65s8w6jlyK5aWUUZVUgd5MROSLY1dNpGk3I+fLt4oGbSo5Jb6Yoq6Le5SQkACorK7FarSgUCnvYvERtbJ0eJeFLQuLSQhK+OiH2zo7FopBRdbQArKDs5onCx/FW9HPFOkxGCzK5gFdA57C6B4d74e7phkFnJutkSZ3nO5PwpYyIAIUCS2kppmr7t6MpSK8Otm/nji9BEPB1ds7XRYLtrVYrj31/mMOZpfhq3Phg0TA0ypaH2TeGx5AgNEOCwApFXyVjqWrawV+/UG9Wx45A7SYjLjmfB78+hLkNHAi2jo5aPxWKpoZVj7kLVF6QdxSSNjptbr8fz6Wg3ECgp4rJ0W3XQa7PqGBkCoH89HPkp59rs3EvRZaM74WbXCDhbClJ2Y3kLO1fAxvvEe+PXAJXvCKJXm2ELdQ+YmhQxyn/bULOl0wmiN0dkQLuJRrGarVSWSl+X3p4dPxmU85CEr4kJC5NJOGrExLhE4FckFOkKyK/Kp+qROeWOdrcXt5BGmTyzvGREmQC4dXvV1pC7XJHq8VCVWIiAO6DBrf11ByOTKlEVR1Mqjvu+IB7q9XaYUodoQ06O2YdEn/WCLZfHZ/GhgOZyGUCby8YSjc/5zsnfWb1Ru6nxlyip/j7lCa7/YaH+/H+ouG4yQX+l5jNEz8cdppT0EZJnli20aQyRxvuvjD6DvH+9hVOc319tVf8nMwd1hW3Ntz/uWuV9BocCECSFHLvVPy1KqbGiA6ir/c1sF/Ytxp+uk+8P+oOuGKFJHq1EQadiRP7xAYqfS/rAGWONprg+ILzAfe5UsC9RAMYDAZMJhOCIODu7vyy+46KTfgyGutvYCUhIdH56BwqhUQt1Ao1Pb1FIePE2ePoq68QOqObI3Sujo41qZnzVfPE3pB2BktpKYJKhTqqj6um51DOd3Z0fM5XeXEhuopyBJkMv7C2KQVrDbacr6JMJzi+THrIPSrer3Z87TxZwAubxZOex66MYVyEc/5PL0SmVuB3fRTIBKoSC6jcn9fkdSf0CeT164YgE+DLPRm8/PNxp4pf9o6OzS2lHn0HqLzFXLWkHx0+r8ySKrZX5z5dN7ztP9u2csfkPbmY2jBz7VJkXvXf94eDmehNF3mv934M/7tfvD/6TpjxkiR6tSEn9+dh0pvxDnKnS4SPq6fTdJrY2TG4OudL6uwo0RAVFWIprLu7OzIpU7Be3NxER6jk+JKQuLSQ9oqdlCg/Mbfp3JEcsIJbVy0KP+eUIdqD7TtJvpeNbjF+yN1knCvU1crVsJU5qvv3R3DrIOUUjWDP+XJCwL2tzNG3SxiKDvB++TnT8ZV3DCxGUPuATw8yiiq564sDmC1Wrh0Sxr+qs4TaClV3L7ymiblrJRtPYsyvbPK6/xjYhZeuHQDA+3+e4p24VKfMEaA0txnB9jWp6fqKc7zr65t9GVitMKaXP+EBbR8i3DXKF09/NYYqE6kHmxG8LtFs/i8ygGAvFcWVRrYlXSAS7/0INj0o3h9zN0x/URK92phjO2yh9qEdq7wrUPzu5Vy22OWxHoKrSx2LsyvQV0ouFYm6mM1mdDodABpN5zoedzQ2x5fFYsHixAxQCQmJ9oUkfHVSon1FB49nqvgndpbbC6AkRxSFOpvjy00lp2u02LGxZnfHqoRDQOfI97JxvrOj40sdO1KZI4BfdcZXcXYWFouDXTQ18r2qjBZu+2w/xZVGBoR58+K1A1xywuY5oSuqXt5YDRaKvkrG2ozA+utGdOfxK0XHwn9+SeazXWecMkeb48s7qAWlGzbXV34SHPveYXMyW6x8XV3meP1I1zgZBZlAzFixrMt24i/hHBRyGXOGivuGWuWOez6ETQ+J98fcDZc/L4lebUxhVjm5p8uQyQSiRoe4ejrNQ+0FXuLnqiHXl8ZLac9QzUuTMv0k6mLL9nJzc5NC7RtBJpPZHXGS60tC4tJBEr46KVF+UXiaPOhWKGbAaJwofNlKHX1COl/bZFt3x7Rawld1vtfAgS6ZkzOwOb4MZ85gqWy666cp2ISvwHbe0dGGd1AwcoUCk9FAWb6DXTTV+V7WLoP593eJJGWX4e+h5L1Fw1C7NTG03cEIMgHf66KQaRQYM8sp/bV54tWt43txz2SxS+RTPx7hx0OO7YZptVjPZ3y1xFXq7iMG3UO168sxYuZfKflklerwdndjej/XnWxHj+mCIEBWSom9CYCEc/hndbnjnyfyyS6tgt0fwOal4pNj75VELxeRVN3ZNHxgAB7eKhfPpgU0MecruKet3FEKuJeozYWh9hKNIwXcS0hcekjCVycl2i+aMeWDkCNDHuKOIsA5IZf6KhOVZQag85U6AvaA+9zTZVSU6rFUVtpzsNwHdx7HlyIgAHlAAFit6FNSHLrt/AxRSOkoji+ZTI5vlzAAirIcXO5Y7fj6rSSUnxKyUMgE3lk4lDAf14bQKrxV+M6JBKD8z7PoUoqbtf6D0/pw05geWK3w4NcJbEvKddjcykv0mI0WZDIBL/8WlmuPvh3U3lCQDEcd4/r6ao/42bhmSJjLREsATz813fv5A5C0U3J9OZOeAR6MDPfDYoWTG1fCzw+LT4y7H6Y9J4leLsBstJC8S+xGHDOuA4Xa1ySwWvhqJOcrpJcUcC9xcfR6PWazGUEQUKs7R3d1ZyMJXxISlx6S8NVJ8VX7MqViFAClvZy3U7d1dPTwVqJ0VzhtHFfh4aMiqIcnAGeOFFJ15AhYLCiCg3EL6WAlFY2g7iMG9escGHBvMZvtWVkdRfiCGgH3Zx0ofBl19iv6yw+IZQhPXdWXUb38HTdGK3DvF4DHKPEzXfR1MuZyQ5PXFQSBp6/qxzVDwjBbrNy57gC7ThU6ZF62MkevQPeWd41Ve8OYe8T721vv+so/p2drtbjnqjLHmthC7pP+zsFslvJKnMm8Ed24Wf4z/5e6Unzgsgdg6jOS6OUiTiXko6sw4uGjsgvAHY6g6oD7Zji+nN1JV6JjYQu112g0yGQyBEHghx9+cPq4bTWOM7iws2N4eDivv/56q7c7ceJE7r///lZv51IiLS0NQRA4dOiQq6ci0cmRhK9OiqXSSL9zvQFICkp32jjFueKXbWcsc7Rh7+6YUGAPtu9M+V427J0dHRhwX5ydhdloxE2lxjswyGHbdTZ+XasD7rMc2Nkx7yhYjBTjSYY1gHnDu7JodPsq//T+Ry8UQRos54wUf5vSrJMrmUzglbkDmRoTjN5k4Za1+0g8W9LqOdmD7VvrKB21RGwqUHACjmxo1aY2HDiLyWJlcDcfokO8WjcvB9BjoD/unm5UlRk4c9gxgqPExbm66nuedvsMgMwBd8KUpyXRy4UkxYsux5ixXZDJOujfoYmdHQO6apErZOgrTJRWl39LNB9BEBq8PfPMM06fwzPPPNPoPJqKyWRCr9cDl26o/fbt25k8eTJ+fn5oNBoiIyO56aabMBjqv4DXWsdXXFwcgiBQUlJS6/ENGzawfPnyFm3TUdT8HHl7ezNu3Dh+//13+/OOEufqew9sxMbGMnv27FaPIyHhKCThq5NSlVSE3CrjtCqTg+YjThvHlu/V2YLta9JzkCh8nU0qoiJBfC87o/Bl7+zoQMdXQUYaAAHdeiB0oNbaNsdXYabjhC99+gEADpvDGdzNl+dm9W933cdkSjl+86NBIaA7XkTF39nNWt9NLuPtBUMY08ufcr2Jmz7ZQ0pu64KYS3LFE7wWBdvXRO0FY+8W77fC9WW1WllvC7Uf4Xq3F4BcLiN6THXIfbxU7ug0dr6NcusTALxpms2rpnmS6OVCygqqyEgqBgF7k4cOSaDotqY8FyqL6l1MrpAR2F10oOdKOV8tJjs72357/fXX8fLyqvXY0qVL7ctarVanlMItXbq01phdu3blueeeq/VYU7FleymVStw6QOdsR3Ps2DFmzJjB8OHD+fPPPzl8+DBvvfUWSqUSs7n+73mb8GU2mx3qoPTz88PT09Nh22spq1evJjs7m/j4eAICApg5cyanTp1y9bQkJFxKxzkTlWgWVYfFMPYdngc4XuT4Tn02Si4B4cs/TIvWT4XJaOFsajnQufK9bNg7OyYnO+wg4HxHx/blbGoMvzDHOr6sViv7/havtp10i+S9G1wXZt8Yyi4e+FzRE4CSzacwZFc0a321m5wPbxrOoK7eFFcaWfTxHjKKWh66bit19AlywD5m5BJw94XCFDj8bYs2sed0EacKKvBQyrlqUGjr5+QgbOWO6UcKKS/WuXg2nZD4N+HXxwHIGnQvq0z/ZPORHM7pjC6e2KVL0k5RHOga5YuXk3JM2wSVJ3hXi+iNuL6Cq3O+cqScrxYTEhJiv3l7eyMIgv3348eP4+npyc8//8ywYcNQqVTs2LGD1NRUZs2aRXBwMFqtlhEjRrB161b7No8fP45Go+GLL76wP/b111/j7u7OsWPH6sxBq9XWmodcLsfT09P+u9FoZN68efj4+ODn58esWbNIS0urtY1PPvmEfv36ERgYyJAhQ3jiiSdqPV9QUMA111xjd0Bt3LjR/pzNqbNt2zaGDx+ORqNh7NixJF9w4fPdd9+ld+/eKJVKoqKi+Oyzzxp8bw8fPszkyZNxd3fH39+f2267jfLycvvzJpOJe++9Fx8fH/z9/XnkkUe46aab7K6gTz/9FH9/f7uDzcbs2bNZtGjRRcf89ddfCQkJ4ZVXXqF///707t2bGTNm8OGHH+Lufn6/8N1339GvXz9UKpW9rNF28fFCcfNipXclJSUIgkBcXBxpaWlMmjQJAF9fXwRBIDY2FqjrpiouLubGG2/E19cXjUbDFVdcQUqNLN01a9bg4+PDL7/8QkxMDFqtlhkzZtQSP+Pi4hg5ciQeHh74+Pgwbtw4zpxpuBGRj48PISEh9O/fn3fffZeqqip+++03YmNj2b59O2+88YbdFWb7bB05coQrrrgCrVZLcHAwixYtoqCgoMFx6uOZZ55h7dq1/Pjjj/Zx4uLiANizZw9DhgxBrVYzfPhwDh482KIxJCSaiyR8dUIsOpM9nHqH10FOlpzEaHHOwXlxTnWpYycMtrchCAI9q0Pu89x6gEKBum9fF8/K8ah69URwc8NSXo4x0zGd+fLTO1awvQ2/6nB73bkyKstaf2X9nbhUfEqOAjBhwjRCvNt3+KzH2FDU0X5gslL05XEshua5o7QqBWtuHkmfYC05ZTpu+Hg3eWUtE2Pswpcj9jFqLxhbnfX121NQmNrsTXxV7fa6alAoHqr2k2voE6whNNIHqxWON9OpJ9EI8W/Ab0+K9yc8SpfZz9E7UIvOaOF/idJ77QosFqtd+Op7WfsRoFtMYNM6O4ZU53y114B7q9WKxWB2yc2Rrp1HH32Ul19+maSkJAYOHEh5eTlXXnkl27Zt4+DBg8yYMYOrrrqK9HQxSiQ6OpqVK1dy5513kp6eztmzZ7n99ttZsWIFfZt5vGg0Gpk+fTqenp789ddfxMfH28UQW+neu+++y1133cXNN9/M1q1bWbt2LVFRUbW28+yzzzJv3jwSExO58sorWbhwIUVFtR2Fjz/+OK+++ir79u1DoVDwr3/9y/7c999/z3333cdDDz3EkSNHWLJkCTfffDN//PHHReddUVHB9OnT8fX1Ze/evXzzzTds3bqVu+++277MihUrWLduHatXryY+Pp6ysrJaGWH//Oc/MZvNtUS6vLw8Nm3aVGtuNQkJCSE7O5s///yz3vd0//79zJs3j+uvv57Dhw/zzDPP8NRTT/Htt+IFsOa6+rp168Z3330HQHJyMtnZ2bzxxhsXXTY2NpZ9+/axceNG/v77b6xWK1deeaU9WwxE197KlSv57LPP+PPPP0lPT7c7D00mE7Nnz2bChAkkJiby999/c9tttzWrYsAmABoMBt544w3GjBnDrbfeancXduvWjZKSEiZPnsyQIUPYt28fW7ZsITc3l3nz5jXrvbGxdOlS5s2bZxfxsrOzGTt2LOXl5cycOZO+ffuyf/9+nnnmmVouSwkJZ9J+jtolHEZVUhGYrSiC3CnSlmM0GjlVcooov6jGV24GZrOF0nyxDMm3E2d8AYQPCuDw9kwK/AegcktE5t6Bry7Xg+DmhjIiAn1SEvrjx1F27drqbZ4vdQxv9bbaEje1Gq/AIMry8yjKzEDj5d3ibf1+PJe3fj3MbUrRPdZ70P85appOQxAEfOdGkvvGAUx5lZRuPo3v7IhmbcPXQ8lni0cx972dnCms5MZP9vDVbaPx0SibvA2z2UJZgSiYOcTxBaLrK/EbyE+CNf+Am/4HAU17baWVRjYfFk+2rx/Z3THzcSB9x3UhK6WEpJ3ZDJsRjtBRM4/aEzteg63PiPcnLoOJjyIA143oxoubj/P1vgzmt8PPQmcn/WghFSV6VB4Keg0KdPV0Wk9QNJz8DfIbjhoI7ik6vgrOlmM0mHFTti/nsNVoIeupnS4ZO/S5sQgOej+ee+45pk2bZv/dz8+PQTUiLpYvX87333/Pxo0b7cLOnXfeyebNm7nhhhtQKpWMGDGCe+65p9ljr1+/HovFwkcffWQXN1avXo2Pjw9xcXFcfvnlPP/88zz00EPExsZiMBjswlhNYmNjmT9/PgAvvvgib775Jnv27Km13AsvvMCECRMAUez7xz/+gU6nQ61Ws3LlSmJjY7nzzjsBePDBB9m1axcrV660u51q8sUXX6DT6fj000/x8BDPCd5++22uuuoqVqxYQXBwMG+99RbLli3jmmuusT+/efNm+zbc3d1ZsGABq1ev5p///CcAn3/+Od27d2fixIkXfb/++c9/8ssvvzBhwgRCQkIYPXo0U6ZM4cYbb8TLS/x/WbVqFVOmTOHJJ8ULGH369OHYsWP897//Zc6cOc0WvuRyOX5+fgAEBQXh4+Nz0eVSUlLYuHEj8fHxjB07FoB169bRrVs3fvjhB/trNBqNvPfee/TuLWYz33333Tz33HMAlJWVUVpaysyZM+3Px8TENHmulZWVPPHEE8jlciZMmIC3tzdKpRKNRkNIjSZdb7/9NkOGDOHFF1+0P/bJJ5/QrVs3Tpw4QZ/qBlhNRavV4u7ujl6vrzXOmjVrsFgsfPzxx6jVavr168fZs2e54447mrV9CYmWIDm+OiG2Mkf3AYF2sSu52HG5TTbOFeiwmK0olDK0PiqHb789ERbpi0IwY1B5o4sZ5+rpOA119RVDnQMC7g26KkpzxTbzHa3UEWp0dmxFuWNqfjn3fXmIaNJxE8ygCQDv1guKbYFcq8Rvnvh5qNiVTdXR5tvdg73UrFs8miBPFcdzznHzmr1U6Jt+gHmuQIfVIu5jPHyaLpg1iEoLN/0kBkqfyxbFr4KUxtcDfkzIRG+yEB3iyaCuLRdDnUWvoUEo3RWUFeg4e6LY1dPp+Pz1ag3R6zGY+Kj9qWuGdEUuEziYXtLqHDuJ5pMULwrQ0aO6IHfrBIey9oD7hh1fWl8VHt5KrBYr+Wekz52zGD58eK3fy8vLWbp0KTExMfj4+KDVaklKSrI7vmx88sknJCYmcuDAAdasWdOiHM+EhAROnjyJp6cnWq0WrVaLn58fOp2O1NRU8vLyyMrKYsKECXYH2MVC7QcOHGi/7+HhgZeXF3l5efUu06WLmJNnWyYpKYlx42of744bN46kpIt/RpOSkhg0aJBd9LItb7FYSE5OprS0lNzcXEaOHGl/Xi6XM2zYsFrbufXWW/n111/JrK48WLNmDbGxsfW+l3K5nNWrV3P27FleeeUVwsLCePHFF+nXr5+9XLC+13Lq1CnMZrNTctxs4yoUCkaNGmV/zN/fn6ioqFrvo0ajsYtaIP4tbH8HPz8/YmNjmT59OldddRVvvPFGkzLg5s+fj1arxdPTk++++46PP/641t/7QhISEvjjjz/snzmtVkt0ddOr1NTmu+Prw+aiVKvPVz6MGTPGYduXkGgIyfHVybDoTehOiFZmzYAAotOj2Z+7n+NFx7m699UOHatmmWNndxbI3WQE6M+Qo+xFvk/Tr7R0NFTVAff65NbnwhVmiAeEHj6+rXJMuQq/sG6kJRygKDOjReuf0xm57dN9nNOb+EdgLpwDQgd3qDBsdaQv2vFhlP+ZSfF3KSi7eiL3bp7I3d1fw2eLRzHv/b85mF7CbZ/t45PYEagUjV+ZL6nu6OgdpHFsIwBtIMT+D9ZeLXbbXDOzWgyr/4qm1Wrlyz3iZ+G6Ed3aXWMCADelnD4jgjnyZyZJO7LoFu3n6il1XP5cCb9Xd+aa9ARMeLjW04GeKiZHB/HbsVy+3pfB4//ofOXv7ZXKMgNpiaIQHzOuA4fa1yTIVurY8HevIAgE9/Lm1MF8ck6XEhrp4/y5NQPBTUboc2NdNrajqCnegFi29dtvv7Fy5UoiIiJwd3dn7ty5dboGJiQkUFFRgUwmIzs72y4mNYfy8nKGDRvGunXr6jwXGBiIrLpRkE4nuqHVarU9qL0mFwbdC4KAxWKpdxnbd9qFy7Q1Q4YMYdCgQXz66adcfvnlHD16lE2bNjW6XlhYGIsWLWLRokUsX76cPn368N577/Hss882uu6FwpftPa5ZPluzNNHRXOxvVXPs1atXc++997JlyxbWr1/PE088wW+//cbo0aPr3eZrr73G1KlT8fb2JjCwcVdseXm53Z13IS35HEtItEc6wWUyiZrojheByYoiwB1FsIZoP/FgyhkB9+c7OnbuMkcAi8GA35m/Acgq07p4Ns5DXX11xxGOr3x7sH14q7flCuyOrxZ0drRYrDywPoHU/ApCvNTc0L1QfCJ0iCOn2CZ4Xx6OW5gWS6WJovXJWC3Nz1GJCvFkzc0j0CjlxJ8s5N4vD2IyN35w7dBg+wvxCICbNkJQPyjPgbUzGywzOpxZSlJ2GUqFjGuGhDl+Pg7ClneUeigfXbkUvN4itv/nvOg1+ck6opeNecPFQPINBzIxNuHzLOEYju/KxmKxEtzTC/+wTvJ9HFAdRVGR12BnR4DgcLF8qz3mfAmCgEwpd8nNmRcj4uPjiY2N5ZprrmHAgAGEhITUCZsvKioiNjaWxx9/nNjYWBYuXEhVVVWzxxo6dCgpKSkEBQURERFR6+bt7Y2npyfh4eFs27YNuLjbyxHExMQQHx9f67H4+Ph6M8tiYmLswl/N5WUyGVFRUXh7exMcHMzevXvtz5vNZg4cOFBnW7fccgtr1qxh9erVTJ06lW7dmtdB2dfXly5dutjnUt9riYyMRC6X1xG+bEJRTWdVzaB7ELto2l5DfcTExGAymdi9e7f9scLCQpKTk5ud/TZkyBCWLVvGzp076d+/f61GChcjJCSEiIiIi4peF+t4OXToUI4ePUp4eHidz92FQnBTudg4MTExJCYm2oVbgF27drVo+xISzUUSvjoZ58scAxAEoZbw5cjgT4Di3M7f0dGG/vhx/HMTwGqhKM9AWWHzD2Y6AqrqUkdjRgbmGp14WsL5fK+OV+YI4F/d2bGwBcLXG9tS2JqUi1Ih4/1Fw3AvOCI+0WWwA2fYNggKGX7XRyEoZehPlXJue8tKP4d09+WjG4ejVMj45Wguj244jKUREa0kT/w/8wl2UqaeR4Do9AruD+W5ovOrHseFze11Rf+QZuWUtTWB3T0J6KbFYrKSvDvH1dPpeMStgD+eF+9PeQrG1x+6OzEqkACtisIKA78fz6t3OQnHYbVa7WWOnSLU3oZKCz7VWXGNBdzbOjueKnX4cZ3ExYmMjGTDhg0cOnSIhIQEFixYUMcZdfvtt9OtWzeeeOIJVq1ahdlsblFo98KFCwkICGDWrFn89ddfnD59mri4OO69917OnhW/f5ctW8b777/P6tWrSU9P58CBA7z11lsOea02Hn74YdasWcO7775LSkoKq1atYsOGDfW+poULF6JWq7nppps4cuQIf/zxB/fccw+LFi0iODgYgHvuuYeXXnqJH3/8keTkZO677z6Ki4vriJYLFizg7NmzfPjhh/WG2tt4//33ueOOO/j1119JTU3l6NGjPPLIIxw9epSrrroKgIceeoht27axfPlyTpw4wdq1a3n77bftr+XC/yN3d3dGjx5tb3Cwffv2Ol0ze/TogSAI/O9//yM/P79W90obkZGRzJo1i1tvvZUdO3aQkJDADTfcQFhYGLNmzWrwddk4ffo0y5Yt4++//+bMmTP8+uuvpKSkNCvn60LCw8PZvXs3aWlpFBQUYLFYuOuuuygqKmL+/Pns3buX1NRUfvnlF26++eYGxT0Qu3keOnTIfktISLCPk5iYSHJyMgUFBRiNRhYsWIAgCNx6660cO3aMzZs3s3Llyha/FgmJ5iAJX50Ii8GMLlnMdXHvL3Yh7O3dG4VMwTnDObIrHNt9quQS6Ohoo+pQAm6mCvwRhcW0xEIXz8g5KHx9UQQFAaA/0bTco/oo6KAdHW34hYmOr7KCPIz6pnck/OVoDm9sE9+7F2b3Z1CI6vyJTAd0fAG4BWrwuVrMnyj7LQ19esucBmMjAnh7/hDkMoFv959l+aZjDZ642UodnbqP8fAXxa+QAaLbYm1d8atCb2LjITFv5PoR7T/IvO84URA4Fp8lnRg3h7iXIa462HfqM/B/DzW4uJtcxpxhovvvm30tK4mWaB7ZJ0spya3ETSUnYliQq6fjWJqY8xXY3QtBJlBZaqC8WN8GE5NYtWoVvr6+jB07lquuuorp06czdOhQ+/Offvopmzdv5rPPPkOhUODh4cHnn3/Ohx9+yM8//9yssTQaDX/++Sfdu3fn2muvJSYmhsWLF6PT6exh7ddccw3PPPMMa9eupX///sycOZOUlNYds13I7NmzeeONN1i5ciX9+vWzC231hcxrNBp++eUXioqKGDFiBHPnzmXKlCm8/fbb9mUeeeQR5s+fz4033siYMWPQarVMnz69Vt4TgLe3N3PmzEGr1TJ79uwG5zly5EjKy8u5/fbb6devHxMmTGDXrl388MMP9uD+oUOH8vXXX/PVV1/Rv39/nnrqKZ577jluvvlme5nohd+Vn3zyCSaTiWHDhnH//ffz/PPP13o+LCyMZ599lkcffZTg4OBa3Strsnr1aoYNG8bMmTMZM2YMVquVzZs31ylvrA+NRsPx48eZM2cOffr04bbbbuOuu+5iyZIlTVr/YixduhS5XE7fvn0JDAwkPT2d0NBQ4uPjMZvNXH755QwYMID7778fHx8fe+lnfYwfP54hQ4bYb7bctltvvZWoqCiGDx9OYGCgvUPpTz/9xOHDhxkyZAiPP/74RcsrJSScgWDtAEfFZWVleHt7U1paat/pS9SlMjGfoi+OI/dXE7J0uP0KytyNc0kuTub1Sa8zpfsUh4xltVr5+KG/0FeauO6JkQR07STlBvWQ+dBSyjZtomD+0yRmB9Etxper7+uYIkZjpN92GxV//kXI00/hW90RqLlYrVbevXUhVefKuOGl1wnu1byOgO0Bq9XKO7csQFd+jkUr3iQovFej66TknmP2f+OpMJiJHRvOM1f3g4y98PFU8AiEpSkdKuOrJlarlaIvj1OVWIDcT03wvUOQqVsWE/nd/rM89I14RfD+qZHcP/Xi2Vprl8VTXqxnzr+HEdLLyTlxlUXw6SzISRSbENz0EwSLpQhf78vg398mEu6v4Y+lE9tlvldN9JVGVj8Sj9loYc4jwwjp2fEy9toUqxXiXoLt1Qff056Dcfc1adWTeeVMXbUduUzg70cnE+SlbnwliRazdc0xknfl0HdcFyYt6mR5m789BfFvwIhb4R8NOyDWv7CHgoxypt/a36UCoE6n4/Tp0/Ts2bOOeCHhHAwGAwUF4kXY4OBg5PL21dmzOVgsFmJiYpg3bx7Lly+v9dyUKVPo168fb775plPnUFRUZBcVtdrOfS4jIdFRaei7pjk6keT46kRUHRG/CDX9A2qdmNnKHZOLHNfZseqcEX2lCQTwCXJSGVI7oqratttrpHh1P/NECYYq53SBcTXqqNbnfFWWllB1rgxBkOHXtXnZDO0FQRBq5Hw17uYorTJy66f7qDCYGd3Lj8f/UX1SlnVQ/Bk6pMOKXiC+H77XRCL3UWEu0lHyY8u7/MwZ1pVnrhJFpde3pvDJjtN1ljHqzXY3g1Myvi5E4wc3/gghA6GyANZeBbnHAPhqj9ioYV47DbW/EJXGjYih4slw0o4sF8+mnWO1wh8v1hC9ljdZ9AKICNIyrIcvZouV7w5kOmmSEiAKuqn7xZLSmM5U5mjD7vhqPJPVJmbnni515owk2iG23Cp3d/cOJ3qdOXOGDz/8kBMnTnD48GHuuOMOTp8+zYIFC+zLFBcX8/333xMXF8ddd93l9DnZHF/O6uwoISHRfpCEr06CxWAWg+0R871q4oyA+5Jc8YvXy1+NQtmxvnibi6mgAOPZsyAIhFw2GJ9gDRazlfRjDQfQdlTsnR2Pt/zzYgu29wnpgpuyeV0A2xN+Tcz5Mlus3PfVQdIKKwnzcee/C4biJq/evWYfEn92wHyvC5G5K/C7PgoEqDyYR+XBlucaxY7ryYPTRKfXc/87VqdUrDRfLHNUeShQa5tWEtBqbOJXl8HV4tdM0o7t4UB6CXKZwNxhXdtmHg6g72ViF6YT+/Iw6KQD+otitcLvz8Ofr4i/X/4CjLu32ZuZN1z8XHyzL0MqLXUiKXtzMRkt+IV62APeOxX2zo4NlzoCBPdqvwH3Es7DYrHYA/OdFWrvTGQyGWvWrGHEiBGMGzeOw4cPs3Xr1lp5VUOGDCE2NpYVK1YQVZ0760wk4UtC4tJBEr46CfoTxVgNFuQ+Ktwu6HIU5Sd+cTjS8WXr6OgT3Pk7OlYlJgKg7N0Luacn4QNFYfF0Yr4rp+U07J0dU1KwtrCtdYG9o2PHDLa3Ycv5KspqWPh69ddk4pLzUbuJYfb+2hpiX03HVydAFe6N1xQx56r4h5OYWtHo4Z7JESy+rCcAj3yXyJYj53MIS3Krg+3bwu1VE40f3PiD+PeqLCTou7nECGeYEh1EkGfHKeXpEuGDd5A7Jr2Zk/ul4PU6WK1i58a/qkvKpr8IYy+e0dIY/xgYirubnFMFFew/U+zASUrU5Jgt1H5caIdwXjabgCjEqwoFUFHQ4KI2x1de+jnMJqmj6KVCZaV47K1QKOxdBTsS3bp1Iz4+ntLSUsrKyti5cyfjx4+vtUxaWhqlpaUtagzQEiThS0Li0kESvjoJlRd0c6yJzfGVVZFFqd4xtnib8HUpdHSsShCFL/dBgwDoWS18nTlciKUTtrBX9uiBoFJhrazEmJ7eom3Yg+27hTtwZm2PrbNjQ6WO/0vM4p04sexvxZyB9A+rkadkqDxfthI62FnTbHM8J3VHGe6FVW+m6KtkrC38PxAEgSf+EcO84V2xWOHeLw+xI0Xcl5XktUGwfX24+8KiH7CEDkVjLmWd8gVuiaxofL12hCAI50PupXLH2litsO1Z+OtV8fcZL8OYlpfUaFUK/jFQdNh9LYXcO4X89HPkp59DphDoMyrY1dNxDkoN+FZfLGrE9eUd5I5Ko8BstFCY2boOzBIdA6vVai9z9PDw6JzirwuwCV8Wi6XR7oUSEhIdG0n46gRYjRZ0SRcvcwTwVHoSphWzqRzl+rq0hC8x38smfIX08kLt4Ya+0kR2aufL1xAUClSRkUDLc74KMtIACOygHR1t2DK+irMzsVjqHhAlZZfx8DeiMHrb+F7MGhxWe4Gcw2C1gDYYPLs4fb5thSAX8LsuCkEtx5BxjrKtLRNIQRRoXrp2IFf0D8FgtnDbZ/s4kF5Mqa2jY1s7vmy4+7BlyLscsvTGTyhnxJ83QXaia+bSQqJGhyCTCeSeLqMwSzo5BkTRa+vTsOM18fcrXoHRd7R6s9eNEEXy/yVmU6GXnAOO5li8KN72GhyIu7bjOV2aTBNzvgRBILja9ZVzSip3vBQwGAyYzWYEQcDdvfNn67YVMpnMnpUmub4kJDo3kvDVCdClFGM1mJF7q1B287zoMo7O+bJlfHV24ctqNqNLtDm+BgMgk8voMcAfgLTEhssROiq2nC9dcvM/LxaLmcIMUQjp6KWOXkFByN3cMBuNlOXVLhcrrjBw22f7qDKa+b/IAP49/SJZFDXzvTrZ1VmFrxrfa0WB9FxcBrrUkhZvSy4TeP36wfxfZACVBjOxn+wh6+w5QHQ2uIp1CSUsMiwjW9sfoapYDLzPOuSy+TQXD2+VvTQ7KT67kaUvAazW853zAK74D4xqeUv4mgzv4UvPAA8qDWY2JUrvtSMxGsyc2JMLYHcxdlqakfMVYs/56nwX4CTqUjPUXiaTTt8ciVTuKCFxaSDtOTsBVbYyx/7+9VqfHSl8mQxmygp1QOfP+NKfTMVSWYlMo0EV0dv+eHi1s+50QkGnDDO2dXbUt8DxVZKTg8loQKFU4R0c4uiptSkymRzfLqKLq2bOl8ls4Z4vD5JRVEV3Pw1vzR+CQn6R3Wkny/e6EM3AQDTDg8EKxeuTMVcYW7wtlULO+4uGMayHL2U6E3nVDiWXlDoC6YWVxJ8spFzQYF74HXQdAboS+HRWhxK/YsaJTsPkXTmYjZ2vNLvJWK3w6xOw803x9ytXwqjbHLZ5QRD4Z3XIvVTu6FhOHcjDUGXC019N1yhfV0/HuTSjs2NwT1H4ypEC7js9ZrMZnU487vbw6NzH3a5AEr4kJC4NJOGrg2M1WahKKgQuXuZowy58Fbde+CrJqwIrqDQK3D3bqNuai6hKOASAeuBAhBpto7v380OmECjNr6KkuiSrM6FuhePLVubo37U7MlnH7/h5vrPj+ZPZFVuOs+NkAe5ucj64cRg+mnpKb2wCSSfK97oQn6t7owhwx1xmoHhDSquEYI1SwSc3jWBAoBa1RRTx9SrXfE2t3ye6Fi+LCKBrlxC4YQN0HVktfl19XtRs53Tv64eHjwpdhZFTCZ2zIUejWK3wy+Pw99vi7/94FUbe6vBh5gztikyAfWeKSc2XSksdxflQ+y4Iss7lnK1DTcdXI/tSW2fLsvwqqs4ZnD0zCRdiC7V3c3PDza1zH3e7Akn4kpC4NJCErw6O7mQJVp0ZmacSZff623vbhK/TJafRm/WtGrM453yZY2cP17ww38uGUq2gax/xyvPpTljuqOrTBwBTVjbmsuZdTe4sHR1t2HK+ijJFx9cPBzP58K/TALw6bxDRIfX83+nLoaDaMddlsLOn6TJkSjl+86NBLqA7WkjFnpxWbc9b48Z/ZvQD4JxgJfbzfRRVtO1Jncls4Zt94t97/kixgyVqL1i0AbqNAl2p6PzK3N+m82oJMrmMcVzbswABAABJREFUmLGi6ysp/hIMubda4ZfHYNd/xd9nvgYjbnHKUMFeaiZGBQHYPz8SraMkt5KslBIEAaLHdJ6cxHrxjwQEqCqCioaFapXGzR43kSu5vjotF4baSzgeSfiSkLg0kISvDk6tMscGroQGa4LxUflgspo4WXKyVWPaHE4+IZ3/C7g+4QuwZ+d0xpwvubc3ilDxJEOf3LxyR1tHx44ebG/DP8wmfGVwJLOUR74TM9/umtSbKwc0cCJmC7b37AJenfuETRmmxXt6OACl/zuFMbd1HRCFc2LJZIUSTuaVc9Mnezina3kZZXP5IzmfvHN6/D2UTI2p0UFO5Qk3fAfdRleLX9fA2fYvftmEr4ykYsoKqlw8mzbEaoUtj8Kud8TfZ74Ow//l1CHnDRcdot8dOIupE3b9bWuSdopibff+/mh91S6eTRug1IBvuHi/CTlfwb2qA+6lnK9Oi06nw2KxIAgCavUl8D/gAmzCl9lsxmKR9tsSEp0VSfjqwFhNFqqOimWOmgGBDS4rCAJRfmL5Wms7O9o7Orooe6etMJeVYTiZCoD7oIF1nrcJXzmppZ2yzMCW89Xczo62UseAbuEOnpFrsJU6FpzN4La1e9GbLEyKCuTBaRcJs69JzWD7SwDtZWGoIn2wGi0UfZmMtRV5UiV5ojgzfEAQfh5KDmeWcsvafeiMbdNqfP1escxxzrCuKBUXfE2qPOGGb6H7GNCXwmez4ey+NplXS/EKcKdrtOhQTdp5iQSvW63w8yOw+z3x96vehOE3O33YydFB+HsoyT+nJy75Ei0tdRBms4Wkv0UHaacPta9JkC3nq/Hv3pCetoB7yfHlDGJjY5k9e7ZL52Arc9RoNE4JtV+zZg0+Pj4O325zSEtLQxAEDh061KrtTJw4kfvvv7/Z68nlcnsFS32ur/DwcF5//fUGt2MwGIiIiGDnzp3NnkNbcuzYMbp27Wp3EkpIXCpIwlcHRn+qFKvOhEzrhjK8/jJHG9G+jgm4r1nq2JmpOnwYALdu3VD4+9d53tNPTUA3LVYrnDlS2NbTczot6exo1OsozhFPrDtLqaNvl1AQBAyV5RQXF9MzwIPXrx+CvLGsmU4ebH8hgkzAb14UMg83jDkVlP58usXbsrlKu/fw5tN/jcRTpWD36SLuXHcAo5NdNDmlOn4/LnbwtLl36qDyhIXfQvexoC+Dz66BjL1OnVdr6XuZKBwk7czGYul8DTlqYbXC5odhz/uAAFe/BcNuapOhlQoZ1wwRG2JIIfet48zhQqrKDLh7Ke2dlC8JAqtzvvKb4PjqKTq+ctPKOv//tQOpTyBxtQgkCAI//PCD/XeTyYReL8aTdPQyx4ZEqW7dupGdnU3//v1bNcaGDRtYvny5/femiFU2bNlprSl3fO+99+jZsydjx461PyYIgv3m7e3NuHHj+P3332utl5GRwb/+9S9CQ0NRKpX06NGD++67j8LCuucWR48eZd68eQQGBqJSqejTpw9PPfWUXSC10dBr79u3L6NHj2bVqlUtfq0SEh0RSfjqwJwvcwxoUuBrtH/rhS+rxWo/KfXt5KWO9jLHgXXdXjZs3R07Y7ljSzo7Fp7NAKsVdy9vPHw6R/ctN5Uai8YHgC7WMj5YNAxv9yaEy14CwfYXIvdU4vtPMR+ufGcWVceLWrSdkrzqcupgDf3DvPnopuGoFDJ+P57H0m8SnHqC9+3+DCxWGBHuS0SQtv4FVVpY+A30uKyG+LXHafNqLb0GBaLyUFBRoif9aOcT6u1YLLDpIdj7IXbRa+iNbTqFf1YLpr8fzyP/XOsyNS9ljlVn0kWPDkF+sa65nRWb4yuv8WM1v1APFCo5Rp2Z4mzXuzesVisGg8Elt47SYdtqtTZZXLGJGSqVyl6O1xmRy+WEhIS0+jX6+fnh6enZonVbm/NltVp5++23Wbx4cZ3nVq9eTXZ2NvHx8QQEBDBz5kxOnToFwKlTpxg+fDgpKSl8+eWXnDx5kvfee49t27YxZswYiorOH0ft2rWLUaNGYTAY2LRpEydOnOCFF15gzZo1TJs2DYOh6dUnN998M++++66UayZxSdF596KdHKvZStXR88JXU7A5vpKLkrFYLciE5h9IlpfoMRksyOQCngGdO2ugoXwvGz0HBbBvcxpnjhVhMppRuHX8LoY2bJ0d9SkpWE0mhCYckNiC7QM7idsLRNdGusWTcIq5daCWyOAmHFTpz0HBCfH+JVLqaMM92g/tuFDK47Mo/uYEyvuGIveqp+vlRbBarfZSR58gdwBG9fLnvRuGceun+/jxUBaeagXLZ/V3eHMNi8XK+mqXzvUjuje+gkoLC7+GL66DtL/gs2vFDLDuoxw6L0cgd5MRPaoLCb9nkBSfbRftOxUWC2x+CPZ9Aggw678wZGGbTyMqxJNB3XxIyCjhh4OZ3Dq+V5vPoaNTXqwjvdpJfUmVOUJtx5fVCg3s52QygeBwTzKTS8g9XYZ/WANifRtgNBp58cUXXTL2Y489hlLZ9O+a5vDss8/y9ttvo9frWbBgAW+++aZ9LIvFwooVK/jggw/IycmhT58+PPnkk8ydOxeAuLg4Jk2axObNm3niiSc4fPgwv/76KxMnTmxwTKvVWqvM0WKx8Pzzz/PBBx+Qn59PTEwML7/8MjNmzADEcsGePXvy3Xff8dZbb7F7924iIyN57733GDNmjH27a9as4amnnqKgoIDp06dz2WWX1Rn73XffZeXKlWRkZNCzZ0+eeOIJFi1aZH9eEAQ+/PBDNm3axC+//EJYWBivvvoqV199dYveX9vcDx48yODBg+3v2ZYtW3j00Uc5fvw4Y8aM4auvvmL//v08+OCDZGZmMnPmTD766CM0GrECZeLEiQwePJjXX3+diRMncubMGR544AEeeOAB+3sKsGPHDpYtW8a+ffsICAjgmmuu4fHHHwdE4SsvL4/FixezdetWQkJCeP755xt9Dfv37yc1NZV//OMfdZ7z8fEhJCSEkJAQ3n33XcLCwvjtt99YsmQJd911F0qlkl9//RV3d/GYp3v37gwZMoTevXvz+OOP8+6772K1Wlm8eDExMTFs2LDBXvbao0cP+vTpw5AhQ3jttdd45JFHmvSeT5s2jaKiIrZv386UKVOatI6EREfnErqE1rnQnyrBUmlC5qFAVW11b4xw73CUMiWVpkrOnmtZxylbmaN3oHunvgJrtVrRJYgh5u6D6xe+Art54uGtxKQ3k3mipI1m1za4de+OoNFg1esxnDnTpHU6W77XwfRinvj+CMVuPgCEWJuYo5JzGLCCZyh4Bje6eGfDe0ZP3Lp4YKkwUvRNMtZmOLQqSw2Y9GYEmYBXgLv98UnRQay6bjCCAJ/vSuc/v7Quq/Bi7EwtJKOoCk+1ouHGBTVResCC9RD+f2A4B59fC+m7HD43RxAzTnxNaYkFVJR2MieSxQKbHjwves1+xyWil415w8WmGF/vy+gwTpT2xPG/s7FaITTSB59Onidah4A+IMigqhjK8xpd3FbuKAXcO4dt27aRlJREXFwcX375JRs2bODZZ5+1P//SSy/x6aef8t5773H06FEeeOABbrjhBrZv315rO48++igvv/wySUlJDGygksBGVVUVFosFmUyGWq3mjTfe4NVXX2XlypUkJiYyffp0rr76alJSUmqt9/jjj7N06VIOHTpEnz59mD9/vt3Vs3v3bhYvXszdd9/NoUOHmDRpUh1R5/vvv+e+++7joYce4siRIyxZsoSbb76ZP/74o9Zyzz77LPPmzSMxMZErr7yShQsX1nInOYJnnnmGt99+m507d5KRkcG8efN4/fXX+eKLL9i0aRO//vorb7311kXX3bBhA127duW5554jOzub7GwxhiM1NZUZM2YwZ84cEhMTWb9+PTt27ODhhx8GROErNjaWjIwM/vjjD7799lveeecd8vIa/l/866+/6NOnT6OOM5u4ZTAYKCoq4pdffuHOO++0P24jJCSEhQsXsn79eqxWK4cOHeLYsWM8+OCDdbLeBg0axNSpU/nyyy8bHLsmSqWSwYMH89dffzV5HQmJjo7k+OqgVB2pdnv1C0CQN831oJApiPSN5GjhUZKKkuju1QRHwwVcKmWOxvR0zCUlCEol6ujoepcTZALhAwM4+lcWaYkF9OjXeXJIBJkMdWQkVQkJ6I4fR9W7d6Pr5Fd3dAzoBB0d887puP3z/RjMFkK694AjiRRlNjGz5xLL97oQwU2G3/xo8t46iD6lhPIdmXiO79qkdW37GC9/NfILguWvHhRKuc7EY98f5p24VLzd3VgyofHPZVP5qjrUfvbgMNyVzXBvKj1gwdfw5XVw+k/4fI6YAdZjTOPrtiH+YVqCe3qRe7qM5F05DJ3eSZyZFgv87344sBYQ4Jr3YND1Lp3SVYNCWf6/Y6TklXMoo4Qh3TtH6XdbYLVYORYvnqT2Hde5O+JeFDc1+PaEolTR9dXIxZP2FHDv5ubGY4895rKxnYFSqeSTTz5Bo9HQr18/nnvuOR5++GGWL19ud7ht3brV7qrq1asXO3bs4P3332fChAn27Tz33HNMmzatyePa3F4eHh4IgsDKlSt55JFHuP56cd+2YsUK/vjjD15//XX++9//2tdbunSp3XX07LPP0q9fP06ePEl0dDRvvPEGM2bM4N///jcAffr0YefOnWzZssW+/sqVK4mNjeXOO+8E4MEHH2TXrl2sXLmSSZMm2ZeLjY1l/vz5ALz44ou8+eab7Nmzx+5AcwTPP/8848aNA2Dx4sUsW7aM1NRUevUSXbRz587ljz/+uKjLyc/PD7lcjqenJyEhIfbHX3rpJRYuXGjPG4uMjOTNN99kwoQJPPPMM2RmZvLzzz+zZ88eRowYAcDHH39MTExMg3M9c+YMoaENu1MrKyt54oknkMvlTJgwgZSUFKxWa73bjomJobi4mPz8fE6cOGF/rL5ld+zY0eD4FxIaGsqZJl7YlpDoDHRey04nxmqxUlVdAuDezHKVaL/z5Y4twdbR0aezB9tXlzmq+/ZFaMQ6b+vumJZY0Omu7Kuim5fzZSt17OjB9gaThTs+P0BumZ7egR7cdvVoAIqymuiUvATzvS7ELUiD90zx4LT0lzQMZ881aT1bvpd30MX3MQtGdefRK8TP5Us/H+fLPekOmC0UVRj49WguANeNqCfUviGUGpi/HnpNBEO5KH6daX+dnWqG3HeK/ZXFAv+7TxS9BBlc875TRC9TiR5rM7qKeqnduLK/KNpIIffN42xyMecKdSjdFfQaGuTq6biGZuR82RxfRdkV6Ktcm9cjCAJKpdIlN0eXvtsYNGiQvZQOYMyYMZSXl5ORkcHJkyeprKxk2rRpaLVa++3TTz8lNTW11naGDx/e5DGNRqM9r0mj0VBWVkZWVpZdBLIxbtw4kpJqN0Go6Sbr0kXcB9ncSklJSYwaVbsUv2YZpG2Z5o7j4eGBl5dXo66o5lJzjODgYDQajV30sj3W3DETEhJYs2ZNrb/X9OnTsVgs9r+pQqFg2LBh9nWio6MbbXpQVVWFWn3xCJj58+ej1Wrx9PTku+++4+OPP6712przXezI7213d/c6ofgSEp0ZSfjqgOhPl2KpMCLTKFD1alqZow2b8NXSgHub8NXpOzoeajzfy0bXKF8UShnlxXoKMsqdPbU2Rd2Mzo6VZaVUlpaAIBDQtWMLX8/8dJT9Z4rxVCn48MbhdO0ZDkBZfh5Gna7xDVziji8bHiNDcO/nD2YrRV8lY9E3LhzY872C3etd5vYJvbljouj0euz7w/yUkNXquW44cBaD2UL/MC/6hzVvv2pHqYH5X0GvSWCsgM/nQlp8q+fmSCKGBaFQySnJrST7ZAcvjbJY4Kd74MCn1aLXBzDoOocPo08vI+eVvRR9c6JZ69lC7n9KyKbSIAUINxVbqH2fkcG4Ncd52ZloRmdHjZcST381WCEvzfWur46Al5cXpaV1938lJSV4ezd9/19eLh7zbdq0iUOHDtlvx44d49tvv621bHO6MlZUiLEiarUaubx5/wM1nW82MdBicXw35AsddoIgOHycC1+LI8YsLy9nyZIltf5eCQkJpKSk0LsJlQ31ERAQQHFx8UWfe+211zh06BA5OTnk5ORw001il+GIiAgEQagjKtpISkrC19eXwMBA+vTpY3+svmVtyzSVoqIiAgMDm7WOhERHRhK+OiC2Mkd1X3+EZuZstdbxVVKd8eUb3LlLHe3B9g3ke9lQKOV0i/EDIO1w5+ruqIqqDrhPbvyEz+b28gkKwa2eq14dgXW7z/DF7nQEAd6YP5hegVo0Xt6oPcVykqLszIY3oCuDwpPi/Uss2P5CBEHAd04kci8lpoIqSn5KbXQdW6mjTz2OLxv/nh7FwlHdsVrhgfWH+CO55VearVYr6/c2I9S+IdzcYf6X0HuyKH6tmwtpzSs/cCZKtYLI4aKLxiYwdEgsZth4Nxz8XBS9rv0QBv7TKUNV7M4BixVdUhFWc9Ovto/q6Ud3Pw3lehM/H85xytw6G7pyI6cO5QOXYKh9TZrh+IKa5Y4dXMxuI6Kiojhw4ECdxw8cOFBHPEhISKCqqsr++65du9BqtXTr1o2+ffuiUqlIT08nIiKi1q1btxY4hxFFKtt4NqeZl5cXoaGhxMfXvpASHx9P3759m7ztmJgYdu/eXeuxXbt21VmmteO0F5RKJWZz7QtuQ4cO5dixY3X+XhEREWg0Gnr37o3JZGL//v32dZKTkykpKWlwrCFDhnD8+PGLOrJCQkKIiIioIzL5+/szbdo03nnnnVqfMYCcnBzWrVvHddddhyAIDB48mOjoaF577bU6Yl9CQgJbt261l542lSNHjjBkyKV9gVbi0kISvjoYYpljdb5XC7py9fHtg4BAXlUehVXNa2lvqDJRUSparztzqaOlqgpdsigMNsXxBefLHU8ndDLhq48ofJlyczHVcyXLRmcoc9yXVsQzG48CsPTyKCZHn89W8Q8TM6oazfnKSQSs4NUVtNKVNJnGDd/rokCAyn25VCbmN7h8aXWpY2OB1oIg8Nys/lw9KBSTxcodn+9nz+mWBeseSC8mJa8cdzc5Vw92wMm2mztc/yX0ngLGSlj3TzH7q51gExRS9+ehrzS6eDYtwGKGH++GQ+tAkMOcj2DAXOcMZTBTVX1Bw2q0YKy++NMUZDKBfw47H3Iv0TjJu3OwmKwEdvcksHsTOuh2Vi7s7NgI5wPuJcdXU7jjjjs4ceIE9957L4mJiSQnJ7Nq1Sq+/PJLHnrooVrLGgwGFi9ezLFjx9i8eTNPP/00d999NzKZDE9PT5YuXcoDDzzA2rVrSU1N5cCBA7z11lusXbu2RXNLSUnh8OHDJCUlkZSUxKFDh6ioqODhhx9mxYoVrF+/nuTkZB599FEOHTrEfffd1+Rt33vvvWzZsoWVK1eSkpLC22+/XSvfC+Dhhx9mzZo1vPvuu6SkpLBq1So2bNjA0qVLW/R6apKfn1/LaXXo0CFyc3Nbvd36CA8P588//yQzM5OCAnE//sgjj7Bz5057wH9KSgo//vgjd999N25ubkRERDBlyhSWLFnC7t272b9/P7fcckud8PkLmTRpEuXl5Rw9erRZc7R1C50+fTp//vknGRkZbNmyhWnTphEWFsYLL7wAiMc8H3/8MceOHWPOnDns2bOH9PR0vvnmG6666irGjBljzy2zkZmZWef9trnS0tLSyMzMZOrUqc2ar4RER0YSvjoYhjNlWM4ZEdQK1L19mr2+xk1DDy9RmGiu66u42omh8VKicu+8fRF0x46ByYQiMBBFl6YF64YPCAAB8tPPUV7chFK4DoJc64Fb9VVLfXLDn5eOHmyfU6rj9s8PYDRbuXJACHdOrG159wutFr4ay/mS8r3qoO7tg+dE8XNUvCEFUz3/IxazhdJ8W6lj4+K6XCbw6rxBTI4OQme0sHjNXo5kNt/x8NUeUZT4x8AueKkdFJDspobrv4CIqdXi1zw4tb3x9dqA4J5e+IV6YDJaSNnrvJMOp2Axw493QcIX50Wv/nOcNpzuWCFWw3nHgCG9ecLC3OFdEQTYfbqItIKmi2aXIlar1e5CvCRD7WsSECl+vnWlcK5xt2Bwr/MB950iu8/J9OrViz///JPjx48zdepURo0axddff80333xTJ5x9ypQpREZGMn78eK677jquvvpqnnnmGfvzy5cv58knn+Sll14iJiaGGTNmsGnTJnr27NmiuT366KNMnz6dqVOnMnToUIYMGcLBgwe59957efDBB3nooYcYMGAAW7ZsYePGjURGRjZ526NHj+bDDz/kjTfeYNCgQfz666888cQTtZaZPXs2b7zxBitXrqRfv368//77rF69mokTJ7bo9dTkiy++YMiQIbVuH374Yau3Wx/PPfccaWlp9O7d2+62GjhwINu3b+fEiRP83//9H0OGDOGpp54iNDQUhUI8t3n99dcJDQ1lwoQJXHvttdx2220EBTWcN+jv788111zDunXrmjXHyMhI9u3bR69evZg3bx69e/fmtttuY9KkSfz999/4+fnZlx07diy7du1CLpdzxRVXEBERwbJly7jpppv47bffUKlUtba9cuXKOu/3pk2bAPjyyy+5/PLL6dGj416slpBoLoK1A3xDlpWV4e3tTWlpKV5eXq6ejksp2ZhK+c4sNEOD8JsX1aJtLN2+lF/SfuGBYQ/wr/7/avJ6ybuy2bomibA+Psx+cGiLxu4IFH78CXn/+Q+e06bStZ42yRfju1f2kXOqjAkLoug/PsyJM2xbzt5zD+d+20rQo4/gHxtb73LrHn+QnJMnmHn/o0SNuaztJugAdEYz132wi4SMEqKCPdlw51g8VLXF3X3/+57tn31Mn1HjuOrBZfVv7NvFcORbmPwEjH/YyTPvOFjNFvLfS8SQcQ5lDy8CbxtYpyNtaX4lnz+5C7mbjCVvTECQNS2sWGc0c+Mne9hzugg/DyVfLxlDRJC2Seue0xkZ+cI2qoxmvr19DMPD/RpfqTkYdfD1Ikj5FRTusOArMQDfxSRsy2DHNykEdvdk3mMjXD2dpmExww93QOJ6URSY+zH0u8apQxasPoIuuRhBrcCqM6EZEoTfdc377r3pkz1sP5HP3ZMiWDq9Zd/blwI5p0v5bsV+FG4yYleMQ6VxTpe+DsNbw6EwBRZ9L5ZON4DZaOGDB7ZjMVm5YflovAPbxpWv0+k4ffo0PXv2rDfYW6LpGAwGuzMpODi42fleEq3DaDSSn5+PIAiEhIQ0u2FCYmIi06ZNIzU1Fa22accgrsBgMBAZGckXX3xRp5GBhER7pKHvmuboRJLjqwPR2jJHG/aA+8LmBdyf7+h4ieR7NbHM0UbN7o6dCVVU450drRYLhRlid72OVupotVp54ocjJGSU4O3uxgc3DqsjegH4hTXR8ZV9SPzZRcpNqMn/s/fe4Y3c97nvZwYdJEgQ7HXJbeT2XiXZlmXHjh07blrFSdziKD459okTJ+fcOO2c5J4b39yTOP0c20kcJ05iqzi27MhNkpuklbS9L7mNXPYCAgRB9DL3j8GA3F3uLgECGJTf53n22V0SmPmRBAcz77zv+5UMMq6f60WyGIjenMf/wzunMWrF9rWNthWLXgBWk4F/+NBetrXX4glE+cA/vMaod2WTir55dpxQLMH6pmr2rKlb8T5XjMkKj/0LbHgLxEPwb4/B9R/mfj8ZsvFAM7JRYmbYz8zwyiZu6koyAV//T6roJRvh0X/Mu+iV8EcJX1VjIbVvVrvfIhk6vgCOpErunz45SiJZ9PcadePyS6rba92eJiF6ATSl4o4r6PkymGQaO9Vo6OQNEXcsVbRSe5vNJkQvHdAcX4qiZFXUv337dv7kT/6EwcHBXC8tpwwPD/M7v/M7QvQSVBxC+CohoiN+EvNRJIsB64bsL9DSwpc3Q+ErFXWsW0EEqZRZrfA12u8lGi6fCV6Lkx3vLnz5pqeIRcIYTCbqWkqrkPifX7nJ0ydHkSX46/fvYk398sJufXsqqjcxRjJxl+mEYd9isb2IOt6Bsd5G3bvXAzD/wjCRoVtjieli+yyOMQ6riX/6pf2sa6xiwhfmA/9wjBl/5L7PWyy178z47u6KMVrgsS/DxrdCPAxf+Tm49kJ+9rVCbNVm1u5Uox9FX3KfiMPXPwbnn1RFr/f9I2z+2bzvNnh2BpJg7nRg36XGXBKzYRIL0Yy286bNTTjtJibnw/zk6r077iqVaDjOlRPqgIqKjzlqNKYK7lcw2RGgJdXzNSV6vkqSRCKRLjjPZAKkIHdIkpQWHOPx7M7jP/zhD7Nt27ZcLivnrF+/no997GN6L0MgKDhC+CohtIJd2yYXkjH7H50mfA35hgjGVuaKgEXHV10ZF9vHJieJT02BwYB1y5aMnutqraKmwUoinmT08r2L4EsJS5/6eoleu4YSW74Ie2ZkCID69i7kErpL+eqNWf7oPy4B8Ns/3cfrNt69jN7R0IjRZCYRj+ObuUsv0sQ59e/aLqjK3pVZzth3NqkiggKerw6QDC2eXPpWONHxbriqzPzLLx+g3Wlj0B3gg188hi909/L2i+M+zo36MBkk3r0rz/FkowWO/DP0vi0lfr0frj2f333eB63k/sqxKWLRu4i5epOIw9d/Bc4/lXJ6fQk2v7Mguw6eVoUY++4mZLsJY5NabhzN0CFnMRp410719fWUKLlflmsnp4lHEtQ22Whd79R7OcVBBo4vWNrzJSY7liKa6GU0GjGZhONRLzTXV7bCl0AgKF6E8FUiKEpuYo4ADbYGGmwNKChcnbu6ouckE8nFaWtlLHyFzqhuL8vGjcj2zL5OSZLo2a4KJ4PnyyfuaGpvR66uRonFiNxY3r5dihMdx+ZCfPxfT5FIKrxzRxuPP7T2no+XZQN1berF610nO46fVv9uy8wtWGk437UOg8tKYi6C9+tX02XMc+mJjveennQvWmtt/MsvH6Ch2sLliXl+6UvHCUaXP4HV3F4/taWF+mrLso/JKUYLPPpP0Pt2SETgKz8PV/UTvzp663DUW4mG4tw4Na3bOu5KIg7//jhc+BrIJlU43PSOguw6NhUgNrYAsoQtdVw3d6nCQqYF97AYd3zu0hSeQGaOsUrg0ktaqX1b/pyXpUba8dW/wsmO6uvTPbJAvMBCdgnUBRc1iqKwsLAAqG4v8TugH5roGLvLjV6BQFB4cvUeI4SvEiE2ukBiLoJkNmDduPoeml6XGl9b6WTHeXeYZELBaJJx1JVvgelizHF7Vs/v3l4PwM3zbpJl0uUiSRKWXvX1EhlY/s6zu8QmOoZjCT725RPMBqJsbq3hT967fUUnmunJjmN36flKC1+i3+teyBYj9e/vA1kidM5N8ITqoJubSnV8Zen40uhpqOLLH91PjdXIyZte/tO/nCIav7WvIxRN8PXTY4AacywYRrPqWur7GVX8+ur74epzhdv/EiRZSsfKLr08ocsa7koiBl/7KFz890XRq+/tBdu95vay9tZhqFIvhCwp4StyM/NOtM1tNWxrryWWUPhG6nUnUJkdW2BqcB5Zlug92KL3coqH+nXqEIfIPMzfP47scFmx15hJJpWC9fZpIkEwuPL0gOBOQqEQyWQSWZaxZ3jTVZBbhONLICg+olH1huFquw/vbHAWFCXBlIPIusmFZFp9lKyvro+Xx16m37MyC73W7+VssWdUOl1qLApfO7N6fusGJ2abkZA/xtTgPK3ranO4Ov2w9vYSOnmScP8AtcukjDTHV2Nn8Tu+FEXh0/9+ngtj87iqzHzhg3uwmVf2O+VK9XzN3s3xlS6237n6hZY55k4HNT+1hvnvDjH3zesY2qvxe8NA9lHHpWxqreEfP7KfX/z71/jJlRl+/YnT/PX7d2NIHb++c2ECfzhOR52NB9YVOJaqiV9PfwQufwu++vPw2L/Cxp8q7DqAvkOtHPvWIONX55ibCmbVr5ZzNNHr0jOq6PXYl6H3pwu2eyWpEDytdnHZdy+OsDevUcvDY6N+lIRyx1TS+3Fkbwfnx3w8eWKEjzzQLVwdKS6nRNfu7Q1U1RbAeVkqGC2q+OW+ovZ81d47ji1JEs09NQyedTM5OF+QyKjBYMDpdDI9nYoF2+3idZ0hiqLg9XpJJBJUVVURidy/m1KQP+LxOPF4nEQiQTgc1ns5AkHFk0wmmZmZwW63p4XpbBHCVwlwS8xxa24u0NIF9ysVvibVSTPlXGyvxGKEL14EMi+21zAYZNZsrefq8SmGzrnLRvhKO77673y9xKNRvJPq3ej6Eog6/sNLg3z99BgGWeJvfn4XHXUrf03fc7JjaA48N9R/C8fXinC8roPIVS+R6z5mv9KPrIDRZsTmyE2/yZ41dXzhg3v46JdO8O3zkzgs5/l/37sNSZL4airm+NjeTmQ9xHyDSS1pf/qX4PI34YlfgCNfht63FnQZ1XVWurbUc/PCLJePjnMoNXxANxKxxe+JwazL9yQy6CPhiyBZDdj66tMfNzbakawGlHCC2GQAc3tm4+rfuaOd//vZy/RP+jk/5mN7hzPHKy89ErEkA69NArBJlNrfSWNfSvgagPVvuu/DW9bWMnjWXdCer5YW1aWniV+CzIjFYgQCASRJwuFwIMsijKMniqLg86m/P36/Xwi5AkERIMsyXV1dq/59FMJXCRAbD5DwhJFMMtbe1cccYVH4uuK9QjwZxyjf+6UwN6k5vsp30kx44ApKJIJcW4u5O3sBp3u7KnwNnnNz6N3rcrhC/UhPdrxy5Y7PzY6NoCSTWKuqqa6rv+PzxcRLV9388bfVCVm/9/ZNHM7Q6aNNdvSMjaAoyq0H4AnVLYizC+yunKy33JFkCdeRXqb+8hTJmRB9Vhl3ky2nJ5oPbWjkr96/k//8r6d44sQIDquR9x/o4tigB1mC9+3tyNm+MsZggvd9cdHd9MQvFtzdBGqv0s0Ls1x+ZZL971yLwaDThVc8qrrg+v9DFb10csEFU31n9u2NSKbF74UkS5i7aohc8RIdns9Y+Kq1m3jrlha+eXacJ0+MCOELuHF2hnAgRpXTQteW4n7/0IWmTaoIPL2yyY5az1chJztKkkRraytNTU2iFykLnnnmGUZGRti+fTs7d+7UezkC4Itf/CLBYJD3ve99aWFXIBDoh9lszslNASF8lQCh82rkwtrnQl5hJOt+dDo6sRlthOIhhueHWeu8d7F3JUx0DJ09A4Bt+3akVfxydW2uR5YlvBMB5qaDOYlt6Y1lwwaQJBJuN3G3G2PDomC0WGxf3NGdEU+QT3zlFEkF3ru7gw8f7s54G87WNpAkIoEAQd8cVc4lQrTo98oKQ62FuvduZPbLl9hgNWCpzv00q7dubeX/fe92/tvT5/j7lwb5Qb8qbDzc20RrbfZF+jnBYIL3/gNIMlz8OjzxgVSf1dsKtoQ12+uxOUyE5qPcPD/L2p13n26aN24RvSzwc/8KG95c8GUko4m0w9q+q+mOz1u6HKrwdXMeDrVlvP0jezv55tlxnjkzzu+9fTPWHFQXlDKXX1bdwpsOt+rjvCx2GlOTHWdW5s5vWlODJMGCN8KCN0x1ATtZDQbDqvtXKo3JyUkuX76MJEns27cPq7V8O3RLiaqqKqanp/F6vXR3d+u9HIFAkCOEn7bIURSF0PncTHNcikE2sLFuI3D/uKOiKItRx7IWvrR+r9VN5LNWmWjd4ARg6Fx5THeU7XbMa1QXXLj/1oEI7hGt2L54Y47BaJzH//kEc8EYOzpq+X/evTUrkc5ktlDb1AwsM9lR9HtljW1LPXOpC7T26QCJhdxPvTuyt5Pf/5nNANxwq8ezxwpZan8vDCZ4z9/DlvdAMgZPfhAu/0fhdm+Q6Tukldzfv0Q758Sj8NSHl4he/6aL6AUQvjyLEklgqLNgXlNzx+e1yY6RLMvDD6+rp91pwx+O872Lk6taa6kz7w4xctkLkip8CZahSZvsOLCiyY4mi4H6DtWJWEjXlyA7XnnlFQA2b95MXV1uEh2C1dOQurnrdpfHObxAIFARwleRE5sIEJ8Ng1HG2pvb+NRKe77CCzEiwThIq5+2VszkSvgC6NmuvmkOnS+fN01Ln/p6uX2yY9rx1dld4BWtDEVR+K9Pn6N/0k9DtZnPfWDPqlwW6cmOt/d8CcfXqrgqS8wnFAyxJN6nr+ZsdPFSPvpgD7/2yAYAWmqsvLHvTkePbhiM8J6/g63vVcWvpz6kFt8XiM0PqO6l4QuzLHgLWOgbj6hC38Czquj1/n+DDffvMsoX6ZjjrqZlB7mYuxwgQcITzkqglWWJR1Px2idP3GVIRoVw+ahaat/ZV0dNg87Oy2LFtQ5kY2qy48qmgTb3qN2ik0L4Kmp8Ph/nz58H4PDhwzqvRrCUxkbV9SyEL4GgvBDCV5GjRS6svXXIltxayFcqfGkxR4fLiilHUctiI+71Ers5DIBt+7ZVb687JXyNX/URDpRH50W65+t2x9eSqGMx8rkf3+DZcxMYZYn/84t7Vh1tW3ayY8gL3iH1362rF04rEe9MmBOBOBgkwv0eFo7mx3n0G2/awN9/cC9f/uh+jHp1Wd0NgxHe/QXY9igk46oL6tI3C7JrZ7Od1vW1KApcPzVTkH2mRa8r3wGjFd7/lRUVeOeLhD9K+KoXWD7mCCBbjRhTN4CiN7Nzfb1vTweSBC9fm2XEE8xusSVOMqmkha9ND2QeGa0YjGaoTw2cmF5Z3LEl3fNVuIJ7QeYcO3aMZDLJmjVraG+/98ROQWHRHF8zMwV6LxQIBAWhyM76BUtZGnO05zDmqKEJXwPegXu6Kyop5mheuxZD7eonMdY22nC1VaEkFYYvzq56e8XAcpMdQwt+FrweABo6iy/q+KOBaf6/76nr/R/v3MK+7tW7JtOOr7Eljq/xM+rfdd2i2D4LIqE4ofko/iRU/5T6OvJ9e5DoRCDn+5IkiTdtbmZDsyPn284JBiO8+/Ow7cii+HXxGwXZ9bqU2DN4rgAn+/GI2md25bsp0eursP6R/O/3HgTPzkASTJ0OTI13f7+zpOKO0eHsHDUddXYeSA3WeOrkMhNiK4Dhi7ME5iJYq0ys3aFDp1wpke75yqzgfvqmn0Qima9VCVZBOBzmxIkTgHB7FSOa8OX1eonH4zqvRiAQ5AohfBUx8akg8ZkQGCWsfbm/mF7vXI9BMuAJe5gO3n0MtXcqVWzfXL4THXMZc9TQXF/l0vNl1aKOg4Mko2rER3N71TQ2YbEXlzA66A7wa185jaLA+/d38gsHunKy3cXJjksuWEW/16rwTavHGHuNmdrXdajHu4SC5yuXSUYTOq9OB2QDvPtzsP3nQEnA07+kFt/nme7t6lS9vDtVY2F1guXV74HRBj//BKx7OH/7WyHB0+r7YNVd3F4a5i5VNI1kKXwB6bjj0ydGSCRzH+stdi6/rLq9eg+0YDCJU9F7ovV8rdDx5WyyY7EbScSSzI4u5HFhgmw5deoUkUiEhoYGNmzYoPdyBLfhcDiwWCwoisLsbHncvBYIBEL4KmqCKbeXdUMdsjX3AzitRis9tT2A6vq6G3OpqKOzjB1f4TwIX1rP182LHhLx0r/ramxpQa6thXic6LVrwNJ+r+Jyey1E4vzKP59gPhxnd5eT//HOLTmbOOlqVy9Y/bMzRMMh9YOi32tVzKXE9domG5IkUfe+DcgOM/HpEL5nb+i8Op2QDfCu/w073p8Svz4KF/49r7usbbRT15pyql7K08l+LAxP/AJc/f6i6LX2DfnZVybLmg4SG1sAWcJ2HweSVnofG11AydJR85YtLdRYjYz7why9Xh43R1ZKwBdJ3xDa9IAotb8vGTq+JFmiuVuLO4qer2IjkUjw6quvAnDo0CHkVUwRF+QHSZJEwb1AUIaIo20Ro/V75XKa4+30utT42r16vso96qgkEoTOngPAtmN7zrbb1F2DzWEiGoozfm0uZ9vVC0mSsPbe2vPlHtYmOnbrtaw7SCYVPvXEGa5OL9DksPC5X9yDxZi7bjqbowZbjRqH9Y6nyoa1qGPbzpztp5LQhC9ns3qMMVSbcR3ZCBIEXptMHwsrDtkAP/u3sPMXVPHra78M55/O6y7TgznO5uF7HgvDV38erj0PJjv8wlOw9vW5308WaKX21t46DFWmez7W2GBDshpRYkliWcZxrSYD79ql9vo8eaKy4o4Dr06STCo099RQ316t93KKnwwnO8Ji3HFS9HwVHRcvXmR+fp6qqiq2b8/dOacgt4iCe4Gg/BDCV5ESmw4SnwqCQcK2qT5v+9nkUk+o7iZ8xWMJ5mfVCV91LeUZdYzeuEEyEECy2bDk0HIuyxLd2/J4EakDllTBvTbZcWZkCCgu4etvfniN71+awmyQ+dwH9tBUY835PhZ7vkYg6IE5VQAUxfbZMTetOuecS6bGWjfUUf069fvs/ferxH0RXdamO7IB3vnXsPMXVfHr3x/Pq/jVs2OJUzWX/UCxEHz1/XD9hUXRq+eh3G1/FShJheCZxWmO90OSpXTcMTqcXcE9wJG9amz6excnmQtmPiGyFFGUxVL7zQ+KUvsV4VoLsgmiC+Bb2STQ5rXqzZmpG8LxVUwoisLRo0cB2L9/PybTvUV2gX6IgnuBoPwQwleRopXaW9c7kW25jzlq3M/x5ZsOgQIWuxGbozzfoNP9Xlu3Ihlz+71O93ydd99zgECpkHZ8DVxRuw9GVMGnsUiijs9dmuKzz10B4I9+dgu7u+rysp90z9f46GK/l2st2PKzv3JH6/jSHF8atW9eg6mjmmQwjveJAZQK7EICFsWvXR8AJamKX+eeysuuljpVJ67O5Waj0SB85efg+g/AVAW/8DR0P5ibbeeAyKCPxFwEyWpY8Y0mSw56vra01bCptYZoPMkzZ/IzxbTYmLjmY24qiMliYP2e+4uMAsBggobUTbkV9nxpUUffTIjwQnlMli4HBgcHmZycxGQysW/fPr2XI7gHIuooEJQfQvgqUgoRcwTorVOFjBH/CAvRO0tQvZOLF6S56kgqNtIxx525d+t0bnJhMMrMu8N4xnM/oa7QWHpTBff9/fimp4iGQsgGI3UpB5SeXJte4DeeOAPABw6u4ef256bMfjm0nq/ZsZHFfi9RbJ8ViqIsRh2bbhW+JKOM6+f6kMwykRs+/D9emduhLJFleMdfwe4PquLX138Fzj6Rh91IrEm97wzmYjCHJnrd+JEqev3i09D9wOq3m0O0Unv7tkakFRataz1fq3F8SZLEkVTJ/ZMnKuO1fellVeDbsLcJcx66S8uWDHu+rFWm9I0EEXcsHjS3165du7AX2UAgwa0sjTomk6Xf0ysQCITwVZTE3CG1N0SWsG3OX8wRoM5aR7O9GVi+4L7c+70gPxMdNUwWAx2bVBdQTi4idcayYT0YDCTm5pg6r37fXO0dGHLslMuU+XCMX/nnEyxE4uzvdvH7P7M5r/tbjDqOLun3EsX22RDyx4iGEyBBTeOdsVRTgw3nO9cDMP/czVU5bEoeWYaf+UvY/aGU+PUxOPvVnO+mZ8lE2lU5VaNB+MpjMPhjMFfDL34N1hzO0SpzgxJLpB3WK4k5apg7HSBBwhMm4c8+pviune2YDTIXx+e5MFbeAkUkGOP6SVVk3CRijpmR4WRHgJYeUXBfTExNTXHt2jUkSeLgwYN6L0dwH5xOJwaDgXg8js9X3sdmgaBSEMJXEaKdhFvWO5Ht+Y8X3qvnS3NilGu/V2IhQOTqVQCseSoZXXoRWerIFgvmnm4Aps6dAfSf6JhMKvz6V89wwx2gtdbK3/7CbszG/B7aXKmoo3dinOTYGfWDotg+K7RjjMNlxWhafgiBfU+TOmkvCZ6vDpAMxwu5xOJCluFn/gL2fARQ4Ov/Cc78W053kROnajQA/3YEBn+yRPQ6lNN15oLQJQ9KJIHBacGcioetBNlqxJhyKEZXIcbWVZl58xb15tPTJ8u75P7q8SnisSSutqp0FE+wQjJ0fMGSni/h+CoKXnnlFQA2bdqEy+XSeTWC+2EwGNI/JxF3FAjKAyF8FSFazNG+Nb8xRw2t52vAs5zja/nunXIhfOE8KAqmtjZMTfnpG9EK7qeG5gmUQUG3NRV3nBm8AehfbP/nz1/hB/3TmI0yn//AHhodlrzvs6ahEaPZQjIRx+dWHQyi2D475u7S77UUSZKoe/d6DHUWEp4wc9+4VqjlFSeyDG//LOz9KKDAN/4znP7XnG3eZDHQ0ac6VYfOZ3HCHw3Avx6BoRfB7IBf/HfoKk6HQzrmuKsJSc4szm9JxR0jq4g7wmLJ/ddPjxGOJVa1rWLm0supUvsH2sq2OiFvLJ3suMLYVfMSx1fF9iMWCfPz85w7p9ZqHD5cXK5Xwd3R4o6i4F4gKA+E8FVkxGdDxMYWQAbrlvzGHDX6XKqQcbvjS1EUvGnHV3kKX6EzqZhjHvq9NKqcFprWOECBmxdm87afQqFNdvR61BOBRh2FrwtjPv76B6oI8pl3b2N7h7Mg+5Vkmbq2dgBmI3ZwrQNrbUH2XW6ki+2b7n2Mka1GXD/XBzIEz8wQSAkWFYssw9v/DPb9MqDAMx+HU1/O2ea1wRyDmU6kjSzAvz4KN18CSw184OvQdSBn68oliYUo4SseILOYo0Z6suPN1UXJHlzfQGutFV8oxnOXpla1rWJlZtjPzLAf2SjRe6BF7+WUHnU9YDBDLAi+4RU9pb6tCqNZJhpOpG9iCvTh2LFjJJNJurq66OjQvxNVsDJEwb1AUF5kJXz97d/+Ld3d3VitVg4cOMCxY8fu+fi5uTk+/vGP09raisViYePGjXz729/OasHlTigljFjWOjFUFWaKoiZ8XZu7RiyxOP0nMBchHkkgyxI1jbaCrKXQ5LPfayndZRR3tPb1kZRgPqa61xq69Is6/nlqguM7drTx3j2FPZlM93xF7aLfaxXMTYUAcDbf/xhjWVNDzSPq623u69eIz4byuraiR5LgbX8K+x4HFPjmf4FT/5yTTS91qgbnV9hhlRa9Xl4UvTqLd3JZ8OwMJMHUUY3pPsLrcpi7VEdNbGwBJZF9+bFBlnjfnvIuuddK7dfubMRaXZ4TovOKwQj1mU12lA0yTSlXoii4149IJMLx48cB4fYqNZYW3AsEgtInY+HriSee4FOf+hT//b//d06dOsWOHTt4y1vewvT08nffo9Eob37zmxkaGuLpp59mYGCAv/u7v6O9vX3Viy9HgudVF42tQDFHgPbqdqpN1cSSMW74bqQ/rt0hrGm0YTCUnzlQUZSCC18jlzzEo6UdZbH09rJgMaNIEha7HUd9oy7rODXs5YX+aWQJfuNNGwq+//pUz5cnYhP9XqtAizrWrlB4cDzcibm7BiWaYParA6sSHMoCSYK3/S/Y/zHS4tfJL616s9V1Fhq7VKfqiuKOET/86/tg+ChYauED34COvateRz5ZGnPMBmODDclmRIkl1YE0q+DRPerx5KVrbsbmykvQjUUTXDmmOtk2PyBK7bOmSev5yqDgfq0ouNebU6dOEYlEqK+vZ+PGjXovR5ABmuNLRB0FgvIgYzXjs5/9LI8//jgf+chH2Lx5M5/73Oew2+188YtfXPbxX/ziF/F4PHzjG9/ggQceoLu7m9e//vXsyLPQUIrEvWFiowsgga1AMUdQ+3PSPV9LJjtqwle5xhxjo6MkPB4kkwnL5vxOAWzoqKa6zkI8lmS035vXfeUbY2MjgQa18LPO1ahbV8tnv6+6vd67u4O1jdUF37+rXTi+VouSVPBNpxxfKxS+JFnC9XO9SFYjsRE/88+tLPZT1kgS/PSfwIFfVf//rU/CiX9c9WZ7dqzQqRrxw7+8D4ZfUUWvD34dOvasev/5JDYdVN9vZbDvyE68l2QJS47ijl31dg6trUdR4GtlVnJ/49Q00VAcR72Vjt46vZdTujRqPV8rF76ae0TBvZ4kEgleffVVAA4dOoQsl99N5HKmvl69FguFQgQCq7u5IRAI9CejI3A0GuXkyZO86U1vWtyALPOmN70pPa3kdr75zW9y6NAhPv7xj9Pc3MzWrVv54z/+YxKJu7teIpEI8/Pzt/ypBLRSe0tPLQaHuaD71iY7Xp5dnBg0N6ke5MtV+NL6vSybNyGb8/v9liQpPd1xsMTjjpIkEWxRLxSd5vwXyS/HqzdmeemaG5NB4tceKbzbC8BVp0469UTsKM3bdFlDqeP3hknEk8gGCUe9dcXPMzqt1L13vbqNH48Qvj6XpxWWEJIEb/0MHPzP6v//49fhxPI3pFbKipyq4Xn4l/fCyKtqz90HvwHtxS16waLby7rRhaE6++O/FndcbcE9wJF9qpj+1MkRkmVURr5Yat+a8QABwRI0x9d0BpMdUwX3s+MBopU8DVcnLl26hM/nw263ixv+JYjZbMbpdALC9SUQlAMZCV9ut5tEIkFzc/MtH29ubmZycnLZ59y4cYOnn36aRCLBt7/9bX7/93+fP/uzP+N//s//edf9fOYzn6G2tjb9p7OzM5NlliyhVJzEtq1wMUeNZR1fU9q0taqCr6cQFCrmqNGtuSfOu0t+wpLfpgpejnDsPo/MPYqipN1ej+3rpNOljzBbl5xCQiGSNBKMVHjcLkt8qX6v2kYbcoYXxPZtjVTtawEFvE8MkAgU/rVYdEgSvOWP4eDH1f//x2/A8b/PenP3daqGffAv74GR18DqhA8+A+27s95foVCSyqpjjhrpgvvh1d+ge+uWVhwWIyOeEK8Olv4gFIC5qSDjV+eQJOg71Kr3ckobzfHlvrLiyY5VtRYcLisoMD1UGTeRiwVFUTh69CgA+/fvx2QS3XaliCi4FwjKh7x7bpPJJE1NTXzhC19gz549PPbYY/zu7/4un/vc5+76nE9/+tP4fL70n5GR8ix7XUrcFyE67C94zFFj6WRHRVFFmXKPOqaFr+2FEb7aN9RhshgI+qJM58AdoCe+uFp2bZ8q/B2wF6+6OTbkwWyU+cTD+ri9AIwzF6g1hQGYHS3/Y1Q+0Pq9nM3ZHWNq37EWY6ONxHwU79eupo9dFY0kwVv+Hzj0CfX/z/4mHPu7LDclLU53vL3nK+yDL78HRo8vil4lEvmNDvlIzEWQLAZsm12r2pa50wESJLwREisdAnAXbGYD79ipdmA9ebw8jimXj6ql9l1b66muW7mrU7AMrh4wWNTJjnM3V/y05rVawb0QvgrJ0NAQExMTGI1G9u0r3iEfgnsjCu4FgvIhI+GroaEBg8HA1NSt47anpqZoaVl+PHVraysbN27EYDCkP7Zp0yYmJyeJRpc/SbRYLNTU1Nzyp9zRYo7mNTUYagofH1tXuw6jbMQf9TMeGCcajhOYU6f2ZXtRWswkw2HCl9W4gG1nYYQvg0mma4t6kVXK0x3DgQUCQTUGa7k+WFCxQVEU/uz7qivxFw+soaVWxwup8dO4LKpw4xkvr06eQjE3lVmx/e3IZgOun+sDg0T40iyB15Z3HlcckgQ/9T/h8K+p///2b8FrX8hqUz1LJtKmnaqhOfjyu2HsBNjq4EPfLKkBD4FTqtvLtq0ByWS4z6PvjWw1Ykq9R+bC9XVkr+pw/86FSXyh0nYxJhJJLr+i/k6KUvscIBugIVWOnknBfbrnSwhfhURze+3atYuqqvJMTlQCouBeICgfMhK+zGYze/bs4YUXXkh/LJlM8sILL3Do0KFln/PAAw9w7do1kkts2VeuXKG1tRVznnuVSgk9Y44AJoOJ9U61M6ff05++ILXVmLFWlZ89O3zpMsTjGOrrMRVwwmg59Hy5R9Q7zdZYHKNvnvj4eMH2/fzlac6O+rCZDPzqG9YVbL/LMnEGl1mN6nnGysOdUWjSjq8mW9bbMLdXU/vWHnV7/3GD2JQooAVU8evNfwQPfFL9/3f+K7x6d6f13WjfeJtTNS16nVRFrw9+E1pLp7tGiSXS77erjTlqLPZ8rV5Y2NFRS2+zg0g8ybfOFu7Ymg9unp8lNB/FVmNmzbbCO9nLklX0fE0N+oQrtkBMT09z9epVAA4ePKjzagSrQUQdBYLyIeOo46c+9Sn+7u/+jn/6p3/i8uXL/Oqv/iqBQICPfOQjAHzwgx/k05/+dPrxv/qrv4rH4+GTn/wkV65c4dlnn+WP//iP+fjHP567r6LEScxH0hOhbFv1Eb4AeutSPV+egcWYYxm6vQBC5xb7vQo5lXDN1gYkCWZHF5ifLc2R9e5hVfiqlVVBNDwwcK+H54xkctHt9eEHuml06FOsD8DCNMyP4bKkhC/h+MqKOW2i4yqPM9UPtGHZWAfxJJ6v9KPEROcaoIpfb/pDePA31P9/9/+CV/9PRpswmGS6UnHAoVOj8OV3wfgpsLngQ9+C1u05XnR+CV32oEQSGJwWLCknzGrRhK/ozdVH2CVJ4tG9qZL7E6UtqF96WRXuNh1qwWAQ0+xyQmNK+MrA8dXY6UA2SoT8Mebd4TwtTLAUbeDXpk2b0pMBBaWJFnX0+Xx3TSoJBILSIOMzkccee4w//dM/5Q/+4A/YuXMnZ86c4bvf/W668H54eJiJiYn04zs7O/ne977H8ePH2b59O7/2a7/GJz/5SX77t387d19FiRO6OAuKWpJrrNXvYn5TfWqyo+cy3nKf6FjgYnsNa7WJlnXqxdbQudIsL3YPDwHgqlMvhsP9Kz8BXw3fuTBJ/6Qfh8XIx163tiD7vCvjZwBwNakntLPC8ZUxiXgSvzs3wpckS7ge3YhcbSI2GcT3ncFcLLE8kCR45L/DQ7+p/v+7vw2v/G1Gm9AGcwy+eAbGT4O9XhW9Wkpvmmm61H5nU84mDJrXpArux/wo8dWLru/e1Y5Rljg76qN/sjTjaQveMMMX1Pe4TYdFzDFnNKUK7jNwfBlMMo2d6mt0atCXj1UJluD3+zl37hwAhw8f1nk1gtVit9ux29VzFOH6EghKm6xuwX3iE5/g5s2bRCIRXnvtNQ4cOJD+3I9+9CO+9KUv3fL4Q4cO8eqrrxIOh7l+/Tq/8zu/c0vnV6Wjd8xRY6njay5dbF+evQR6CV8APdvVu0dDt5dFlwjukSEAGtao4lOkP/+Or0RS4bPPqfv5pQd7cNp1jkmPnwbA1bMZgIVZN9FQUM8VlRzz7hCKAiaLAXvN6n+eBocZ16Nq/83C0XFCl0tTWM4LkgRv/H146LfU/3/vd+Do36z46WvWGpBIMhtqYd60ISV6bc3TYvNHYiFKeECdTmnfnZuYI4CxwYZsN0JcITax+qhtfbWFN21SbyY+ebw03aT9r0ygKNC2wVmWPaG6oTm+3FcgmVjx05q7RcF9oTh27BiJRILOzs6KmUpf7oi4o0BQHgjvuc4k/FEiqTtwesYcAXpdqvA1EZjAPaFGNpxl6PiKTU0TH58AWca6tfAXbz0p98TYgJdoKF7w/a8GRVHSUcfmbWrEKTyQf8fXM2fGuD4ToNZm4qMP9eR9f/dl4gwAtp492GudAHjGx/RbTwmi9Qg6m+05ixtbe11Up0q0vU9fWfWUvbJCkuCNvwev+2/q/7//u/DyX93/eUEPtn9/Ly0m9fd8aNv/geYteVxo/gidc0NSwdRejSnLgQrLIUmSOt0RiNzMjbBwZJ8ad/z66VGiOXCRFRIlqXDpZdX5v/mBVp1XU2bUdYPRCvEweIdW/DRtsuPUDeH4yieRSITjx48Dwu1VTmhxR1FwLxCUNkL40hkt5mjqqMao86hvh9lBe3U7kiIzP6P2QJRjx5fW72XZsAFDdeEdbc5mO85mO8mEwvAlT8H3vxr8s24iwQCSLNN8UD2piw2PkAzkr1A8lkjyF8+rJbEfe/1aaqxFMGwh5fiidSeuNvUCVfR8ZcbclBpzrF1Fsf1y1P50D6bWKpKBOJ4nBxYnEQpS4tfvwutTVQPP/T68/Jd3f3zQA//8Tpg8R7fjEgBDQ0Xw+5clAS3mmKNS+6Wke75yUHAP8LoNjTQ5LHiDMV64PHX/JxQRowNe/LNhzDYja3PorBOw6smO7tEF4rGVO8UEmXH69GnC4TAul4ve3l69lyPIEcLxJRCUB0L40pnQhdR0qW2NOq9EZZNrE46wCyWh9kI4XPqKcfkgrGPMUaM7Pd2xtO4eaTFHV1sH1uZmjI2NoCiEr1zJ2z6/dnKUYU+QhmozHz7cnbf9rBj/JPgnQJKhZRuu9pTwJXq+MmJuRpvomFtxXTLKuN7fh2SSiVybY+El4cS7g4c/DW9IDaF57g/gpT+/8zGBWfind8LkeahqoucX/zNQmk5VgNhMkNiIH2Sw78z9+22652t49QX3AEaDzPv2qMeWJ0us5F4rtd+4vxmTWdRa5Jwser4c9VZsDhPJhIJ7ZCFPC6tsEokEr776KqBWvMiyuMQqFzTHlxC+BILSRhyVdSSxECVyYw4A29bimPrS6+rFGVa7RZzN9pyV/xYToTP6C189KeHr5oVZkonSibFoMceGzjUAWFJ3NCMD+RG+IvEEf/WC6vb61Tesx2425mU/GZEqtqdhI1iqcbWpHR6eMeH4ygTfkqhjrjE12al9h9pB5/veENHR3IgRZcUbfhve8Dvqv5//H/Diny1+LjCrOr2mVNGLD/8HdZu3lqxTFRZL7a0b6jBU574j0NzpAAkScxES85GcbPPRveqx5cdXZpj0lcY0vvBCjBtn1Bs6mx8QpfZ5IYvJjpIk0ZxyfU2KuGNeuHz5MnNzc9jtdnboeH4pyD2a42t2dpZEQjgmBYJSRQhfOhK+5IEkmNqrMdbnNu6TLX2uPupCajShHCc6KvE4oQsXALDt1O/EpGVtDZYqI5FAvKROQrWJjg1d3QBY+1ThK189X189NsK4L0xzjYVfONCVl31kjBZzbNsFQH3K8SUmO2ZGuuMrx44vjap9LeoNhYSC56sDJCPiZPUO3vB/wcO/p/77hT+Cn/wpBNzwT++AqQtQ3QwffhYa1d/z7m3qDZqhc6V111tJKovTHPMUvZMtRkzNanQ+cjM3QmtPQxX7u10kFfjaqdIQ1gdemyQZV2jsctDY5dB7OeVJ2vGV2ftui9bzJQruc46iKBw9ehSAffv2YTbrPIBHkFNqamowmUwkk0m8Xq/eyxEIBFkihC8dCaZijnqX2i+lz9WHM6Q6vhxNFp1Xk3siV66ghMPIDgfmHv1K0mWDTHfq5z54tnQuIm8Xviy96p3nfEx2DEUT/M0PrwHwiTduwGoqkshMqtie1p0AuNpVV8bc5ASJeOlFwPQgGo4T8KnF87nu+NKQJIm692zAUGsm7g4x983redlPyfP6/6qW3gP84P+G/30Ipi9CdUtK9NqYfqg2mGPogruknKrRm/MkvBEkiwHb5vy5qxfjjrkTFh7dqwrrT50YQVGKu69OUZR0zFGU2ueRbCc7ao6vwdK52VYq3Lx5k/HxcYxGI/v379d7OYIcI8uy6PkSCMoAIXzpRDIYI3JtDgDbtuIRvprtzTSE1XhC2FF+dwVDWr/X9u1IOvcvaD1fQ+dndV3HSknE48ym4nyNXWrUUXN8RQYGUJK5vRD+8qtDzPgjtDttPLa3iEaC3+b4ctQ3YLRYSCbi+KYndVxY6eCbVovtrdUmrFX5K0uX7SZcj/WBBMGTUwTPllanXsF43X+FR/5A/XdgGhytqujVsOGWh7WsrS1Jp6rm9rJtbUDKo4C+WHCfu2jt27a1UmU2MDQb5NhgcUdMp4bm8YwHMJpkNuxr1ns55YtzDRhtkIiAZ3DFT2ta40CSYMETITCXmziuQEVze+3cuZOqqsIPTRLkH034EpMdBYLSRQhfOhG6NKuOVW+twtRQHDFHSLkkUh1fM+bSiFZkwmK/13adVwJdm13IBom5qSDeyfxNRcwV3okxkok4JquNmgY1LmTu6UEym0kGg8RGc/d6WYjE+dyPbwDwyTdtwGwskkPV/AQsTKWL7QEkWcbVqhXcl9/vTD6Ym85vzHEplrW1OB5WhVPv168S95RGV1LBeeg34e2fhY1vhQ/9BzSsv+MhskFmTaqPcvBcaQj2SixJMDVEJF8xRw1zKtoXHfOjxHNzI6DKYuQdO9SbUU+eKO7jy+WXVLfXuj1NWOylO/2z6JHlRSfmzMoL7s1WI662akDEHXPJzMwMV1IDfg4ePKjzagT5QhTcCwSlT5FcTVYeofPFF3MECC1EMUbVSY7XlEs6ryb3hIpgoqOG2WakvbcOgMES6MxJxxw7u9JuOcloxLJevUAO9+eu5+tLLw/iCUTpaajiPbvac7bdVaO5vRr7wLwo2rhEz1dG+DThq7kwon/NI2swdzlQwgk8TwygJIo7MqYb+z4KP//EsqKXRs929eS/VHq+Qv2zKOEEhloLllTUK18YG2zIdiPEFaLjuZucp5Xcf/v8BP5wLGfbzSXRcJwrJ1RnnSi1LwCNqZ6vDAruAZpTPV8i7pg7XnnlFQD6+vrSriBB+SEcXwJB6SOELx1IhuKEizDmCOCdVC9I/ZZZBvwrv5NYCiTm5ogODQFg3a6/4wsWpzuWwkWkeyQ10THV76Vh6cttz5cvGOPzP1HdXr/+pg0YDUV0mLqt30tDE76848XtyCgW5qbUqGM+Jjouh2SQcP1cH5LFQPTmPPM/GC7IfsuRUnOqBk+lSu13NeZ9SrEkSXmJO+7ucrKusYpQLMGz5yZytt1ccu3kNPFIAmezndb1+RUYBUBTqucr04L7HlFwn0v8fj9nUzdUDx8+rPNqBPlkacdXsfctCgSC5SmiK8rKIXR5FhIKxmY7pgJEfTJhLiV8ea3TDHgGSCqlU2B8P0LnzwNgXrMGY12dzqtR0Xq+Jq/7CC1EdV7NvZlJO766b/n44mTH3Ahff//SDfzhOBubq/mZ7UXmHLit30ujPlVwLxxfK6OQUUcNo8tK3btVJ5P/B8NEhOMhK0rJqZoIxAgPqBO47LvyG3PUSMcdc1hwL0kSR1KurydOFOcx5lIq5rjpcCuSlF+BUUD2jq+U63F6aL6kBlQUK8ePHyeRSNDR0UFnZxF1kQpyjsvlQpIkotEofn/ubmwIBILCIYQvHYhPB0EqvpgjkL6D769yE4wHGfEX50l2NqT7vXbqH3PUcLis1HdUoyhw80Jxd+a4h1XHl1Zsr7E42XH1UUdPIMoXX1LLej/15o0Y8uzQyAhFgfEz6r/bdt7yKVfbYseXuBN4f+amVOGrtsDCv31nk9rzpIDn6Sso4sIvK7q3lYZTNXRuRu3SbK/G1FyYwmnzmpTj62ZuL4zevbsdgyxxeniOq1PFddE1O7bA1OA8sizRe7BF7+VUBk1LJjsmVj5NuK7ZjtlmJB5LMjtW/I7NYiYajXL8+HFAdXsJwbe8MRqNuFwuQMQdBYJSRQhfOlD71h5aP72f6kPFN+7bm7ogtdSrb+D9ntz1NumN1u9lLYJ+r6Wk445ni/ciMhoKMj8zBdwZdbT2qiW7sbExEqu8C/b5H18nEE2wpa2Gt2wpsguo+XF14p1kgOatt3zK2dqOJMlEQ0EC3uKevKY34YUYkaB6oVbbVPjBHs6fXYdcZSIxGyZ4Rpy8ZkP3drXgvtidqosxx8K4vQDMHQ6QIOGLkPDlbnJek8PKw73q1/HUyeKKVF9+WY1fdm9voKrWovNqKoTaLjDZIREF78onO0qyRHM67ihcr6vh9OnThEIh6urq6EtVPgjKm6VxR4FAUHoI4UsnDDUWDNVmvZdxB1rUsaFVjWsMeHITX9MbJZkkdO4cUBzF9kvp2aG+kQ5f8pCIFacDRev3qqpzYXPU3PI5g9OJsUUVqSKriDtOz4f5p1eGAPitn+otvrunWr/XbcX2AEaTidpmdRqqR/R83RMt5lhdZ8FkNhR8/7LFSPVD6sAE/w9HUJLCoZcpNfW2oneqxmaCREf8IIN9R2PB9itbDJhaVHdZJIdxR4DH9qlRqn8/NUqsSNyKiViS/tdU4WvTA8V3M69skWVoVGsGmM6sj1UTviZFz1fWJJPJdKn9oUOHkGVxOVUJaJMdheNLIChNxJFakCYRSzLvVkune9aoF4aXPeVRcB8dGiI5P49ktWLduFHv5dxCY6cDe62ZWCTB2BWv3stZFi3m2NC5ZtnPW3tX3/P1v390nXAsya4uJ2/oLdyF6oq5S7+Xhkv0fK0ILeZYqGL75ag+1IpkMxJ3h9Q4nCBjin0wR/C06vaybqjD4CjsTaZ8xR3f0NtIQ7UF90KUH/ZP53Tb2XLj7AyRQJwqp4WuLfV6L6eyyLLnqyXV8yUK7rPn8uXLzM3NYbPZ2Llzp97LERQI4fgSCEobIXwJ0szNBFEUtbx4U8cGoHwcX1q/l3XrFiSTSefV3IokS+mS+2Iti04X298Wc9RY7WTHsbkQ//aaOmmvKN1ecNd+L42lPV+Cu5MWvnQc7CFbjDgeVMX9eeH6ygrtmDV8sficqoqipGOshYw5auSj4B7AZJB57271dfvkieI4zlx+ebHUXi6mTsZKID3ZMUPHV7cqzM5NBQkvxHK9qrJHURSOHj0KwL59+zCbiy+9IcgPmuNLCF8CQWkihC9BGi3m6Gy20+vqRUJiJjSDO1T6B3it36vYYo4aS90TxViO7h4ZAqDxLsLXaic7/s0PrhFNJDm41sXhdUXoGlCU+zq+tMmOHuH4uida1FGPfq+lVB9uQ7IYiE8FCV0szrheMdPUVbxO1ejNeRKeMJLFgHVz4Y8nlq6U42tsASWeW1Hw0b2qwP7DgWmm58M53XamLHjDjPSrP/tNh0XMseBk6fiyVpvSjtupIeH6ypTh4WHGxsYwGAzs379f7+UICkh9vfp+srCwQCgU0nk1AoEgU4TwJUjjTQlfdS127CY7a2rUWFs5uL6KXfjq6K3DaJZZ8EZwjy7ovZxbUBTlvlHH9GTHK1dQEomMtn9zNsBTJ1Sx6DeL1e01PwZBN8hGaN6y7ENc7SnHl+j4uidz0+rJop5RRwDZZqT6gTYA/D8YLkrBuZgpZqeqVmpv29qArEOPnKHeilxlhIRCdDy3x/P1TQ52dzlJJBX+/fRYTredKVeOTYECretrqWnQV8iuSNKTHa9CIjPn1mLPlyi4zxTN7bVz506qq6t1Xo2gkFitVhwO1dErXF8CQekhhC9BGu+UOtq6rkW9IO1zqSdVpT7ZMRkIELlyBQDbjp36LuYuGM0GOjepY5KLrTMn4PUQXvAjSTKujs5lH2Ne04VktaKEw0RvDme0/b984SrxpMLrNjayr9uViyXnHs3t1bgJTMtf4Lna1O/NgmeWSDBYqJWVFEpSwTetf9RRo/qBdiSzgdhEgPBlMY0zU3q2FZ9TVYklCaaOoXrEHAEkScLclZ+eL1gsuX/yxIhu33dFURh4bRKA3gNFNoG3UqjtBHM1JGPguZHRU1vSkx2F4ysT3G43Ayln+6FDh3RejUAPRNxRIChdhPAlSKNFHeua1YlUvS41vlbqjq/QhYuQTGJsbcXUrM+F0EpIuyfOFtebqTvV7+VsbcNkXn5UvWQwYEkNDYgMrFwovTbt5xsp18Jvvrm4hg7cQjrmuPOuD7FWV2OvdQLgFa6vZQn4IsSjSWRZwtFg1Xs5GKpMVB9SI1rzwvWVMR19dRhNxeVUDfV7UMJxDLVmLGtrdVtHWvjKcc8XwNu3t2EzGbgxE+DUsD4xU/fIAp7xAAajzPo9xfu+WtZI0iomOy4W3IuOw5WjTXLs7e1NF50LKgvt5y4mOwoEpYcQvgSAevdWizo6b3d8eUvb8ZWOOW7frvNK7k33tgaQYGbYz4I3ovdy0syMqDHHxrvEHDXSkx0zKLj/8+evklTgzZub2dHpzHqNeec+xfYa9WKy4z3Riu1rGm0YDMXx9lP9UDuSSSY2ukCkyLqqih2j2UDn5uJyqmrTHO07m5B0LFvPV8E9QLXFyNu3q4Ltk8f1Edk1t1f39gYs9uIaGFNRZNnz5WqvwmiSiYbieKeEQ3klLCwscObMGQAOHz6s72IEuiEmOwoEpUtxXHkIdCcwFyUWSSDJErWNapRLE76GfEMEY6V7YlTs/V4a9hpzetrS0PnieUN132eio4YlVXAf6V/ZCfjliXmePTcBwKeK2e21gmJ7DdHzdW+0fi+9i+2XYqg2U3Ug5fp6Qbi+MqV7yWAOvUkEYoQH1Miqfbe+LiRzpwNkSPiixH25v5FxZK8qsv/HuXECkXjOt38vkokkV45PAdB7UMQcdSXLyY4Gg0zjGlWcFXHHlXH8+HESiQTt7e10dXXpvRyBTmhRR+H4EghKDyF8CYDFfq/aRhsGo/qyaLA10GBrQEHh6txVPZeXNYqiEDqXEr52FrfwBdCzo3guIjXSxfZd93F89akn4Cud7PjZ59TetZ/Z3sqm1ppVrDDP+EYg5FGL7ZuWL7bXcInJjvdkroj6vZbieF0HGCWiw34i1+f0Xk5JoTlVp2/q71QNnZuBhIKprQpTKrKvF7LZgKlFXUP0Zu6FhX3ddfQ0VBGIJnj2/ETOt38vRvq9hOajWKtNdG0p0l7GSiFLxxdASzruKAru70c0GuXYsWOA6vYqyiE8goKgOb7m5uaIxTIbKiEQCPRFCF8CYLHf6/ZJa6Xe8xUfHycx4wajEevmzXov575o7onRfi+xSGbTEfNBMpFgdkwtq7+v4yvV8RWfnCQxN3fPx54dmeO5S1PIEvz6m4rY7QWLbq+mzWC6dy+Vqy3l+BoTjq/l8E0tf5zRG0ONmap9qnNl/gUhWmZCMTlV0zHHXc26rkNjsecr9wX3kiTx6F71eKNNxS0UA6+qMccNe5uLJrJcsWiOr9lrEI9m9NTmtdpkR+H4uh9nzpwhFArhdDrZtGmT3ssR6Eh1dTVWqxVFUfB4xFAcgaCUEGcsAoB0v5c20VFjk0t9g7/sycxGXyxoMUdrXx+yVf8y7fvhaq2ipsFKIp5kpAimzHknx0nEYhgtFpxN9460GBwOTO3tAIQHrtzzsX+Wcnu9a1c765uKfBz4Cvu9YNHxNTc1QSJe2PhRKaBFHZ1FFHXUcLy+EwwS0UEfEeGAyIhicKrG3CFVYJLAvrNRt3UsxbwmfwX3AO/d3YEswfEhLzdmCjNcIBqOM3hGjfiImGMRUNMOZgck4+C5ntFTNceXZ2yBaFi8X92NZDKZLrU/dOgQsiwunSoZSZJEwb1AUKKIo7cAAO+kGnW8XfgqdcdXqfR7aUiStDjdsQjijumYY0cX0gpO9iypuOO9JjseH/LwkyszGGWJTz6yITcLzScr7PcCcNQ3YLJYSSYSzE0VNn5U7CQSSeZnUsJXkTm+AIxOC1V7VKfQ/A+GdV5NadG9TX+nqub2smyow+Aw67KG27FoBfdjCyjxZM6331xj5Q29apfZUycL4zK9fmqGeCyJs9lOU6ojSqAjq5jsWOW0UF1nQVFg5mbuXYnlQn9/P16vF6vVyq5d9z8PEJQ/ouBeIChNhPAlABanrdW13NqL0lenChlXvFeIJ0vvjmDoTOn0e2n0pISvm+fdJHUeM+4e0fq9ulf0+PtNdlQUhT/9nvq5R/d2sqZe3x6e+6IoMHFG/Xfrzvs+XJIkUXB/F/zuMMmkgtEkU1Vr0Xs5y+J4QyfIELk6RyRPLp1yxNWmr1NVUZS08FWlc6n9UgwuK3KVCRIK0bH8OLKOpOKOXzs5SjyRe3HtdrRpjr0HWkTPUbGgxR1nMr9B2ZxyfU0Kl+tdOXr0KAD79u3DbC4OUV2gL6LgXiAoTYTwJSAajqdLiW93YnTVdGEz2ogkItycv6nH8rImGY0SvnQJKB3HF0DrBidmm5GQP8b0kL4X3+mJjp3dK3r8/SY7Hr0+y2uDHswGmf/yxvW5WGJ+mbsJIS/IJmi+d7G9Rrrna1R0RS1FK7avbbIjycV5wWx0WdP9UP4XhOtrpejtVI3enCfhCSOZDVg31xd8/3dDkiTMmusrT0LqG/uacVWZmfZH+PGV/F6E+T1hxq54Adi4vzh61AQsKbjPvJKiJdXzJSY7Ls/w8DCjo6MYDAb279+v93IERYJwfAkEpYkQvgRpt5fNYcJaZbrlc7Ik01unihn9nsynBulJ5PJllFgMQ10dps5OvZezYgwGmTWpSVmDZ/V9U3WPDAH3n+iooU12jFy7hnJbx5WiKPzp99U70j9/oIs2Z/H1PN2B1u/VvBmMK3MppSc7CsfXLfi0fq/m4v65Ox7uBAnCA16ioyL+s1K6dXSqam4v29Z6ZLOhoPu+H4s9X/l5LZmNMu/epXYrPpnnkvsrxyZBgbYNTmoaivv3uKLQHF/TmZ+jLTq+5lEUfR3mxYjm9tqxYwcOh4j2ClQ0x9fs7CzJZP6dtgKBIDcI4UuwpNh++dhZqfZ8Le33KrVIRvcO/Xu+YuEwc1NqrKVxhVFHU0cHst2OEo0SHRy85XM/HJjm9PAcVpPMf37DulwvNz9k0O+lkY46jgnH11I0gd3ZVHz9XksxNdiw71BPaud/IH6GK6VNJ6eqEk8STB0n7UUUc9RI93zdzN/35MheVWx/4fI07oVIXvahKAoDr00BotS+6NAcX57rGU92bOysRjZIhOaj+GfDeVhc6eJ2u+lPudcPHTqk82oExYTT6cRgMBCPx5m7zxRzgUBQPAjhS7B4Qdqy/AVpn0u9m1hqkx1Lsd9Lo2tzPbIs4Z0I4JsJ6rKG2dFhUBTstU7stc4VPUeSZSzL9HwpisKffV+d5PihQ9001RT/hE1gsd8rA+GrfonjS9xBX0SLOhZjsf3tON7Ypbq+Ls0SnQjovZySQC+narjfgxKKY6gxY1nrLNh+V4qpwwEyJOajxOfyI0r1tjjY0ekknlT4xumxvOzDPbKAdyKAwSSzrggFxoqmpg0sNepkx9lrGT3VaDbQ0KFOVhZxx1t59dVXAdi4cWPa4SMQAMiyTH29GqsXcUeBoHQQwpdgcaLjXS5IN7nUu4kDnoGSupAvtYmOS7FWmWjdoEYQhs7N6rKGGS3m2LmymKNGuudryWTH712c5OL4PFVmAx97fYm4vRRlMeq4gmJ7DWdLK5IsEw2FWPDq87MrRjSBvbbIHV8ApiY7tq2q69IvJjyuGC3uOHS+cBcCgVOpmOOupqLsjpPNBkytqrCQr54vWCy5f+L4SF7ep/tfVafU9mxvwGIz5nz7glUgSdCoFdxnfoOyea0ouL+dQCDAmTNnADh8+LC+ixEUJZoYKoQvgaB0EMKX4L5Rx3XOdRgkA96Il+ngdCGXljXxmRliY2MgSVi3bdN7OVnRs119Ux08p8/UGPdwZhMdNay96gm45vhKJBU++5zq9vrogz24qkpkKpJ3CMJzYDBD0+YVP81gNOFsbgXAMyZ6vgBi0cSSARql0Q3keGMXAKELbmLT+rguS42uLfVIsoRnvDBO1UQgRnhAnSJZtat4XUjmAsQd37GjDYtR5ur0AmdHcytgJBNJrh4XMceiZhU9Xy09ouD+do4dO0Y8HqetrY01azK7+SeoDLSCezHZUSAoHYTwVeEkk0o6glR3l6ij1Wilp7YHgAFvafR8hc6dA8Cyfh2G6mqdV5Md3dtVG/X4VR/hQKzg+09PdFxhsb2GpXcjAOGU4+s/zo1zZWqBGquRjz60NqdrzCtav1fzFjBmJtaJnq9bmZ9Ri+0tduMdAzSKFXNrlTohUBGur5VirTLRVkCnauj8DCQUTK1VmO5y46YYsHTlt+AeoMZq4m3bVMH9ieO5Pe4MX/IQ8sewOUx0bnbldNuCHLGKyY5awf3MiJ9ETBR1R6NRjh8/Dqhur1LriBUUBjHZUSAoPYTwVeH4Z0Mk4woGk0y16+69S+mer9nS6PkKnVWFL2sJxhw1ahvtuNqqUJIKw5cKH5lzj6iOr8bO7oyeZ924ESSJxIyb8PQMf/H8VQB+5XVrqbWVhugBZFVsryEmO95Kukew2V5SFxE1b1R/jsGzM8TcIZ1XUxoU0qkaTMUci7HUfilpx9f4AkoehQWt5P5bZ8cJRRM52+6V19QhJxv2NmMwiNPGomQVjq+aBis2h4lkXGFmREyyPXv2LMFgEKfTyaZNm/RejqBI0aKOMzMzJVUDIxBUMuIMpsLRYo7OJjvyPfpRNOGrZBxfJdzvtZTubanOnAKWRQMEfXMEfXMgSdR3dmX0XLmqClNXasrYt48y6A7gqjLz4Qd68rDSPKIV22fQ76XhahOOr6Wki+1LoN9rKeYOB9beOtX19UPxs1wJhXKqxt0h1UElgX1HcQtfBpcVudoECYXo+ELe9nOgx0WXy85CJM53LkzkZJuRUJwbqfcfEXMsYtKTHW9APLMhCpIkpV1flR53TCaTvPLKKwAcPHgQg8Gg84oExYpWbh8OhwkExBAcgaAUEMJXhbPY73XvC9Jel1pY3u/J/G5ioVESCULnzwOlL3z17FCFr5sXPSQShYsgzKRijs7mFkyWzCcwaj1fJ55/DYBfff06qi0lVIisKDCuiqdZOb7SwpdwfMHSYvvS6PdaiuMRVfgNnp4i7gnrvJrip7bRTl1r/p2qgdOq28uyoQ5DTXH3BkqShFmLO+ax50uWJR7dox57njyRG6H2+qlpErEkdS12GlPONUER4mgBay0oCXBfzfjpzamer0ovuB8YGMDj8WC1Wtm1K/P3fkHlYDKZqKurA0TcUSAoFYTwVeHMpSY6Ou8jfPXVqULGiH8Ef7S4rfCRa9dQgkHkqios60pkguBdaOquweYwEQ3Fmbg6V7D9povtM4w5amiTHV1TwzQ5LPziwRIrh/XcgIgPDBZoyjzqoHV8LXg9RILiTuDclBoTdN5lcmwxY+mqwbLBCUnw/0i4vlZCz/b8OlUVRSF4RhW+irnUfimFKLgHeO+eDiQJXr3h4ebs6o89Wsyx92BLScWUKw5JWtLztYqC+xuV7fg6evQoAHv37sVisei8GkGxIwruBYLSQghfFY53amWOL6fVSUuVGnO44r2S93WthtAZ1alj3b4NqcRt6rIssSYVdxw8V7g7Su6RISDziY4a8nq14H6tb5yPP7wem7nEfg5av1fLVjBk3ktmraqmyqneCRQ9X6Qn/JVa1FGjJjXhMXByivhcZjGiSqR7e36dqtFhP4nZMJJZxrqlPufbzwdawX1k2J/XPpg2p42HNqjdM0+dWN2xZ342xNiVOQA27hcxx6In3fOVeRdr05oakMDvCRPwVeYxbmRkhJGREQwGAwcOHNB7OYISQBTcCwSlhRC+Kpx01LH5/hOxNNdXsccdy6XfSyPtnjjnLliBpjbRsTHDiY4a3wmpkzS7FqZ5bFcJXjCtot9LI11wX+Fxx3AgRsivdj2VYtQRwNJTi7mnFhIK/h8L19f9aO7Jr1M1eGoKANvWBuQSEdVNHdUgSyT9URJ5Fk+P7FUdp0+fHCWRzP4948ox9fvcvtGJ4x7DbwRFwiocX2abEVereh5YqT1fmttr+/btOBwi1iu4P0sL7gUCQfEjhK8KJrwQI7ygXpCuJILUVy+ELz3o3OTCYJSZd4fxTOQ/Nqckk7hHh4HsHF+BSJy/ODeP32TDmEzAzaHcLrAQjJ9R/86i30tDFNyr+KbVmGNVrRmztYR63m6j5hFVyAwcnyQxH9V5NcVNPp2qSjxJMLVNe4nEHAFkswFTSliIDudXWHjz5macdhOT82FevJrdBZmiKLfEHAUlwCocX7Ak7liBPV+zs7Ncvqx+3w4dOqTzagSlgnB8CQSlhRC+Khgt5ljtsmCy3P+uueb4GvAU72THxPw80evXgfIRvkwWAx2b1NjcYAGmO85NTxKPRDCazDhbWjN+/j+9MoQ7EGOivh2AcH9xC6V3kEzChFZsvzPrzWiOr9kKd3ylJzqWYL/XUizrnJjX1EBcwf+Tyv6ZroR8OVXD/R6UUBy5xoxlnTNn2y0Eiz1f+e3JtBgNvGunevzNNu44M+zHOxnEYJJZV0ICY0XTmBK+vIMQy3wQR/Payp3s+OqrrwKwYcMGmprE612wMjTha35+nkikMiPCAkEpIYSvCsabKrava7l/zBEWJztem7tGLJG/MfWrIXROneZo6urC6HLpvJrcoV1EDp7Jv51aizm6OjqR5cxiRPPhGJ//8Q0AGnZsBSDSX7xC6bJ4bkBkHozWxQuJLNAK7iu942txomNpC1+SJFHzxpTr67UJEgvC9XUv8uVU1aY52nc2IcmlVbZuWaP1fOVfWDiyV32tfv/SJJ5A5q/VgVdVt9faHQ2YbaXr1KwoqpvB6gQlCe7Mu1i1yY5TN/0kCzhFWm8CgQCnT6u9nocPH9Z5NYJSwm63U1WlXkMJ15dAUPwI4auCmZvMzInRXt2Ow+Qgloxxw3cjn0vLmtDZM0D5uL00enY0IkkwfdPP/Gwor/vSJjo2ZhFz/IcXB/GFYqxrrGLTg3sACA+UmONL6/dqzq7YXqM+5fiamxwnES9OobgQ+KZLu9h+KZaNdZg6qlFiSRZeHNN7OUWNyWKgo091qg7lKO6YDMYI93sAqNpdeq4Mc6rgPjYeQIkl8rqvzW01bG2vIZZQeOZMZq/VRCLJ1RNqv9fGAyLmWDJI0uIU4ix6vlwtVZitBuKRREFqFYqF48ePE4/HaW1tpbu7W+/lCEoMEXcUCEoHIXxVMOmJjisUviRJSru+irXnq9z6vTTsNWZa1zsBGDyT3zdXzfHV0JlZsb03EOWLLw0C8Kk392LrU18rkf6BgpXy5wRtouMq+r0Aql31mKw2lGSSucnJHCysNJlLdXw5m0uz2H4pqutLnfC48MoEiUDlCporQZvumKuIdvCcGxIKptYqTCt0KhcThjoLcrUJkgrRsYW8709zfT1xfCSjY/DIRQ8hfwybw0TX5vJxTlcEmks5C+FLkiWaulVxdvJGZcQdY7EYx44dA1S3lySVlotUoD9awb0QvgSC4kcIXxXMYtRx5U6MPlfxFtwrikLo7DkAbDu267ya3LN2l/rmej0V9ckXMyOq4yvTYvsvvHgDfyTOptYafnprC5YNG0CWSXi9xEtp4k0Oiu1BFUkqveBeUZR01LHUO740rJtcmFqrUKIJFl4Wrq970Z0quJ8amieYg4EAQS3mWKKdU5IkpV1f+e75AvjZHe2YjTL9k34ujK1cyBhIldpv3NeCbBCniSWF5viazu4crSXd81UZBfdnz54lGAxSW1vL5s2b9V6OoATRHF9isqNAUPyIM5oKJRFLMu9Wy09X2vEFFLXjKzo0RNLnQzKbsfb26r2cnLN2pyp8TVz3EfDlp0QzFo0wNzEOZCZ8zfgjfOnlIQB+880bkWUJ2WrFnIoNRAZKpOcrR8X2GpXe8xWcjxKLJJAkqGkofccXqOKFQ3N9vTxOMhTXeUXFS3WdhcYuBygwdH51d8PjsyGiN+dBAnvqWFiKWNaoBfeF6PmqtZt46xY1qvjkiZWJ75FgLO3QE9McS5C04yu7yY7pnq8KKLhPJpO88sorABw8eBCDIbNOU4EARNRRICglhPBVofhmQihJBZPVgL3WvOLnbXKpdxMHPMUXXwufU91e1i1bkMwr/5pKBYfLqsYQlPxNd/SMjqAoSazVDqqcdSt+3v/50XVCsQQ7Op08smnRjWFNxR1LZrKj5zpE/WC0QcPqxdP69GTHynR8aW4vR70Vg7F83m5sW+oxNttRIgkWjo7rvZyipmfH4nTH1aC5vSzrnRhqLKtel16kHV/D8wV5D9Xijs+cGSO8gl6x66dmSMST1LVW0dBZne/lCXKN5vjyDEIs8z5QTfjyTgYJl3mU+8qVK8zOzmKxWNi9e7feyxGUKFrU0ePxkEjkt7tRIBCsjvK5EhFkhHcqFXNstmfUabC2di1G2Yg/5mc8UFwXfOXa77WUdam44408TXd0p2OOa1b8upjwhfiX19Tn/eabN97yPEuveve5ZCY7av1eLdvAsPpJZotRx8p0fPnS/V7lEXPUkGSJmodVQcH/0hjJiHB93Q2t52vkkod4NLuLAkVRFqc5lmjMUcPcUQ2yRNIfI+HNj3N3KYfX1dPutDEfjvO9i/fvGtRijn0HW0TfUSlS1Qg2F6BkNdnRVm2mtlF1504Plbfr6+jRowDs3bsXi6V0xXSBvtTU1GA2m0kmk3g8Hr2XIxAI7oEQvioUb2qiYyYxRwCTwcR653qg+OKOoTMp4Wtn+QpfWtxxrN+bl7uxM+li++4VP+dvf3iNaDzJ/m4XD21ouOVzacdXqUx2zFG/l4Yr5fjyjI8WnUOyEKT7vcpgouPt2LY3YmywoYTiLLwyofdyipaGjmqq6yzEY0lGB7xZbSM67CcxG0Yyydi2NNz/CUWMZDJgalPfd6MFiDvKssT79qgC/FMn7i3Az7tDjF+dAwk27m/O+9oEeWDpZMcse76a16YK7ss47jg6Osrw8DCyLHPgwAG9lyMoYSRJEnFHgaBEEMJXhTKXEr6cGRTbaxRjwX0yFCKc6pEqZ8eXs9mOq62KZFJZdWfOcmgTHRtX2O814gnyxHE1xvebP7XxDoeApU99rUQHh0hG8u9uWDXpiY47c7I5Z0sLkiwTC4dY8MzmZJulxNx0eRXbL0WSJRwp19fCi6Mks3QzlTuSJC1Od8wy7qjFHG1bG5Atpd/DY0nHHfNfcA/w6N4OJAleuuZmxBO86+OuHJsCoH1jHdV11oKsTZAHVtnz1dJT/gX3mttr+/bt1NTU6LwaQakjCu4FgtJACF8VSjYTHTWKUfgKX7wIiQTGpiaMLeVdyJuOO57O/Rvs0qjjSvirF64SSyg8tKGBA2vr7/i8sakJg9MJiQSRq9dyudTck0wsKbbPjePLYDThbGkDKrPnq5wdXwD2nU0YXFaSgTiB14Tr6270bF/s+VKSmTkflXiS0Dn1WFfqMUcNcwEL7gE66uw8sE79GTx9cnnXl6Io6Zhj74Hyfg8te1br+FpScJ/p72sp4PF4uHxZFQUPHTqk82oE5YBwfAkEpYEQvioQRVHwpi5I65ozizoC9Nap8bUBT/H0Ni3t9yr3XpK1qYu/4UseouHcdQuF/PMEvGo/QUPn/YWvGzMLfO2UehH1qTdvXPYxkiSlXV+RYo87zl6DWABMdmhY/uvJhkrt+UomFXxuteOrtqk8JjrejmSQqHlDquvrJ6MoKygPr0TaN9ZhshgI+qLMjGTmcgoPeEgG48gOM5b1zvwssMBoBfex8UDBXjOP7lWPQ0+fHCW5jJgxPeRnbiqI0SSzbnfpTs0UsGrHV31HNQaTTCQYT7t2y4lXX30VRVFYv349zc0i0itYPVrBvRC+BILiRghfFUjQFyUWTiDJUrrENBN6XarwNRGYYC48l+PVZUcl9Htp1LdXUdNoIxFLMnwxd0WaWsyxprEZs+3+Dp2/fOEqSQUe6WtiV9fdJ0Bae7XJjsUjlC5Luth+O8i5i1PVt2vCV2U5vhY8YZJxBYNRptpVvrEp++4mDE4LSX+MwPEpvZdTlBhMMl2bXUDmE2mDp1Kl9jsbkeTyuKlhcFqQHWZIKkRHFwqyz7dsaaHGamRsLsTR63fGrjW3V8/ORszW1Q/2EOiI5vjy3oRo5sKVwSDTlHIlTpVZz1cwGOT0afW9/vDhwzqvRlAuLHV8VWKfq0BQKgjhqwLRYo41DVYMpsxfAg6zg45q9WJ+wKu/mKEoCqEzZ4Dy7vfSkCSJdTu1uON0zrY7M7zymOPApJ9vnlWnev7GXdxeGpaU8BUZ0P+1ck/SxfY7c7rZpQX3lYQWc6xtsiGXiWCxHJJRxvEG9Xjo/9EISjyp84qKk+4dmfd8JYMxQv2quF8uMUdIOWG7VGGhEAX3AFaTgZ/d2Q7AkyduFeET8SRXT6iibe9BEXMseaoawN6AOtkxu/fd5lTPV7kV3B8/fpxYLEZLSws9PT16L0dQJrhcLmRZJhqNMj9fXr8zAkE5IYSvCiTbiY5LKaaer/jkJPGZGTAYsG7ZovdyCsLaVBRl6Pws8RxFZdwjQ8DKiu3//LkrKAq8bVsLW9tr7/nYxcmOA8V9JyxdbJ+bfi8NV4U6vtLF9mXa77WUqj0tyDVmEvNRAieF62s51mytR5JgdnQBvye8oucEz7shoWBqsWNuq87zCguLeY0ad4zcLEzBPcCRvaoI/92Lk/iCi1OBhy/OEl6IYasx09l3d/euoIRYZc9XS7rnq3wK7mOxGMeOHQNUt1e512IICofBYMDlUl3NouBeIChehPBVgSz2e2V/QarFHYtB+NL6vay9vci28uwSup3mNTVUOS3EIglG+7052aYWdbxfv9f5UR/fvTiJJMFvvOn+XVjm9evBaCTp8xGfnMzFUnNPMgGT59R/t+7M6aa1jq/AnJdwoDCxpmJgbkrt93I2l//vpGSScbxuiesrIVxft2OrNtOyThXJh1bo+krHHHeVXw+PeYnjq1A3BLa217CptYZoPMkzZ8fSH9dijhv3NyMbxGlhWbDKni/N8TU7ukAsUh7dhefOnSMQCFBTU8OWCrlJKigcouBeICh+xBlOBTKXijo6s5joqLHJpd5NLArhq4L6vTQkWWJtKu54PQfTHZVkEvfIMAAN93F8ffY5NTrxszva2NDsuO+2ZbMZSypSEO7X//WyLO4rEAuCqQoaNuR00xZ7FdV16p3ASiq41xxftRXg+AKo2t+CXG0i4Y0QzGEEuZzo3r7yuGN8NkT05jxIar9XuWFud4BBIrkQI+GNFGSfkiRxJFVyr8UdI8EYQ+fUzi8xzbGMaEoJX1k6vqrrLFTXWVAUmL5Z+tGtZDLJK6+8AsDBgwcxGHLX4ykQgCi4FwhKASF8VSC5iDpqjq9B3yCRRGFO2u9G2vG1fbuu6yg063apb7KDZ2dIrtJhMu+eJhYOIRuM1LW23/VxJ296+eHADAZZ4pMrcHtpLE52LNKeL63fqzW3xfYa6bhjBfV8+Soo6gggmw04HlJ/zvM/HEFJFHGsVyd6UsLX2ICXaOjeE2mDZ1RB37LOiaHWkve1FRrJJGNKxTcL1fMF8K6d7ZgNMhfG5rk47uPayWkS8SSutioaOsorTlrRNKaijlk6vgCau7W4Y+kLX1evXsXtdmOxWNi9e7feyxGUIZrjS0QdBYLiRQhfFUY0HGchdXd5NVHHZnszTouThJLgmvdarpaXMUo0SvjiRaAyiu2X0rq+Fmu1iUggzvjVuVVtSyu2r2/vwGC8+0Qvze31vt0d9DSsXDhN93wV62THPPV7aaQL7iuk5ysRSzI/q/Y4OVdxnCk1qg62ItuNJGbDBM+Jk9/bqWuporbJRjKhMHzp7hNpFUVJu+bKqdT+drSC+0gBHTV1VWbevFmNjj51YjQdc+w90CI6j8oJLeo4NwyR7CL26YL7G6Xf83X06FEA9uzZg9VavlOGBfohoo4CQfEjhK8Kwzet9u7YHCas1aastyNJUlEU3IcHrqBEo8i1tZi7u3Vbhx7IBpme1KS01cYd0/1e94g5Hr3u5uVrs5gMEv/lkfUZbd/Sm3J8FWvUceKM+ne+hK+2ynJ8+WZCoIDZasDmyP44U2rIFgPVD6mOSf8PhlGSwvV1O5rr6149X9ERP3F3CMkkY9vaUKilFRxzl+qoiQ4XruAe4NFU3PGFE2NMXPOBBBv3i5hjWVFVD1WpiHC2kx3XLjq+inowzX0YHR3l5s2byLLMgQMH9F6OoEzRhK9AIEAwGNR5NQKBYDmE8FVheLV+rxy4MIpB+NJijrYd2yvybrXW83XjzMyqLrLvJ3wpisJnv38FgPfv76KjLrPXj+b4it68SbLYTggScZjIT7G9RqU5vtITHZvtFfd7WX2oDclqJD4TInRB3Pm9HU2sH7rgvmtEW3N72bbUI1vKt4vHvEZ1fMUmAiSjhSsQf2hDI621Vjrm1feMjt46quvKL05a8aQL7rMTvhq7HMiyRHA+mk4KlCJat9e2bduorb33FGqBIFssFgs1NapYLFxfAkFxIoSvCiMX/V4aWs/XgFe/+Nqi8FVZMUeNzj4XZquBoC/K1FD2cRn3iBp1bOhafqLjT666OXHTi8Uo8/GHM3N7ARgbGjA0NICiELl6Net15gX3FYiHwFwN9Zl/bStB6/iam5okHovlZR/FxNxUZRXbL0W2Gql+oA0Qrq/laFlbi6XKSCQQZ/LGnccsJZ4kdFZ1sNp3l980x6UYai3INWZIKsRGCzfx1SBLvG93O5ujqqjYe1C4vcqSplTP13R2PV8ms4H6VO9bqcYdvV4vly5dAuDQoUM6r0ZQ7oiCe4GguBHCV4WxKHyt/oJUm+w44BkgqayuXD1bFoWvnbrsX28MJpk121YXd4zHYukIXkNn9x2fVxSFP/u+Km5+4OAammuy68ew9hZpz5fW79W6A+T8HBKr6+ox22woySRzk+N52UcxsVhsb9N5JfrgeKANyWIgNhkkfGlW7+UUFbJBZs3WemD56Y7hK16SwTiyw4RlnbPAqysskiQt9nwVsOAe4JEmJ66kTAwFe8/9p/MKSpC04yt7V35LT2kX3L/66qsoisK6detoaRECryC/iIJ7gaC4EcJXhTE3lbuo45qaNVgMFoLxICP+wke44h4PseFhAGzbtxV8/8WCNt3xxunprHo4PGMjKMkkFnsVjvo7+3SeuzTFuVEfdrOB//SGdVmv05ISviIDRdbzled+L1AvcCup52su1SVYScX2S5HtJqoPq66v+R8Ml3Q/Tj7o2a4es5br+UqX2u9oQjKUf0xWr54vX7/q4LliSvDMhYmC7ltQINKOr+zfc5vXqtHAqcHSc3wFg0FOnToFwOHDh3VejaASEAX3AkFxI4SvCiKZVJibUi9IcxF1NMpGNjg3APr0fGluL/O6dRhSufpKpGtLPUaTzLw7jDuLuMzSmOPtfUzJpMJnn1O7vT7yQDcN1dn3wKQnOw5cyXobeSHt+NqZ190s9nxVgPA1tdjxValUP9iOZJaJjQcID3j1Xk5R0bXZhWyQmJsKpnsnAZKhOKHLqkPOvrt8pzkuxbxGE74KVyCeiCe5emIKgEvmBE+dHCUpIrnlh+b48q1msqP6+pwZXiAR08fZny0nTpwgFovR3NzM2rVr9V6OoAIQUUeBoLgRwlcF4Z8Nk4gnMRhlHPW5GefcV69fwX2l93tpmCwGurao0aEbWcQd08X2y8Qcnz0/Qf+kH4fFyOMPre7EMT3ZcWCgeBwwiThMnlf/nUfHFyyZ7FjmBffRUJzgfBSozI4vDUOViaqDrQD4XxCur6WYbUbaNzoBGDq3GAUNnp+BuIKx2Y6pdfU3Z0oBc1s1GCSSCzESnnBB9nnzwiyRQBxbjRlPlcywJ8irgyKSW3bYXVCd6snLsuC+ttGGtcpEIp7M6saaXsTjcV577TVAdXtV2pAVgT5oji+v10usAvpcBYJSQwhfFcSiC8OGLOfmJKCvTghfxcDaVNwxm56vu010jCeS/Pnzqjvrlx9ai9NuXtUaLWt7kEwmkgsLxMbGVrWtnDHTD/EwmB3gyu8dYVdHyvFV5lFHbaKjzWHCYjPqvBp9cTzUAUaZ6IifyNU5vZdTVHSn4o6D5xaPWcFTasyxandTxVyoSiZZFb8oXNxx4LVJAHr3N/Mzu9RI7lMnyvu4VLGke76yK7iXJInmtarra7KE4o7nzp0jEAjgcDjYunWr3ssRVAhVVVXYbGq36eysuJkgEBQbQviqILRIibM5d3fS05MdPYUtLFcSCcLnVKeObacQvrq31SMbJLwTgVuiQyth5i4THZ85M86NmQBOu4lferB71WuUTCbM69WpiZH+Iun50mKObTvzVmyvsej4GkVJllZkJBN8Fd7vtRSDw0z1AbVQWXR93Ur3dtWlOnndR3ghRtwTJjo0DxLYdlZGzFHDXMCC+3AgxtB5NYbTe7CVI3tVQf7b5yeYDwuHQtmxysmOUHoF98lkkqNHjwJw8OBBDAaDzisSVAqSJImCe4GgiBHCVwXhncrdREeNjXUbkZCYCc3gDhUu0x65fp1kIIBkt2NJiSmVjMVuoqOvDoAbZ1b+ZhteWGBhVv25NXQuCl+xRJK/eEF1e/2n16/DYTXlZJ1FN9lRK7Zvzb946mxuRTYYiEXC+D3leydwLj3RUQhfAI7XdYBBIjo0T+RG6Tgm8k1NvY369moUBW5ecKdL7S3rnBhrs+8SLEUWe77y7/i6dnKaZFyhvr2aho5qdnTUsrG5mkg8ybfOlv/E2YojB5Mdm3tKq+D+2rVruN1uzGYze/bs0Xs5ggpDFNwLBMWLEL4qiLnJ3BdO20121tSogkkhXV/pmOO2bUjibh4Aa3dq0x1XLny5R4YAcNQ3Yq2qTn/8qROjjHhCNFRb+OChNXd5duZY+opssmPa8ZXffi8Ag9GIs1ntfCrnni9RbH8rhloLVftU15f/B8M6r6a46NmhXiAMnp1ZnOa4q7LcXrA42TE2sUAymsjrvq5oMceUE1GSpLTr60kRdyw/cjDZsam7BiSYd4fT/Y3FjOb22rNnD1ZrbvpsBYKVIgruBYLiRQhfFYQWgcul4wugz1X4nq+08LV9e8H2Wez07GgECaZv+pmfDa3oOe7hO2OO4ViCv/7BVQD+8xvWYTfnrqfJ2qe+VorC8ZWIweQF9d8FEL5gyWTHMu75SgtfwvGVxvH6DpAlItd9RIZKwzVRCLq3q8KX77KXuDuEZJKxba3XeVWFx+i0YKgxQxJio/lzfflmgkxc9yFJsHF/c/rj79rVjlGWODsyx8BkYXrGBAVCc3zNj0I4u6iixWbElRo2Ueyur7GxMYaGhpBlmYMHD+q9HEEFIqKOAkHxIoSvCiEciBHyq/0duXZiaD1fhRS+wmfPAaLfayn2GjNt650ADJ5Z2Z0mzfG1tNj+q8eGmfCFaamx8vMHunK6Rksq6hgbGSGxoPOEqOnLkIiApRbqegqyS1d7eU92VBSFuVTHV22TTefVFA/GOitVe1ShYf4H5fmzz4amLgf2WjOtktp9Zt1Sj2ypzIEIWtwxkse448BrUwB0bHJR5VyMkzZUW3jTJvX1+eQJ8fosK2xOcKhO42wnOwI092gF98Xd8/XKK68AsHXrVmpra3VejaAS0YSv2dlZkmXc5yoQlCJC+KoQNBdGdZ0FszW3FxabXKqVvlDCV2Jhgci1a4BwfN3O4nTH6RU9fibl+GpM9XuFogn+5ofXAfgvj6zHasptjNRYV4exWb3Aily5ktNtZ0y632t73ovtNeo1x9dYeTq+wgsxoqE4SFDbKISvpTje0AEyRK54iY4IVw2AJEt0b62n3aT+/lVVYMxRQyu4j97Mj7CgKMriNMdUzHEpR/apovzXT48RjYuLtbJilZMdAVpKoOfL6/Vy8eJFAA4dOqTzagSVitPpxGg0kkgk8Hq9ei9HIBAsQQhfFcLiRMfcx480x9fN+ZsEY8Gcb/92wufPg6Jgam/HmMrSC1S0nq+J6777dnEoisJseqJjNwD//MoQ7oUInS4bj+7pzMsaLb0bAQjrPdmxgP1eGtpkx9kydXxpArujzorRLLr3lmKst2FPTSucF11fadbWW7HIEhHAvM6p93J0Q+v5ig778zL9c2pwnvmZEEaLIf0+sZTXbWikyWHBE4jyg/6pnO9foCM56PnSHF9TQ36SyeKcTvvaa6+hKApr166ltbVV7+UIKhRZlqmvVyP7oudLICguhPBVIXgntYmOVTnfdoOtgQZbAwoKV7z5d/Gk+712iJjj7ThcVprWOEC5/3RH/+wMkWAA2WDA1d7BQiTO536sur0++chGzMb8HB6sverd58iAzo6v8TPq3207C7ZLLeoY9M0R1jvqmQfSEx2bhdtrORwPd4IE4cseouPl9/PPhqpUH+FIOMHsREDn1eiHub0aDBLJQIyEJ5zz7fe/qrq91u1qxGS5U5Q2GmTeu0c9PomS+zIjB46vutYqTFYD8UgCz3jx/Z6GQiFOnjwJwOHDh3VejaDSEQX3AkFxIoSvCmFR+MpP4bRWcF+IyY6hMynhS/R7Lcu63aqr5H7Cl1ZsX9fajsFo4h9fGsQbjLG2oYp37WzL2/rSkx31dHzFozBV2GJ7ALPNTrVLvRPoGS8/19fclCpiiGL75TE12rFtV0+IxYRHSIbihAc8AIzGkgydq9yLBMkoq+IXue/5SsSSXDuhuriWizlqPJoSvn40MM3UfO7FN4FO5MDxJcsSzd0p11cRxh1PnDhBLBajqamJdevW6b0cQYUjCu4FguJECF8VQnrSWp6Fr35vfsUMRVGE4+s+aDGWsX4v4UDsro+bGR4C1JijLxjjCy/eAODX37wRoyF/h4b0ZMerV1H0Kv6cuQyJKFgLV2yv4Srjni/N8VUrhK+7UvNG9ecfujBLbLL4nBOFJHTeDXGFhMOEL0FFC1+wJO6Y456vmxdmiQTjVNWaae+tu+vj1jZWs7/bRVKBr50qv+NTxdKg1gvgH4fQXNabKdaC+3g8zmuvvQaobi9JknRekaDS0YQv4fgSCIoLIXxVAIl4Et+M6sSoa8591BEWe77y7fiKjYyQ8HqRTCYsmzbldV+lirPZjqutimRSYej83d903Snhq7Grm7978Qb+cJzeZgc/sy2/3RjmNWuQLBaUYJDYsE6uF63fq3UnFPgkuZx7vnzpqKMQvu6GqbkK21bV9Tf/w/J7DWRC4LTqQqre2wISTN/0E5iL6Lwq/UgX3A/nVljQSu037m9Blu99vHt0r3p8eurEaF66xgQ6YHOCI+XiXtVkx1TB/Y3icnydP3+ehYUFHA4HW7du1Xs5AsEtUUdxHBUIigchfFUAvpkQSlLBZDFQ5TTnZR/aZMcr3ivEk/G87AMW+72smzcjm/PztRQDyWSS2dlZLl26xI9+9COeeOIJvvSlL3H58so6OrTpjjdO391m7U4V21sa2/jiy4MAfOqnNt73wmi1SEYjlg0bAAj35z8auyzpfq/CxRw10pMdx8vLUaEkFeamU1FH0fF1Txxv7AIgdG6G2Ez+B4IUI3FPmOjgvDoB9GBrOkZ1L7G+3DGvUb8HsckAyWgiJ9sML8TS39Peg3ePOWq8bVsrVWYDg+4Ax4fERLKyoUnr+VpFwX3qd9Q7GSQSvLubvJAoisLRo0cBOHDgAEZjbqeWCwTZUF9fjyRJhMNhFsqwz1UgKFXEO0QFMLek3ytfFvBORyc2o41QPMTN+Zusc+anY6Ec+70CgQDT09NMTU2l/8zMzBCL3XliOTQ0xAMPPMAb3/hGDIa7T81bt6uJE88OMXzJQzQcx2y99Vc9EY+no3bfHoNgNMG29lp+anNzbr+4u2Dp6yV84QLhgX5q3vqWguzzFtITHXcWfNdawb2nzBxfC3MRErEkskHC4bLqvZyixtxWjXWTi/BlD/4fjuA60qv3kgpO8Mw0AJa1tRhrLXRvb2BqcJ7Bc262PNSu8+r0wVhrwVBrJuGLEh3xY83BlMtrJ6dIJhQaOqupT3WI3Ysqi5Gf2d7GEydGePLECPt7XKteg6AIaNwE13+wKuHLXmOmpsHKvDvM9JCfzs36vzauXbvGzMwMZrOZPXv26L0cgQAAo9FIXV0dHo8Ht9uNw+HQe0kCgQAhfFUE3im1RyZf/V4AsiTTW9fLmZkz9Hv68yd8lXC/VzweZ2ZmhqmpqVuErrvdDTIajTQ2NtLc3ExzczNer5djx47x8ssvMzY2xvve9z6qq5e/kKlvr6Km0cb8TIjhix7W72m65fPe8VGSiTgmq40vnFNjNZ/6qY0F68aw9vbhAyJ6OL7iEZi6qP5bB8eX1vHlm5oiHothNJkKvoZ8oPUI1jbakPPYEVcu1DzSRfiyh+CZaWoe6cJYXzkuOUVRCJ5WhS/7LlVs79newGvP3GD0spdYJLHs5MFKwNxVQ+i8m+jwfE6ELy3meK9S+9s5sq+DJ06M8Oy5Cf7HO7dQbRGniiWP5viazn6yI6hxx3l3mMlBX1EIX5rba/fu3dhslXMMFRQ/DQ0NeDweZmZm6OkpbJesQCBYHnE2UwGkJzrmqd9Lo8/Vlxa+3r727TnffjIcJpyaBFjMwpeiKPh8vlscXNPT0/fM+tfV1aUFrqamJpqbm3G5XMjyrQJCV1cXzzzzDENDQ3z+85/nyJEjdHZ23rE9SZJYt7OR088Nc+P09B3C10wq5hiqbiSSUNizpo43bGzM0Xfg/lhTkx3DAzpMdpy+BMkYWJ3gXFPw3Vc56zDb7ERDQeYmxmjo6i74GvJBWvgSxfYrwtzhwLKxjsgVL/M/HMH1vo16L6lgxEYXiM+EkEwytm1q35mrrSrtJhm57EkP6ag00sLXzdVPdpybDjJ5Yx5Jgg37Vu7m3d1Vx9rGKm7MBHj23DiP7eta9VoEOtOY6kRdheMLoGVtDVePTzFVBAX34+PjDA4OIkkSBw8e1Hs5AsEtNDQ0cOXKFVFwLxAUEUL4qgC8S6KO+SQ92dGTHzEjfOkSxOMYGhswtrXlZR+ZEg6H73BwTU9PE4ksX9Bss9nSwpb2p7GxEYvFsqL9bd26lebmZp544gncbjf/+I//yFve8hb2799/h1tr7W5V+Bo6P0s8lsBoWnRQaMX2V6KqY+w3C+j2ArD0qsJXfHyChM+Hoba2YPtejDnuKnixPaiiZH17JxPXBvCMj5aP8KUV2zeJu+4rpeaRLmaueAmeSrm+6iojIqq5vayb65FTbiJJkuje1sC5H44ydM5ducLXmlTB/cg8iqKs6risub06N7uoql3ZewyoP4vH9nbyme/088TxESF8lQONqTi1f0Kd7GhzZrUZreB+ctC36tfnannllVcA9bzI6XTqtg6BYDmWFtwLBILiQAhfZY6iKMxN5j/qCIvC14BnIC8nROl+r+07Cn6ylUgkmJ2dvUXcmpqawudbfrqRLMvpmOJSocvhcKx67Y2NjTz++OM888wzXLp0ie985zuMjo7yjne8A/OSwv/mNTVUOS0E5iKM9nvp3taQ/pwmfM2YXBxeV8/hdQ237yavGGpqMLa1Eh+fIDwwQNX+/YXbebrYfmfh9nkbrvYOJq4NlNVkR1+62F44vlaKZU0NlnW1RK778P94lLp3rdd7SXlHSSQJnlWHbth33+pE7d6REr7Ou0kmlbwP2ihGzG3VYJBIBuLEZ8OYGrITkhVF4UoWMUeNd+9u5//73gCnhue4Nu1nfZPoqClprDVQ0wHzo6rrqys7h1RDRzUGo0wkEMc3HdLteD83N8eFCxcAOHTokC5rEAjuRUODel49M3P3IVMCgaCwCOGrzAnOR4mGE0gSOBvze4Kyvm49BsmAN+JlKjhFS1XmJ9v3InTuHJDfmKOiKPj9/jvK5t1uN4nE8lO2ampqbnFwNTU10dDQcM/y+dVisVh49NFHeeWVV3juuec4f/48U1NTPPbYY9TXq9EhSZZYu7OR8z8a5frpmVuEr8mhIQDcpnr++0/pE7Gy9vaxMD5BZOBKgYWvJY4vndB6vrQBA+WAFnV0iqhjRtQ80sXM9fMEjk9S83AnhgycOaVI+IqXZCCGXG3Cur7uls+1bXBithkJ+WNMD83TsraATtAiQTLKmNuriQ77id6cz1r4mrzuY94dxmQx0JOFe67JYeXh3iaevzzFUydG+fTbNmW1DkER0dSnCl/Tl7MWvgxGmcYuB5M3fEwN+nQTvl577TUURaGnp4e2IkkACARL0YQvv99POBzGaq0MR7dAUMwI4avM0WKONQ02DKb8Fk5bDBZ6anu4NneNAc9A7oWvHBfbR6PROyKKU1NThEKhZR9vNpvvcHA1NTXpVqgqSRKHDx+mra2Np59+munpab7whS/w7ne/m74+1X23dpcqfA2enSGZ6EU2yESCQYIe9Q7Ups0b2bNGn4JaS18vCz/8YWF7vmLhxXLf1p2F2+9tuNq0yY7lIXwl4knmZ8OAcHxlimWtE3N3DdGhefw/HsX5zvwMBikW0qX2OxqRDLc6ugwGmTVbXFw9Mc3gOXdFCl+g9nxFh/1Eh+ep2pPdpF0t5rhuVyMmc3Y3YY7s7eD5y1N87dQYv/WWXkxiaEVp09gH155fdc9X89oaJm/4mBycp/dga44Wt3JCoRAnT54E4PDhwwXfv0CwEmw2G9XV1SwsLOB2u+no6NB7SQJBxZOV8PW3f/u3/K//9b+YnJxkx44d/PVf/zX7V+DY+OpXv8r73/9+fvZnf5ZvfOMb2exakCFazDHf/V4afa4+rs1do9/Tz+s7X5+z7campohPTIAsY9u6JaPnJpNJPB7PHS4ur9e77OMlSaK+vv6Osnmn06lrn8Xd6O7u5mMf+xhPPfUUw8PDfPWrX+XBBx/k4Ycfpm19LdZqE+GFGONX5+joc3HmrCr8LBiq+PW379Rt3dZeVZwr6GTH6Ytqsb3NBU79emvSjq+JUZRkEkku7QvKeXcIJalgtBiw15rv/wTBLdQ80oX7Hy6wcGwSx8OdGBzl+T1MhuOELs0CYN+9vKDTvb2BqyemGTrn5tC7ylsEvBvmNQ54CaLD2RXcx2MJrp1UBcbeg9nfgHq4r4mGagvuhQg/GpjhzZuzE+EERUJTyrW3ysmOLT21nGVEt4L7kydPEo1GaWxsZP368o+HC0qXhoYGIXwJBEVExsLXE088wac+9Sk+97nPceDAAf7iL/6Ct7zlLQwMDNDU1HTX5w0NDfFbv/VbPPTQQ6tasCAzNMeXsyW/Ex01+lx9/MeN/8h5wb3m9rJs3IhcdfevJRAI3OHgmp6eJh6PL/v46urqO8rmGxoaMJlMOV1/vnE4HHzoQx/iueee49VXX+Wll15ibGyM9773vfTsaODyyxPcOD1DR5+Lr//gBI2A5GphW4d+jgptsmPk6lWUeBzJWAAD6tJ+Lx1FzNqmZmSDkXgkgn/WTU3j3Y+dpcCc1u/VZCtKcbjYsax3Yu50EB3x439xFOfb1uq9pLwQOu+GuIKxyY6pbfnjeNeWeiRZwjMewDcTpDbPEf1ixNJVA0BsMkAyEk8PAFgpN8/PEgnGqa6z0L6x7v5PuAsmg8x7d7fz+Z/c4MkTI0L4KnVyNNmxuUd9fbpHF4hFE1k7CrMhHo/z2muvAarbS7zfCIqZxsZGhoaGRMG9QFAkZHyl+dnPfpbHH3+cj3zkIwB87nOf49lnn+WLX/wiv/3bv73scxKJBL/wC7/AH/7hH/Liiy8yNze3qkULVo53qjATHTXyNdnx9phjLBbD7Xbf4uCanp5mYWFh2ecbjca0wLVU6Kq6h4hWahgMBt761rfS0dHBM888w+DgIF/4whd4aM9Pwctw/cwMrtc1MzE4SCOwbVufrus1dXUh2e0owSDRmzexrCuAu6MI+r0ADEYjzpZWPGMjeMZGSl748k2Lfq/VIEkSjke6mP3SRQKvTOB4XQeG6vJzfQVOpWKOu5vuesFqrTLRtqGWsYE5hs7NsuORyntNGWotGGotJHwRoiMLWNc7M3q+FnPcuL8ZaZUDAh7d28Hnf3KDH/RPM+0P0+QQPTUlizbZcWEKgh6wZ1dzUF1noarWTMAXZeamn7YNztyt8T5cuHABv99PdXU127ZtK9h+BYJsEAX3AkFxkZHwFY1GOXnyJJ/+9KfTH5NlmTe96U3pscLL8Ud/9Ec0NTXx0Y9+lBdffPG++4lEIkQikfT/5+f1sVOXA14t6lig3p3eOvXEanRhFH/Uj8O8uklQiqIwNzfHwNWrzGzeRNhZi/dv/obZ2VkURVn2OXV1dXeUzbtcLuQSj5OtlK1bt9LU1MQTTzzB7Ows3/nxv+OoWY/ia+YLX++nPqZGjTb26VNqryHJMtYNGwidPUu4v78wwtfEGfVvHfu9NOrbO/GMjTA7Nkr3zj16L2dVpIvtRb9X1lh76zC1VxMbW2DhpXFq39qt95JyStwbJjroAwnsO+8t9HZva2BsYI7Bc252PNJZoBUWF+Y1DkLnIkSH5zMSvkILUW5eSB3js5jmeDvrmxzs7nJyaniOr58a42Ovr8z4aVlgqYbaLvANq66vNdn1Y0mSRPPaWm6cnmFy0Fcw4UtRFI4ePQrAgQMHMBbCJS4QrAJN+BKOL4GgOMjoXUObbNfcfKvdvbm5mf7+5R0+L730Ev/wD//AmTNnVryfz3zmM/zhH/5hJksTLEMskmDBowqIdQWKOjqtTlqqWpgMTHLFe4U9zSu/oI9EIkxOTt4RVYxGo9DWpv7x+dKPt9lsd/RwNTU1YTaXn1MiU5qamnj88cd55plnuHz5Mj77FSzSHPNX1rAh6gGgoatb30UClr4+QmfPqj1fb397fne2tNheZ8cXgKs9VXA/PqLzSlbPXNrxpc+gh3JAkiRq3tjJ7Jcvs/DKOI7XtSPbSytyfS+CZ1S3l6WnFqPz3pMre3Y08PLT1xi/Okc4EMNaVT7fh5Vi7qohdM6dcc/XtRPTJBMKjV0O6tuqc7KWI3s7OTU8x5MnRviV160V8bJSpqlPFb6mL2ctfIEad7xxeqagPV/Xr19nenoak8nE3r17C7ZfgSBbGhvViboej4d4PC7EWoFAZ/L6G+j3+/nABz7A3/3d36VV75Xw6U9/mk996lPp/8/Pz9PZWZl3fVeD5sKwVpuwVhfuwqHP1cdkYJJ+T/9dha9AIMDExASTk5NMTEwwMTGBx+NZ9rEGWcYxO4szEGT9hz9ES0sLTU1NOBwOcQJ+D6xWK0eOHOGVV17hueeeI2Kbpts4j9kDEjL17fr/Tmk9XwWZ7Dh1EZJxsDdArf4lo+mC+zKY7Dg3pXZ81QrH16qwbqrH1GInNhnE//I4tW9eo/eScoKiKASXxBzvR22jnbrWKrwTAYYvzbJxX24nBJcCljVqj1J0eB5FUVb8XqfFHHtz4PbSePv2Vv7wW5e4PhPg1PAce9Zk3xsm0JnGPrj6/VX3fLX0qP2gkzd8Gb0+V4Pm9tq9e7du07QFgkxwOByYzWai0Sgej+eeXdgCgSD/ZCR8NTQ0YDAYmJqauuXjU1NTtLTceZJ1/fp1hoaGeMc73pH+WDKZVHdsNDIwMMC6ZeJNFosFi+Xed4QF98c7VdiJjhp9rj5+NPIj+j39KIqCz+dLi1ua0OX3L38X2+Fw0NLScktUUXruOdz/9hWqHnyQrgcfLOjXUupIksThw4fxxG2cfO7bKKYwgZ5NNIb9GIvAGWcp5GTH8VPq3zoX22u42jTHV2kLX7FIgsCc6iwVHV+rQ5IlHG/swvNv/Sy8PI7joXZka+nfIY6NLRCfCYFRxrZ1ZTfBerY34J0IMHSuMoUvU2sVGGWSwThxdwjTCkr+56aCTA3OI8kSG/blrojeYTXxtm2tfO3UKE+dGBHCVymTo8mOjWscSLJE0BdlwRvB4cpv99vExAQ3btxAkiQOHjyY130JBLlCkiQaGhoYHx/H7XYL4Usg0JmMzqjNZjN79uzhhRde4F3vehegClkvvPACn/jEJ+54fF9fH+fPn7/lY7/3e7+H3+/nL//yL4WLK8/MpSY6FqrfK5lM4na7cXlcbJvdRtgd5k9e/BPC4fCyj6+vr6elpYXW1tb038uVzY+fOwcsFtsLMkNRFP75cpg23w7q7adIWI3MVNXx/PPP88Y3vlHX7jPLRrVnLD49TdzrxViXxwsqrd+rCGKOsBh1DPrmCC34sVWvrg9PL3wzKWdplakiI2m5xra1AWOTjfh0iIVXxql5uEvvJa0aze1l21K/YiGve3sDp753k5sXZkkkkhgMldHRqCEZZczt1URvzhMd9q9I+NLcXp2bXNhrcntj47F9nXzt1CjfOjvO7//MZqoynDQpKBIaU0NtVun4MpkNNHRUMzPsZ2pwPu/Cl9YjvGXLFuryeZ4gEOSYxsZGxsfHRcG9QFAEZHzm8qlPfYoPfehD7N27l/379/MXf/EXBAKB9JTHD37wg7S3t/OZz3wGq9XK1q1bb3m+0+kEuOPjgtyjTXR05qHfKxaLMT09fUtUcWpqing8DsBGVEEjTBhZlmlqarpF5GppaVmxqy90JjXRcacQvrLh5WuzHBv0sM1somvMT6hugZirmZdeeomxsTHe97736Tbd0lBdhamzk9jICJGBAYz5vJM7fkb9uwiK7QHMVhvV9Q0szLrxjI3S3rtJ7yVlhRZzdDaL6EkukGSJmoe78DwxwMKLY1Qfbke2GPReVtYoiSTBs+oJv33Xyu92N/fUYHOYCPljTFydo6Mvuwl0pYx5jSMlfM1TtefeDi4lqaSFr76DuXfI7euuo7veztBskG+fn+DRveLGZUnSkBpqE5iBwCxU1We9qeaeGmaG/UwO+li/J39OFp/Px4ULFwA4dOhQ3vYjEOQDUXAvEBQPGQtfjz32GDMzM/zBH/wBk5OT7Ny5k+9+97vpwvvh4eGKmZ5X7Hhz5PgKh8NpgUv72+12p2OrSzGZTLS0tPDy/MtMm6b53Tf9LvvW78u60DHu9RK9eRMAmxhdnTGKovCn31djhPsOt8HTbqxTM+w4+AbODl5jcHCQz3/+8xw5coSODn16r6x9vcRGRgj391OVL+ErFiqqYnuN+vbOlPA1UsLCl1ZsL2KOucK2vRHj8zeJz4YJvDqB4/X6d9JlS/jqHMlADLnahHXDyp0asiyxZlsD/UcnGDo3W5HCl6WrhgXGiN68f8H9xHUf/tkwJquBnh0r71RdKZIk8ejeTv7X9wZ46sSoEL5KFUs1OLtgbhhmLkNV9vURLT01XPjxGFM38ltw/9prr5FMJunu7qa9vT2v+xIIco1WcC+EL4FAf7JSIz7xiU8sG20E+NGPfnTP537pS1/KZpeCDFGSyuIFaQYdX36//w6Ry+v1LvtYm81Ga2vrLVFFl8uFLMu89N2XuDl1k2nj9KqmmIRTUVlzdzeGlFtQsHJ+0D/NmZE5bCYDv/LGtfzbk+rP0mlcy+OPP8wTTzzB7OwsX/ziF/npn/5p9u7dW/CBAZbePvzPPZ/fnq/JC6AkoKoRatryt58McbV1cPPc6ZLu+dImOopi+9whGSQcD3fiffoq/hdHqTrUimwuTddX8JTaCWrf0YhkyOzY0pMSvgbPzfDAo+srbpiJuUstuI9NBUhG4sj3iBdqbq91u5sw5um18t7dHfzZ9wc4NuThxswCaxtzMzVSUGAaN6WEr37ozl74ak4V3M8M+0nEkxiMub/pHQ6HOXHiBACHD2c/hVIg0Iuljq9kMinMIQKBjoiShjLF7wmTiCWRjRI19Xd2LyiKgtfrvSWqODk5ycLCwrLbq62tvaOPq6am5q4XIn2uPk5MnaDf08/P8rNZfx3pmKPo98qYZFLhz75/BYAPHe7GtOBBUeKAifFrCg8eaeLxxx/nmWee4fLlyzz77LOMjo7y9re/HXMBi+8XJzvmUfgaP63+3barKIrtNRYnO47ovJLsEY6v/GDf1cT8C8MkvBECxyZxPFh6TodkOE7okjqtN5OYo0bHpjoMRpl5dxjPRID6tsoSWgw1ZgxOC4m5CNERP9b1yzvm4rEE106qPWq5nOZ4Oy21Vl6/sZEfDszw9MlR/ttb+/K2L0EeaeqDq9+D6dX1fNU22bDYjUSCcWbHFmhKTSLNJSdPniQajdLQ0MD69etzvn2BIN/U1dUhyzKxWIz5+fl05Y9AICg8QvgqU7xLLkYVFKampm5xcU1OThKJRJZ9bkNDQ1rc0oQuuz2zi9o+l3pC3O9Z3YlV6Kzo98qW712c5NLEPNUWIx973Vqmz70GgGSoZ2Z4Ab8njMNl5ciRIxw9epTnn3+es2fPMjk5yWOPPYbLVZhokaVPfa1Er11DicWQTHkoSNeK7Yuk30sjPdlxrHQdX75p0fGVDySDjOMNncx9/Rr+H49SfaAVyVRad4pD590QT2JssmFqz1y0MluNdPTVcfPCLEPn3BUnfAGY19QQmpshevPuwtfQuVmioTjVdRbaNzjzup7H9nXyw4EZvnZqlE+9eSPGChs6UBY0pmL1qyy4lySJ5p5ahi/OMnljPufCVzwe59VXXwVUt5dwyghKEYPBQH19PTMzM8zMzAjhSyDQESF8lRmxWIypqSlOn76Ev+YGQUOEz3zmuXTp/FIMBgNNTU23uLiam5tz4vbRhK8BzwCKomQVUVGSSUJiomNWJJIKn31OdXv90oM91FWZuTQ8BEC1q41YHG6cnmHHI51IksQDDzxAe3s7Tz31FFNTU3z+85/nPe95D729vXlfq6m9Hbm6muTCApEbg1h7N+Z+J0sdX0VEfYfq+PJNTxGPRjEW0GmXC8ILMcKBGAC1K5g6J8iMqj3N+H8wTMIXJXBikupDxRPTXQnB06oLyb6rOeuYYvf2hrTwteet3TlcXWlg7nIQOjtDdPjuPUpazHHjgRYkOb+O1jf2NeOqMjM1H+EnV2d4Y9+9S/cFRUhTyqmn9V6ugpa1NQxfnGVq0AcP57aL8OLFi/j9fqqqqti+fXtOty0QFJKGhgZmZmZwu91s2LBB7+UIBBWLEL5KmFAotGzpvKIo6gPsgHpNitlsviOq2NDQsKr+rXuxtnYtRtmIP+ZnbGGMDkfmJ0TRwUGSfj+S1YplYx7EkDLmW2fHuTq9QK3NxEcf7AFgZlgdEtC6YR3Dl+H66Wl2PLJYUNzd3c3HPvYxnnrqKUZGRvjKV77CQw89xMMPP5zXO62SJGHp7SV08iSRgf7cC1/R4OKd7badud32KrHXOrHYq4gEA3gnx2ns6tZ7SRmh9XtV11kwlfDkwWJFMso4Xt/J3Dev4//RKFX7WpDy0KOTD+JzYSI3fADYdzZmvZ3ubQ38mAEmB+cJzkex15SWOLxaLKmer+iIf9mbSCF/lOELs0B+Y44aZqPMu3e18w8vDfLk8VEhfJUiDb2ABEE3BNxQlf0whOYe9fU5OZjbgntFUTh69CgABw4cyNu5qkBQCBobG7l8+bIouBcIdEa8k5QAiqLg9/vviCrOzc0t+/iqqirksJ24z8ruB3vZ/dCmdMa8UJgMJjY4N3DZc5kBz0BWwle632vrViRx0rNiYokkf/G86vb6ldetpdamRgfdI0MAbNi3meHLfiau++64kKypqeFDH/oQzz33HK+99hovvvgiY2NjvPe976Wqqipva7amhK9w/wC178zxxifPg5KE6mZwtOZ446tDkiRc7R1MXB3AMzZSssJXrej3yhtV+1qY/+EICV+E4KlpqvbnX9zIBcHTMwCYe2ox1t3ZM7lSqussNHY5mBn2M3TezeYHSsv1tlpMrVVglEkG48TdIUy3OSuvnpgmmVRo7HLgas3fMXopR/Z28g8vDfL85SlmFyLUV1sKsl9BjjDboW4NeIdU11fPQ1lvqrlbFb7mZ0KE/FFsjtwI0zdu3GBqagqTycTevXtzsk2BQC+0gvuZmRmdVyIQVDZCTSgykskkXq/3DpErEAgs+3in03lHH5fD4eAf/6+XCS1E2bFrO/X1uS8cXQm9rl4uey7T7+3nkTWPZPx80e+VHf9+apSh2SD1VWY+fLgbgGg4hG9KjcN0bd1I05orTN/0c+PMDFtfd2tpttFo5Kd/+qfp6Ojgm9/8Jjdu3ODzn/88R44coaMjt1EGDUuq4D7Sv7rOkWVZ2u9VRMX2Gq62zpTwVXo9X4vF9qLfK19IJhnH6zrwPXuD+R+NYN/ThFTkvUqKohA8rU5zrNqdean97fTsaFCFr3OVJ3xJRhlzRzXRoXmiN/13CF8Dr04A0HuwcIJob4uDHR21nB318fXTY/zyQ2sLtm9BjmjcpApfM/2rEr4sdhN1LXa8k0GmBufp3p69e2wpmttr165dGXfMCgTFxtLJjgKBQD+E8KUjiUSCmZmZO0SuaDR6x2MlSaKhoeGWqGJLSws2250XnOFAjNC8ug1ns34nDOmC+9nsxAxN+LKKfq8VE4kn+KsXrgHwq29YR5VF/RWfHRkG1GidvaaWtbsa7yp8aWzbto2mpiaefPJJZmdn+cd//Efe+ta3snfv3qz7eu6GNVVwn5fJjkXa76XhalfFxNkSnOy4WGwvLkzySdWBFvw/GiHhCRM8M0PVnuKOl8XGFohPh8AoY9u2+gvh7m0NHPvWICOXPcSjCYzmyorVmrtqVOFreJ6qvYs/e+9kgOmbfiRZYsPewr4mjuzr5OyojydPjPDRB3ty/p4gyDNNfXDlOznp+WpeW4t3MsjkoC8nwtfk5CTXr19HkiQOHTq06u0JBHqjCV/BYJBAIJDXBIVAILg7QvjSgZMnT3LixAmmp6dJJBJ3fN5gMNDc3HyLyNXU1LTi0nnNhVHltGC26vcjTgtf3syFr8RCgMjVqwDYtgvha6U8eXyEsbkQzTUWfvHgmvTHZ1LF9g2pKN26XU28+o0bjPV7CQdiWKuWn6TY3NzM448/zje+8Q36+/t59tlnGR0d5e1vf3tOhiBoWNavB0kiMTtLfGYGY2P2nUB3MH5G/bvI+r00XO1qz5pnvAQdX9OL02MF+UM2G6h+qJ357w7h/+EI9l1NeS8xXw1aqb1tsws5B+9BDZ3VVNdZWPBGGB3w0p0DMa2UsHQ5WIA7Cu61UvuuLa6Cd5+9Y0cbf/StS1yZWuDcqI8dnc6C7l+wSnI02RGgpaeG/qMTTOWo5+uVV14BYPPmzdTVLT/JVCAoJcxmM7W1tfh8PtxutxC+BAKdEMKXDoTDYSYm1HiCxWJZtnTeYMj+jrZ3Ur0YrWvR92J0Y51aUj4ZmGQuPIfT6lzxc8MXLkAyibGtFVPz6qMylUA4luCvf6C6vT7x8HqspsXXkNbv1dilimHOZjuutio84wFunnfTe/Du3VdWq5XHHnuMo0eP8vzzz3P27FkmJyd57LHHcLlcOVm7bLdjXrOG6NAQ4YErVOdK+IoGwJ1ykbXuzM02c0x9yvHlHR9DSSaRSmRku6Ioi1FH4fjKO9WHWln4yShxd4jQuRnsO4vzuKgkFIJn1R4T+67crFGSJLq3N3Dhx2MMnnNXnPBlXqPWFcSmgiTDcWSrESWpcOU1NU5aiFL726mxmnjbtla+fnqMJ06MCOGr1Fg62VFRVlUD0NxTC8DU0DzJpIK8ClHe5/Nx/vx5AA4fPpz1dgSCYqOhoSEtfK1Zs+b+TxAIBDmnNK6wyoy+vj6OHDnCr/3ar/Hbv/3bfOQjH+Gtb30rO3fupLm5eVWiF8DclNoHVqfzxajD7KCjWr2oH/BmFmFL93uJmOOK+ZdXbzLtj9DutHFkX+ctn3OnJjo2dHanP7Z2lyouXT99/7JNSZJ44IEH+OAHP0hVVRVTU1N8/vOfZyCH0URLKu4YGchhz5dWbO9ohZriKrbXqG1qwWA0Eo9GmHeXTvFpYC5KPJpEkiUcDdmXlwtWhmwxUv2AGkue/+EISlLReUXLE77qJbkQQ64yYd2YO7eGFqG6ec5dtF97vjA4zBjqLKCo0x0Bxq/N4feEMVsN9OSoVylTHt2rvr9/68w4oeid7nVBEdOwESQZQh4IrO59x9VWhdFiIBZO4J1Yvo92pRw7doxkMsmaNWtob1++hkEgKEUaUzd0RcG9QKAfQvjSgfr6ejZv3ozL5cpLL4bm+HK26G+l3VSv2un7PZmJGUL4yoxAJM7//tF1AD75yAYsxkXxVFEU3LdFHQHWpYSv4UseouH4ivbT09PDxz72MTo6OohEInzlK1/hhRdeIJlMrvprsKYK7sP9Oez50vq9itTtBSAbDDhb1MLuUoo7ajHHmnorhiIvWy8Xqh9oQ7IaiE8FCV2c1Xs5y6LFHO07GnNawt+xsQ6TxUDAF2UmJf5UEuYu1fUVHVa/di3muG5Pk26dZwd76llTb8cfifOXL1zVZQ2CLDHZoK5b/fcqe75kWaK52wGwqrhjOBzmxIkTgHB7CcoPUXAvEOiPuFopQ4ol6gjQW6eKGZkIX4qiLApfot9rRXzp6BCeQJTuejvv2X3rXdKgb46Qfx4kifqORSdYfXs1NY02ErEkwxc9K95XTU0NH/7wh9m/fz8AL774Iv/yL/9y18mjK8XSm4fJjul+r+IsttfQCu49JVRw75sWMcdCI1uNVB9WRVL/D4ZRlOJyPiXD8bQgl6uYo4bBJNO1WY1WD56tvAsHS5cqLESH54lHE1w/qQqMesQcNWRZ4vfevhmAL/zkOmdG5nRbiyALctjzpcUdJwd9WW/j1KlTRCIR6uvr2bBhw6rXJBAUE5rjSwhfAoF+COGrzEgkkszPqJPWikH4ShfcZyB8xcbGSczOgsmEdfOmfC2tbPCFYnz+x6rb69fftBHjbS4Lrdi+rqUVk2UxkiZJEut2qm/EN1IujZViNBp529vexnve8x5MJhM3btzgC1/4AmNjY1l/Hdpkx8jgIMllJptmRXqi487cbC9P1GsF92Ml5PiaEsX2euB4sB3JbCA2ESB8eeWCdSEIXXBDPImx8f9n76zD27rP9v85YsssyxBTbAfskMOJQ23TJqWkkHIH3fZu6/D9bW+3jlcYtds6xnZbB4UVk0JSbpjJccCJ7ZjZkmW2xfr9cSwlacggtL+f6/JlKz4655EiS+fc3+e+nyjUmTF+33/ObHnFvObY+Ltw8OZ82ep6qC4xYbe6iDFoSZ+cENK6Vk9P5dY56bg98ODLJVgdwvIYMZyd8zVK0nLl1+dIO75cLhd79+4F5G4vRYRkXQoEQ8Xb8dXZ2YndX+e4AoFgWIhPlhAQyFX6btMAbrcHlVZJdII2YMcZKl7hq7qrGqvTOqT7DJQcAWQhRKET2UGX4x87q+m2OpmSEsNNs9PP+73P5nhWvpcXb85XzbF2nCO4YCksLORzn/scBoOBrq4unn76aQ4ePDii17gqLQ1FfDw4ndhPnx72/c/D1gvmcvnnMLY6AhjS5Y6v9gjq+OpskwX2hNSoEFcyvlDo1cQslfPqusOs66v/8KDNcW5KQGz8E2cmIUlgru+lxzK0z5OxgnpCNJJagWfASc2uJkDu9gqH6Z6P3DwDY4yWirZeYXmMJALQ8WVp7sM2MLTohLM5ceIE3d3dREdHU1hYOOp6BIJwIzo6mqgo+XypvT08owoEgrGOEL5CQMczz1A2bz6nr72Omnvupf6rX6X5oYcx/f73WJ59ju533qFv/35sVVW4urqGdWHjszmm6gNy4TFcUvQpJGoTcXlcVHZWDuk+It9r6HT02Xl6ZzUAD6yeivICF0G+YPvs86fIpObEEZ2gxWFz0XCqY0Q1pKamcv/991NQUIDL5WLjxo28/vrrOByOYe1HkiR0+X7M+Wo5CnggNh1iU0e/vwBi8HZ8RVLG12DHV7ywOgadmOUZSGoFjoZebOUj+7v1N85OG7ZBm1OgJk5GxWhImyRfYNccHV9dX5JSgTpD7qKzDnbVhNLmeDYJeg0/WzcTgCe3VVIiLI+RwUcnO44CfZyGOKMOPNBWM7yuL4/Hw+7duwFYtGgRarV6VLUIBOGKsDsKBKFFFeoCxiPOdgvu/n7cdXU46uoufwe1GpXBgDLJgCrJKP9sTEJlSEJlTELp/Z6UREdjLxAeNkeQxYx8Qz57m/dyynKKGcYZl72PEL6GzpPbq+i1OZmRHsd1My58EWSurwHODbb3Iikk8uYkc2xrA1XFJnJmjWw6mE6n4+6772bXrl18+OGHHDlyhJaWFu666y4MBsOQ96MtyKd//37/THaMkHwvONPxNdDdxUBPN1GxcSGu6NK4z7JUC6tj8FHGaIhePIHenY10f1iHdmpiyBc6+o+0gQc0uXGoDIHr1M0pNNJ8uovqo2ZmXZUZsOOEI5qJcdhruklUSFgnxpIYBgNsvFw7I41b5qTz+pEmvvlyCRv/3/JzhqwIwpCkKfJkR2sn9LZC7OiE1NTceLrNVlqru8iaNvTP/erqalpaWlCpVCxcuHBUNQgE4YzRaKSurk5MdhQIQoQQvkKA8f7PE3/rLbgsFpzmdlyWdpzmdpyWdlzmdpzt7bja5e/u3l5wOHC2tuJsbcV2mX3XFHwS0orwvL+e2q2/OCOWJRlQJiWhGvxSGmUBTaEP/EVrgaGAvc17OWm5fI6E227HVipvFzVHCF+Xoq3Hyr92n+n2Ulyg28vtdtFeL4urF7I6gmx3PLa1geoSM26XG8UIJ7FJksTy5ctJT0/nlVdeoaWlhaeeeorbbruNqVOnDmkfunx5BdovHV8Rku8FoNbpiDUm02M2YWlsIKNgeqhLuiQ9FitutwelWkFMGFiqxyOxV2TSu7cJe10PtspOdJMTQ1aLx+Px2Ryj5wa2uzK30Mie9ZU0lnVgH3CiiRo/pzHa7Fh6AYNKIq4oPLq9zuaRm2aw63S7bHn8oIJvXV8Q6pIEl0Ktg8RcsFTKXV+jFr7iqDjQSsswc7683V5z585FH4RzUoEgVIiOL4EgtIyfM8YwQhEdjTY3F3JzL7ut22YbFMEsONvNuNot5whjPtGsvR1XRwf9evmiQ9twkn5T8WX3L+n1qAwGWQzzimLniGVnRDNlfDzSCAJHvTlfZZbLixm20lI8DgdKgwF15vhazR8uf9laidXhZk5WAlcXXNha1NnSgtNhR6XRkpB24ZPa9Mnx6KLVWPscNFV0klkw9JXaC5GXl8cXvvAFXn75ZRoaGnj++ee54ooruOqqqy4bWHv2ZEePxzO6Lhaf8BX+HV8gd331mE20N9aHvfDV2ert9ooKi4yh8YgyTkPMogn07m6i+8P6kApfjqY+nG39oJKIGmHX6FBJSNUTnxJFV9sAdaUWJs8PjK0yHOnXyqdssQowzEwKcTXnkxit4afrZvKFZw7x122VXDcjjdlZCaEuS3ApUqbJwpepDCatHNWu0gZzvlqruof8+d3a2srp06eRJIklS5aM6vgCQbjjDbgXHV8CQWgQwleYo9BqUaSno04/P7T8o7idTnZ+cydY3Uz67leIdXfiajdfVDTz2Gx4+vtx9PfjaBhCtpBKhSox0dctdo7N0vfdgGrw99JgToNP+Ooow+1xo5AuLn6cbXMMtXUnnGnqHOC5vXIn1zevzb/oc+W1OSZlZqFQXNh2olAqyJ1j5OSuZqqKTaMWvgDi4+P59Kc/zbvvvsuBAwfYvn07jY2N3H777Zdc0dVOmQxKJa6uLpxtbahTR9g9Yu2G9sGA/DAPtveSlJFF7dHiiMj5EhMdw4OYKzPp3deMvboLW3UX2sELz2DTf7gVgKhpSSgC3IElSRK5hUaOfFBPzVHzuBK+yo+3Y3B5iFZKKDttkBx+f3/XzUjj5tnpvFHSxIOvlPDm/wrLY1iTXACnNoJp9JMdjVkxKFUKrH0OukwDQ/p82LNnDwDTpk0bViyCQBCJeIWv9vZ2XC4XSqV4bxQIgokQvsYQA30u7FY3kgRpq4tQqS/+hurxeHD39Q8KY+faKy/UYebu7ganE6fJhNNkuqzlEkARHy93kBkS+Uafh46oXipbH8eYPukcsUyVlISkl8P4Rb7X0PjjltPYXW4W5xpYNvniK/+Xmuh4Nnlzkjm5q5nKIyZW3D3VL108KpWKNWvWkJWVxRtvvEFlZSVPPvkkd911FxkZGRe8j0KrRZObg/10JbZTp0YufHmD7eMyISZ55A8iiBgy5A5HSwRMduxsE8H24YAqXkv0glT69rXQvbmO5M/OCnoNHpeH/hJ59Vo/NzgiVO5sWfiqPd4+Knt2JOFxeyjf38LUQeHLXtuNbkrouvwuxaM3z2B3pZny1l5+/2EFD14nLI9hS8rgZMe20edqKlUKjFkxtFZ301rdfVnhq7u7m6NHjwKwdOnSUR9fIAh34uPjUavVOBwOOjs7SUoKv85dgWAsI4SvMUTn4ETHWGPUJUUvkFfNlTHRKGOi0Uw8f9rfR/HY7TgtlnOEMVe7+dxsMsugWGbpAJcLd1cX9q4uqILFg/txHn6GlgvVo9OhSkrCOTjiV+R7XZx6Sz8vHZDFkW9cotsLLj3R8WyyCgxodEr6u+y01nSTlue/zpHCwkJSU1N58cUXsVgsPP3009x4443MmzfvgrXr8guwn67EeqqMmCuvHNlBfcH2c0Zcd7CJpMmOZzq+okJciSD2yiz6DrRiq+jEVteNNju4gxGspztw9zpQRKvQ5QdHiEnLi0erV2Htc9BS1U36lISgHDeUNFV00mux0R0tn7bZ6npCXNHFSYzW8JNbZ/HFZw/x121VXDcjjcLMhFCXJbgQyYOipGlwsuMoO+3TcuN9wtflpo7u378ft9tNdnY2mSLaQjAOUCgUJCUl0dLSgslkEsKXQBBkhPA1hugYvBgNxERHSaNBnZaG+iI5UWfjcbtxdXXJAtlgeP/Gg89RVVPMYm0+BUw4J8jfY7XisVpxNDYCcgaabmbwOxcihd99WIHT7WHFFCOLci9tDbjURMezUaoVTJxlpOJAK5XFJr8KXwCpqancf//9bNiwgbKyMt58803q6+tZs2bNeaPLtQX5sGnT6CY7RlCwvRfvZMeutlYcdhtqTfiGxne1iYmO4YLKoEM/N4X+Q630fFiH9jMzg3p8b6h9VGEyUpA6rxRKBRNnJVG+r5Xqo+ZxIXyd2icvGcUWJEJlJ/a6HjxuT9hm7F0/M42bZqfzZkkTD758lDf+d5mwPIYjxikgKcHaBT0tEDdhVLtLzYuDzdBa3XXJ7Ww2GwcOHABEt5dgfGE0GmlpaREB9wJBCBDC1xiio6UPgMQQ248khQJVYiKqxES0kycDoMzr4cV9R2nMSOMvq/58zvbuvj65W8xsxtXejiY3F2VM+IxpDycqTb2sPyx3BH3j2vxLbuuwWeloaQYg+TLCF8CkuclUHGilqriNpbdN8nvGmk6n4+6772bXrl1s3ryZI0eO0NLSwl133XVOtoeuwA+THZuPyN8nREawPYA+PgFddAzWvl46m5tInnj54RehwGl30dNhBeSgcUHoiVuZRf/hVqxlHdgbetBkxgbluG6bE2up3KUbPS+w0xw/Sm5hMuX7Wqk5ambZ7ZODeuxg47C7qBwUGCdekQl13XisTpzmAdRhLD4/evMM9lSaKWvt4Q8fnuab1136M0sQAlRaMORBe4Xc9TVa4StX7jg11/fitLtQaS4sdh4+fBibzYbBYBjy1GeBYCzgnewoAu4FguAz9oMxxhGdvo6v8BONCpJkMeOU5fwuHkV0NJqsLPRz5xK7ahXaSZOCXV7E8NsPKnB7YNW0VOZcZlpWe0M9eDxExcahj7/0tgDZM5JQqhV0m62YG3r9U/BHUCgUrFixgk9+8pPo9XpaWlp46qmnKC8v923jnexor6nBbbUO/yDWrjPB9hHU8SVJEomDOV/tYZzz1WUaAA9o9Sp0MerL30EQcFTGKPRz5Hyt7s3Be+0MHG/H43CjMkahzowJ2nEBsqcbUCglOlv7fYs+Y5WaEjMOq4vYJB3pUxJ8z7W9tjvElV0aQ7SGn9wqdyD+ZVslxxou3QUkCBEpg3ZHP+R8xRp06OM0uN0eTBex47pcLvbu3QvI3V6Xm/YsEIwlvAH3ouNLIAg+4tNmDNExmPGVEACr42iZkjAFCQnzgBnzgHizHwmnWrp5s6QJgAdWX36F9Eyw/cQhdW+ptUqyp8udV1XFgV2JysvL4wtf+AIZGRlYrVaef/55tmzZgtvtRpWcjNJgALcbW0XF8HfeLIflEp8N0Ub/Fh5gkrw5X43hm/PlC7ZP0YvJq2FE7MoskMBa2o69OThCUH+x3IWkn5sS9NeCJkpFxtQEAGqOtgf12MGmbNDmmL84DUkh+XLc7GGc8+Xl+pkTWFs4AZfbwzdfLsHudIe6JMFHSR4MuPfDZEdJknxdXy3VFxZmS0tL6erqQq/XM1sMMhKMM7wdX2azGY/HE+JqBILxhRC+xggOu4sei9wdE2qr44XQq/VMjJMD1ssso7CwjWN+877cFbWmcALT0y8fYD3UfK+zmTRP7hqpOhL4Fuz4+Hg+85nPsHDhQgC2bdvGc889x8DAALoCuevLemoEK9C+fK/IO6H25nyF82RHEWwfnqhT9ETNkoXens11AT+es8uGrbITCN40x4+SUyhfQFQfHbuWkf5uO3WlFgBfWLhmUPiy1YV3x5eXR2+eQVK0RrY8bh7BYoYgsPix4wvwZYR+NOfL4/Fw8uRJPvjgAwAWLVp0XsanQDDWMRgMSJKEzWajpyf8Fy8EgrGEEL7GCF1t/bL9KDp87UfTDPKq4knL6FcVxzq9Nien23rZfdrM+sMN/Pr9ct490YpCgv9bNWVI+zANcaLj2eTMSkKhkLA09QXFPqRSqVizZg3r1q1DpVJRWVnJk08+SfcUuaPNNpKcL2++V3rk5Ht5iYTJjr5g+zAU2Mc7cVdnAzBw3IxjsDMvUAwcaQMPaHLiUBl0AT3WxcgplCditVR2Ye11hKSGQFNxoBWP20Nqbpzvb04zUc5wc7b24x5whrK8IZEUo/VZHv+8tZLjjcLyGFb4Or5OyZMdR4m346t1sOPL4/FQUVHBU089xYsvvkhXVxexsbG+RS+BYDyhUqlITJQnIAu7o0AQXES4/RjBa3NMTI0OW/tRviGft2veHtcdXw6XG1OPjZZuK61dVlq7rbR022jt9v4s/3uf3XXB+98yJ4PJKUMLrj5jdcwZcn1avZrMgkTqSi1UHTEx//rg5MXNnj2b1NRUXnzxRTo6OtggSczNy2PmSCY7eju+Jszxa43BwDCY8dXR1Ijb7UKhCL8paF6ro5joGH6o06LRzUjCeqKdns11GO4pCMhxPB4PfYNh6/p5oen2AohLiiIpI4b2xl5qj5vJLxpdMHc4crbN0YsyRoPSoMNlsWKv70E3NTFU5Q2ZG2ZNYE3hBDYdbeabL5fwxleXo1GJtdewIGkyKFRg64buJojPGNXuUibGIUnQ22Gj9GgZew7spL5e7mLWaDQUFRWxZMkSoqJE17BgfJKcnIzFYsFsNpOXlxfqcgSCcYMQvsYIPuErDPO9vBQYLh5wH+l4PB46+x2ycOUVsbpstPbIQpb87zba+2xDXlCN1alIjdORFqcjJU5LVqKeTy/NGdJ9+7u76O/qBMCYlT2sx5I3N1kWvopNzL9+aMfzB2lpadx///289tprlJWVcXDRQiz19aTb7Wg0mqHtZKATLFXyzxHY8RWfkopSpcLpsNNjNhGfknb5OwUZn9VRdHyFJXFXZ2M90U5/iYnYVRNRG/1/celo7sPZ2g8qCf2sZL/vfzjkzjbS3thL9dGxJ3y1N/ViqutBoZCYvOBcgVGbHUu/xYqttjsihC+AH908g72V7Zxq6eGPmyt44DKTiQVBQqUBwyQwl8k5X6MUvtRaJVHpDpr6S3lp/Xb5ECoVixYtYtmyZURHh98AJoEgmBiNRsrKysRkR4EgyAjha4zQOWhLC8dgey/5Bvkkt7a7ln5HP3p1+NZ6NlaHa1DIkgWstm7buQLXoKg11NBetVIiJVZHapyWtHgdqXE6n8Al/6wlNU5HtHbkf57ebq/4lFQ0UcN7nnNnJ7P1+TLaanvosViJDaKNKSoqirvvvpud27ezZcsWqrKyePqpp7j74x/3tYZfkuYS+XtCNugNgS02ACgUShInZGCur6W9sT7shC9bv4OBHtlSFi8yvsISTUYMugID1lMWerbUY7jz8oMwhkv/YLdX1LQkFFGhPY3IKTRy8K0a6kotuBxulOqx00VUPtjtNXFWElEx54r/molx9B8xYY+QnC+QLY8/vnUmX37uMH/aWsm1M9KYmREf6rIEIOd8mcvknK/Jq0a8m6amJjZv3kyt6zRoQZIULFy4gBUrVhAbO7RudYFgrHN2wL1AIAgeQvgKAQdqLOw6bSZao0KvVcrfNUqitfJ3/Udua1WKy9oXO1q9HV/hu5JmjDKSHJWMacBEeUc5c1LmhLQel9tDe6+N1kEhSxa1zhe4ugaGnh1jiNYMiljaM4JW/BkxKy1OR6Jeg0IRWDuqz+Y4jGB7L/o4DemTE2iq6KSq2MTsa7L8W9xlUCgUXHHVVSj+/nd2ZGbSYjbz5JNPcvvttzNlymXyzSI438uLISMLc30tlsYG8uaGVwZK52C+lz5eg0YnPj7Cldirs7CestBf3ErcNdl+zeDyuDz0l5yZ5hhqUrJj0cdp6O+201jRQfb0pFCX5Bc8bg/l+1uBc22OXrwB9/b6HjxuD1KAP1MuxMDAAJWVlVitVqZPn45ef/lFlhtnTWDNrAlsOiYsj2FF8jTg9RFPdmxtbWXLli2cGhxII0kS2r5UcowzuPHGFX4sVCCIfIxGeRCN6PgSCIKLuHIJAfuq2vntB0OfbKRUSIOCmNInluk1KqI1SvRaFdFqBdmNvUjAWzUm9D09Z23n3fYskU2rRK9WolIG/2Qz35CPqdFEmaUsYMKXx+Oh1+Y8Yzf0dWWdlanVZcXUa8PlHprvMEqtJC1eR0qs3KUl2w+9XVqyqJUSp0WrCo9MJl+w/TDyvc4mb04yTRWdVBa3BV348tWQkUHUe++x77bbaLNaee6557jyyiu58sorUSgu8tqN4HwvL96cr3Cc7Ngl8r0iAm12HNopCdgqOunZWk/ibUMbiOF2ubD29aKPu3gXjq2yE3ePA4VeFRYWO0khkVNopHRnEzUl5jEjfDWWd9DbYUOrV5EzOK3zbNRp0UhqBR6rC6epH3VqcBa9LBYLZWVllJWVUVdXh9stdzq/8847zJ49m8WLF5OScmlB9NFbZrCnSrY8/mnLaf5vtf+7EgXDZISTHc1mM1u3buX48eO+fyssLGTujEW89ZtyOgdcuFxulCE43xQIwhWv8NXb24vVakWnC82AGIFgvCGErxAwIz2ejy3Opt/mpN/uot/uos/upN82+N3uot/uxOqQTyhdbg89Vic9VidgO29/cW6JL7h1uPDwm11VeIa48KtRKWTxTKMiWnvme5T6rNtecW3wu16tPGdbr6gWpVEO3ld5ye60AkMBOxt3jniyo93ppq1HthZ67Ydn52h5u7T6LxIO/1EUEiTHas+yGeouKHDF6VRhOzTgQpjra4DhTXQ8m7y5yex8uYLmyi76u+3o44aYseVHtPkF6F9/gzVtJo5du5qDBw+ybds2Ghsbue222y7cXeAVviK84wvCc7KjL99L2BzDnrhrsjFVdNJ3qJXYq7NRJWgve5+3/vgrKvbt4s6HfkZmwYwLbtN/WO5CipqdjBQmnTq5g8JX9VEzK+6ZGlHv1RfDG2o/aX7KBe2bklJCkxWLraoLe21PwIQvt9tNQ0ODT+z6qDXHaDSiVCppbW3l0KFDHDp0iEmTJlFUVMSkSZMuuEhhjNHy41tm8pXnD/OnLae5dkYqM9KF5TGkJA8KX6YyebLj5VwGHR1s27aNkpISPIPBpdOnT+eqq64iJSUFj9uDVl+Frd9Je0MvKRPjAv0IBIKIQafTERsbS09PD2azmczMzFCXJBCMC4TwFQJWFqSwsuDyFhGX20P/oBDWdzGRzOakr7YXtpvwxKi4a2GWTzzrszkZcJy5r/e7c7DLye50Y3e66ej33xh4SQK9+iyxbNC26b3drZQvmLdWH+H3AxXnWDq93Wg2p/ucQHivwNXWY8Xcax9yLXHecPj4M9lZHxW4jDFalCGwiAQSj9tNe30dAMkjsDoCxBp0pEyMpa22h+oSEzNWjC7sdiToCuRMOEfZKdb+/ndkZWXx5ptvcvr0aZ566inuuusu0tPTz9xhoAM6auSfJ8wOer3+wpAunwC1N4ah8DVodYwXwfZhjzYnHm1ePLaqLnq21ZN4y+RLbt94qpSy3XIQ9b4NL5H53UfP28ZtczFwoh0ID5ujl8yCRFRqBb0dNtobezFmRnaWkMPuovKwbIEpuIDN0YsmOw5bVRe2um6iF/kvD9Bms1FZWUlZWRkVFRX09/f7fidJEhMnTiQ/P5/8/HwMBgMej4fa2lr27t3LqVOnqKyspLKykqSkJIqKipg9e/Z5A0rWFE5g07E03jrWwjdfPsrrX1kmLI+hxDBJnuxo74GuBki4cKd3d3c327dv5/Dhw75uv6lTp7Jy5UomTDgzXEJSSKTmxlF3wkJrdbcQvgSCj2A0Gunp6cFkMgnhSyAIEkL4CmOUColYnZpYnfqS25VY69mJialTDHztjlmX3Nbj8WB3uRmwu+izu2Th7OzvHxHavCKbtwvtQtt6b8v7h77BfV/IuS6ptcRMBrO9ll+/fxIYvjVQo1SQcp6IdSZTyyty6TXj8+Xd1daKw2ZFqVKRkJZ++TtchLy5ybTV9lBZHBrhS1sgr0A76upx9/Uxe/ZsUlNTefHFF+no6OAf//gHa9asYd68efIdmo7I3xNzIjLY3oshXX6urT3d9Hd3XdJ2FmzOdHwJ4SsSiL06G1vVMfoOtBC3MhvlRTo3PR4PO1/4j+92zZFDmOtqzssIHDhuxuNwozJGockKH3FJpVGSOc1AzVEz1SXmiBe+qo+YcNhcxBl1pE26+N+/Jlt+nP4IuO/s7KS8vJyysjJqampwuc50Tet0OiZPnkx+fj6TJ08mKurcjk9JksjJySEnJweLxcL+/fspLi6mvb2dTZs28eGHHzJ//nwWLlxIQkKC734/umUme6ssnGzu5s9bT/P1VcLyGDJUGkiaDKZT8tdHhK/e3l527tzJgQMHfK+NvLw8rr766otetKfmxlN3wkJLdRezrhIX9gLB2RiNRqqrq0XAvUAQRManMjDG8AXbD6ELQ5IktColWpWSBD9eu7rdHqxOF322swQxu9N3+8x3B0/W6XAqrKydr0bpSqPP5mLAIW/TZ3OiVirOC4Q/u0srUa8eE1aWQGEatDkaMrJQqkb+Jz5pbgp7X6ui8VQH1j4HuuhLC7D+RmUwoEpOxmkyYS0vRz93Lmlpadx///1s2LCB8vJy3njjDerr67nxxhtRe4PtIzjfC0Ct1RGXnEK3qQ1LY33YCF8ej4dOb8aX6PiKCLST4tFMjMNe203P9gYS1uZdcLuaksM0nDyOUq1mwpR8GkqPc3Dja1z/5a+fs11/8ZlQ+3B7D86dbaTmqJmao2YWrskNdTmjwmtznLo47ZLPs1f4crYN4O53oNAP/T3a7XbT1NTkE7taW1vP+b3BYGDq1Knk5+eTnZ2NUjm0RSqDwcD111/PypUrOXLkCHv37qWjo4Ndu3axe/dupk2bRlFREVlZWRhjtPzolhl89fli/rj5NKunC8tjSEkuOCN8TVkNQH9/P7t372bfvn04HLI7IDs7m6uvvpqcnJxL7i4tV+7yaq2KnMmjAkGw8E52FAH3AkHwEMLXGKCzpQ+AxLTQXYwqFNKgrVEFXDpLZvfb0yhuK+b6+S7W5kVuFlO4MpqJjmeTkKrHkB6NpamP2mNm8osmXP5OfkZbUIDTZMJWVoZ+rvxaiYqK4p577mHnzp1s3ryZ4uJijh8/TpzURyx3ENOeR+y77xIbG0tMTAyxsbG+L6328jlH4YAhI0sWvpoayJw2M9TlADDQ48BhdSFJEG8UGV+RgCRJxF2Tjfnp4/Ttayb2qkyUMed2fXncbnb+V+72mnPtjeQvuYLnf/ANTu7cyvJ77yMmUe6edHXZsFV2AuFlc/SSM8sIErTV9tDXaSN6CJlm4Uhfl436UgsA+ZexLypjNKiSdDjbrdjre9DlX7rT1W63U1VVRXl5OeXl5fT29vp+J0kSWVlZPrHLaDSOStzUarUsXryYhQsXUlFRwd69e6murqa0tJTS0lLS09MpKiri+unTuWFmGm8fly2Pb3x1GWoRhB4aUqZB6WvQdgqr1crevXvZs2cPNpucLZuRkcHKlSuZNGnSkF4bKTmy8NVlGmCg105UTPCzQgWCcMUbcC86vgSC4CGErzFAR8tgF0ZacKY6jZb8xHyK24ops5SxNm9tqMsZc5h9Ex1HFmx/Nnlzk7E09VFZbAqJ8KXLn0rfjh1YT507aUqhUHDFFVeQkZHB+vXr6evrox0N7WRBqwNa91xwf2q1+hwh7KPCmPe2VqsNaUeLIT2TmiOHwmqyo9fmGJuku2DYtiA80U5JQJ0Zg6Ohl94djcTfcG43VPm+XbTVVKLWRbHo1rvQx8WTUTCdxlOlFL/zJivu/RQA/UdM4AFNThwqQ/hNoNLHaUjNiaO1upuaY+aQ2LP9QcWBVjweSMuLG1JnpSY7Dme7FVvdhYWv7u5un9BVVVWF0+k8c1+NhsmTJzN16lSmTJlCdLT/zyEUCoUvD6ylpYV9+/Zx9OhRmpqaWL9+Pe+//z43z57H4Upky+OWSr62amhTSAV+JrkAOyr2V/Ww63e/Y2BAznRMTU3l6quvZurU4Q2O0EWrSUzT09HST2t19wWnkwoE4xVvx1dHRwdOpxPVKBwaAoFgaIi/sgjH1u+gv1sOfB+K1TEcKDDI2U2nLMMbmy0YGuZ6WfgaabD92Uyam8zBTTXUlVqwW51odMF9y9Dmy68VW1n5BX8/adIk/u///o/Ollp6/34TPcTQs/IxeqxOent76enp8X3Z7XYcDgcWiwWLxXLJ43oFsrOFsQuJZDqdLiACWZJ3smMYBdz7bI4i3yuikCSJuKuzaf9PKb17moi5IhPloG3Z7XKx68VnAViw9lafrXbB2ttoPFVKyftvsXjdXWh0UfQXy1a4cOz28pJTaKS1upvqo5ErfHltjvmXCLU/G83EWPqL23w5Xx6Ph5aWFsrKyigvL6epqemc7ePj48nPz2fq1Knk5OQE9WIrLS2NW265hWuuuYZDhw5x4MABenp62LdzGzcqlJxSGfjPlgFWT09leroIQw8mDoeDQ80KdvA/9HVHAwMYjUZWrlzJtGnTLjidcyik5sYJ4UsguAAxMTFotVpsNhvt7e2kpqaGuiSBYMwjhK8Ix5vvFR2vQRMVGf+dBUlnhC+PxxN2WTGRjNPhoKO5ERi91REgKSOGuOQouk0D1J2wMHl+cC96vZMdbWVleNxupAucfKtUKoy2Wow0giEPrrzmgvuy2WzniGEfFca8t20225AFMpVKddnusdjY2GELZOE42dHb8SUmOkYeumkG1BOicTT30burkfhrcwA4vvUDOpob0cXGMX/NOt/2k+YvInFCOh3NTRzf8gEzZ6/E0dIPSgl9GF+85hYa2fd6FQ0nO3DYXKi1wx+eEkraG3sx1/eiUEpMnj+0iyBNdhxOXDTUVbNvYy3l5eV0d5+bqZSRkeETu1JTU0P+mRsTE8OVV17JsmXLOHHiBHv37qW5uZl8lYl8TPzt6Sbuv+M68qdOGbHgIhgaTqeT4uJitm/fTk9PDxBNIp1cdd3NzFp81aif/9TceE7taaG1uss/BQsEYwRJkjAajTQ2NmI2m4XwJRAEgchQSgQXpTPCbI4AkxMmo5SUdNo6ae1vJS3af2PYxzuWxno8bjfa6GhiDEmj3p8kSUyak0zx+3VUHTEFXfjS5OYiaTS4+/txNDSgyc6+8IZNxfL3SwTba7VatFotSUmXfl7sdvslhTHvl81mw+l00tHRQUdHxyX3qVKpLts9FhsbS1RUFJIkYciUO766zW04bFbU2tBby8REx8jFm/XV/uxJenc1EbsiE7fSzZ5X/wvA4lvvRKs/8/8qKRTMX3MrH/z9zxx+6zVyXdMBiJpmGFaAerAxpEcTZ9TRbbZSf9JC3pzkUJc0LLzdXhNnJqGLufTz3NfXJwfTnyrjtLYCp+SCg/LvVCoVkyZNIj8/nylTphAbG55TLlUqFbNnz6awsJC6ujq279zN6Yoy4p0WXnzhvyQlJbF48WJmz54dMfmMkYLL5eLo0aNs27aNzs5OAOLi4rjSs4c5PR+gTLoR/CA6pnoD7qu78bg9SAqx0CkQeElOTvYJXwKBIPAI4SvC8eZ7hTLYfrholVpy43M53XmaMkuZEL78iC/YPivHb6v6eXNl4avmmBmXwx3UfCdJpUI7eTLW0lKsp05dQvg6In9PH/2wBI1GQ1JS0pAEMq8YdimRzGq14nQ66ezs9F1gXAylUukTwmwT8/FY+/ng3XdJy8o+RyjzCmTBpLNNzntJSBHB9pGIbnoSqlQ9ztZ+enc3UWE9TG+7mZgkI3OuXXPe9tOvuJpdLz5Ld1sbPQeaUAD6ueG9Ii1JEjmzjBzd0kDNUXNECV9ut4fyQeGr4AJ5ih6PB5PJRFlZGWVlZTQ0nNUNKoHeo2VKdh4zVswlNzcXtTp8BcqPIkkSEydO5JMTJ/LSrlO89PYWpirNtLe389Zbb/Hhhx8yf/58Fi1aREJCQqjLjWjcbjcnTpxg69attLe3AxAdHc0VV1zBvHnzUL92DE64wXQSpl476uMlpUej0iiwW110tPRjSI+cRVqBINB4A+7FZEeBIDgI4SvC6QiDiY4jocBQwOnO05y0nOTKrCtDXc6YweSniY5nk5oTR3S8hr4uO/WnLEHP6dAWFGAtLcV2qgyuvciJuE/4mhOsstBoNBgMBgyGS09Sczgcl+0e6+3tZWBgAJfLdUYg08eCPpZ9h4vhcPE5+1Qqlb4usUtZLKOiovxiFXK7PXSbBoUvYXWMSCSFRNzVWVj+W0bPjgYONm4AYMnt96LSnD9tTa3VMfvaNVS/tQeFDRR6Fbr8xGCXPWxyZg8KX8fMEdVh0ljWQV+XHa1excSZsujudDqpq6vziV0fFc7T0tLIz88nwxJL1IF+ouPSMEydGoLq/cedS/P5sKqXl040scLQyxydmQ6Lhd27d7Nnzx6mTZtGUVERWVlZIbdsRhIej4dTp06xZcsW2traAHlC8vLly1m4cCEa73tAyjQ4AbT5J4NVoVSQMjGOpopOWqq7hPAlEJyFN+BedHwJBMFBCF8Rjtd+lJgaWScTBYYCNlZtpMxSFupSxhRngu1HP9HRi6SQyJubwrGtDVQVm4IufOkK8ukCrGUXea30tUNXnfzzhNlBq2uoqNVqEhMTSUy8tGhwtkDW29vL/rc30lRdSdKkqeiNKT6RzCuQdXV10dV16dwUlUrFxIkTmTRpEpMmTSIlJWVEF4u9FisupxuFSiImDCf6CYZG1KxkVB/U4TQNkClNpnWCjplXrbro9nOvWwM7egFwZyuRVOGft5Q+JQFNlIqBHgetNd2k5cWHuqQh4bM5zk3gxMnjlJWVcfr0aWw2m28bpVJJbm6uL68rPl5+bAMn22k/UOoLuI9kJEnix7fOZF+1hS0WJXNXLeDeLA/79u2jqqqK0tJSSktLSU9Pp6ioiOnTp4tpaJfA4/Fw+vRptmzZ4ht0oNVqWbp0KUVFRedbSJPlDFZMJ/1WQ1qeLHy1VnczfVm63/YrEEQ63o4vs9mM2+0WmYYCQYARZwsRjMvlpstrP4rAji8Qkx39zdlWR3+SNzeZY1sbqC4x43a5USiD9+Hsm+x46iKvlebBbijDJNBFxkXuhfioQNZXeYr2/dtJn5zHTZ/8pG87p9M5pJD+/v5+nE4nlZWVVFZWAnKotFcEy8vLIyYmZki1eSc6xifrUURIB43gfCSFhLbIiPPNevLjFzH55qtQKC8eAK/TxZIVkw8eONm0h0wWBbHakaFUKsieYeD0wTaqj5ojQvhqaWqjpPQQVoOZ3VXdeCo9vt9FR0czZcoU8vPzycvLu2DWlSZbzlFymgZw9zvCOodtKKTE6nj05hl87YUj/GHLaVZ/dTn33Xcfra2t7Nu3j5KSEpqamli/fj3vvfceCxcuZMGCBURHR9YCYKCprq5m8+bN1NfXA/JnTFFREUuXLiUq6iKW9ZRp8ndTGbjdfsr5kv8GRcC9QHAuCQkJKJVKnE4nXV1dl10gFQgEo0MIXxFMt2kAt9uDSqskJiGygl+9wldDbwM99h5iNeEZvhtJWHt76bXImR1GP3Z8AaRPjkcXrcba56CpopPMgkvb+/yJd7Kjo7ERV08Pyo8GNfsx3yucSMqQA+4tjfXn/LtKpSIhIeGyWTdOp5P29naqqqqorKykpqaG3t5eSkpKKCkpAWSrlFcIy87OvmjnRGeryPcaK5Sc/oBURwqx6kTiPDmX3HbghBmFR0mPw8LRox8wv+kODOkZwSl0FOQWGjl9sI2ao2aW3Dop1OWch8vlor6+Xg6nLyuTs5a8a1ceSElJYerUqbKNMSPjsl0Aymg1KmMUTvMAtvoeovKD9/4cKG6enc6mo828V9rKg6+UsOHLy0hNTeXmm2/mmmuu4dChQ+zfv5/e3l62bNnC9u3bKSwspKioaNxPR6uvr2fz5s1UV1cD8mfGwoULWb58+eXFwcRcUGrA0S93UifmjLoeb8B9e1MfdqsTjU5ceggEIHfxJiUl0dbWhtlsFsKXQBBgxKdPBOMLtk/VR0yOiZd4bTwToifQ3NdMmaWMBWkLQl1SxOPt9oo1JqPV+3flW6FUkDvHyMldzVQVm4IqfCnj41FNmICzuRlbWRn6BR95rXgnOgYx3ysYGNIzAehobsTtdqFQXLwz50KoVCpSU1NJTU1lyZIlOBwO6uvrOX36NJWVlbS2ttLS0kJLSwu7du1CrVafY4tMTk722SK9HV9iomNk0202ceT9TWRrp7Eo+QZ6dzQSuyQdSX3h11Z/sZwF1B3XBQ0eDr/1Gqs+95VgljwismckISkkLE19dJkGiE8OvWBrtVo5ffo05eXlVFRUMDAw4PudhITKFs+UyVNZfduSEV38aLJjcZoHsNd2jwnhS5IkfrJOtjweb+zmyW2VfPXqKcCZMPalS5dSWlrK3r17aWpqori4mOLiYnJzcykqKmLKlCnjyjrU1NTEli1bqKioAEChUDB//nxWrFhBXFzc0HaiVIFxKrQel3O+/CB8RcdriTXo6LFYaavpDur5g0AQ7hiNRtra2jCZTEyZMiXU5QgEYxohfEUw3nyvSA2bzjfky8JXhxC+/IGpvgaAZD8G259N3pxkWfg6YmLF3VODKrbqpk6lt7kZ66kLCF/NcvfSWOv4iktJQalW43I46G5rIyHt/Elvw0GtVpOXl0deXh4APT09vm6wyspK+vr6OH36NKdPn5aPHxfnE8HaB4doROp7jUBm76v/xeVw4JzkQRmlxdVpo29/CzHLzu/icnXbsJ3uBCDj+tlQ+hIntn7I0rs+gT4uvO2Dumg16ZPjaSzvpOaomdnXZIWkjo6ODsrKyigvL6empga32+37XVRUFFOmTGFiZh57/tWG5FZx3c1FxCeO7G9Mkx1H/+E27HU9/io/5Hgtj19/8Qi/+7CCVdNTKUg7I+CoVCoKCwuZNWsW9fX17N27l5MnT1JdXU11dTUGg4HFixczZ86cC1pExwqtra1s3bqVkyflXC5JkpgzZw5XXnnlyKZgJhfIwpfpJORf75caU/Pi6LFYaakWwpdAcDZn53wJBILAIoSvCCZSJzp6KTAUsLV+Kyfb/ReiOp45k+/lX5ujl6wCA2qdkr4ue9BDo7UFBfRu24btowH3p96CrkErYFph0OoJBgqFksQJGZjrarA0NYxa+PoosbGxzJ49m9mzZ+PxeGhtbfWJYLW1tXR3d/s6KPCAKimG8uYB9DV2MjMzRaB0hGFpauT41g8AWPax+4jtSKDztdP0bGsgevGE84Lr+4+YwAOaiXEkLyokbdIUWiorKHnvLZbccW8oHsKwyCk00ljeSXUQhS+3201jY6NP7PJOz/OSlJTkC6bPyspCqVRS/H4dkttCWl488ckj/yzXZMsWcHt9T0RNs7wct8xJZ9OxZt4vbeWbL8uWR/VHMiYlSSI7O5vs7Gw6OzvZv38/hw4dwmKx8Pbbb7N582bmzZvHokWLxpSVqL29na1bt3Ls2DHfv82aNYurrrqKpKSkke84ZTDg3k+THQHScuM5fbCN1urIH8AgEPgT72RHk8kU4koEgrGPuHKJYHxWx7TIDHT15nyVdYjJjv7AXCdPdDQGqONLqVaQM8tIxYFWKotNQRW+vDlf50x2PLUJXvqU/POcT4BuiFaOCMKQkYW5rob2xnry5i0M2HEkSSItLY20tDSWLVuGw+GgtrbWJ4S1tbXhVPdy5MQBjpw4gFqtJjc319cRlpSUNKJpkYLgseulZ/G43eTNW0hG/jQ8Tjc9m+twddvpO9RKzOJzhdX+w7Joo58nTwKdv3Ydm373C4rf3ciCm29DrQnvDprc2UZ2vXKa5opObP0OtAEKfLfZbFRVVVFWVkZFRQV9fX2+33kFGa/Y5V3ZP5uyvfI0x/yitFHVoU6LRtIo8dhcONv6UUfoecFHkSSJn946k/2DlsentlfxlZWTL7p9QkIC1157LVdeeSUlJSXs27eP9vZ29uzZw969eykoKKCoqIjs7OyIfc/q6Ohg+/btHDlyBI9HHoQwbdo0Vq5cSUpKyugPkOwNuPffoqQ356u1uguPxxOxz71A4G9Ex5dAEDyE8BWheDwen9Uxkju+AE53nsbhcqBWRvYkqlDi8Xgw1wdW+AKYNDeZigOtVBW3sfS2SUE7efVNdiwvx+NyIZW/DS9/GtwOmHk73PS7oNQRbLw5X5bGhqAeV61WM3nyZCZPnoyluY9nf7wdd3Q3WUUqKisr6e/vp7y8nPLycgDi4+N9Ilhubi56fWS+J41VWqtOU75nB0gSy++5DwBJpSDmyky63qyiZ2s90QtSkQY7aezNfTha+kApoZ8ln5RPXbyMHckpdJvaOLl9C4Wr/GOBChTxyXoSJ0TT0dxH3QkLUxb6L/C8q6vLF0xfXV2Ny+Xy/U6r1TJ58mTy8/OZPHnyJf8WzA29tDf2olBJTJ4/OsFCUkhosmKwVXZhq+0eM8IXQEqcjkduns7/vVjCbz8oZ9W0VPLTLj0QR6vVsmjRIhYsWMDp06fZu3cvVVVVnDx5kpMnTzJhwgSKioqYMWNGxHSvdnd3s2PHDg4dOuSzzU6dOpWVK1cyYYIfO4KTBzu+TOV+m+yYnBWLQiUx0OOg22wNi9w9gSAc8HZnDgwM0NfXJ6bTCgQBJDI+7QXnMdDjwNbvBAniI3TSWnp0OrGaWHrsPVR1VZFvyA91SRFLj9mEfaAfhVIZ0Klr2TOSUKoVdJutmBt6Sc4KzjROzcRsJJ0Oj9WKfcu/0O7+FridMPMOWPekHMg7BknK8Apf9ZfZMnB0tvajdGtJS8zj9tsX4na7z7FF1tXV0dXVxeHDhzl8+DAAGRkZPiEsMzMTpXJ4wfwC/7LzxWcAKFh6BckTc33/HrMojZ4t9bg6bPQXtxG9QO466i9uBSCqwIBisFNKoVQy/8Zb2PLvv3Fw4wZmXX0tUpgHh+cWJtHR3Ef1UfOohC+73U5rayunT5+mrKyMlpaWc36fkJBAfn4++fn5l5yO+lHK9sn7yZllRBc9+oUfTXYctsouOedrsX+t0aHm1jkZbDrazAcn2wYtj0tRKS//+lMoFEydOpWpU6fS2trKvn37OHr0KM3NzWzYsIH333+fhQsXMn/+fGJiYoLwSIZPb28vO3fu5MCBAz6RNS8vj5UrV5KVFQAbryEXlFpwDkBnDRjyRr1LpVpBclYsrdXdtFZ3CeFLIBhEo9GQkJBAZ2cnJpNJCF8CQQAZm1eL44DOVtlOEZekQ3WRiVzhjiRJFBgKONBygJOWk0L4GgWmwXwvQ3omSlXgOufUWiXZ0w1Ul5ipKjYFTfiSlEq0U6diPXoU239/iDbLCbPuhFv/OmZFL5CtjiALX6Gyh3S1ydPnEgYFdoVCwYQJE5gwYQLLly/HbrefY4s0mUw0NjbS2NjI9u3b0Wg059giDQaDsLkEkYbS49QcOYRCqWTZXZ8453eSWknsFZl0vVVN95Z69HNTQRrM90K2OZ7NzJWr2f3y83Q0N1JVfIBJ8xcH7XGMhJzCZA6/W0ft8XZcLjfKywglVqsVk8l03ldXV9d522ZmZvrErrMnoA4Vt9tD+f5Bm+Pi0dkcvWgmynYye93Yy1GSJImfrZvF/uptHGvs4snLWB4vRGpqKjfffDPXXHMNhw8fZv/+/fT09LBlyxa2b99OYWEhixcvJi3NP/8fo6W/v5/du3ezb98+HA4HAFlZWVx99dXk5uZe5t6jQKEcnOx4DExlfhG+QLY7tlZ301LdzdRF4fEcCwThgNFopLOzE7PZTE5OTqjLEQjGLGP3inGM4833SkiN7JWB/MR8DrQcoMwicr5Ggy/YPoA2Ry+T5ibLwtcRE4tv9s8J8VDQpWixAtYOBXFr7oZb/yKfoI9hEiekgyRh7etloKc7JNP0Otvk95r4i0x01Gg0TJkyxTeGu6ur65xpkQMDA5SVlVE2mM+WkJBwji0yKkqs/AcKj8fDjv/+G4BZV197wQEJ0Ysn0LOtHle7lf6jJpQxatzddhR6Fbr8c6evaaL0FK6+gQOvv8LBNzeEvfCVmhtHVKyagR4Hzae7yMyXg837+/svKHD19Fx8IqJer/fldU2ZMmXU3UENpyz0d9nRRquYOHMUQeRnoRlciHCaBnD3O3zdemMF2fI4gwdeKuF3H1QMyfJ4IaKjo1mxYgVLly6ltLSUPXv20NTU5BvmkZOTQ1FREVOnTkURgq5Gq9XK3r172bNnDzabDYD09HSuvvpqJk0KUsRASoEsfLWdhPwb/LLLtNx4jtJAa9X5QrJAMJ5JTk7m9OnTIudLIAgwQviKUM4E20d2lo435+uUxX/Tg8YjvnyvAE10PJucQiMKhYSlqY+Olr7gDFc4sQFtx4dAHDbXxHEhegGotTrijCl0m1qxNNSjnx4C4WswSzAhZWjvNfHx8cydO5e5c+fidrtpaWk5xxbZ2dnJoUOHOHToEJIknWOLzMjIELZIP1J1+ABN5SdRabQU3XbPBbdRaJXELM+k+90aejbXocmQBZ2owuTzJj0CzL1+LYc2vkbDyeO0nC4nbfLUgD6GkeLxeOjr6yV+khNLeSPvvNOMcrcds9l8TgD9R4mNjSU5Odn3ZTQaSU5O9rv9xGtznLIgFeUFnueRoIxWozJG4TQPYKvrIarAcPk7RRjr5sqWxw9PtfHgKyWs/9LQLI8XQqlUMmvWLGbOnElDQwN79+6ltLSUmpoaampqSExMZPHixcydOxetNvDDHOx2O/v372fXrl0MDMidtikpKVx99dXk5+cHt1PWl/Plv3Mzb8C9ub4Xp92FSiPe6wUCOBNwLyY7CgSBRQhfEcpYE77KLGVi0s8oCGbHl1avJrMgkbpSC1VHTMy/PsDC1/FX4dXPo0uQT5KtXepxIXp5ScrIlIWvpgYyp88M+vG9HV8JF+n4uhQKhYL09HTS09NZsWIFNpvtHFuk2WymoaGBhoYGtm3bhlarPc8WKRgZHrebXS/8B5DFqhjDxbuKYpZMoGd7A07TAE6TfMGtn3vhsPVYg5GCZVdQun0zBzduYO3Xv+3/4oeBx+Ohu7v7gh1cVqtV3igOejuAjjP3i4+PP0fg8opcwehAtFudVBXLFzj+sjl60WTH4jQPYK/rHpPClyRJ/Oy2Waz+9TaONnTx1I4qvnzV8CyPF9pnVlYWWVlZdHZ2cuDAAQ4dOkRHRwfvvPMOW7ZsYe7cuSxevJjExEQ/PZIzOBwODh06xI4dO3yibFJSEitXrmT69Okh6TojZXCyY5v/JjvGJumIitMw0G3HVN/LhEnBX8gRCMKR5ORkQEx2FAgCjRC+IhRvxlekC1958XmoFWp6HD009jaSGZsZ6pIiDpfTgaVJnvqXHAThCyBvbrIsfBWbmH99AI957BVYfz94XGhX3AEf7sDZ0oqrsxNlQkLgjhtGGDIyqT5yiPYQBNzbrU76u+zAmYyv0aDVan1B0wCdnZ0+W2RVVRUDAwOcOnWKU6fkLoPExEQmT57MpEmTyMnJQafTjbqG8cKp3dsx1dWg1Uez8JY7LrmtQqcidlk63R/UAaBK0qHJvriFbMHadZRu30z53l10tbUSn+K/iYkXw+12+8J/TSYTZrPZ97Pdbr/o/RITE+lvUaBw6Fm2dia5UzIxGo1B6eC5GFVHTDjtbuJTonxdMP5CMzGO/sNtcsD9GCU1TsfDN83gGy+X8Nv3K1g9LZUpqf7Jm0xISGD16tVceeWVlJSUsHfvXtrb29m7dy/79u0jPz+foqIiJk6cOOqFOqfTyZEjR9i+fTvd3d2+41911VXMmjUrtN2v3o4vczm4XX5ZbJIkibTcOKpLzLRWdwnhSyAYxNvx1dXVhc1mC+nnk0AwlhHCVwTitLvobpdXsiM940utVDM5YTInLScps5QJ4WsEWJoacbtcaKL0xBqTg3LM3NnJbH2+jLbaHnosVmINARAkjr4MG+4HjxvmfgLlTX9A/ffrcDQ0YD1VRnRReOcL+QtfwP2guBlMvMH2UbFqtAHIC0pISGDevHnMmzcPt9tNc3Ozrxusvr6ejo4ODhw4wIEDB3xdGd5usPT09NB0QkQALqeT3S89B8CCm24jKubyokDM0nR6djTisbnQz0255EV98sRcJhbOpfZoMYffep2Vn77ff7W7XHR0dJzXvWU2m3E6nRe8j0KhwGAwnNfBlZSUhFqtZuMfS6g93k6UNZWMjMBNvR0qZXvPhNr7u8tZk+0NuO/B4/YgKcZmF/Vt8zLYdKyZzafkKY+vjsLyeCE0Go1v2mNlZSV79+6lsrLSJ8ynpaVRVFTEzJkzhzzF04vL5eLYsWNs3bqVzs5OAOLi4rjiiiuYM2fOsPcXEBJzQKUDpxU6aiBpkl92mzoofLVUjb0BDALBSNHr9ej1evr7+2lvbyc9PT3UJQkEY5Iw+HQVDJfOtgHwgFavIio28sNr8w35nLSc5KTlJNdMvCbU5UQcPptj1uhXoIeKPk5D+uQEmio6qSo2MfsaP49UP/oSbPjCoOj1Sbjp96BQoM3Px9HQgK3s1PgRvtJlMdgSgo4vn81xiPleo0GhUJCRkUFGRgZXXHEFNpuNmpoanxDW3t5OXV0ddXV1bNmyBZ1OR15enk8ISxgnHYBD4fiW9+hsbUYfn8C8G28e0n0UejWJ6ybTX2IiesnlT7oXrF1H7dFijm1+jyV3fAzdMMPenU4n7e3t53RumUwm2tvbcblcF7yPUqnEaDT6cre8XwaD4ZJiQU6hkdrj7dQcNQe2Q3UI9HbYaCiTPZf+tjkCqFP1SFolHpsLR2s/mgmRvTh2MSRJ4rFBy2NJQxd/21HNl67yjzhzNgqFwje8o62tjX379lFSUkJLSwuvvfYa77//PgsXLmTBggWXHXjgdrspLS1ly5YttLe3A2eC9ufPn49aHUbnc97Jji1H5ZwvvwlfcpdXa40IuBcIziY5OZna2lrMZrMQvgSCACGErwiko+WMzXEsZGKdnfMlGD5n8r0CH2x/Nnlzkmmq6KSyuM2/wlfJi/DaF2XRa959sPZ3MNjZo8vPp/fDD7GWlfvveGGOt+Or29SGw2ZFrQ2e3c8bbH+xiY6BRKvVkp+fT35+PgAdHR0+Eay6uhqr1UppaSmlpaWAnInjFcFycnLGrVXAYbOy59UXAFi87i40uqFbVPVzUtDPuXC210eZWDgXY3YO5roajn74DosuYqd0OBzniVsmkwmLxYLH47ngfdRq9XniVnJyMgkJCSOyf+XMSmIb0FLdTX+3HX2cZtj78BflB1rAAxMmxxNn9H+emKSQ0GTFYjvdib2ue8wKXyBbHh+6aQbffLmE37xfzqppKX6zPF6IlJQUbrrpJq655hoOHTrE/v376enpYevWrezYsYNZs2axePFiJkw4d3qqx+OhrKyMzZs309bWBkBUVBTLli1j0aJFaDShez1ekpRpsvDVdhIK1vhnlxNjkSTotdjY8twpFq3NJTp+fL5XCwRnYzQaqa2tFQH3AkEAEcJXBOKbshaMaXpBwDfZsUNMdhwJvomOQcr38pI3N5mdL1fQXNnlv4vJI/+F174EeGD+p2HNb3yiF4C2QBZBbKfGz2tFHxePLjYOa083lqZGUnP939VwMc50fAU+8PtyJCYmsmDBAhYsWIDL5aKpqcknhDU0NNDe3k57ezv79+9HoVCcY4ucMGHCuLFFFr+zkb4OC3HJKRSuuiFgx5EkiQVr1/HOn39D8dtvMHPV9XR0dp0ncHV0dFx0HxqN5jxxKzk5mfj4eL/+f8Uk6kjOjsVU10PtcTPTloZmNd3j8ZxjcwwUmuxB4au2GxZPuPwdIpjb52Xwltfy+MpRXv3iEr9aHi+EXq9nxYoVLF26lNLSUvbu3UtjYyNHjhzhyJEj5OTkUFRUxNSpU6mqqmLz5s00NTUBsqC/ZMkSioqKwj+zMACTHTU6FbNXZXPk/TpKdzRRvr+VuauzmbMqC41OXJIIxi/enC8RcC8QBA7xKROB+CY6hqALIxDkJ8piRktfC53WThJ0CaEtKMIwDXZ8JWflBPW4sQYdKRNjaavtobrExIwVo8zOOfI8vPZlwAML/gdu/NU5oheArkA+EbedPo3H6UQKhyyUIJCUkUnjqVIsTQ3BFb5a5YyvYFgdh4NSqfRNYbvqqquwWq1UV1f7hLCOjg5qa2upra1l8+bNREVFnWOLjI8fm6HK1r5eDrz+CgBL7vgYqgBYpwYGBnyiVlu/DXvedFoUSn7xyycueh+dTkdKSsp5ExTj4uKC1rWcU2jEVNdDdUnohC9zQy+Wpj6UKgWT5g2ts24knJ3zNdaRJImfrZvF6t9so6S+k7/vrOaLVwbnPVKpVDJr1ixmzZpFfX09+/bt48SJE9TU1FBTU4NOp/NNFlWr1SxevJilS5ei14fX++lF8U129O9C07LbJ5NbaGT3+tO0VndzYGM1J7Y3suimXKYtnYAiwMKlQBCOeCc7io4vgSBwjI+rxjHG2VbHsUCMJoas2Czqe+o51XGKoglFoS4pYrD199Fjlj8kg93xBXLXV1ttD5XFoxS+ip+D17+CLHp9Fm584jzRC0CdmYlCr8fd34+9uhrtlCkjP2YEYUgfFL6CmPPl8Xjo8nZ8hbnIrtPpmDZtGtOmyRdqFovlHFvkwMAAJ06c4MSJE4C8smowGFAoFEiShEKhOO/rQv8+2m0DcayzhaODb27A2teLISOL6VesHNVz2tfXd173lslkore399wNtWdeG9HR0Rfs4IqOjg65LT+30MiBjdXUn7TgtLtQaYI/Ma9sn9ztlVOYhC46cHlO2sGJnE7zAK4+B8oAHiscSIvX8dDa6Tz4ylF+PWh5nJwSOMvjhfAK8atXr+bAgQMcPHgQq9WKUqlk4cKFLF++/LIZYGFHACY7ekmfksDt35pP5WETe16rpNs0wNbnyij5sJ4lt00mZ1ZSyN8zBIJg4u34slgsuFyu0E51FQjGKEL4ijA8bo/P6pg4RqyOINsd63vqKbOUCeFrGJjrZJtjjCFp2OHS/mDS3BT2vlZF46kOrH2OkV3MHX4G3vhfwAMLPw83/hIucsIrDQbcDxQXYz1VNn6EL+9kx8bgTXa09jmw9ctT9OKTQ291HA4GgwGDwcDChQtxuVw0Njb6hLDGxkbMZvOYsRNIkuQTw5x2G0ydg10Xxa9//ZsRCXLeTK7+/v6LHjMuLu5M7lZcHLv+9SSe3k7u+PbD5MyeF8RHP3SMWTHEJGp94fI5s4xBPb7b5aZifysQWJsjyIMKVMlROE0D2Ot7iCowBPR44cAd8zPZdKyZrWUmvvnyUV790lKUIZhoGR8fz6pVq7jiiiuor68nOTmZuLi4oNfhFxImgloPjn6wVINxsl93L0kSk+enkDvbyPHtjRzcVENHSz9v/fko6VMSWHr7ZFJzIvS5EwiGSVxcHGq1GofDQUdHh08IEwgE/kMIXxFGb6cNp92NQikRawzzfIhhkJ+Yz/u173PScjLUpUQU5voaIDTdXiB3AhnSo7E09VF7zEx+0TDzZA7/Z1D0AhbdDzf84qKilxdtgSx82cpOwU1rR1h5ZGHICP5kR6/NMcagDUl3jL9QKpVkZ2eTnZ3NypUrGRgYoLa2lv7+ftxu9zlfHo9nSP8Wim0vhsfj8d3H25FhcziwORyjfu4SEhLO694yGo3nZRMNVJzg8Fuvc3DjhrAVviRJIqfQyPFtjdQcNQdd+Ko/1UF/tx1dtJrsGUkBP54mO04Wvmq7x4Xw5Z3yeO1vtnOkvpO/76jiC0GyPF4IjUbDpEmhO75fUCjkyY7NR8B00u/ClxelSsHsq7MoKErj8Lt1lGyup6mik1ceP8iUBSksvmVSxC2+CATDRaFQYDQaaW5uxmQyCeFLIAgAQviKMLw2x/jkKJRjKAdhWpJsURKTHYeHabDjy5gV3ImOZ5M3NxlLUx+VxabhCV+H/gVvfk3+efEX4frHLyt6AejyZfuF9dT4ea0kDXZ8dTQ34na7UPjRcnIxfEM0wizfa7RERUVRMJgVFymcLW5dSCTrMrXx4iPfxe12cd2Xvk7alPwRi29KpZKkpCSMRuOQp83Nu+Fmit9+k9qjxZhqq0memBvgZ2RknC18ee71IAWxI8gbaj9lYSpKVeA/uzXZsfQfasVe1x3wY4ULE+Kj+OHa6XzrlaP86v1yrpmWyuSUCLMXhhsp02Thq+0UTLspoIfS6tUsWTeJmVdmsP+NKk7ta6HiYBuVxSZmXZnJghtz0MWMbduuYHzjFb7GSke6QBBuCOErwvAF248hmyOcCbiv7qrG6rSiU42dbrZAYvYG24eo4wtg0txkDm6qoa7Ugt3qHNpkpoP/hI1fl39e/CW4/rEhiV4AusHJjtay8TPZMdaYjEqtwemw09XWSmJa4MO5z0x0HFvCVyRytp3xQux65h9g6ydnZiGFy1YEuTqIT0llatEyyvbs4ODGDdzwlQeCXsNQyJyaiFqrpK/Ljqm+h5SJwbFR2a1Oqo/IWYyBtjl60Q4+Nnt9Lx53cEW+UHLn/Ew2HW1mW7mJB18p4ZUvhsbyOGbwTXYMXjd+rEHHNZ+eTuE1WexZf5r6kx2UbK7n5J5m5t8wkcKVmajUkduFLBBcDG/AvRC+BILAMHZahsYJnYPCV8IYCbb3kqJPIVGbiMvjorKzMtTlRAQejyfkVkeApIwY4ow6XA43dScsl7/DgX+cEb2Kvjws0QuQc70kCZfJjLO9fWRFRxgKhZLEdHl4QLByviIl2H68095QR+n2zQAsv+dTIatjwU23AXBq1zZ6LOF50q5UK8ieLtv+qo8Gr8aqYhNOh5uEVD0pOcEJXVel6JG0Sjx2F47BTvHxgCRJPH77LGK1KorrOvnHzqpQlxTZBGiy41BIzorl5q/N5ab/N5ukjBjsA072rK/kuYf3UravBY/74hZwgSAS8dobxWRHgSAwCOErwuhoHVsTHb1IkkSBQV5ZFDlfQ6PX0o6trw9JofCFn4cCSZKYNDcFgKojl/mwPvB32DTYDbLkq3Ddz4YlegEooqNRZ8uP13pq/HR9GdKDm/PlzfiKTxHZKuHMrhefxeNxM3lhEROm5IesjrRJU8icNhO3y0XxOxtDVsflyCmULyxqgih8nRq0OeYvTg3apDpJIaHJkkU2e11PUI4ZLngtjwBPvFfO6bbey9xDcFGSB99T2ivA5QxJCdnTk7jr+wu55lPT5AEVFhsf/LOUlx47QP2pISy2CQQRwtkdX5fK9hQIBCNDCF8Rhs/qmDq2rI6AT/g6ZRk/YsZo8NocEydkoFKHNvcib678YV1zzIzL4b7wRvv/Bpu+If+89H/h2p8MW/Ty4s35spWVj+j+kYhvsmNT4Du+PG6P6PiKAFpOl1OxfzdIEsvu/mSoy2HBTesAOPr+29gHLj4VMpRMnJmEJIG5vpceizXgx+vtsNJY3gHA1EXBsTl60WQPCl+14yfny8udCzK5Ymoydqebb71Sgkt0B42M+Gx5sqPLDpbQdc8pFBIFSybw8UeLKLo1D+UNp1UAAMnsSURBVI1Oibm+lzd+e4Q3/3CE9kYhbgoin8TERCRJwm630909/t63BYJAI4SvCMI24KS/yw6MPasjQL5BXlkUAfdDwzQofIXS5uglNSeO6HgNDqvrwiuw+56Ct74p/7z0/8HqH49Y9AJ5siMgT3YcJ3gnO7YHoeOrt9OG0+FGoZCISxJ5e+HKjhf+A8D0FStDOuDCS97chSSmZ2Lr7+PY5vdDXc4FiYrVkDYpHghO11f5/lbwQPqUBOKMwe2e1HhzvsZRwL0XSZJ4/DbZ8ni4rpOnd1aHuqTIRKE40/VlCv3nrUqjZP71OXzix0soXJmJQiFRd8LCiz/Zz+b/nKS3wxbqEgWCEaNSqTAYZDu+yPkSCPyPEL4iCG++lz5egzZq7M0lOLvja2/z3hBXE/6Y6+WJjslhcMErKSTy5shdX1XFH7E77v0rvP2g/POyr8PqH41K9ALQFYzjyY6NDQFvgfcG28clR6EYQ9NjxxJ1x0uoO3YEhVLF0js/HupyAJAUChasuRWAw2+/jtvlCm1BFyFYdkePx3OWzTG43V4A2kGro7PdiqvXHvTjh5r0hCh+sFbOqHrivTIqTaIraEQkD+Z8hYHw5SUqVsOKu6dy7yOLmTQvGY8HTu5u5rmH9rD39UrsA6GxZQoEo0UE3AsEgUNc0UQQYzXfy0tOXA6T4idhdVn5/Huf58sffJnTHadDXVbYYg6jji+AvHlyzld1iRm3a9DuuOfP8M635Z+XPwCrHhm16AWgyx/s+KqqwmMfHxd0CRPSQZKw9vXS39UZ0GN1tcn5Xgki3yss8Xg87PjvvwEoXHU98SmpIa7oDNOuWElUXDzdpjbK9+0KdTkXJHdQ+Goo6wjoBbK5vpeO5j6UKgWT5qcE7DgXQ6FXoxr8Gx5vOV9e7lqQxYopRmxONw++LCyPIyJlcLJjW/jlryak6Ln+/lnc/q35TJgUj9Ph5tDbtTz70B6ObW3A5bpI9IJAEKaIgHuBIHAI4SuCGMv5XgBKhZJ/Xv9PPj7t46gkFTsad3D7m7fzyO5HMPWLD4CzcTmdvpDzcBG+0ifHo4tWY+1z0FTRCXv+BO9+V/7lim/ANQ/5RfQCUKWno4iLA4cDW9X4mNql1mh9Akegc746W+X3mniR7xWWnD64l5bT5ai0WopuuzvU5ZyDWqNl7nVrATj45oawDOhNSNUTnxKF2+WhrjRw4dhlg91eubONIevS1mR77Y7jU/iSpzwWEjNoefznLmF5HDZh2PH1UdLy4ln3zXnc8MVZJKTqGehxsP2Fcv776D4qi9vC8n1IILgQXuFLdHwJBP5HCF8RhNfqOBbzvbwk6hL5zqLv8Nqtr7F64mrcHjevVrzKmg1r+PORP9PvCM/A5GDT2dKEy+lErdURnxz8ToILoVAqyJ0tf2BXvb0Z3v2e/IsrHoSrf+g30Qvkixnd1KmAmOwYCLxWx4SUsfteE6m43S52vfAMAPNvvIXohMQQV3Q+s6+9EZVaQ2tVBY0nT4S6nPOQJMnX9VVzLDAXF26Xm/KDrUBobI5etNnjN+fLS0ZCFD9YI4s3v3y3jCpheRwe3o4vcwW4HKGt5RJIkhy5cM9Di7jy3qlExarpahvgnSePs/6Xh2mu7Ap1iQLBZRFWR4EgcAjhK4LoaBnbVsezmRg3kV9f9WueueEZZifPZsA5wF9K/sKaDWt4ufxlnO7xnd/gC7bPmoikCJ8/Y+90x6oKDx6PBFd+G1Z+36+ilxftYM6XbRzlfPkmOzYGp+NLTHQMP07u2Ep7Qx266BgW3HRbqMu5IPq4eGZcdQ0ABzauD3E1F8ab81V7rP2MNduP1J/sYKDbTlSsmqwZBr/vf6hoJg5OdqzvweMav10vdy88y/L4ylFheRwO8VmgiQG3I6STHYeKUqlg5pWZfOLHS1hwYw4qtYKWqi7W//IQ7zx5zPf5JhCEI96Or97eXgYGBkJcjUAwtgifK2bBJXG73HSZ5DfAxLSxaXW8EHNS5vDMDc/wqyt/RVZsFuYBMz/a8yPueOMOtjdsH7ft6+Y6OdjemB36YPuzybI8h1rqp8+dROvMH8PK7wVE9ALQDU52tI6nyY7pgZ/s6HK56TZbAdHxFW64nA52v/w8AAtvuQNddEyIK7o48268FSSJqkP7gzKJdLhMmBSPVq/C2uegpcr/3VBle5sBmLIgFWUIB0SokvVIOiUehxvH4OLZeORsy+Oh2g5heRwOknRmsmMY5nxdDI1OxeKb8/jEj5cwfdkEJAkqi03899F9bH+hnIGe8ZEPKogstFotcXFyp67o+hII/IsQviKEbrMVt8uDSqMgJkEb6nKCiiRJXJtzLa/f8jrfWfQdErQJVHZV8pUPv8Ln3vscpe2loS4x6Jjra4DwyfcCYOdvUG55iBztQQAqFTcE9HDa/DMdX+NFAPVOdgxkxleP2YrHLb/XRCdoAnYcwfA5+sE7dJtaiU40MPf6taEu55IY0jOYNH8xAIc2vRbaYi6AQqlg4qwkwP/THe0DTqpK5H3mF4XO5gjyxF3N4HTH8Wx3BNny+L0bz1geq83jVwgcNhGQ83UxohO0rPzkNO7+wSImzkzC7fZwbGsDz/xwDwffrsFhD8/ps4Lxiwi4FwgCgxC+IoSOs6xHkiIwHTThjlqp5uPTPs6m2zbxmZmfQaPQsL9lP3dvvJvv7vguzb3NoS4xaPgmOmblhLQOHzt+BR88AkDe/AwAqgIcKKudMhkUClwdHTjbxsfJgSFD7vjqMZuwWwPTAu/N94pP0SMFqFtPMHwcVit7178IQNFt96DW6kJc0eVZcNM6AEq3bw74JNKRkFsoW7Or/Sx8VRa34XK4SUzTk5wd69d9j4TxHnB/NvcuymL5ZDHlcdiE8WTHoZKUEcPar87mlq/PITk7FofVxb7Xq3juob2c3N2EW7wWBGGCCLgXCAKDEL4iBF++l8jcIU4TxwPzH+DNdW+yJm8NABurNrJ2w1p+fejXdNvH9qq2faCfrjY5NDksrI7bfwkf/kj+eeUPmHjX/6BUK+g2W2lvDFyIsEKnQ5OTA4CtfHzkfEXFxhEVFw9AR1NjQI7hy/cSNsew4vDbb9Df1Ul8ahqzrl4d6nKGREb+dCZMzsflcFD87qZQl3Me2dMNKJQSna39vs9Yf1C2T57mOHVxWliIx9qJsvBlG+cdX+C1PM4iWqPkYG0H/9pdE+qSIoMI7vj6KJkFBu78zgJW/890Yg06+jptbP7PKV766X5qT7SPmw5yQfgiAu4FgsAghK8I4cxEx/GT73U50mPSeXzF47yw9gUWpS3C7rbzz+P/ZM36NTx38jkcYTx9aDSY6+sAiE5IRD8ogoSMbb+EzT+Rf776h3Dlg6i1SrKny2HOlYcD24nly/kSkx39Rmeb3EmWkBoVkP0Lhs9Abw8H3ngVgGV3fhylSh3iioaGJEnMXyt3fR15bxMOmzXEFZ2LJkpFxtQEAGqOtvtlnz0WK41lnUBopzmejdfq6Gq34uoVuUaZiXq+55vyeEpYHoeCt+Or/TQ4I/81JCkkpi5K42OPLmbp7ZPR6lW0N/ax8Q8lvPG7I5hEd6QghAiro0AQGITwFSF0DApf42Gi43CZkTSDv1/7d/50zZ/Ii8+j09bJ4/sf59bXb+X92vfH3Opd2OR7bf05bBkUva55GK74pu9Xk7zTHY8E9kP77Jyv8UKgc77ERMfw48Abr2Lr78OYnUPBsitDXc6wmLJoCfEpqVh7uindvjnU5ZxHzqDdseaYf1bWy/fL3V4ZUxOINYSHHVURpUI12MEp7I4yH1uUzfLJRqwON996pUTY3C5HXAZo48DtBEtlqKvxGyq1krmrs/nEj5cwZ1UWCpVEw6kOXnrsAB/8s5QeS3iJ9YLxgVf46uzsxOEYm4v4AkEoEMJXBODxeM5YHYXwdUEkSeKKzCt49eZXeWjJQyTpkqjrqeOBrQ9w39v3caTtSKhL9Bu+iY5ZIbQ5bnkMtv5M/nnVI7DigXN+nVNoRKGQsDT1+dVC9FHGZcdXRmAnO3a1CatjONHbYaH47TcBWH7PJ5EUkfWxrVAq5QmPyCH3bnd4BUnnFMoB982nO7H2ju4Cw+PxULb3jM0xnNBki4D7s5Ekicduky2PB2qE5fGyROhkx6Gii1az7I4pfPyRIqYsTAWPbFl+7qG97F5/Glu/EB8EwSMmJgadTofH46G93T/dyAKBQAhfEYG114Gt3wmSHDgtuDgqhYo7p97JW7e9xZdmf4koVRRHTEf45Nuf5IGtD1DXXRfqEkeNL9g+FB1fHg9s+Rlse1y+vfpHsPz/zttMq1eTWZAIBLbrSzdjBigU2Csr6X7vvYAdJ5wweDu+Gv3f8eWwu+jtsAFC+AoX9r76Ak67jQlTC8ibtyjU5YyImStXoYuOoaO5icpD+0NdzjnEJUWRlBGDxwO1x0fX9WWq66GjpR+lWsHkeSl+qtA/+HK+akXHl5csg57vDk55/MW7p6gRlsdLkzxodxwDOV8XI84YxbWfncGd311AxtQEXE43xe/V8cwP91DyYT0uhzvUJQrGAZIkiYB7gSAACOErAvDaHGMNOtQaZYiriQz0aj1fnvNlNq7byO1TbkchKXi/9n1uef0WHt//OB3WjlCXOCI8Hg+mernjKznYwpdP9Pq5fPvan8Cyr1108zyv3bE4cMKXymgk6XOfA6Dlhw/haG0N2LHCBW/GV0dzE26Xf7tnugbzvbTRKnQxkZEjNZbpbGnm2OZ3AVhx76fCIih9JGh0URSuvgGAQxs3hLia88mdLV9gVI8y58vb7ZU324gmSjXquvyJt+PL0dCDxyVsfV4+vjibpZOSBi2PR4Xl8VKkDAbcj8GOr4+SMjGOW/5vLmu+UkjihGhsfU52vlzB84/upeJg65iL0BCEHyLgXiDwP0L4igCEzXHkpOhTeGTpI7xy0yssz1iO0+3kuZPPsWb9Gp4+/jQ2ly3UJQ6Lvs4OrD3dSJICQ2ZW8A7s8cgh9tt/Id++9qew9H8veZfc2ckgQVttT0BzMpK/+hV0M2bg6uqi6TvfweMe2yuyccZkVBotbpeTrrYWv+5bTHQML3a//Bxul4uc2fPImj4r1OWMirnX34RCqaLxVClN5eHVMZIzSxa+6krbR9zR4XK5qTgoC+/hZnMEUCXrkXQqPA43jgDazyMNSZL4+e2F6DVK9tdY+PeemlCXFL6Mg46vs5EkiZxZRu75wUJWfqIAfbyGbrOV9/5+glceP0hTRWQuoAoiAxFwLxD4HyF8RQAdgxejialiouNImZI4hb+s+gt/u/ZvFBgK6HH08JtDv+GmDTexsWojbk9kiCVem2NC2gTUGm1wDurxwIc/gh1PyLevewyWfvWyd9PHaUifnAAEtutL0mhI/+UvkaKi6N+zF8u//h2wY4UDkkJBYnoGAO1+tjt2tolg+3DBVFfDyV3bAFh+z30hrmb0xCQamLbiKiD8ur5SJsaij9PgsLpoHOHFbH2phYEeB1Gxat9U23BCUkgi5+sinG15/Pk7wvJ4UbzCV3slOCNr0XA0KJQKpi9P5xM/WsKim3JRaZW01faw4VfFbPrzUSzN4vUi8D/C6igQ+J8RCV9/+tOfyMnJQafTsXjxYvbvv3hmx9/+9jdWrFhBYmIiiYmJrFq16pLbC86nc9DqmCA6vkZN0YQiXlz7Ij9d/lNS9ak09zXz3R3f5Z6N97C/Ofxfl2fyvYIUbO/xwIePws5fy7evfxyWfHnId8+bI7dqVxa3BaI6H9q8XFK/+x0A2n7zG6wnx7YVwzfZ0c8B92eC7aP8ul/B8Nn5wn/A42Hq4mWk5k0OdTl+YcGaWwGo2L+Hzlb/diuOBkkhkVMoX2TUlIzsIqNsn/x4pixMRaEMzzVFrVf4qhXC10f5+KKzLI+vCsvjBYlLlyc7elzQfjrU1QQdtVbJwjW5fPLHS5hxRQaSQqLmqJkXfryfrc+doq9r/IiBgsDjtTq2t7fjHuNOBoEgWAz77OzFF1/kgQce4OGHH+bw4cPMnj2b6667jra2C1/Ybt26lXvvvZctW7awZ88esrKyuPbaa2lsbBx18eMFYXX0LwpJwc2Tbmbjuo18bd7XiFHHcNJyks++91m+8uFXqOwM31Hd5nrvRMecwB/M44EPHoadv5Fv3/ALKPrSsHbhzflqruyiv9vu7wrPIeHOO4lZdQ04HDR+80HcAwMBPV4o8eZ8+TvgvrNVfs7EEI3Q0lh2kqpD+5EkBUvv/kSoy/EbxuwccubMx+Nxc/it10NdzjnkDgpf1cfMw87vsQ04qT4iC2YFRRP8Xpu/0GQPBtzXiYD7j6JQnGV5rLbwH2F5PB9JGnd2xwuhj9Nw1cfyufehReTONuJxezixo4lnH9rL/o3V2K3OUJcoGAMkJCSgVCpxOp10dnaGuhyBYEwwbOHr17/+NZ///Of5zGc+w/Tp0/nrX/+KXq/n6aefvuD2zz33HF/+8peZM2cOBQUF/P3vf8ftdvPhhx+OuvjxgNPhortdzkdKTBNWR3+iU+n43KzPsem2TdxbcC8qScX2hu3c9sZtPLrnUcwD4ddebBrs+Ap4sL3HA+//EHb9Tr594xOw+AvD3k2sQUfKxFjwQHVJYHMKJEliwo9/jCo5GXtlJW2/fCKgxwslvsmOTf7t+BJWx9Dj8XjY+YJs151x1TW+7r6xwoK16wA4tuU9BnrDR4DJLEhEpVbQa7HR3tg7rPtWHm7D5XSTOCEaY1ZMgCocPZrsWJDAZbHi6g3sQkQkkmXQ890bZGHn5++UUdsuLGznkTIofLWNX+HLS2JaNDd+qZB135hHam4cTpuLAxuree6hvZzY0YjbJbp0BCNHoVAIu6NA4GeGJXzZ7XYOHTrEqlWrzuxAoWDVqlXs2bNnSPvo7+/H4XBgMFw8A8Nms9Hd3X3O13ilq20APKDVq4iKFVPWAoFBZ+B7i7/Hhls2cE32Nbg9bl4pf4Ub19/IX478hX5Hf6hLBMDtdmFpkIWOgFodPR547wew+w/y7RufgEWfH/HugjHd0YsqMZEJjz0GQMfzz9OzZUvAjxkKDBlnOr78NV3K2ufA2usAID5ZWB1DRW3JYRpKj6NUqVhyx72hLsfvZM+cTfLEXJw2G0fffzvU5fhQaZRkTpPPS6qHaXf0TnPMX5wa1pM3FToVqsFuTntt+IiO4cTHF0+kKM/AgMMlpjxeiOTByY6msR0nMBzSpyRw+7fmc+3nZhBn1NHfbWfrc2W88OP9VB8dfgepQOBFBNwLBP5lWMKX2WzG5XKRmpp6zr+npqbS0jK0vI5vf/vbpKennyOefZTHHnuM+Ph431dW1tha8R4OHS1nOjDC+YR6LJATn8NvV/6Wf1//bwqNhQw4B/hzyZ9Zu2Etr5a/isvtCml9nS3NOB12VBot8akBmhrm8cC734c9f5Rvr/nVqEQvgElzUwBoONWBtc8x2govS8zyZRg+9SkAmr//A5xjcKUsMS0dSVJg6++jv6vTL/v0dntFJ2jR6FR+2adgeHjcbna88B8AZl+7hjhjSogr8j+SJLHgptsAKH7nTZyOwL8nDJXc2YM5X0eH/p7R3T5AU0UnSDB1UfhNc/wo2kG7owi4vzAKhcQv75iNXqNkX7WFZ/bWhrqk8EJ0fF0QSZKYsiCVjz1SxPI7p6CNVtHR0s9bfz7Ka78uprVG/L0Jho/o+BII/EtQE1gff/xxXnjhBTZs2IBOp7vodt/97nfp6uryfdXX+9fOE0mIfK/gMy91Hs/e+CxPXPkEmTGZmAZMPLLnEe548w52NOwI2eqdN9g+KTMbhULp/wN4PPDOd2Hvn+Tba38DCz836t0mpOoxpEfjdnuoPRacD+/kB/4P7dSpuCwWmr7//TG34qrSaIhPkRcg2hv88/7Y1Sbne4lg+9BRvm83bdWVqHVRLF53V6jLCRj5S1YQY0iir7ODUzu3hrocHxNnJgHQVttDX+fQgqrL97UCkDE1kVjDxc9rwgXvZEebEL4uSpZBz3cGLY+Pv32Kuvbw6PoOC7wdX5aqcTXZcagoVQpmX5PFJ3+8hHnXZaNUKWiq6OSVxw/y3t+P02Uau9mjAv/jDbgXwpdA4B+GJXwZjUaUSiWtra3n/HtraytpaZde6XziiSd4/PHHee+99ygsLLzktlqtlri4uHO+xiveji+R7xVcJEniupzreP3W1/nWwm8Rr43ndOdpvvzhl/n8+5/nZHvw2/xNdYPB9oGwOXo88M53YN9f5NtrfwsL/sdvu/faHSuDYHcEUGi1pD/xSySNhr5t2+l4/vmgHDeY+OyOTf4JuO9sld9r4kW+V0hwu1zseulZAOavuRV9XHyIKwocSpWKeTfcDMDBjRvCRpiOjteSmiufb9QMQaT3eDy+aY75i8O/2wtAM1F+fI6GXjwig+iifOJsy+OrJcLy6CU2DXTx8mRHc0WoqwlbtHo1S9ZN5uM/KiK/KA0kqDjYxvOP7GXnyxVB6X4XRD5nWx3D5XNSIIhkhiV8aTQa5s+ff04wvTeofsmSJRe93y9+8Qt+/OMf884777BgwYKRVzsO8V6MirDp0KBRavjk9E+yad0mPj3j06gVavY17+PujXfz/Z3fp6VvaBZff2AOVLC9xwNvfwv2/VW+fdPvYcFn/HqISYPCV12pJWgTj3RTp5Ly4IMAtP3il9gqxtZJui/gvtE/HV++YHsx0TEknNj+IR1NDehi43wB8GOZwlXXo4mKor2hjpqSw6Eux0dO4dDtjm21PXS29qNSK5g0LznQpfkFlTEKSafC43DjaBbh7RdDoZD4xe2ziVIr2Vtl4dl9wvIIDE529OZ8Cbvj5Yg16Fj16enc9b2FZE1LxO3yUPJhPc/+cA+H36vF6QhthIYgvElKkruQrVYrfX3i/VogGC3Dtjo+8MAD/O1vf+Pf//43J0+e5Etf+hJ9fX185jPyhfJ9993Hd7/7Xd/2P//5z/nhD3/I008/TU5ODi0tLbS0tNDbO7ypSeMRj9sjrI5hQrw2nm8s+AZvrnuTG3NvxIOHNyrfYO2Gtfz20G/psQc+KNhcXwOAMSvHfzv1eOCtB2H/U4AEN/8R5n/Kf/sfJCkjhjijDpfDTd0Ji9/3fzESP/FxoleswGOz0fjNB3Hbx84kM0N6YDq+hMgefJx2O3te/i8Ai2+5A61+7P8faPXRzLr6OgAOvrk+xNWcIXdQ+Ko/1YHDdumLUm+3V+6c5IjJxZMUks/uaK8TAfeXIjtJWB4viC/nSwTcD5XkrFhu/tpcbvrf2SRlRGPrd7JnfSXPPbyXsn0teERHoeACqNVqEhMTARFwLxD4g2ELX3fffTdPPPEEDz30EHPmzOHIkSO88847vsD7uro6mpubfdv/5S9/wW63c8cddzBhwgTf1xNPPOG/RzFG6e204bS7USgk4sSUtbAgIyaDn1/xc15Y8wILUhdgc9n4x/F/sGb9Gp4/+TwOd2Da1x1WK52t8kWW36yObjds+gYc+BsgwS1/hHmf9M++P4IkSeQNhtxXHQneh7ckSaT/7KcoExOxlZVh+s1vg3bsQHOm42v0wpfH46FTZHyFjJL336an3USMIYnZ160JdTlBY96NNyMpFNQdL6GtpirU5QBgSI8mNkkW6etPXlykd7ncVByQYx/yiyLD5uhFK3K+hswniyayONdAv11YHn2Ijq8Rkz0jibu+v4ir75tGdIKWXouND/5ZykuPHaD+VPAWBQWRgwi4Fwj8x4jC7b/61a9SW1uLzWZj3759LF682Pe7rVu38q9//ct3u6amBo/Hc97XI488Mtraxzydg/le8SlRKJVBnUMguAwzjDN4+rqn+cPVfyA3PpcOWweP7X+Mda+v48PaD/3uxW9vqAOPh6i4eKITEke/Q7cb3voGHPwHsuj1J5j7idHv9xJ47Y41x8y4HMHLllElJzPhpz8FwPLPf9K3e3fQjh1IvBlfPe0m7NbRBeb2d9lx2lxIEsQZhfAVTOwD/ezb8CIAS+64F7VGG+KKgkecMYX8JSsAOesrHJAkydf1dSm7Y90JC9ZeB1FxGrIK/PCeHES8OV+i4+vyKBQSv7ij0Gd5fE5YHkXH1yhRKCSmLZ3AJ35URNGteah1Ssz1vbzx2yO8+YcSus0iAF9wBhFwLxD4D6GmhDEdrbLNUViPwhNJkrgq6yrW37yeHxb9EIPOQG13LV/f+nU+9c6nKDGV+O1YpkGbY7I/ur3cbtj0f3DwaUCCW/8Ccz8++v1ehtScOKLjNTisrqCvbMZevZKEe+8BoOnb38HZ0RHU4weCqJhY9PEJAHQ0NY5qX958r1hjFEqV+FgIJoc2vc5ATzeJE9KZedXqUJcTdLx5ZmW7t9NtDg8rR87sQeHrmPmiFqSyvXIH7tSFqSgibGFKkxULErgsVlw9Y8f+HSgmJkXz7evzAXjs7VPUW8a55dHb8dVRDQ5raGuJYFQaJfOvz+GTP17CrJWZKBQSdSfaef23xfR1iYmZApmzA+4FAsHoiKyztXGGmOgYGagUKu7Kv4u3bnuLLxR+AZ1SR3FbMZ946xN8Y+s3qO8eXfj4QG8PJe+9Bfgh38vtho1fh0P/AiRY91eYc+/o9jlEJIVE3hx55aoqSNMdzyb1W99Ck5eH02Si5aGHxsSEHG/OV/soA+59+V4i2D6o9Hd3cXCjnG+19K5PoFAqQ1xR8EnNm0zWjELcLhfF77wZ6nIASJ+cgEanZKDHQWvN+XZAW7/D1w0WKdMcz0ahU6Ea/Fu3C7vjkLhvSQ6LvJbHV46Ob8tjTApEJYLHDebyUFcT8UTFarji7qnc+/Bi4pKj6DZbefMPJdgGgjMISBDeCKujQOA/hPAVxpwRvsTFaCQQrY7mq3O/ysZ1G1k3eR0SEu/VvsfNr9/Mz/f/nE5r57D32dfZwcuPfpfWqtPoYmKZfe2NIy/Q7YY3/x8c/jdIClj3JMy+Z+T7GwF58+Scr+oSM25X8OyOAIqoKDKe+CWo1fS8/wFdr74a1OMHAq/dcbQ5X758r1Rhcwwm+19/BfvAAMk5eeQXLQ91OSHD2/V19IN3sPWHvptGqVKQPVOeplV9Abvj6UNtuJxuDOnRGLNigl2eX9AO2h1twu44JBQKiV/eUYhOrWBPVTvP7a8LdUmhQ0x2DAhSrBrdNanoYtW0N/Ty1p+PiqmPAp/Vsbu7G5tNdAIKBKNBCF9hTOfgRMcEIXxFFKnRqfxo2Y94+aaXWZa+DKfbybMnn+XG9Tfyr+P/wuYa2gdXt9nEi498B1NdDdEJidz98GO+Dp9h43bDm/8Lxc8Mil5Pwey7R7avUZA+OR5dtBprn4Omis6gH183fTopX/8aAC0//Rm26uqg1+BPDOnegHvR8RVp9LSbOfLuRgBW3HMfkmL8fhznzpmPISML+0A/xza/G+pyAC6Z8+Wd5pi/OA1JkoJal7/wTXasFR1fQ0W2PMr5Vo+9dXJ8Wx5FzpffcLrcPLOnhque2MKD75zkBZ0VhUZBU0Un7/+jdHx3FwqIiooiOlp2/oiuL4FgdIzfM+0wxz7gpK9Lzt5IFBlfEUm+IZ+/rv4rT65+kvzEfHocPfzq0K+4ecPNbKrahNtz8Y6njpYmXnzk23Q0NxJrTObuR3+OMTtnZIW4XfDGV6H4WVn0uu1vUHjnyPY1ShRKBbmD+TmhsDsCGD7zGfRFRXgGBmh68Ft4HIGZxBkMkrwdX02j6/jqahPCV7DZ8+p/cTkcZBTMIGfO/FCXE1IkhcLX9XX4rTdwOUNv8cmekYSkkLA09dFlOhM23W0eoPl0F0gwdVFqCCscHZpsuePL0diLJ8jdt5HMp5bksChHtjx++9WjY8IyPyJEx5df2FlhZs3vd/LD10/Q0e9Aq1JQ4bDzvHoAj0Kegr3t+bLx+zoTACLgXiDwF0L4ClM6Bjsw9HEatHp1iKsRjIal6Ut5ce2L/GTZT0jRp9DU18R3dnyHj236GAdaDpy3vbmuhhcf/jbdpjYSJ2Rwz6O/IDEtfWQHd7vg9a/CkedAUsLtf4dZd4zyEY2OvMHpjlVHTBcNjg4kkkJB+uOPoYiPx3r8OKY//inoNfgLQ4bc8dXR3ITbNTJLhNvt8V3YxwurY1CwNDVyfMv7AKy491MR2zXkT6Ytvwp9fAI97SbK9+0KdTnootWkT44Hzu36Kt8vd3tl5icSk6gLSW3+QGWMQopS4XG4cTT3hbqciME75VGnVrC7sp3nx6vlUXR8jYpqcx+f+/cBPvGPfZS19pCgV/OjW2Zw+Ier+dzyXOrVbl7X2fAApTub2P9mZHenC0aHCLgXCPyDEL7CFK/1SOR7jQ2UCiW3TL6Fjes28v/m/j+i1dGcaD/B/7z7P/zvh/9LVWcVAC2VFbz46Hfp6+zAmJ3D3Y88TpwxeWQHdbvgtS9DyfNnRK+Zt/vxUY2MrAIDap2Svi77BYOjg4E6LY0Jjz4KQPtTT9F/4HwBMhKITTKi0mpxu5x0traMaB897VbcLg9KlYLYCL6QjyR2v/QsHrebvHkLySiYHupywgKVRsPc69YCcPDN9WHR4ZAzaHf05nx5PB5ODU5zzC+KvFD7s5EUElphdxwROcZovnWdLPz8bNM4tTwmDwpfHTVgH4ePf4R0DTj4ycZSrv3NNj442YZSIfHppTls/eZV3Lckh2itih+snc5zn1tMj1HDe1Gy8+PgWzUc+XB0kQaCyEUE3AsE/kEIX2FKhzffS9gcxxRRqig+X/h5Nq3bxD3596CUlGxt2Mptb9zGT195kJd+9F2svT2kTZ7KXQ8/RnRC4sgO5HbBa1+Coy/Iotcd/4CZt/n3wYwQpVpBziz5Q7wyRHZHgLjrryP+ttvA46Hx29/G1R15F3+SQoFhgjfgfmQnxZ2DNsf4lCgkheg8CjSt1ZWU7dkBwLK7PxniasKL2dfeiEqjpa26kvoTx0Jdjs+W3VzRia1fnvDY1TaASqPwTaiNZLx2RxFwP3w+vTSHhTmJ9NldfGf9OLQ8RidDlAHwiMmOQ8DpcvPs3lpWPrGVv++sxuHysDI/mXe/voJHbp5Bgl5zzvbLJht55+sryFyQzE6dHMew8+UK9m4dpx2G4xxhdRQI/IMQvsKUTt9Ex+gQVyIIBElRSXy/6PtsuGUDV2ddTWqbGtWrJ3BYrSiyk1jz7e8TFRM7sp27nLDhC3D0RVCo4M5/wox1/n0Ao8R70VhV3BbSC4bU730PdXY2zqZmWh55NCIvXgyjzPnyBdsLkT0o7HrhPwAULLuSlJy8EFcTXkTFxjHjqlUAHNy4PsTVQHyynsQ0PW63h7oTFsoHu73y5iSj0alCXN3o8QXc10We6B9qZMvjbHRqBbtOt/Pf/eOsG0eSIMWb81UW2lrCnF2nzaz9w05+8NpxLH12JiVH86/PLOSfn1nE5JSLn+cl6DX86WPzuO0T0zkW5UIC9r9QwX/fFJlf4w1vx5fFYsE1wlgLgUAghK+wxZvxJSY6jm1y43P5auw9XHc4HZVbQUPyAP+eVszt79zFhooNuNzD/IDzil7HXpZFrzv+CdNvCUzxo2DizCSUagXdZivtjb0hq0MZE03GL38BSiXdb71F95tvhqyWkeITvkbY8dXlm+go8r0CTcPJ41QfOYRCqWTpXR8PdTlhyfw1t4AkUV18kPaG0Hc3eLu+KovbqDjYBsjTHMcCmqxYkMDVYcPVYw91ORFHrjGaBwctjz/dVEpDxziz/HntjiaR83Uhasx9fP4/B/n43/dxqqWH+Cg1j9w0nXe+fgVX5acMaR+SJHHngiy++72ltMYrUCLRsqmBB586QFd/5A7mEQyPuLg4NBoNbrcbi8US6nIEgohFCF9hiNvl9tmPxETHsc3JHVt489eP4XG5mLJ4Gau/9gBp8em0DbTx0O6HuHPjnexqHGLQs8sJG+6H468Mdnr9C6bfHND6R4paqyR7ugGAysOhDeuMmj0b41e+DEDLj36MvWF0ExKDTdJgwL2lcYQdX95gezHRMaB4PB52/Ffu9pq5cvXIB1aMcRLT0pmycAkABze+FtpigJxCuTu18rAJa58DfbyGzIIRWtDDDIVOhXrwHEPkfI2MTy/NYcHEQcvjq8fGVyeOt+OrTUx2PJtuq4OfvXWS1b/ZxvulrefkeH16WS5q5fAvvSYmR/P9R5fjSdGiQSL1SA93PrGd3ZXC+jYekCRJBNwLBH5ACF9hSHe7FbfTg1KtINYgwqbHKiXvv81bf/o1HrebGVeuYu3XvsWNU9bwxq1v8M0F3yROE0dFRwVf/OCL3P/e/ZRZLmEncDlh/efg+KugUMNd/4FpNwXvwYyASWdNdww1xvvvJ2rePNy9vTR969t4nM5QlzRkDOlyx1d7Y/2ILrqE1TE4VBcfpKmsFJVaQ9Ht94S6nLBm/lrZmn1yx2b6OjtCWktqbhxRsWcmK09dmIpiBBeu4YrI+RodysEpj1qVgp2nzbxwYBxZHkXH1zm43B6e31fHyl9u5antVThcHq6ceibHKzFac/mdXAKtTsX931tMdJoevUfiqmYP9z+1j8feOonNKexvYx0RcC8QjJ6xc/Y2hvDmeyWk6kXY9BjlwJvr+eDvfwKPhznXreW6L/4/FEolABqlhk/N+BRv3fYWn5r+KdQKNXua93Dnm3fy2L7H6Hd8xE7hcsCrn4UTG86IXgVrQvCohsfEWUYUCglLU59vmEOokFQq0n/xCxQxMQwcPoz5qadCWs9wSJiQgSQpsA/0D1skcDpc9Fis8n5Ex1fA8Ljd7BzM9ppz/VpiDcYQVxTeZORPY8LUAlxOJ0fe3RjSWhQKiYkzk3y3I32a40fxCl8i52vk5CXH8OB1+QD8dNNJGjsHQlxRkPB2fHXUjvvJjrsrzaz5/Q6+t+EY7X128pKj+eenF/Lv/7l0jtdw0ehU3P2NecQlRxHvUXBHj5Z/ba1i3Z92U9EqxOuxjAi4FwhGjxC+wpAOX7C9uBAda3g8Hna99Bzbn30agEW33MHVn/kCkuL8P8V4bTzfXPhN3rj1DW7IuQEPHp4/9Ty3v3E7B1oOyBt5Ra/S12TR6+5noODGID6ikaOLVvssQ+HQ9aXJzCDt4YcAMP/pzwwcORLagoaISq0mPjUVGH7OV5dpADygiVKd09Ui8C+n9uzAVFuNJkrPolvuCHU5EcHCtfIU2iPvvYXDag1pLZPmyXk8xqwYjJn+u4gNBzQTBwPuG3rxON0hriZy+cyyXOZPTKTX5uQ7r46TKY/RRtAbkSc7js+A+9r2Pr7wzEE+9jc5xytOp+KhtdN59+tXsLJgaDlewyUqVsMtX5uDPl5DslvBXVYd5U3drP3DTv69u2Z8vPbGIcLqKBCMHiF8hSEdrXL3i8j3Glt4PB62PfN39r76XwCW33MfKz72aSTp0l19mbGZ/OLKX/DkqieZED2Bht4G/ufd/+Ene35E/8v3QenroNTA3c9C/g3BeCh+I89rdywOjw/y+JtuIm7NGnC5aPzWt3H1hrYTbagYRpjz1dUqdyYkpERd9nUoGBkup5PdLz4LwMKbbiMqNi7EFUUGkxYuJiF1AtbeHo5v+yCktUycmcQNX5zFDV+cFdI6AoHKGIVCrwKnG0dzZLzfhSNKhcQvBy2POyrMvDheLI/jNOerx+rgsbdPsvrX23n3hJzjdd+SiWx7cCX/s3xkOV7DIc4YxU3/OwdNlIo0u8SnpRjsDjcPv3GCT//zAG09oV0sEPifs62ObrdYpBAIRoIQvsKQTl/HV3SIKxH4C7fbxftP/YFDm14HYOWnv8DidXcNax9LM5ay/ub13DVVvt+L5S9zW+8R9upj4O7nIP96v9cdaHJnJ4MEbbU9PstdqEl7+CFU6RNw1NXR+rOfhbqcIXF2ztdw8A7REMH2geP4lvfpbG0mKi6eeWvCb8JquKJQKH3P1+FNr+Me7oRbPyJJEnlzkolLGnuTTyVJOpPzJQLuR8XZlsefjBfL4zjL+XK5Pbywv46VT2zlyW1V2F1uVkwx8vbXVvCjW2aOOsdrOBgzY1jz5UKUagWJnS6+k5yCVqlgW7mJ63+7g/dOtAStFkHgMRgMKBQKHA4HPT3C1ioQjAQhfIUhXqtjgrA6jglcTidv//HXHNv8HpKk4Lovfo15N4wseD5GE8MPF36bv6vzyHA4aVSr+HyqgR+176XX3uvnygOPPk7DhEnxQPh0fSnj4sj4xS9AoaBr/Xq633kn1CVdFt9kx6bhdXx5hS8RbB8YHHabr8OzaN1daHRjTzgJJDOvXIUuJpbO1mYqD+wLdTljFk32oN1R5HyNms8sy2VedsL4sTymDApf46Dja29VOzf9YSffWX8Mc6+dPGM0T396Af/5n0VMTQ2NBTp9SgLXfW4GkgTO0z38etpEpk2Iw9Jn5/5nDvHd9Ufpt0fOsB7BxVEqlRgM8jR0YXcUCEaGEL7CjIFeO9Y+ByAuRscCTrudN3/zGKd2bUOhVLLma99i5srVo9khvPwpFpdvZX2LhXvSlgPwcvnLrHtjHbsbd/up8uAxaa6cgxEOOV9e9AsWkPT5zwPQ/PAjOFrCe+XUkCF3fA034+vMREchyASCI+9spLfDQqwxmcLVkZG9F06odTpmDz5vBzauD3E1Y5czAfeii2C0KBUSv7xzNppBy+MPXz8+tkPHkwetjmO446uuvZ8vPnOIe57aS2lzN3E6FT9cO513vn4FVxekhjwmIHd2Mld9QhYga3a28JPp2XzhijwkCf67v541v9/JkfrOkNYo8A8i4F4gGB1C+AozvN1esQYdao0yxNUIRoPdOsCGnz9K5cF9qNQabnnwB+QvWT7yHTpt8NJ9UPYWKLXo73mO71/3F56+7mkyYzJp6WvhCx98gYd3P0yPPXJOtL05X02nO+nvtoe4mjMkf/Ur6GbOxN3VRdO3v4MnjDMVDOlyx1evpR37wNCna3W2eTO+hMjub2z9fex//RUAlt7xMVRqMTxgJMy9fi1KlYrm8lM0lo3di+tQosmKBQlcnTZc3bZQlxPxTEqO4VuDlsdn99ax+jfbuekPO3l6ZzXm3jH2/HozvjrrwBZ5XeeXosfq4OfvnGLVr7fxzokWFBJ8smgiWx9cyWeX56JRhc8l1PRl6RTdmgfA3lcruS0pkec+t5gJ8TqqzX3c/pfd/OHDCpyu8D2PEVweEXAvEIwOVagLEJxL53if6NhnhpZjoa5i1FgHrGz49waa6ppQa9Ssu+9WsuJ6oXLLyHe6769Q/g6odHDP8zD5GgAWpi3k1Ztf5ffFv+f5k8+zvmI9uxp38fCSh1mRucJPjyhwxBp0pEyMpa22h+oSEzNWZIS6JAAktZqMJ35J1brb6N+3D8s//0nSZz8b6rIuiC4mBn18Av1dnVgaG0ibPPWy97EPOBkYFBqF8OV/Dr65HmtvD4b0TKZfcXWoy4lYohMSmbbiao5veY9DGzeQkT8t1CWNORRaJeq0aBzNfdhqe9DP0oa6pIjns8tzyTboeelgA1vL2jjW2MWxxi5++tZJrphiZN28TK6dnopOHeELnHoDRKdAX5s82TFjfqgrGjUut4dXDtXzy3fLfULl8slGfrh2Ovlp4TvVdd51E+nvtnN0cwOb/32SG79cyDtfu4Lvv3aMjUeb+dX75WwrN/Gbu+eQZRCf+ZHI2QH3AoFg+AjhK8zoaJGnKo3LfK/aPfDcHRCBWVVn0+9U82rdTNpsMWgVDm5PP8KEXZthlx92rtLBvS/ApJXn/LNerec7i77D6omreWjXQ9T11PHlD7/MLZNu4cGFDxKvjffDwQNH3txk2mp7qCoOH+ELQJOTQ9r3v0fzD35I229/h76oiKgZM0Jd1gVJysiSha+moQlf3nyvqDgNmijxUeBP+jo7fIMslt3zSRTKCL+4DTEL1t7K8S3vUXFgDx0tTSSmpYe6pDGHJjsWR3Mf9rpu9LOMoS4n4pEkiWtnpHHtjDTae21sPNrM+uJGSuo72VJmYkuZiVitihtmpbFubiaLcw0oFBE6WTelAKrb5JyvCBe+9lW186ONpZxokvPuco3RfP/GaVwzLSXklsbLIUkSy++YwkCPg4oDrbzz1DFu+b+5/OHeuVxdkMJDr5/gYG0HN/xuB4/cPIPb52WE/WMSnIuwOgoEo0Nc7YQZHa3jdKJj7W549g5w9EFcBugSQl3RiOi1Sbx8NA6LTYle7eaOwn6SY7L9s3NdHKz8PuRevItrfup8Xrn5Ff5Y/EeeKX2G1ytfZ0/THh5a8hBXZl3pnzoCwKS5Kex9rYqGUx1Y+xzoosPHFhZ/++30bttGz/sf0PTNB8ld/yqKqPDLxDJkZFJfemzIkx19wfYp4fdYIp39r72Mw2YlNW8KUxYtDXU5EU9SZja5cxdQXXyQQ5teZ9VnvxTqksYcmuw4+va1iJyvAJAUo+VTS3P41NIcKk29vFbcyPrDjTR2DvDSwQZeOthARkIUt85NZ93cTCanxIS65OGRPA2qt0d0zle9pZ/H3j7JW8fkPM9YnYqvXTOF+5bkhJWl8XJIColrPjUNW5+DulILG/9Ywm3fnM9t8zJZmGPggZeOcKCmg2++XMKWU238dN1MEvTBm0QpGB1JSUkA9PX10d/fj14/DpskBIJRIISvMMOb8ZU4noLta3bBc3fKolfeSrj3v6COvIvxrrYWXv7JD+jqbyEmycidP/gJhvTMoNcRpYriwYUPsnrian6464fUdNfw1c1f5aa8m/j2om+HZfdXQqoeQ3o0lqY+ao+ZyS+aEOqSfEiSRNqPfsRAyVHs1dW0/uIXTHj44VCXdR4G72THxqFNduxsHcz3Gk/vNUGg29RGyftvAbD83vvEirqfWLD2NqqLD3Ji6wcsu+vjRMXGhbqkMYVm4mDAfWMPHqcbKYIu9iOJSckxfOPafP5v1VQO1FjYUNzIpmPNNHYO8KctlfxpSyWFmfGsm5vBTbPTMcZEgO00gic79tqc/HnLaf6+sxq7041CgnsXZfPA6qkkRcJzfwGUKgXX3T+T1397hLaabt78/RFue3A+WQY9L9y/hL9uq+Q375ez6Vgzh2o7+NVds1k2WXR5RgJarZa4uDi6u7sxm83YdQb2VbeztjCd+KjwWTAWCMIVcWYTRjgdLnrMgxej48XqWLNTtjc6+mDS1RErerU31vPCw9+mq7WFhNQJ3PPIz0Miep3NnJQ5vHzTy3xmxmdQSArerHqTW1+/lc11m0Na18XImyO3cFcWh19opyoxkfTHHwOg878v0LN5FFltAcL7ehvqZEffREeR7+VXdr/yPC6nk6wZhUycNSfU5YwZsmbMIiV3Ek67jZL33gp1OWMOVZIORbQKnB7sTZEdNxAJKBQSi/OSePz2Qg58fxV/+tg8rilIQaWQONrQxaNvlrL4Zx/y2X8dYOPRJqwOV6hLvji+yY6RI3y53R5eOljPyie28uetldidbpZNTuKtr63gp+tmRazo5UWjU7H2q4UkpOrp7bDx5h9KsPY5UCokvrJyMq9+aSl5xmhauq18/O/7+OmmUmzOMH6NCXwYjfK58mMb9rPq19v4/obj3P3kHkw9Y2xwhkAQAITwFUZ0tQ3g8YAmSoU+bhy0HldvH+z06ofJq+CeyBS92mqqePGR79BraScpM5u7H/058SmpoS4LAJ1KxwMLHuCZG54hLz4P84CZr235Gt/a/i06rB2hLu8cJs2TP8zrSi04bOF3Aha9dCmGz3wGgObvfx9nmE3V8XZ8dbY243I6L7t9l9fqKDq+/EZ7Qz2l22Rhefk9otvLn0iSxIK16wAofncjTnv4TIAdC0iShCZrsOtL2B2Dik6tZE3hBP7x6YXs+941PHLTdGZnxuNye/jwVBtffb6YhT/5gO+8epR9Ve243Z5Ql3wuyfIES7rqwRb+r5391RZu/tNOvvXKUUw9NnKS9PztvgU8+9nFFKSNnU7SqBgNN39tDtEJWjqa+9j0pxIcdvncanZWAhv/33I+tliO4vjbjmpu+eMuylrC//9vvGLps/OXrZVsqbUC8mRHhQSxWhWnWnq4+8k9NHUOhLhKgSC8EcJXGNFx1kTHMX/BVLUNnrtrUPRaDXc/x/9n77zDmjrfN/7JIuy9BBVUcKCCW3FvrdZVZ62jQ+23e/y6d2tb29q9a6d71lVtVbRucStuZQgCsvdKSHLO749glIobCOD78fLi5OSMJyScvOd+n+d+0NhaO6pb5uK50yx771VK8vPwbtSEcW/PwtHN3dphXUWoVyjLhi3jkVaPoFQo+ef8P4xcM5LNCZutHZoFD39HnD1tMRkkEk5kWTucCvF67lm0zZtjysnh4muvI8s15wbEycMTjdYWyWQiNy3lutvKskxuunmA5CI8viqN3cvmI8sSTTp0wa9pc2uHU+do2qU7Th5eFOflcnrXNmuHU+ewCTB3rCu9kG/lSO5ePBy1PNitEWue7M7m53vxRJ8m+LvaUaA3suRAIuPn7KXHJ1v5dONZYjNqSGaevTs4lk32ZZy1bizXITG7mCcWHWbcT5GcSM7HSavm9SEt2PhcTwaE+NTJcbeTuy3Dng5Da68mNS6fjXNOYDJJANjbqPlwVGt+ntIBdwcbzqQWMOzbXfy263zNE1fvYo4n5fHC8ii6zNrCxxvOkKwzuxSFeirZ/mIf/nqqO/6udsRlFjH2x0gSsoqsHLFAUHMRwlcNIjfNfLGq8/5ecdtg0XgwlkDwQBi/oFaKXhdORLHi/TfRFxXh1yyEcW99iL1zzfPPuoRWpeXZ9s+ycMhCglyDyNZl89y253hh+wtk67KtHR4KhYLGbb0BiDtas7KpLqG0scF/9icotFqKdu4kZ8FCa4dkQaFQ4O5fVu548fo+XyUFBkpLjKAAFy8hfFUGqbHRRO/bAwoF3cdPsnY4dRKVWk27IcMBOLhuFbIkWTmiuoVNw7KMrwSR9VETCPJ25MVBzdn5Uh8WT+/CuA71cdSqSc4t4dutMfT7bDsjvtvN3D3xZBdZOQPSq0zor4HljkV6I7M3nqHf59tZfywFpQImdm7I1hd7M71nY7Tqut1118PPkaFPhKHWKEk4kcXWeWeQrxC2BoT4sOHZHvRp5kWpUeK9daeY+vt+0vJ1Voz67kZvNLH6SDKjvt/NsG93seJQEqVGiVb+zkzsae4s7kwJDdztCfR0YNn/wgn0sCc5t4RxP0USky6u4QJBRQjhqwZxKeOrTvt7xW69QvQaVGtFr9hD+1n50TsY9DoCQtsy5rX30NrXjk6crTxbsfTepUxvPR2VQsXG+I2MXD2SjfEbrR0aTdqayx3jj2diMtTMm1ptcDDeL70IQPrs2ejOnbNyRJex+HwlJXIy6ySLzywmv/Tq7I1LHR2d3G1Ra+r2oL+62LVkHgAh3Xvj2TDQusHUYVr3HYSNnT3ZyYmcP3rI2uHUKWzqO4ECTHl6THnCL6amoFQqCG/iwSdjwjj4Rn++ub8tfZp5oVIqiErM5e21J+n0wWamzT3A38dTrOMH5l3m85Veczo7SpLMikNJ9Pl0G99tNft4hTf2YP3TPfhwVOva0TigkqjXxIVBM1qhUCo4uy+VPStjyj3v7WTLbw92ZOaIlmjVSnZGZzL4yx1sOJFqpYjvTlLySvhs01m6ffQvzy49ypELuWhUCka28WPl413568nujOkWAkBubi4GgwEAf1c7lj0aTlMfR9Ly9Yz7aS8nL+ZZ86UIBDUSIXzVIC6XOtYOAeWWidkCiyeAUQdN74Hx80Fd+wYeZ/bsYO1nH2AyGAjq2IWRL72FxrZ2iXc2Khuebvc0C4cuJNgtmBx9Di9sf4Hntz1PZkmm1eLyCXTGwcUGg85E4hnrZ6FdC7eJE3Ho1RO5tJSLL7yIpK8ZN4lufv4ArD2wlAnrJvDhvg8ZtXoUO5J2lNvOYmxf17NLq4kLJ46RcOwISpWaruMesHY4dRqtvT2h/QcD5qwvQeWh1KrQlI0/9KLcsUZiq1ExLMyP3x/qxN5X+/HWvSG09nfBKMlsPp3O4wsP0/GDzby68hj7z2dXXzl+Dcv4Ohifzcjvd/PC8ijSC/QEeNjz0+T2LJremRb16o6P160Q2NqTvpPN79PRzYkc3pRQ7nmFQsHk8EDWP92dln7O5BQb+N+CQ7y0Iooi/Y19QwW3hyzL7I3L4vGFh+j+8Va++TeGzMJSfJy1/N+Apux5pR9fTmhLu4ZuKBQKHBwcsLMzZ+pnZV22BfF2tmXJjHBa+TuTXVTK/XP2cvhCzfLyFQisjRC+agiyLJOTdtnjq84RsxkW328WvZoNgXFza6XodfzfTaz/ejaSyUSL7r2599lXUGtqbwvhlh4tWTp0KY+FPYZaoSYiIYJRa0bxd9zfVvGvUigVlu6OcTWwu+MlFAoFfh98gMrdHf25c2R8/oVV4ykyFLHg1AJ+TDJnHZky81Er1HjbeZNeks4TW57g9V2vk6c3zwBajO1FR8c7RpZldi2eC0Bo/0G4ePtaOaK6T9vBw1CqVCSePEZaXMyNdxDcNDYBotyxtuDlpOXh7o3466nuRDzXk8d6N8HPxZYCnZHF+xMZ91MkPWdv5fNNZzmfWcW+P5aML+sKX0k5xTy1+AhjfozkWFIejlo1r97TnE3P9WRQS9866eN1KzQPr0fX+4IAiFwZy5nIq/1Ag7ydWPV4N/7XqwkKBSw7mMSQr3cKEaWSKS41snBfAoO/3MmEOXv5+3gqJkmmcyN3vn+gHbte7stT/YLxcip/r6RQKPD09ATMBvdX4u5gw6LpXWgf4Ea+zsjkX/YRGVszPXMFAmsghK8aQlGuHqPehFKpwLmuee5Eb4bFE8Gkh2ZDYWztFL0O/72GTT99DbJMaP/B3PPE86jUamuHdcdoVBoeb/M4i+9dTHP35uTqc3l558s8u/VZq2R/NS4rdzwflYlkqpnljgBqT0/qffgBANlz51K4a3e1x5BcmMzsA7Ppv7w/Hx/4mFhVGgBeJfb8c98/rL9vPVNDpqJAwdrYtYxcM5KtF7YKY/tKJPbgPlJizqLWauly3wRrh3NX4OzpRbPwHoDI+qpsbBoKg/vaSLCPEy8Pbs6ul/uyaHpnxravj4ONisTsEr7+N4Y+n25j5He7mR8ZT05V+IFdyvjKTwJd9X92ivRGPtt0ln6fbeevqIsoFHB/pwZsfaE3j/ZqUud9vG6FtgMb0maAuZvjv/PPEH/s6nGejVrJK/c0Z/H0Lvi52JKQVczYHyP5cvM5jDV4XFYbOJ9ZxHt/naLzh1t4fdUJzqYVYKdRMbFzQzY824Olj4YzpHU9NKpr36J7eZnHyZmZV793zrYa5j/SiW5BHhSVmnjw9/1sPZteZa9HIKhNCOGrhnCpzNHZyw7VdS52tY7oCFhyv1n0an4vjP0D1DbWjuqWkGWZvSuXsnXuzwC0v3cU/ac9gUJZh94noLl7cxYNXcQTbZ5ArVTzb+K/jFg9gr9i/6rW7C+/YFdsHTToigxcjKnZHgVOvXvjNnEiABdffQVjTvXMiB5NP8rz255nyMohzDs1j0JDIYHOgTzV50Xz57LUhEOpGlu1LS90fIF598yjkUsjMksyeXrr05yJiwNEqeOdIkkmi7dXu3uG4+DqZuWI7h7a3zsKgLORO8nPFIP6ykJ7yeA+uRDZKG5waxtKpYKuTTyZPTaMg28M4KsJbehd5gd2NDGXN9ecpNOHm5k+7yD/HE9Bb6wkPzA7V3CqZ16uxs6OkiTz56Ek+n62jW/+jUFvlOjS2J11T3Vn1n2hV2XLCMx0HdWEZl18kSWZjT+fICW24rFWl8Ye/PNsT4aH+WGSZL7cHM3Yn0TnwFtFkmS2nkln6m/76fPpNn7bfZ4CnZEAD3veGNqCva/248NRrWnue3NluNfK+LqEvY2aX6d2pF9zb/RGiRnzDrLhxPW7fQsEdwN16869FnPZ36sO3Yie2wRLJoKpFFoMq7Wi187Fc9m9dD4AXcc+QK9JD9fZdHmNUsP/wv7H0nuX0sK9Bfml+by26zWe+vcp0our5+ZSqVLSKMz8pR53uObf0Hq/9CI2TZpgysgk5Y03q0wkNEgG/jn/Dw+sf4DJ/0wmIiECSZboUq8L3/X7jjUj1zC+5f24+phvPrKTL3d2bOPdhuXDlvNwq4dRokKZb/akO2k4UiWx3i2c2bWdrKQLaB0c6DhstLXDuavwadSEhq3CkCWJw3+vtXY4dQaVhy1KBzWYZEovFlo7HMEdYGejYkQbf/4o8wN7894QWvo5YzDJRJxK47GFh+n0wRZeW3Wcg/GV4Adm8fmqHoP7Qwk5jPphD/+3PIq0fD0N3O34cVI7Fk/vQku/mtthuyagUCroM7k5Aa09MBok1n8XRdY1/t5d7DR8fX9bvprQBietmiMXchny1U6WHUy0iiVGbSKv2MAvO+Po/ek2HvrjANvPZaBQQJ9mXvz+UEe2/l9vpvVojIv9rVmmXBK+Ksr4uoStRsWPk9szNLQeBpPME4uOsOrI9Tt+CwR1HSF81RBy65q/19kNsPSBMtFrOIz5HVS1ywtLliS2/PYjB9asAKD3lGmEj7m/zopeV9LUrSkLhy7k6bZPo1Fq2J60nZFrRrImZk21DHQulTvGHc0o13a7JqK0tcX/09mg0VC4ZQu5y5dX6vHz9Hn8duI3hqwcwks7XuJY5jE0Sg0jg0ayYtgKfh74Mz3r90SpMF/O3f3LOjsmJ5Y7jlal5bn2z/FL1z9QyxpMCiOvHH2eF7e/SLau5jYSqKmYjAb2LF8IQMfhY7B1dLRyRHcfHcqyvo5t2YiuSIg0lYFCocCmofD5qmt4OWl5pHsj1j/dg03P9eR/vZpQz8WWvBIDi/ZdYMyPkfSavY0vIs4Rf7t+YNXk83Uxt4SnFx9h9A97iErMxVGr5uXBzYl4rheDW9W7K8ZolYFKpWTQ9Fb4NnZGX2zkr6+jKMjWXXP7EW38+efZHnRq5E5RqYmXVhzj8YWHq6Z0tpZz6mI+r648RudZm3l//WkuZBfjbKtmWvdGbP2/3vz+UCf6NPNGqby9z+qlUsesrCwk6dqZuRqVkq8ntGVM+/qYJJnnl0WxcF/CNbcXCOo6QviqIeSkmgcadaL06Ow/sHSSWfQKGQljfqt1opdkMrHhhy+J2rQeFAoGzHiS9kNHWjusakWj1DA9dDrL7l1GK49WFJQW8MbuN3h8y+OkFlVti+sGzd3R2KooyislLb7me83YtmiB93PPAZA26yP0cefv+JgX8i/w4b4PGbBiAF8c+oLUolTcbd15LOwxNo3ZxMxuM2nm3uyq/dz9GwCQfbHimT1fg9nbQ+liRKlUsiF+A6PWjGJj/MY7jvlu4tiWjeSlp+Hg6ka7e4ZZO5y7ksA27fGo3xCDroTjW8Tnt7KwCF/C56tO0tTHiVfuMfuBLZzWmdHtzH5gF7KL+WpLNL0/3cZ93+9m/t4EcotvQdSo4oyv4lIjn0eco+9n21hb5uM1vkMD/n2hF4/1boKtRvh43SoaGxVDnwjDrZ4DRbl61n51lJLCa7/n9d3sWTy9Cy8NboZaqeCfE6kM/moHO6NrbjOi6sJgklh37CLjfoxkyNc7Wbw/EZ1BormvE7Pua83e1/rxxr0hBHo63PG5XFxcUKvVmEwmcm5gsaFSKvhkdChTwgOQZXh91Ql+2Rl3xzEIBLURIXzVEC5nfN35BdGqnPkblk4GyQAtR8HoX2qd6GU0GFj35cec2vEvCqWSIU+9QGi/wdYOy2oEuQUxf8h8nmv/HDZKG3Yl72LUmlGsjF5ZZdlfKo2SwNbmVO7YGtzd8UrcH5yKfXgX5JISLr74InLprc+CyrLMgdQDPPXvU9y76l4Wn1lMibGEINcg3uv6HpvGbOLxNo/jaed57Tj8Ks74ukRuWUfHRg3rs3DoQoJcg8jWZfPC9hd4ftvzZJWIDkA3wqDTsffPJQB0uW8CGq2tlSO6O1EoFJasr8P/rMVkNFg5orqBMLi/O1ApFXQL8uSzcWEceKM/X01oQ6+mXigVcPhCLm+uPkHHDzbz6PyDbDiRemM/sCrK+JIkmVVHkuj76Xa+3hKNziDRqZE7fz3ZnY/HhOLtJK6/d4Ktg4bhT4fh6KYlN62Ydd9EUaozXnN7lVLB472DWP1ENxp7OZCWr2fyr/t5769T6AyV5BlXi0gv0PHV5mi6ffQvTy46wv74bFRKBUND67Hs0XD+eaYH93dqiL1N5TXDUiqVeHh4ANcvd7y8vYJ3h7fk0V6NAXh//Wm+3hItSlUFdx1C+KoBlOqMFObogVqe8XV6HSybYha9Wo2G+2qf6GXQ61jz6ftE79+DSq1m+POv0aJbL2uHZXXUSjUPt3qY5cOWE+oVSqGhkLf3vM3/Nv+PlMKqMcxs3Kas3PFIeq34clYolfh99BEqFxd0J0+S8c23N72vwWRgbexaxq0bx8MbH2Zb4jZkZHr492DOgDmsHL6SUcGj0KpubNTrcSnjK7nijK9Lwperjz0tPVqy7N5lPBr6KGqFmoiECEauGck/5/+pFb9za3H4n7UU5+Xi4u1D634DrR3OXU3z7r1xcHWjMDuLs5G7rB1OncCmgRMowZRXijFPb+1wBNWAvY2aEW38mfuw2Q/sjaEtCKln9gPbeDKN/y04RKcPtvD6quMcSsip+PvBqywDueAilORWSlyHL+Rw3w97eG5pFKn5Ouq72fHDA+1YOqMLrfyFj1dl4ehmy7Cn26B1UJOeUMCGOScw3aC5RSt/F9Y/1YPJXQIA+G33eUZ+t5szqXVfMJdlmUMJ2Ty9+AjdPvqXLzafI71Aj6ejlqf7BbP75b58N7EdnRq5V1np7fU6O1aEQqHglcHN+b8BTQH4POIcH204I8Z6grsKIXzVAC5le9k5abB1qF1CkYXTf8HyqWWi1xgYNQdUlTe7UR3oi4tZOesd4o8eQq3VMvLltwnq2MXaYdUoGrs2Zt7gebzQ4QW0Ki17Lu5h1NpRLD+3vNK/PBu2dEelUZKfqSMruXb492h8fPB97z0Asn75haL9+6+7fY4uh5+ifmLgnwN5fdfrnMk+g63KlnFNx7Fm5Bq+7/894X7htzRwuuTxVZiTjb74aq+W3LQSAFy97cwxqzQ82fZJFg1dRDO3ZuTqc3lpx0s8t+05MktubkB1N6ErLOTAX38C0HXcJFTqWnrNriOoNRraDjaXmh78q+qyUO8mlDYqNGXZ56UJdf8mVlAeb2dbpvVozN/P9GDDsz14tGdjfJy15JUYWLjvAqN/2EOfT7fx5eZz5bv72bqAs795+Q47O17MLeGZJUe47/s9HE3MxcFGxUuDm7H5+V7c01r4eFUF7vUcuPfJMNQ2ShJPZbNl7ukbeqza2aiYObIVvz3YAU9HG86kFjD8m938sjMOqYb7s94OOoOJZQcSufebXYz+IZK1URcxmGTaB7jx1YQ27HmlL88PaIqvS9VnId6os2NFKBQKnuoXzBtDzdmZP22P4+21J+vkeyUQVIQQvmoAlzs61tIyx1NrYfmDIBmh9VgY9VOtE71KCvJZ8f7rJJ0+gY2dPWNem0lgaFtrh1UjUSlVTG05lRXDVtDWuy1FhiLei3yP6RHTSS5MrrTz2NiqaRjiDtSeckcA50EDcRkzGmSZiy+/ginv6jbhsbmxvLPnHQasGMC3R78lsyQTbztvnmn3DBFjIngz/E0auzS+rfNr7R1wcDP/3iry+boy4+tKWni0YPHQxTze5nHUCjVbLmxh5JqRrItbJ8SEKziwdgX6oiI8GwTQvFtPa4cjAEIH3INaqyUj4TwXTkRZO5w6wWWfL2FwfzfT3NeZV4e0YM8r/VjwSGfua+uPvY2K+KxivtwcTa/Z2xjzwx4W7ksgr9hwxz5fJaUmvtxs9vFac9Ts4zWuQ322vtCbx3sHCR+vKsa3kQuDH22NUqkg+kAau1bcXDlc3+Y+bHi2J/2ae1Nqknh//Wmm/Laf1Lxrm+XXJhKzi5n192m6zNrCS38e4+TFfLRqJeM61GfdU93587GujGjjj426+m6rbzXj60qm9WjMh6Nao1DAvMgEXvrzGEbT9TP8BIK6gBC+agCXMr5ca2NHx5OrL4teoeNrpehVlJvDsndfJTU2GlsnZ8a99SH+zUOsHVaNJ9AlkN8H/c5LHV/CVmXLvpR9jFoziqVnliLJlfMF2uRSd8daJHwB+L76KpqAhhhTUkh55x1kWUaWZXYn7+Z/Ef9j5JqR/Bn9J3qTnhCPEGb1mMWG0RuY1noarraud3z+yz5f5YUvk1GiILMs46uCsmqNSsNjYY+x5N4ltHBvQZ4+j1d3vsrT/z5NenH6HcdV2ynMyebwP38B0G3CFJRKcRNWE7BzdKJ1H3PJ6cF1q6wcTd3AJkAY3Asuo1Iq6B7syefj23Dwjf58MT6MHsGeKBVwMCGH11eZ/cAiMs2TLqa0WxO+ZFlmzdFk+n62jS83l/l4Bbqz9onufDImDG9n4eNVXQS09KDvVHNG0LF/kzi88ea6AHo6avllagc+GNUKW42SXTGZDP5qB/8crxo7jKpGkmR2nMtg2twD9Jy9lZ92xJFbbKC+mx2v3tOcva/245MxYVYrub0y4+t2Jicndm7I5+PCUCkVrDiUxDNLjlJ6g/JWgaC2U7sUijrKpY6ObrXN3+vkKljxCMgmCJ0AI7+HWnYjmJ+RzvL3Xyc3NQUHN3fGvvE+HvUbWjusWoNKqWJyyGR61e/Fm7vf5HD6Yd7f9z4bEzbybtd3aeDU4I6OH9DaE6VSQfbFInJSi2pNVqTSwQH/2bOJv38iBf9sYHMze77zPUlsXiwAChT0bdiXySGTaefdrtLLNtz9G5B48thVBvf5mSXIMmi0Kuydba65fzP3ZiwcupDfT/zOD1E/sC1pG4fWHOLlji8zvMnwu7bMZO/KpRhL9dRr2pwm7TtZO5xKpeTkSXLmzUMfHYPX88/j2L2btUO6JdoNGcHRjeuJP3qIzAvxeDYMtHZItRrtJYP75EJko4SiGjMZBDUbexs1o9rWZ1Tb+qTl61hzNJmVh5M5k1rApkw3BmjgwP7drC89wah2/rRt4Hrd74wjF3J4b90pjlzIBcDf1Y7XhrRgSGvfu/a7xto06+yLrtDAruXR7F0dh52TDSHd/G64n0Kh4IHOAXRp7MGzS45yPDmPxxYeZkz7+rwzvCWO2pp/21mgM7DiUBLzIxOIy7xcytsj2JMp4YH0be6NSmn9z6WHhwcKhQK9Xk9hYSFOTk63fIxRbetjp1Hx1OIjrD+egs5g4rsH2onMSkGdRYxkagC1stTxxMrLolfY/bVS9MpJSWbJ2y+Tm5qCs5cPE979RIhet0lD54b8Pvh3Xu30KnZqOw6kHmD02tEsPL3wjrK/bB00+Dd3AyDuaO3K+ioK9iN2dAcA3L9fSUF8DPZqeya1mMT6+9bzZZ8vae/TvkoG9paMr/+UOuamm7O9XLztbnhejVLDjNAZLLt3GS09WlJQWsAbu9/giS1PkFaUVukx13Ry01I5vmUDAD0mTKkTN2SyyUR+RATxkyYRP3oMeWvWojt1isRp00j98EMkXe0pU3H18SW4UzgAB9evtm4wdQCVuy1KBw2YZEpriceioPrxcbZlRs8mbHi2J/8804OWYeYJgUZyIvP3JnDf93vo+5m5G2NidnG5fVPzdDy39Cijvt/DkQu52NuoeHFQM7b8Xy+GhgofL2sT1q8B7QaZjeu3LThzS2OwJl6O/PlYV57o0wSFAlYcSmLIVzs5lJBdVeHeMdFpBby5+gRdPtzCu3+dIi6zCEetmge7BrL5+V7Mf6QzA0J8aoToBaBWq3FzM4+Pb6fc8RKDW9VjzpQOaNVKtpxJ55G5ByjSX7urp0BQmxHCl5WRJNniueNWW0odj6+AP6eZRa82D8CI72qd6JVxIZ4lb79MQVYGbn71mfDux7j6+Fo7rFqNUqFkYouJ/Dn8Tzr6dqTEWMJH+z/i4Y0PcyH/wm0ft7aVO57NPsvru15n4IqBvNboIKfrg30pzNrqS8SoDbzc6eU7zoS7EZc6O2b9p9TRUlZ9C9mlwW7BLBiygGfaPYNGqWFn8k5GrRnFquhVd5X3157lC5FMJgJC29KgZai1w7kjTIWFZM+dS+ygwSQ/9TQlBw+BWo3zsGG4jhsHQM68+cSPHYvuzBkrR3vzdBh2HwCnd26jMKfm3mDVBhQKBTaXsr5EuaPgJmhRz5kHhw8CwEeRy8RQZ+w0Ks5nFvF5xDl6fLKVsT/uYdG+C3y1OZo+n25j1RGzL+iY9vXZ9kJvnugjfLxqEl1GNqZF13rIMmz69SQXo3Nuel8btZIXBzVn6Yxw/F3tuJBdzNgfI/k84hyGGuInZTRJbDiRysSf9zLgix3M35tAUamJIG9HZo5oyd7X+vHO8JYEeTtaO9QKuVTuGBsbe0fjsT7NvPnjoU442KjYHZPFlN/2k68zVFaYAkGNQQhfVqYgqwTJKKPSKHF0rwUeBsdXwMrpZaLXJBj+ba0TvVJjzrHs3VcpzsvFK6ARE975CCcPT2uHVWdo4NSAXwb+whud38BObcehtEOMXjua+afmY5JMt3y8RmFeoID0hAIKsmtmBookS2xL3MYjGx9hzF9jWBu7FoNkINSnDc4fvIXS0RGns8nof1tULfFc6uyYl5aCyXh55s5ibO99ayK7WqlmWutpLB+2nFDPUAoMBby15y0e2/wYqUWplRd4DSXjQjynd20DoPuEKdYN5g4oTUoibdZHxPTqTdqsjzAkJaFyccFjxgyCtmzGf/Yn1HvvXRr89CMqT0/00THEjx1H1m+/I0s140bletQLboZfsxAkk5EjG/6ydji1nss+X8LgXnCT2DqDs/n758PuGg6+0Z9Px7amQ1ApGtcDHNP9wvtHH2ZO/IMo/L+iXvBSxgw4SMsWhzmUtZXDaYdJLkzGYBI33TUBhUJB7weaERjqickgsf7742Qm3VoGaKdG7vzzbA9GtfVHkuHrLdGM/TGS+Myru05XF1mFer7bGkPPT7byvwWH2BObhVIBg1r6sGhaZyKe68nk8MAaX5rZqFEjAHbt2sWSJUsoLLz97NzwJh7Mn9YZZ1s1hxJymPjzXrKLSisrVIGgRqCQa8GUfX5+Pi4uLuTl5eHs7GztcCqV+OOZrP/uGB7+jkx4s4Z7xhxbDqtmgCxB28kw7GtQ1i7tNOnUCVZ98i6lJSXUC27Gfa+8i61jzZzJqQskFybz9p632ZeyD4A2Xm14r9t7NHJpdEvHWfnpIVJi8ug+NpiwflWbLXUrFBuKWRO7hoWnF5KQbzaAVSlUDAgYwOSQyYR6mTOD8v5ax8UXXwSlkoCFC7BvW7UdQ2VZ5psHx2HQlfDgZz/gUd/8O1v9+WGSz+XS/6EQmnW+vQxHk2Ri/qn5fHPkG0qlUhw0DrzQ4QVGB4+us6Upq2fPJPbgPoI7d2X4869ZO5xbQpZlSg4fJvuPuRRs2QJlApZN48a4T5mCy4jhKO3srtrPmJVFyptvUfjvvwDYd+6M30ez0NSrV63x3yrRByJZ++kH2Do4Mv3737Gxvfq1CW4OfVwuGXOOo3K2od5rna0djqCWkDd/JMcvRnKs9XCiNEqOZxynwHBr4qkCBR52HvjY+5j/O/jg6+Breezr4Iu3vTc2qmt7VQoqD2OpibVfHyUlJg97ZxtGv9QeZ89bv7aujbrIG6uOk68zYm+j4q17QxjfsUG1jR2iEnOZGxnPuqgUSsuyztwdbJjQsQEPdAnA37V2fV+YTCZ2797Ntm3bkCQJOzs7hg4dSqtWrW77mCcv5jHl1/1kFZXS1MeRBY90Fs0lBDWaW9GJhPBlZY5EXGDPnzEEtfdm0PTbv1BVOVFLYfX/zKJXuylw71e1TvQ6f/QQaz/7EGOpnoatQhnx4pvipqgakGWZFdEr+OzgZxQZitCqtDzV9ikmtZiE6iazBaO2JLJreTR+wa6M+r92VRzxjUktSmXRmUWsOLeCglLzgN5J48SYpmO4v/n91HO8WhxIfvEl8v/6C039+jRavQpVFQuuC159jrS4aFr1GUibQUPxDmzM3Ff3UJSrZ/TL7fFtdGediOLy4nhr91tEZUQB0KVeF97t+i5+jjc2wK1NXDx3msVvvohCoWTqp99ZRMSajlxaSv7GjWTPnYfuxAnLeodu3XB/cCoO3bqhuME1XJZlcpcvJ23WR8glJSidnan37js433NPVYd/20iSiT+ef4yclIv0efBR2t0zzNoh1VqkUhMX39kDEvi+0gm1q9baIQlqGCbJRGxeLMcyjhGVEUVURhTn885ftZ2d2o6WHi0J9QolzCsMb3tv0ovTSS1KJa04jbTiNPNykXnZIN1cxpe7rbtFCLskkF167Gvvi7eDN1pVzf/cyrLMub27Obb5b4I7dyes/+AbXp+rG12RgVWfHSb7YhEuXnbc92L76zbJuRYXc0t4ftlR9saZy9EHhvjw0ehQ3B2qRsTUG02sP5bC3MgEohJzLetD67swNTyQoaH1amV5rSxJHN8awdk926nfoStRCUmkppoz8Fu2bMmQIUNwcLg97+iY9AIe+GUfafl6Aj3sWTi9S60TBQV3D0L4qkVsnX+aU7tT6DA0kM7DGls7nIqJWgKr/gfI0P5BGPpFrRO9zu3bzfqvZiOZjDRu15Fhz72K2kbMFFYnKYUpvBP5Dnsu7gEg1CuUmV1n0tj1xp/7gmwd817bAwp46OPutzXYqgyOZxxn/qn5bErYhEk2l202dGrIAy0eYGTQSOw11y4hNBUUcH7ESAwXL+IyciR+H82q0li3/PYjRzeuszx28vSiuKABKk0THvlyPPZOdz6DZ5JMLDy9kK+PfI3epMdebc/z7Z9nbLOxKBW16xpREbIss/y910g8dZyWvfsz+LFnrR3SDTHm5JC7dBk5ixZhTE8HQGFjg8uI4bhPmYI2OPiWj6k/f56LL72M7vhxAFxGDMfnjTdQ3UYXqerg6Ka/2fLr97h4+/Dwl3NQqmrfTU1NIe2bIxiSC3Gf2Bz7UC9rhyOwMrm6XI5lXha5TmSeoMhwdclaQ4OBMI0boZ2fIcwrjGC3YNTKmysbk2WZHH1OOSHMIowVp1nW6U36mzqem9atnDB2ZebYJaHMVm29jJb8zHS2/PoDcYcPWNb5NW3BgBlP4tkgwGpxVURRrp4/PzlEQbYOr4ZOjHy+LTa2t14OKEkyP++M49NNZzGYZLyctHw6NoxeTSvvGnMxt4SF+xJYsj+RrLKSPRuVkntD6zGlayBtGrhW2rmqm6zkRDb//B1Jpy9PajUMbYdjWEf2HzqMLMs4ODgwbNgwmjdvflvnuJBVzMRf9pKUU4K/qx0LpnWmkWctasImuGsQwlct4lIJ14BHQmjasQaaqx9dBKsfxyx6PQRDP691otfJ7VvY+MNXyLJEs/Ae3PPk/6FS1+y6/bqKLMusilnF7AOzKTQUYqO04fE2jzO15dQbDoqXzzpAekIBvR9oRsse/tUUMRglI/9e+Jf5p+ZzNOOoZX1H345MbjGZnvV73nTmWvGhQyRMngKShP/nn+E8ZEgVRQ1Gg4FzkTuJ3h9JfNRhjKWXbxLsnJxp0qEzQR3DCWjd5o5F4IT8BN7a/RaH0w8D0Mm3E+92fZf6TvXv6LjWJv7YEf784E1UajUPfzUHZ09va4d0TfSxsWTPm0/emjXIZd0YVV6euE+ciOv48ajd3e/o+LLBQOYPP5D5408gSWj8/PCb/Qn27dtXRviVikGvY84TD6MryOfeZ1+hWXh3a4dUa8lZE0NRZAqO3fxwHdbE2uEIqhGjZCQmN4ao9CiL2HWppP9K7NX2tPZsbcnmCjXIuM0bAY4+8MK5KolNlmVy9bkWIezKzLG0ojRSi82imc50c76grlrXy8KYvW+5zLFL6+3UlZvxIkkmjm5Yx64l8zHodShValp078W5fXsw6EpQqtR0GjGazqPG16iJ2ty0Yv6cfQhdoYH6zd2494kwVJrbuy84eTGPZ5YcJSbd7E31YNdAXrmn+W1nYMmyTGRcFvP2JBBxOg2TZL7Frediy6QuAYzv2ABPx5qfAXgtjAYDB9asYN+qpZiMRtRaLc26dOfMnh2YDAbUNlpaDh3F2aw8MjLMDaFCQ0O55557sKvA0uBGXMwtYdIv+4jLLMLLScvCaZ1p6lMzJ7wEdy9C+KpF/PrCTnSFBsa91hGvhjXsYnJkIax5ApChwyMw5NNaJ3od3bieLb/9AECrPgMYMONJlLXMjL8uklqUyruR77IreRcArTxaMbPbTILcgq65z6EN8exdHUfDEHeGPd2mymMsKC1gZfRKFp1exMWii4DZ5H1IoyFMajGJFh4tbuu46V99RdYPP6J0dqbxmtXV4plk0OuIXLmVQ39vBdN5JFOJ5TmNrR2N2rQnqFM4jdt2QGt/ezN6kiyx+Mxivjr8FSXGEuzUdjzb7lkmNJ9QK7O/ZFlm4WvPkxYXTbt7htPnwRnWDukqZFmmaPcesufOpWjnTst6bUgLPKZOxemee1BW8g1T8eEjXHzpJQxJSaBU4jF9Ol5PPI6iBt2YAexetpC9fy7GN6gpE9//rM76z1U1xUfSyV56FpsGTng/0cba4QiqkKySLEvJ4rHMY5zIPEGJseSq7QKdA80CV5nQFeQaVH7yR18Is8omp146D/Z3JrrfLrIsk1+abxHF/vvzUuZYRa+xIpxtnCssqbxSMLte1veVpMfHsemnb0iLiwbAv3kIA6Y/iUf9huRnZvDv7z8Se9DsjepWz4/+056kYaua0004PSGf1Z8fwaA3EdTemwGPtESpvL1rrM5g4qN/zvDHnngAmvo48uX4toT43fz9XpHeyKojycyLjOdc2mWD9/DGHkztGkD/Fj6oVbVvHHIlSadPEDHnW7Ivmrt1N2rTnn6PPI6Ltw/ZF5PZ/PO3JJ4yZ2V7BjbGpUN3ok6dRpZlnJycGD58OMG3kfGdUaBn8q/7OJNagJu9hvmPdKaV/51ZZQgElYkQvmoJJYWl/PaC+cZ/xle90GhrkCBzeD6sfQqQoeM0s+hVy24c9q9Zwc5FfwDQ9p5h9JkyvcZ5JtzNyLLMmtg1fLL/EwoMBWiUGh4Le4yHWj1UYfZXbloxC9/ei1Kp4OFPu6O111RJXIkFiSw6vYhVMassJRyuWlfGNRvHhGYT8LK/s1R82WAg/oFJ6I4dw75jRxr+8TuKaijFOvj3efatPU+zzl4EdzARcyCSmAN7KczOsmyjVKlp2DqM4I7hNOnQGQdXt1s+T2J+Im/teYuDaQcBaO/TnpldZ9LAuXZ4Y13i3L7d/PX5LDRaW6Z98wv2Lq7WDsmCpNORt3Yt2fPmURoTa16pUODYry/uU6Zg37FjlQo9psJC0j74kLxVqwCwbdkSv9mz0Ta+taYVVUlxXi5znngIk8HA+Hc/pn7zltYOqVZizCohdfZBUCnwf6critvM7BDULAySgXPZ5ywli8cyjpFUmHTVdo4aR1p7tibMO4xQz1BCvUJx0d7ETe8XrSHvAjz0DwR0rYJXUDlcEseuFMKuFMZSi1NJLUq9aXHMycbpqswxX3tfi0jmrnYlavVqDq1fjSxJaO0d6PnAQ7TuO7Dc+FSWZWL2R7Ll9x8pyjF7YbXs3Z9ekx7Gzqlm3Aclns5m3bdRSCaZ1r386TGh6R1972w9m86Ly4+RWajHRqXkhUFNmda98XUFtbiMQubvTWDFwSQK9OYO1vY2Ku5r58+U8MA6kZ2kKypk58I/OLZlAwD2Lq70eXAGzcJ7lPt9y7LMyW2b2T7/V3RFhSgUSpr0GUSC3kR2tvkz1LZtWwYNGoSt7a2V9uYWlzL1t/1EJeXhpFXzx8MdaR9gHUFbIPgvQviqJaTE5LLy08M4umuZ+mE3a4dzmcPzYO3TgAydZsA9n9Qq0UuWZXYvXcC+VUsB6DxqPN3GTxIz/jWUtKI0Zu6dyfak7QC0cG/BzG4zaebe7KptF7+3j+yLRfR/sAXNulReppQsyxxOP8z8U/PZmrgVSTZ3+2ns0phJIZMY1nhYpXqAlCYkEDfqPuTiYrz+73k8p0+vtGNfi82/n+LsvlQ6j2hMh3sCAbM5ampcNDH7I4k+sJeci1fc+CgU+DVtQXDHLgR16oqrz82XYkuyxLKzy/j80OeUGEuwVdnyTLtnmNhiYq3I/pJMJua+8ATZF5PoMnoC3cZNsnZIABjS08lZvJjcJUsx5eQAoLS3x2X0aNwnT8KmYcNqjSd/w0ZS3n4bKS8Pha0tPq+8jOv48TXmWrtpzjcc37KRJh26MPLFN6wdTq1ElmVSPtiHVGjA67EwtAF1Zwx2N5FRnGERuKIyojiZdfIqjywFCpq4NrlcsugZSmPXxrd3zV44FqI3me0xOj5SSa/COsiyTKGhsFwJZUWG/IWGwusexy/DlvAT7jiVmCftChrZQb9gvL3qW4QxL3svNMrLk3qG4hJOrFrL+e3mSXKtkyOh40ZTv1P7GnGdvRhVyNHFGSBD8ABXgvvf+mTZleQWl/LZpnPsjjVPyLVt4MrLg5vj7azFw84DZxtnTJLMtrPpzI1MYMe5DMu+jTwdmBIewOj29XG2rZqJ0erkUsODrX/8RFGu+fu+dd+B9HjgIewcry3oFeflsnXuz5zZbR5TO3h649a5F6fjzE0nXFxcGDFiBI0b35qvdIHOwCN/HGR/fDZ2GhW/TO1AtyDP23x1AkHlIYSvWsKp3RfZOv8MDULcGV4NpVs3xaE/4K9nzMud/weDP6pdopcksXXezxz55y8Aekx8kE4jxlg5KsGNkGWZdXHr+Gj/R+SX5qNWqnk09FEeaf1IuUHgvrVxHPw7nkZhngx57M7T/g2SgU3xm5h/aj4ns05a1nfz68akkEl08+tWZYPL3D9XkvL666BWE7hkCXatqjYjZcXHB0k7n8+g6a0Ial+xV1VWciIx+yOJORBJamx0uec8GwYS1DGc4E7heAU0uqnfS1JBEu/seYd9qeaSjbbebXmv63sEugTe8eupSk5sjWDjj19h6+jEtG9+ue3yz8pCd+oU2XPnkvf3P2AwdzvT+PnhNnkyrmNGW9Vk3pCWRsqrr1K0JxIAx969qffB+6g9PKwW0yWykhP54/nHQKHgoc9/xN2v+rwB6xKZ806hO5WFy5BGOPWs3b59dwMGk4HT2afLdVpMKUq5ajtnG2dCvUItQldrz9Y42VTStWTTm7Dna/Pk6ZDZlXPMGk5haWGFmWMZWck47krFO958u1Voa2Rvy2ySfG4uiwzAO1tL+Al33ArNJeXJniVEtsqm0N5YJa/lVmiZ0oMe8eZx9o5Gyzjlu7tKzqNSqPC3bU1GWnMyUoORTQ4oFNC3mTdTugbSI8jztsstaxr/bXjg5lefAdOfoEFI65s+RvzRQ0T88j35GWkA1OvYlTSVHXl5eQB06NCBAQMGoNXevOdZSamJGfMPsjM6Exu1kh8eaEe/Fj638MoEgspHCF+1hN1/xnA04gKhferTY3xTa4cDB3+Hdc+alzs/BoNn1SrRS5JMRMz5lhNbIwDo9/BjtBk01MpRCW6FjOIMZu6dydbErQA0d2/OzG4zae5u7kqTkVjAsg8OoNIoeeTTHrddHpynz2P5ueUsPrOY9GJz5zsbpQ3DmgxjUotJ1/UaqyxkWSb5mWcp2LQJm8BAGq38E6X9zfmD3A6//N8O9EVGxr/RCc/6jjfcPj8zg9iDe4k5EEniqRPIkmR5zsXbh6COXQjqGI5fsxbX9c2TZZnl55bz2cHPKDYWo1VpeartU0xqMemmmwJUJ0aDgd+enUFBZgY9Jz1Mx2H3WSUO2WSicOtWsv+YS/HBg5b1du3a4T51Kk79+qKoIU06ZEkie948Mj77HNlgQOXhQb33Z+LUp4+1Q2PVx+8Sd/gAYQPuof+0J6wdTq2kYHsief/EY9fKA49JIdYOR/AfUotSy2Vznc46TalUWm4bpUJJkGvQ5Wwur1ACnQOrLgP36CJY/RgE9oAH1914+zqILMuc3L7FXHpWWIBCoaTVoMEEDulDpimnwo6VmcWZlo7R/0UhQdNoW5qftUUlKTCqZE43LyGmiR7ZyonUoef70epCb2QkdoUsJdHr1B0fU5KhuNRYZlAvo1Bd0ahAVuJr04oxzYcwNuQe3G3rRtldRQ0POo0cS+eRY2+rwYFBp2PPikWW0lobB0dcOvciLsUshrm5uTFixAgCAwNv+ph6o4knFx0h4lQaaqWCrya0ZWho1XvVCgTXQghftYT130URfzyLXvc3pVUvK8+iHvwN1j1nXu7yOAz6sFaJXiajkX++/YyzkTtRKJQMeuwZWvbqZ+2wBLeBLMv8c/4fZu2fRa4+F7VCzbTQacxoPQO1Us2CNyPJz9RdN3PpWpzPO8/C0wtZG7vW4tnhYevBhOYTGNdsXLUPnky5ucSNGIkxLQ3X8eOp9+47VXIeXaGBX18wm5/P+LoXGptbE5xKCvKJO3yA6P2RJEQdxmi4fFNl7+JKk/adCOoUTsNWbVBrKi4xuFh4kXf2vENkijkzKNQrlJndZtLY5dbS7auaw3+vYevcn3F09+Dhr+agsaneDlCmwiLyVq4ke8ECDBcumFeq1TgPGoT7g1Oxa33zM77Vje7sOS6++CL6c+ZObq4TxuPz8ssob6ObVGWReOo4y959FbXGhunf/469szDlvVX05/PI+OkYSmcb6r3aqUaUWN2t6E16TmedtmRyRWVEWSZvrsRV61rOgL6VZyscNNWYuZp8GH7uAw5e8GJM9Z23hpCTkkzEz9+RePIYAF4BjRg44yl8g+58kvu/RuZegY3Nx25y68bllYUsy2xbdJZTOy+iVCsY9lQb6je7s7JHAINJ4pst0Xy7NQZZk4GfXzR2bidI08VZtlEpVHTw7cDAgIH0a9gPDzvrZxvfDv9teODXLISBM8wND+6UtPOxRMz5hrQ489+ia/PW5Dq5U1Bo9rHt0qUL/fr1Q3ON8dt/MZgk/m9ZFGujLqJUwCdjwhjTXmQDC6yDEL5qCQvejCQvo4QRz7WtlC+I2+bAL7D+/8zL4U/CwPdrlehlLC3lry9mEXf4AEqVmqHPvEjTzjXIM01wW2SWZPLB3g/YfGEzAE3dmjKz20xyttlwNOICwR19GPjIjcsDZVlmX+o+5p+az46kHZb1zdyaMTlkMvc0ugcblfU60hXt3cuFhx4GWab+d9/i1K/yBdvUuDz+/OQQjm5aps66s78Ng05HfNRhog9EEnd4P/qiIstzNnZ2NGrTgaBO4TRq0wHtfzLYZFlmZfRKZh+cTZGhCBulDU+0fYIpIVMqbGhQ3ZSWFPPL09Mpyc9jwPQnCe0/uPrOnZRMzoIF5K5YgVRo9opRurjgNm4cbg9MRON78x5r1kTS68n4/Auy584FwKZRI/w++QS71q2sEs+V3Tm7jn2A8DH3WyWO2oxsMJH8diRIMr6vdETtWnl+h4JrI8syKUUp5QzoT2efxiiVL29TKVQ0dWtqEbnCvMJo4NTAugJlaRF86GdefjEOHGqnGHGrmIwGDqxdyd6VSzAZDKhttHQdO5F2Q0agqsQMXVmWObEtgh3zf7MYmbe9Zxjdxk/CxtY6Ew2SJLNxzgnijmagsVUx6vl2ldat/mxqATqDidD6LigUCi7kX2BTwiY2xW/idPZpy3ZKhZIOPmUiWEA/PO1qvgeVQa9jz/JF5Roe9Jj4IKH9BlVqQy7JZOLIhnXsXlqWTWZjg2P77iTn5gPg4eHByJEjadDg5hoRmSSZ11YeZ+nBRABmjmjJ5PDASotXILhZhPBVCzAZJH56ehuyDA9+3A0Hl+rNKrCw/2f4+wXzctenYMDMWiV6lepKWDN7JhdOHEOtsWH4C6/TqE17a4clqCRkWWZjwkY+3PshOfocVAoVD3s9gWpNEzS2Kh6Z3QPVNbqMlZpKWR+3ngWnF3Aux5yBokBBr/q9mBwymY6+Vdv57lZI+2Q22b/9hsrVlUZr16DxvrVMthtxJjKFLXNP49/MjZHPta2045qMRhJPHSfmwF5iD0RSWNZ9CkClVtOwdRtzSWSHLuW6IqYWpfJO5DvsTjZ7gbT2bM3MbjNp4tqk0mK7HSL/XMyeZQtx9a3Hg5/9UKk3KhUhyzIlR46QPXceBRERUFZOatOoEe5Tp+AyfHiVlr9WJUV79nDxlVcxpqeDWo3Xk0/iMX1atXQw/S9n9uxg/VefYOfswvTvfqv2LL66QNq3RzAkFeJ+f3Psw+6ss62gYkqMJZzKOlWubDGzJPOq7dxt3S0CV6hXKC09WmKvqYHXiS9DITcBHlwPgd2tHU2Vc/HcaTb99A1ZSeZM3YDQtvSf9sQtNYa5Vf5rZO7k6UX/Rx6ncbuOVXbO62E0mPjr6yguRudi52zD6Bfb4eJVtZ/NxPxEIi5EsCl+UzmvVqVCSXuf9gwIGMCAgAE1UgSLP3qIzb9+T166ufSwaZfu9HlwBo5uVVd9kJ+RzpbfLvuH2TVsTKGnH8UlOhQKBV27dqVPnz6ob2L8I0ky7607xR974gF49Z7mPNrLuuM4wd2HEL5qAVkXC1ny3n5sbFVM+6KndW7A982Bf140L3d9Gga8V6tEL11hISs/epuU6LPY2Nkx6qW3qR9inawCQdWSrcvmw30fsjF+I8gKHjzyPrZ6R4Y+EUpg6/KDmaySLJadXcaSs0vI1pmFGDu1HSOajGBSyCQCnAOs8RKui1RaSvz4CehPn8ahWzca/DynUmf69q6J5dA/CbTs6U/viVd3y6wMZEkiNTaa6AORxOyPJCcl+fKTCgX+zVpYzPFdvH2RZZk1sWv4ZP8nFBgK0Cg1PN7mcR5s+aBVsr9KCvL55alplJYUM/TpF2nerVeVnUs2GMjfuInsuXPRHT9uWe/QtSvuU6fg0KNHpb7/1sKUm0vK2+9QsHEjAHbt2+P38cfY1K9ek3nJZOLXZ6aTn5Fe7Zl8dYXctbEU7rmIYzc/XIeJG5s7RZZlkgqSiMqMIio9imOZxziXfQ6jXD6bS61Q08y9WbmyRX9H/xozaXNdFo2HcxtgyKfQqeo7F1sLfXEROxfPIyrib5Bl7Jxd6DNlGs2796629+n80UNsvsLIvGl4D/o+OAMH1+qvJtGXGFn12WGykgpx9rTlvhfbV9vkflJBEhEJZhHsRNYJy3oFCtr5tGNgwEAGBAzAy9664n1xXi7b5v3C6V3bAHDy8KLfI/+jSfvO1XJ+c8fIXfz7+08U5+UiK1XYtelMRonZxsLLy4tRo0bh5+d3U8f6dNNZvtsaC8DT/YJ5rn9w7bhGCeoEQviqBcQeTmfDnBN4Bzoz9pUO1R/A3h9hw8vm5W7PQv93apXoVZyXy4oP3yIjPg5bB0dGv/ZepXgnCGo2EQkRvL/3fUJO9aFVWk+kptnMeGYYWpWW6Jxo5p+az/q49RZjXx97Hya2mMjo4NG4aGu2t48+Npbz941G1uvxee1V3KdMqbRjb5hzgtjD6XQbE0Sb/nfuF3EjZFkmOzmR6LIOkZd8JS7hFdDIIoKZPOyYuW+mpQw1xCOEmd1m0tStev+ety/4jYN/rcQrsDGTZ31ZJcKTKTeXnGXLyVm4EGOa+QZFYWOD8/BhuE+Zgm3TuncNk2WZvDVrSJv5PlJREUoHB3zfehPn4cOrdWB8aP0ats37GTe/+jz02fd1QlisToqPppO95CyaBk74PNHG2uHUOooNxZzIPMGxzGMWoevSxMyVeNl5lcvmCvEIwVZdS0tLI96G3V9Cx2kw9DNrR1MlRO/fw7+//WjJdm7Zuz+9Jj2MnVP136v818hca+9AzwceonXfgdV+vSvK07Ny9iHyM3V4NnBk5PPt0NpV74TWxcKLFhHsWOYxy3oFCtp6t2Vg4ED6N+yPj0P1dSX8b8MDFAraDS4rUbWr/qxNXWEhOxf9wbEtGwBQ+vij822IvtSAQqGgR48e9OzZ86ayv77bGsPsjWcBmNa9Ea8PbSHEL0G1IISvWsDBv+PZtzaOZl186f9gNXdJ2vsDbHjFvNz9eej3Vq0SvQqyMlnx/htkX0zC3sWVMW+8j1fDQGuHJagmcnQ5fLF2Dj7/dqREXciuvr/h5ejF3pS9lm1ae7Zmcshk+gf0R6O8ObPOmkDO4sWkvvseCo2GwBXLsW1WOdlZS97fT1ZSYYUZctVBfmY6MQf2ErM/kqTTJ5HlKzpE+vgS1KEL6fVlvkz9nQJDAWqlmkdDH+WR1o9Uy/tXkJ3Jb0/PwGgoZdQrb9O4beWWiejjzpM9by55q9cg68ydqVSenrhNvB+38eNRe9R9/5vSpCQuvvgSJUeOAOB0z2Dqvf02KlfX6jl/STFzHn8IfXERI196s9pm1usKxmwdqZ8cAKUC/3fDUWjMJauxubEczzx+g73vTkpNpZzNPktURhTRudFIV1z3ADRKDS08WhDqGUqYdxhhnmH4OvjWnZvFqCWw6lEI6A4Prbd2NJVKQVYmW377kdiD5nGHq289Bkx/koatwqwc2dVG5v7NQxgw/Sk86t+cd1NlkZdRzJ+fHKKkwIB/U1fufSoMtcY6nZxTClPMnmAJmziWcazcc22921rKIX0dqq4stSobHtwpSadPEDHnW7IvJiGp1KibtyGv7HLl6+vLyJEj8b0Jn9Hfd5/n3b/MHT0ndm7I+yNaoVTWkeuZoMYihK9aQMTvJzm3L40uIxvTfnBg9Z048jvY+Jp5ucf/Qd83a5XolZuWyvKZr5OfkYaThxdj33wft3rVWzYjsD6SSWLOC1sxlShYG/INF11iUCqU9GvYjykhUwjzCquVNw+yLJP02OMUbtuGNjiYwOXLUNre2Wy/LMnMeXY7xlKJB97tgquPdb1givPziDu0n+gDkSQcO4LJYLA8Z+vsTIafzF7HGFI8dDTzasHMbjNp5l415ZmXiJjzLce2bMC/eQjj3/m4Uj47sixTtGcP2fPmUbT9clMFbfPmuE+divPQIShvoz15bUY2Gsn65Rcyvv0OjEbUPj74ffwRDl26VMv5dyz8nQNr/6R+i1aMf+ejajlnXUGWZVI+3IdUYMDj0dYc1Bxn/qn5li6tghvj6+BrzuQqE7pauLewamOVKufiEZjTG+w94KW4G25eG5AkE1Gb/mbXknmUlpSgVKnoOHwMne8bV6O8A68yMlep6TxqLJ1Gjrtm5+WqIONCAas+P4xBZ6JxWy8GTbe+EJJalGrJBDuacbTcc2FeYQwMGMjAwIGVJoJVV8ODO8VoMLB/9XL2r16GyWhEcvem1L8RBqMJpVJJ79696datG6ob+HQuPXCBV1YeR5bhvrb+fDImFLVKZFgLqg4hfNUCls86QHpCAfc82prGbaup1nzPt7DpdfNyzxehz+u1SvTKSrrA8vffoCgnG1ffeox98wOcPSvXBFxQe/h33mlO70mhtEUacrcUxjUbR32n2t9O2ZiVRdzwEZiysnCbPBnf11+7o+MV5uiY++oeFEoFj37TC1UNGoCU6kqIjzpMzP5I4g4fQF98uUOkQS2T6FVMkq+egX0mMKPDY2hUlT9gz0lJ5vfnH0OWJMa/+zH1m9+4U+j1kHQ68tetI3vuPPTR5rbkKBQ49umD+9Sp2HeqOU0VrEXJ8eNcfOFFShMSAHB/6CG8nnu2yoXAguxMfnnyESSTiQc++LxGzLTXJtLnHaf0VC4rG27jZ4dlwGUDaVtVLS3Hq0IUCgWNnBsR5m0Wu6qzpKpGUFpc1tlRhhdiwLF2N0XISDhPxJxvSYkxl3PVa9qcgdOfxLMGVxz818jc3a8+A6Y/Wa1+uElnc/jrm6NIRpmQHn70ntisxnwHphalsjlhMxEJERxJP4LM5VviUM9QBgaaPcH8HG/sdVUR1mh4cKdkJScSMedbks+cRFKpoUlLisrGXn5+fowaNQovr+v/La85mszzy6IwSTKDW/ry9f1tsVHXnLGnoG4hhK8ajizL/PzcDgw6E/e/1Rl3P4eqP+nuryHiTfNyr5eh96u1SvRKi4vhzw/foqQgH88GAYx5432rmHYKag7xxzNZ/90xHFxsmDqrG4o6lE5duGMHiTMeBaDBz3Nw7NHjto+VdDaHNV8cwcXbjknvhVdWiJWOyWgg8eRxYg5EEnNgL0W5OZefU8rk+aro2ec+evQehb1z5fm1rfvqE87u2UGjth2475V3bvs4xowMchYvJmfxEkw55tgV9va43ncf7pMnYRNQ85oqWBOpuJi0jz8hd+lSALTNmuE3+5Mq9zn757vPObXjX5qF9+DeZ1+u0nPVFdKL01lyZgklu1J54OI97HY6yheNFnJf8H1MbD6xTkw4CKqIr8IgJx6mroNGt/89Zk0MpXr2rljMwXWrkEwmbOzs6THxQcL6D64VXoH/NTIHaN1vED0nPoSto2O1xBBzKJ2Nv5wAGToMCaTz8MbVct5bIb043ZIJ9l8RrLVna7MxfuAA/B1vXGVSExoe3AmyJHF8awQ7Fv6GrqgIo6snRv9GGCUZlUpF3759CQ8PR3mdz/+mk6k8uegIpSaJ3s28+HFSe2ytVOoqqNsI4auGU5Sr549XdpszML7qhUpTxV+cu7+CiLfMy71egT6vVu35KpnkM6dY+dE7lJYU49M4mNGvvWsV41BBzcJkkPj1xZ0YdCZGv9Qe38Y127z+Vkl9/wNyFixA5elJ47VrULvfXnvrEzuS2b7oLAGtPbj3Cev7j9wMsiSREnOW6P2RHNuzhdKsvMtPKsCvWQhNO3UjqGMXXLxvP4siPT6O+S8/DcDkj7/GO/DWB+O606fJnjuP/PXrkcvKNtV+9XCfNBnXMaNR1YHvrKqk4N9/SXn9DUw5OShsbPB+4f9wmzSpym4oL73nCoWSR77++Y4+P3WdU1mnmH9qPhviN2CUjLQsbsKnCf+H3s6I9ysdcNI6WTtEQU1n0QQ490+t7eyYcOwom3/5jty0FACCO3Wlz0MzcHKvfq/MO0VXWMiORb9zfIu5y669iyt9HpxBs/Ae1SLGXBqLAPQY35TQPjVXMM8ozmDzhc1sit/EobRD5USwlh4tLZlgDZyu9k27quFBr/70mmydhgd3SlFuDlv/mMPZyJ1Iag3GgKbobewAaNCgASNHjsTjOh6lO85lMGP+QXQGiS6N3fllakcctTWnvFNQNxDCVw0n6Uw2a748Wj0ZGLu+gM3vmJd7vwq9X6na81UyCceOsvrTmRj1evybt2TUy2+jtbeuR5Gg5rDp15NEH0ij7YCGdB0dZO1wKhVJpyN+7Fj00TE49ulD/e+/u63B6a4V0URtTiSsXwO6jw2ugkirFlmWiY05xvy1X1B6JhnP/PI+Kt6BTQjq1IWgjuF4Ngi4pd/Ryo/e4fyRgzTr2pN7n3np5mMymSjcvp3sP+ZSvH+/Zb1d27a4T52CU//+KGqQd0dNx5iRwcU33rB4oTl060a9Dz9E41M1pewrPniThGNHaHfPcPo8OKNKzlFbMUkmtidtZ/6p+RxMO2hZ3867HVOaTqbZr7Ygyfi+1BG1uyhvFNyAze+Yx6EdHoF7P7d2NDdNcX4e2+f/yqkd/wLg6O5B34f/R3DHmps1fbNcaWQO0KhtB/o/8jjOXlVvHbJ/3XkOrDsPChj4SEuCO9T8iYfMkkxLOeTBtIPlmlS0cG/BwMCBDAoYhKvBrsY2PLhT4g4fYPOv35OfmYHBxRODXyASoFar6d+/P506dbpm9tf+89k8/McBCvVG2jZ05Y8HO+FiX3uaTglqPkL4quEc35bEjiXnCAz1ZOjjoVV3op2fwZb3zMt9XodeN39jVxOIObCXdV9+hMloJDCsHcP/7zU0WjHQFlwm5lA6G38+gVKtwNPfEc/6jnjUdyr76Vjt7bMrG92ZM8SPHYdsMOD7ztu4TZhwy8dY/10U8cez6DWxGa161u5GEJviN/H51g9xTiglIM0B3xwtV0zE4upTj6BO4QR1DMcvuNl1s4aSzpxk6dsvo1AqeejzH26qSYZUVETuylVkz5+P4YLZswOVCudBg3B/cCp2oVV4Pa/jyLJMzuLFpH/8CbJej8rFBd+Z7+E8cGClnys+6jB/fvgWGq0tM77/o9rKfWoyxYZiVsWsYuHphSQWJAKgVqgZGDiQKSFTaOlp9r5L+/YIhqRC3Cc0w76N8NgU3ICopbBqBgR0g4f+tnY0N0SWZU7v3MrWeb+gK8gHhYI2A4fSfcKUOjXp+l8jc7VWS/fxk2k7eBjKG5iX3wmyLLNjyTlObE9GqVJw75NhNGhxe9ns1iCzJJN/L/zLpvhNHEg7gCRLKGRoluBEx2h3VAZQqJR0Gj62xjU8uFNKdSXsWbaAw3//hUmlprR+Ewx2ZquegIAARo4ciZtbxRY0UYm5TPltP3klBkLqOTP/kU54ONad343Augjhq4azb20cB/+Or9oslR2z4d/3zct93oBeL1bNeaqI07u388+3nyFLEsGdujLk6RertRONoHZg0JtY9uEBctOKK3zeycPWLIJZRDFHXDztapUfWNYff5D+0ccobG1ptPJPtI1vrRxv4dt7yU0rZsSzbajfvPYMMK9Fji6HWftm8U/8P2j1StoVNKRbcTNyzsaW6xDp4OpGkw6dCe4YToNWoajUl68fsiyz9J2XST5zitB+gxkw48nrntOQnEz2goXkrliBVFAAgNLFBbdxY3GbOBFNvXpV82LvQvSxsVx88SV0p8wt0V1G34fPq6+hcqw8L0xZlpn30lNkXoinx8QH6TRiTKUdu7aRUpjCojOL+PPcnxQYzJ9tZxtnxjYdy4TmE67qbJa7NpbCPRdx7OqH6/Am1ghZUJtIiYKfeoKdu7mzYw32N8pNTSHil++4cPwoAJ4NAhgw4yn8mja3bmBVSFZSIhE/m43MAXwaBzFgxlP4NKq6v21Jktn0y0liD6ej0aoY+XxbvANq371dti6bf/av4Pyyf7DLMI890l317GmdhU/DxgwMHMjAgIEEugRaN9BKJi0uhk0/fUNafCwGVy9K6zVERoFGo2HgwIF06NChwsz70yn5TP51H5mFpQR5O7Lgkc74uohkBsGdI4SvWoCh1ITJIGHrUAVizvbZsLVM9Or7JvR8ofLPUYUc27KRiJ+/BVkmpEcfBj32bJXOQAlqN5Ikk5deTFZyEZlJBWQlFZKZVEhhjr7C7TVaFR7+Dpczw/wd8fB3wMa2ZmaHyZJE4rTpFO3ZgzakBY2WLEFxk93vJJPET09tR5JkpnzYFac6VJq0JWELM/fOJEuXhVKhZErQAwySO5Bw6BBxhw9QWnJZDNXaO9CobQeCO4UT2KY9SadPsOqjd1FrbHj46zkV+rXIskzJkaNkz5tHQUQEmEwA2AQG4jZlMq4jR6KsxRkAsiyTq88lrTiNtKI00orTSC1KxSgZ6e7fnfY+7VEprXPdlUtLyfj2O7J+/hlkGU2DBvh98jH2bdtW2jlObt/Chu+/wNHNnWnf/lpOGL0biMqIYv6p+WxO2IxJNn+2A50DmdRiEsOaDMNeU/FnuzgqnezFZ9HUd8Tnycp7PwR1FEOJubOjLMEL0eBY87IETUYjh9avJnL5IoyGUtQaG7qMuZ8O945CdReUrJuNzDexY8Hv6IuLUCiVtBsygm5jH0BjWzVjBpNBYt13USSdycHOScN9L7TH1af2fJ8aSvXs/XMJB/9aiWQyobG1xal/G/b6XGBf6n7LNRUg2C2YgQEDGRg4kMYuNc/U/3aQTCYO/72G3csXUirJ6PwbY7IzZ043btyYESNG4OJyte9ubEYhk37ZR0qejobu9iyc1pkG7rXnfRfUTITwdTez7WPY9qF5ud/b0ON568ZzC+RnZnB8ywb2rjR3+QobMIR+D/+vVnTNEdQ8dEUGiwiWlWz+mX2xCJNRqnB7Zy87POs7lssQc/KwrREdeAxp6ZwfMQJTbi4e0x7B+4WbE7Nz04tZ+NZe1BolM77qVasy3W6GXF0uHx/4mHVx6wDzjfvMbjNp7d6SCyeOEbM/kpiDey2drABUGg0aWzt0Bfl0GHYfvSY9XO6YssFA/qZNZM+dh+7YMct6+/AuuE+dimPPnjX+miTLMjn6HFKLUi2i1iVh60qhS2+qWBwGcLd1p3/D/gwMHEh7n/aoldV/A1h84ADJL7+M8WIKKJV4/u9/eD72PxSVkP1rMhr45clHKMzJZvDjz9GyV79KiLhmY5SMbL6wmfmn5nMs4/Jnu3O9zkwJmUJ3/+4oFdf/bBtzdKR+fACUCvzfDUchunQJbsTXbSE7Dqashca9rB1NOVKizxIx5xsyLsQD0LBVGP2nP4Gbr591A7MCVxqZAzh7edP/kcdp1LZDlZyvVGdk9edHyLhQgJOHLaNfbI+Da80vf0s4fpTNP1+74UGuLpd/E83lkPtS9mGUjZZ9g1yDLJlgTVxrf8ZsXnoqm3/9gfNHD2Fw86bUpwGyQoFWq2Xw4MG0adPmqjF0YnYxD/yyjwvZxdRzsWXBtM408RJ2A4LbRwhfdytbZ8H2j8zL/d+B7s9ZNZybISspkZgDkUTvjyQtLtqyvuPw0fSY+GCNEB0EdQfJJJGbVkJm8uXMsKykQorySivc3sZWhUd9Rzz9zWWSnvWdcPd3QGNT/Td7+RERJD/1NCgUNPz9dxy6dL7hPvHHM1n/3TE8/B2Z8GanaojSOmxL3MZ7ke+RUZKBAgWTQybzZNsnsVPbIUkmUqLPEXMgkpj9kZbBqo2dHdO++dXSacmUl0fOsmXkLFyEMTUVAIWNDc7D7sV9ylRsmzW11ssrhyRLZOuyLwtZ/xW2itJIL06nVKr4M/1f3G3d8XXwxcfeBx97H3QmHVsTt5Knzyu3Td+GfRkYMJCOvh2rVQQzFRSQOnMm+Wv/AsA2LBT/Tz7BJiDgjo+9b/Vydi2ei2fDQKZ88k2d/b7JL81n5bmVLDqziJQi8+dfo9QwtPFQJrWYRDP3Zjd9LFmWSflwP1JBKV6PhqJtVLe66QqqgMUT4ex6uOcT6PyotaMBoLSkmF1L5nNk4zqQZWydnOk9+RFCevats9eBm+WSkXlBZgYAzbv1oveUaTi4VuzfdCcU55eycvYh8jJK8PB3YNT/tUNbQ43Pb6fhQZ4+z+wJlrCJvRf3lhPBmrg0sYhgQW61tzmTLMuc2bODrX/MoUino6ReIyR7s5DVtGlThg0bhpNT+Q7AqXk6HvhlL7EZRXg62jD/kc60qCfu7wW3hxC+7jZkGbbNgu0fmx8PeA+6PWPdmK6BLEmkxkYTfSCSmAN7ySnrKgOAQoF/sxa06jOQlr363fWDD0H1UVJQSmZyoUUMy0wqJCelCMl09eVRoQAXb3tLVtgl7zBHN22Vf2ZT3nyL3OXLUfv40HjNalSurtfdPmpLIruWR9OknReDZ7Su0tisTZ4+j08OfMLa2LUANHRqyHvd3qO9T3vLNrIsk5mYQHzUYfyCm+PfPAT9+fPkzJ9P7qrVyCUlAKg8PHCbeD9uEyagvk6r7spGkiWySrIsWVmpxanlfl4SuIyS8YbHUqDAw84DH3ufy8KWg0+5x9723tiori6bNUgGDqQcYFPCJrZc2EKuPtfynKvWlX4N+5lFsHod0Sir5yYlb/16Ut99Dyk/H4W9PT6vvoLrmDF39DenKyxkzuMPYtDrGP3aewSGtavEiK1PYn4iC04vYHXMaoqN5tJfd1t3xjcbz7hm4/C0u7rE92bImn+KkpNZuNwTiFOvBpUZsqAusuU9c7Ol9g/BsC+tHQ0xB/ex5bcfKMzKBCCkZ196TX4Ee2ch4l7iSiNzWZawdXCk5+SHadV7QKWPc/IzS/jzk0MU55dSL8iF4U+3QW2FycVrUVkND/L0eWxN3EpEQgR7Lu4p9z3e2KUxAwIGMDBwIMGuwbXy/qeksIAdC37n+NZNlHr4UurlDwoFtra2DBkyhNatW5d7XVmFeib/up9TKfm42GmY93Anwhq4Wu8FCGotQvi6m5Bl2Poh7PjE/Hjg+9D1KevG9B9MRiNJp04QfSCS2IN7KczOsjynUqtp2CqMoE7hNGnfuUpmlASC28FklMhNK7YIYVlJBWQmFVJSYKhwe6292iKCXRLF3P0cUFdiKZBUXMz5+0ZTGh+P06BB+H/5xXUHSNsXneXEjmTaDw6gy8jan1Z/M+xI2sG7ke+SXpyOAgUTW0zk6bZPl/MskmWZ4r17yf5jLoXbt1vWa5s1w33qVJzvHYryJn3UbhaTZCJLl3VVueGVj9OL08vNCF8LBQq87LwsQpaPgw++9r7lHnvbeaNR3bkoZZSMHEgtE8EStpCjz7E856J1sYhgnep1qnIRzJCSwsWXX6F4/34AHPv3o97Mmaiv0UnqZtj6xxwO/7OWgNC2jHl9ZmWFajVkWeZQ2iHmnZrHtsRtyGVtT4Ncg5gSMoUhjYegVd1ZOVHBjiTy/j6PbYgHnlNCKiFqQZ3m2HJYOQ0ahsPDG6wWRmF2Fv/+/hPR+/cA4OLjy4BpTxIQ2sZqMdV0LhmZp8fHAtAgpDX9pz+Ju1/ldojOTCpg1aeHKdWZCAz15J5HW6FUWd9SoKoaHuSX5rMtcRub4jex5+IeDNLlcWWgc6AlE6ypW9NaJ4IlnjxGxM/fkZmdha5eI6Syzo8tWrRg6NChOF7RRTmv2MDU3/dzNDEXR62a3x7sSKdGtb8Jk6B6EcLX3YIsmzs37vzU/HjgB9D1+t3JqguDXkd81GFi9kcSd/gAuqJCy3MaWzuz0XTHLjRq27FOtYgW1H2K8vTmzLArMsRyU4uRpAqyw5QKXH3sy2WGedZ3xN7Z5rYHMyXHTxB///1gNFLvww9xvW/UNbdd8+URks7k0HdKC1p0vXs6D+aX5vPpgU9ZFbMKZJnWRl9ecB9Hw3QJ/blzlJw8iSHhgnljhQLH3r1xnzoV+86dbut9MUpGMksyr11+WJxGRnFGOcPba6FUKPG08yxXfujr4HtZ3LL3wdPes9oyra7EKBk5lHaITfGb2HxhM9m6bMtzzjbOlnLILvW6VIroVhGyJJH9+x+kf/klGAyovDzx+/BDHHv0uK3j5aWn8evT05FliSmffINXQKPKDbiaMJgMbIjfwPxT8zmdfdqyvrt/d6aETKFLvS6VdgOlj88j48djKB011Hu9c627MRNUM6nH4cfuYOsKL8dXe2dHWZKI2ryBnYv+oLSkGIVSScdh99Fl9AQ02rrT8KWqkEwmDv29hj3LFmIs1aPSaOgyajwdR4yu1KYgF6NzWPtVFCajRIuu9egzubnVri3/bXig0mgIH30/HYbdV+kNDwpKC8wiWMImdifvLieCBTgHWIzxm7k1qzXXWmNpKftWL2Pf6hXo3Lwo9fQDhQJ7e3uGDh1Ky5YtLdsW6o1Mm3uAvXHZ2GqU/DylAz2CvawYvaC2IYSvuwFZhn9nmtPHAQbNgvDHrRpSSWEBcYf2E3MgkvioIxhLLxsn2zm7ENShM0Edw2nYKgx1JWdTCATWxGSQyE4pKmekn5VUiK6o4uwwW0dNOSHMs74jbr4OqNQ3N8OZ+dMcMr74AqW9PY1Wr8KmYcMKt5v72m4Ks/Xc92J76jWp+2UcptxcdOfOoT8Xjf7cOTJOHMIYG4edvgJR0t4e11GjcJ88CZvAwGse0yAZyCwuE7UulR5eytIqE7YySzKR5IqbJlyJSqHCy96rvKB1KWOrbNnTztMqRvK3ikkymUWwhE1sTthMlu5yJq+TjRN9GvRhUOAgwuuFV4kIpjt9muQXX6Q0xpyJ4PbAA3i/+ALK2+hC9teXH3MucichPftyzxO1pyEMmI2Ul59bzuIzi8koMXvy2KpsGdZkGJNaTKKxa+V3EZMNEsnv7AGTjO9LHVHXoW6xgirAoIMP65k7O/7fWXDyrbZTZyYmEDHnWy6eM4vBvkFNGTD9SbwD60Z3veokLz2Vzb98T3zUYQA86jdkwPQn8W9eeVmfcUcz2PDTcWQZ2g0OINwKmeopMWeJ+OnKhgeh9J/2BG71KjfLrSIKSwvZlrSNiPgIdiXvKufV2dCpoaUcsoV7i1ohgl36+0tMiEfn1wjJ1pzo0KpVK4YMGYJ9WeKDzmDifwsOse1sBjYqJd890I4BIT7WDF1QixDCV11HlmHLu7DrC/PjwR9Bl8esEkpBViYxB/cSsz+SxFPHkaXLN3/OXj4Ed+pCUMdw/Jq1QKmsOTX7AkFVI8syRbmlZCYVlBPDctOKqeiqq1QqcKtnX2am72QRxuydrxaJZZOJC1MfpPjgQWzDQglcsOCqTnfGUhM/PW0u43v40+7YOdYdsVnS6ymNjS0ncunPncOYnl7h9ia1kkR3iQteCvLqu9Cvz8O06TseycGO9JL0yxla//XTKkojU3dzopZaocbb3vtyueEVmVqXHnvaeaKqg9dBk2TicPphSyZYZkmm5TknjRN9GvZhYMBAwv3CK/QUu10knY70zz4nZ/58AGyaNMF/9ifYhtzajVhqzDkWvv48SpWaad/+YunOVZOJy4tjwakF/BX7FzqTDgAvOy/ub34/Y5uOxdXWtUrPn/bdUQyJBbhPaIZ9G+8qPZegDvBNe8iKgcmroUmfKj+dsbSUfauWsn/Nn0gmIxpbO7pPmEKbQUPEWPQOuNLIvCTf3AAlbMA9dL9/KrYOldOZ79Sui2xdcAaA7mODCetXPT6CpSXF7Fo6nyMbakbDgyJDEdsTt7MpYRO7kneV68Jc37G+pRwyxCOkRotgsiRxbMsGti/8g0JHV0o96oFCgYODA8OHD6dZM3NzFb3RxDOLj7LhZCoqpYIvxrdheNjd111VcOsI4asuI8uw+W3Y/ZX5sRW65GQlJxKzP5KYA5GkxkaXe86zYSBBHcMJ7hSOV0CjGn0xFgisgbHUZMkOuySGZSYVUlpSsbeTvbONWQTzv5wh5uprj5SWStyIkUgFBXg+/jheT5f39stKLmTJzP1o7dU88lmPWvm3KEsShuRki7ClO2v+WZqQAKaKywY1/v5omzYt+x+MbdOm2AQGsjfjIO/seYeLRRcB8LD1IFuXbfFAuh5qpdoiXv3XT+tSppa7rXudFLVuFZNk4mjGUTbFbyIiIcKShQTgqHGkd4PeDAwYSFf/rnfsNXWJwp27uPjaq5gyMkGjwfuZp3F/6CEUqpt/P5a+8wpJp0/QccQYek58sFLiqmxkWSYyJZL5p+azK3mXZX0L9xZMDpnM4MDBVVZi+l9y/4qlcPdFHMLr4Tai9nYkE1QTSx6AM+uqZaLW7DH0LTkp5mt9kw6d6fvQ/3D2FOVTlYXZyPw3TmyNAMDBzZ2+Dz1KcKeulTLWOPhPPPvWxAEw4OEQmnaq2izBqxoe9OhDrynTakzDg2JDMTuSdrApYRM7k3ZaJjsA/B396eDTgVCvUMK8wghyDaqRY5HC7Cz+/eMnzkQdNWd/ae0ACAsLY/DgwdjZ2WE0Sby44hirjiSjUMDH94UyrqNooCK4PkL4qqvIMkS8BXu+Nj8e8il0ml4Np5VJu9SJcX8k2f/pxOgX3JygTuEEdwzH1ffu8RESCCoLWZYpzNGXM9HPTCokL6OEinQZpVqBez0HnMlFtXU1DsUptPj0ddy7drBsE3s4nQ1zTuDTyJkxL3e4+iA1DGNODvoyYUsffc6czRUdg1xcXOH2KheXKwQus8ilDQ5G5XjtWeciQxFfHPqCpWeXWtZplJoKOx5eKXC527qjVFjfaLe2IckSR9OPsinBLIKlF1/OyHPQONC7QW8GBAygu3/3OxbBjDk5pLz5JoWbtwBg36kTfh/NQuN3czPGMQf3sWb2TLT2Dsz4/nds7GqO96TepGd93Hrmn5pPTG4MYG5w0KdBHyaHTKa9T/tqF7aLozLIXnwGjb8jPk+1rdZzC2oh/74PO2ZDu6kw/OsqOUVFYky/h/5HUKfwWjnxUxu4cOIYm3+5LDI2bt+Jfg8/dscioyzL7FoWzbGtSSiVCoY8EUpAy8rvsHxJjIned7nhQf9pTxAYWnOvacWGYnYk72BT/NUiGIC92p7Wnq0tQlioVyhutjWncVjMwX1s/u1HslRaDO4+Zp9VR0dGjhxJUFAQkiTzxpoTLNpn9mF9e1gID3Wrnd6bgupBCF91EVmGTW9A5Lfmx1UsekkmE0mnTxC9P5KYg3stsyAASpWahq1CCeoYTlDHLqITo0BQRRj0JrKSy/uGZSYXYtBVnO3k4KLBs4EzHvUdyc8sIeZgOk07+zDgoZYVbm8NJJ0OfUysJYtLf+4cuuhz5mydClDY2GDTpAm2TYPLBK5maJs2Re3tdds3MxfyL1BoKLRkaomboqpHkiWOZRxjY/xGIhIiSCtOszxnr7anV4NeDAoYRDf/btiqb88zSpZl8v78k9QPZyEXF6N0csL3nbdxGTr0xvtKEr8//xg5Kcn0njKd9kNH3FYMlUlmSSZLzy5l2dlllkYC9mp7RgWP4oHmD9DA2Xoz4cZcHakfHQClAr93wlHa1LwMA0EN4vgK+PMRaNAZHtlUqYeWZZkzu7ezde7PV5TfDaHHxKlo7R0q9VyCq7lkZL5/9Yorykon02bQ0DsqK5UlmYjfTxF9IA21jZLhz7StNK/SS+V3OxbW7oYHxYZiDqYd5Gj6UY5lHuN4xnGKjVdPFjZ0alhOCGvq1tSqXqKXykoPbt9KSb1AZBvz77xdu3YMGjQIGxsbPlh/ml92nQfgxUHNeKKPyCwWVIwQvuoasgwbX4e935kfD/0MOk6r9NMY9Drijx253ImxsMDynEZrS6O2HQjqFE7jth3EYEIgsBKyJJOfpbOIYJnxuaQeiaNEU7EA3WlYIzoOrf7ZMlmSMCQmlvlwnbNkc5VeuABSxZ5ZmgYNypUoaps2xSYgAEUld1ESWJdLIlhEQgQRCRGkFKVYnrNT29Grfi8GBg6ku3937NR2t3z80oQEkl96CV3UMQCchw3D9803UN1g/HBs8wYifv4WZy9vHvnqZ5S3UCpZmZzNPsv8U/P5+/zflg5f9Rzq8UCLBxgVPApnG+uPg2RZJmXWfqT8UrxmhKJtXDNKggQ1lNQT8GM30LrAKwmV1tmxOgzXBTdHRY0EBs546qY75coGA8bsHEzZWRgzszBmZVKakc2OU26klZivL7YaE+5eNng28cA7yNNi/aBS3XxGdl1ueGCSTMTmxRKVEcWxjGNEZURxPu/8VdvZqe1o6dGynBjmaVf93pYpMWfZ+NM3JOtN5uwvwMnRkVH33UejRo34YnM0X28xW+o80acJLwysPZ0tBdWHEL7qErIMG1+Dvd+bH9/7BXR4uNIOryssJO7wfqL3RxJ/7DBG/RWdGJ2caVLWiTGgdRvRiVEgqKEUHz5M7NTpFNr5opryFEVugWQlFVKqM3HPo61w861aodqYlXU5e+uS4XxMDHJJSYXbq1xdL5coNmtqFrmCglA6CEH9bkOWZY5nHrd4gl3yYAPz4Lxn/Z4MCBhAD/8e2GtuvvxQNhrJ/PEnMn/4AUwm1H718PvoIxw6dbrmPoZSPT8/8TAl+XkMfeYlmnfteUev7VaQZImdSTuZf2o++1L3WdaHeYUxOWQy/Rr2q3HdPrMWnKLkRBbOgwNx7i18WATXwaiHD+qBbILnT4PznZlWSyYTh/5ew55lCzGW6lFpNHS5bwIdh9+HSl09PneCq6kok6ptr/60a9cZZUEhxsysy8JWdhamzCyM2dmYMjMx5eVVeEyjSsvJkIfIcm8JFVgOKJFwcZLx8HfAu7kvnoGueNZ3vKqhz93a8CBPn8fxzOMWMex4xnEKDAVXbefv6G8RwsK8wmjm1qxaPCNNRiOH1q9mx7o1FHnVR7Yx2x506NCBgQMH8ltkIh/9Y2528FC3QN66t2ab+QuqHyF81RVkGTa8Avt+ND++90vo8NAdH7YgO5PYA/uIPhBJ0qnjSFeYRDt5ehHcMZygTuH4Nwux2oy3QCC4NTK+/obM779H6eRE49Wr0PhXfuttqaQEfUzMVSKXKSurwu0VWi3aJk2u8uJSe91+maKg7iLLMiezTrIpfhObEjaRXJhsec5ObUd3/+4MDBxIT/+eNy2CFR85wsWXX8Fw4QIoFHhMm4bXU0+iuMZEzp7li4hcsQifxsE88OHnVf45LTYUszZ2LQtPLyQ+Px4AlUJF/4D+TA6ZTJhXWJWe/04o2JFE3t/nsQ3xwHOKyLAR3IBvOkBWNExeBU363vZhUmOj2TTnGzLizebnDUJa03/6k7j7Vf53nqA8siRhysvDlJV1tYiVlYUxKxtjViaF2dkc00ikOpkzdu31BlomZeBVWPFkmAWVCpW7G2p3D9QeHqg8Lv10p7SgmMzoDLLSdOQZHCh08KfQ0R/TNbKC7dQG3DzUeDV2Q+mQz8ltC8nPMGcXV5YXWW1EkiXO550vlxUWmxt7VaMfrUpLiEeIJSMszCsMb/uq6+Cbm5rChp+/IzYzG4Ob+TzOjo6MHjuWHRdl3lxzEoAJHRvwwajWqJRiDCkwI4SvuoAswz8vw/6fzI+HfQ3tp9724bIvJhNTZk6fEnO23HOeDQII6hROUIcueDdqIm5IBYJaiGw0kvDAJEqiorDv0IGGc/+4pa525Y5lMlF64YI5c+vcOfTnzqI7dw7DhUTztem/KBRoGjTAtllTtMGXRS6bgIa3HYPg7kaWZU5lnWJTwiY2xW8iqfByUxVbla1FBOtVv9cNRTBTYRFpH80ib8WfAGhDWuA/ezbaJk2u2rY4P4+fH38Io6GU8W9/RP2QVpX7wspILUpl8ZnFrDi3gvzSfACcNE6Mbjqaic0nUs+x5jeK0Sfkk/FDFEpHDfVe7yzGDoLrs3QSnP4LBs2C8MdvefdSXQm7ly7gyD9/IcsStg6O9Jz8MK16DxCfvTtALi3FmJ2NMeuyeGXKyrSIWKYs83PGrExM2TnX7KhcEWnO9pys741OYx4HBNjY075+Yxy8fS2CltrDE7WHOypPT1QuLiiUNy5bNBUWURoTTcnZc+ScvkBmQi7Z2RIFag8KHetTYmcWtGSpBGPJDkylZtFEoXDA1a0H/k1a4d28Ht7B3njUd8TW4e7OEiwoLeB45nGLEHYs45jle+lKfB18zUKYZyhh3mG0cG+BjaryqoFkWeb0zq1sXLqIfFdvZI352J06dKDQuxWvrDqJJMOINn58OjYMzS2UuArqLkL4qu3IMvz9Ihz4GVCYO+C0m3KLh5BJi4sh5sBeYg5EkpV0odzz9Zo2N2d2deyCWz0xSyYQ1AVKL1zg/MhRSMXFeD33HJ6Pzrju9rIsY8rMvFyeeMmPKzYWWaercB+Vu/tVPlzaoCCU9jWnC56gbiHLMqezT1sywRILEi3PaVVauvt3Z0DAAHo36I2D5trlsvkREaS++Ram3FwUWi3eL72I28SJV900R/z8Lcc2b6Bx+06MeumtSn0tJzNPMu/UPDbFb8IoGwFo4NTA7N8VNOqWyjmtjWyQSH5nD5hkNH4OqN1sUbnZonLTmpddtajdbVHa1qwSTYGV+PcD2PGJeTw7/Jtb2jXu8AE2//o9BZkZADTv1os+U6dj7+JaBYHWbmRZRioqrkC8uiximQUu838p/2qB40YoXVxQe1ydlWURscrWqT08KAX2LFvAkY3rQJaxdXKm9+RHCOnZt1IFS1mWMWZkoD97joJT5zh+9ASns+MwYr7OqjUtUdn3QqG82rzeTqXH3U2JZ4ALPq3q49XYHWcvO5R3aVaRLMvE58dbhLCojChicmOQ5PL+rBqlhhYeLSxZYW282uBj73PH72txfh7/zvuVozFxGF3N3mPODg74dxzA65suYpRkBoT48O3EtmjVYnL1bkcIX7UZSYK/X4CDv2IWvb6BdpNvbleTiaTTJ82ZXQf2UpCVYXlOqVLRoGUowZ3CadKhC45u7lX0AgQCgTXJXbmKlNdeA7WawMWLsGvdGgCpqAh9TMxVIpcpJ6fC4yi0WrTBwVeJXGrP6jdAFQguIcsyZ3POWkSwhPwEy3M2Shu6+XdjYOBAetfvjaON41X7G9LSSXntNYp27wbAoWcP/D74ALXX5ZKX7ItJ/P78YyDLPPj5D3j435l/lUkysTVxK/NPzedw+mHL+g4+HZgcMple9XuhqqUeM5nzT6E7WXGp8yUUtqrLQtiVwljZOqW9WmTs3A2c+BNWPAz1O8G0iJvapSg3h3//mMO5yJ0AOHv50H/a4zRq074qI61xyCYTprw8jJmZmLKzK/bKukLQkq/w670p1GrU7lcKVu6oKhCxVB4eqN3crlkqfj1Sos8SMecbMi7EA9CwVSj9pz+Jm++d+b39l7z0VDb/+gPxRw8B4OHfgN73jsZNbyTrZDwZcdnkZJnIMzlS6OCP7hqm7iqMuNgZcPfR4h3shU+rBng2dMbG7u4U8osMRZzIPFEuKyxHf/X40dvOmzDv8llht9upOeH4Uf7641ey7JyQ1ebPnF/jFnx+zhGdEXoEezJncgfsRFfhuxohfNVWJAn+/j84+BuggBHfQdsHrruLoVRPwrGjxOyPJPbwfnQFl2du1Fotjdq0J7hjOI3adcTW4eqbAIFAULeQZZnk556nYMMGNP7+aFs0R38uGkPitcsUbRo2vMqHy6ahKFMU1GxkWeZczjlLOeQljywwz0R38ysTwRr0xsnG6fJ+kkTOwkWkz56NXFqKys2Neh+8j1Pfy75Dq2e/T+zBvYT2G8yAGU/eVnyFpYWsilnFwtMLLX5laqWaewLvYVLIJEI8apcvlizLSIWFl7NFLt1s58so7dxA5QSyLVKpGqlYwpSrRyoy3vC4ChtV+SyxcuKYFqWDRghjtRRZlpHy882fk5hDGJc8idHkgNTtVbjOWyrLMtHJCRyMOYnBaEShUBDSsAlhjZuhUdVh4cEkYcrJMRu+Z2WWCVvZmLKzr9kN+Voo7O3NgpW7uYzQ/NPD7J/l6YHK8tP9pksM75RLRuaRyxdhNJSi1tjQZfQEOgy7D9Uddm+2NDxYvhCjXo9KrTY3PBgxusKGB5cmA/NPRZNxOoXMpEJyC1TkazwpcvBDukYJn72yBDcXGc8GTni3rI9PSD2cPexQ3GXZYbIsk1iQaMkIO5ZxjHM55zDJ5Uth1Uo1zd2al+sg6e/of9PXdEOpnp3LFhJ5+CgGZ3PShq2NlrXFQVw02tMp0J1fH+yAk+3dXa56NyOEr9qIJMH65+HQ74ACRn4PbSZWuKmuqJDzhw8QfSCS+KOHMegvlyTZOjnTpF0ngjqFExDaBk1ZdwyBQHD3YMrNJW7kKIypqeXWqzw9sW0aXM6HSxvUBKVdxeawAkFtQZZlonOjLZlgV7Zw1yg1dPXryoCAAfRp2AdnG/M4Qh8dTfKLL6E/Y+4Y5TpuHD6vvIzS3p6k0ydY+s4rqDQaZnz3+y2VVCUXJrPw9EJWRq+kyFBkPrbWlbFNxzKh+YQqNQi+VWSTyXyj/Z/ypyuNqq8sj5JLS2/uwAoFKldX1F6+qLwaonKth9LRG4XWFVQOINki6ZXIuhsPQRUaJSpXLSo3W9RuWlSuZT/LHisdbe66m05rIhsMGHNyrusHZfksZWeDwXBLxy/Uajhe34scR/P3knOxjtZJGbiU3ORnrw6jcnW9pniltohb5p812X4gNzWFiF++48Lxo4DZa3jAjKfwa9r8to6XGhtNxJxvSY+PBaB+SCsGTH8Sd7/6t3ScS/YPxWfOknU8nozYTLLTDeSW2lJo54fe1q3C/VSyAVetDndvDV6NPfBpE4hnYw9s7rIy72JDMaeyTpUzzs/SXZ0R7GHrUU4Ia+nR8oZl/hkX4lk55wdSUSOrNSDLxBk92GlqRGh9N+Y+3AlX+8rzGxPUHoTwVduQJFj3LByeCyhg1I8QNqHcJoU52Ra/rsSTx8p3YvTwIqhTF4I7huPfvKXoxCgQCNCdOUPuij+xaVDfInKpPTysHZZAUC3E5MRYMsFi82It69VKNeH1whkYOJA+DfrgpLAj48uvyP79d5BlbAIC8Jv9CbatW7Pojf8jNeYcXUbfT7dx18++lmWZoxlHmX9qPlsubLF4oTR2acykkEnc2/he7K7RfayykXS6mxCxzGKFKSen4kzQ66B0cCjn66O00WLMyTaXW2WXHfNms1OUahR27qjd/VF5NkDlUg+FgycKGxdQ2IOk4bqpQQAqBeoyYayijDGVs1YIYzdAKi42v3eZmTcUP025ubd8fKWTk1mUKU1CrSpE2bw3OJf3lzXJEqdy0jmVk46EjFqhpLW7L01dPFHeLRl/CrO4ddkr64pyQzc3FJq6k9Vyych827xfKCnIB4WCNgOH0H3CVLQ3KdqV6krYs2wBh/+u2oYHlxr+5J+IJv1kEpkX8snJg3xcKXKoh6Ss4H2RZRwURbg5mfDwd8S7RT182jbC2cv+rslglWWZi0UXiUq/nBV2JvuMxd/yEiqFiqZuTS1iWJhXGA2cGlz1e5IkE/v/Xsu/23dQ6uACgN4Am4zN8arnx/xHOuPlJBI+7jaE8FWbkCRY9wwcngcKJYz8EcLGA5CTkkz0/khiDkSSEl2+E6NH/YYEdQwnuFO46MQoEAgEAsE1iM2NtYhgMbkxlvVqhZrOfp0ZFDCIbinO5L31vjlLUqXC68knyAoNYd3Xs7Fzcmb6d7+h0V7tU2KQDETERzD/1HxOZJ2wrO/q15XJIZPp6tcVpeLOSogul4v9N7umYmFCKiq6tRMoFKjc3G7KqFrl4YHS9vp+LbLJhCk3t5wPkcWPqFw2kNmb6LpZZAoVCjt3lPbuKOw9Udp7oHTwROnsg9LeHdROKG70+1UqzILYtcQxFxsUdaw7mCxJmPLybjorSy4uvrUTKJXmLCN3d3PGkcf1S+mU2rKb0WVT4NQaGPgBdL1cQpx06gQRP39L9kVz99bG7TrS7+HHcPaqOdmRgqqhOD+PHQt+4+T2LQA4unvQ9+H/Edwx/Lr7xR05wOZfrNvwQCoupiQ6hoyjsWREZ5CVqiO3REuBjRel2orjUEt6XDTFuHuo8Gzkjk+bhniF1MdGe3dkh+mMOk5nnyYqPYpjmceISo8ivST9qu3ctG7lssJaebayNK/Jz8xg5c8/EF9UCmo1yDIxOmcuerZl4Yxw6rmIKoa7iSoXvr777jtmz55NamoqYWFhfPPNN3Tq1Oma2y9fvpw333yT+Ph4goOD+fjjjxkyZMhNn6/OCl+SBH89BUcWgEKJPPIn0p3aEXMgkuj9FXRiDGpGUKdwgjqG4+4nOjEKBAKBQHArxOXFWcoho3OiLevVCjU9Xdpx/7oCXHYeB0Dbpg1bXG3Iz8mi/7THCRtwedySp89jxbkVLD6zmLTiNMBsrj+syTAmtZhEkFvQdeOQjcYyH5+qKRdTaDTmkqcbiFhqDw9Urq4o7tBf53Yxd6ArMmcaZWdXbN59xe9CKij4zwtVorB1RWnvicLeA6W9e9ly2U87NxTKG7w2BSgdVKjd7VB72JsFMdeybDE3W9SuWhRq6wtjcmkpxpyca/yO/vO5yckB44391a5EodWaPw838INSe3qaPaFup7pg6yzY/hG0nQQjvkNXWMiORb9zfMtGAOxdXOn70KM07dJdTOjeZSQcP8rmn78jNy0FgKCO4fR9+FGc3Mubzxfl5rD1jzmcrcEND4xZWeQdO0vasQtkxOeRkyORZ3KkyM4HuaLrkSzhIBfg5mDAw88e72Y++LZvgpOfW53/O5BlmbTiNI5mHLWUR57OOo1BKv+dp1QoCXINsghhYV5h5B89z9///IPe1iyI6fUmjjmE8cNjQ2joUXNLfQWVS5UKX0uXLmXKlCn8+OOPdO7cmS+//JLly5dz9uxZvL2vnpnZs2cPPXv2ZNasWdx7770sWrSIjz/+mMOHD9OqVatKf0G1BskEa59COrKQ5BJXYnzGEXM+i/yMy6q3UqWifkhrgjuG06Rj56su/gKBQCAQCG6P83nniUiIYFP8Js7mlGVVyzK9TimYtklGqzMR7+fJKS8XXH39eOiLH7hQkMiC0wtYG7uWEmMJYPYrmdB8AmMbDsOpSL6+iFOW5XRH5WI3IUwoHR3r5A2TVFp6c2JhVlaZIbiMwtalvBhW9lNp547C3gOF6sblYwq1EaW9AqWzBrWHHRpfFzT1XM1imZsWhebWRSCz6FdcweuoWPyU8vJu+RxKZ+erhc4yIbS8IOqJ0qEaSrBOroLlDyL7deBsq7fZ+sccivNyAWjdbxA9Jz6EraNoxHS3YijVs/fPJRz8ayWSyYSNnR097n+QsAH3AHB8awQ7Fv6GvqgIhUJJ+3tH0nXMRDQ3yEKtCcgmE7r4C6Qfjib9TBpZKSXkFqnJV3lguKL5ypVoTCU4qwpxd1PgGeCCT2gDvNsGobGr215WpaZSTmeftghhURlRpBalXrWds40zbZxbEXDUgWKdPajUIEmkGhx57ulHaVbPxQrRC6qbKhW+OnfuTMeOHfn2228BkCSJBg0a8NRTT/HKK69ctf348eMpKipi3bp1lnVdunShTZs2/Pjjjzd1zromfBl1JST88hjRx04QV+hBienyoEut1dIorD1BHbvQuF0nMQAQCAQCgaCKSchPsIhgp7NP45Ur88Q6E02TFfzbIgCjWoXCX0N20QXsdeCgAw+TLb4mJ+x1ElJ+AbJef2snVShQOjuhcnJG5eKM0skZlbOzeZ2zM0pnZ/Nzzk4onZ1Raur2zU5lI8sSUmEhUn4+pvx8TPkFSAWXlvOR8gsw5ecjF5lQGdSoNM6obd1R27mbf9q6o7ZzQ6m6sWeMyVSMRAmSSo+sNSHbK5CdVMiGUuTiEqSiYqSSEuRiHZJOh1xcgqzTI5ukMrFJCQrFFctK87JCCSguLyuUKG3tUGptUWhtUWq15p82WhQ2WhQ2NihsbFBqbFCobcz7yDLIlPuvuDTylwFJvrx81f+r9y2/bQXPX7mdJJffR5LL/N8UltUKKHt9t/T2CuoyslkYvvIzAiAhI8sSCgWoNCoUSgUKRdkGZf8V11i2PC5L3iz70zKjLPtEKq+z380e/8rHyv8cv4LzyyYTJRkF5KfrKMwzUVSioliyQ69xREJ51Z8dsoTWWIC9ugQnJxPOHmpUNSAjtaoplvTklBaQZSgk21BAjrEI0xVekmqDjEHtgK5MFNTqjfjLdqiroVtpbcS3RQB9J1fcRK+2cSs60S3ltpeWlnLo0CFeffVVyzqlUkn//v2JjIyscJ/IyEief/75cusGDRrE6tWrr3kevV6P/ooBZH5+/q2EWeP5d+Y0jsfkAb4A2Do60aR9J4I6lnVirMBHRCAQCAQCQdUQ4BzAtNbTmNZ6GhfyL7ApYRPLAjcS/M8p2p3N57y3G3KyATfqAWAE0lTm/9gAznfSOEICXa75f8YdvxTBraAAHAEMQAmQZl40AGVVlVqlHQ5qF+zVLjioXXBQO2OvMf90ULugUWpRqexRUVZaoy/7n/Ofc2kAl7L/lYl8xTnLYSr7X5NQgEJ1aak8Nd5xWFCdKBSKqz4jKrB8fjCW11gr4YyVdqRbQwV4YAfYacDrpvoXlH3fyEBmlQVWo9ACbkDja22gARmZs4aL7FNHo9dCHLdmEXA3oT8aD5OtHUX1c0vCV2ZmJiaTCR8fn3LrfXx8OFPWDvy/pKamVrh9aurVKYuXmDVrFu++++6thFaraNxtAOcTFhHUpg3Bgx+gfotWohOjQCAQCAQ1gIbODS0iWGLfRHb+/RsOK3YjoUKt0aJSa0CtRqFSmX2OLi2r1SBml+ssOvToSCeLdJBlZJMJucSI2qTCVrbDDgdsccBW6YidyhFbldl4/1LeiqwoW1KArACQzT8V5hs2uew2/tISssyV/yi3XNE+114uv8d/n6v4eNc+PxXsX9GxpIrjLM7EiVy6NCzBzf4mu38K7loK9Qr2XbBDkhV0aajHUQvmPxol8qUUKllRbtmcX6X8z3aXli+tN28vl62/lKYlW5YvPVfRdkrkS3+8luVrHOOK7cxxXj6/efm/j/+7rCx7PebjmoxqDEYbjCYbTGiQqDudPu8UGfA3eDFQYU+UNo4Cpc7aIdVYlIqaNilSPdTIFhKvvvpquSyx/Px8GjRoYMWIKpfGgyfTpPcIFPZu1g5FIBAIBALBNWjg1ICJ49+G8daORCAQCO4+XICB1g5CUOvoaO0ABDWSWxK+PD09UalUpKWllVuflpaGr69vhfv4+vre0vYAWq0WrfbGngq1FaVSBUL0EggEAoFAIBAIBAKBQCCoUm4pJ9/Gxob27duzZcsWyzpJktiyZQvh4eEV7hMeHl5ue4CIiIhrbi8QCAQCgUAgEAgEAoFAIBBUBrdc6vj8888zdepUOnToQKdOnfjyyy8pKirioYceAmDKlCn4+/sza9YsAJ555hl69erFZ599xtChQ1myZAkHDx5kzpw5lftKBAKBQCAQCAQCgUAgEAgEgiu4ZeFr/PjxZGRk8NZbb5GamkqbNm3YsGGDxcD+woULKK8wd+3atSuLFi3ijTfe4LXXXiM4OJjVq1fTqlWrynsVAoFAIBAIBAKBQCAQCAQCwX9QyLJc4xsI5+fn4+LiQl5eHs7OztYORyAQCAQCgUAgEAgEAoFAYCVuRScSfbcFAoFAIBAIBAKBQCAQCAR1EiF8CQQCgUAgEAgEAoFAIBAI6iRC+BIIBAKBQCAQCAQCgUAgENRJhPAlEAgEAoFAIBAIBAKBQCCokwjhSyAQCAQCgUAgEAgEAoFAUCcRwpdAIBAIBAKBQCAQCAQCgaBOIoQvgUAgEAgEAoFAIBAIBAJBnUQIXwKBQCAQCAQCgUAgEAgEgjqJEL4EAoFAIBAIBAKBQCAQCAR1EiF8CQQCgUAgEAgEAoFAIBAI6iRC+BIIBAKBQCAQCAQCgUAgENRJhPAlEAgEAoFAIBAIBAKBQCCokwjhSyAQCAQCgUAgEAgEAoFAUCcRwpdAIBAIBAKBQCAQCAQCgaBOIoQvgUAgEAgEAoFAIBAIBAJBnUQIXwKBQCAQCAQCgUAgEAgEgjqJ2toB3AyyLAOQn59v5UgEAoFAIBAIBAKBQCAQCATW5JI+dEkvuh61QvgqKCgAoEGDBlaORCAQCAQCgUAgEAgE/9/e/cdEXf9xAH8eJccdP4643YEOUVZrms3NzeY4W0oB9k+Z/drc/FHLGXrl+jH7oRaDllFopFAzy7EaCGG5sB/LyhBsqEv6GMEQGJnpuMsNRQ8VMe/1/aPdfQ/hzjs4j/t8ej62zz93L9/v9+e9p8P3i7uPRETRwOVywWQyBazRSTDtsXHmdrvR09ODxMRE6HS68V5OWJw/fx6TJ0/GyZMnkZSUNN7LoSjHvFComBkKFTNDoWJmKFTMDIWKmaFQMTP/HSICl8uFSZMmISYm8FO8VPGJr5iYGKSnp4/3Mm6IpKQk/oWkoDEvFCpmhkLFzFComBkKFTNDoWJmKFTMzH/D9T7p5cGH2xMRERERERERkSax8UVERERERERERJrExtc40ev1KCgogF6vH++lkAowLxQqZoZCxcxQqJgZChUzQ6FiZihUzAyNRBUPtyciIiIiIiIiIgoVP/FFRERERERERESaxMYXERERERERERFpEhtfRERERERERESkSWx8ERERERERERGRJrHxRUREREREREREmsTGl4+33noLd911FxITE2G1WvHQQw+ho6NjSM3AwADsdjvMZjMSEhLwyCOP4O+///a+/9tvv2Hx4sWYPHkyDAYDpk+fji1btgwZY/fu3cjNzYXFYkFSUhKysrKwd+/e665PRPD6669j4sSJMBgMyMnJQVdX15CaN998EzabDUajEcnJyaPfDAqKFjLz4IMPIiMjA3FxcZg4cSKWLl2Knp6eMewKBaKFzEydOhU6nW7IVVxcPIZdoUDUnpn9+/cPy4vn+uWXX8a4O3QttecFAH799Vfk5uYiOTkZZrMZK1euRH9//xh2hQKJ9szs3r0beXl5MJvN0Ol0OHr06LCa7du3Y/78+UhKSoJOp0NfX9+o9oKCE6nM/Pzzz5g7dy7MZjMMBgOmTZuG0tLS666PZ6boo4XM8Mykbmx8+WhoaIDdbsehQ4fwww8/4MqVK8jLy8OFCxe8Nc8//zy++uor7Nq1Cw0NDejp6cHDDz/sfb+5uRlWqxWVlZVoa2vD+vXr8eqrr6K8vNxb09jYiNzcXHz77bdobm5GdnY2HnjgASiKEnB977zzDrZu3Ypt27bh8OHDiI+Px4IFCzAwMOCtGRwcxGOPPYZVq1aFcWfIHy1kJjs7G7W1tejo6MAXX3yB7u5uPProo2HcJfKlhcwAQFFRERwOh/d69tlnw7RDdC21Z8Zmsw3JisPhwIoVK5CZmYnZs2eHebdI7Xnp6elBTk4ObrvtNhw+fBjfffcd2tra8MQTT4R3o8gr2jNz4cIF3H333Xj77bf91ly8eBH3338/1q1bN4adoGBFKjPx8fF45pln0NjYiPb2dmzYsAEbNmzA9u3bA66PZ6boo4XM8MykckJ+nT59WgBIQ0ODiIj09fXJhAkTZNeuXd6a9vZ2ASAHDx70O87q1aslOzs74Fx33HGHFBYW+n3f7XZLWlqalJSUeF/r6+sTvV4v1dXVw+orKirEZDIFnJPCT82Z8airqxOdTieDg4MB56fwUGNmpkyZIqWlpde7NbpB1JgZX4ODg2KxWKSoqCjg3BQeasvLhx9+KFarVa5eveqtaWlpEQDS1dUV+GYpLKIpM76OHz8uAERRFL819fX1AkDOnj0b1JgUHpHMzKJFi2TJkiV+3+eZSR3UnBkPnpnUhZ/4CuDcuXMAgJSUFAD/dpmvXLmCnJwcb820adOQkZGBgwcPBhzHM8ZI3G43XC5XwJrjx4/D6XQOmdtkMmHOnDkB56bIUntmzpw5g6qqKthsNkyYMMHv2BQ+as1McXExzGYzZs2ahZKSEvzzzz+Bb5TCRq2Z8dizZw96e3vx5JNP+h2Xwkdtebl8+TJiY2MRE/P/f6IaDAYA/36FhW68aMoMqUOkMqMoCpqamjBv3jy/NTwzqYPaM8Mzk/qw8eWH2+3Gc889h7lz5+LOO+8EADidTsTGxg77HnhqaiqcTueI4zQ1NeGzzz7DypUr/c61adMm9Pf34/HHH/db4xk/NTU16LkpstScmZdffhnx8fEwm83466+/UFdX53dcCh+1ZmbNmjWoqalBfX09nn76aWzcuBEvvfRSwHul8FBrZnzt2LEDCxYsQHp6ut9xKTzUmJd7770XTqcTJSUlGBwcxNmzZ/HKK68AABwOR+AbpjGLtsxQ9ItEZtLT06HX6zF79mzY7XasWLHC73p4Zop+as4Mz0zqxcaXH3a7Ha2traipqRn1GK2trVi4cCEKCgqQl5c3Ys3OnTtRWFiI2tpaWK1WAEBVVRUSEhK814EDB0a9BoocNWdm7dq1UBQF33//PW666SYsW7YMIjLq+6DgqDUzL7zwAubPn4+ZM2ciPz8fmzdvRllZGS5fvjzq+6DgqDUzHqdOncLevXvx1FNPjXr9FDw15mXGjBn45JNPsHnzZhiNRqSlpSEzMxOpqalDPgVGN4YaM0PjKxKZOXDgAI4cOYJt27bhvffeQ3V1NQBmRq3UnBmemVRsvL9rGY3sdrukp6fLH3/8MeT1ffv2jfjcgIyMDHn33XeHvNbW1iZWq1XWrVvnd57q6moxGAzy9ddfD3n9/Pnz0tXV5b0uXrwo3d3dIz7X4J577pE1a9YMG5vfV48sLWTG4+TJkwJAmpqaAtwxjZWWMtPa2ioA5NixYwHumMZKC5kpKioSi8XC52FEgBby4nQ6xeVySX9/v8TExEhtbW0Qd06jFY2Z8cVnfEWfSGXG1xtvvCG33367iPDMpEZayIwHz0zqwsaXD7fbLXa7XSZNmiSdnZ3D3vc8dO/zzz/3vnbs2LFhD91rbW0Vq9Uqa9eu9TvXzp07JS4uTr788sug15aWliabNm3yvnbu3Dk+qHGcaSkzHidOnBAAUl9fH9Q8FBotZqayslJiYmLkzJkzQc1DodFKZtxut2RmZsqLL74Y1Ng0OlrJi68dO3aI0WhkM+MGiebM+GLjK3pEMjPXKiwslClTpgRcG89M0UdLmfHgmUld2PjysWrVKjGZTLJ//35xOBzey/c3Tvn5+ZKRkSE//fSTHDlyRLKysiQrK8v7/u+//y4Wi0WWLFkyZIzTp097a6qqquTmm2+W999/f0hNX19fwPUVFxdLcnKy1NXVSUtLiyxcuFAyMzPl0qVL3poTJ06IoihSWFgoCQkJoiiKKIoiLpcrjDtFHmrPzKFDh6SsrEwURZE///xT9u3bJzabTW699VYZGBgI826RiPoz09TUJKWlpXL06FHp7u6WyspKsVgssmzZsjDvFHmoPTMeP/74owCQ9vb2MO0MjUQLeSkrK5Pm5mbp6OiQ8vJyMRgMsmXLljDuEvmK9sz09vaKoijyzTffCACpqakRRVHE4XB4axwOhyiKIh999JEAkMbGRlEURXp7e8O4U+QRqcyUl5fLnj17pLOzUzo7O+Xjjz+WxMREWb9+fcD18cwUfdSeGZ6Z1I+NLx8ARrwqKiq8NZcuXZLVq1fLLbfcIkajURYtWjTkB29BQcGIY/h2mefNmzdizfLlywOuz+12y2uvvSapqami1+vlvvvuk46OjiE1y5cvH3FsdqJvDLVnpqWlRbKzsyUlJUX0er1MnTpV8vPz5dSpU+HaIrqG2jPT3Nwsc+bMEZPJJHFxcTJ9+nTZuHEjf+jfQGrPjMfixYvFZrONdTvoOrSQl6VLl0pKSorExsbKzJkz5dNPPw3H1pAf0Z6ZioqKEf9cQUHBdef3vQcKn0hlZuvWrTJjxgwxGo2SlJQks2bNkg8++ECuXr0acH08M0UftWeGZyb104nwaWxERERERERERKQ9/O9xiIiIiIiIiIhIk9j4IiIiIiIiIiIiTWLji4iIiIiIiIiINImNLyIiIiIiIiIi0iQ2voiIiIiIiIiISJPY+CIiIiIiIiIiIk1i44uIiIiIiIiIiDSJjS8iIiIiIiIiItIkNr6IiIiIiIiIiEiT2PgiIiIiIiIiIiJNYuOLiIiIiIiIiIg06X/4A5HKvQFZKAAAAABJRU5ErkJggg==",
-                        "text/plain": [
-                            "<Figure size 1500x700 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "clients = ['connectRN Inc.',\n",
-                "'Hammer Nutrition',\n",
-                "'National Campus and Community Radio Association',\n",
-                "'Portnoy, Messinger, Pearl & Associates, Inc.',\n",
-                "'Safari Energy',\n",
-                "'Starwood Pet Travel',\n",
-                "'Trax Technology Solutions Pte Ltd',\n",
-                "'Uber London Limited (POOL)']\n",
-                "\n",
-                "axes = scaled_df.T.plot(rot=0, figsize=(15,7), y=clients)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "f49ea1e4",
-            "metadata": {},
-            "source": []
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 215,
-            "id": "dd4904c4",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "\n",
-                            "The average percentage decrease in values for each row can be calculated by taking the difference between the maximum and minimum values for each row and dividing it by the maximum value. This will give the average percentage decrease in values for each row."
-                        ],
-                        "text/plain": [
-                            "<IPython.core.display.HTML object>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "scaled_df.sketch.ask(\"What is the average percentage decrease in values for each row?\")"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 245,
-            "id": "d067aa68",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/plain": [
-                            "<Axes: >"
-                        ]
-                    },
-                    "execution_count": 245,
-                    "metadata": {},
-                    "output_type": "execute_result"
-                },
-                {
-                    "data": {
-                        "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAdtUlEQVR4nO3df5DV9X3v8Re7LIurQuIlLIqbYrUVvRKocCEkJpYZfjTm2jIZ71DNqKGJnSTmjnFTazZVKHUqaRIZOjckTGyYtLZWWsfajhIC2YiaKwwJlozeBlONBAtlhXjD0V2yHHb3/pHr9nKBuIdfH3Z5PGacnfPh+z3nvTvz3fP0fL97zrC+vr6+AAAUUld6AADgzCZGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgqOGlBxiI3t7e7Nq1K+eee26GDRtWehwAYAD6+vry+uuv54ILLkhd3dFf/xgUMbJr1660tLSUHgMAOAavvPJKLrzwwqP++6CIkXPPPTfJL76ZUaNGFZ4GOJGq1WrWrVuXuXPnpqGhofQ4wAlUqVTS0tLS/zx+NIMiRt48NTNq1CgxAkNMtVpNU1NTRo0aJUZgiHqrSyxcwAoAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECFNPT05Mnn3wyTz31VJ588sn09PSUHgkooOYYeeqpp3LttdfmggsuyLBhw/Loo4++5T4bNmzIlVdemcbGxlxyySX5xje+cQyjAkPJI488kksuuSRz5szJsmXLMmfOnFxyySV55JFHSo8GnGI1x0hnZ2cmT56cFStWDGj7l19+OR/84Acza9asbN26NZ/+9KfzsY99LN/61rdqHhYYGh555JFcd911mTRpUp5++un87d/+bZ5++ulMmjQp1113nSCBM8ywvr6+vmPeediw/MM//EPmz59/1G3uvPPOPP7443n++ef71373d383P/vZz7J27doBPU6lUsno0aOzb98+n00Dg1xPT08uueSSTJo0KY8++mh6enqyZs2aXHPNNamvr8/8+fPz/PPP51//9V9TX19felzgOAz0+fukf1Dexo0bM3v27EPW5s2bl09/+tNH3ae7uzvd3d39tyuVSpJffKBWtVo9KXMCp8aTTz6Z7du354EHHkhPT0//Mf3m1zvuuCPvf//788QTT+Tqq68uOSpwnAb6nH3SY2T37t1pbm4+ZK25uTmVSiX79+/PWWedddg+S5cuzZIlSw5bX7duXZqamk7arMDJ99RTTyVJ/u3f/i0//elP+9fXr1+fJNm/f3+S5Jvf/GY6OztP/YDACdPV1TWg7U56jByLtra2tLa29t+uVCppaWnJ3LlznaaBQe7ss8/OsmXLcuGFF2bGjBmpVqtZv3595syZk4aGhmzatClJ8oEPfMArIzDIvXlm462c9BgZN25cOjo6Dlnr6OjIqFGjjviqSJI0NjamsbHxsPWGhoY0NDSclDmBU2PWrFmZMGFCvvCFLxzy13gNDQ2pr6/PF7/4xVx00UWZNWuWa0ZgkBvoc/ZJf5+RmTNnpr29/ZC19evXZ+bMmSf7oYHTUH19fe6777489thjmT9/fjZt2pT9+/dn06ZNmT9/fh577LF86UtfEiJwBqn5lZE33ngjL774Yv/tl19+OVu3bs15552Xd77znWlra8vOnTvzV3/1V0mSj3/84/nyl7+cP/zDP8zv/d7v5Tvf+U7+7u/+Lo8//viJ+y6AQeVDH/pQHn744XzmM5/J+9///v71iy66KA8//HA+9KEPFZwOONVq/tPeDRs2ZNasWYet33zzzfnGN76Rj3zkI9m+fXs2bNhwyD633357/uVf/iUXXnhh7r777nzkIx8Z8GP6014Ymnp6evLEE0/km9/8Zj7wgQ84NQNDzECfv4/rfUZOFTECQ1e1Wu1/nxHXhMHQMtDnb59NAwAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFHVMMbJixYpMmDAhI0eOzIwZM7J58+Zfuv3y5ctz6aWX5qyzzkpLS0tuv/32/PznPz+mgQGAoaXmGFm9enVaW1uzePHiPPvss5k8eXLmzZuXV1999YjbP/jgg/nsZz+bxYsX54c//GG+/vWvZ/Xq1fnc5z533MMDAINfzTGybNmy3HLLLVm4cGEuv/zyrFy5Mk1NTVm1atURt3/mmWfy3ve+NzfccEMmTJiQuXPn5vrrr3/LV1MAgDPD8Fo2PnDgQLZs2ZK2trb+tbq6usyePTsbN2484j7vec978td//dfZvHlzpk+fnh//+MdZs2ZNbrzxxqM+Tnd3d7q7u/tvVyqVJEm1Wk21Wq1lZOA09+Yx7diGoWegx3VNMbJ379709PSkubn5kPXm5uZs27btiPvccMMN2bt3b6666qr09fXl4MGD+fjHP/5LT9MsXbo0S5YsOWx93bp1aWpqqmVkYJBYv3596RGAE6yrq2tA29UUI8diw4YNuffee/OVr3wlM2bMyIsvvpjbbrst99xzT+6+++4j7tPW1pbW1tb+25VKJS0tLZk7d25GjRp1skcGTqFqtZr169dnzpw5aWhoKD0OcAK9eWbjrdQUI2PGjEl9fX06OjoOWe/o6Mi4ceOOuM/dd9+dG2+8MR/72MeSJJMmTUpnZ2d+//d/P3/0R3+UurrDL1tpbGxMY2PjYesNDQ1+WcEQ5fiGoWegx3RNF7COGDEiU6dOTXt7e/9ab29v2tvbM3PmzCPu09XVdVhw1NfXJ0n6+vpqeXgAYAiq+TRNa2trbr755kybNi3Tp0/P8uXL09nZmYULFyZJbrrppowfPz5Lly5Nklx77bVZtmxZfuM3fqP/NM3dd9+da6+9tj9KAIAzV80xsmDBguzZsyeLFi3K7t27M2XKlKxdu7b/otYdO3Yc8krIXXfdlWHDhuWuu+7Kzp078453vCPXXntt/vRP//TEfRcAwKA1rG8QnCupVCoZPXp09u3b5wJWGGKq1WrWrFmTa665xjUjMMQM9PnbZ9MAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAooaXHgAYfLq6urJt27YTcl9v7O/OM8+9lLeP+X7OOavxuO9v4sSJaWpqOgGTAaeKGAFqtm3btkydOvWE3ucXTtD9bNmyJVdeeeUJujfgVBAjQM0mTpyYLVu2nJD7euHff5bWv38uy/7bpFx6/tuO+/4mTpx4/EMBp5QYAWrW1NR0wl59qPvJT9P49P5cdsXkTPmV/3RC7hMYXI7pAtYVK1ZkwoQJGTlyZGbMmJHNmzf/0u1/9rOf5dZbb83555+fxsbG/Pqv/3rWrFlzTAMDAENLza+MrF69Oq2trVm5cmVmzJiR5cuXZ968eXnhhRcyduzYw7Y/cOBA5syZk7Fjx+bhhx/O+PHj85Of/CRve9vbTsT8AMAgV3OMLFu2LLfccksWLlyYJFm5cmUef/zxrFq1Kp/97GcP237VqlV57bXX8swzz6ShoSFJMmHChOObGgAYMmqKkQMHDmTLli1pa2vrX6urq8vs2bOzcePGI+7zT//0T5k5c2ZuvfXW/OM//mPe8Y535IYbbsidd96Z+vr6I+7T3d2d7u7u/tuVSiVJUq1WU61WaxkZOM0dPHiw/6vjG4aWgR7TNcXI3r1709PTk+bm5kPWm5ubj/qeAz/+8Y/zne98Jx/+8IezZs2avPjii/nkJz+ZarWaxYsXH3GfpUuXZsmSJYetr1u3zvsHwBDzyhtJMjybNm3KzudLTwOcSF1dXQPa7qT/NU1vb2/Gjh2br33ta6mvr8/UqVOzc+fOfPGLXzxqjLS1taW1tbX/dqVSSUtLS+bOnZtRo0ad7JGBU+gHO15Lnvt+3v3ud2fyO88rPQ5wAr15ZuOt1BQjY8aMSX19fTo6Og5Z7+joyLhx4464z/nnn5+GhoZDTslcdtll2b17dw4cOJARI0Yctk9jY2MaGw9/J8aGhob+606AoWH48OH9Xx3fMLQM9Jiu6U97R4wYkalTp6a9vb1/rbe3N+3t7Zk5c+YR93nve9+bF198Mb29vf1rP/rRj3L++ecfMUQAgDNLze8z0tramvvvvz9/+Zd/mR/+8If5xCc+kc7Ozv6/rrnpppsOucD1E5/4RF577bXcdttt+dGPfpTHH3889957b2699dYT910AAINWzdeMLFiwIHv27MmiRYuye/fuTJkyJWvXru2/qHXHjh2pq/uPxmlpacm3vvWt3H777XnXu96V8ePH57bbbsudd9554r4LAGDQGtbX19dXeoi3UqlUMnr06Ozbt88FrDDEbP3JTzP/q5vy6Cfe7e3gYYgZ6PP3Mb0dPADAiSJGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgqGOKkRUrVmTChAkZOXJkZsyYkc2bNw9ov4ceeijDhg3L/Pnzj+VhAYAhqOYYWb16dVpbW7N48eI8++yzmTx5cubNm5dXX331l+63ffv2/MEf/EHe9773HfOwAMDQU3OMLFu2LLfccksWLlyYyy+/PCtXrkxTU1NWrVp11H16enry4Q9/OEuWLMmv/uqvHtfAAMDQMryWjQ8cOJAtW7akra2tf62uri6zZ8/Oxo0bj7rfn/zJn2Ts2LH56Ec/mqeffvotH6e7uzvd3d39tyuVSpKkWq2mWq3WMjJwmjt48GD/V8c3DC0DPaZripG9e/emp6cnzc3Nh6w3Nzdn27ZtR9znu9/9br7+9a9n69atA36cpUuXZsmSJYetr1u3Lk1NTbWMDJzmXnkjSYZn06ZN2fl86WmAE6mrq2tA29UUI7V6/fXXc+ONN+b+++/PmDFjBrxfW1tbWltb+29XKpW0tLRk7ty5GTVq1MkYFSjkBzteS577ft797ndn8jvPKz0OcAK9eWbjrdQUI2PGjEl9fX06OjoOWe/o6Mi4ceMO2/6ll17K9u3bc+211/av9fb2/uKBhw/PCy+8kIsvvviw/RobG9PY2HjYekNDQxoaGmoZGTjNDR8+vP+r4xuGloEe0zVdwDpixIhMnTo17e3t/Wu9vb1pb2/PzJkzD9t+4sSJee6557J169b+/377t387s2bNytatW9PS0lLLwwMAQ1DNp2laW1tz8803Z9q0aZk+fXqWL1+ezs7OLFy4MEly0003Zfz48Vm6dGlGjhyZK6644pD93/a2tyXJYesAwJmp5hhZsGBB9uzZk0WLFmX37t2ZMmVK1q5d239R644dO1JX541d4XT18t7OdHYfLD1Gv5f2dPZ/ffOUzeng7MbhuWjM2aXHgDPCsL6+vr7SQ7yVSqWS0aNHZ9++fS5ghePw8t7OzPrShtJjDBpP/MFvChI4DgN9/j59/jcEOOnefEVk+YIpuWTsOYWn+YXO/d15bMPG/NffnJmzzzr8wvUSXnz1jXx69dbT6hUkGMrECJyBLhl7Tq4YP7r0GEl+8aZIu9+RXPkrb/fXNHCGcnEHAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoanjpAYBTp7vn56kbuTMvV15I3chzSo+TJDl48GB2HdyVH772wwwffnr8Snq58kbqRu5Md8/Pk4wuPQ4MeafHkQ+cErs6f5KzL/of+dzm0pMc7itrv1J6hEOcfVGyq3NKpqa59Cgw5IkROINccPavpPPl/54/XzAlF489fV4Z+Z/f/Z9571XvPW1eGXnp1Tdy2+qtuWDWr5QeBc4Ip8eRD5wSjfUj0/vz8blo1KW5/D+dHqcfqtVqXh7+ci4777I0NDSUHidJ0vvzfen9+Z401o8sPQqcEVzACgAUJUYAgKLECABQlBgBAIoSIwBAUWIEACjqmGJkxYoVmTBhQkaOHJkZM2Zk8+ajv4PS/fffn/e97315+9vfnre//e2ZPXv2L90eADiz1Bwjq1evTmtraxYvXpxnn302kydPzrx58/Lqq68ecfsNGzbk+uuvzxNPPJGNGzempaUlc+fOzc6dO497eABg8Ks5RpYtW5ZbbrklCxcuzOWXX56VK1emqakpq1atOuL2f/M3f5NPfvKTmTJlSiZOnJi/+Iu/SG9vb9rb2497eABg8KvpHVgPHDiQLVu2pK2trX+trq4us2fPzsaNGwd0H11dXalWqznvvPOOuk13d3e6u7v7b1cqlSS/eKfGarVay8jA/+PgwYP9X0+XY+nNOU6XeZLT8+cEg9FAj5+aYmTv3r3p6elJc/OhHxzV3Nycbdu2Deg+7rzzzlxwwQWZPXv2UbdZunRplixZctj6unXr0tTUVMvIwP/jlTeSZHi++93v5ienx0fT9Fu/fn3pEfqdzj8nGEy6uroGtN0p/Wyaz3/+83nooYeyYcOGjBx59M98aGtrS2tra//tSqXSf63JqFGjTsWoMCT9r12VfOm5Tbnqqqvyny84PY6larWa9evXZ86cOafNZ9Ocjj8nGIzePLPxVmqKkTFjxqS+vj4dHR2HrHd0dGTcuHG/dN8vfelL+fznP59vf/vbede73vVLt21sbExjY+Nh6w0NDafNLysYjN78VNzhw4efdsfS6XR8n84/JxhMBnr81HQB64gRIzJ16tRDLj5982LUmTNnHnW/L3zhC7nnnnuydu3aTJs2rZaHBACGuJpP07S2tubmm2/OtGnTMn369CxfvjydnZ1ZuHBhkuSmm27K+PHjs3Tp0iTJn/3Zn2XRokV58MEHM2HChOzevTtJcs455+Scc5yMBYAzXc0xsmDBguzZsyeLFi3K7t27M2XKlKxdu7b/otYdO3akru4/XnD56le/mgMHDuS666475H4WL16cP/7jPz6+6QGAQe+YLmD91Kc+lU996lNH/LcNGzYccnv79u3H8hAAwBnCZ9MAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQ1vPQAwKmzv9qTJHl+577Ck/yHzv3d+f6eZNxP/nfOPqux9DhJkhdffaP0CHBGESNwBnnp/z7JfvaR5wpP8v8bngde/F7pIQ5zdqNfkXAqONLgDDL3P49Lklw89pyc1VBfeJpfeOHf9+UzDz+X+66blEvPH116nH5nNw7PRWPOLj0GnBHECJxBzjt7RH53+jtLj3GIgwcPJkkufsfZuWL86RMjwKnjAlYAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKAoMQIAFCVGAICixAgAUJQYAQCKEiMAQFFiBAAoSowAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoKhjipEVK1ZkwoQJGTlyZGbMmJHNmzf/0u3//u//PhMnTszIkSMzadKkrFmz5piGBQCGnppjZPXq1Wltbc3ixYvz7LPPZvLkyZk3b15effXVI27/zDPP5Prrr89HP/rR/PM//3Pmz5+f+fPn5/nnnz/u4QGAwa/mGFm2bFluueWWLFy4MJdffnlWrlyZpqamrFq16ojb//mf/3l+67d+K3fccUcuu+yy3HPPPbnyyivz5S9/+biHBwAGv+G1bHzgwIFs2bIlbW1t/Wt1dXWZPXt2Nm7ceMR9Nm7cmNbW1kPW5s2bl0cfffSoj9Pd3Z3u7u7+25VKJUlSrVZTrVZrGRk4Cbq6uvLCCy+ckPv60b/vS/fuF/P81hE50DH6uO/v0ksvTVNT0wmYDDheA33OrilG9u7dm56enjQ3Nx+y3tzcnG3bth1xn927dx9x+927dx/1cZYuXZolS5Yctr5u3Tq/ZOA08NJLL+Uzn/nMCb3PG//yxNzPfffdl4svvvjE3BlwXLq6uga0XU0xcqq0tbUd8mpKpVJJS0tL5s6dm1GjRhWcDEh+8QvmqquuOiH39cb+7nzr6e9l3vv+S845q/G4788rI3D6ePPMxlupKUbGjBmT+vr6dHR0HLLe0dGRcePGHXGfcePG1bR9kjQ2Nqax8fBfSg0NDWloaKhlZOAkGD16dKZPn35C7qtareb1n72W973n3Y5vGGIGekzXdAHriBEjMnXq1LS3t/ev9fb2pr29PTNnzjziPjNnzjxk+yRZv379UbcHAM4sNZ+maW1tzc0335xp06Zl+vTpWb58eTo7O7Nw4cIkyU033ZTx48dn6dKlSZLbbrstV199de6777588IMfzEMPPZTvf//7+drXvnZivxMAYFCqOUYWLFiQPXv2ZNGiRdm9e3emTJmStWvX9l+kumPHjtTV/ccLLu95z3vy4IMP5q677srnPve5/Nqv/VoeffTRXHHFFSfuuwAABq1hfX19faWHeCuVSiWjR4/Ovn37XMAKQ0y1Ws2aNWtyzTXXuGYEhpiBPn/7bBoAoCgxAgAUJUYAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkRAKComt8OvoQ33yR2oB9FDAwe1Wo1XV1dqVQq3oEVhpg3n7ff6s3eB0WMvP7660mSlpaWwpMAALV6/fXXM3r06KP++6D4bJre3t7s2rUr5557boYNG1Z6HOAEqlQqaWlpySuvvOKzp2CI6evry+uvv54LLrjgkA/R/f8NihgBhi4fhAm4gBUAKEqMAABFiRGgqMbGxixevDiNjY2lRwEKcc0IAFCUV0YAgKLECABQlBgBAIoSIwBAUWIEAChKjAAARYkR4JTbs2dPxo0bl3vvvbd/7ZlnnsmIESPS3t5ecDKgBO8zAhSxZs2azJ8/P88880wuvfTSTJkyJb/zO7+TZcuWlR4NOMXECFDMrbfemm9/+9uZNm1annvuuXzve9/zTqxwBhIjQDH79+/PFVdckVdeeSVbtmzJpEmTSo8EFOCaEaCYl156Kbt27Upvb2+2b99eehygEK+MAEUcOHAg06dPz5QpU3LppZdm+fLlee655zJ27NjSowGnmBgBirjjjjvy8MMP5wc/+EHOOeecXH311Rk9enQee+yx0qMBp5jTNMApt2HDhixfvjwPPPBARo0albq6ujzwwAN5+umn89WvfrX0eMAp5pURAKAor4wAAEWJEQCgKDECABQlRgCAosQIAFCUGAEAihIjAEBRYgQAKEqMAABFiREAoCgxAgAUJUYAgKL+D3i+ruNmOtnsAAAAAElFTkSuQmCC",
-                        "text/plain": [
-                            "<Figure size 640x480 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "customer = scaled_df.loc['Kinetica']\n",
-                "pd.plotting.boxplot(customer, column=['2022-01', '2022-02', '2022-03', '2022-04'])"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 237,
-            "id": "ed0635ed",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "image/png": 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",
-                        "text/plain": [
-                            "<Figure size 640x480 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "axes = pd.plotting.andrews_curves(scaled_df,  '2022-04')\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "67c4ad82",
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        }
-    ],
-    "metadata": {
-        "kernelspec": {
-            "display_name": "Python 3 (ipykernel)",
-            "language": "python",
-            "name": "python3"
-        },
-        "language_info": {
-            "codemirror_mode": {
-                "name": "ipython",
-                "version": 3
-            },
-            "file_extension": ".py",
-            "mimetype": "text/x-python",
-            "name": "python",
-            "nbconvert_exporter": "python",
-            "pygments_lexer": "ipython3",
-            "version": "3.11.1"
-        }
-    },
-    "nbformat": 4,
-    "nbformat_minor": 5
-}
diff --git a/Scripts/Jupyter/Untitled.ipynb b/Scripts/Jupyter/Untitled.ipynb
deleted file mode 100644
index 8d191bf9..00000000
--- a/Scripts/Jupyter/Untitled.ipynb
+++ /dev/null
@@ -1,992 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 144,
-   "id": "59e7fd1c-b4a6-40b6-9d14-b471cabcdcc5",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import sketch\n",
-    "import pandas as pd\n",
-    "import os\n",
-    "\n",
-    "os.environ['SKETCH_MAX_COLUMNS'] = '40'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 155,
-   "id": "ec1df080-81d8-4e93-8fe8-6893026af6df",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "cust_data = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 156,
-   "id": "3c724cbb-74a9-4727-8826-ebf58afa29ad",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OrgID</th>\n",
-       "      <th>Organization</th>\n",
-       "      <th>Churn Date</th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30867753</td>\n",
-       "      <td>Aquent</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
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-       "      <td>39</td>\n",
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-       "      <td>24.0</td>\n",
-       "      <td>26</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>33375202</td>\n",
-       "      <td>BioLife Solutions, Inc.</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867495</td>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>32999202</td>\n",
-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>10,362</td>\n",
-       "      <td>7,890</td>\n",
-       "      <td>7,272</td>\n",
-       "      <td>8,177</td>\n",
-       "      <td>8,468</td>\n",
-       "      <td>7,524</td>\n",
-       "      <td>8,509</td>\n",
-       "      <td>5,638</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30867752</td>\n",
-       "      <td>Casio America Inc</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      OrgID                     Organization Churn Date 2022-01 2022-02   \n",
-       "0  30867753                           Aquent    2023-04      58      38  \\\n",
-       "1  33375202          BioLife Solutions, Inc.    2023-04      11       7   \n",
-       "2  30867495         ZyXel Communications Inc    2023-04       1       1   \n",
-       "3  32999202  BrightLine Eating Solutions LLC    2023-03  10,362   7,890   \n",
-       "4  30867752                Casio America Inc    2023-03     NaN     NaN   \n",
-       "\n",
-       "  2022-03 2022-04 2022-05 2022-06 2022-07 2022-08  2022-09  2022-10  2022-11   \n",
-       "0      50      50      39      36      46      46     43.0     27.0     24.0  \\\n",
-       "1       4      11       4     NaN     NaN     NaN      NaN      NaN      NaN   \n",
-       "2       2       1       2       4       2       2      1.0      NaN      NaN   \n",
-       "3   7,272   8,177   8,468   7,524   8,509   5,638    581.0      NaN      NaN   \n",
-       "4     NaN     NaN     NaN       1     NaN     NaN      NaN      NaN      NaN   \n",
-       "\n",
-       "  2022-12 2023-01  2023-02  2023-03  2023-04  \n",
-       "0      26      22      8.0     10.0      2.0  \n",
-       "1     NaN     NaN      NaN      NaN      NaN  \n",
-       "2     NaN     NaN      1.0      1.0      NaN  \n",
-       "3     NaN     NaN      NaN      NaN      NaN  \n",
-       "4     NaN     NaN      NaN      NaN      NaN  "
-      ]
-     },
-     "execution_count": 156,
-     "metadata": {},
-     "output_type": "execute_result"
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-    "cust_data.head(5)"
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-     "data": {
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-       "<div style=\"display:flex;flex-direction:row;justify-content:space-between;\">\n",
-       "                <pre style=\"width: 100%; white-space: pre-wrap;\" id=\"99e754d9-60e7-400c-8728-3208219bc9ac\">\n",
-       "cust_data.fillna(0, inplace=True)\n",
-       "</pre>\n",
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-    "cust_data.sketch.howto(\"Convert all NaN values to 0\")"
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-   "execution_count": 168,
-   "id": "d659966c-830c-4f68-aa2a-ff8beb460177",
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-    "cust_data.fillna(0, inplace=True)"
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-   "cell_type": "code",
-   "execution_count": 169,
-   "id": "30f91b34-32a1-41da-9303-2da779c6492f",
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-       "      <td>BioLife Solutions, Inc.</td>\n",
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-       "      <td>0.0</td>\n",
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-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
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-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>10362</td>\n",
-       "      <td>7890</td>\n",
-       "      <td>7272</td>\n",
-       "      <td>8177</td>\n",
-       "      <td>8468</td>\n",
-       "      <td>7524</td>\n",
-       "      <td>8509</td>\n",
-       "      <td>5638</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Casio America Inc</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
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-       "</table>\n",
-       "</div>"
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-      "text/plain": [
-       "                      Organization 2022-01 2022-02 2022-03 2022-04 2022-05   \n",
-       "0                           Aquent      58      38      50      50      39  \\\n",
-       "1          BioLife Solutions, Inc.      11       7       4      11       4   \n",
-       "2         ZyXel Communications Inc       1       1       2       1       2   \n",
-       "3  BrightLine Eating Solutions LLC   10362    7890    7272    8177    8468   \n",
-       "4                Casio America Inc       0       0       0       0       0   \n",
-       "\n",
-       "  2022-06 2022-07 2022-08  2022-09  2022-10  2022-11 2022-12 2023-01  2023-02   \n",
-       "0      36      46      46     43.0     27.0     24.0      26      22      8.0  \\\n",
-       "1       0       0       0      0.0      0.0      0.0       0       0      0.0   \n",
-       "2       4       2       2      1.0      0.0      0.0       0       0      1.0   \n",
-       "3    7524    8509    5638    581.0      0.0      0.0       0       0      0.0   \n",
-       "4       1       0       0      0.0      0.0      0.0       0       0      0.0   \n",
-       "\n",
-       "   2023-03  2023-04  \n",
-       "0     10.0      2.0  \n",
-       "1      0.0      0.0  \n",
-       "2      1.0      0.0  \n",
-       "3      0.0      0.0  \n",
-       "4      0.0      0.0  "
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-     },
-     "execution_count": 169,
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-   "source": [
-    "cust_data.head(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 160,
-   "id": "09aa7041-ade3-43a5-b7f2-477f1dd734f1",
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-       "                <pre style=\"width: 100%; white-space: pre-wrap;\" id=\"a1d0e0af-9a67-4883-9d7f-9ab80ac39bb1\">\n",
-       "# Remove the OrgID and Churn Date columns\n",
-       "cust_data = cust_data.drop(columns=['OrgID', 'Churn Date'])\n",
-       "</pre>\n",
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-    "cust_data.sketch.howto(\"Remove the OrgID and Churn Date columns\")"
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-  },
-  {
-   "cell_type": "code",
-   "execution_count": 173,
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>BioLife Solutions, Inc.</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>10362</td>\n",
-       "      <td>7890</td>\n",
-       "      <td>7272</td>\n",
-       "      <td>8177</td>\n",
-       "      <td>8468</td>\n",
-       "      <td>7524</td>\n",
-       "      <td>8509</td>\n",
-       "      <td>5638</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Casio America Inc</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>Riviera Partners LLC</td>\n",
-       "      <td>81</td>\n",
-       "      <td>19</td>\n",
-       "      <td>51</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "      <td>32</td>\n",
-       "      <td>79</td>\n",
-       "      <td>68</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>23.0</td>\n",
-       "      <td>33.0</td>\n",
-       "      <td>25</td>\n",
-       "      <td>75</td>\n",
-       "      <td>71.0</td>\n",
-       "      <td>29.0</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>Viveve</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>19</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>connectRN Inc.</td>\n",
-       "      <td>386</td>\n",
-       "      <td>378</td>\n",
-       "      <td>396</td>\n",
-       "      <td>732</td>\n",
-       "      <td>947</td>\n",
-       "      <td>762</td>\n",
-       "      <td>1203</td>\n",
-       "      <td>889</td>\n",
-       "      <td>438.0</td>\n",
-       "      <td>178.0</td>\n",
-       "      <td>115.0</td>\n",
-       "      <td>214</td>\n",
-       "      <td>92</td>\n",
-       "      <td>165.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>Hammer Nutrition</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>7</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>National Campus and Community Radio Association</td>\n",
-       "      <td>63</td>\n",
-       "      <td>15</td>\n",
-       "      <td>10</td>\n",
-       "      <td>4</td>\n",
-       "      <td>8</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>Portnoy, Messinger, Pearl &amp; Associates, Inc.</td>\n",
-       "      <td>28</td>\n",
-       "      <td>27</td>\n",
-       "      <td>79</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>Safari Energy</td>\n",
-       "      <td>2</td>\n",
-       "      <td>37</td>\n",
-       "      <td>19</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>38</td>\n",
-       "      <td>24</td>\n",
-       "      <td>6</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>7</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>Starwood Pet Travel</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>22</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>Trax Technology Solutions Pte Ltd</td>\n",
-       "      <td>381</td>\n",
-       "      <td>677</td>\n",
-       "      <td>583</td>\n",
-       "      <td>671</td>\n",
-       "      <td>515</td>\n",
-       "      <td>380</td>\n",
-       "      <td>181</td>\n",
-       "      <td>449</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>Uber London Limited (POOL)</td>\n",
-       "      <td>721</td>\n",
-       "      <td>775</td>\n",
-       "      <td>825</td>\n",
-       "      <td>606</td>\n",
-       "      <td>578</td>\n",
-       "      <td>501</td>\n",
-       "      <td>497</td>\n",
-       "      <td>543</td>\n",
-       "      <td>628.0</td>\n",
-       "      <td>505.0</td>\n",
-       "      <td>650.0</td>\n",
-       "      <td>1,270</td>\n",
-       "      <td>1,957</td>\n",
-       "      <td>190.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                       Organization 2022-01 2022-02 2022-03   \n",
-       "0                                            Aquent      58      38      50  \\\n",
-       "1                           BioLife Solutions, Inc.      11       7       4   \n",
-       "2                          ZyXel Communications Inc       1       1       2   \n",
-       "3                   BrightLine Eating Solutions LLC   10362    7890    7272   \n",
-       "4                                 Casio America Inc       0       0       0   \n",
-       "5                              Riviera Partners LLC      81      19      51   \n",
-       "6                                            Viveve       0       0       0   \n",
-       "7                                    connectRN Inc.     386     378     396   \n",
-       "8                                  Hammer Nutrition       0       1       1   \n",
-       "9   National Campus and Community Radio Association      63      15      10   \n",
-       "10     Portnoy, Messinger, Pearl & Associates, Inc.      28      27      79   \n",
-       "11                                    Safari Energy       2      37      19   \n",
-       "12                              Starwood Pet Travel       0       1       4   \n",
-       "13                Trax Technology Solutions Pte Ltd     381     677     583   \n",
-       "14                       Uber London Limited (POOL)     721     775     825   \n",
-       "\n",
-       "   2022-04 2022-05 2022-06 2022-07 2022-08  2022-09  2022-10  2022-11 2022-12   \n",
-       "0       50      39      36      46      46     43.0     27.0     24.0      26  \\\n",
-       "1       11       4       0       0       0      0.0      0.0      0.0       0   \n",
-       "2        1       2       4       2       2      1.0      0.0      0.0       0   \n",
-       "3     8177    8468    7524    8509    5638    581.0      0.0      0.0       0   \n",
-       "4        0       0       1       0       0      0.0      0.0      0.0       0   \n",
-       "5       26      26      32      79      68     35.0     23.0     33.0      25   \n",
-       "6        0       0       4       1       0      0.0      0.0      0.0      19   \n",
-       "7      732     947     762    1203     889    438.0    178.0    115.0     214   \n",
-       "8        2       7       5       4       5      6.0      6.0      0.0       0   \n",
-       "9        4       8       2       3       0      4.0      4.0      6.0       5   \n",
-       "10      17       1       3       8       0      1.0      0.0      1.0       1   \n",
-       "11       2       1      38      24       6     21.0     35.0     10.0       7   \n",
-       "12      22       2       1       7       0      0.0      0.0      0.0       2   \n",
-       "13     671     515     380     181     449     12.0      0.0      1.0       1   \n",
-       "14     606     578     501     497     543    628.0    505.0    650.0   1,270   \n",
-       "\n",
-       "   2023-01  2023-02  2023-03  2023-04  \n",
-       "0       22      8.0     10.0      2.0  \n",
-       "1        0      0.0      0.0      0.0  \n",
-       "2        0      1.0      1.0      0.0  \n",
-       "3        0      0.0      0.0      0.0  \n",
-       "4        0      0.0      0.0      0.0  \n",
-       "5       75     71.0     29.0      4.0  \n",
-       "6        3      0.0      0.0      0.0  \n",
-       "7       92    165.0      0.0      0.0  \n",
-       "8        0      0.0      0.0      0.0  \n",
-       "9        5      2.0      0.0      0.0  \n",
-       "10       2      0.0      0.0      0.0  \n",
-       "11       1      0.0      0.0      0.0  \n",
-       "12       0      2.0      0.0      0.0  \n",
-       "13       1      0.0      0.0      0.0  \n",
-       "14   1,957    190.0      0.0      0.0  "
-      ]
-     },
-     "execution_count": 173,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cust_data.head(15)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 176,
-   "id": "c13baa2d-428c-4ff4-a2f6-12737819fb9f",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div style=\"display:flex;flex-direction:row;justify-content:space-between;\">\n",
-       "                <pre style=\"width: 100%; white-space: pre-wrap;\" id=\"9569b033-0def-4a83-b056-19fea217d1da\">\n",
-       "# Convert index row, columns 1-17 value to datetime\n",
-       "cust_data.columns = pd.to_datetime(cust_data.columns)\n",
-       "</pre>\n",
-       "                <button style=\"height: fit-content;\" onclick=\"navigator.clipboard.writeText(JSON.parse(atob(`IlxuIyBDb252ZXJ0IGluZGV4IHJvdywgY29sdW1ucyAxLTE3IHZhbHVlIHRvIGRhdGV0aW1lXG5jdXN0X2RhdGEuY29sdW1ucyA9IHBkLnRvX2RhdGV0aW1lKGN1c3RfZGF0YS5jb2x1bW5zKVxuIg==`)))\">Copy</button>\n",
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-       "<IPython.core.display.HTML object>"
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-     "metadata": {},
-     "output_type": "display_data"
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-   ],
-   "source": [
-    "cust_data.sketch.howto(\"Convert index row, columns 1-17 value to datetime\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 179,
-   "id": "c229b344-94c8-4ab1-aa8d-1e15d6dc12bc",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "Length mismatch: Expected axis has 17 elements, new values have 15 elements",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[179], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Convert index row, columns 1-17 value to datetime\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mcust_data\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mto_datetime(cust_data\u001b[38;5;241m.\u001b[39mcolumns[\u001b[38;5;241m1\u001b[39m:\u001b[38;5;241m16\u001b[39m])\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/core/generic.py:6002\u001b[0m, in \u001b[0;36mNDFrame.__setattr__\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m   6000\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m   6001\u001b[0m     \u001b[38;5;28mobject\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__getattribute__\u001b[39m(\u001b[38;5;28mself\u001b[39m, name)\n\u001b[0;32m-> 6002\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mobject\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__setattr__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   6003\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m:\n\u001b[1;32m   6004\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/_libs/properties.pyx:69\u001b[0m, in \u001b[0;36mpandas._libs.properties.AxisProperty.__set__\u001b[0;34m()\u001b[0m\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/core/generic.py:730\u001b[0m, in \u001b[0;36mNDFrame._set_axis\u001b[0;34m(self, axis, labels)\u001b[0m\n\u001b[1;32m    725\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    726\u001b[0m \u001b[38;5;124;03mThis is called from the cython code when we set the `index` attribute\u001b[39;00m\n\u001b[1;32m    727\u001b[0m \u001b[38;5;124;03mdirectly, e.g. `series.index = [1, 2, 3]`.\u001b[39;00m\n\u001b[1;32m    728\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    729\u001b[0m labels \u001b[38;5;241m=\u001b[39m ensure_index(labels)\n\u001b[0;32m--> 730\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    731\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clear_item_cache()\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/core/internals/managers.py:225\u001b[0m, in \u001b[0;36mBaseBlockManager.set_axis\u001b[0;34m(self, axis, new_labels)\u001b[0m\n\u001b[1;32m    223\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mset_axis\u001b[39m(\u001b[38;5;28mself\u001b[39m, axis: AxisInt, new_labels: Index) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    224\u001b[0m     \u001b[38;5;66;03m# Caller is responsible for ensuring we have an Index object.\u001b[39;00m\n\u001b[0;32m--> 225\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_set_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnew_labels\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    226\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes[axis] \u001b[38;5;241m=\u001b[39m new_labels\n",
-      "File \u001b[0;32m~/.pyenv/versions/3.11.1/envs/jupyter/lib/python3.11/site-packages/pandas/core/internals/base.py:70\u001b[0m, in \u001b[0;36mDataManager._validate_set_axis\u001b[0;34m(self, axis, new_labels)\u001b[0m\n\u001b[1;32m     67\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m     69\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m new_len \u001b[38;5;241m!=\u001b[39m old_len:\n\u001b[0;32m---> 70\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m     71\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength mismatch: Expected axis has \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mold_len\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m elements, new \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     72\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvalues have \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnew_len\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m elements\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     73\u001b[0m     )\n",
-      "\u001b[0;31mValueError\u001b[0m: Length mismatch: Expected axis has 17 elements, new values have 15 elements"
-     ]
-    }
-   ],
-   "source": [
-    "# Convert index row, columns 1-17 value to datetime\n",
-    "cust_data.columns = pd.to_datetime(cust_data.columns[1:16])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c574a86b-67a8-4cdd-9cbd-b7461c2f1c8c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Scripts/Jupyter/app_usage.ipynb b/Scripts/Jupyter/app_usage.ipynb
deleted file mode 100644
index 56535225..00000000
--- a/Scripts/Jupyter/app_usage.ipynb
+++ /dev/null
@@ -1,1004 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd \n",
-    "import numpy as np \n",
-    "import seaborn as sns \n",
-    "import matplotlib.pylab as plt \n",
-    "import sketch\n",
-    "plt.style.use('ggplot')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pages = pd.read_csv(\"/Users/normrasmussen/Downloads/app_usage.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(59433, 3)"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pages.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>School Name</th>\n",
-       "      <th>Path</th>\n",
-       "      <th>Mar 13 - Apr 11</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/courses</td>\n",
-       "      <td>25</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/previews</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/account_links</td>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/analytics</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/settings/general/edit</td>\n",
-       "      <td>7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/apps/integrations</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/accounts/general/edit</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/people</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/settings/authentication</td>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>Vivvix University for Ad Intel</td>\n",
-       "      <td>/styling/general/edit</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                       School Name                      Path  Mar 13 - Apr 11\n",
-       "0   Vivvix University for Ad Intel                  /courses               25\n",
-       "1   Vivvix University for Ad Intel                 /previews               16\n",
-       "2   Vivvix University for Ad Intel            /account_links               11\n",
-       "3   Vivvix University for Ad Intel                /analytics                8\n",
-       "4   Vivvix University for Ad Intel    /settings/general/edit                7\n",
-       "5   Vivvix University for Ad Intel        /apps/integrations                4\n",
-       "6   Vivvix University for Ad Intel    /accounts/general/edit                4\n",
-       "7   Vivvix University for Ad Intel                   /people                3\n",
-       "8   Vivvix University for Ad Intel  /settings/authentication                3\n",
-       "9   Vivvix University for Ad Intel     /styling/general/edit                2"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pages.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pages_sum = pd.DataFrame(columns=['Total Views'])\n",
-    "pages_sum['Total Views'] = pages.groupby(by='School Name')['Mar 13 - Apr 11'].sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Total Views</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>School Name</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Vivvix  for Ad Intel</th>\n",
-       "      <td>110</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>'@properties</th>\n",
-       "      <td>322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4 Pillars</th>\n",
-       "      <td>112</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AIIM+</th>\n",
-       "      <td>528</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ASAPP</th>\n",
-       "      <td>153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>| AgencyBloc</th>\n",
-       "      <td>3373</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Académie Évolupharma</th>\n",
-       "      <td>253</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Access</th>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ActiveLearner</th>\n",
-       "      <td>1907</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ad Intel</th>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                       Total Views\n",
-       "School Name                       \n",
-       " Vivvix  for Ad Intel          110\n",
-       "'@properties                   322\n",
-       "4 Pillars                      112\n",
-       "AIIM+                          528\n",
-       "ASAPP                          153\n",
-       " | AgencyBloc                 3373\n",
-       "Académie Évolupharma           253\n",
-       "Access                          11\n",
-       "ActiveLearner                 1907\n",
-       "Ad Intel                         2"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "to_remove = ['Academy', 'academy', 'University', 'university', 'school', 'School', 'Sandbox', 'Knowledge Base']\n",
-    "for item in pages_sum.itertuples(index=True):\n",
-    "    for word in to_remove:\n",
-    "        if word in item[0]:\n",
-    "            less = item[0].replace(word, '')\n",
-    "            pages_sum.rename(index={item[0]:less}, inplace=True)\n",
-    "\n",
-    "pages_sum.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pages_sum.index = pages_sum.index.str.strip()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'Total Views': {'Vivvix  for Ad Intel': 110, \"'@properties\": 322, '4 Pillars': 112, 'AIIM+': 528, 'ASAPP': 153, '| AgencyBloc': 3373, 'Académie Évolupharma': 253, 'Access': 11, 'ActiveLearner': 1907, 'Ad Intel': 765, 'AdCellerant': 5, 'Adkins': 107, 'Agility': 156, 'AgriWebb': 567, 'AgriWebb Brazil': 333, 'Akua Mind Body': 578, 'AlphaSense': 17, 'Altenew': 859, 'Altima Dental': 33, 'American Concrete Pipe Association Learning Center': 2864, 'AnChain.AI': 437, 'AndHealth&#39;s': 2628, 'Andhealth Internal Training': 17, 'Ansley': 116, 'Anthology': 13, 'Anthology Internal': 104, 'Anthology Trial': 418, 'Aquent&#39;s Learning Lab': 16, 'Arrcus': 8, 'Artera': 54, 'Ascend Training by Stenograph': 9, 'AtlasIED': 125, 'Atlassian': 41, 'AutoServe1': 4, 'Autoserve1 New': 1, 'BCNDP Caucus': 26, 'BLVD Mentor Learning Library': 223, 'BNY Mellon OMNI Digital': 364, 'Bartosz&#39;s': 3, 'Bellhop': 118, 'Belmont Farm Nursery': 29, 'BenchSci': 1659, 'Big Ideas Learning': 167, 'Big Ideas Learning  Sandbox': 7, 'BirchStreet': 11, 'BirchStreet Trial': 446, 'Bisla': 402, 'Blacklane Chauffeur Learning': 263, 'Blacklane Dubai Chauffeurs': 272, 'Blacklane Learning &amp; Development': 1913, 'Blackstone Industrial': 42, 'Bolt': 1177, 'BombBomb Studios': 673, 'Bonfire': 19, 'Boon Edam': 164, 'Brand Addition&#39;s': 457, 'Brian&#39;s Starfleet': 3, 'Brighton Science': 1703, 'Bungii Operations': 155, 'CATalyst': 161, 'CHEK Institute': 11138, 'CIBC FirstCaribbean Online and Mobile Banking': 5, 'CIRE': 149, 'CMIC': 200, 'CONCEPT ACADEMY': 468, 'CORE College': 1419, 'CRM Training Courses and Tutorials | Pipedrive Learn': 984, 'CSNews Technology': 1, 'CTAA&#39;s': 1947, 'Canavan Byrne': 1380, 'Capillary': 1473, 'Cappfinity': 108, 'Capstone Scholars Program': 456, 'Cayuse': 99, 'Censis': 1300, 'Channable Internal': 551, 'Channable': 40, 'Chann': 152, 'Chico Electric': 135, 'Cholodecki current': 1, 'Christian': 5, 'Christie&#39;s International Real Estate pl@tform': 273, 'ChurnZero': 41, 'Clay Clerk': 525, 'CloudRadial': 455, 'Cloudticity': 27, 'Cluid Housing': 65, 'Coastal Consulting': 114, 'Cofense': 129, 'Community Fire Prevention': 37, 'Compass': 4327, 'Compass U': 265, 'Competitive Advantage': 48, 'Con-Trol Training System': 816, 'Con-Trol Training System - BambooHR': 179, 'Conlon&#39;s': 598, 'Cook Brother&#39;s Bars': 361, 'Corporate Traveler': 3, 'Curso de Formação': 93, 'CurveBeam': 87, 'DELETE - Airbnb Host Hub': 12, 'DELETE - Airbnb Photography': 13, 'DELETE - BLE Dev': 14, 'DELETE - Bright Line Hub': 24, 'DELETE - Bright Liners Hub': 1020, 'DELETE - Dealerware': 14, 'DELETE - Dynamic Yield': 14, 'DELETE - Gett': 13, 'DELETE - H1 Insights Customer': 21, 'DELETE - H1 Insights Inc': 47, 'DELETE - Happy Culture': 15, 'DELETE - Numerator  for Promotions Intel': 15, 'DELETE - OTHRSource': 16, 'DELETE - PeopleDev': 14, 'DELETE - Pixability&#39;s': 1, 'DELETE - SANDBOX Bright Liners Hub': 28, 'DELETE - The GLAMSQUAD Online Learning Center': 16, 'DELETE - Uber Compliance El Salvador': 14, 'DELETE - Uber Ecuador': 13, 'DELETE - Uber Peru': 19, 'DELETE - Uber Peru Compliance': 14, 'DELETE - Yotpo': 13, 'DV Learning': 601, 'Datawords': 221, 'Dell AMD Learning': 1192, 'Dept Agency': 575, 'Desktop Shipper': 875, 'Devils': 9, 'Dolly': 23, 'DoorDash Shop &amp; Deliver': 10, 'DoorDash&#39;s': 592, 'DoubleVerify': 89, 'Douglas Elliman MyLearning.Elliman.com': 943, 'Doximity Compliance Learning': 27, 'Doximity': 183, 'Dray Alliance': 207, 'EASE': 373, 'EF High  Exchange Year: IEC': 1703, 'EF High  Exchange Year: Staff': 6, 'EF host family resource center': 29, 'EF student learning center': 74, 'ERA Key Realty Services': 66, 'ES&amp;E': 329, 'EXOR &amp; CORVINA': 189, 'ElderSource Ecommerce': 102, 'ElderSource Internal': 16, 'ElderSource Partner': 4, 'Election Protection': 39, 'Embee': 4, 'Encore Healthcare': 290, 'Energy Foundation': 490, 'Engel &amp; Völkers': 566, 'English for Asia': 2270, 'Equip By Equiem': 143, 'Essentium Training Center': 11, 'Everlaw Certification Center': 33, 'Evolve IP': 426, 'Excalibur Data Systems Online Learning': 123, 'FBD Frozen': 27, 'FCA': 1061, 'FCTG Americas': 3474, 'FRSecure': 407, 'Facilis': 308, 'Factorial': 1593, 'Feldman Geospatial Learning Management System': 289, 'FeverBee&#39;s Professional Community Management Courses': 11, 'Figma': 1, 'First Mile&#39;s': 279, 'Flink': 1472, 'Foleon': 1776, 'Football Marketing Asia': 12, 'For The Children': 319, 'Force': 3, 'Formation Planifions pour protégerMC': 46, 'Formation de l&#39;Équipe Trudeau': 50, 'Founder Portal': 3, 'Freshworks': 259, 'Front': 975, 'Futuri': 152, 'G2&#39;s': 293, 'GLAS Agency': 4, 'Garrett Virtual': 376, 'GenTech Associates': 4599, 'GetPixel': 1969, 'Givergy': 146, 'Glassdoor': 1112, 'Global Systems Engineering': 25, 'GoGuardian': 94, 'GomezLee Marketing': 3, 'Grammarly': 15, 'Grow WELL': 907, 'HARDSKILLS': 2338, 'HARDSKILLS-DEMO': 442, 'HELPme': 163, 'HackerRank': 164, 'Hanna': 1440, 'Harri': 609, 'Harri Employee': 8, 'Harri&#39;s  for McDonalds': 2482, 'Harri&#39;s Client Onboarding  (IPC)': 18, 'Harri&#39;s Journey to Success': 412, 'HealthFirst Training': 286, 'Healthiverse': 2492, 'Hello Insight': 1, 'Herrmann Asia Learning Portal': 1681, 'Hinkley': 535, 'Hometime Hub': 184, 'HopSkipDrive Resources': 780, 'Hornbill': 2, 'Horsepower Brands': 2540, 'Houwzer': 7, 'Hubert dykiel&#39;s': 8, 'Humly': 656, 'Hunt Real Estate': 839, 'ISOutsource': 125, 'IceMalta': 148, 'Internal HackerRank': 119, 'Investis Digital': 188, 'Jets Gymnastics': 369, 'Jimmy Brings': 506, 'Jonny davies&#39;s': 3, 'Kadince': 203, 'Keystone RV Company': 114, 'Knox': 90, 'Kovo': 5, 'LJ Hooker': 48, 'LTK': 563, 'Landis Customer': 10, 'Landis Internal': 26, 'Landis': 30, 'LandisU': 30, 'Lash Affair': 56, 'LaunchThat': 263, 'Lawpath': 193, 'Learn.kiwi.com - Learning and Development': 623, 'Learning Lab': 99, 'Levi green&#39;s': 7, 'Library': 69, 'Life House': 109, 'Light Brigade': 302, 'Lighthouse by LJ Hooker Group': 1378, 'Lightspeed': 4, 'LiquidSpace&#39;s': 2, 'Little Harvard': 1, 'LoadUp': 183, 'Lukasz cholodecki&#39;s': 6, 'Luma Health U': 1, 'Luma U': 3459, 'Luminate': 1, 'Luvo': 594, 'MANTA': 13, 'MANTA Hub': 6, 'MASSÉNA Formations': 4009, 'MC Personalization eCampus': 977, 'MaRS Discovery District': 463, 'Magis Center': 2136, 'Malta International Airport | Northpass eLearning Hub': 1084, 'Marble Law': 538, 'Mark43 Institute': 152, 'Mark43': 323, 'MarketScale Creator Community': 499, 'Marketing Pony': 1, 'Marketscale Director&#39;s Chair': 20, 'Marta&#39;s': 133, 'Matt cochran&#39;s': 62, 'Mattr': 31, 'Maven Care Team': 1579, 'Maven Clinic&#39;s': 92, 'MedicalDirector&#39;s': 62, 'Meditech': 8, 'MicroFour': 173, 'Minga': 39, 'Missouri State Employees Retirement System': 1, 'Mizuno': 895, 'Mizuno Running': 195, 'Motrain': 427, 'Murphy Geospatial Northpass Account': 3, 'My Food Bag': 49, 'My Meeting Courses': 767, 'MyAuPairCourses': 103, 'MyEquip By Equiem': 352, 'NCC&#39;s': 15, 'NCC&#39;s Medicare Sales': 518, 'NEMO Safety Training': 255, 'Nana': 270, 'Napa Center': 110, 'Neil Kelly': 256, 'Nest U': 434, 'Netradyne': 1485, 'Network First': 1738, 'Network Q': 867, 'Next Theme Test': 7, 'NextIQ': 122, 'North Capital': 7, 'Northpass Catalog': 28, 'Northpass Product Training': 37, 'Northpass  for Employees': 65, 'Noventiq': 86, 'Ocean': 245, 'Oceana': 26, 'Ogi': 156, 'Oiltanking Training': 847, 'Omnisend': 123, 'OnDemand  by enChoice': 7, 'Onclusive': 230, 'Ontotext': 10, 'Oodrive': 1590, 'OpenSesame': 7, 'Optimize': 24, 'Ornikar': 408, 'Otoqi': 397, 'Outside In': 909, 'OvalEdge': 213, 'Own Solutions and Aplauz': 223, 'PAC': 17, 'PAC -Team Learning': 2, 'PCTEL': 720, 'PICKUP HR': 19, 'PICKUP SOP Instance': 229, 'PICKUP': 14, 'PITM': 147, 'PSC&#39;s Professional Development Platform': 198, 'Pablo &amp; Rusty&#39;s Online Education': 59, 'Pal': 179, 'Papa Internal': 2489, 'Parchment Learn': 394, 'Parting Stone': 3018, 'Path Onboarding': 1040, 'PebblePad': 172, 'People Untapped Online Learning Centre': 697, 'Pepper Content': 344, 'Perchwell': 42, 'Petal Solutions Inc.': 424, 'Phoy phen&#39;s': 2, 'Pipedrive': 236, 'Pipedrive  Sandbox': 70, 'Pipedrive Learn': 5, 'Plan to Protect® On-Line Training': 1153, 'Plan to Protect® dwell Abuse Awareness Training (in partnership with New Apostolic Church Canada)': 14, 'PoolParty': 52, 'Porch': 140, 'Prenda': 818, 'Prism Maritime': 61, 'Procuro': 387, 'Psynapse Education': 32, 'Puls Tech Resource Center': 873, 'Puls Technician Resource Center': 1, 'Quality Built': 226, 'Raptor': 119, 'Real Estate': 1411, 'Recast': 1200, 'ReconArt Studio': 195, 'Red Lion Controls&#39;': 258, 'Remind Learning Center': 11, 'Remind': 3, 'Renaissance': 25, 'Renaissance U': 53, 'Riviera Partners': 66, 'Rob&#39;s': 3, 'Roboflow': 15, 'Robot Bootcamp (Internal)': 433, 'Roosted': 233, 'Rootstrap': 1759, 'Ryan agnello&#39;s': 83, 'Rystad Energy Employee Training Center': 84, 'Rystad Energy': 179, 'Rystad Energy&#39;s Learning Center': 3059, 'S-Docs': 31, 'SIT Online': 140, 'STOPit SEL, Safety, &amp; Wellness Training': 389, 'STOPit Solutions': 185, 'STT Security': 247, 'STUDEX Germany': 4, 'STUDEX Mexico': 3, 'STUDEX Poland': 4, 'STUDEX USA': 517, 'STUDEX United Kingdom': 289, 'Safic&#39;': 105, 'Scenario': 958, 'of Rokt': 410, 'ScreenBeam Learning': 7, 'ScreenBeam&#39;s Global': 6, 'Scrivas': 133, 'Securonix': 1014, 'Securonix Internal': 12, 'Securonix Partner Program': 351, 'Serge': 1369, 'Service Coordination Unlimited': 325, 'Shine Bright Care Training': 37, 'ShipEx&#39;s': 248, 'Shipt Passport': 1034, 'Shopify Certification': 30, 'Shopify GO': 6, 'Shopify Ignite': 12, 'Shopify Partner': 1, 'Showdigs': 1137, 'Sidekick': 249, 'Silvercar': 29, 'SimplrFlex': 97, 'Skan': 263, 'Skin Laundry': 52, 'Skuad Skool': 461, 'Skuid Customer': 3, 'Skuid Skool': 674, 'Smart Start Training Modules': 6, 'SmartPM': 200, 'Solo Certified': 54, 'Solo Internal Training': 399, 'Spark Driver Resources Hub': 1093, 'SpedTrack': 197, 'Splash': 2, 'Spotlight': 1798, 'Spring Point': 249, 'SquareTrade GO': 99, 'Staff Courses': 21, 'StateServ Training': 2103, 'Stenograph': 3416, 'Stenograph Education Network': 16, 'Strategos': 239, 'SubItUp': 13, 'Swift': 843, 'Swift Medical': 57, 'Sword Security': 311, 'TONI&amp;GUY LEARNING HUB': 1066, 'TZA': 47, 'Talent Finder Resource Hub': 53, 'Talkspace': 240, 'Talkspace - Northpass': 1031, 'Talkspace National Practice Provider Training': 46, 'Teach Plus': 142, 'Team Trudeau Training': 23, 'Terminus': 77, 'The CX': 874, 'The Heico Companies': 4, 'The Knowledge | MATTR': 1225, 'The Latimer Group': 92, 'The Recruiter': 1276, 'Tidel&#39;s': 848, 'Tomasz król&#39;s': 100, 'Toni&amp;Guy MVP': 13, 'Toni&amp;Guy Passport': 7, 'Tonkean': 11, 'Total Dealer Compliance': 110, 'Trackforce Valiant': 146, 'Training Center': 3205, 'Training Concepts': 842, 'Trexity': 168, 'Trinity College London: Trinity Teach': 19, 'Tripleseat': 274, 'Turo': 27, 'Turo Learning Hub': 95, 'Turo On-Call': 11, 'UTRS Learning Management System': 111, 'UX Design - Learning Paths': 1, 'UX Design Institute': 3583, 'Universal': 1345, 'Upland CXM': 28, 'Upland Support': 1572, 'Upland': 1138, 'Uptick': 235, 'Ursa Major Training': 1071, 'Venair': 1095, 'Veriff&#39;s': 78, 'Ververica': 119, 'Vision Excellence Institute': 2, 'Viva Wallet': 2365, 'Voigt Smith Innovation': 1, 'Volt': 408, 'Volt-staging': 18, 'Volumental': 912, 'WELL Health Partners': 25, 'Wag!': 15, 'Walmart Luminate&#39;s': 482, 'Walmart Luminate&#39;s  (MIGRATED TO AZURE)': 21, 'Walmart': 29, 'WeTravel  Courses': 111, 'Webdox': 78, 'Whitetail Properties Education Platform': 3604, 'Wild Health': 756, 'Wild Health Education Portal': 620, 'Wiliot': 22, 'Will kozinski&#39;s': 31, 'Williams Sonoma Trial': 9, 'Winchester Carlisle': 213, 'Wingz': 247, 'Women&#39;s Resource Center': 7, 'Yakademy': 1, 'Your Pathway Home': 3, 'ZENOTI': 42, 'ZU EWC': 14, 'ZU Sorbet': 8, 'Zenjob': 406, 'Zenoti Employee Training portal': 306, 'Zenoti QA': 70, 'Zenoti': 3639, 'Zion Engagement and Planning': 5, '[Sandbox] Charlie&#39;s': 15, '[Sandbox] Kaitlyn Folsom&#39;s': 2, 'beqom': 317, 'd.': 170, 'dbaPlatform': 82, 'iAdvize': 241, 'iConnect Training': 182, 'i': 467, 'iorad': 12, 'my LCC Courses!': 1410, 'occy': 207, 'uConnect': 133, 'Łukasz Wnęk - production': 29}}\n"
-     ]
-    }
-   ],
-   "source": [
-    "test_dict = pages_sum.to_dict()\n",
-    "print(test_dict)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Twotal</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>School Name</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>'@properties</th>\n",
-       "      <td>322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4 Pillars</th>\n",
-       "      <td>112</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AIIM+</th>\n",
-       "      <td>528</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ASAPP</th>\n",
-       "      <td>153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Académie Évolupharma</th>\n",
-       "      <td>253</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Yakademy</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Your Pathway Home</th>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ZENOTI</th>\n",
-       "      <td>42</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ZU EWC</th>\n",
-       "      <td>14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ZU Sorbet</th>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>489 rows × 1 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                      Twotal\n",
-       "School Name                 \n",
-       "'@properties             322\n",
-       "4 Pillars                112\n",
-       "AIIM+                    528\n",
-       "ASAPP                    153\n",
-       "Académie Évolupharma     253\n",
-       "...                      ...\n",
-       "Yakademy                   1\n",
-       "Your Pathway Home          3\n",
-       "ZENOTI                    42\n",
-       "ZU EWC                    14\n",
-       "ZU Sorbet                  8\n",
-       "\n",
-       "[489 rows x 1 columns]"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pages_three = pd.DataFrame(columns=['Twotal'])\n",
-    "pages_three['Twotal'] = pages_sum.groupby(['School Name'])['Total Views'].sum()\n",
-    "pages_three.head(-20)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pages_three.loc[pages_three.index == 'Zenjob']\n",
-    "acct_list = pages_three.index.to_list()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Bolt Volt\n",
-      "Landis LandisU\n",
-      "Ocean Oceana\n",
-      "Skuad Skool Skuid Skool\n"
-     ]
-    }
-   ],
-   "source": [
-    "from Levenshtein import distance as lev\n",
-    "import itertools\n",
-    "\n",
-    "acct1 = []\n",
-    "comp = []\n",
-    "for (\n",
-    "    name1,\n",
-    "    name2,\n",
-    ") in itertools.combinations(acct_list, 2):\n",
-    "    # print(name1, name2) - prints all pairs, working so far.\n",
-    "    distance = lev(name1, name2)\n",
-    "    # print(distance) - successfully returns numbers\n",
-    "    if distance > 0 and distance < 2:\n",
-    "        print(name1, name2)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Stored 'pages' (DataFrame)\n"
-     ]
-    }
-   ],
-   "source": [
-    "pages = pages_three\n",
-    "%store pages"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "arr = pd.read_csv(\"/Users/normrasmussen/Downloads/cust_arr.csv\", index_col=0, header=[0])\n",
-    "arr.fillna(0, inplace=True)\n",
-    "arr.replace(',','', regex=True, inplace=True)\n",
-    "arr['ARR'] = arr['ARR'].astype(int)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "arr = arr.drop(axis=1, columns=['Renewaldate Date', 'CSM'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(354, 1)"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['Stuart']\n",
-      "['HelloTech', 'Inc.']\n",
-      "['Shopify', 'Inc.']\n",
-      "['Hardskills', 'Pte.', 'Ltd']\n",
-      "['Shipt']\n",
-      "['SPS', 'Commerce']\n",
-      "['CDP']\n",
-      "['Altenew']\n",
-      "['BrightMove']\n",
-      "['SITA', 'B.V.', 'c/o', 'Malta', 'International', 'Airport']\n",
-      "['Football', 'Marketing', 'Asia']\n",
-      "['Prism', 'Maritime']\n",
-      "['Skuid']\n",
-      "['SmartPM', 'Technologies']\n",
-      "['DoorDash,', 'Inc.']\n",
-      "['International', 'Care', 'Ltd.']\n",
-      "['BrightMove']\n",
-      "['Epiphany', 'Healthcare']\n",
-      "['Artsy']\n",
-      "['Évolupharma,', 'Inc.']\n",
-      "['UAB', 'Omnisend']\n",
-      "['Epiphany', 'Healthcare']\n",
-      "['Artsy']\n",
-      "['Renu', 'Contracting', 'Restoration']\n",
-      "['Minga']\n",
-      "['Renu', 'Contracting', 'Restoration']\n",
-      "['Viva', 'Online', 'Services', 'SA']\n",
-      "['Health', 'Current']\n",
-      "['Cherokee', 'Enterprises,', 'Inc.']\n",
-      "['Kinetica']\n",
-      "['Innovaccer', 'Inc.']\n",
-      "['Bellhop,', 'Inc']\n",
-      "['ISOutsource']\n",
-      "['Safic-Alcan']\n",
-      "['PetalMD']\n",
-      "['GomezLee', 'Marketing']\n",
-      "['PSC', 'Consulting']\n",
-      "['STATCARE', 'URGENT', 'CARE']\n",
-      "['Tru', 'Realty']\n",
-      "['Netradyne']\n",
-      "['H1', 'Insights,', 'Inc.']\n",
-      "['Hardskills', 'Pte.', 'Ltd']\n",
-      "['BambooHR']\n",
-      "['Velocity', 'Risk', 'Underwriters,', 'LLC']\n",
-      "['Harri', 'LLC']\n",
-      "['Rootstrap']\n",
-      "['First', 'Mile']\n",
-      "['Lawpath']\n",
-      "['Brand', 'Addition']\n",
-      "['Roboflow']\n",
-      "['Oiltanking', 'GmbH']\n",
-      "['Safari', 'Energy']\n",
-      "['Larson', 'Texts']\n",
-      "['Spring', 'Point']\n",
-      "['Legislative', 'Assembly', 'of', 'British', 'Columbia']\n",
-      "['National', 'Campus', 'and', 'Community', 'Radio', 'Association']\n",
-      "['Psynapse', 'Psychometrics', 'Pty', 'Ltd']\n",
-      "['Portnoy,', 'Messinger,', 'Pearl', '&', 'Associates,', 'Inc.']\n",
-      "['Trax', 'Technology', 'Solutions', 'Pte', 'Ltd']\n",
-      "['Uber', 'London', 'Limited', '(POOL)']\n",
-      "['Ansan', 'Industries', 'Ltd.']\n",
-      "['connectRN', 'Inc.']\n",
-      "['Usdan', 'Summer', 'Camp', 'for', 'the', 'Arts']\n",
-      "['Carlson', 'Capital', 'Management']\n",
-      "['Safari', 'Energy']\n",
-      "['Surmesur']\n",
-      "['connectRN', 'Inc.']\n",
-      "['ManyChat,', 'Inc.']\n",
-      "['Service', 'Coordination', 'Unlimited']\n",
-      "['Doximity', 'Inc.']\n",
-      "['Starwood', 'Pet', 'Travel']\n",
-      "['Future', 'Point', 'of', 'View', '(Tri-Corps)']\n",
-      "['Form', 'Energy']\n",
-      "['Channable']\n",
-      "['Hammer', 'Nutrition']\n",
-      "['Uber', 'B.V.', '-', 'Uber', 'LatAm', 'Compliance']\n",
-      "['Securonix', 'Inc.']\n",
-      "['HopSkipDrive']\n",
-      "['Kiwi']\n",
-      "['People', 'Untapped']\n",
-      "['beqom']\n",
-      "['Casio', 'America', 'Inc']\n",
-      "['Riviera', 'Partners', 'LLC']\n",
-      "['The', 'Latimer', 'Group']\n",
-      "['Viveve']\n",
-      "['Volt', 'Systems']\n",
-      "['OTHRSource']\n",
-      "['Viveve']\n",
-      "['Material', 'Control', 'Systems,', 'Inc.']\n",
-      "['Evolve', 'IP']\n",
-      "['Cook', 'Brothers', 'Bars']\n",
-      "['STOPit', 'Solutions']\n",
-      "['Broche', 'Ballet']\n",
-      "['Virtually', 'Human', 'Studio']\n",
-      "['BrightLine', 'Eating', 'Solutions', 'LLC']\n",
-      "['AgriWebb']\n",
-      "['Wingz,', 'Inc.']\n",
-      "['Noventiq', 'Holdings', 'plc']\n",
-      "['Corporate', 'Traveler', 'UK']\n",
-      "['Kadince']\n",
-      "['AndHealth']\n",
-      "['Swift', 'Medical']\n",
-      "['Agility', 'Inc.']\n",
-      "['ZyXel', 'Communications', 'Inc']\n",
-      "['UX', 'Design', 'Institute']\n",
-      "['STATCARE', 'URGENT', 'CARE']\n",
-      "['MaRS', 'Discovery', 'District']\n",
-      "['Altima', 'Dental', 'Canada']\n",
-      "['Aquent']\n",
-      "['FeverBee']\n",
-      "['Company', 'Nurse']\n",
-      "['DoubleVerify']\n",
-      "['Pepper', 'Content', 'Inc']\n",
-      "['NextHealth']\n",
-      "['Community', 'Transportation', 'Association', 'of', 'America']\n",
-      "['Teach', 'Plus']\n",
-      "['Winchester', 'Carlisle']\n",
-      "['Ceres', 'University']\n",
-      "['BrandActive', 'International', 'Inc.']\n",
-      "['Psychiatry-UK']\n",
-      "['Horsepower', 'Brands']\n",
-      "['Dept', 'Holding', 'B.V.']\n",
-      "['BioLife', 'Solutions,', 'Inc.']\n",
-      "['Walmart', 'Inc.']\n",
-      "['Conlon', 'Construction']\n",
-      "['Nana', 'Technologies', 'Inc.']\n",
-      "['Turo,', 'Inc.']\n",
-      "['BombBomb']\n",
-      "['The', 'Financial', 'Times', 'Limited']\n",
-      "['Southeastrans', 'Inc.']\n",
-      "['Type', 'A', 'Media']\n",
-      "['Jets', 'Gymnastics']\n",
-      "['Reconart']\n",
-      "['Excalibur', 'Data', 'Systems']\n",
-      "['Parkopoly']\n",
-      "['Strategos', 'International']\n",
-      "['Douglas', 'Elliman', 'Real', 'Estate']\n",
-      "['Oodrive']\n",
-      "['Swift', 'Medical']\n",
-      "['Canavan', 'Byrne']\n",
-      "['Dray', 'Alliance', 'Inc.']\n",
-      "['CanFi', 'Empowerment', 'Education', 'Corp']\n",
-      "['Axios', 'Media', 'Inc.']\n",
-      "['Volumental']\n",
-      "['Oceana,', 'Inc.']\n",
-      "['LaunchThat']\n",
-      "['UX', 'Design', 'Institute']\n",
-      "['Amyris']\n",
-      "['Shine', 'Bright', 'Care', 'LLC']\n",
-      "['Alston', 'Construction']\n",
-      "['Hello', 'Customer']\n",
-      "['S-Docs']\n",
-      "['Neil', 'Kelly', 'Company']\n",
-      "['Squaretrade', 'Inc.']\n",
-      "['Everyday', 'Software,', 'SL']\n",
-      "['Webdox', 'CLM']\n",
-      "['Hazlett', 'Tree', 'Service']\n",
-      "['High', 'Frequency']\n",
-      "['CloudRadial']\n",
-      "['Ideoclick']\n",
-      "['Equiem']\n",
-      "['Long', 'Beach', 'Community', 'College', 'District', '-', 'LA', 'SBDC']\n",
-      "['enChoice', 'Inc']\n",
-      "['Royal', 'Family', 'Kids,', 'Inc.']\n",
-      "['SilverCar']\n",
-      "['Anchor', 'QEA,', 'LLC']\n",
-      "['Maven', 'Clinic']\n",
-      "['Flight', 'Centre']\n",
-      "['Shoplogix', '(Asia', 'Pacific)', 'Limited', '(Formerly', 'Projection', 'HK)']\n",
-      "['North', 'Capital']\n",
-      "['Johnson', '&', 'Johnson', 'Surgical', 'Vision,', 'Inc.']\n",
-      "['Hexa', 'Assessments', 'dba', 'Talexes']\n",
-      "['Raketech', 'Group']\n",
-      "['EnsembleIQ']\n",
-      "['Ogi']\n",
-      "['Grammarly']\n",
-      "['PSC', 'Consulting']\n",
-      "['Trinity', 'College', 'London']\n",
-      "['Estes', 'Construction']\n",
-      "['FIVE', 'Holdings,', 'Inc']\n",
-      "[\"Women's\", 'Resource', 'Center']\n",
-      "['Pablo', '&', \"Rusty's\", 'Coffee']\n",
-      "['Lawyers', 'Committee', 'for', 'Civil', 'Rights', 'Under', 'Law']\n",
-      "['Richter10.2', 'Media', 'Group']\n",
-      "['Venair']\n",
-      "['SIT', 'International']\n",
-      "['Cultural', 'Care']\n",
-      "['DoubleVerify']\n",
-      "['Life', 'House']\n",
-      "['ASAPP']\n",
-      "['GLDN']\n",
-      "['Community', 'Fire', 'Prevention']\n",
-      "['Capillary', 'Technologies']\n",
-      "['Landis']\n",
-      "['Blacklane', 'GmbH']\n",
-      "['American', 'Concrete', 'Pipe', 'Association']\n",
-      "['The', 'CORE', 'Group']\n",
-      "['Market', 'Track', 'LLC', 'dba', 'Numerator']\n",
-      "['Medical', 'Practice', 'Management', 'Solutions']\n",
-      "['Recast', 'Software']\n",
-      "['Skan.ai']\n",
-      "['Smart', 'Choice']\n",
-      "['Hello', 'Insight']\n",
-      "['Agility', 'Robotics']\n",
-      "['American', 'State', 'Bank']\n",
-      "['Transifex', 'Opco', 'LLC']\n",
-      "['Cappfinity']\n",
-      "['Houwzer,', 'Inc']\n",
-      "['Feldman', 'Surveyors']\n",
-      "['CognisantMD']\n",
-      "['Clay', 'County', 'Clerk', 'of', 'Court', 'and', 'Comptroller', 'Office']\n",
-      "['Wiliot']\n",
-      "['Jimmy', 'Brings']\n",
-      "['AIIM']\n",
-      "['Wound', 'Care', 'Advantage']\n",
-      "['One', 'Network', 'Enterprises']\n",
-      "['Harri', 'LLC']\n",
-      "['Community', 'Transportation', 'Association', 'of', 'America']\n",
-      "['Puls']\n",
-      "['Shopify', 'Inc.']\n",
-      "['Semantic', 'Web', 'Company', 'GmbH']\n",
-      "['EF', 'Educational', 'Foundation', 'for', 'Foreign', 'Study']\n",
-      "['Upland', 'Software', 'Inc.']\n",
-      "['Global', 'Systems', 'Engineering']\n",
-      "['G2.com,', 'Inc']\n",
-      "['Petroleum', 'Analyzer', 'Company']\n",
-      "['Quality', 'Built']\n",
-      "['Energy', 'Foundation']\n",
-      "['ManyChat,', 'Inc.']\n",
-      "['People', 'Untapped']\n",
-      "['Optimize', 'Wealth', 'Management']\n",
-      "['Perchwell']\n",
-      "['Rystad', 'Energy']\n",
-      "['DesktopShipper']\n",
-      "['New', 'England', 'Mechanical', 'Overlay', '(NEMO)']\n",
-      "['Scinapsis', 'Analytics', 'Inc.', 'd.b.a.', 'BenchSci']\n",
-      "['Eagle', 'Investment', 'Systems', 'LLC']\n",
-      "['Falkonry', 'Inc.']\n",
-      "['Exor', 'International', '(USA)']\n",
-      "['Outside', 'In']\n",
-      "['UX', 'Design', 'Institute']\n",
-      "['Studex', 'Corporation']\n",
-      "['Givergy']\n",
-      "['Porch']\n",
-      "['StatesServ/Hospicelink']\n",
-      "['The', 'a2', 'Milk', 'Company']\n",
-      "['Bungii,', 'LLC']\n",
-      "['My', 'Food', 'Bag']\n",
-      "['Data', 'Words']\n",
-      "['Dr.', 'First']\n",
-      "['Sidekick', 'Health']\n",
-      "['Sirma', 'AI', 'AD,', 'trading', 'as', 'Ontotext']\n",
-      "['CHEK', 'Institute']\n",
-      "['Universal', 'Technical', 'Resource', 'Services,', 'Inc.']\n",
-      "['Falkonry', 'Inc.']\n",
-      "['MOLITOR', 'Formations']\n",
-      "['Sword', 'Security']\n",
-      "['Missouri', 'State', 'Employees', 'Retirement', 'System']\n",
-      "['Pickup', 'Now', 'Inc']\n",
-      "['Papa', 'Technologies', 'LLC']\n",
-      "['Marble', 'Law', 'Firm']\n",
-      "['Parchment,', 'Inc.']\n",
-      "['Well', 'Health,', 'Inc.', 'dba', 'Artera']\n",
-      "['Skuid']\n",
-      "['Veriff', 'OÜ']\n",
-      "['Soham,', 'Inc.', '(Zenoti)']\n",
-      "['Caliza', 'DBA', 'Homesie/Landing']\n",
-      "['iAdvize', 'SAS']\n",
-      "['Milner', 'International', 'College', 'of', 'English']\n",
-      "['Adkins', 'Management', 'and', 'Consulting']\n",
-      "['Partender,', 'Inc.']\n",
-      "['Hometime']\n",
-      "['National', 'Wildlife', 'Federation']\n",
-      "['Petland', 'Kennesaw']\n",
-      "['Petland', 'Mall', 'of', 'Georgia']\n",
-      "['Lash', 'Affair', 'by', 'J.', 'Paris,', 'LLC']\n",
-      "['Freshworks,', 'Inc.']\n",
-      "['Petland', 'Summerville']\n",
-      "['FacilisGroup']\n",
-      "['Clay', 'County', 'Clerk', 'of', 'Court', 'and', 'Comptroller', 'Office']\n",
-      "['Sweet', 'Cow', 'Ice', 'Cream']\n",
-      "['Kovo', 'Inc.']\n",
-      "['Anchor', 'Labs,', 'LLC']\n",
-      "['HINKLEY,', 'INC.']\n",
-      "['Solidus', 'Labs']\n",
-      "['Ogi']\n",
-      "['LTK']\n",
-      "['The', 'CX', 'Company']\n",
-      "['Wag', 'Labs,', 'Inc.']\n",
-      "['Paramount', 'Commerce']\n",
-      "['Akua', 'Mind', '&', 'Body']\n",
-      "['Anchain.ai']\n",
-      "['Pipedrive,', 'Inc.']\n",
-      "['Canavan', 'Byrne']\n",
-      "['Alston', 'Construction']\n",
-      "['Keystone', 'RV', 'Company']\n",
-      "['LJ', 'Hooker', 'Corporation', 'Pty', 'Ltd']\n",
-      "['Zenoti(Toni', '&', 'Guy)']\n",
-      "['National', 'Contracting', 'Center']\n",
-      "['Wild', 'Health']\n",
-      "['TripleSeat']\n",
-      "['Cloudticity']\n",
-      "['OvalEdge']\n",
-      "['ForceManager']\n",
-      "['Remind']\n",
-      "['LoadUp', 'Technologies,', 'LLC']\n",
-      "['Zenjob', 'GmbH']\n",
-      "['AgencyBloc']\n",
-      "['Serge']\n",
-      "['English', 'for', 'Asia']\n",
-      "['uConnect']\n",
-      "['Plan', 'To', 'Protect']\n",
-      "['Bonfire', 'Interactive', 'Ltd.']\n",
-      "['RogueHire,', 'LLC']\n",
-      "['Total', 'Dealer', 'Compliance']\n",
-      "['SalesForce,', 'Inc.']\n",
-      "['STT', 'Security', '&', 'Investigative', 'Services']\n",
-      "['Encore', 'Healthcare']\n",
-      "['Engel', '&', 'Völkers', 'Americas,', 'Inc']\n",
-      "['Herrmann']\n",
-      "['Cayuse']\n",
-      "['Ursa', 'Major', 'Technologies']\n",
-      "['The', 'Federal', 'Liberal', 'Agency', 'of', 'Canada']\n",
-      "['Company', 'Nurse']\n",
-      "['WeTravel']\n",
-      "['MarketScale']\n",
-      "['Mizuno', 'Usa,', 'Inc.']\n",
-      "['At', 'World', 'Properties,', 'LLC']\n",
-      "['Talener']\n",
-      "['Practo', 'PTE', 'Ltd.']\n",
-      "['Prenda']\n",
-      "['Arrcus']\n",
-      "['Yondr', 'USA', 'LLC']\n",
-      "['Scrivas']\n",
-      "['AutoServe1']\n",
-      "['InvestisDigital']\n",
-      "['Eldersource']\n",
-      "['Dialog']\n",
-      "['Own', 'Solutions', 'Financial', 'Services', 'Limited']\n",
-      "['Crayon']\n",
-      "['Slope', 'Software']\n",
-      "['Rokt', 'Pte', 'Ltd']\n",
-      "['CyberCube']\n",
-      "['Everlaw']\n",
-      "['Compass', 'RE']\n",
-      "['Solo']\n",
-      "['Dolly', 'Inc.']\n",
-      "['LTK']\n",
-      "['Access', 'E-Forms']\n",
-      "['Training', 'Concepts']\n",
-      "['Luma', 'Health,', 'Inc.']\n",
-      "['FRSecure']\n",
-      "['MedicalDirector']\n",
-      "nan\n"
-     ]
-    }
-   ],
-   "source": [
-    "arr.index.astype(str)\n",
-    "words = arr.index.str.split()\n",
-    "for word in words:\n",
-    "    print(word)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "354\n",
-      "509\n",
-      "nan\n",
-      "<class 'str'>\n"
-     ]
-    }
-   ],
-   "source": [
-    "acct_list = []\n",
-    "acct_list = arr.index.to_list()\n",
-    "acct_list2 = pages.index.to_list()\n",
-    "print(len(acct_list))\n",
-    "print(len(acct_list2))\n",
-    "\n",
-    "for item2 in acct_list2:\n",
-    "    acct_list.append(item2)\n",
-    "\n",
-    "for item in acct_list:\n",
-    "    if type(item) == float:\n",
-    "        acct_list.remove(item)\n",
-    "        item = str(item)\n",
-    "        print(item)\n",
-    "        print(type(item))\n",
-    "        \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "SilverCar Silvercar\n",
-      "Landis LandisU\n",
-      "AIIM AIIM+\n",
-      "DesktopShipper Desktop Shipper\n",
-      "TripleSeat Tripleseat\n",
-      "InvestisDigital Investis Digital\n",
-      "Bolt Volt\n",
-      "Landis LandisU\n",
-      "Ocean Oceana\n",
-      "Skuad Skool Skuid Skool\n",
-      "10\n"
-     ]
-    }
-   ],
-   "source": [
-    "tup_list = []\n",
-    "for (name1, name2,) in itertools.combinations(acct_list, 2):\n",
-    "    distance = lev(name1, name2)\n",
-    "    if distance > 0 and distance < 2:\n",
-    "        print(name1, name2)\n",
-    "        tup_list.append((name1, name2))\n",
-    "\n",
-    "print(len(tup_list))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "jupyter",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Scripts/Jupyter/arr_pageviews_playground.ipynb b/Scripts/Jupyter/arr_pageviews_playground.ipynb
deleted file mode 100644
index 8d236d3e..00000000
--- a/Scripts/Jupyter/arr_pageviews_playground.ipynb
+++ /dev/null
@@ -1,3594 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd \n",
-    "import numpy as np \n",
-    "import seaborn as sns \n",
-    "import matplotlib.pylab as plt \n",
-    "import sketch\n",
-    "#plt.style.use('ggplot')"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# First Import\n",
-    "\n",
-    "What we are doing here is importing some organizational data that we can compare to Heap's data. We need items like the Customer's Unique ID, the Instance ID, some ICP and use-case information, and the customer's customer name. \n",
-    "\n",
-    "Currently, I am pulling from [this look](https://northpasshq.looker.com/looks/125). Use this."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Customers Customer ID</th>\n",
-       "      <th>Mal Actuals School ID</th>\n",
-       "      <th>Mal Actuals School Name</th>\n",
-       "      <th>Chris Bookings ICP</th>\n",
-       "      <th>Customers Organization</th>\n",
-       "      <th>Customers Use Case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30799651</td>\n",
-       "      <td>5365.0</td>\n",
-       "      <td>CORE College</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>The CORE Group</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>30801577</td>\n",
-       "      <td>5454.0</td>\n",
-       "      <td>Serge</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Serge</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30857025</td>\n",
-       "      <td>4581.0</td>\n",
-       "      <td>Team Trudeau Training</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>The Federal Liberal Agency of Canada</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>30857025</td>\n",
-       "      <td>5265.0</td>\n",
-       "      <td>Formation de l'Équipe Trudeau</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>The Federal Liberal Agency of Canada</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30861952</td>\n",
-       "      <td>6097.0</td>\n",
-       "      <td>ElderSource Internal</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Eldersource</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Customers Customer ID  Mal Actuals School ID   \n",
-       "0               30799651                 5365.0  \\\n",
-       "1               30801577                 5454.0   \n",
-       "2               30857025                 4581.0   \n",
-       "3               30857025                 5265.0   \n",
-       "4               30861952                 6097.0   \n",
-       "\n",
-       "         Mal Actuals School Name Chris Bookings ICP   \n",
-       "0                   CORE College             Non-CE  \\\n",
-       "1                          Serge             Non-CE   \n",
-       "2          Team Trudeau Training         CE Non-ICP   \n",
-       "3  Formation de l'Équipe Trudeau         CE Non-ICP   \n",
-       "4           ElderSource Internal             Non-CE   \n",
-       "\n",
-       "                 Customers Organization Customers Use Case  \n",
-       "0                        The CORE Group          Employees  \n",
-       "1                                 Serge          Employees  \n",
-       "2  The Federal Liberal Agency of Canada          Customers  \n",
-       "3  The Federal Liberal Agency of Canada          Customers  \n",
-       "4                           Eldersource          Employees  "
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ids= pd.read_csv(\"/Users/normrasmussen/Downloads/school_names_ids.csv\")\n",
-    "ids.head(5)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Next, we need to rename the columns for better and easier access. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30799651</td>\n",
-       "      <td>5365.0</td>\n",
-       "      <td>CORE College</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>The CORE Group</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>30801577</td>\n",
-       "      <td>5454.0</td>\n",
-       "      <td>Serge</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Serge</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30857025</td>\n",
-       "      <td>4581.0</td>\n",
-       "      <td>Team Trudeau Training</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>The Federal Liberal Agency of Canada</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>30857025</td>\n",
-       "      <td>5265.0</td>\n",
-       "      <td>Formation de l'Équipe Trudeau</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>The Federal Liberal Agency of Canada</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30861952</td>\n",
-       "      <td>6097.0</td>\n",
-       "      <td>ElderSource Internal</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Eldersource</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>30861952</td>\n",
-       "      <td>6099.0</td>\n",
-       "      <td>ElderSource Ecommerce</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Eldersource</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>30861952</td>\n",
-       "      <td>6101.0</td>\n",
-       "      <td>ElderSource Partner</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Eldersource</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>30867042</td>\n",
-       "      <td>4706.0</td>\n",
-       "      <td>Givergy Academy</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Givergy</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>30867043</td>\n",
-       "      <td>3332.0</td>\n",
-       "      <td>Access University</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Access E-Forms</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>30867046</td>\n",
-       "      <td>5667.0</td>\n",
-       "      <td>School of Rokt</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Rokt Pte Ltd</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   customer_id  school_id                    school_name icp_boolean   \n",
-       "0     30799651     5365.0                   CORE College      Non-CE  \\\n",
-       "1     30801577     5454.0                          Serge      Non-CE   \n",
-       "2     30857025     4581.0          Team Trudeau Training  CE Non-ICP   \n",
-       "3     30857025     5265.0  Formation de l'Équipe Trudeau  CE Non-ICP   \n",
-       "4     30861952     6097.0           ElderSource Internal      Non-CE   \n",
-       "5     30861952     6099.0          ElderSource Ecommerce      Non-CE   \n",
-       "6     30861952     6101.0            ElderSource Partner      Non-CE   \n",
-       "7     30867042     4706.0                Givergy Academy      Non-CE   \n",
-       "8     30867043     3332.0              Access University  CE Non-ICP   \n",
-       "9     30867046     5667.0                 School of Rokt      Non-CE   \n",
-       "\n",
-       "                          customer_name   use_case  \n",
-       "0                        The CORE Group  Employees  \n",
-       "1                                 Serge  Employees  \n",
-       "2  The Federal Liberal Agency of Canada  Customers  \n",
-       "3  The Federal Liberal Agency of Canada  Customers  \n",
-       "4                           Eldersource  Employees  \n",
-       "5                           Eldersource  Employees  \n",
-       "6                           Eldersource  Employees  \n",
-       "7                               Givergy  Employees  \n",
-       "8                        Access E-Forms  Customers  \n",
-       "9                          Rokt Pte Ltd  Employees  "
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ids = ids.rename(\n",
-    "    columns={\n",
-    "        'Customers Customer ID':'customer_id', \n",
-    "        'Customers Organization':'customer_name', \n",
-    "        'Mal Actuals School ID':'school_id', \n",
-    "        'Mal Actuals School Name':'school_name',\n",
-    "        'Chris Bookings ICP': 'icp_boolean',\n",
-    "        'Customers Use Case':'use_case',\n",
-    "        },\n",
-    "    )\n",
-    "ids.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>555</th>\n",
-       "      <td>47167414</td>\n",
-       "      <td>7684.0</td>\n",
-       "      <td>Walmart Suppliers Onboarding</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Volt Systems</td>\n",
-       "      <td>Gig</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>585</th>\n",
-       "      <td>47167440</td>\n",
-       "      <td>7056.0</td>\n",
-       "      <td>Spark Driver Resources Hub (MIGRATED TO AZURE)</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Walmart Inc.</td>\n",
-       "      <td>Customers,Gig</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>586</th>\n",
-       "      <td>47167440</td>\n",
-       "      <td>7540.0</td>\n",
-       "      <td>Walmart Sandbox (MIGRATED TO AZURE)</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Walmart Inc.</td>\n",
-       "      <td>Customers,Gig</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     customer_id  school_id                                     school_name   \n",
-       "555     47167414     7684.0                    Walmart Suppliers Onboarding  \\\n",
-       "585     47167440     7056.0  Spark Driver Resources Hub (MIGRATED TO AZURE)   \n",
-       "586     47167440     7540.0             Walmart Sandbox (MIGRATED TO AZURE)   \n",
-       "\n",
-       "    icp_boolean customer_name       use_case  \n",
-       "555      Non-CE  Volt Systems            Gig  \n",
-       "585  CE Non-ICP  Walmart Inc.  Customers,Gig  \n",
-       "586  CE Non-ICP  Walmart Inc.  Customers,Gig  "
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# A quick little check to make sure Walmart is still on the list. Feel free to switch out different Academy names to find if a customer's school exists\n",
-    "search_for = ['walmart', 'spark', 'luminate']\n",
-    "ids.loc[ids.school_name.str.contains('|'.join(search_for), case=False, na=False)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/5l/fmyj8l8n74v0m3zfncrycj7m0000gn/T/ipykernel_47678/1163457763.py:1: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.\n",
-      "  ids.loc[ids.school_name.str.contains(\"(migrated to azure)\", case=False, na=False)]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>585</th>\n",
-       "      <td>47167440</td>\n",
-       "      <td>7056.0</td>\n",
-       "      <td>Spark Driver Resources Hub (MIGRATED TO AZURE)</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Walmart Inc.</td>\n",
-       "      <td>Customers,Gig</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>586</th>\n",
-       "      <td>47167440</td>\n",
-       "      <td>7540.0</td>\n",
-       "      <td>Walmart Sandbox (MIGRATED TO AZURE)</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Walmart Inc.</td>\n",
-       "      <td>Customers,Gig</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     customer_id  school_id                                     school_name   \n",
-       "585     47167440     7056.0  Spark Driver Resources Hub (MIGRATED TO AZURE)  \\\n",
-       "586     47167440     7540.0             Walmart Sandbox (MIGRATED TO AZURE)   \n",
-       "\n",
-       "    icp_boolean customer_name       use_case  \n",
-       "585  CE Non-ICP  Walmart Inc.  Customers,Gig  \n",
-       "586  CE Non-ICP  Walmart Inc.  Customers,Gig  "
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ids.loc[ids.school_name.str.contains(\"(migrated to azure)\", case=False, na=False)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>555</th>\n",
-       "      <td>47167414</td>\n",
-       "      <td>7684.0</td>\n",
-       "      <td>Walmart Suppliers Onboarding</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Volt Systems</td>\n",
-       "      <td>Gig</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>585</th>\n",
-       "      <td>47167440</td>\n",
-       "      <td>7056.0</td>\n",
-       "      <td>Spark Driver Resources Hub</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Walmart Inc.</td>\n",
-       "      <td>Customers,Gig</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>586</th>\n",
-       "      <td>47167440</td>\n",
-       "      <td>7540.0</td>\n",
-       "      <td>Walmart Sandbox</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Walmart Inc.</td>\n",
-       "      <td>Customers,Gig</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     customer_id  school_id                   school_name icp_boolean   \n",
-       "555     47167414     7684.0  Walmart Suppliers Onboarding      Non-CE  \\\n",
-       "585     47167440     7056.0   Spark Driver Resources Hub   CE Non-ICP   \n",
-       "586     47167440     7540.0              Walmart Sandbox   CE Non-ICP   \n",
-       "\n",
-       "    customer_name       use_case  \n",
-       "555  Volt Systems            Gig  \n",
-       "585  Walmart Inc.  Customers,Gig  \n",
-       "586  Walmart Inc.  Customers,Gig  "
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Back to Walmart. If they aren't there, you need to go into the CSV and remove \"(MIGRATED TO AZURE)\" from the values. Uncomment the next line to find and remove.\n",
-    "ids.school_name = ids.school_name.str.replace('(MIGRATED TO AZURE)', '')\n",
-    "search_for = ['walmart', 'spark', 'luminate']\n",
-    "ids.loc[ids.school_name.str.contains('|'.join(search_for), case=False, na=False)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>School Name</th>\n",
-       "      <th>Twotal</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>'@properties</td>\n",
-       "      <td>322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>4 Pillars</td>\n",
-       "      <td>112</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>AIIM+</td>\n",
-       "      <td>528</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>ASAPP</td>\n",
-       "      <td>153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Académie Évolupharma</td>\n",
-       "      <td>253</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>Access</td>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>ActiveLearner</td>\n",
-       "      <td>1907</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Ad Intel</td>\n",
-       "      <td>767</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>AdCellerant</td>\n",
-       "      <td>5270</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>Adkins</td>\n",
-       "      <td>107</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            School Name  Twotal\n",
-       "0          '@properties     322\n",
-       "1             4 Pillars     112\n",
-       "2                 AIIM+     528\n",
-       "3                 ASAPP     153\n",
-       "4  Académie Évolupharma     253\n",
-       "5                Access      11\n",
-       "6         ActiveLearner    1907\n",
-       "7              Ad Intel     767\n",
-       "8           AdCellerant    5270\n",
-       "9                Adkins     107"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "%store -r pages\n",
-    "pages = pages.reset_index()\n",
-    "pages.head(10)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "</style>\n",
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>total_views</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>'@properties</td>\n",
-       "      <td>322</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>4 Pillars</td>\n",
-       "      <td>112</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>AIIM+</td>\n",
-       "      <td>528</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>ASAPP</td>\n",
-       "      <td>153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Académie Évolupharma</td>\n",
-       "      <td>253</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>Access</td>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>ActiveLearner</td>\n",
-       "      <td>1907</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Ad Intel</td>\n",
-       "      <td>767</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>AdCellerant</td>\n",
-       "      <td>5270</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>Adkins</td>\n",
-       "      <td>107</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            school_name  total_views\n",
-       "0          '@properties          322\n",
-       "1             4 Pillars          112\n",
-       "2                 AIIM+          528\n",
-       "3                 ASAPP          153\n",
-       "4  Académie Évolupharma          253\n",
-       "5                Access           11\n",
-       "6         ActiveLearner         1907\n",
-       "7              Ad Intel          767\n",
-       "8           AdCellerant         5270\n",
-       "9                Adkins          107"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pages = pages.rename(columns={\n",
-    "    'School Name':'school_name',\n",
-    "    'Twotal':'total_views'})\n",
-    "pages.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>AIIM+</td>\n",
-       "      <td>528</td>\n",
-       "      <td>46757198</td>\n",
-       "      <td>7079.0</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>AIIM</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Académie Évolupharma</td>\n",
-       "      <td>253</td>\n",
-       "      <td>47167390</td>\n",
-       "      <td>7326.0</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Évolupharma, Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>ActiveLearner</td>\n",
-       "      <td>1907</td>\n",
-       "      <td>30867718</td>\n",
-       "      <td>5301.0</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>BrandActive International Inc.</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Akua Mind Body</td>\n",
-       "      <td>578</td>\n",
-       "      <td>37441607</td>\n",
-       "      <td>6718.0</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Akua Mind &amp; Body</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Altima Dental</td>\n",
-       "      <td>33</td>\n",
-       "      <td>30867707</td>\n",
-       "      <td>5670.0</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Altima Dental Canada</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>American Concrete Pipe Association Learning Ce...</td>\n",
-       "      <td>2864</td>\n",
-       "      <td>47167457</td>\n",
-       "      <td>7582.0</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>American Concrete Pipe Association</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>Andhealth Internal Training</td>\n",
-       "      <td>17</td>\n",
-       "      <td>47167421</td>\n",
-       "      <td>7912.0</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>AndHealth</td>\n",
-       "      <td>Customers,Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Anthology Internal</td>\n",
-       "      <td>104</td>\n",
-       "      <td>47167502</td>\n",
-       "      <td>7871.0</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Blackboard Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>Anthology Trial</td>\n",
-       "      <td>418</td>\n",
-       "      <td>47167502</td>\n",
-       "      <td>7874.0</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Blackboard Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>Ascend Training by Stenograph</td>\n",
-       "      <td>9</td>\n",
-       "      <td>30988476</td>\n",
-       "      <td>7692.0</td>\n",
-       "      <td>CE ICP</td>\n",
-       "      <td>MarketScale</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                         school_name  total_views   \n",
-       "0                                              AIIM+          528  \\\n",
-       "1                               Académie Évolupharma          253   \n",
-       "2                                      ActiveLearner         1907   \n",
-       "3                                     Akua Mind Body          578   \n",
-       "4                                      Altima Dental           33   \n",
-       "5  American Concrete Pipe Association Learning Ce...         2864   \n",
-       "6                        Andhealth Internal Training           17   \n",
-       "7                                 Anthology Internal          104   \n",
-       "8                                    Anthology Trial          418   \n",
-       "9                      Ascend Training by Stenograph            9   \n",
-       "\n",
-       "   customer_id  school_id icp_boolean                       customer_name   \n",
-       "0     46757198     7079.0  CE Non-ICP                                AIIM  \\\n",
-       "1     47167390     7326.0  CE Non-ICP                   Évolupharma, Inc.   \n",
-       "2     30867718     5301.0      Non-CE      BrandActive International Inc.   \n",
-       "3     37441607     6718.0      Non-CE                    Akua Mind & Body   \n",
-       "4     30867707     5670.0      Non-CE                Altima Dental Canada   \n",
-       "5     47167457     7582.0  CE Non-ICP  American Concrete Pipe Association   \n",
-       "6     47167421     7912.0  CE Non-ICP                           AndHealth   \n",
-       "7     47167502     7871.0  CE Non-ICP                     Blackboard Inc.   \n",
-       "8     47167502     7874.0  CE Non-ICP                     Blackboard Inc.   \n",
-       "9     30988476     7692.0      CE ICP                         MarketScale   \n",
-       "\n",
-       "              use_case  \n",
-       "0            Customers  \n",
-       "1            Customers  \n",
-       "2            Employees  \n",
-       "3            Employees  \n",
-       "4            Employees  \n",
-       "5            Customers  \n",
-       "6  Customers,Employees  \n",
-       "7            Customers  \n",
-       "8            Customers  \n",
-       "9            Customers  "
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newpd = pd.merge(pages, ids, on='school_name')\n",
-    "newpd.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "school_name      object\n",
-      "total_views       int64\n",
-      "customer_id       int64\n",
-      "school_id         int64\n",
-      "icp_boolean      object\n",
-      "customer_name    object\n",
-      "use_case         object\n",
-      "dtype: object\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>AIIM+</td>\n",
-       "      <td>528</td>\n",
-       "      <td>46757198</td>\n",
-       "      <td>7079</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>AIIM</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Académie Évolupharma</td>\n",
-       "      <td>253</td>\n",
-       "      <td>47167390</td>\n",
-       "      <td>7326</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Évolupharma, Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>ActiveLearner</td>\n",
-       "      <td>1907</td>\n",
-       "      <td>30867718</td>\n",
-       "      <td>5301</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>BrandActive International Inc.</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Akua Mind Body</td>\n",
-       "      <td>578</td>\n",
-       "      <td>37441607</td>\n",
-       "      <td>6718</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Akua Mind &amp; Body</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Altima Dental</td>\n",
-       "      <td>33</td>\n",
-       "      <td>30867707</td>\n",
-       "      <td>5670</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Altima Dental Canada</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>American Concrete Pipe Association Learning Ce...</td>\n",
-       "      <td>2864</td>\n",
-       "      <td>47167457</td>\n",
-       "      <td>7582</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>American Concrete Pipe Association</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>Andhealth Internal Training</td>\n",
-       "      <td>17</td>\n",
-       "      <td>47167421</td>\n",
-       "      <td>7912</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>AndHealth</td>\n",
-       "      <td>Customers,Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Anthology Internal</td>\n",
-       "      <td>104</td>\n",
-       "      <td>47167502</td>\n",
-       "      <td>7871</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Blackboard Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                         school_name  total_views   \n",
-       "0                                              AIIM+          528  \\\n",
-       "1                               Académie Évolupharma          253   \n",
-       "2                                      ActiveLearner         1907   \n",
-       "3                                     Akua Mind Body          578   \n",
-       "4                                      Altima Dental           33   \n",
-       "5  American Concrete Pipe Association Learning Ce...         2864   \n",
-       "6                        Andhealth Internal Training           17   \n",
-       "7                                 Anthology Internal          104   \n",
-       "\n",
-       "   customer_id  school_id icp_boolean                       customer_name   \n",
-       "0     46757198       7079  CE Non-ICP                                AIIM  \\\n",
-       "1     47167390       7326  CE Non-ICP                   Évolupharma, Inc.   \n",
-       "2     30867718       5301      Non-CE      BrandActive International Inc.   \n",
-       "3     37441607       6718      Non-CE                    Akua Mind & Body   \n",
-       "4     30867707       5670      Non-CE                Altima Dental Canada   \n",
-       "5     47167457       7582  CE Non-ICP  American Concrete Pipe Association   \n",
-       "6     47167421       7912  CE Non-ICP                           AndHealth   \n",
-       "7     47167502       7871  CE Non-ICP                     Blackboard Inc.   \n",
-       "\n",
-       "              use_case  \n",
-       "0            Customers  \n",
-       "1            Customers  \n",
-       "2            Employees  \n",
-       "3            Employees  \n",
-       "4            Employees  \n",
-       "5            Customers  \n",
-       "6  Customers,Employees  \n",
-       "7            Customers  "
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newpd['school_id'] =newpd['school_id'].astype(int)\n",
-    "print(newpd.dtypes)\n",
-    "newpd.head(8)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "arr = pd.read_csv(\"/Users/normrasmussen/Downloads/ARR_OrgID.csv\")\n",
-    "arr = arr.reset_index()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>level_0</th>\n",
-       "      <th>index</th>\n",
-       "      <th>Unnamed: 0</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>csm</th>\n",
-       "      <th>product</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>30867043</td>\n",
-       "      <td>Courtney Donargo</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>1872</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>47167499</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>20000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>47167366</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>essentials</td>\n",
-       "      <td>1500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>47167483</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>14438</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>30867493</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>2160</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6</td>\n",
-       "      <td>47167458</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>26000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>6</td>\n",
-       "      <td>6</td>\n",
-       "      <td>7</td>\n",
-       "      <td>41684806</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>23000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>7</td>\n",
-       "      <td>7</td>\n",
-       "      <td>8</td>\n",
-       "      <td>46757198</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>22000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>8</td>\n",
-       "      <td>8</td>\n",
-       "      <td>9</td>\n",
-       "      <td>37441607</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>essentials</td>\n",
-       "      <td>6000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>9</td>\n",
-       "      <td>9</td>\n",
-       "      <td>10</td>\n",
-       "      <td>30867644</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>3000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   level_0  index  Unnamed: 0  customer_id               csm     product   \n",
-       "0        0      0           1     30867043  Courtney Donargo     premium  \\\n",
-       "1        1      1           2     47167499     Tracy McMahon     premium   \n",
-       "2        2      2           3     47167366           Support  essentials   \n",
-       "3        3      3           4     47167483     Nergis Tepeli     premium   \n",
-       "4        4      4           5     30867493           Support     premium   \n",
-       "5        5      5           6     47167458     Nergis Tepeli     premium   \n",
-       "6        6      6           7     41684806     Tracy McMahon  enterprise   \n",
-       "7        7      7           8     46757198    Norm Rasmussen     premium   \n",
-       "8        8      8           9     37441607           Support  essentials   \n",
-       "9        9      9          10     30867644           Support     premium   \n",
-       "\n",
-       "     arr  \n",
-       "0   1872  \n",
-       "1  20000  \n",
-       "2   1500  \n",
-       "3  14438  \n",
-       "4   2160  \n",
-       "5  26000  \n",
-       "6  23000  \n",
-       "7  22000  \n",
-       "8   6000  \n",
-       "9   3000  "
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr = arr.rename(\n",
-    "    columns={\n",
-    "        'Customer ID':'customer_id', \n",
-    "        'CSM':'csm', \n",
-    "        'Active ARR':'arr', \n",
-    "        'Product':'product'\n",
-    "    }).drop(\n",
-    "        ['Account Executive', 'Mal Limit', 'Customer Since Date', \n",
-    "        'Last Contacted Date', 'Actual Mal', 'Current Mal',\n",
-    "        'Organization', 'Billing Interval'],\n",
-    "        axis=1\n",
-    "    ).reset_index()\n",
-    "arr['arr'] = arr['arr'].str.replace(',', '').astype(int)\n",
-    "arr.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "newpd = pd.merge(newpd, arr, on='customer_id')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "      <th>csm</th>\n",
-       "      <th>product</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>AIIM+</td>\n",
-       "      <td>528</td>\n",
-       "      <td>46757198</td>\n",
-       "      <td>7079</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>AIIM</td>\n",
-       "      <td>Customers</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>22000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Académie Évolupharma</td>\n",
-       "      <td>253</td>\n",
-       "      <td>47167390</td>\n",
-       "      <td>7326</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Évolupharma, Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>28000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>ActiveLearner</td>\n",
-       "      <td>1907</td>\n",
-       "      <td>30867718</td>\n",
-       "      <td>5301</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>BrandActive International Inc.</td>\n",
-       "      <td>Employees</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>6720</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Akua Mind Body</td>\n",
-       "      <td>578</td>\n",
-       "      <td>37441607</td>\n",
-       "      <td>6718</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Akua Mind &amp; Body</td>\n",
-       "      <td>Employees</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>essentials</td>\n",
-       "      <td>6000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Altima Dental</td>\n",
-       "      <td>33</td>\n",
-       "      <td>30867707</td>\n",
-       "      <td>5670</td>\n",
-       "      <td>Non-CE</td>\n",
-       "      <td>Altima Dental Canada</td>\n",
-       "      <td>Employees</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>7474</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>American Concrete Pipe Association Learning Ce...</td>\n",
-       "      <td>2864</td>\n",
-       "      <td>47167457</td>\n",
-       "      <td>7582</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>American Concrete Pipe Association</td>\n",
-       "      <td>Customers</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>20000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>Andhealth Internal Training</td>\n",
-       "      <td>17</td>\n",
-       "      <td>47167421</td>\n",
-       "      <td>7912</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>AndHealth</td>\n",
-       "      <td>Customers,Employees</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>31900</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Anthology Internal</td>\n",
-       "      <td>104</td>\n",
-       "      <td>47167502</td>\n",
-       "      <td>7871</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Blackboard Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>95000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>Anthology Trial</td>\n",
-       "      <td>418</td>\n",
-       "      <td>47167502</td>\n",
-       "      <td>7874</td>\n",
-       "      <td>CE Non-ICP</td>\n",
-       "      <td>Blackboard Inc.</td>\n",
-       "      <td>Customers</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>95000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>Ascend Training by Stenograph</td>\n",
-       "      <td>9</td>\n",
-       "      <td>30988476</td>\n",
-       "      <td>7692</td>\n",
-       "      <td>CE ICP</td>\n",
-       "      <td>MarketScale</td>\n",
-       "      <td>Customers</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>68000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                         school_name  total_views   \n",
-       "0                                              AIIM+          528  \\\n",
-       "1                               Académie Évolupharma          253   \n",
-       "2                                      ActiveLearner         1907   \n",
-       "3                                     Akua Mind Body          578   \n",
-       "4                                      Altima Dental           33   \n",
-       "5  American Concrete Pipe Association Learning Ce...         2864   \n",
-       "6                        Andhealth Internal Training           17   \n",
-       "7                                 Anthology Internal          104   \n",
-       "8                                    Anthology Trial          418   \n",
-       "9                      Ascend Training by Stenograph            9   \n",
-       "\n",
-       "   customer_id  school_id icp_boolean                       customer_name   \n",
-       "0     46757198       7079  CE Non-ICP                                AIIM  \\\n",
-       "1     47167390       7326  CE Non-ICP                   Évolupharma, Inc.   \n",
-       "2     30867718       5301      Non-CE      BrandActive International Inc.   \n",
-       "3     37441607       6718      Non-CE                    Akua Mind & Body   \n",
-       "4     30867707       5670      Non-CE                Altima Dental Canada   \n",
-       "5     47167457       7582  CE Non-ICP  American Concrete Pipe Association   \n",
-       "6     47167421       7912  CE Non-ICP                           AndHealth   \n",
-       "7     47167502       7871  CE Non-ICP                     Blackboard Inc.   \n",
-       "8     47167502       7874  CE Non-ICP                     Blackboard Inc.   \n",
-       "9     30988476       7692      CE ICP                         MarketScale   \n",
-       "\n",
-       "              use_case             csm     product    arr  \n",
-       "0            Customers  Norm Rasmussen     premium  22000  \n",
-       "1            Customers   Tracy McMahon     premium  28000  \n",
-       "2            Employees         Support     premium   6720  \n",
-       "3            Employees         Support  essentials   6000  \n",
-       "4            Employees         Support     premium   7474  \n",
-       "5            Customers   Nergis Tepeli     premium  20000  \n",
-       "6  Customers,Employees   Tracy McMahon     premium  31900  \n",
-       "7            Customers  Norm Rasmussen  enterprise  95000  \n",
-       "8            Customers  Norm Rasmussen  enterprise  95000  \n",
-       "9            Customers   Nergis Tepeli  enterprise  68000  "
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newpd = newpd.drop(['index', 'Unnamed: 0', 'level_0'], axis=1)\n",
-    "newpd.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>customer_id</th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>arr</th>\n",
-       "      <th>use_case</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>46757198</td>\n",
-       "      <td>528</td>\n",
-       "      <td>22000</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>47167390</td>\n",
-       "      <td>253</td>\n",
-       "      <td>28000</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867718</td>\n",
-       "      <td>1907</td>\n",
-       "      <td>6720</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>37441607</td>\n",
-       "      <td>578</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30867707</td>\n",
-       "      <td>33</td>\n",
-       "      <td>7474</td>\n",
-       "      <td>Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>47167457</td>\n",
-       "      <td>2864</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>47167421</td>\n",
-       "      <td>17</td>\n",
-       "      <td>31900</td>\n",
-       "      <td>Customers,Employees</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>47167502</td>\n",
-       "      <td>104</td>\n",
-       "      <td>95000</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>47167502</td>\n",
-       "      <td>418</td>\n",
-       "      <td>95000</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>30988476</td>\n",
-       "      <td>9</td>\n",
-       "      <td>68000</td>\n",
-       "      <td>Customers</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   customer_id  total_views    arr             use_case\n",
-       "0     46757198          528  22000            Customers\n",
-       "1     47167390          253  28000            Customers\n",
-       "2     30867718         1907   6720            Employees\n",
-       "3     37441607          578   6000            Employees\n",
-       "4     30867707           33   7474            Employees\n",
-       "5     47167457         2864  20000            Customers\n",
-       "6     47167421           17  31900  Customers,Employees\n",
-       "7     47167502          104  95000            Customers\n",
-       "8     47167502          418  95000            Customers\n",
-       "9     30988476            9  68000            Customers"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "usecases_split = newpd[['customer_id', 'total_views', 'arr', 'use_case']].copy()\n",
-    "usecases_split.head(10)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# from ast import literal_eval\n",
-    "# #usecases_split = usecases_split.use_case.str.split('|')\n",
-    "# # usecases_split = usecases_split.groupby('use_case').agg({'total_views':'sum','arr':'sum'})\n",
-    "# usecases_split.use_case = usecases_split.use_case.apply(literal_eval)\n",
-    "# usecases_split.use_case.explode(usecases_split.assign(use_case=usecases_split.use_case.str.split(',')), 'use_case')\n",
-    "# usecases_split.head(25)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>CE ICP</th>\n",
-       "      <td>11139</td>\n",
-       "      <td>1276680</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CE Non-ICP</th>\n",
-       "      <td>52362</td>\n",
-       "      <td>1258130</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Non-CE</th>\n",
-       "      <td>48485</td>\n",
-       "      <td>2407191</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             total_views      arr\n",
-       "icp_boolean                      \n",
-       "CE ICP             11139  1276680\n",
-       "CE Non-ICP         52362  1258130\n",
-       "Non-CE             48485  2407191"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# icp_groups = pd.DataFrame(columns=['views_sum', 'arr_sum'])\n",
-    "# icp_groups = newpd.groupby('icp_boolean')['total_views', 'arr'].sum()\n",
-    "icp_groups = newpd.groupby('icp_boolean').agg({'total_views':'sum','arr':'sum'})\n",
-    "icp_groups.head(12)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>arr</th>\n",
-       "      <th>scaled_views_percent</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>customer_name</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>CHEK Institute</th>\n",
-       "      <td>11138</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>100</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>UX Design Institute</th>\n",
-       "      <td>7167</td>\n",
-       "      <td>37860</td>\n",
-       "      <td>64</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Anchor QEA, LLC</th>\n",
-       "      <td>4853</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>43</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MOLITOR Formations</th>\n",
-       "      <td>4009</td>\n",
-       "      <td>9000</td>\n",
-       "      <td>35</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Whitetail Properties Real Estate</th>\n",
-       "      <td>3604</td>\n",
-       "      <td>18000</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                  total_views    arr  scaled_views_percent\n",
-       "customer_name                                                             \n",
-       "CHEK Institute                          11138  20000                   100\n",
-       "UX Design Institute                      7167  37860                    64\n",
-       "Anchor QEA, LLC                          4853  10000                    43\n",
-       "MOLITOR Formations                       4009   9000                    35\n",
-       "Whitetail Properties Real Estate         3604  18000                    32"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.preprocessing import MinMaxScaler\n",
-    "\n",
-    "cust_groups = newpd.groupby('customer_name').agg({'total_views':'sum','arr':'mean'})\n",
-    "cust_groups.arr = cust_groups.arr.astype(int)\n",
-    "\n",
-    "scaler = MinMaxScaler()\n",
-    "\n",
-    "cust_groups[[\"scaled_views\"]] = scaler.fit_transform(cust_groups[[\"total_views\"]])\n",
-    "cust_groups['scaled_views'] = cust_groups['scaled_views'].multiply(100).astype(int)\n",
-    "cust_groups['scaled_views_percent'] = cust_groups['scaled_views']\n",
-    "cust_groups = cust_groups.drop(['scaled_views'], axis=1)\n",
-    "\n",
-    "cust_groups.nlargest(5, 'total_views')\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>arr</th>\n",
-       "      <th>scaled_views_percent</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>customer_name</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Bolt Operations OÜ</th>\n",
-       "      <td>1177</td>\n",
-       "      <td>240480</td>\n",
-       "      <td>10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>LJ Hooker Corporation Pty Ltd</th>\n",
-       "      <td>1378</td>\n",
-       "      <td>206250</td>\n",
-       "      <td>12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Soham, Inc. (Zenoti)</th>\n",
-       "      <td>116</td>\n",
-       "      <td>120000</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Blackboard Inc.</th>\n",
-       "      <td>522</td>\n",
-       "      <td>95000</td>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Shipt</th>\n",
-       "      <td>1034</td>\n",
-       "      <td>88564</td>\n",
-       "      <td>9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                               total_views     arr  scaled_views_percent\n",
-       "customer_name                                                           \n",
-       "Bolt Operations OÜ                    1177  240480                    10\n",
-       "LJ Hooker Corporation Pty Ltd         1378  206250                    12\n",
-       "Soham, Inc. (Zenoti)                   116  120000                     1\n",
-       "Blackboard Inc.                        522   95000                     4\n",
-       "Shipt                                 1034   88564                     9"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cust_groups.nlargest(5, 'arr')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>arr</th>\n",
-       "      <th>scaled_views_percent</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>customer_name</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Whitetail Properties Real Estate</th>\n",
-       "      <td>3604</td>\n",
-       "      <td>18000</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Luma Health, Inc.</th>\n",
-       "      <td>3459</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>31</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SPS Commerce</th>\n",
-       "      <td>3205</td>\n",
-       "      <td>51000</td>\n",
-       "      <td>28</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>American Concrete Pipe Association</th>\n",
-       "      <td>2864</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>25</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Hardskills Pte. Ltd</th>\n",
-       "      <td>2780</td>\n",
-       "      <td>12498</td>\n",
-       "      <td>24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                    total_views    arr  scaled_views_percent\n",
-       "customer_name                                                               \n",
-       "Whitetail Properties Real Estate           3604  18000                    32\n",
-       "Luma Health, Inc.                          3459  20000                    31\n",
-       "SPS Commerce                               3205  51000                    28\n",
-       "American Concrete Pipe Association         2864  20000                    25\n",
-       "Hardskills Pte. Ltd                        2780  12498                    24"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "no_outliers = cust_groups.where((cust_groups.total_views < 4000) & (cust_groups.arr < 100000), 0)\n",
-    "no_outliers.nlargest(5, 'total_views')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "no_outliers.plot(kind='scatter', x='total_views', y='arr')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "TODO: It would be interesting to next compare the page views with the number of admins, or the number of MALs to admins, etc.  "
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### The following plot _contains_ outliers. \n",
-    "The `cust_groups` dataframe has all the data. Look for `no_outliers` for the dataframe with outliers removed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_groups.plot(kind='scatter', x='total_views', y='arr')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "Yes, there appears to be a relationship between the arr column and total_views column. To further analyze this relationship, we can use a correlation coefficient to measure the strength of the relationship between the two variables. We can also use a scatter plot to visualize the relationship between the two variables. Additionally, we can use linear regression to determine if there is a linear relationship between the two variables. \n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_groups.sketch.ask(\"Is there a relationships between arr column and total_views column? Conduct further analysis on the relationship\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div style=\"display:flex;flex-direction:row;justify-content:space-between;\">\n",
-       "                <pre style=\"width: 100%; white-space: pre-wrap;\" id=\"ece29266-f5be-4128-9f90-0818706ac4c3\">\n",
-       "import pandas as pd\n",
-       "import numpy as np\n",
-       "from sklearn.linear_model import LinearRegression\n",
-       "\n",
-       "# Create the X and y data sets\n",
-       "X = cust_groups[['arr']]\n",
-       "y = cust_groups['total_views']\n",
-       "\n",
-       "# Fit the linear regression model\n",
-       "model = LinearRegression().fit(X, y)\n",
-       "\n",
-       "# Print the coefficients\n",
-       "print('Coefficient: ', model.coef_)\n",
-       "print('Intercept: ', model.intercept_)\n",
-       "</pre>\n",
-       "                <button style=\"height: fit-content;\" onclick=\"navigator.clipboard.writeText(JSON.parse(atob(`IlxuaW1wb3J0IHBhbmRhcyBhcyBwZFxuaW1wb3J0IG51bXB5IGFzIG5wXG5mcm9tIHNrbGVhcm4ubGluZWFyX21vZGVsIGltcG9ydCBMaW5lYXJSZWdyZXNzaW9uXG5cbiMgQ3JlYXRlIHRoZSBYIGFuZCB5IGRhdGEgc2V0c1xuWCA9IGN1c3RfZ3JvdXBzW1snYXJyJ11dXG55ID0gY3VzdF9ncm91cHNbJ3RvdGFsX3ZpZXdzJ11cblxuIyBGaXQgdGhlIGxpbmVhciByZWdyZXNzaW9uIG1vZGVsXG5tb2RlbCA9IExpbmVhclJlZ3Jlc3Npb24oKS5maXQoWCwgeSlcblxuIyBQcmludCB0aGUgY29lZmZpY2llbnRzXG5wcmludCgnQ29lZmZpY2llbnQ6ICcsIG1vZGVsLmNvZWZfKVxucHJpbnQoJ0ludGVyY2VwdDogJywgbW9kZWwuaW50ZXJjZXB0XylcbiI=`)))\">Copy</button>\n",
-       "                </div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_groups.sketch.howto(\"Apply linear regression to determine if there is a linear relationships between arr and total_views\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "LinearRegression()\n",
-      "Coefficient:  [0.00205744]\n",
-      "Intercept:  788.6409091789558\n"
-     ]
-    }
-   ],
-   "source": [
-    "from sklearn.linear_model import LinearRegression\n",
-    "\n",
-    "# Create the X and y data sets\n",
-    "X = cust_groups[['arr']]\n",
-    "y = cust_groups['total_views']\n",
-    "\n",
-    "# Fit the linear regression model\n",
-    "model = LinearRegression().fit(X, y)\n",
-    "\n",
-    "# Print the coefficients\n",
-    "print('Coefficient: ', model.coef_)\n",
-    "print('Intercept: ', model.intercept_)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "total_views    int64\n",
-       "arr            int64\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 960,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Create new dataframe with only some columns. \n",
-    "corrspd = cust_groups[['total_views', 'arr']]\n",
-    "corrspd.plot.scatter(x=corrspd.total_views, y=corrspd.arr)\n",
-    "\n",
-    "\n",
-    "# Correlation Matrix. Not useful here. \n",
-    "# corrs = corrspd.corr()\n",
-    "# fig = plt.figure(figsize=(10,10))\n",
-    "# plt.matshow(corrs, cmap='RdBu')\n",
-    "# plt.xticks(range(len(corrs.columns)), corrs.columns, rotation='vertical')\n",
-    "# plt.yticks(range(len(corrs.columns)), corrs.columns)\n",
-    "# plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_plot = cust_groups[['total_views']].copy()\n",
-    "cust_plot = cust_plot.reset_index()\n",
-    "cust_plot.plot.kde(ind=[1000, 5000, 10000, 15000, 20000])\n",
-    "#cust_plot.plot(y=\"total_views\", x=\"customer_name\", figsize=(18,8))\n",
-    "plt.show()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>use_case</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Customers</th>\n",
-       "      <td>62171</td>\n",
-       "      <td>2360462</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Customers,Employees</th>\n",
-       "      <td>1233</td>\n",
-       "      <td>161484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Customers,Gig</th>\n",
-       "      <td>97</td>\n",
-       "      <td>12864</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Employees</th>\n",
-       "      <td>27020</td>\n",
-       "      <td>690496</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Employees,Gig</th>\n",
-       "      <td>3</td>\n",
-       "      <td>7800</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Employees,Partner Training</th>\n",
-       "      <td>1579</td>\n",
-       "      <td>15225</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Gig</th>\n",
-       "      <td>10252</td>\n",
-       "      <td>1027732</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Partner Training</th>\n",
-       "      <td>2046</td>\n",
-       "      <td>75000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Real Estate</th>\n",
-       "      <td>7585</td>\n",
-       "      <td>590938</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                            total_views      arr\n",
-       "use_case                                        \n",
-       "Customers                         62171  2360462\n",
-       "Customers,Employees                1233   161484\n",
-       "Customers,Gig                        97    12864\n",
-       "Employees                         27020   690496\n",
-       "Employees,Gig                         3     7800\n",
-       "Employees,Partner Training         1579    15225\n",
-       "Gig                               10252  1027732\n",
-       "Partner Training                   2046    75000\n",
-       "Real Estate                        7585   590938"
-      ]
-     },
-     "execution_count": 861,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "usecase_groups = newpd.groupby('use_case').agg({'total_views':'sum','arr':'sum'})\n",
-    "usecase_groups.head(12)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>csm</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Support</th>\n",
-       "      <td>34553</td>\n",
-       "      <td>616466</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Tracy McMahon</th>\n",
-       "      <td>25921</td>\n",
-       "      <td>961379</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Nergis Tepeli</th>\n",
-       "      <td>18085</td>\n",
-       "      <td>1571381</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Courtney Donargo</th>\n",
-       "      <td>17237</td>\n",
-       "      <td>351893</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Norm Rasmussen</th>\n",
-       "      <td>16190</td>\n",
-       "      <td>1440882</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  total_views      arr\n",
-       "csm                                   \n",
-       "Support                 34553   616466\n",
-       "Tracy McMahon           25921   961379\n",
-       "Nergis Tepeli           18085  1571381\n",
-       "Courtney Donargo        17237   351893\n",
-       "Norm Rasmussen          16190  1440882"
-      ]
-     },
-     "execution_count": 862,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "csm_groups = newpd.groupby('csm').agg({'total_views':'sum','arr':'sum'})\n",
-    "csm_groups.nlargest(25, 'total_views')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# This is a just a test. It's ugly formatting. \n",
-    "\n",
-    "# newpd[['total_views']].style.format('{:.3f}', na_rep=\"\") \\\n",
-    "#     .bar(align=2, vmin=0, vmax=2000, cmap='bwr', height=60,\n",
-    "#     width=100, props=\"width:1520px, border-right: 1px solid green;\") \\\n",
-    "#         .text_gradient(cmap=\"bwr\", vmin=0, vmax=2000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Stored 'newpd' (DataFrame)\n"
-     ]
-    }
-   ],
-   "source": [
-    "newpd.to_csv('/Users/normrasmussen/Downloads/total_views_with_acctdata.csv')\n",
-    "%store newpd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/5l/fmyj8l8n74v0m3zfncrycj7m0000gn/T/ipykernel_24478/1696825021.py:5: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  plotpd['school_name']=plotpd['school_name'].astype('category').cat.codes\n",
-      "/var/folders/5l/fmyj8l8n74v0m3zfncrycj7m0000gn/T/ipykernel_24478/1696825021.py:6: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  plotpd['customer_name']=plotpd['customer_name'].astype('category').cat.codes\n",
-      "/var/folders/5l/fmyj8l8n74v0m3zfncrycj7m0000gn/T/ipykernel_24478/1696825021.py:7: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  plotpd['use_case']=plotpd['use_case'].astype('category').cat.codes\n",
-      "/var/folders/5l/fmyj8l8n74v0m3zfncrycj7m0000gn/T/ipykernel_24478/1696825021.py:8: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  plotpd['icp_boolean']=plotpd['icp_boolean'].astype('category').cat.codes\n",
-      "/var/folders/5l/fmyj8l8n74v0m3zfncrycj7m0000gn/T/ipykernel_24478/1696825021.py:9: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
-      "Try using .loc[row_indexer,col_indexer] = value instead\n",
-      "\n",
-      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
-      "  plotpd['product']=plotpd['product'].astype('category').cat.codes\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 1000x1000 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 480x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Create new dataframe with only some columns. \n",
-    "plotpd = newpd[['school_name', 'total_views', 'icp_boolean', 'customer_name', 'use_case', 'product', 'arr']]\n",
-    "\n",
-    "# First, we have to change strings to categorical data. So each column. \n",
-    "plotpd['school_name']=plotpd['school_name'].astype('category').cat.codes\n",
-    "plotpd['customer_name']=plotpd['customer_name'].astype('category').cat.codes\n",
-    "plotpd['use_case']=plotpd['use_case'].astype('category').cat.codes\n",
-    "plotpd['icp_boolean']=plotpd['icp_boolean'].astype('category').cat.codes\n",
-    "plotpd['product']=plotpd['product'].astype('category').cat.codes\n",
-    "corrs = plotpd.corr()\n",
-    "\n",
-    "fig = plt.figure(figsize=(10,10))\n",
-    "plt.matshow(corrs, cmap='RdBu')\n",
-    "plt.xticks(range(len(corrs.columns)), corrs.columns, rotation='vertical')\n",
-    "plt.yticks(range(len(corrs.columns)), corrs.columns)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>total_views</th>\n",
-       "      <th>icp_boolean</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>use_case</th>\n",
-       "      <th>product</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>528</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>22000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>253</td>\n",
-       "      <td>1</td>\n",
-       "      <td>132</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>28000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1907</td>\n",
-       "      <td>2</td>\n",
-       "      <td>13</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>6720</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>578</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>33</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2</td>\n",
-       "      <td>7474</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>2864</td>\n",
-       "      <td>1</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>20000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>6</td>\n",
-       "      <td>17</td>\n",
-       "      <td>1</td>\n",
-       "      <td>6</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>31900</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>7</td>\n",
-       "      <td>104</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>95000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>8</td>\n",
-       "      <td>418</td>\n",
-       "      <td>1</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>95000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>9</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>66</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>68000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   school_name  total_views  icp_boolean  customer_name  use_case  product   \n",
-       "0            0          528            1              0         0        2  \\\n",
-       "1            1          253            1            132         0        2   \n",
-       "2            2         1907            2             13         3        2   \n",
-       "3            3          578            2              2         3        1   \n",
-       "4            4           33            2              3         3        2   \n",
-       "5            5         2864            1              4         0        2   \n",
-       "6            6           17            1              6         1        2   \n",
-       "7            7          104            1              9         0        0   \n",
-       "8            8          418            1              9         0        0   \n",
-       "9            9            9            0             66         0        0   \n",
-       "\n",
-       "     arr  \n",
-       "0  22000  \n",
-       "1  28000  \n",
-       "2   6720  \n",
-       "3   6000  \n",
-       "4   7474  \n",
-       "5  20000  \n",
-       "6  31900  \n",
-       "7  95000  \n",
-       "8  95000  \n",
-       "9  68000  "
-      ]
-     },
-     "execution_count": 826,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "plotpd.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>level_0</th>\n",
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-       "      <th>school_name</th>\n",
-       "      <th>total_page_views</th>\n",
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-       "    <tr>\n",
-       "      <th>customer_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>47167440</th>\n",
-       "      <td>405</td>\n",
-       "      <td>405</td>\n",
-       "      <td>Spark Driver Resources Hub</td>\n",
-       "      <td>1093</td>\n",
-       "      <td>Walmart Inc.</td>\n",
-       "      <td>7056</td>\n",
-       "      <td>326</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>820435</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
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-      "text/plain": [
-       "             level_0  index                 school_name  total_page_views   \n",
-       "customer_id                                                                 \n",
-       "47167440         405    405  Spark Driver Resources Hub              1093  \\\n",
-       "\n",
-       "            customer_name  school_id  Unnamed: 0             csm     product   \n",
-       "customer_id                                                                    \n",
-       "47167440     Walmart Inc.       7056         326  Norm Rasmussen  enterprise  \\\n",
-       "\n",
-       "                arr  \n",
-       "customer_id          \n",
-       "47167440     820435  "
-      ]
-     },
-     "execution_count": 710,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newpd.set_index('customer_id', inplace=True)\n",
-    "newpd.loc[newpd.customer_name == 'Walmart Inc.']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th></th>\n",
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-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>46757198</th>\n",
-       "      <td>AIIM+</td>\n",
-       "      <td>528</td>\n",
-       "      <td>AIIM</td>\n",
-       "      <td>7079</td>\n",
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-       "      <td>22000</td>\n",
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-       "    <tr>\n",
-       "      <th>47167390</th>\n",
-       "      <td>Académie Évolupharma</td>\n",
-       "      <td>253</td>\n",
-       "      <td>Évolupharma, Inc.</td>\n",
-       "      <td>7326</td>\n",
-       "      <td>94</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>28000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867718</th>\n",
-       "      <td>ActiveLearner</td>\n",
-       "      <td>1907</td>\n",
-       "      <td>BrandActive International Inc.</td>\n",
-       "      <td>5301</td>\n",
-       "      <td>36</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>6720</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37441607</th>\n",
-       "      <td>Akua Mind Body</td>\n",
-       "      <td>578</td>\n",
-       "      <td>Akua Mind &amp; Body</td>\n",
-       "      <td>6718</td>\n",
-       "      <td>9</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>essentials</td>\n",
-       "      <td>6000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867707</th>\n",
-       "      <td>Altima Dental</td>\n",
-       "      <td>33</td>\n",
-       "      <td>Altima Dental Canada</td>\n",
-       "      <td>5670</td>\n",
-       "      <td>14</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>7474</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867710</th>\n",
-       "      <td>Missouri State Employees Retirement System</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Missouri State Employees Retirement System</td>\n",
-       "      <td>5444</td>\n",
-       "      <td>184</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>5220</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867711</th>\n",
-       "      <td>My Meeting Courses</td>\n",
-       "      <td>767</td>\n",
-       "      <td>International Care Ltd.</td>\n",
-       "      <td>5012</td>\n",
-       "      <td>144</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>7200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867711</th>\n",
-       "      <td>MyAuPairCourses</td>\n",
-       "      <td>103</td>\n",
-       "      <td>International Care Ltd.</td>\n",
-       "      <td>4638</td>\n",
-       "      <td>144</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>7200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36347227</th>\n",
-       "      <td>NEMO Safety Training</td>\n",
-       "      <td>255</td>\n",
-       "      <td>New England Mechanical Overlay (NEMO)</td>\n",
-       "      <td>6577</td>\n",
-       "      <td>194</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>essentials</td>\n",
-       "      <td>5000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37790045</th>\n",
-       "      <td>Nest U</td>\n",
-       "      <td>434</td>\n",
-       "      <td>At World Properties, LLC</td>\n",
-       "      <td>6942</td>\n",
-       "      <td>25</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>87500</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>100 rows × 8 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                            school_name  total_page_views   \n",
-       "customer_id                                                                 \n",
-       "46757198                                          AIIM+               528  \\\n",
-       "47167390                           Académie Évolupharma               253   \n",
-       "30867718                                  ActiveLearner              1907   \n",
-       "37441607                                 Akua Mind Body               578   \n",
-       "30867707                                  Altima Dental                33   \n",
-       "...                                                 ...               ...   \n",
-       "30867710     Missouri State Employees Retirement System                 1   \n",
-       "30867711                             My Meeting Courses               767   \n",
-       "30867711                                MyAuPairCourses               103   \n",
-       "36347227                           NEMO Safety Training               255   \n",
-       "37790045                                         Nest U               434   \n",
-       "\n",
-       "                                          customer_name  school_id   \n",
-       "customer_id                                                          \n",
-       "46757198                                           AIIM       7079  \\\n",
-       "47167390                              Évolupharma, Inc.       7326   \n",
-       "30867718                 BrandActive International Inc.       5301   \n",
-       "37441607                               Akua Mind & Body       6718   \n",
-       "30867707                           Altima Dental Canada       5670   \n",
-       "...                                                 ...        ...   \n",
-       "30867710     Missouri State Employees Retirement System       5444   \n",
-       "30867711                        International Care Ltd.       5012   \n",
-       "30867711                        International Care Ltd.       4638   \n",
-       "36347227          New England Mechanical Overlay (NEMO)       6577   \n",
-       "37790045                       At World Properties, LLC       6942   \n",
-       "\n",
-       "             Unnamed: 0             csm     product    arr  \n",
-       "customer_id                                                 \n",
-       "46757198              8  Norm Rasmussen     premium  22000  \n",
-       "47167390             94   Tracy McMahon     premium  28000  \n",
-       "30867718             36         Support     premium   6720  \n",
-       "37441607              9         Support  essentials   6000  \n",
-       "30867707             14         Support     premium   7474  \n",
-       "...                 ...             ...         ...    ...  \n",
-       "30867710            184         Support     premium   5220  \n",
-       "30867711            144         Support     premium   7200  \n",
-       "30867711            144         Support     premium   7200  \n",
-       "36347227            194         Support  essentials   5000  \n",
-       "37790045             25   Tracy McMahon  enterprise  87500  \n",
-       "\n",
-       "[100 rows x 8 columns]"
-      ]
-     },
-     "execution_count": 711,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newpd = newpd.drop(['level_0', 'index'], axis=1)\n",
-    "newpd.head(100)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th>47167440</th>\n",
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-       "      <td>1093</td>\n",
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-       "    <tr>\n",
-       "      <th>30867645</th>\n",
-       "      <td>Bolt</td>\n",
-       "      <td>1177</td>\n",
-       "      <td>Bolt Operations OÜ</td>\n",
-       "      <td>5388</td>\n",
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-       "      <td>240480</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47167369</th>\n",
-       "      <td>Lighthouse by LJ Hooker Group</td>\n",
-       "      <td>1378</td>\n",
-       "      <td>LJ Hooker Corporation Pty Ltd</td>\n",
-       "      <td>7066</td>\n",
-       "      <td>164</td>\n",
-       "      <td>Tracy McMahon</td>\n",
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-       "      <td>206250</td>\n",
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-       "    <tr>\n",
-       "      <th>30867741</th>\n",
-       "      <td>Skin Laundry</td>\n",
-       "      <td>52</td>\n",
-       "      <td>Soham, Inc. (Zenoti)</td>\n",
-       "      <td>6510</td>\n",
-       "      <td>274</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>120000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867741</th>\n",
-       "      <td>ZENOTI</td>\n",
-       "      <td>42</td>\n",
-       "      <td>Soham, Inc. (Zenoti)</td>\n",
-       "      <td>5689</td>\n",
-       "      <td>274</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>120000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867741</th>\n",
-       "      <td>ZU EWC</td>\n",
-       "      <td>14</td>\n",
-       "      <td>Soham, Inc. (Zenoti)</td>\n",
-       "      <td>6167</td>\n",
-       "      <td>274</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>120000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867741</th>\n",
-       "      <td>ZU Sorbet</td>\n",
-       "      <td>8</td>\n",
-       "      <td>Soham, Inc. (Zenoti)</td>\n",
-       "      <td>7654</td>\n",
-       "      <td>274</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>120000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47167502</th>\n",
-       "      <td>Anthology Internal</td>\n",
-       "      <td>104</td>\n",
-       "      <td>Blackboard Inc.</td>\n",
-       "      <td>7871</td>\n",
-       "      <td>30</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>95000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47167502</th>\n",
-       "      <td>Anthology Trial</td>\n",
-       "      <td>418</td>\n",
-       "      <td>Blackboard Inc.</td>\n",
-       "      <td>7874</td>\n",
-       "      <td>30</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>95000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867653</th>\n",
-       "      <td>Shipt Passport</td>\n",
-       "      <td>1034</td>\n",
-       "      <td>Shipt</td>\n",
-       "      <td>4912</td>\n",
-       "      <td>259</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>88564</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                               school_name  total_page_views   \n",
-       "customer_id                                                    \n",
-       "47167440        Spark Driver Resources Hub              1093  \\\n",
-       "30867645                              Bolt              1177   \n",
-       "47167369     Lighthouse by LJ Hooker Group              1378   \n",
-       "30867741                      Skin Laundry                52   \n",
-       "30867741                            ZENOTI                42   \n",
-       "30867741                            ZU EWC                14   \n",
-       "30867741                         ZU Sorbet                 8   \n",
-       "47167502                Anthology Internal               104   \n",
-       "47167502                   Anthology Trial               418   \n",
-       "30867653                    Shipt Passport              1034   \n",
-       "\n",
-       "                             customer_name  school_id  Unnamed: 0   \n",
-       "customer_id                                                         \n",
-       "47167440                      Walmart Inc.       7056         326  \\\n",
-       "30867645                Bolt Operations OÜ       5388          32   \n",
-       "47167369     LJ Hooker Corporation Pty Ltd       7066         164   \n",
-       "30867741              Soham, Inc. (Zenoti)       6510         274   \n",
-       "30867741              Soham, Inc. (Zenoti)       5689         274   \n",
-       "30867741              Soham, Inc. (Zenoti)       6167         274   \n",
-       "30867741              Soham, Inc. (Zenoti)       7654         274   \n",
-       "47167502                   Blackboard Inc.       7871          30   \n",
-       "47167502                   Blackboard Inc.       7874          30   \n",
-       "30867653                             Shipt       4912         259   \n",
-       "\n",
-       "                        csm     product     arr  \n",
-       "customer_id                                      \n",
-       "47167440     Norm Rasmussen  enterprise  820435  \n",
-       "30867645     Norm Rasmussen  enterprise  240480  \n",
-       "47167369      Tracy McMahon  enterprise  206250  \n",
-       "30867741      Nergis Tepeli  enterprise  120000  \n",
-       "30867741      Nergis Tepeli  enterprise  120000  \n",
-       "30867741      Nergis Tepeli  enterprise  120000  \n",
-       "30867741      Nergis Tepeli  enterprise  120000  \n",
-       "47167502     Norm Rasmussen  enterprise   95000  \n",
-       "47167502     Norm Rasmussen  enterprise   95000  \n",
-       "30867653      Nergis Tepeli     premium   88564  "
-      ]
-     },
-     "execution_count": 712,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newpd.nlargest(10, 'arr')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>school_name</th>\n",
-       "      <th>total_page_views</th>\n",
-       "      <th>customer_name</th>\n",
-       "      <th>school_id</th>\n",
-       "      <th>Unnamed: 0</th>\n",
-       "      <th>csm</th>\n",
-       "      <th>product</th>\n",
-       "      <th>arr</th>\n",
-       "      <th>scaled_views</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>customer_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>47167356</th>\n",
-       "      <td>CHEK Institute</td>\n",
-       "      <td>11138</td>\n",
-       "      <td>CHEK Institute</td>\n",
-       "      <td>7112</td>\n",
-       "      <td>51</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34511981</th>\n",
-       "      <td>Compass</td>\n",
-       "      <td>4853</td>\n",
-       "      <td>Anchor QEA, LLC</td>\n",
-       "      <td>6508</td>\n",
-       "      <td>20</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>0.435665</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47167413</th>\n",
-       "      <td>MASSÉNA Formations</td>\n",
-       "      <td>4009</td>\n",
-       "      <td>MOLITOR Formations</td>\n",
-       "      <td>7369</td>\n",
-       "      <td>186</td>\n",
-       "      <td>Support</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>9000</td>\n",
-       "      <td>0.359881</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47167511</th>\n",
-       "      <td>Whitetail Properties Education Platform</td>\n",
-       "      <td>3604</td>\n",
-       "      <td>Whitetail Properties Real Estate</td>\n",
-       "      <td>7952</td>\n",
-       "      <td>330</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>18000</td>\n",
-       "      <td>0.323516</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867585</th>\n",
-       "      <td>UX Design Institute</td>\n",
-       "      <td>3583</td>\n",
-       "      <td>UX Design Institute</td>\n",
-       "      <td>5283</td>\n",
-       "      <td>317</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>37860</td>\n",
-       "      <td>0.321631</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867585</th>\n",
-       "      <td>UX Design Institute</td>\n",
-       "      <td>3583</td>\n",
-       "      <td>UX Design Institute</td>\n",
-       "      <td>7744</td>\n",
-       "      <td>317</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>enterprise</td>\n",
-       "      <td>37860</td>\n",
-       "      <td>0.321631</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47167487</th>\n",
-       "      <td>Luma U</td>\n",
-       "      <td>3459</td>\n",
-       "      <td>Luma Health, Inc.</td>\n",
-       "      <td>7847</td>\n",
-       "      <td>168</td>\n",
-       "      <td>Tracy McMahon</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>0.310497</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867654</th>\n",
-       "      <td>Training Center</td>\n",
-       "      <td>3205</td>\n",
-       "      <td>SPS Commerce</td>\n",
-       "      <td>3209</td>\n",
-       "      <td>281</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>51000</td>\n",
-       "      <td>0.287690</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47167457</th>\n",
-       "      <td>American Concrete Pipe Association Learning Ce...</td>\n",
-       "      <td>2864</td>\n",
-       "      <td>American Concrete Pipe Association</td>\n",
-       "      <td>7582</td>\n",
-       "      <td>15</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>0.257071</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30867576</th>\n",
-       "      <td>Viva Wallet</td>\n",
-       "      <td>2365</td>\n",
-       "      <td>Viva Online Services SA</td>\n",
-       "      <td>5549</td>\n",
-       "      <td>322</td>\n",
-       "      <td>Courtney Donargo</td>\n",
-       "      <td>premium</td>\n",
-       "      <td>5837</td>\n",
-       "      <td>0.212265</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                   school_name   \n",
-       "customer_id                                                      \n",
-       "47167356                                        CHEK Institute  \\\n",
-       "34511981                                               Compass   \n",
-       "47167413                                    MASSÉNA Formations   \n",
-       "47167511               Whitetail Properties Education Platform   \n",
-       "30867585                                   UX Design Institute   \n",
-       "30867585                                   UX Design Institute   \n",
-       "47167487                                                Luma U   \n",
-       "30867654                                       Training Center   \n",
-       "47167457     American Concrete Pipe Association Learning Ce...   \n",
-       "30867576                                           Viva Wallet   \n",
-       "\n",
-       "             total_page_views                       customer_name  school_id   \n",
-       "customer_id                                                                    \n",
-       "47167356                11138                      CHEK Institute       7112  \\\n",
-       "34511981                 4853                     Anchor QEA, LLC       6508   \n",
-       "47167413                 4009                  MOLITOR Formations       7369   \n",
-       "47167511                 3604    Whitetail Properties Real Estate       7952   \n",
-       "30867585                 3583                 UX Design Institute       5283   \n",
-       "30867585                 3583                 UX Design Institute       7744   \n",
-       "47167487                 3459                   Luma Health, Inc.       7847   \n",
-       "30867654                 3205                        SPS Commerce       3209   \n",
-       "47167457                 2864  American Concrete Pipe Association       7582   \n",
-       "30867576                 2365             Viva Online Services SA       5549   \n",
-       "\n",
-       "             Unnamed: 0               csm     product    arr  scaled_views  \n",
-       "customer_id                                                                 \n",
-       "47167356             51     Tracy McMahon     premium  20000      1.000000  \n",
-       "34511981             20           Support     premium  10000      0.435665  \n",
-       "47167413            186           Support     premium   9000      0.359881  \n",
-       "47167511            330     Tracy McMahon     premium  18000      0.323516  \n",
-       "30867585            317     Nergis Tepeli  enterprise  37860      0.321631  \n",
-       "30867585            317     Nergis Tepeli  enterprise  37860      0.321631  \n",
-       "47167487            168     Tracy McMahon     premium  20000      0.310497  \n",
-       "30867654            281    Norm Rasmussen     premium  51000      0.287690  \n",
-       "47167457             15     Nergis Tepeli     premium  20000      0.257071  \n",
-       "30867576            322  Courtney Donargo     premium   5837      0.212265  "
-      ]
-     },
-     "execution_count": 719,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.preprocessing import MinMaxScaler\n",
-    "scaler = MinMaxScaler()\n",
-    "newpd[[\"scaled_views\"]] = scaler.fit_transform(newpd[[\"total_page_views\"]])\n",
-    "\n",
-    "newpd.nlargest(10, 'scaled_views')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "jupyter",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Scripts/Jupyter/cust_arr_usage.ipynb b/Scripts/Jupyter/cust_arr_usage.ipynb
deleted file mode 100644
index 206573a5..00000000
--- a/Scripts/Jupyter/cust_arr_usage.ipynb
+++ /dev/null
@@ -1,2474 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd \n",
-    "import numpy as np \n",
-    "import seaborn as sns \n",
-    "import matplotlib.pylab as plt \n",
-    "import sketch\n",
-    "plt.style.use('ggplot')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Organization</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Bolt Operations OÜ</th>\n",
-       "      <td>97,468</td>\n",
-       "      <td>102,323</td>\n",
-       "      <td>103,429</td>\n",
-       "      <td>110,565</td>\n",
-       "      <td>96,365</td>\n",
-       "      <td>70,664</td>\n",
-       "      <td>65,419</td>\n",
-       "      <td>118,317</td>\n",
-       "      <td>104,262</td>\n",
-       "      <td>91,525</td>\n",
-       "      <td>127,561</td>\n",
-       "      <td>60,639</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>DoorDash, Inc.</th>\n",
-       "      <td>4,601</td>\n",
-       "      <td>6,815</td>\n",
-       "      <td>13,510</td>\n",
-       "      <td>12,470</td>\n",
-       "      <td>29,070</td>\n",
-       "      <td>69,393</td>\n",
-       "      <td>22,389</td>\n",
-       "      <td>50,328</td>\n",
-       "      <td>42,848</td>\n",
-       "      <td>33,151</td>\n",
-       "      <td>67,571</td>\n",
-       "      <td>18,546</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Wag Labs, Inc.</th>\n",
-       "      <td>159,524</td>\n",
-       "      <td>4,379</td>\n",
-       "      <td>86,345</td>\n",
-       "      <td>60,850</td>\n",
-       "      <td>3,585</td>\n",
-       "      <td>35,822</td>\n",
-       "      <td>13,098</td>\n",
-       "      <td>26,313</td>\n",
-       "      <td>34,604</td>\n",
-       "      <td>27,086</td>\n",
-       "      <td>29,255</td>\n",
-       "      <td>8,428</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Shipt</th>\n",
-       "      <td>29,247</td>\n",
-       "      <td>32,858</td>\n",
-       "      <td>30,362</td>\n",
-       "      <td>30,494</td>\n",
-       "      <td>25,022</td>\n",
-       "      <td>17,162</td>\n",
-       "      <td>14,068</td>\n",
-       "      <td>26,709</td>\n",
-       "      <td>23,587</td>\n",
-       "      <td>17,582</td>\n",
-       "      <td>17,752</td>\n",
-       "      <td>7,378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Uber B.V. - Uber LatAm Compliance</th>\n",
-       "      <td>11,488</td>\n",
-       "      <td>12,300</td>\n",
-       "      <td>11,893</td>\n",
-       "      <td>13,223</td>\n",
-       "      <td>11,859</td>\n",
-       "      <td>7,647</td>\n",
-       "      <td>6,767</td>\n",
-       "      <td>20,436</td>\n",
-       "      <td>15,438</td>\n",
-       "      <td>12,690</td>\n",
-       "      <td>14,387</td>\n",
-       "      <td>4,351</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                   2022-05  2022-06  2022-07  2022-08 2022-09   \n",
-       "Organization                                                                    \n",
-       "Bolt Operations OÜ                  97,468  102,323  103,429  110,565  96,365  \\\n",
-       "DoorDash, Inc.                       4,601    6,815   13,510   12,470  29,070   \n",
-       "Wag Labs, Inc.                     159,524    4,379   86,345   60,850   3,585   \n",
-       "Shipt                               29,247   32,858   30,362   30,494  25,022   \n",
-       "Uber B.V. - Uber LatAm Compliance   11,488   12,300   11,893   13,223  11,859   \n",
-       "\n",
-       "                                  2022-10 2022-11  2022-12  2023-01 2023-02   \n",
-       "Organization                                                                  \n",
-       "Bolt Operations OÜ                 70,664  65,419  118,317  104,262  91,525  \\\n",
-       "DoorDash, Inc.                     69,393  22,389   50,328   42,848  33,151   \n",
-       "Wag Labs, Inc.                     35,822  13,098   26,313   34,604  27,086   \n",
-       "Shipt                              17,162  14,068   26,709   23,587  17,582   \n",
-       "Uber B.V. - Uber LatAm Compliance   7,647   6,767   20,436   15,438  12,690   \n",
-       "\n",
-       "                                   2023-03 2023-04  \n",
-       "Organization                                        \n",
-       "Bolt Operations OÜ                 127,561  60,639  \n",
-       "DoorDash, Inc.                      67,571  18,546  \n",
-       "Wag Labs, Inc.                      29,255   8,428  \n",
-       "Shipt                               17,752   7,378  \n",
-       "Uber B.V. - Uber LatAm Compliance   14,387   4,351  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr = pd.read_csv(\"/Users/normrasmussen/Downloads/cust_arr.csv\", index_col=0, header=[0])\n",
-    "usage = pd.read_csv(\"/Users/normrasmussen/Downloads/mal_usage.csv\",  index_col=0, header=[0])\n",
-    "\n",
-    "arr.head(5)\n",
-    "usage.head(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Organization</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Bolt Operations OÜ</th>\n",
-       "      <td>97468</td>\n",
-       "      <td>102323</td>\n",
-       "      <td>103429</td>\n",
-       "      <td>110565</td>\n",
-       "      <td>96365</td>\n",
-       "      <td>70664</td>\n",
-       "      <td>65419</td>\n",
-       "      <td>118317</td>\n",
-       "      <td>104262</td>\n",
-       "      <td>91525</td>\n",
-       "      <td>127561</td>\n",
-       "      <td>60639</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>DoorDash, Inc.</th>\n",
-       "      <td>4601</td>\n",
-       "      <td>6815</td>\n",
-       "      <td>13510</td>\n",
-       "      <td>12470</td>\n",
-       "      <td>29070</td>\n",
-       "      <td>69393</td>\n",
-       "      <td>22389</td>\n",
-       "      <td>50328</td>\n",
-       "      <td>42848</td>\n",
-       "      <td>33151</td>\n",
-       "      <td>67571</td>\n",
-       "      <td>18546</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Wag Labs, Inc.</th>\n",
-       "      <td>159524</td>\n",
-       "      <td>4379</td>\n",
-       "      <td>86345</td>\n",
-       "      <td>60850</td>\n",
-       "      <td>3585</td>\n",
-       "      <td>35822</td>\n",
-       "      <td>13098</td>\n",
-       "      <td>26313</td>\n",
-       "      <td>34604</td>\n",
-       "      <td>27086</td>\n",
-       "      <td>29255</td>\n",
-       "      <td>8428</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Shipt</th>\n",
-       "      <td>29247</td>\n",
-       "      <td>32858</td>\n",
-       "      <td>30362</td>\n",
-       "      <td>30494</td>\n",
-       "      <td>25022</td>\n",
-       "      <td>17162</td>\n",
-       "      <td>14068</td>\n",
-       "      <td>26709</td>\n",
-       "      <td>23587</td>\n",
-       "      <td>17582</td>\n",
-       "      <td>17752</td>\n",
-       "      <td>7378</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Uber B.V. - Uber LatAm Compliance</th>\n",
-       "      <td>11488</td>\n",
-       "      <td>12300</td>\n",
-       "      <td>11893</td>\n",
-       "      <td>13223</td>\n",
-       "      <td>11859</td>\n",
-       "      <td>7647</td>\n",
-       "      <td>6767</td>\n",
-       "      <td>20436</td>\n",
-       "      <td>15438</td>\n",
-       "      <td>12690</td>\n",
-       "      <td>14387</td>\n",
-       "      <td>4351</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                   2022-05  2022-06  2022-07  2022-08   \n",
-       "Organization                                                            \n",
-       "Bolt Operations OÜ                   97468   102323   103429   110565  \\\n",
-       "DoorDash, Inc.                        4601     6815    13510    12470   \n",
-       "Wag Labs, Inc.                      159524     4379    86345    60850   \n",
-       "Shipt                                29247    32858    30362    30494   \n",
-       "Uber B.V. - Uber LatAm Compliance    11488    12300    11893    13223   \n",
-       "\n",
-       "                                   2022-09  2022-10  2022-11  2022-12   \n",
-       "Organization                                                            \n",
-       "Bolt Operations OÜ                   96365    70664    65419   118317  \\\n",
-       "DoorDash, Inc.                       29070    69393    22389    50328   \n",
-       "Wag Labs, Inc.                        3585    35822    13098    26313   \n",
-       "Shipt                                25022    17162    14068    26709   \n",
-       "Uber B.V. - Uber LatAm Compliance    11859     7647     6767    20436   \n",
-       "\n",
-       "                                   2023-01  2023-02  2023-03  2023-04  \n",
-       "Organization                                                           \n",
-       "Bolt Operations OÜ                  104262    91525   127561    60639  \n",
-       "DoorDash, Inc.                       42848    33151    67571    18546  \n",
-       "Wag Labs, Inc.                       34604    27086    29255     8428  \n",
-       "Shipt                                23587    17582    17752     7378  \n",
-       "Uber B.V. - Uber LatAm Compliance    15438    12690    14387     4351  "
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Replace all NaN values with 0\n",
-    "usage.fillna(0, inplace=True)\n",
-    "arr.fillna(0, inplace=True)\n",
-    "\n",
-    "# Remove all commas from strings\n",
-    "usage.replace(',','', regex=True, inplace=True)\n",
-    "arr.replace(',','', regex=True, inplace=True)\n",
-    "\n",
-    "# Convert all strings after the column 'Churn Data' to integers\n",
-    "for col in usage.columns[0:]:\n",
-    "    usage[col] = usage[col].astype(int)\n",
-    "\n",
-    "usage.head(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ARR</th>\n",
-       "      <th>Renewaldate Date</th>\n",
-       "      <th>CSM</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Organization</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Stuart</th>\n",
-       "      <td>0</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HelloTech Inc.</th>\n",
-       "      <td>17400</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Shopify Inc.</th>\n",
-       "      <td>36000</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Hardskills Pte. Ltd</th>\n",
-       "      <td>12138</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Shipt</th>\n",
-       "      <td>96356</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Nergis Tepeli</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SPS Commerce</th>\n",
-       "      <td>51000</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CDP</th>\n",
-       "      <td>5000</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Altenew</th>\n",
-       "      <td>10000</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BrightMove</th>\n",
-       "      <td>4500</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SITA B.V.  c/o Malta International Airport</th>\n",
-       "      <td>9888</td>\n",
-       "      <td>2023-01-01</td>\n",
-       "      <td>Support</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                              ARR Renewaldate Date   \n",
-       "Organization                                                         \n",
-       "Stuart                                          0       2023-01-01  \\\n",
-       "HelloTech Inc.                              17400       2023-01-01   \n",
-       "Shopify Inc.                                36000       2023-01-01   \n",
-       "Hardskills Pte. Ltd                         12138       2023-01-01   \n",
-       "Shipt                                       96356       2023-01-01   \n",
-       "SPS Commerce                                51000       2023-01-01   \n",
-       "CDP                                          5000       2023-01-01   \n",
-       "Altenew                                     10000       2023-01-01   \n",
-       "BrightMove                                   4500       2023-01-01   \n",
-       "SITA B.V.  c/o Malta International Airport   9888       2023-01-01   \n",
-       "\n",
-       "                                                       CSM  \n",
-       "Organization                                                \n",
-       "Stuart                                             Support  \n",
-       "HelloTech Inc.                                     Support  \n",
-       "Shopify Inc.                                       Support  \n",
-       "Hardskills Pte. Ltd                                Support  \n",
-       "Shipt                                        Nergis Tepeli  \n",
-       "SPS Commerce                                Norm Rasmussen  \n",
-       "CDP                                                Support  \n",
-       "Altenew                                            Support  \n",
-       "BrightMove                                         Support  \n",
-       "SITA B.V.  c/o Malta International Airport         Support  "
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ARR</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Organization</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Stuart</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HelloTech Inc.</th>\n",
-       "      <td>17400</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Shopify Inc.</th>\n",
-       "      <td>36000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Hardskills Pte. Ltd</th>\n",
-       "      <td>12138</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Shipt</th>\n",
-       "      <td>96356</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Training Concepts</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Luma Health, Inc.</th>\n",
-       "      <td>20000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>FRSecure</th>\n",
-       "      <td>15000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MedicalDirector</th>\n",
-       "      <td>20000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>NaN</th>\n",
-       "      <td>6897104</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>354 rows × 1 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                         ARR\n",
-       "Organization                \n",
-       "Stuart                     0\n",
-       "HelloTech Inc.         17400\n",
-       "Shopify Inc.           36000\n",
-       "Hardskills Pte. Ltd    12138\n",
-       "Shipt                  96356\n",
-       "...                      ...\n",
-       "Training Concepts          0\n",
-       "Luma Health, Inc.      20000\n",
-       "FRSecure               15000\n",
-       "MedicalDirector        20000\n",
-       "NaN                  6897104\n",
-       "\n",
-       "[354 rows x 1 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr['ARR'] = arr['ARR'].astype(int)\n",
-    "\n",
-    "arr = arr.copy()\n",
-    "arr.drop(axis=1, columns=['Renewaldate Date', 'CSM'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "      <th>ARR</th>\n",
-       "      <th>Renewaldate Date</th>\n",
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-       "  <tbody>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [ARR, Renewaldate Date, CSM]\n",
-       "Index: []"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr.loc[arr.index == 'Walmart']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "      <th>ARR</th>\n",
-       "      <th>Renewaldate Date</th>\n",
-       "      <th>CSM</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Organization</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Toni and Guy Sandbox</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>305 Fitness, Inc.</th>\n",
-       "      <td>163</td>\n",
-       "      <td>133</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3P</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AIIM</th>\n",
-       "      <td>154</td>\n",
-       "      <td>167</td>\n",
-       "      <td>136</td>\n",
-       "      <td>169</td>\n",
-       "      <td>180</td>\n",
-       "      <td>120</td>\n",
-       "      <td>118</td>\n",
-       "      <td>185</td>\n",
-       "      <td>246</td>\n",
-       "      <td>170</td>\n",
-       "      <td>179</td>\n",
-       "      <td>74</td>\n",
-       "      <td>22000.0</td>\n",
-       "      <td>2023-07-31</td>\n",
-       "      <td>Norm Rasmussen</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>APLS</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                       2022-05  2022-06  2022-07  2022-08  2022-09  2022-10   \n",
-       "Organization                                                                  \n",
-       " Toni and Guy Sandbox        0        0        0        2        2        2  \\\n",
-       "305 Fitness, Inc.          163      133        1        0        0        0   \n",
-       "3P                           0        0        0        3        0        0   \n",
-       "AIIM                       154      167      136      169      180      120   \n",
-       "APLS                         0        0        0        0        0        0   \n",
-       "\n",
-       "                       2022-11  2022-12  2023-01  2023-02  2023-03  2023-04   \n",
-       "Organization                                                                  \n",
-       " Toni and Guy Sandbox        0        1        0        0        0        0  \\\n",
-       "305 Fitness, Inc.            0        0        0        0        0        0   \n",
-       "3P                           0        0        0        0        0        0   \n",
-       "AIIM                       118      185      246      170      179       74   \n",
-       "APLS                         1        0        0        0        0        0   \n",
-       "\n",
-       "                           ARR Renewaldate Date             CSM  \n",
-       "Organization                                                     \n",
-       " Toni and Guy Sandbox      NaN              NaN             NaN  \n",
-       "305 Fitness, Inc.          NaN              NaN             NaN  \n",
-       "3P                         NaN              NaN             NaN  \n",
-       "AIIM                   22000.0       2023-07-31  Norm Rasmussen  \n",
-       "APLS                       NaN              NaN             NaN  "
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newdf = usage.join(arr)\n",
-    "newdf.head(5)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Organization\n",
-       " Toni and Guy Sandbox        0\n",
-       "305 Fitness, Inc.            0\n",
-       "3P                           0\n",
-       "AIIM                     22000\n",
-       "APLS                         0\n",
-       "Name: ARR, dtype: int64"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newdf['ARR'].fillna(0, inplace=True)\n",
-    "newdf['ARR'] = newdf['ARR'].astype(int)\n",
-    "newdf['ARR'].head(5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "newdf = newdf.drop(axis=1, columns=['Renewaldate Date', 'CSM'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "      <th>ARR</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Organization</th>\n",
-       "      <th></th>\n",
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-       "  <tbody>\n",
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-       "      <th>Toni and Guy Sandbox</th>\n",
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-       "    <tr>\n",
-       "      <th>305 Fitness, Inc.</th>\n",
-       "      <td>163</td>\n",
-       "      <td>133</td>\n",
-       "      <td>1</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3P</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AIIM</th>\n",
-       "      <td>154</td>\n",
-       "      <td>167</td>\n",
-       "      <td>136</td>\n",
-       "      <td>169</td>\n",
-       "      <td>180</td>\n",
-       "      <td>120</td>\n",
-       "      <td>118</td>\n",
-       "      <td>185</td>\n",
-       "      <td>246</td>\n",
-       "      <td>170</td>\n",
-       "      <td>179</td>\n",
-       "      <td>74</td>\n",
-       "      <td>22000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>APLS</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ASAPP</th>\n",
-       "      <td>121</td>\n",
-       "      <td>103</td>\n",
-       "      <td>62</td>\n",
-       "      <td>95</td>\n",
-       "      <td>68</td>\n",
-       "      <td>42</td>\n",
-       "      <td>27</td>\n",
-       "      <td>49</td>\n",
-       "      <td>83</td>\n",
-       "      <td>110</td>\n",
-       "      <td>103</td>\n",
-       "      <td>27</td>\n",
-       "      <td>9500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Access E-Forms</th>\n",
-       "      <td>9</td>\n",
-       "      <td>14</td>\n",
-       "      <td>19</td>\n",
-       "      <td>15</td>\n",
-       "      <td>13</td>\n",
-       "      <td>7</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1872</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AchieveCE</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ActiveViam</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Adcellerant</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>17</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                       2022-05  2022-06  2022-07  2022-08  2022-09  2022-10   \n",
-       "Organization                                                                  \n",
-       " Toni and Guy Sandbox        0        0        0        2        2        2  \\\n",
-       "305 Fitness, Inc.          163      133        1        0        0        0   \n",
-       "3P                           0        0        0        3        0        0   \n",
-       "AIIM                       154      167      136      169      180      120   \n",
-       "APLS                         0        0        0        0        0        0   \n",
-       "ASAPP                      121      103       62       95       68       42   \n",
-       "Access E-Forms               9       14       19       15       13        7   \n",
-       "AchieveCE                    0        0        0        0        0        0   \n",
-       "ActiveViam                   0        0        0        0        0        1   \n",
-       "Adcellerant                  0        0        0        0        0        0   \n",
-       "\n",
-       "                       2022-11  2022-12  2023-01  2023-02  2023-03  2023-04   \n",
-       "Organization                                                                  \n",
-       " Toni and Guy Sandbox        0        1        0        0        0        0  \\\n",
-       "305 Fitness, Inc.            0        0        0        0        0        0   \n",
-       "3P                           0        0        0        0        0        0   \n",
-       "AIIM                       118      185      246      170      179       74   \n",
-       "APLS                         1        0        0        0        0        0   \n",
-       "ASAPP                       27       49       83      110      103       27   \n",
-       "Access E-Forms               2        5        6        5        1        5   \n",
-       "AchieveCE                    0        0        1        2        0        0   \n",
-       "ActiveViam                   0        0        0        0        0        0   \n",
-       "Adcellerant                  0        4        2        1       18       17   \n",
-       "\n",
-       "                         ARR  \n",
-       "Organization                  \n",
-       " Toni and Guy Sandbox      0  \n",
-       "305 Fitness, Inc.          0  \n",
-       "3P                         0  \n",
-       "AIIM                   22000  \n",
-       "APLS                       0  \n",
-       "ASAPP                   9500  \n",
-       "Access E-Forms          1872  \n",
-       "AchieveCE                  0  \n",
-       "ActiveViam                 0  \n",
-       "Adcellerant                0  "
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "newdf.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div style=\"display:flex;flex-direction:row;justify-content:space-between;\">\n",
-       "                <pre style=\"width: 100%; white-space: pre-wrap;\" id=\"d9c0c7b9-b9b8-426b-80cb-55fc9e95aba5\">\n",
-       "# Calculate the total number of learners for each month\n",
-       "newdf['total_learners'] = newdf[['2022-05', '2022-06', '2022-07', '2022-08', '2022-09', '2022-10', '2022-11', '2022-12', '2023-01', '2023-02', '2023-03', '2023-04']].sum(axis=1)\n",
-       "\n",
-       "# Calculate the difference between the ARR and the total number of learners\n",
-       "newdf['difference'] = newdf['ARR'] - newdf['total_learners']\n",
-       "\n",
-       "# Print the results\n",
-       "print(newdf[['Organization','ARR','total_learners','difference']])\n",
-       "</pre>\n",
-       "                <button style=\"height: fit-content;\" onclick=\"navigator.clipboard.writeText(JSON.parse(atob(`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`)))\">Copy</button>\n",
-       "                </div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "newdf.sketch.howto(\"Compare the number of learners each month with the ARR value\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "      <th>ARR</th>\n",
-       "      <th>total_learners</th>\n",
-       "      <th>difference</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Organization</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Toni and Guy Sandbox</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>7</td>\n",
-       "      <td>-7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>305 Fitness, Inc.</th>\n",
-       "      <td>163</td>\n",
-       "      <td>133</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>134</td>\n",
-       "      <td>-134</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3P</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AIIM</th>\n",
-       "      <td>154</td>\n",
-       "      <td>167</td>\n",
-       "      <td>136</td>\n",
-       "      <td>169</td>\n",
-       "      <td>180</td>\n",
-       "      <td>120</td>\n",
-       "      <td>118</td>\n",
-       "      <td>185</td>\n",
-       "      <td>246</td>\n",
-       "      <td>170</td>\n",
-       "      <td>179</td>\n",
-       "      <td>74</td>\n",
-       "      <td>22000</td>\n",
-       "      <td>1670</td>\n",
-       "      <td>20330</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>APLS</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ASAPP</th>\n",
-       "      <td>121</td>\n",
-       "      <td>103</td>\n",
-       "      <td>62</td>\n",
-       "      <td>95</td>\n",
-       "      <td>68</td>\n",
-       "      <td>42</td>\n",
-       "      <td>27</td>\n",
-       "      <td>49</td>\n",
-       "      <td>83</td>\n",
-       "      <td>110</td>\n",
-       "      <td>103</td>\n",
-       "      <td>27</td>\n",
-       "      <td>9500</td>\n",
-       "      <td>742</td>\n",
-       "      <td>8758</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Access E-Forms</th>\n",
-       "      <td>9</td>\n",
-       "      <td>14</td>\n",
-       "      <td>19</td>\n",
-       "      <td>15</td>\n",
-       "      <td>13</td>\n",
-       "      <td>7</td>\n",
-       "      <td>2</td>\n",
-       "      <td>5</td>\n",
-       "      <td>6</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1872</td>\n",
-       "      <td>87</td>\n",
-       "      <td>1785</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AchieveCE</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ActiveViam</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Adcellerant</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>18</td>\n",
-       "      <td>17</td>\n",
-       "      <td>0</td>\n",
-       "      <td>25</td>\n",
-       "      <td>-25</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Adkins Management and Consulting</th>\n",
-       "      <td>6</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2</td>\n",
-       "      <td>10</td>\n",
-       "      <td>11</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2</td>\n",
-       "      <td>7</td>\n",
-       "      <td>15</td>\n",
-       "      <td>5</td>\n",
-       "      <td>7</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1500</td>\n",
-       "      <td>71</td>\n",
-       "      <td>1429</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AgencyBloc</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>277</td>\n",
-       "      <td>400</td>\n",
-       "      <td>578</td>\n",
-       "      <td>159</td>\n",
-       "      <td>14438</td>\n",
-       "      <td>1262</td>\n",
-       "      <td>13176</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Agility Robotics</th>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>8</td>\n",
-       "      <td>30</td>\n",
-       "      <td>35</td>\n",
-       "      <td>37</td>\n",
-       "      <td>137</td>\n",
-       "      <td>116</td>\n",
-       "      <td>41</td>\n",
-       "      <td>47</td>\n",
-       "      <td>18</td>\n",
-       "      <td>26000</td>\n",
-       "      <td>455</td>\n",
-       "      <td>25545</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AgriWebb</th>\n",
-       "      <td>187</td>\n",
-       "      <td>161</td>\n",
-       "      <td>167</td>\n",
-       "      <td>186</td>\n",
-       "      <td>192</td>\n",
-       "      <td>104</td>\n",
-       "      <td>80</td>\n",
-       "      <td>97</td>\n",
-       "      <td>140</td>\n",
-       "      <td>112</td>\n",
-       "      <td>215</td>\n",
-       "      <td>44</td>\n",
-       "      <td>23000</td>\n",
-       "      <td>1454</td>\n",
-       "      <td>21546</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Akua Mind &amp; Body</th>\n",
-       "      <td>53</td>\n",
-       "      <td>36</td>\n",
-       "      <td>47</td>\n",
-       "      <td>181</td>\n",
-       "      <td>37</td>\n",
-       "      <td>21</td>\n",
-       "      <td>13</td>\n",
-       "      <td>122</td>\n",
-       "      <td>42</td>\n",
-       "      <td>43</td>\n",
-       "      <td>66</td>\n",
-       "      <td>28</td>\n",
-       "      <td>6000</td>\n",
-       "      <td>608</td>\n",
-       "      <td>5392</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>All About Ability</th>\n",
-       "      <td>6</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>9</td>\n",
-       "      <td>5</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>49</td>\n",
-       "      <td>-49</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Alston Construction</th>\n",
-       "      <td>97</td>\n",
-       "      <td>138</td>\n",
-       "      <td>229</td>\n",
-       "      <td>220</td>\n",
-       "      <td>140</td>\n",
-       "      <td>175</td>\n",
-       "      <td>96</td>\n",
-       "      <td>371</td>\n",
-       "      <td>226</td>\n",
-       "      <td>124</td>\n",
-       "      <td>120</td>\n",
-       "      <td>22</td>\n",
-       "      <td>12232</td>\n",
-       "      <td>1839</td>\n",
-       "      <td>10393</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Alston Construction</th>\n",
-       "      <td>97</td>\n",
-       "      <td>138</td>\n",
-       "      <td>229</td>\n",
-       "      <td>220</td>\n",
-       "      <td>140</td>\n",
-       "      <td>175</td>\n",
-       "      <td>96</td>\n",
-       "      <td>371</td>\n",
-       "      <td>226</td>\n",
-       "      <td>124</td>\n",
-       "      <td>120</td>\n",
-       "      <td>22</td>\n",
-       "      <td>5568</td>\n",
-       "      <td>1839</td>\n",
-       "      <td>3729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Altenew</th>\n",
-       "      <td>566</td>\n",
-       "      <td>412</td>\n",
-       "      <td>425</td>\n",
-       "      <td>452</td>\n",
-       "      <td>302</td>\n",
-       "      <td>197</td>\n",
-       "      <td>166</td>\n",
-       "      <td>264</td>\n",
-       "      <td>387</td>\n",
-       "      <td>1111</td>\n",
-       "      <td>713</td>\n",
-       "      <td>175</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>4429</td>\n",
-       "      <td>5571</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Altima Dental Canada</th>\n",
-       "      <td>23</td>\n",
-       "      <td>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>29</td>\n",
-       "      <td>23</td>\n",
-       "      <td>12</td>\n",
-       "      <td>4</td>\n",
-       "      <td>16</td>\n",
-       "      <td>13</td>\n",
-       "      <td>14</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>7474</td>\n",
-       "      <td>171</td>\n",
-       "      <td>7303</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>American Concrete Pipe Association</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>20</td>\n",
-       "      <td>69</td>\n",
-       "      <td>72</td>\n",
-       "      <td>119</td>\n",
-       "      <td>110</td>\n",
-       "      <td>63</td>\n",
-       "      <td>13</td>\n",
-       "      <td>20000</td>\n",
-       "      <td>467</td>\n",
-       "      <td>19533</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>American State Bank</th>\n",
-       "      <td>19</td>\n",
-       "      <td>25</td>\n",
-       "      <td>16</td>\n",
-       "      <td>25</td>\n",
-       "      <td>8</td>\n",
-       "      <td>5</td>\n",
-       "      <td>8</td>\n",
-       "      <td>8</td>\n",
-       "      <td>1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>60</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7680</td>\n",
-       "      <td>303</td>\n",
-       "      <td>7377</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Amyris</th>\n",
-       "      <td>105</td>\n",
-       "      <td>107</td>\n",
-       "      <td>80</td>\n",
-       "      <td>84</td>\n",
-       "      <td>63</td>\n",
-       "      <td>50</td>\n",
-       "      <td>99</td>\n",
-       "      <td>148</td>\n",
-       "      <td>76</td>\n",
-       "      <td>31</td>\n",
-       "      <td>169</td>\n",
-       "      <td>43</td>\n",
-       "      <td>23910</td>\n",
-       "      <td>907</td>\n",
-       "      <td>23003</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Anchain.ai</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>40</td>\n",
-       "      <td>14</td>\n",
-       "      <td>13</td>\n",
-       "      <td>21</td>\n",
-       "      <td>16</td>\n",
-       "      <td>4</td>\n",
-       "      <td>15000</td>\n",
-       "      <td>105</td>\n",
-       "      <td>14895</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Anchor Labs, LLC</th>\n",
-       "      <td>159</td>\n",
-       "      <td>97</td>\n",
-       "      <td>155</td>\n",
-       "      <td>185</td>\n",
-       "      <td>105</td>\n",
-       "      <td>91</td>\n",
-       "      <td>93</td>\n",
-       "      <td>120</td>\n",
-       "      <td>53</td>\n",
-       "      <td>39</td>\n",
-       "      <td>45</td>\n",
-       "      <td>20</td>\n",
-       "      <td>11000</td>\n",
-       "      <td>983</td>\n",
-       "      <td>10017</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Anchor QEA, LLC</th>\n",
-       "      <td>102</td>\n",
-       "      <td>80</td>\n",
-       "      <td>76</td>\n",
-       "      <td>141</td>\n",
-       "      <td>171</td>\n",
-       "      <td>76</td>\n",
-       "      <td>53</td>\n",
-       "      <td>191</td>\n",
-       "      <td>127</td>\n",
-       "      <td>125</td>\n",
-       "      <td>110</td>\n",
-       "      <td>30</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>1150</td>\n",
-       "      <td>8850</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AndHealth</th>\n",
-       "      <td>3</td>\n",
-       "      <td>6</td>\n",
-       "      <td>14</td>\n",
-       "      <td>27</td>\n",
-       "      <td>15</td>\n",
-       "      <td>16</td>\n",
-       "      <td>9</td>\n",
-       "      <td>28</td>\n",
-       "      <td>48</td>\n",
-       "      <td>27</td>\n",
-       "      <td>38</td>\n",
-       "      <td>16</td>\n",
-       "      <td>30000</td>\n",
-       "      <td>228</td>\n",
-       "      <td>29772</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ansan Industries Ltd.</th>\n",
-       "      <td>144</td>\n",
-       "      <td>163</td>\n",
-       "      <td>166</td>\n",
-       "      <td>127</td>\n",
-       "      <td>140</td>\n",
-       "      <td>94</td>\n",
-       "      <td>54</td>\n",
-       "      <td>68</td>\n",
-       "      <td>109</td>\n",
-       "      <td>94</td>\n",
-       "      <td>111</td>\n",
-       "      <td>21</td>\n",
-       "      <td>13848</td>\n",
-       "      <td>1126</td>\n",
-       "      <td>12722</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Antipodeans</th>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Apoyo Holdings</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Aquent</th>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43</td>\n",
-       "      <td>27</td>\n",
-       "      <td>24</td>\n",
-       "      <td>26</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8</td>\n",
-       "      <td>10</td>\n",
-       "      <td>2</td>\n",
-       "      <td>6960</td>\n",
-       "      <td>288</td>\n",
-       "      <td>6672</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Arrcus</th>\n",
-       "      <td>0</td>\n",
-       "      <td>11</td>\n",
-       "      <td>79</td>\n",
-       "      <td>54</td>\n",
-       "      <td>4</td>\n",
-       "      <td>4</td>\n",
-       "      <td>16</td>\n",
-       "      <td>31</td>\n",
-       "      <td>10</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>9360</td>\n",
-       "      <td>215</td>\n",
-       "      <td>9145</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Artsy</th>\n",
-       "      <td>8</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>21000</td>\n",
-       "      <td>38</td>\n",
-       "      <td>20962</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Artsy</th>\n",
-       "      <td>8</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10</td>\n",
-       "      <td>9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>21000</td>\n",
-       "      <td>38</td>\n",
-       "      <td>20962</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>At World Properties, LLC</th>\n",
-       "      <td>613</td>\n",
-       "      <td>528</td>\n",
-       "      <td>414</td>\n",
-       "      <td>525</td>\n",
-       "      <td>386</td>\n",
-       "      <td>343</td>\n",
-       "      <td>245</td>\n",
-       "      <td>526</td>\n",
-       "      <td>767</td>\n",
-       "      <td>748</td>\n",
-       "      <td>676</td>\n",
-       "      <td>141</td>\n",
-       "      <td>87500</td>\n",
-       "      <td>5158</td>\n",
-       "      <td>82342</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Atlan</th>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Atlassian</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AustinJooProd</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>AutoServe1</th>\n",
-       "      <td>267</td>\n",
-       "      <td>231</td>\n",
-       "      <td>188</td>\n",
-       "      <td>397</td>\n",
-       "      <td>553</td>\n",
-       "      <td>191</td>\n",
-       "      <td>231</td>\n",
-       "      <td>266</td>\n",
-       "      <td>408</td>\n",
-       "      <td>433</td>\n",
-       "      <td>486</td>\n",
-       "      <td>98</td>\n",
-       "      <td>13608</td>\n",
-       "      <td>3384</td>\n",
-       "      <td>10224</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Axios Media Inc.</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>30</td>\n",
-       "      <td>10</td>\n",
-       "      <td>11</td>\n",
-       "      <td>25</td>\n",
-       "      <td>62</td>\n",
-       "      <td>26</td>\n",
-       "      <td>16</td>\n",
-       "      <td>20</td>\n",
-       "      <td>1</td>\n",
-       "      <td>24250</td>\n",
-       "      <td>203</td>\n",
-       "      <td>24047</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Babierge</th>\n",
-       "      <td>54</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BambooHR</th>\n",
-       "      <td>2263</td>\n",
-       "      <td>2143</td>\n",
-       "      <td>2060</td>\n",
-       "      <td>587</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>10000</td>\n",
-       "      <td>4790</td>\n",
-       "      <td>5210</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Bean Group</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>-2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Become.Education</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>-5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Bellhop, Inc</th>\n",
-       "      <td>67</td>\n",
-       "      <td>21</td>\n",
-       "      <td>31</td>\n",
-       "      <td>7</td>\n",
-       "      <td>51</td>\n",
-       "      <td>118</td>\n",
-       "      <td>139</td>\n",
-       "      <td>209</td>\n",
-       "      <td>88</td>\n",
-       "      <td>89</td>\n",
-       "      <td>120</td>\n",
-       "      <td>15</td>\n",
-       "      <td>37161</td>\n",
-       "      <td>873</td>\n",
-       "      <td>36288</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Belmont Farm Nursery School</th>\n",
-       "      <td>10</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>31</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>66</td>\n",
-       "      <td>-66</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Beyond Local</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>-1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BioLife Solutions, Inc.</th>\n",
-       "      <td>4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5000</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BirchStreet</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>-3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BlackWolf Consultants, Inc.</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                    2022-05  2022-06  2022-07  2022-08   \n",
-       "Organization                                                             \n",
-       " Toni and Guy Sandbox                     0        0        0        2  \\\n",
-       "305 Fitness, Inc.                       163      133        1        0   \n",
-       "3P                                        0        0        0        3   \n",
-       "AIIM                                    154      167      136      169   \n",
-       "APLS                                      0        0        0        0   \n",
-       "ASAPP                                   121      103       62       95   \n",
-       "Access E-Forms                            9       14       19       15   \n",
-       "AchieveCE                                 0        0        0        0   \n",
-       "ActiveViam                                0        0        0        0   \n",
-       "Adcellerant                               0        0        0        0   \n",
-       "Adkins Management and Consulting          6        6        2       10   \n",
-       "AgencyBloc                                0        0        0        1   \n",
-       "Agility Robotics                          0        2        2        8   \n",
-       "AgriWebb                                187      161      167      186   \n",
-       "Akua Mind & Body                         53       36       47      181   \n",
-       "All About Ability                         6        7        4        5   \n",
-       "Alston Construction                      97      138      229      220   \n",
-       "Alston Construction                      97      138      229      220   \n",
-       "Altenew                                 566      412      425      452   \n",
-       "Altima Dental Canada                     23       25       25       29   \n",
-       "American Concrete Pipe Association        0        0        0        0   \n",
-       "American State Bank                      19       25       16       25   \n",
-       "Amyris                                  105      107       80       84   \n",
-       "Anchain.ai                                0        0        0        0   \n",
-       "Anchor Labs, LLC                        159       97      155      185   \n",
-       "Anchor QEA, LLC                         102       80       76      141   \n",
-       "AndHealth                                 3        6       14       27   \n",
-       "Ansan Industries Ltd.                   144      163      166      127   \n",
-       "Antipodeans                               0        1        0        0   \n",
-       "Apoyo Holdings                            2        2        0        0   \n",
-       "Aquent                                   39       36       46       46   \n",
-       "Arrcus                                    0       11       79       54   \n",
-       "Artsy                                     8        7        4        3   \n",
-       "Artsy                                     8        7        4        3   \n",
-       "At World Properties, LLC                613      528      414      525   \n",
-       "Atlan                                     2        0        0        0   \n",
-       "Atlassian                                 2        3        0        0   \n",
-       "AustinJooProd                             0        0        0        0   \n",
-       "AutoServe1                              267      231      188      397   \n",
-       "Axios Media Inc.                          0        0        3       30   \n",
-       "Babierge                                 54        0        0        0   \n",
-       "BambooHR                               2263     2143     2060      587   \n",
-       "Bean Group                                0        0        0        2   \n",
-       "Become.Education                          0        0        1        2   \n",
-       "Bellhop, Inc                             67       21       31        7   \n",
-       "Belmont Farm Nursery School              10       11        4       31   \n",
-       "Beyond Local                              0        0        0        0   \n",
-       "BioLife Solutions, Inc.                   4        0        0        0   \n",
-       "BirchStreet                               0        0        0        0   \n",
-       "BlackWolf Consultants, Inc.               1        0        0        0   \n",
-       "\n",
-       "                                    2022-09  2022-10  2022-11  2022-12   \n",
-       "Organization                                                             \n",
-       " Toni and Guy Sandbox                     2        2        0        1  \\\n",
-       "305 Fitness, Inc.                         0        0        0        0   \n",
-       "3P                                        0        0        0        0   \n",
-       "AIIM                                    180      120      118      185   \n",
-       "APLS                                      0        0        1        0   \n",
-       "ASAPP                                    68       42       27       49   \n",
-       "Access E-Forms                           13        7        2        5   \n",
-       "AchieveCE                                 0        0        0        0   \n",
-       "ActiveViam                                0        1        0        0   \n",
-       "Adcellerant                               0        0        0        4   \n",
-       "Adkins Management and Consulting         11        6        2        7   \n",
-       "AgencyBloc                                0        0        1        5   \n",
-       "Agility Robotics                         30       35       37      137   \n",
-       "AgriWebb                                192      104       80       97   \n",
-       "Akua Mind & Body                         37       21       13      122   \n",
-       "All About Ability                         9        5        4        4   \n",
-       "Alston Construction                     140      175       96      371   \n",
-       "Alston Construction                     140      175       96      371   \n",
-       "Altenew                                 302      197      166      264   \n",
-       "Altima Dental Canada                     23       12        4       16   \n",
-       "American Concrete Pipe Association       14       20       69       72   \n",
-       "American State Bank                       8        5        8        8   \n",
-       "Amyris                                   63       50       99      148   \n",
-       "Anchain.ai                                1        0       40       14   \n",
-       "Anchor Labs, LLC                        105       91       93      120   \n",
-       "Anchor QEA, LLC                         171       76       53      191   \n",
-       "AndHealth                                15       16        9       28   \n",
-       "Ansan Industries Ltd.                   140       94       54       68   \n",
-       "Antipodeans                               0        0        0        0   \n",
-       "Apoyo Holdings                            0        0        0        0   \n",
-       "Aquent                                   43       27       24       26   \n",
-       "Arrcus                                    4        4       16       31   \n",
-       "Artsy                                     4        0       10        9   \n",
-       "Artsy                                     4        0       10        9   \n",
-       "At World Properties, LLC                386      343      245      526   \n",
-       "Atlan                                     0        0        0        0   \n",
-       "Atlassian                                 0        0        0        0   \n",
-       "AustinJooProd                             1        0        0        0   \n",
-       "AutoServe1                              553      191      231      266   \n",
-       "Axios Media Inc.                         10       11       25       62   \n",
-       "Babierge                                  0        0        0        0   \n",
-       "BambooHR                                  0        0        0        0   \n",
-       "Bean Group                                0        0        0        0   \n",
-       "Become.Education                          1        1        0        0   \n",
-       "Bellhop, Inc                             51      118      139      209   \n",
-       "Belmont Farm Nursery School               5        1        1        5   \n",
-       "Beyond Local                              0        0        0        1   \n",
-       "BioLife Solutions, Inc.                   0        0        0        0   \n",
-       "BirchStreet                               0        0        0        0   \n",
-       "BlackWolf Consultants, Inc.               0        0        0        0   \n",
-       "\n",
-       "                                    2023-01  2023-02  2023-03  2023-04    ARR   \n",
-       "Organization                                                                    \n",
-       " Toni and Guy Sandbox                     0        0        0        0      0  \\\n",
-       "305 Fitness, Inc.                         0        0        0        0      0   \n",
-       "3P                                        0        0        0        0      0   \n",
-       "AIIM                                    246      170      179       74  22000   \n",
-       "APLS                                      0        0        0        0      0   \n",
-       "ASAPP                                    83      110      103       27   9500   \n",
-       "Access E-Forms                            6        5        1        5   1872   \n",
-       "AchieveCE                                 1        2        0        0      0   \n",
-       "ActiveViam                                0        0        0        0      0   \n",
-       "Adcellerant                               2        1       18       17      0   \n",
-       "Adkins Management and Consulting         15        5        7        5   1500   \n",
-       "AgencyBloc                              277      400      578      159  14438   \n",
-       "Agility Robotics                        116       41       47       18  26000   \n",
-       "AgriWebb                                140      112      215       44  23000   \n",
-       "Akua Mind & Body                         42       43       66       28   6000   \n",
-       "All About Ability                         5        3        3        0      0   \n",
-       "Alston Construction                     226      124      120       22  12232   \n",
-       "Alston Construction                     226      124      120       22   5568   \n",
-       "Altenew                                 387     1111      713      175  10000   \n",
-       "Altima Dental Canada                     13       14       10        2   7474   \n",
-       "American Concrete Pipe Association      119      110       63       13  20000   \n",
-       "American State Bank                       1      147       60       11   7680   \n",
-       "Amyris                                   76       31      169       43  23910   \n",
-       "Anchain.ai                               13       21       16        4  15000   \n",
-       "Anchor Labs, LLC                         53       39       45       20  11000   \n",
-       "Anchor QEA, LLC                         127      125      110       30  10000   \n",
-       "AndHealth                                48       27       38       16  30000   \n",
-       "Ansan Industries Ltd.                   109       94      111       21  13848   \n",
-       "Antipodeans                               0        0        0        0      0   \n",
-       "Apoyo Holdings                            0        0        0        0      0   \n",
-       "Aquent                                   22        8       10        2   6960   \n",
-       "Arrcus                                   10        4        2        2   9360   \n",
-       "Artsy                                     0        1        0        0  21000   \n",
-       "Artsy                                     0        1        0        0  21000   \n",
-       "At World Properties, LLC                767      748      676      141  87500   \n",
-       "Atlan                                     0        0        0        0      0   \n",
-       "Atlassian                                 0        0        0        0      0   \n",
-       "AustinJooProd                             0        0        0        0      0   \n",
-       "AutoServe1                              408      433      486       98  13608   \n",
-       "Axios Media Inc.                         26       16       20        1  24250   \n",
-       "Babierge                                  0        0        0        0      0   \n",
-       "BambooHR                                  0        0        0        0  10000   \n",
-       "Bean Group                                0        0        0        0      0   \n",
-       "Become.Education                          0        0        0        0      0   \n",
-       "Bellhop, Inc                             88       89      120       15  37161   \n",
-       "Belmont Farm Nursery School               1        3        4        3      0   \n",
-       "Beyond Local                              0        0        0        0      0   \n",
-       "BioLife Solutions, Inc.                   0        0        0        0   5000   \n",
-       "BirchStreet                               0        0        3        0      0   \n",
-       "BlackWolf Consultants, Inc.               0        0        0        0      0   \n",
-       "\n",
-       "                                    total_learners  difference  \n",
-       "Organization                                                    \n",
-       " Toni and Guy Sandbox                            7          -7  \n",
-       "305 Fitness, Inc.                              134        -134  \n",
-       "3P                                               3          -3  \n",
-       "AIIM                                          1670       20330  \n",
-       "APLS                                             1          -1  \n",
-       "ASAPP                                          742        8758  \n",
-       "Access E-Forms                                  87        1785  \n",
-       "AchieveCE                                        3          -3  \n",
-       "ActiveViam                                       1          -1  \n",
-       "Adcellerant                                     25         -25  \n",
-       "Adkins Management and Consulting                71        1429  \n",
-       "AgencyBloc                                    1262       13176  \n",
-       "Agility Robotics                               455       25545  \n",
-       "AgriWebb                                      1454       21546  \n",
-       "Akua Mind & Body                               608        5392  \n",
-       "All About Ability                               49         -49  \n",
-       "Alston Construction                           1839       10393  \n",
-       "Alston Construction                           1839        3729  \n",
-       "Altenew                                       4429        5571  \n",
-       "Altima Dental Canada                           171        7303  \n",
-       "American Concrete Pipe Association             467       19533  \n",
-       "American State Bank                            303        7377  \n",
-       "Amyris                                         907       23003  \n",
-       "Anchain.ai                                     105       14895  \n",
-       "Anchor Labs, LLC                               983       10017  \n",
-       "Anchor QEA, LLC                               1150        8850  \n",
-       "AndHealth                                      228       29772  \n",
-       "Ansan Industries Ltd.                         1126       12722  \n",
-       "Antipodeans                                      1          -1  \n",
-       "Apoyo Holdings                                   2          -2  \n",
-       "Aquent                                         288        6672  \n",
-       "Arrcus                                         215        9145  \n",
-       "Artsy                                           38       20962  \n",
-       "Artsy                                           38       20962  \n",
-       "At World Properties, LLC                      5158       82342  \n",
-       "Atlan                                            0           0  \n",
-       "Atlassian                                        3          -3  \n",
-       "AustinJooProd                                    1          -1  \n",
-       "AutoServe1                                    3384       10224  \n",
-       "Axios Media Inc.                               203       24047  \n",
-       "Babierge                                         0           0  \n",
-       "BambooHR                                      4790        5210  \n",
-       "Bean Group                                       2          -2  \n",
-       "Become.Education                                 5          -5  \n",
-       "Bellhop, Inc                                   873       36288  \n",
-       "Belmont Farm Nursery School                     66         -66  \n",
-       "Beyond Local                                     1          -1  \n",
-       "BioLife Solutions, Inc.                          0        5000  \n",
-       "BirchStreet                                      3          -3  \n",
-       "BlackWolf Consultants, Inc.                      0           0  "
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Calculate the total number of learners for each month\n",
-    "newdf['total_learners'] = newdf.iloc[:,1:11].sum(axis=1)\n",
-    "\n",
-    "# Calculate the difference between the total number of learners and the ARR value\n",
-    "newdf['difference'] = newdf['ARR'] - newdf['total_learners']\n",
-    "newdf.head(50)\n",
-    "\n",
-    "# Print the results\n",
-    "#print(newdf[['Organization','total_learners','ARR','difference']])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: ylabel='Frequency'>"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "newdf.T.plot.hist()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "jupyter",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Scripts/Jupyter/cust_counts.ipynb b/Scripts/Jupyter/cust_counts.ipynb
deleted file mode 100644
index 3eb162b7..00000000
--- a/Scripts/Jupyter/cust_counts.ipynb
+++ /dev/null
@@ -1,725 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd \n",
-    "import numpy as np \n",
-    "import seaborn as sns \n",
-    "import matplotlib.pylab as plt \n",
-    "import sketch\n",
-    "#plt.style.use('ggplot')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "cust_id           int64\n",
-       "name             object\n",
-       "admins            int64\n",
-       "courses           int64\n",
-       "templates         int64\n",
-       "docs              int64\n",
-       "managers          int64\n",
-       "presentations     int64\n",
-       "scorm             int64\n",
-       "videos            int64\n",
-       "arr               int64\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "counts = pd.read_csv(\"/Users/normrasmussen/Downloads/customer_counts.csv\")\n",
-    "type_dict = {'Customers Admin Count': int,\n",
-    "                    'Customers Course Count':int,\n",
-    "                    'Customers Custom Code File Count':int,\n",
-    "                    'Customers Document Count':int,\n",
-    "                    'Customers Manager Count':int,\n",
-    "                    'Customers Scorm Count':int,\n",
-    "                    'Customers Video Count':int,\n",
-    "                    'Chris Bookings Arr':int\n",
-    "                    }\n",
-    "counts.fillna(0, inplace=True)\n",
-    "counts.replace(',','', regex=True, inplace=True)\n",
-    "counts = counts.astype(type_dict)\n",
-    "counts = counts.rename (columns=\n",
-    "                        {'Customers Customer ID': 'cust_id',\n",
-    "                        'Customers Organization': 'name',\n",
-    "                        'Customers Admin Count': 'admins',\n",
-    "                        'Customers Course Count': 'courses',\n",
-    "                        'Customers Custom Code File Count': 'templates',\n",
-    "                        'Customers Document Count': 'docs',\n",
-    "                        'Customers Manager Count': 'managers',\n",
-    "                        'Customers Presentation Count': 'presentations',\n",
-    "                        'Customers Scorm Count': 'scorm',\n",
-    "                        'Customers Video Count': 'videos',\n",
-    "                        'Chris Bookings Arr': 'arr'\n",
-    "                        },)\n",
-    "counts = counts.rename(name_dict)\n",
-    "counts.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>cust_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>admins</th>\n",
-       "      <th>courses</th>\n",
-       "      <th>templates</th>\n",
-       "      <th>docs</th>\n",
-       "      <th>managers</th>\n",
-       "      <th>presentations</th>\n",
-       "      <th>scorm</th>\n",
-       "      <th>videos</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30988476</td>\n",
-       "      <td>MarketScale</td>\n",
-       "      <td>1034</td>\n",
-       "      <td>3772</td>\n",
-       "      <td>2269</td>\n",
-       "      <td>937</td>\n",
-       "      <td>167</td>\n",
-       "      <td>77</td>\n",
-       "      <td>990</td>\n",
-       "      <td>1554</td>\n",
-       "      <td>68000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>30867656</td>\n",
-       "      <td>Compass RE</td>\n",
-       "      <td>367</td>\n",
-       "      <td>689</td>\n",
-       "      <td>133</td>\n",
-       "      <td>107</td>\n",
-       "      <td>7</td>\n",
-       "      <td>15</td>\n",
-       "      <td>228</td>\n",
-       "      <td>1934</td>\n",
-       "      <td>40360</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867741</td>\n",
-       "      <td>Soham Inc. (Zenoti)</td>\n",
-       "      <td>143</td>\n",
-       "      <td>487</td>\n",
-       "      <td>137</td>\n",
-       "      <td>132</td>\n",
-       "      <td>893</td>\n",
-       "      <td>17</td>\n",
-       "      <td>3325</td>\n",
-       "      <td>1299</td>\n",
-       "      <td>120000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>33785207</td>\n",
-       "      <td>Practo PTE Ltd.</td>\n",
-       "      <td>135</td>\n",
-       "      <td>269</td>\n",
-       "      <td>10</td>\n",
-       "      <td>215</td>\n",
-       "      <td>18</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>22</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30867654</td>\n",
-       "      <td>SPS Commerce</td>\n",
-       "      <td>107</td>\n",
-       "      <td>372</td>\n",
-       "      <td>67</td>\n",
-       "      <td>1159</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>181</td>\n",
-       "      <td>1222</td>\n",
-       "      <td>51000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>30867653</td>\n",
-       "      <td>Shipt</td>\n",
-       "      <td>102</td>\n",
-       "      <td>144</td>\n",
-       "      <td>77</td>\n",
-       "      <td>17</td>\n",
-       "      <td>12</td>\n",
-       "      <td>4</td>\n",
-       "      <td>194</td>\n",
-       "      <td>33</td>\n",
-       "      <td>88564</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>30867691</td>\n",
-       "      <td>MaRS Discovery District</td>\n",
-       "      <td>100</td>\n",
-       "      <td>165</td>\n",
-       "      <td>2</td>\n",
-       "      <td>252</td>\n",
-       "      <td>30</td>\n",
-       "      <td>95</td>\n",
-       "      <td>2</td>\n",
-       "      <td>556</td>\n",
-       "      <td>13200</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>30867591</td>\n",
-       "      <td>EF Educational Foundation for Foreign Study</td>\n",
-       "      <td>96</td>\n",
-       "      <td>175</td>\n",
-       "      <td>7</td>\n",
-       "      <td>365</td>\n",
-       "      <td>37</td>\n",
-       "      <td>28</td>\n",
-       "      <td>5</td>\n",
-       "      <td>474</td>\n",
-       "      <td>6000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>37790045</td>\n",
-       "      <td>At World Properties LLC</td>\n",
-       "      <td>84</td>\n",
-       "      <td>188</td>\n",
-       "      <td>101</td>\n",
-       "      <td>329</td>\n",
-       "      <td>62</td>\n",
-       "      <td>3</td>\n",
-       "      <td>200</td>\n",
-       "      <td>985</td>\n",
-       "      <td>87500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>30867718</td>\n",
-       "      <td>BrandActive International Inc.</td>\n",
-       "      <td>80</td>\n",
-       "      <td>64</td>\n",
-       "      <td>14</td>\n",
-       "      <td>70</td>\n",
-       "      <td>4</td>\n",
-       "      <td>47</td>\n",
-       "      <td>85</td>\n",
-       "      <td>173</td>\n",
-       "      <td>6720</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    cust_id                                         name  admins  courses   \n",
-       "0  30988476                                  MarketScale    1034     3772  \\\n",
-       "1  30867656                                   Compass RE     367      689   \n",
-       "2  30867741                          Soham Inc. (Zenoti)     143      487   \n",
-       "3  33785207                              Practo PTE Ltd.     135      269   \n",
-       "4  30867654                                 SPS Commerce     107      372   \n",
-       "5  30867653                                        Shipt     102      144   \n",
-       "6  30867691                      MaRS Discovery District     100      165   \n",
-       "7  30867591  EF Educational Foundation for Foreign Study      96      175   \n",
-       "8  37790045                      At World Properties LLC      84      188   \n",
-       "9  30867718               BrandActive International Inc.      80       64   \n",
-       "\n",
-       "   templates  docs  managers  presentations  scorm  videos     arr  \n",
-       "0       2269   937       167             77    990    1554   68000  \n",
-       "1        133   107         7             15    228    1934   40360  \n",
-       "2        137   132       893             17   3325    1299  120000  \n",
-       "3         10   215        18             11      0      22       0  \n",
-       "4         67  1159         5              2    181    1222   51000  \n",
-       "5         77    17        12              4    194      33   88564  \n",
-       "6          2   252        30             95      2     556   13200  \n",
-       "7          7   365        37             28      5     474    6000  \n",
-       "8        101   329        62              3    200     985   87500  \n",
-       "9         14    70         4             47     85     173    6720  "
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "counts.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='admins', ylabel='courses'>"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Change the where range to none (comment out the line)\n",
-    "# Then change it to 100 admins & 525 courses (remove large outliers)\n",
-    "# Then finally leave it as the below numbers to see a smaller subset. \n",
-    "removed_outliers = counts.where((counts.admins <40) & (counts.courses <100), 0) \n",
-    "removed_outliers.plot(kind='scatter', x='admins', y='courses')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='admins', ylabel='managers'>"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "removed_outliers = counts.where((counts.admins <50) & (counts.managers <50), 0) \n",
-    "removed_outliers.plot(kind='scatter', x='admins', y='managers')\n",
-    "#counts.plot(kind='scatter', x='admins', y='managers')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='admins', ylabel='arr'>"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "zoomed = counts.where((counts.admins < 175) & (counts.arr <150000))\n",
-    "zoomed.plot(kind='scatter', x='admins', y='arr')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 1000x1000 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 480x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Correlation Matrix.\n",
-    "counts['name']=counts['name'].astype('category').cat.codes\n",
-    "corrs = counts.corr()\n",
-    "fig = plt.figure(figsize=(10,10))\n",
-    "plt.matshow(corrs, cmap='GnBu')\n",
-    "plt.xticks(range(len(corrs.columns)), corrs.columns, rotation='vertical')\n",
-    "plt.yticks(range(len(corrs.columns)), corrs.columns)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>cust_id</th>\n",
-       "      <th>name</th>\n",
-       "      <th>admins</th>\n",
-       "      <th>courses</th>\n",
-       "      <th>templates</th>\n",
-       "      <th>docs</th>\n",
-       "      <th>managers</th>\n",
-       "      <th>presentations</th>\n",
-       "      <th>scorm</th>\n",
-       "      <th>videos</th>\n",
-       "      <th>arr</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>cust_id</th>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.037373</td>\n",
-       "      <td>-0.155565</td>\n",
-       "      <td>-0.098770</td>\n",
-       "      <td>-0.020938</td>\n",
-       "      <td>-0.248475</td>\n",
-       "      <td>-0.010410</td>\n",
-       "      <td>-0.166005</td>\n",
-       "      <td>-0.077380</td>\n",
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-       "      <td>0.153123</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>name</th>\n",
-       "      <td>-0.037373</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.009680</td>\n",
-       "      <td>-0.020280</td>\n",
-       "      <td>0.011775</td>\n",
-       "      <td>0.096073</td>\n",
-       "      <td>0.044201</td>\n",
-       "      <td>0.024524</td>\n",
-       "      <td>-0.010181</td>\n",
-       "      <td>0.029232</td>\n",
-       "      <td>0.046236</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>admins</th>\n",
-       "      <td>-0.155565</td>\n",
-       "      <td>-0.009680</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.829998</td>\n",
-       "      <td>0.909168</td>\n",
-       "      <td>0.344757</td>\n",
-       "      <td>0.064145</td>\n",
-       "      <td>0.112778</td>\n",
-       "      <td>0.265628</td>\n",
-       "      <td>0.430365</td>\n",
-       "      <td>0.133515</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>courses</th>\n",
-       "      <td>-0.098770</td>\n",
-       "      <td>-0.020280</td>\n",
-       "      <td>0.829998</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.822771</td>\n",
-       "      <td>0.340109</td>\n",
-       "      <td>0.033327</td>\n",
-       "      <td>0.148126</td>\n",
-       "      <td>0.537166</td>\n",
-       "      <td>0.365190</td>\n",
-       "      <td>0.086769</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>templates</th>\n",
-       "      <td>-0.020938</td>\n",
-       "      <td>0.011775</td>\n",
-       "      <td>0.909168</td>\n",
-       "      <td>0.822771</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.287408</td>\n",
-       "      <td>0.027254</td>\n",
-       "      <td>0.076901</td>\n",
-       "      <td>0.239657</td>\n",
-       "      <td>0.293813</td>\n",
-       "      <td>0.130969</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>docs</th>\n",
-       "      <td>-0.248475</td>\n",
-       "      <td>0.096073</td>\n",
-       "      <td>0.344757</td>\n",
-       "      <td>0.340109</td>\n",
-       "      <td>0.287408</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.018266</td>\n",
-       "      <td>0.383843</td>\n",
-       "      <td>0.101804</td>\n",
-       "      <td>0.520765</td>\n",
-       "      <td>0.052116</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>managers</th>\n",
-       "      <td>-0.010410</td>\n",
-       "      <td>0.044201</td>\n",
-       "      <td>0.064145</td>\n",
-       "      <td>0.033327</td>\n",
-       "      <td>0.027254</td>\n",
-       "      <td>0.018266</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.007146</td>\n",
-       "      <td>0.089549</td>\n",
-       "      <td>0.052916</td>\n",
-       "      <td>0.035854</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>presentations</th>\n",
-       "      <td>-0.166005</td>\n",
-       "      <td>0.024524</td>\n",
-       "      <td>0.112778</td>\n",
-       "      <td>0.148126</td>\n",
-       "      <td>0.076901</td>\n",
-       "      <td>0.383843</td>\n",
-       "      <td>0.007146</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.036110</td>\n",
-       "      <td>0.212874</td>\n",
-       "      <td>-0.011688</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>scorm</th>\n",
-       "      <td>-0.077380</td>\n",
-       "      <td>-0.010181</td>\n",
-       "      <td>0.265628</td>\n",
-       "      <td>0.537166</td>\n",
-       "      <td>0.239657</td>\n",
-       "      <td>0.101804</td>\n",
-       "      <td>0.089549</td>\n",
-       "      <td>0.036110</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.169186</td>\n",
-       "      <td>0.084721</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>videos</th>\n",
-       "      <td>-0.214906</td>\n",
-       "      <td>0.029232</td>\n",
-       "      <td>0.430365</td>\n",
-       "      <td>0.365190</td>\n",
-       "      <td>0.293813</td>\n",
-       "      <td>0.520765</td>\n",
-       "      <td>0.052916</td>\n",
-       "      <td>0.212874</td>\n",
-       "      <td>0.169186</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.071154</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>arr</th>\n",
-       "      <td>0.153123</td>\n",
-       "      <td>0.046236</td>\n",
-       "      <td>0.133515</td>\n",
-       "      <td>0.086769</td>\n",
-       "      <td>0.130969</td>\n",
-       "      <td>0.052116</td>\n",
-       "      <td>0.035854</td>\n",
-       "      <td>-0.011688</td>\n",
-       "      <td>0.084721</td>\n",
-       "      <td>0.071154</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                cust_id      name    admins   courses  templates      docs   \n",
-       "cust_id        1.000000 -0.037373 -0.155565 -0.098770  -0.020938 -0.248475  \\\n",
-       "name          -0.037373  1.000000 -0.009680 -0.020280   0.011775  0.096073   \n",
-       "admins        -0.155565 -0.009680  1.000000  0.829998   0.909168  0.344757   \n",
-       "courses       -0.098770 -0.020280  0.829998  1.000000   0.822771  0.340109   \n",
-       "templates     -0.020938  0.011775  0.909168  0.822771   1.000000  0.287408   \n",
-       "docs          -0.248475  0.096073  0.344757  0.340109   0.287408  1.000000   \n",
-       "managers      -0.010410  0.044201  0.064145  0.033327   0.027254  0.018266   \n",
-       "presentations -0.166005  0.024524  0.112778  0.148126   0.076901  0.383843   \n",
-       "scorm         -0.077380 -0.010181  0.265628  0.537166   0.239657  0.101804   \n",
-       "videos        -0.214906  0.029232  0.430365  0.365190   0.293813  0.520765   \n",
-       "arr            0.153123  0.046236  0.133515  0.086769   0.130969  0.052116   \n",
-       "\n",
-       "               managers  presentations     scorm    videos       arr  \n",
-       "cust_id       -0.010410      -0.166005 -0.077380 -0.214906  0.153123  \n",
-       "name           0.044201       0.024524 -0.010181  0.029232  0.046236  \n",
-       "admins         0.064145       0.112778  0.265628  0.430365  0.133515  \n",
-       "courses        0.033327       0.148126  0.537166  0.365190  0.086769  \n",
-       "templates      0.027254       0.076901  0.239657  0.293813  0.130969  \n",
-       "docs           0.018266       0.383843  0.101804  0.520765  0.052116  \n",
-       "managers       1.000000       0.007146  0.089549  0.052916  0.035854  \n",
-       "presentations  0.007146       1.000000  0.036110  0.212874 -0.011688  \n",
-       "scorm          0.089549       0.036110  1.000000  0.169186  0.084721  \n",
-       "videos         0.052916       0.212874  0.169186  1.000000  0.071154  \n",
-       "arr            0.035854      -0.011688  0.084721  0.071154  1.000000  "
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "counts.corr()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: >"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import seaborn as sn\n",
-    "\n",
-    "corr_matrix = counts.corr()\n",
-    "sn.heatmap(corr_matrix, annot=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "jupyter",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Scripts/Jupyter/page_views_cats.ipynb b/Scripts/Jupyter/page_views_cats.ipynb
deleted file mode 100644
index 4cb4c3ba..00000000
--- a/Scripts/Jupyter/page_views_cats.ipynb
+++ /dev/null
@@ -1,524 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd \n",
-    "import numpy as np \n",
-    "import seaborn as sns \n",
-    "import matplotlib.pylab as plt \n",
-    "import sketch\n",
-    "#plt.style.use('ggplot')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "School Name    object\n",
-       "School Uuid    object\n",
-       "Customer Id    object\n",
-       "Path           object\n",
-       "Apr 7 - 13      int64\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pd.set_option('display.max_rows', 100)\n",
-    "pageviews = pd.read_csv(\"/Users/normrasmussen/Documents/Work/Data/GraphQuery (4).csv\", index_col=None)\n",
-    "pageviews.dtypes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>academy</th>\n",
-       "      <th>academy_id</th>\n",
-       "      <th>org_id</th>\n",
-       "      <th>path</th>\n",
-       "      <th>apr_week</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Compass Academy</td>\n",
-       "      <td>dc62bd23-e093-49ff-9f85-b8e3d6dc9e34</td>\n",
-       "      <td>49efbc2d-004a-4130-819a-2f5cdd59413f</td>\n",
-       "      <td>/people</td>\n",
-       "      <td>356</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>CHEK Institute</td>\n",
-       "      <td>c2adf18f-9247-403f-9914-f9ce7d412d17</td>\n",
-       "      <td>4d7e5559-a90f-4c1c-9de7-88d4495ae76a</td>\n",
-       "      <td>/people</td>\n",
-       "      <td>288</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>GenTech Associates Academy</td>\n",
-       "      <td>d38a8181-f864-40cd-91da-b47b05f8bf69</td>\n",
-       "      <td>8fe4e045-0882-4a7d-a695-1477f1aa32d7</td>\n",
-       "      <td>/people</td>\n",
-       "      <td>137</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>CTAA&amp;#39;s School</td>\n",
-       "      <td>e79c2971-f7dd-4f7b-93b3-c3192c00824f</td>\n",
-       "      <td>677b83a3-20d8-4073-9cfb-6a28c6d53b92</td>\n",
-       "      <td>/people</td>\n",
-       "      <td>136</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Solo Internal Training</td>\n",
-       "      <td>72047a94-38c4-460e-90e2-2a3df5096852</td>\n",
-       "      <td>c05d6a25-cc80-447a-9b85-7b222ad9e4fd</td>\n",
-       "      <td>/media</td>\n",
-       "      <td>129</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>118</th>\n",
-       "      <td>Lighthouse by LJ Hooker Group</td>\n",
-       "      <td>cb56a39f-b6a1-4c0a-893f-9e0e93fe6c24</td>\n",
-       "      <td>7ccf4a79-c896-4865-95e4-dfe134119943</td>\n",
-       "      <td>/instructor_led_trainings</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>119</th>\n",
-       "      <td>Mark43 University</td>\n",
-       "      <td>85e2acae-6a0b-4f1c-a3e1-dd113218321d</td>\n",
-       "      <td>ea5c9708-73f9-4905-a759-7b68d0128206</td>\n",
-       "      <td>/courses</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>120</th>\n",
-       "      <td>Mizuno Academy</td>\n",
-       "      <td>f61cd40c-6cbf-41b3-a797-78b923137c23</td>\n",
-       "      <td>b99abead-4af0-487d-b8a4-d77b2c8dded4</td>\n",
-       "      <td>/communications/emails/broadcast</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>121</th>\n",
-       "      <td>Capstone Scholars Program</td>\n",
-       "      <td>66f38581-27d9-4d9d-8134-edd09c87940a</td>\n",
-       "      <td>abbe2201-8500-4067-aeaf-73fa99824784</td>\n",
-       "      <td>/people</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>122</th>\n",
-       "      <td>Garrett Virtual Academy</td>\n",
-       "      <td>4f211014-bf83-4c8d-8779-d743777ca8cf</td>\n",
-       "      <td>26370510-3f8a-4d3a-9808-3d7ba2388e97</td>\n",
-       "      <td>/people/invite</td>\n",
-       "      <td>32</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>123 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                           academy                            academy_id   \n",
-       "0                 Compass Academy   dc62bd23-e093-49ff-9f85-b8e3d6dc9e34  \\\n",
-       "1                   CHEK Institute  c2adf18f-9247-403f-9914-f9ce7d412d17   \n",
-       "2       GenTech Associates Academy  d38a8181-f864-40cd-91da-b47b05f8bf69   \n",
-       "3                CTAA&#39;s School  e79c2971-f7dd-4f7b-93b3-c3192c00824f   \n",
-       "4           Solo Internal Training  72047a94-38c4-460e-90e2-2a3df5096852   \n",
-       "..                             ...                                   ...   \n",
-       "118  Lighthouse by LJ Hooker Group  cb56a39f-b6a1-4c0a-893f-9e0e93fe6c24   \n",
-       "119              Mark43 University  85e2acae-6a0b-4f1c-a3e1-dd113218321d   \n",
-       "120                 Mizuno Academy  f61cd40c-6cbf-41b3-a797-78b923137c23   \n",
-       "121     Capstone Scholars Program   66f38581-27d9-4d9d-8134-edd09c87940a   \n",
-       "122        Garrett Virtual Academy  4f211014-bf83-4c8d-8779-d743777ca8cf   \n",
-       "\n",
-       "                                   org_id                              path   \n",
-       "0    49efbc2d-004a-4130-819a-2f5cdd59413f                           /people  \\\n",
-       "1    4d7e5559-a90f-4c1c-9de7-88d4495ae76a                           /people   \n",
-       "2    8fe4e045-0882-4a7d-a695-1477f1aa32d7                           /people   \n",
-       "3    677b83a3-20d8-4073-9cfb-6a28c6d53b92                           /people   \n",
-       "4    c05d6a25-cc80-447a-9b85-7b222ad9e4fd                            /media   \n",
-       "..                                    ...                               ...   \n",
-       "118  7ccf4a79-c896-4865-95e4-dfe134119943         /instructor_led_trainings   \n",
-       "119  ea5c9708-73f9-4905-a759-7b68d0128206                          /courses   \n",
-       "120  b99abead-4af0-487d-b8a4-d77b2c8dded4  /communications/emails/broadcast   \n",
-       "121  abbe2201-8500-4067-aeaf-73fa99824784                           /people   \n",
-       "122  26370510-3f8a-4d3a-9808-3d7ba2388e97                    /people/invite   \n",
-       "\n",
-       "     apr_week  \n",
-       "0         356  \n",
-       "1         288  \n",
-       "2         137  \n",
-       "3         136  \n",
-       "4         129  \n",
-       "..        ...  \n",
-       "118        32  \n",
-       "119        32  \n",
-       "120        32  \n",
-       "121        32  \n",
-       "122        32  \n",
-       "\n",
-       "[123 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pageviews = pageviews.rename(columns={\n",
-    "    'School Name':'academy',\n",
-    "    'School Uuid':'academy_id',\n",
-    "    'Customer Id':'org_id',\n",
-    "    'Path':'path',\n",
-    "    'Apr 7 - 13': 'apr_week',\n",
-    "})\n",
-    "pageviews.head(123)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# pageviews.apr_week = pageviews.apr_week.astype(int)\n",
-    "# pageviews.academy_id = pageviews.academy_id.astype('category').cat.codes\n",
-    "# pageviews.org_id = pageviews.org_id.astype('category').cat.codes\n",
-    "# pageviews['academy']=pageviews['academy'].astype('category').cat.codes\n",
-    "# pageviews['path']=pageviews['path'].astype('category').cat.codes\n",
-    "#  pageviews.plot(kind='scatter', x='apr_week', y='path')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>apr_week</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>academy</th>\n",
-       "      <th>path</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Vivvix University for Ad Intel</th>\n",
-       "      <th>/account_links</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/courses</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"8\" valign=\"top\">'@properties Academy</th>\n",
-       "      <th>/account_links</th>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/courses</th>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups</th>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/courses</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships</th>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships/new</th>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/instructor_led_trainings</th>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                                                    apr_week\n",
-       "academy                         path                                                        \n",
-       " Vivvix University for Ad Intel /account_links                                             1\n",
-       "                                /courses                                                   1\n",
-       "'@properties Academy            /account_links                                             8\n",
-       "                                /courses                                                  11\n",
-       "                                /groups                                                    4\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/co...         1\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit          1\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me...         8\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me...         3\n",
-       "                                /instructor_led_trainings                                 11"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#pageviews = pageviews.groupby(['academy', 'path']).agg({'apr_week':'sum'})\n",
-    "#pageviews.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>apr_week</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>academy</th>\n",
-       "      <th>path</th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Vivvix University for Ad Intel</th>\n",
-       "      <th>/account_links</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/courses</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"8\" valign=\"top\">'@properties Academy</th>\n",
-       "      <th>/account_links</th>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/courses</th>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups</th>\n",
-       "      <td>4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/courses</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships</th>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/memberships/new</th>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>/instructor_led_trainings</th>\n",
-       "      <td>11</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                                                    apr_week\n",
-       "academy                         path                                                        \n",
-       " Vivvix University for Ad Intel /account_links                                             1\n",
-       "                                /courses                                                   1\n",
-       "'@properties Academy            /account_links                                             8\n",
-       "                                /courses                                                  11\n",
-       "                                /groups                                                    4\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/co...         1\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/edit          1\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me...         8\n",
-       "                                /groups/2a09819b-a19a-4e87-91c6-8b50ee3c46f8/me...         3\n",
-       "                                /instructor_led_trainings                                 11"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pageviews.reset_index\n",
-    "pageviews.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0         True\n",
-       "1         True\n",
-       "2         True\n",
-       "3         True\n",
-       "4        False\n",
-       "         ...  \n",
-       "13861     True\n",
-       "13862     True\n",
-       "13863    False\n",
-       "13864    False\n",
-       "13865    False\n",
-       "Name: path, Length: 13866, dtype: bool"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "startswith_list = ('/courses', '/people', 'learning_paths', '/instructor_led_trainings', '/preview', '/groups', '/account_links')\n",
-    "#for root in startswith_list:\n",
-    "#    pageviews.path.str.startswith(root, na=False)\n",
-    "    #pageviews['root'] = pageviews.path.apply(lambda x: root if pageviews.path.str.startswith(root, na=False) else 'None')\n",
-    "\n",
-    "pageviews.path.str.startswith(startswith_list)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "jupyter",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.1"
-  },
-  "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Scripts/Jupyter/sketch_tests.ipynb b/Scripts/Jupyter/sketch_tests.ipynb
deleted file mode 100644
index e9ea0bb5..00000000
--- a/Scripts/Jupyter/sketch_tests.ipynb
+++ /dev/null
@@ -1,1150 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "4eee1bfd-4d2a-48c1-a560-9472aa9a6380",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import sketch\n",
-    "import pandas as pd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "a590531b-3c14-4186-b316-5df3bec67df4",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "cust_data = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "c743dbf9-df7d-4166-83aa-018c915acad9",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OrgID</th>\n",
-       "      <th>Organization</th>\n",
-       "      <th>Churn Date</th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30867753</td>\n",
-       "      <td>Aquent</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>26</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>33375202</td>\n",
-       "      <td>BioLife Solutions, Inc.</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867495</td>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      OrgID              Organization Churn Date 2022-01 2022-02 2022-03   \n",
-       "0  30867753                    Aquent    2023-04      58      38      50  \\\n",
-       "1  33375202   BioLife Solutions, Inc.    2023-04      11       7       4   \n",
-       "2  30867495  ZyXel Communications Inc    2023-04       1       1       2   \n",
-       "\n",
-       "  2022-04 2022-05 2022-06 2022-07 2022-08  2022-09  2022-10  2022-11 2022-12   \n",
-       "0      50      39      36      46      46     43.0     27.0     24.0      26  \\\n",
-       "1      11       4     NaN     NaN     NaN      NaN      NaN      NaN     NaN   \n",
-       "2       1       2       4       2       2      1.0      NaN      NaN     NaN   \n",
-       "\n",
-       "  2023-01  2023-02  2023-03  2023-04  \n",
-       "0      22      8.0     10.0      2.0  \n",
-       "1     NaN      NaN      NaN      NaN  \n",
-       "2     NaN      1.0      1.0      NaN  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "cust_data.head(3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "7a091590-9fc4-43fe-9188-53798e7e2e51",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "SKETCH_MAX_COLUMNS=40"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "0851bb62-72ff-4bbd-b403-9d9f6c1c759e",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "cust_data = pd.read_csv(\"/Users/normrasmussen/Downloads/churned_analysis.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "e0ed250b-013c-4ceb-b899-533fe8b64706",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "It appears that the values for each organization decrease in the three months prior to their churn date. This could indicate that the organizations are losing customers or revenue in the months leading up to their churn date."
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_data.sketch.ask(\"Do you notice any trends in the values for each organization 3 months prior to their churn date?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "9d4d3367-c976-43c4-8038-89e28c7d445e",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "The exact amount of decrease in each organization's numbers in the 6 months prior to when they churned will depend on the specific data for each organization. However, we can look at the summary statistics and descriptive data of the dataframe to get an idea of the general trend. For example, we can see that the average number of customers for each month decreased from 2022-01 to 2022-06, with the average number of customers decreasing from 58 in 2022-01 to 36 in 2022-06. Similarly, we can see that the average number of customers decreased from 2022-02 to 2022-07, with the average number of customers decreasing from 38 in 2022-02 to 46 in 2022-07. This suggests that, in general, organizations' numbers were decreasing in the 6 months prior to when they churned."
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_data.sketch.ask(\"By how much are each organizations numbers decreasing in the 6 months prior to when they churn?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "36cf90c3-6430-410f-9c53-d87865f399fb",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "The average month over month decrease in customers in the 6 months prior to when they churn is approximately 8.5 customers. This is calculated by taking the difference between the customer count in the month before the churn date and the customer count 6 months prior to the churn date, and dividing it by 6. \n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_data.sketch.ask(\"What is the average month over month decrease in customers in the 6 months prior to when they churn - the churn date is the 3rd column?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "295cdb1c-85b3-4d4c-8267-43ccb408f377",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "The average month over month percentage change for each customer within their last 6 months prior to churning is calculated by taking the difference between the current month and the previous month, dividing it by the previous month, and then averaging the results. For example, for customer 1, the average month over month percentage change would be (58-11)/11 + (11-1)/1 + (1-10362)/10362 + (10362-nan)/nan + (nan-nan)/nan + (nan-nan)/nan = -0.945.\n",
-       "\n",
-       "For customer 2, the average month over month percentage change would be (38-7)/7 + (7-1)/1 + (1-7890)/7890 + (7890-nan)/nan + (nan-nan)/nan + (nan-nan)/nan = -0.919.\n",
-       "\n",
-       "This calculation can be repeated for all customers in the dataframe.\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "cust_data.sketch.ask(\"What is the average month over month percentage change for each customer within their last 6 months prior to churning? Assume NaN is 0\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "13aa08bb-30df-47dd-8479-0d4166605ec9",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "cust_data = cust_data.drop(columns=cust_data.columns[0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "40cff0d1-f2ac-4ee1-93c5-3a22d0ba4acf",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "      <th>Churn Date</th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>22</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>26</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>10,362</td>\n",
-       "      <td>7,890</td>\n",
-       "      <td>7,272</td>\n",
-       "      <td>8,177</td>\n",
-       "      <td>8,468</td>\n",
-       "      <td>7,524</td>\n",
-       "      <td>8,509</td>\n",
-       "      <td>5,638</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  2023-01  2023-02  2023-03  2023-04 Churn Date 2022-01 2022-02 2022-03   \n",
-       "0      22      8.0     10.0      2.0    2023-04      58      38      50  \\\n",
-       "1     NaN      NaN      NaN      NaN    2023-04      11       7       4   \n",
-       "2     NaN      1.0      1.0      NaN    2023-04       1       1       2   \n",
-       "3     NaN      NaN      NaN      NaN    2023-03  10,362   7,890   7,272   \n",
-       "4     NaN      NaN      NaN      NaN    2023-03     NaN     NaN     NaN   \n",
-       "\n",
-       "  2022-04 2022-05 2022-06 2022-07 2022-08  2022-09  2022-10  2022-11 2022-12  \n",
-       "0      50      39      36      46      46     43.0     27.0     24.0      26  \n",
-       "1      11       4     NaN     NaN     NaN      NaN      NaN      NaN     NaN  \n",
-       "2       1       2       4       2       2      1.0      NaN      NaN     NaN  \n",
-       "3   8,177   8,468   7,524   8,509   5,638    581.0      NaN      NaN     NaN  \n",
-       "4     NaN     NaN       1     NaN     NaN      NaN      NaN      NaN     NaN  "
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "c7ecb73b-9433-4f61-9b27-8632924270de",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# Get the list of columns\n",
-    "cols = list(cust_data.columns)\n",
-    "\n",
-    "# Get the index of the Churn Date column\n",
-    "churn_date_index = cols.index('Churn Date')\n",
-    "\n",
-    "# Get the value of the Churn Date column for each row\n",
-    "churn_dates = cust_data['Churn Date'].tolist()\n",
-    "\n",
-    "# Iterate through each row in the dataframe\n",
-    "for i, row in cust_data.iterrows():\n",
-    "    # Get the value of the Churn Date column for this row\n",
-    "    churn_date = churn_dates[i]\n",
-    "\n",
-    "    # Get the index of the column with the same month/year as the Churn Date column\n",
-    "    col_index = cols.index(churn_date)\n",
-    "\n",
-    "    # Reorganize the columns so that the last column is the one with the same month/year as the Churn Date column\n",
-    "    cust_data = cust_data[cols[:churn_date_index] + cols[col_index:] + cols[churn_date_index:col_index]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "beea0811-ff16-4519-969a-2dc41bb61d11",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>OrgID</th>\n",
-       "      <th>Organization</th>\n",
-       "      <th>2023-01</th>\n",
-       "      <th>2023-02</th>\n",
-       "      <th>2023-03</th>\n",
-       "      <th>2023-04</th>\n",
-       "      <th>Churn Date</th>\n",
-       "      <th>2022-01</th>\n",
-       "      <th>2022-02</th>\n",
-       "      <th>2022-03</th>\n",
-       "      <th>2022-04</th>\n",
-       "      <th>2022-05</th>\n",
-       "      <th>2022-06</th>\n",
-       "      <th>2022-07</th>\n",
-       "      <th>2022-08</th>\n",
-       "      <th>2022-09</th>\n",
-       "      <th>2022-10</th>\n",
-       "      <th>2022-11</th>\n",
-       "      <th>2022-12</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>30867753</td>\n",
-       "      <td>Aquent</td>\n",
-       "      <td>22</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>58</td>\n",
-       "      <td>38</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>39</td>\n",
-       "      <td>36</td>\n",
-       "      <td>46</td>\n",
-       "      <td>46</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>26</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>33375202</td>\n",
-       "      <td>BioLife Solutions, Inc.</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>11</td>\n",
-       "      <td>7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>11</td>\n",
-       "      <td>4</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>30867495</td>\n",
-       "      <td>ZyXel Communications Inc</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-04</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>32999202</td>\n",
-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2023-03</td>\n",
-       "      <td>10,362</td>\n",
-       "      <td>7,890</td>\n",
-       "      <td>7,272</td>\n",
-       "      <td>8,177</td>\n",
-       "      <td>8,468</td>\n",
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-       "      <td>581.0</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>30867752</td>\n",
-       "      <td>Casio America Inc</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
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-       "      OrgID                     Organization 2023-01  2023-02  2023-03   \n",
-       "0  30867753                           Aquent      22      8.0     10.0  \\\n",
-       "1  33375202          BioLife Solutions, Inc.     NaN      NaN      NaN   \n",
-       "2  30867495         ZyXel Communications Inc     NaN      1.0      1.0   \n",
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-       "\n",
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-    "cust_data.head(5)"
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-   "id": "948c98be-a60f-4251-9056-e6c829eae916",
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-       "                <pre style=\"width: 100%; white-space: pre-wrap;\" id=\"6a9abd26-f473-45fa-8a6f-2451508cb1cb\">\n",
-       "# Drop the first column\n",
-       "cust_data = cust_data.drop(columns=cust_data.columns[0])\n",
-       "</pre>\n",
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-   "id": "38ed4e41-9b03-4077-923c-9dbc8ff26ba8",
-   "metadata": {
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-   "outputs": [],
-   "source": [
-    "# Drop the first column\n",
-    "cust_data = cust_data.drop(columns=cust_data.columns[0])"
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-       "      <td>BrightLine Eating Solutions LLC</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>2023-03</td>\n",
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-       "      <td>NaN</td>\n",
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-       "                      Organization 2023-01  2023-02  2023-03  2023-04   \n",
-       "0                           Aquent      22      8.0     10.0      2.0  \\\n",
-       "1          BioLife Solutions, Inc.     NaN      NaN      NaN      NaN   \n",
-       "2         ZyXel Communications Inc     NaN      1.0      1.0      NaN   \n",
-       "3  BrightLine Eating Solutions LLC     NaN      NaN      NaN      NaN   \n",
-       "4                Casio America Inc     NaN      NaN      NaN      NaN   \n",
-       "\n",
-       "  Churn Date 2022-01 2022-02 2022-03 2022-04 2022-05 2022-06 2022-07 2022-08   \n",
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-   "id": "a035f1e7-e9d9-48dd-b846-15b89646e0f9",
-   "metadata": {
-    "tags": []
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-   "outputs": [],
-   "source": [
-    "cust_data = cust_data.drop(columns=cust_data.columns[0])"
-   ]
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-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "f7a2b286-c6d4-4060-a427-4a210eacc42d",
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-       "   2023-02  2023-03  2023-04 Churn Date 2022-01 2022-02 2022-03 2022-04   \n",
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