410 lines
12 KiB
Plaintext
410 lines
12 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 59,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd \n",
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"import numpy as np \n",
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"import seaborn as sns \n",
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"import matplotlib.pylab as plt \n",
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"import sketch\n",
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"plt.style.use('ggplot')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 60,
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"metadata": {},
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"outputs": [],
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"source": [
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"pages = pd.read_csv(\"/Users/normrasmussen/Downloads/app_usage.csv\", index_col=0, header=0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 61,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Path</th>\n",
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" <th>Mar 13 - Apr 11</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>School Name</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/courses</td>\n",
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" <td>25</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/previews</td>\n",
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" <td>16</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/account_links</td>\n",
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" <td>11</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/analytics</td>\n",
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" <td>8</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/settings/general/edit</td>\n",
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" <td>7</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/apps/integrations</td>\n",
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" <td>4</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/accounts/general/edit</td>\n",
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" <td>4</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/people</td>\n",
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" <td>3</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/settings/authentication</td>\n",
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" <td>3</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>/styling/general/edit</td>\n",
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" <td>2</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Path Mar 13 - Apr 11\n",
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"School Name \n",
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" Vivvix University for Ad Intel /courses 25\n",
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" Vivvix University for Ad Intel /previews 16\n",
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" Vivvix University for Ad Intel /account_links 11\n",
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" Vivvix University for Ad Intel /analytics 8\n",
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" Vivvix University for Ad Intel /settings/general/edit 7\n",
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" Vivvix University for Ad Intel /apps/integrations 4\n",
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" Vivvix University for Ad Intel /accounts/general/edit 4\n",
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" Vivvix University for Ad Intel /people 3\n",
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" Vivvix University for Ad Intel /settings/authentication 3\n",
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" Vivvix University for Ad Intel /styling/general/edit 2"
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]
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},
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"execution_count": 61,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pages.head(10)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 62,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Total Views</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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"Empty DataFrame\n",
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"Columns: [Total Views]\n",
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"Index: []"
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]
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},
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"execution_count": 62,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pages_sum = pd.DataFrame(columns=['Total Views'])\n",
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"pages_sum.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 63,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Total Views</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>School Name</th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>Vivvix University for Ad Intel</th>\n",
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" <td>110</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>'@properties Academy</th>\n",
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" <td>322</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4 Pillars Academy</th>\n",
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" <td>112</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>AIIM+</th>\n",
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" <td>528</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ASAPP University</th>\n",
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" <td>153</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Total Views\n",
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"School Name \n",
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" Vivvix University for Ad Intel 110\n",
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"'@properties Academy 322\n",
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"4 Pillars Academy 112\n",
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"AIIM+ 528\n",
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"ASAPP University 153"
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]
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},
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"execution_count": 63,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pages_sum['Total Views'] = pages.groupby(by='School Name')['Mar 13 - Apr 11'].sum()\n",
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"pages_sum.head(5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 66,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Total Views</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>School Name</th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>Vivvix for Ad Intel</th>\n",
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" <td>110</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>'@properties</th>\n",
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" <td>322</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4 Pillars</th>\n",
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" <td>112</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>AIIM+</th>\n",
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" <td>528</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ASAPP</th>\n",
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" <td>153</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>| AgencyBloc</th>\n",
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" <td>3373</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Académie Évolupharma</th>\n",
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" <td>253</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Access</th>\n",
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" <td>11</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ActiveLearner</th>\n",
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" <td>1907</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Ad Intel</th>\n",
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" <td>2</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Total Views\n",
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"School Name \n",
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" Vivvix for Ad Intel 110\n",
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"'@properties 322\n",
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"4 Pillars 112\n",
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"AIIM+ 528\n",
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"ASAPP 153\n",
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" | AgencyBloc 3373\n",
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"Académie Évolupharma 253\n",
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"Access 11\n",
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"ActiveLearner 1907\n",
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"Ad Intel 2"
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]
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},
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"execution_count": 66,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"to_remove = ['Academy', 'academy', 'University', 'university', 'school', 'School', 'Sandbox', 'Knowledge Base']\n",
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"for item in pages_sum.itertuples(index=True):\n",
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" for word in to_remove:\n",
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" if word in item[0]:\n",
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" less = item[0].replace(word, '')\n",
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" pages_sum.rename(index={item[0]:less}, inplace=True)\n",
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"\n",
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"pages_sum.head(10)\n",
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" # if any(element in item[0] for element in to_remove):\n",
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" # print(item[0])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "jupyter",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.1"
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"nbformat_minor": 2
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}
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