segmenting and clustering neighborhoods.ipynb

{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {
                "collapsed": true
            },
            "source": "# NEIGHBORHOOD SEGMENTATION AND CLUSTERING"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "IMPORTING DATA SETS AND LIBRARIES"
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": "import pandas as pd"
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": "import requests"
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "<Response [200]>"
                    },
                    "execution_count": 3,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "url = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\"\nwiki_url = requests.get(url)\nwiki_url"
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "[    Postal Code           Borough  \\\n 0           M1A      Not assigned   \n 1           M2A      Not assigned   \n 2           M3A        North York   \n 3           M4A        North York   \n 4           M5A  Downtown Toronto   \n ..          ...               ...   \n 175         M5Z      Not assigned   \n 176         M6Z      Not assigned   \n 177         M7Z      Not assigned   \n 178         M8Z         Etobicoke   \n 179         M9Z      Not assigned   \n \n                                          Neighbourhood  \n 0                                         Not assigned  \n 1                                         Not assigned  \n 2                                            Parkwoods  \n 3                                     Victoria Village  \n 4                            Regent Park, Harbourfront  \n ..                                                 ...  \n 175                                       Not assigned  \n 176                                       Not assigned  \n 177                                       Not assigned  \n 178  Mimico NW, The Queensway West, South of Bloor,...  \n 179                                       Not assigned  \n \n [180 rows x 3 columns],\n                                                   0   \\\n 0                                                NaN   \n 1  NL NS PE NB QC ON MB SK AB BC NU/NT YT A B C E...   \n 2                                                 NL   \n 3                                                  A   \n \n                                                   1   \\\n 0                              Canadian postal codes   \n 1  NL NS PE NB QC ON MB SK AB BC NU/NT YT A B C E...   \n 2                                                 NS   \n 3                                                  B   \n \n                                                   2    3    4    5    6    7   \\\n 0                                                NaN  NaN  NaN  NaN  NaN  NaN   \n 1  NL NS PE NB QC ON MB SK AB BC NU/NT YT A B C E...  NaN  NaN  NaN  NaN  NaN   \n 2                                                 PE   NB   QC   QC   QC   ON   \n 3                                                  C    E    G    H    J    K   \n \n     8    9    10   11   12   13   14   15     16   17  \n 0  NaN  NaN  NaN  NaN  NaN  NaN  NaN  NaN    NaN  NaN  \n 1  NaN  NaN  NaN  NaN  NaN  NaN  NaN  NaN    NaN  NaN  \n 2   ON   ON   ON   ON   MB   SK   AB   BC  NU/NT   YT  \n 3    L    M    N    P    R    S    T    V      X    Y  ,\n    0   1   2   3   4   5   6   7   8   9   10  11  12  13  14  15     16  17\n 0  NL  NS  PE  NB  QC  QC  QC  ON  ON  ON  ON  ON  MB  SK  AB  BC  NU/NT  YT\n 1   A   B   C   E   G   H   J   K   L   M   N   P   R   S   T   V      X   Y]"
                    },
                    "execution_count": 4,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "wiki_data = pd.read_html(wiki_url.text)\nwiki_data"
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "(3, list)"
                    },
                    "execution_count": 5,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "len(wiki_data), type(wiki_data)"
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1A</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M2A</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>175</th>\n      <td>M5Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>176</th>\n      <td>M6Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>177</th>\n      <td>M7Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>178</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n    </tr>\n    <tr>\n      <th>179</th>\n      <td>M9Z</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n  </tbody>\n</table>\n<p>180 rows \u00d7 3 columns</p>\n</div>",
                        "text/plain": "    Postal Code           Borough  \\\n0           M1A      Not assigned   \n1           M2A      Not assigned   \n2           M3A        North York   \n3           M4A        North York   \n4           M5A  Downtown Toronto   \n..          ...               ...   \n175         M5Z      Not assigned   \n176         M6Z      Not assigned   \n177         M7Z      Not assigned   \n178         M8Z         Etobicoke   \n179         M9Z      Not assigned   \n\n                                         Neighbourhood  \n0                                         Not assigned  \n1                                         Not assigned  \n2                                            Parkwoods  \n3                                     Victoria Village  \n4                            Regent Park, Harbourfront  \n..                                                 ...  \n175                                       Not assigned  \n176                                       Not assigned  \n177                                       Not assigned  \n178  Mimico NW, The Queensway West, South of Bloor,...  \n179                                       Not assigned  \n\n[180 rows x 3 columns]"
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "wiki_data = wiki_data[0]\nwiki_data"
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>160</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n    </tr>\n    <tr>\n      <th>165</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n    </tr>\n    <tr>\n      <th>168</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business reply mail Processing Centre, South C...</td>\n    </tr>\n    <tr>\n      <th>169</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n    </tr>\n    <tr>\n      <th>178</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 3 columns</p>\n</div>",
                        "text/plain": "    Postal Code           Borough  \\\n2           M3A        North York   \n3           M4A        North York   \n4           M5A  Downtown Toronto   \n5           M6A        North York   \n6           M7A  Downtown Toronto   \n..          ...               ...   \n160         M8X         Etobicoke   \n165         M4Y  Downtown Toronto   \n168         M7Y      East Toronto   \n169         M8Y         Etobicoke   \n178         M8Z         Etobicoke   \n\n                                         Neighbourhood  \n2                                            Parkwoods  \n3                                     Victoria Village  \n4                            Regent Park, Harbourfront  \n5                     Lawrence Manor, Lawrence Heights  \n6          Queen's Park, Ontario Provincial Government  \n..                                                 ...  \n160      The Kingsway, Montgomery Road, Old Mill North  \n165                               Church and Wellesley  \n168  Business reply mail Processing Centre, South C...  \n169  Old Mill South, King's Mill Park, Sunnylea, Hu...  \n178  Mimico NW, The Queensway West, South of Bloor,...  \n\n[103 rows x 3 columns]"
                    },
                    "execution_count": 7,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df = wiki_data[wiki_data[\"Borough\"] != \"Not assigned\"]\ndf"
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>160</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n    </tr>\n    <tr>\n      <th>165</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n    </tr>\n    <tr>\n      <th>168</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business reply mail Processing Centre, South C...</td>\n    </tr>\n    <tr>\n      <th>169</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n    </tr>\n    <tr>\n      <th>178</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 3 columns</p>\n</div>",
                        "text/plain": "    Postal Code           Borough  \\\n2           M3A        North York   \n3           M4A        North York   \n4           M5A  Downtown Toronto   \n5           M6A        North York   \n6           M7A  Downtown Toronto   \n..          ...               ...   \n160         M8X         Etobicoke   \n165         M4Y  Downtown Toronto   \n168         M7Y      East Toronto   \n169         M8Y         Etobicoke   \n178         M8Z         Etobicoke   \n\n                                         Neighbourhood  \n2                                            Parkwoods  \n3                                     Victoria Village  \n4                            Regent Park, Harbourfront  \n5                     Lawrence Manor, Lawrence Heights  \n6          Queen's Park, Ontario Provincial Government  \n..                                                 ...  \n160      The Kingsway, Montgomery Road, Old Mill North  \n165                               Church and Wellesley  \n168  Business reply mail Processing Centre, South C...  \n169  Old Mill South, King's Mill Park, Sunnylea, Hu...  \n178  Mimico NW, The Queensway West, South of Bloor,...  \n\n[103 rows x 3 columns]"
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df = df.groupby(['Postal Code']).head()\ndf"
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "0"
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.Neighbourhood.str.count(\"Not assigned\").sum()"
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "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>index</th>\n      <th>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2</td>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>3</td>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>4</td>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>5</td>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6</td>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>160</td>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>165</td>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>168</td>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business reply mail Processing Centre, South C...</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>169</td>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>178</td>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 4 columns</p>\n</div>",
                        "text/plain": "     index Postal Code           Borough  \\\n0        2         M3A        North York   \n1        3         M4A        North York   \n2        4         M5A  Downtown Toronto   \n3        5         M6A        North York   \n4        6         M7A  Downtown Toronto   \n..     ...         ...               ...   \n98     160         M8X         Etobicoke   \n99     165         M4Y  Downtown Toronto   \n100    168         M7Y      East Toronto   \n101    169         M8Y         Etobicoke   \n102    178         M8Z         Etobicoke   \n\n                                         Neighbourhood  \n0                                            Parkwoods  \n1                                     Victoria Village  \n2                            Regent Park, Harbourfront  \n3                     Lawrence Manor, Lawrence Heights  \n4          Queen's Park, Ontario Provincial Government  \n..                                                 ...  \n98       The Kingsway, Montgomery Road, Old Mill North  \n99                                Church and Wellesley  \n100  Business reply mail Processing Centre, South C...  \n101  Old Mill South, King's Mill Park, Sunnylea, Hu...  \n102  Mimico NW, The Queensway West, South of Bloor,...  \n\n[103 rows x 4 columns]"
                    },
                    "execution_count": 10,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df = df.reset_index()\ndf"
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business reply mail Processing Centre, South C...</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 3 columns</p>\n</div>",
                        "text/plain": "    Postal Code           Borough  \\\n0           M3A        North York   \n1           M4A        North York   \n2           M5A  Downtown Toronto   \n3           M6A        North York   \n4           M7A  Downtown Toronto   \n..          ...               ...   \n98          M8X         Etobicoke   \n99          M4Y  Downtown Toronto   \n100         M7Y      East Toronto   \n101         M8Y         Etobicoke   \n102         M8Z         Etobicoke   \n\n                                         Neighbourhood  \n0                                            Parkwoods  \n1                                     Victoria Village  \n2                            Regent Park, Harbourfront  \n3                     Lawrence Manor, Lawrence Heights  \n4          Queen's Park, Ontario Provincial Government  \n..                                                 ...  \n98       The Kingsway, Montgomery Road, Old Mill North  \n99                                Church and Wellesley  \n100  Business reply mail Processing Centre, South C...  \n101  Old Mill South, King's Mill Park, Sunnylea, Hu...  \n102  Mimico NW, The Queensway West, South of Bloor,...  \n\n[103 rows x 3 columns]"
                    },
                    "execution_count": 11,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.drop(['index'], axis = 'columns', inplace = True)\ndf"
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "(103, 3)"
                    },
                    "execution_count": 12,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.shape"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "INSTALLING GEOCODER"
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Requirement already satisfied: geocoder in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (1.38.1)\nRequirement already satisfied: ratelim in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from geocoder) (0.1.6)\nRequirement already satisfied: requests in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from geocoder) (2.24.0)\nRequirement already satisfied: six in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from geocoder) (1.15.0)\nRequirement already satisfied: future in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from geocoder) (0.18.2)\nRequirement already satisfied: click in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from geocoder) (7.1.2)\nRequirement already satisfied: decorator in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from ratelim->geocoder) (4.4.2)\nRequirement already satisfied: idna<3,>=2.5 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->geocoder) (2.9)\nRequirement already satisfied: chardet<4,>=3.0.2 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->geocoder) (3.0.4)\nRequirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->geocoder) (1.25.9)\nRequirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->geocoder) (2020.6.20)\nNote: you may need to restart the kernel to use updated packages.\n"
                }
            ],
            "source": "pip install geocoder"
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [],
            "source": "import geocoder"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "IMPORTING GEOSPATION CSV FILE"
        },
        {
            "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>Postal Code</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>43.784535</td>\n      <td>-79.160497</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>43.763573</td>\n      <td>-79.188711</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>43.770992</td>\n      <td>-79.216917</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>43.773136</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>M9N</td>\n      <td>43.706876</td>\n      <td>-79.518188</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>M9P</td>\n      <td>43.696319</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>M9R</td>\n      <td>43.688905</td>\n      <td>-79.554724</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>M9V</td>\n      <td>43.739416</td>\n      <td>-79.588437</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>M9W</td>\n      <td>43.706748</td>\n      <td>-79.594054</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 3 columns</p>\n</div>",
                        "text/plain": "    Postal Code   Latitude  Longitude\n0           M1B  43.806686 -79.194353\n1           M1C  43.784535 -79.160497\n2           M1E  43.763573 -79.188711\n3           M1G  43.770992 -79.216917\n4           M1H  43.773136 -79.239476\n..          ...        ...        ...\n98          M9N  43.706876 -79.518188\n99          M9P  43.696319 -79.532242\n100         M9R  43.688905 -79.554724\n101         M9V  43.739416 -79.588437\n102         M9W  43.706748 -79.594054\n\n[103 rows x 3 columns]"
                    },
                    "execution_count": 15,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "data = pd.read_csv(\"https://cocl.us/Geospatial_data\")\ndata"
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "Postal Code      object\nBorough          object\nNeighbourhood    object\ndtype: object"
                    },
                    "execution_count": 16,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "df.dtypes"
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "Postal Code     object\nLatitude       float64\nLongitude      float64\ndtype: object"
                    },
                    "execution_count": 17,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "data.dtypes"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "JOINING THE DATA"
        },
        {
            "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.654260</td>\n      <td>-79.360636</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n      <td>43.718518</td>\n      <td>-79.464763</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n      <td>43.662301</td>\n      <td>-79.389494</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>98</th>\n      <td>M8X</td>\n      <td>Etobicoke</td>\n      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n      <td>43.653654</td>\n      <td>-79.506944</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n      <td>43.665860</td>\n      <td>-79.383160</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business reply mail Processing Centre, South C...</td>\n      <td>43.662744</td>\n      <td>-79.321558</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>M8Y</td>\n      <td>Etobicoke</td>\n      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n      <td>43.636258</td>\n      <td>-79.498509</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>M8Z</td>\n      <td>Etobicoke</td>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n    </tr>\n  </tbody>\n</table>\n<p>103 rows \u00d7 5 columns</p>\n</div>",
                        "text/plain": "    Postal Code           Borough  \\\n0           M3A        North York   \n1           M4A        North York   \n2           M5A  Downtown Toronto   \n3           M6A        North York   \n4           M7A  Downtown Toronto   \n..          ...               ...   \n98          M8X         Etobicoke   \n99          M4Y  Downtown Toronto   \n100         M7Y      East Toronto   \n101         M8Y         Etobicoke   \n102         M8Z         Etobicoke   \n\n                                         Neighbourhood   Latitude  Longitude  \n0                                            Parkwoods  43.753259 -79.329656  \n1                                     Victoria Village  43.725882 -79.315572  \n2                            Regent Park, Harbourfront  43.654260 -79.360636  \n3                     Lawrence Manor, Lawrence Heights  43.718518 -79.464763  \n4          Queen's Park, Ontario Provincial Government  43.662301 -79.389494  \n..                                                 ...        ...        ...  \n98       The Kingsway, Montgomery Road, Old Mill North  43.653654 -79.506944  \n99                                Church and Wellesley  43.665860 -79.383160  \n100  Business reply mail Processing Centre, South C...  43.662744 -79.321558  \n101  Old Mill South, King's Mill Park, Sunnylea, Hu...  43.636258 -79.498509  \n102  Mimico NW, The Queensway West, South of Bloor,...  43.628841 -79.520999  \n\n[103 rows x 5 columns]"
                    },
                    "execution_count": 19,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "combined_data = df.join(data.set_index('Postal Code'), on='Postal Code', how='inner')\ncombined_data"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "CLUSTERING THE DATA"
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [],
            "source": "from geopy.geocoders import Nominatim"
        },
        {
            "cell_type": "code",
            "execution_count": 21,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "The coordinates of Toronto are 43.6534817, -79.3839347.\n"
                }
            ],
            "source": "address = 'Toronto, Ontario'\n\ngeolocator = Nominatim(user_agent=\"toronto_explorer\")\nlocation = geolocator.geocode(address)\nlatitude = location.latitude\nlongitude = location.longitude\nprint('The coordinates of Toronto are {}, {}.'.format(latitude, longitude))"
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Requirement already satisfied: seaborn in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (0.10.1)\nCollecting folium\n  Downloading folium-0.11.0-py2.py3-none-any.whl (93 kB)\n\u001b[K     |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 93 kB 4.0 MB/s eta 0:00:011\n\u001b[?25hRequirement already satisfied: pandas>=0.22.0 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from seaborn) (1.0.5)\nRequirement already satisfied: numpy>=1.13.3 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from seaborn) (1.18.5)\nRequirement already satisfied: matplotlib>=2.1.2 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from seaborn) (3.2.2)\nRequirement already satisfied: scipy>=1.0.1 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from seaborn) (1.5.0)\nRequirement already satisfied: jinja2>=2.9 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from folium) (2.11.2)\nCollecting branca>=0.3.0\n  Downloading branca-0.4.1-py3-none-any.whl (24 kB)\nRequirement already satisfied: requests in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from folium) (2.24.0)\nRequirement already satisfied: pytz>=2017.2 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from pandas>=0.22.0->seaborn) (2020.1)\nRequirement already satisfied: python-dateutil>=2.6.1 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from pandas>=0.22.0->seaborn) (2.8.1)\nRequirement already satisfied: cycler>=0.10 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (0.10.0)\nRequirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (2.4.7)\nRequirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from matplotlib>=2.1.2->seaborn) (1.2.0)\nRequirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from jinja2>=2.9->folium) (1.1.1)\nRequirement already satisfied: idna<3,>=2.5 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->folium) (2.9)\nRequirement already satisfied: chardet<4,>=3.0.2 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->folium) (3.0.4)\nRequirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->folium) (1.25.9)\nRequirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from requests->folium) (2020.6.20)\nRequirement already satisfied: six>=1.5 in /opt/conda/envs/Python-3.7-main/lib/python3.7/site-packages (from python-dateutil>=2.6.1->pandas>=0.22.0->seaborn) (1.15.0)\nInstalling collected packages: branca, folium\nSuccessfully installed branca-0.4.1 folium-0.11.0\nNote: you may need to restart the kernel to use updated packages.\n"
                }
            ],
            "source": "pip install seaborn folium"
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "metadata": {},
            "outputs": [],
            "source": "import folium"
        },
        {
            "cell_type": "code",
            "execution_count": 25,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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            var html_167d8fb6fdfc425eb58461f02005375b = $(`<div id="html_167d8fb6fdfc425eb58461f02005375b" style="width: 100.0%; height: 100.0%;">The Kingsway, Montgomery Road, Old Mill North, Etobicoke</div>`)[0];
            popup_d3b40d7a2cba4ecf97e9d0b8deafb0b5.setContent(html_167d8fb6fdfc425eb58461f02005375b);
        

        circle_marker_e20ccea10f0941549afc9e603c01752a.bindPopup(popup_d3b40d7a2cba4ecf97e9d0b8deafb0b5)
        ;

        
    
    
            var circle_marker_64fa04cea1724e56bf182f25e563b0b7 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0e4211dc70714fa2a8feed6b116d7acb);
        
    
        var popup_80dedc4a7c9943d48da9c0734cb9d718 = L.popup({"maxWidth": "100%"});

        
            var html_3c043e3ce9094b8ba6f2a01a11ca2761 = $(`<div id="html_3c043e3ce9094b8ba6f2a01a11ca2761" style="width: 100.0%; height: 100.0%;">Church and Wellesley, Downtown Toronto</div>`)[0];
            popup_80dedc4a7c9943d48da9c0734cb9d718.setContent(html_3c043e3ce9094b8ba6f2a01a11ca2761);
        

        circle_marker_64fa04cea1724e56bf182f25e563b0b7.bindPopup(popup_80dedc4a7c9943d48da9c0734cb9d718)
        ;

        
    
    
            var circle_marker_760bcf9dce504772955ddc05ea510f8d = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0e4211dc70714fa2a8feed6b116d7acb);
        
    
        var popup_2d7fdf1ec077448aa1936dbeb9863b27 = L.popup({"maxWidth": "100%"});

        
            var html_d3481c6edc70483bb79fa18f3aa7599e = $(`<div id="html_d3481c6edc70483bb79fa18f3aa7599e" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto, East Toronto</div>`)[0];
            popup_2d7fdf1ec077448aa1936dbeb9863b27.setContent(html_d3481c6edc70483bb79fa18f3aa7599e);
        

        circle_marker_760bcf9dce504772955ddc05ea510f8d.bindPopup(popup_2d7fdf1ec077448aa1936dbeb9863b27)
        ;

        
    
    
            var circle_marker_bc4cfa64dfd44b2a853a57561aed0ddc = L.circleMarker(
                [43.6362579, -79.49850909999999],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0e4211dc70714fa2a8feed6b116d7acb);
        
    
        var popup_2d86439aeb164455b660e5cc1be22fa2 = L.popup({"maxWidth": "100%"});

        
            var html_297ef16bc8374a03ac6a6efc06d4e894 = $(`<div id="html_297ef16bc8374a03ac6a6efc06d4e894" style="width: 100.0%; height: 100.0%;">Old Mill South, King&#39;s Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East, Etobicoke</div>`)[0];
            popup_2d86439aeb164455b660e5cc1be22fa2.setContent(html_297ef16bc8374a03ac6a6efc06d4e894);
        

        circle_marker_bc4cfa64dfd44b2a853a57561aed0ddc.bindPopup(popup_2d86439aeb164455b660e5cc1be22fa2)
        ;

        
    
    
            var circle_marker_56acc7b6d8eb4fe689824c57f4f903f9 = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0e4211dc70714fa2a8feed6b116d7acb);
        
    
        var popup_1451f3739d74496bbeeb31a182587c9c = L.popup({"maxWidth": "100%"});

        
            var html_f8fb98fc101f48019104b9af2881478e = $(`<div id="html_f8fb98fc101f48019104b9af2881478e" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West, Etobicoke</div>`)[0];
            popup_1451f3739d74496bbeeb31a182587c9c.setContent(html_f8fb98fc101f48019104b9af2881478e);
        

        circle_marker_56acc7b6d8eb4fe689824c57f4f903f9.bindPopup(popup_1451f3739d74496bbeeb31a182587c9c)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>",
                        "text/plain": "<folium.folium.Map at 0x7f45871f3090>"
                    },
                    "execution_count": 25,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "# Creating the map of Toronto\nmap_Toronto = folium.Map(location=[latitude, longitude], zoom_start=11)\n\nfor latitude, longitude, borough, neighbourhood in zip(combined_data['Latitude'], combined_data['Longitude'], combined_data['Borough'], combined_data['Neighbourhood']):\n    label = '{}, {}'.format(neighbourhood, borough)\n    label = folium.Popup(label, parse_html=True)\n    folium.CircleMarker(\n        [latitude, longitude],\n        radius=5,\n        popup=label,\n        color='red',\n        fill=True\n        ).add_to(map_Toronto)  \n    \nmap_Toronto"
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Your credentails:\nCLIENT_ID: Y5DTUIUVTEHFYVWWWKVW5V2LW1VBGY1FIGNUEVELN4KHFOLH\nCLIENT_SECRET:V3MOG0SWSALJHYQB4NMEPCN3FM3ICQBCTZNGFOLY5QC15DKB\n"
                }
            ],
            "source": "CLIENT_ID = 'Y5DTUIUVTEHFYVWWWKVW5V2LW1VBGY1FIGNUEVELN4KHFOLH' \nCLIENT_SECRET = 'V3MOG0SWSALJHYQB4NMEPCN3FM3ICQBCTZNGFOLY5QC15DKB'\nVERSION = '20180605' # Foursquare API version\n\nprint('Your credentails:')\nprint('CLIENT_ID: ' + CLIENT_ID)\nprint('CLIENT_SECRET:' + CLIENT_SECRET)"
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [],
            "source": "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n    \n    venues_list=[]\n    for name, lat, lng in zip(names, latitudes, longitudes):\n        print(name)\n            \n        # create the API request URL\n        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}'.format(\n            CLIENT_ID, \n            CLIENT_SECRET, \n            VERSION, \n            lat, \n            lng, \n            radius\n            )\n            \n        # make the GET request\n        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n        \n        # return only relevant information for each nearby venue\n        venues_list.append([(\n            name, \n            lat, \n            lng, \n            v['venue']['name'], \n            v['venue']['categories'][0]['name']) for v in results])\n\n    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n    nearby_venues.columns = ['Neighbourhood', \n                  'Neighbourhood Latitude', \n                  'Neighbourhood Longitude', \n                  'Venue', \n                  'Venue Category']\n    \n    return(nearby_venues)"
        },
        {
            "cell_type": "code",
            "execution_count": 28,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Parkwoods\nVictoria Village\nRegent Park, Harbourfront\nLawrence Manor, Lawrence Heights\nQueen's Park, Ontario Provincial Government\nIslington Avenue, Humber Valley Village\nMalvern, Rouge\nDon Mills\nParkview Hill, Woodbine Gardens\nGarden District, Ryerson\nGlencairn\nWest Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale\nRouge Hill, Port Union, Highland Creek\nDon Mills\nWoodbine Heights\nSt. James Town\nHumewood-Cedarvale\nEringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood\nGuildwood, Morningside, West Hill\nThe Beaches\nBerczy Park\nCaledonia-Fairbanks\nWoburn\nLeaside\nCentral Bay Street\nChristie\nCedarbrae\nHillcrest Village\nBathurst Manor, Wilson Heights, Downsview North\nThorncliffe Park\nRichmond, Adelaide, King\nDufferin, Dovercourt Village\nScarborough Village\nFairview, Henry Farm, Oriole\nNorthwood Park, York University\nEast Toronto, Broadview North (Old East York)\nHarbourfront East, Union Station, Toronto Islands\nLittle Portugal, Trinity\nKennedy Park, Ionview, East Birchmount Park\nBayview Village\nDownsview\nThe Danforth West, Riverdale\nToronto Dominion Centre, Design Exchange\nBrockton, Parkdale Village, Exhibition Place\nGolden Mile, Clairlea, Oakridge\nYork Mills, Silver Hills\nDownsview\nIndia Bazaar, The Beaches West\nCommerce Court, Victoria Hotel\nNorth Park, Maple Leaf Park, Upwood Park\nHumber Summit\nCliffside, Cliffcrest, Scarborough Village West\nWillowdale, Newtonbrook\nDownsview\nStudio District\nBedford Park, Lawrence Manor East\nDel Ray, Mount Dennis, Keelsdale and Silverthorn\nHumberlea, Emery\nBirch Cliff, Cliffside West\nWillowdale, Willowdale East\nDownsview\nLawrence Park\nRoselawn\nRunnymede, The Junction North\nWeston\nDorset Park, Wexford Heights, Scarborough Town Centre\nYork Mills West\nDavisville North\nForest Hill North & West, Forest Hill Road Park\nHigh Park, The Junction South\nWestmount\nWexford, Maryvale\nWillowdale, Willowdale West\nNorth Toronto West, Lawrence Park\nThe Annex, North Midtown, Yorkville\nParkdale, Roncesvalles\nCanada Post Gateway Processing Centre\nKingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens\nAgincourt\nDavisville\nUniversity of Toronto, Harbord\nRunnymede, Swansea\nClarks Corners, Tam O'Shanter, Sullivan\nMoore Park, Summerhill East\nKensington Market, Chinatown, Grange Park\nMilliken, Agincourt North, Steeles East, L'Amoreaux East\nSummerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\nCN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\nNew Toronto, Mimico South, Humber Bay Shores\nSouth Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens\nSteeles West, L'Amoreaux West\nRosedale\nStn A PO Boxes\nAlderwood, Long Branch\nNorthwest, West Humber - Clairville\nUpper Rouge\nSt. James Town, Cabbagetown\nFirst Canadian Place, Underground city\nThe Kingsway, Montgomery Road, Old Mill North\nChurch and Wellesley\nBusiness reply mail Processing Centre, South Central Letter Processing Plant Toronto\nOld Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East\nMimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West\n"
                }
            ],
            "source": "venues_in_toronto = getNearbyVenues(combined_data['Neighbourhood'], combined_data['Latitude'], combined_data['Longitude'])"
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "(1320, 5)"
                    },
                    "execution_count": 29,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "venues_in_toronto.shape"
        },
        {
            "cell_type": "code",
            "execution_count": 30,
            "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>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Parkwoods</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n      <td>Brookbanks Park</td>\n      <td>Park</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Parkwoods</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n      <td>Variety Store</td>\n      <td>Food &amp; Drink Shop</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n      <td>Victoria Village Arena</td>\n      <td>Hockey Arena</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n      <td>Portugril</td>\n      <td>Portuguese Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n      <td>Tim Hortons</td>\n      <td>Coffee Shop</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "      Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n0         Parkwoods               43.753259               -79.329656   \n1         Parkwoods               43.753259               -79.329656   \n2  Victoria Village               43.725882               -79.315572   \n3  Victoria Village               43.725882               -79.315572   \n4  Victoria Village               43.725882               -79.315572   \n\n                    Venue         Venue Category  \n0         Brookbanks Park                   Park  \n1           Variety Store      Food & Drink Shop  \n2  Victoria Village Arena           Hockey Arena  \n3               Portugril  Portuguese Restaurant  \n4             Tim Hortons            Coffee Shop  "
                    },
                    "execution_count": 30,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "venues_in_toronto.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "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>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Category</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Parkwoods</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n      <td>Brookbanks Park</td>\n      <td>Park</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Parkwoods</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n      <td>Variety Store</td>\n      <td>Food &amp; Drink Shop</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n      <td>Victoria Village Arena</td>\n      <td>Hockey Arena</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n      <td>Portugril</td>\n      <td>Portuguese Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n      <td>Tim Hortons</td>\n      <td>Coffee Shop</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>1304</th>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n      <td>Wingporium</td>\n      <td>Wings Joint</td>\n    </tr>\n    <tr>\n      <th>1305</th>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n      <td>South St. Burger</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>1306</th>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n      <td>Dollarama</td>\n      <td>Discount Store</td>\n    </tr>\n    <tr>\n      <th>1307</th>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n      <td>Healthy Planet</td>\n      <td>Supplement Shop</td>\n    </tr>\n    <tr>\n      <th>1308</th>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n      <td>Artisano Bakery Caf\u00e9</td>\n      <td>Bakery</td>\n    </tr>\n  </tbody>\n</table>\n<p>413 rows \u00d7 5 columns</p>\n</div>",
                        "text/plain": "                                          Neighbourhood  \\\n0                                             Parkwoods   \n1                                             Parkwoods   \n2                                      Victoria Village   \n3                                      Victoria Village   \n4                                      Victoria Village   \n...                                                 ...   \n1304  Mimico NW, The Queensway West, South of Bloor,...   \n1305  Mimico NW, The Queensway West, South of Bloor,...   \n1306  Mimico NW, The Queensway West, South of Bloor,...   \n1307  Mimico NW, The Queensway West, South of Bloor,...   \n1308  Mimico NW, The Queensway West, South of Bloor,...   \n\n      Neighbourhood Latitude  Neighbourhood Longitude                   Venue  \\\n0                  43.753259               -79.329656         Brookbanks Park   \n1                  43.753259               -79.329656           Variety Store   \n2                  43.725882               -79.315572  Victoria Village Arena   \n3                  43.725882               -79.315572               Portugril   \n4                  43.725882               -79.315572             Tim Hortons   \n...                      ...                      ...                     ...   \n1304               43.628841               -79.520999              Wingporium   \n1305               43.628841               -79.520999        South St. Burger   \n1306               43.628841               -79.520999               Dollarama   \n1307               43.628841               -79.520999          Healthy Planet   \n1308               43.628841               -79.520999    Artisano Bakery Caf\u00e9   \n\n             Venue Category  \n0                      Park  \n1         Food & Drink Shop  \n2              Hockey Arena  \n3     Portuguese Restaurant  \n4               Coffee Shop  \n...                     ...  \n1304            Wings Joint  \n1305           Burger Joint  \n1306         Discount Store  \n1307        Supplement Shop  \n1308                 Bakery  \n\n[413 rows x 5 columns]"
                    },
                    "execution_count": 31,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "venues_in_toronto.groupby('Neighbourhood').head()"
        },
        {
            "cell_type": "code",
            "execution_count": 32,
            "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>Neighbourhood</th>\n      <th>Neighbourhood Latitude</th>\n      <th>Neighbourhood Longitude</th>\n      <th>Venue</th>\n    </tr>\n    <tr>\n      <th>Venue Category</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Accessories Store</th>\n      <td>Wexford, Maryvale</td>\n      <td>43.750072</td>\n      <td>-79.295849</td>\n      <td>Puffin Gear</td>\n    </tr>\n    <tr>\n      <th>Airport</th>\n      <td>Downsview</td>\n      <td>43.737473</td>\n      <td>-79.394420</td>\n      <td>Toronto Downsview Airport (YZD)</td>\n    </tr>\n    <tr>\n      <th>Airport Food Court</th>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>43.628947</td>\n      <td>-79.394420</td>\n      <td>Billy Bishop Caf\u00e9</td>\n    </tr>\n    <tr>\n      <th>Airport Gate</th>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>43.628947</td>\n      <td>-79.394420</td>\n      <td>Gate 8</td>\n    </tr>\n    <tr>\n      <th>Airport Lounge</th>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>43.628947</td>\n      <td>-79.394420</td>\n      <td>Porter Lounge</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>Warehouse Store</th>\n      <td>Thorncliffe Park</td>\n      <td>43.705369</td>\n      <td>-79.349372</td>\n      <td>Costco</td>\n    </tr>\n    <tr>\n      <th>Wine Bar</th>\n      <td>Studio District</td>\n      <td>43.659526</td>\n      <td>-79.340923</td>\n      <td>Paris Paris Bar</td>\n    </tr>\n    <tr>\n      <th>Wings Joint</th>\n      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n      <td>Wingporium</td>\n    </tr>\n    <tr>\n      <th>Women's Store</th>\n      <td>Lawrence Manor, Lawrence Heights</td>\n      <td>43.718518</td>\n      <td>-79.453512</td>\n      <td>Maximum Woman</td>\n    </tr>\n    <tr>\n      <th>Yoga Studio</th>\n      <td>University of Toronto, Harbord</td>\n      <td>43.715383</td>\n      <td>-79.340923</td>\n      <td>YogaSpace</td>\n    </tr>\n  </tbody>\n</table>\n<p>237 rows \u00d7 4 columns</p>\n</div>",
                        "text/plain": "                                                        Neighbourhood  \\\nVenue Category                                                          \nAccessories Store                                   Wexford, Maryvale   \nAirport                                                     Downsview   \nAirport Food Court  CN Tower, King and Spadina, Railway Lands, Har...   \nAirport Gate        CN Tower, King and Spadina, Railway Lands, Har...   \nAirport Lounge      CN Tower, King and Spadina, Railway Lands, Har...   \n...                                                               ...   \nWarehouse Store                                      Thorncliffe Park   \nWine Bar                                              Studio District   \nWings Joint         Mimico NW, The Queensway West, South of Bloor,...   \nWomen's Store                        Lawrence Manor, Lawrence Heights   \nYoga Studio                            University of Toronto, Harbord   \n\n                    Neighbourhood Latitude  Neighbourhood Longitude  \\\nVenue Category                                                        \nAccessories Store                43.750072               -79.295849   \nAirport                          43.737473               -79.394420   \nAirport Food Court               43.628947               -79.394420   \nAirport Gate                     43.628947               -79.394420   \nAirport Lounge                   43.628947               -79.394420   \n...                                    ...                      ...   \nWarehouse Store                  43.705369               -79.349372   \nWine Bar                         43.659526               -79.340923   \nWings Joint                      43.628841               -79.520999   \nWomen's Store                    43.718518               -79.453512   \nYoga Studio                      43.715383               -79.340923   \n\n                                              Venue  \nVenue Category                                       \nAccessories Store                       Puffin Gear  \nAirport             Toronto Downsview Airport (YZD)  \nAirport Food Court                Billy Bishop Caf\u00e9  \nAirport Gate                                 Gate 8  \nAirport Lounge                        Porter Lounge  \n...                                             ...  \nWarehouse Store                              Costco  \nWine Bar                            Paris Paris Bar  \nWings Joint                              Wingporium  \nWomen's Store                         Maximum Woman  \nYoga Studio                               YogaSpace  \n\n[237 rows x 4 columns]"
                    },
                    "execution_count": 32,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "venues_in_toronto.groupby('Venue Category').max()"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "hot encoding"
        },
        {
            "cell_type": "code",
            "execution_count": 33,
            "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>Accessories Store</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>...</th>\n      <th>Train Station</th>\n      <th>Turkish Restaurant</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Warehouse Store</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</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>...</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>1</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>...</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>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>...</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>3</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>...</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>4</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>...</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>...</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      <td>...</td>\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      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1315</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>...</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>1316</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>...</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>1317</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>...</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>1318</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>...</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>1319</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>...</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<p>1320 rows \u00d7 237 columns</p>\n</div>",
                        "text/plain": "      Accessories Store  Airport  Airport Food Court  Airport Gate  \\\n0                     0        0                   0             0   \n1                     0        0                   0             0   \n2                     0        0                   0             0   \n3                     0        0                   0             0   \n4                     0        0                   0             0   \n...                 ...      ...                 ...           ...   \n1315                  0        0                   0             0   \n1316                  0        0                   0             0   \n1317                  0        0                   0             0   \n1318                  0        0                   0             0   \n1319                  0        0                   0             0   \n\n      Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n0                  0                0                 0                    0   \n1                  0                0                 0                    0   \n2                  0                0                 0                    0   \n3                  0                0                 0                    0   \n4                  0                0                 0                    0   \n...              ...              ...               ...                  ...   \n1315               0                0                 0                    0   \n1316               0                0                 0                    0   \n1317               0                0                 0                    0   \n1318               0                0                 0                    0   \n1319               0                0                 0                    0   \n\n      Antique Shop  Aquarium  ...  Train Station  Turkish Restaurant  \\\n0                0         0  ...              0                   0   \n1                0         0  ...              0                   0   \n2                0         0  ...              0                   0   \n3                0         0  ...              0                   0   \n4                0         0  ...              0                   0   \n...            ...       ...  ...            ...                 ...   \n1315             0         0  ...              0                   0   \n1316             0         0  ...              0                   0   \n1317             0         0  ...              0                   0   \n1318             0         0  ...              0                   0   \n1319             0         0  ...              0                   0   \n\n      Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n0                                 0                 0                      0   \n1                                 0                 0                      0   \n2                                 0                 0                      0   \n3                                 0                 0                      0   \n4                                 0                 0                      0   \n...                             ...               ...                    ...   \n1315                              0                 0                      0   \n1316                              0                 0                      0   \n1317                              0                 0                      0   \n1318                              0                 0                      0   \n1319                              0                 0                      0   \n\n      Warehouse Store  Wine Bar  Wings Joint  Women's Store  Yoga Studio  \n0                   0         0            0              0            0  \n1                   0         0            0              0            0  \n2                   0         0            0              0            0  \n3                   0         0            0              0            0  \n4                   0         0            0              0            0  \n...               ...       ...          ...            ...          ...  \n1315                0         0            0              0            0  \n1316                0         0            0              0            0  \n1317                0         0            0              0            0  \n1318                0         0            0              0            0  \n1319                0         0            0              0            0  \n\n[1320 rows x 237 columns]"
                    },
                    "execution_count": 33,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_venue_cat = pd.get_dummies(venues_in_toronto[['Venue Category']], prefix=\"\", prefix_sep=\"\")\ntoronto_venue_cat"
        },
        {
            "cell_type": "code",
            "execution_count": 34,
            "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>Neighbourhood</th>\n      <th>Accessories Store</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>...</th>\n      <th>Train Station</th>\n      <th>Turkish Restaurant</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Warehouse Store</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Parkwoods</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>...</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>1</th>\n      <td>Parkwoods</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>...</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>Victoria Village</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>...</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>3</th>\n      <td>Victoria Village</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>...</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>4</th>\n      <td>Victoria Village</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>...</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<p>5 rows \u00d7 238 columns</p>\n</div>",
                        "text/plain": "      Neighbourhood  Accessories Store  Airport  Airport Food Court  \\\n0         Parkwoods                  0        0                   0   \n1         Parkwoods                  0        0                   0   \n2  Victoria Village                  0        0                   0   \n3  Victoria Village                  0        0                   0   \n4  Victoria Village                  0        0                   0   \n\n   Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n0             0               0                0                 0   \n1             0               0                0                 0   \n2             0               0                0                 0   \n3             0               0                0                 0   \n4             0               0                0                 0   \n\n   American Restaurant  Antique Shop  ...  Train Station  Turkish Restaurant  \\\n0                    0             0  ...              0                   0   \n1                    0             0  ...              0                   0   \n2                    0             0  ...              0                   0   \n3                    0             0  ...              0                   0   \n4                    0             0  ...              0                   0   \n\n   Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n0                              0                 0                      0   \n1                              0                 0                      0   \n2                              0                 0                      0   \n3                              0                 0                      0   \n4                              0                 0                      0   \n\n   Warehouse Store  Wine Bar  Wings Joint  Women's Store  Yoga Studio  \n0                0         0            0              0            0  \n1                0         0            0              0            0  \n2                0         0            0              0            0  \n3                0         0            0              0            0  \n4                0         0            0              0            0  \n\n[5 rows x 238 columns]"
                    },
                    "execution_count": 34,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_venue_cat['Neighbourhood'] = venues_in_toronto['Neighbourhood'] \n\n# moving neighborhood column to the first column\nfixed_columns = [toronto_venue_cat.columns[-1]] + list(toronto_venue_cat.columns[:-1])\ntoronto_venue_cat = toronto_venue_cat[fixed_columns]\n\ntoronto_venue_cat.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 35,
            "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>Neighbourhood</th>\n      <th>Accessories Store</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>...</th>\n      <th>Train Station</th>\n      <th>Turkish Restaurant</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Warehouse Store</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Agincourt</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Alderwood, Long Branch</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</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>Bathurst Manor, Wilson Heights, Downsview North</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Bayview Village</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</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>Bedford Park, Lawrence Manor East</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.045455</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows \u00d7 238 columns</p>\n</div>",
                        "text/plain": "                                     Neighbourhood  Accessories Store  \\\n0                                        Agincourt                0.0   \n1                           Alderwood, Long Branch                0.0   \n2  Bathurst Manor, Wilson Heights, Downsview North                0.0   \n3                                  Bayview Village                0.0   \n4                Bedford Park, Lawrence Manor East                0.0   \n\n   Airport  Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\n0      0.0                 0.0           0.0             0.0              0.0   \n1      0.0                 0.0           0.0             0.0              0.0   \n2      0.0                 0.0           0.0             0.0              0.0   \n3      0.0                 0.0           0.0             0.0              0.0   \n4      0.0                 0.0           0.0             0.0              0.0   \n\n   Airport Terminal  American Restaurant  Antique Shop  ...  Train Station  \\\n0               0.0             0.000000           0.0  ...            0.0   \n1               0.0             0.000000           0.0  ...            0.0   \n2               0.0             0.000000           0.0  ...            0.0   \n3               0.0             0.000000           0.0  ...            0.0   \n4               0.0             0.045455           0.0  ...            0.0   \n\n   Turkish Restaurant  Vegetarian / Vegan Restaurant  Video Game Store  \\\n0                 0.0                            0.0               0.0   \n1                 0.0                            0.0               0.0   \n2                 0.0                            0.0               0.0   \n3                 0.0                            0.0               0.0   \n4                 0.0                            0.0               0.0   \n\n   Vietnamese Restaurant  Warehouse Store  Wine Bar  Wings Joint  \\\n0                    0.0              0.0       0.0          0.0   \n1                    0.0              0.0       0.0          0.0   \n2                    0.0              0.0       0.0          0.0   \n3                    0.0              0.0       0.0          0.0   \n4                    0.0              0.0       0.0          0.0   \n\n   Women's Store  Yoga Studio  \n0            0.0          0.0  \n1            0.0          0.0  \n2            0.0          0.0  \n3            0.0          0.0  \n4            0.0          0.0  \n\n[5 rows x 238 columns]"
                    },
                    "execution_count": 35,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_grouped = toronto_venue_cat.groupby('Neighbourhood').mean().reset_index()\ntoronto_grouped.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 36,
            "metadata": {},
            "outputs": [],
            "source": "def return_most_common_venues(row, num_top_venues):\n    row_categories = row.iloc[1:]\n    row_categories_sorted = row_categories.sort_values(ascending=False)\n    \n    return row_categories_sorted.index.values[0:num_top_venues]"
        },
        {
            "cell_type": "code",
            "execution_count": 37,
            "metadata": {},
            "outputs": [],
            "source": "import numpy as np"
        },
        {
            "cell_type": "code",
            "execution_count": 38,
            "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>Neighbourhood</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Agincourt</td>\n      <td>Lounge</td>\n      <td>Latin American Restaurant</td>\n      <td>Breakfast Spot</td>\n      <td>Skating Rink</td>\n      <td>Clothing Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Alderwood, Long Branch</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Pharmacy</td>\n      <td>Coffee Shop</td>\n      <td>Pub</td>\n      <td>Gym</td>\n      <td>Airport Service</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n      <td>Coffee Shop</td>\n      <td>Bank</td>\n      <td>Pharmacy</td>\n      <td>Chinese Restaurant</td>\n      <td>Shopping Mall</td>\n      <td>Sandwich Place</td>\n      <td>Diner</td>\n      <td>Restaurant</td>\n      <td>Deli / Bodega</td>\n      <td>Supermarket</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Bayview Village</td>\n      <td>Bank</td>\n      <td>Chinese Restaurant</td>\n      <td>Japanese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Yoga Studio</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Bedford Park, Lawrence Manor East</td>\n      <td>Coffee Shop</td>\n      <td>Sandwich Place</td>\n      <td>Italian Restaurant</td>\n      <td>Thai Restaurant</td>\n      <td>Pharmacy</td>\n      <td>Pizza Place</td>\n      <td>Pub</td>\n      <td>Caf\u00e9</td>\n      <td>Restaurant</td>\n      <td>Butcher</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "                                     Neighbourhood 1st Most Common Venue  \\\n0                                        Agincourt                Lounge   \n1                           Alderwood, Long Branch           Pizza Place   \n2  Bathurst Manor, Wilson Heights, Downsview North           Coffee Shop   \n3                                  Bayview Village                  Bank   \n4                Bedford Park, Lawrence Manor East           Coffee Shop   \n\n       2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n0  Latin American Restaurant        Breakfast Spot          Skating Rink   \n1             Sandwich Place              Pharmacy           Coffee Shop   \n2                       Bank              Pharmacy    Chinese Restaurant   \n3         Chinese Restaurant   Japanese Restaurant                  Caf\u00e9   \n4             Sandwich Place    Italian Restaurant       Thai Restaurant   \n\n  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n0        Clothing Store    Dim Sum Restaurant           Escape Room   \n1                   Pub                   Gym       Airport Service   \n2         Shopping Mall        Sandwich Place                 Diner   \n3           Yoga Studio    Dim Sum Restaurant           Escape Room   \n4              Pharmacy           Pizza Place                   Pub   \n\n  8th Most Common Venue        9th Most Common Venue  \\\n0     Electronics Store  Eastern European Restaurant   \n1  Ethiopian Restaurant            Electronics Store   \n2            Restaurant                Deli / Bodega   \n3     Electronics Store  Eastern European Restaurant   \n4                  Caf\u00e9                   Restaurant   \n\n        10th Most Common Venue  \n0          Dumpling Restaurant  \n1  Eastern European Restaurant  \n2                  Supermarket  \n3          Dumpling Restaurant  \n4                      Butcher  "
                    },
                    "execution_count": 38,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "num_top_venues = 10\n\nindicators = ['st', 'nd', 'rd']\n\n# create columns according to number of top venues\ncolumns = ['Neighbourhood']\nfor ind in np.arange(num_top_venues):\n    try:\n        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n    except:\n        columns.append('{}th Most Common Venue'.format(ind+1))\n\n# create a new dataframe\nneighborhoods_venues_sorted = pd.DataFrame(columns=columns)\nneighborhoods_venues_sorted['Neighbourhood'] = toronto_grouped['Neighbourhood']\n\nfor ind in np.arange(toronto_grouped.shape[0]):\n    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n\nneighborhoods_venues_sorted.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "CLUSTERING MODEL"
        },
        {
            "cell_type": "code",
            "execution_count": 39,
            "metadata": {},
            "outputs": [],
            "source": "from sklearn.cluster import KMeans"
        },
        {
            "cell_type": "code",
            "execution_count": 40,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "KMeans(n_clusters=5, random_state=0)"
                    },
                    "execution_count": 40,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "k_num_clusters = 5\n\ntoronto_grouped_clustering = toronto_grouped.drop('Neighbourhood', 1)\n\n# run k-means clustering\nkmeans = KMeans(n_clusters=k_num_clusters, random_state=0).fit(toronto_grouped_clustering)\nkmeans"
        },
        {
            "cell_type": "code",
            "execution_count": 41,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 0, 1, 1, 4, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1,\n       0, 1, 1, 1, 1, 1, 0, 2], dtype=int32)"
                    },
                    "execution_count": 41,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "kmeans.labels_[0:100]"
        },
        {
            "cell_type": "code",
            "execution_count": 42,
            "metadata": {},
            "outputs": [],
            "source": "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)"
        },
        {
            "cell_type": "code",
            "execution_count": 43,
            "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighbourhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n      <td>1.0</td>\n      <td>Pizza Place</td>\n      <td>Coffee Shop</td>\n      <td>Hockey Arena</td>\n      <td>Portuguese Restaurant</td>\n      <td>Intersection</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n      <td>Dumpling Restaurant</td>\n      <td>Deli / Bodega</td>\n      <td>Distribution Center</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.654260</td>\n      <td>-79.360636</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Park</td>\n      <td>Bakery</td>\n      <td>Breakfast Spot</td>\n      <td>Theater</td>\n      <td>Chocolate Shop</td>\n      <td>Distribution Center</td>\n      <td>Spa</td>\n      <td>Farmers Market</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n      <td>43.718518</td>\n      <td>-79.464763</td>\n      <td>1.0</td>\n      <td>Clothing Store</td>\n      <td>Accessories Store</td>\n      <td>Boutique</td>\n      <td>Gift Shop</td>\n      <td>Furniture / Home Store</td>\n      <td>Event Space</td>\n      <td>Coffee Shop</td>\n      <td>Women's Store</td>\n      <td>Vietnamese Restaurant</td>\n      <td>Airport Terminal</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n      <td>43.662301</td>\n      <td>-79.389494</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Yoga Studio</td>\n      <td>Diner</td>\n      <td>Sandwich Place</td>\n      <td>Portuguese Restaurant</td>\n      <td>Park</td>\n      <td>Mexican Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Hobby Shop</td>\n      <td>Fried Chicken Joint</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "  Postal Code           Borough                                Neighbourhood  \\\n0         M3A        North York                                    Parkwoods   \n1         M4A        North York                             Victoria Village   \n2         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n3         M6A        North York             Lawrence Manor, Lawrence Heights   \n4         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n\n    Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n0  43.753259 -79.329656             0.0                  Park   \n1  43.725882 -79.315572             1.0           Pizza Place   \n2  43.654260 -79.360636             1.0           Coffee Shop   \n3  43.718518 -79.464763             1.0        Clothing Store   \n4  43.662301 -79.389494             1.0           Coffee Shop   \n\n  2nd Most Common Venue 3rd Most Common Venue  4th Most Common Venue  \\\n0     Food & Drink Shop           Yoga Studio           Dessert Shop   \n1           Coffee Shop          Hockey Arena  Portuguese Restaurant   \n2                  Park                Bakery         Breakfast Spot   \n3     Accessories Store              Boutique              Gift Shop   \n4           Yoga Studio                 Diner         Sandwich Place   \n\n    5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n0             Escape Room     Electronics Store  Eastern European Restaurant   \n1            Intersection             Drugstore                   Donut Shop   \n2                 Theater        Chocolate Shop          Distribution Center   \n3  Furniture / Home Store           Event Space                  Coffee Shop   \n4   Portuguese Restaurant                  Park           Mexican Restaurant   \n\n  8th Most Common Venue  9th Most Common Venue 10th Most Common Venue  \n0   Dumpling Restaurant              Drugstore             Donut Shop  \n1   Dumpling Restaurant          Deli / Bodega    Distribution Center  \n2                   Spa         Farmers Market           Dessert Shop  \n3         Women's Store  Vietnamese Restaurant       Airport Terminal  \n4    Italian Restaurant             Hobby Shop    Fried Chicken Joint  "
                    },
                    "execution_count": 43,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_merged = combined_data\ntoronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighbourhood'), on='Neighbourhood')\ntoronto_merged.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 44,
            "metadata": {},
            "outputs": [],
            "source": "toronto_merged_nonan = toronto_merged.dropna(subset=['Cluster Labels'])"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "PLOTTING"
        },
        {
            "cell_type": "code",
            "execution_count": 45,
            "metadata": {},
            "outputs": [],
            "source": "import matplotlib.cm as cm\nimport matplotlib.colors as colors"
        },
        {
            "cell_type": "code",
            "execution_count": 46,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
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        circle_marker_62b6b66f3a4c41b0a6fcc18206d01eb5.bindPopup(popup_172b0dde89e74809bfc9658100b756c9)
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        var popup_f7f44f5763ef4d88a2d78533fd7fc26d = L.popup({"maxWidth": "100%"});

        
            var html_1c74feea301a4eada24cca3937466014 = $(`<div id="html_1c74feea301a4eada24cca3937466014" style="width: 100.0%; height: 100.0%;">Cluster 2 The Beaches</div>`)[0];
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        circle_marker_055d92c80d0d4abc8a2967d95bd76382.bindPopup(popup_f7f44f5763ef4d88a2d78533fd7fc26d)
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            popup_b3b9bce0dd984a5cbc3aeff9b0084972.setContent(html_de1804eaa6094721afba256c8658c80c);
        

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            popup_4d5e163ab04a466fac87887ac41cadf0.setContent(html_487ce4dfea704af786b454b78feb3c45);
        

        circle_marker_d303542d7c2b4f8f931d50b12a4e0fa0.bindPopup(popup_4d5e163ab04a466fac87887ac41cadf0)
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        circle_marker_e94e68bf02df44b88074e32ea4f096ab.bindPopup(popup_8a304cbe68db4c1d8390617c112dc369)
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            popup_1ea383fe86a64b70af4c97ad7b422d9d.setContent(html_e3b898b8e11a4a88a89b9fae4ad5552f);
        

        circle_marker_a22aa9fc7cff4cc9b6e293ead8b30817.bindPopup(popup_1ea383fe86a64b70af4c97ad7b422d9d)
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        var popup_ab1055a60cdc4e85ba142f4c30e23669 = L.popup({"maxWidth": "100%"});

        
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            popup_ab1055a60cdc4e85ba142f4c30e23669.setContent(html_6f9de11e378e4ce6a7588d8cbb9681c1);
        

        circle_marker_8a64f0efbedc450281c2d640b614a4ca.bindPopup(popup_ab1055a60cdc4e85ba142f4c30e23669)
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            var circle_marker_93bdd3c2e9c94eea810ac7133abf0a2a = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_ed52d589208e4b548cbbc278bf7279f2 = L.popup({"maxWidth": "100%"});

        
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            popup_ed52d589208e4b548cbbc278bf7279f2.setContent(html_0e11e2f65fd046c2a3befb49d355a6c9);
        

        circle_marker_93bdd3c2e9c94eea810ac7133abf0a2a.bindPopup(popup_ed52d589208e4b548cbbc278bf7279f2)
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            var circle_marker_97493776f76d46b08442b002ffc2c38b = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_8ea4ffc6d0a74994b2b5c8d47ae7cf16 = L.popup({"maxWidth": "100%"});

        
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            popup_8ea4ffc6d0a74994b2b5c8d47ae7cf16.setContent(html_a36c58b12e4742458e57f5dd144a2e9e);
        

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            var circle_marker_e8cbbd8113bd47c480ca8dfc34b94129 = L.circleMarker(
                [43.7543283, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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            popup_49ab3cee5e0b49c6a3b69f347356f658.setContent(html_0069ecdf6ac54793b3b70b424de1a02a);
        

        circle_marker_e8cbbd8113bd47c480ca8dfc34b94129.bindPopup(popup_49ab3cee5e0b49c6a3b69f347356f658)
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        var popup_1d2ba1ec425547a8b91f0079566b8353 = L.popup({"maxWidth": "100%"});

        
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            popup_1d2ba1ec425547a8b91f0079566b8353.setContent(html_40707759aed34df78047310a30ad7a00);
        

        circle_marker_c8c23b834cf84d85b00c98ccc16c1136.bindPopup(popup_1d2ba1ec425547a8b91f0079566b8353)
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        var popup_3f515ba32ec84e1a976f57c98fdd0e88 = L.popup({"maxWidth": "100%"});

        
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            popup_3f515ba32ec84e1a976f57c98fdd0e88.setContent(html_0ff1ef815fc54d03984b397d4be59a66);
        

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            popup_6fb71bb1c1764132816545e8346d6e48.setContent(html_66855fe6113f4bb3b32205ed3d8ac7c7);
        

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        var popup_3716ff1688d1454f9950c38194f64508 = L.popup({"maxWidth": "100%"});

        
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            popup_3716ff1688d1454f9950c38194f64508.setContent(html_e5dbc5774f2c42b6b5425bc435401291);
        

        circle_marker_2bd2b7b8d5f143f1b38e0289b7345552.bindPopup(popup_3716ff1688d1454f9950c38194f64508)
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            var circle_marker_ea240e6f68cd427da2acc697a26901b7 = L.circleMarker(
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        var popup_6ac700c648894c54abfd08dde9131f91 = L.popup({"maxWidth": "100%"});

        
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            popup_6ac700c648894c54abfd08dde9131f91.setContent(html_e1bad99e13d1420a9aa1c1f63fe04fa3);
        

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            var circle_marker_1bc53a470ee642eaa4a9e4f66c77859a = L.circleMarker(
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            var circle_marker_0b75b203289544ce8e04f56d586b9a77 = L.circleMarker(
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            var html_d89ddb16432e434f929a041faf3e7619 = $(`<div id="html_d89ddb16432e434f929a041faf3e7619" style="width: 100.0%; height: 100.0%;">Cluster 1 East Toronto, Broadview North (Old East York)</div>`)[0];
            popup_f91ca7e0879d4dca80b69a6311daeafc.setContent(html_d89ddb16432e434f929a041faf3e7619);
        

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            var circle_marker_b0cd90c4b3db459c982159131a7cc338 = L.circleMarker(
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            popup_08be02067a7545f7baeb64a2ece1004a.setContent(html_36fee26b49bd48f0a71de8e2e0191ad7);
        

        circle_marker_b0cd90c4b3db459c982159131a7cc338.bindPopup(popup_08be02067a7545f7baeb64a2ece1004a)
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            var circle_marker_bf5f97853ea54f99995bd550d214e2c7 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_b56cc0119abb4446ad7a931664ba4c0a = L.popup({"maxWidth": "100%"});

        
            var html_23eb7a4d60d84530b04ab6a77cd2876c = $(`<div id="html_23eb7a4d60d84530b04ab6a77cd2876c" style="width: 100.0%; height: 100.0%;">Cluster 2 Little Portugal, Trinity</div>`)[0];
            popup_b56cc0119abb4446ad7a931664ba4c0a.setContent(html_23eb7a4d60d84530b04ab6a77cd2876c);
        

        circle_marker_bf5f97853ea54f99995bd550d214e2c7.bindPopup(popup_b56cc0119abb4446ad7a931664ba4c0a)
        ;

        
    
    
            var circle_marker_40f401f047514070a8d649aa3d99e60b = L.circleMarker(
                [43.7279292, -79.26202940000002],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_a2fd7e4436a54fc0a098981f88489375 = L.popup({"maxWidth": "100%"});

        
            var html_dbff412da8aa4a30b585d87d131396b8 = $(`<div id="html_dbff412da8aa4a30b585d87d131396b8" style="width: 100.0%; height: 100.0%;">Cluster 2 Kennedy Park, Ionview, East Birchmount Park</div>`)[0];
            popup_a2fd7e4436a54fc0a098981f88489375.setContent(html_dbff412da8aa4a30b585d87d131396b8);
        

        circle_marker_40f401f047514070a8d649aa3d99e60b.bindPopup(popup_a2fd7e4436a54fc0a098981f88489375)
        ;

        
    
    
            var circle_marker_97aa262f7c194cf2bc40498d5dee95c1 = L.circleMarker(
                [43.7869473, -79.385975],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_3db8ef4c0d3545038b5c748b9cb5a7bc = L.popup({"maxWidth": "100%"});

        
            var html_094dfced0da445589a424dbe6614fd62 = $(`<div id="html_094dfced0da445589a424dbe6614fd62" style="width: 100.0%; height: 100.0%;">Cluster 2 Bayview Village</div>`)[0];
            popup_3db8ef4c0d3545038b5c748b9cb5a7bc.setContent(html_094dfced0da445589a424dbe6614fd62);
        

        circle_marker_97aa262f7c194cf2bc40498d5dee95c1.bindPopup(popup_3db8ef4c0d3545038b5c748b9cb5a7bc)
        ;

        
    
    
            var circle_marker_7e69c9c21f554510be325bbd335d40e5 = L.circleMarker(
                [43.737473200000004, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_eaba95c74e0f4024ae73a2b0554c140e = L.popup({"maxWidth": "100%"});

        
            var html_fd8ba2902feb434eaecf113847336ab4 = $(`<div id="html_fd8ba2902feb434eaecf113847336ab4" style="width: 100.0%; height: 100.0%;">Cluster 2 Downsview</div>`)[0];
            popup_eaba95c74e0f4024ae73a2b0554c140e.setContent(html_fd8ba2902feb434eaecf113847336ab4);
        

        circle_marker_7e69c9c21f554510be325bbd335d40e5.bindPopup(popup_eaba95c74e0f4024ae73a2b0554c140e)
        ;

        
    
    
            var circle_marker_3add217c95344fe18332fe66725bdb16 = L.circleMarker(
                [43.6795571, -79.352188],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_1964ee4aaaf14c0ca8067c9757f1ba37 = L.popup({"maxWidth": "100%"});

        
            var html_4e039ecb0db747e5be9a7d48254ed5eb = $(`<div id="html_4e039ecb0db747e5be9a7d48254ed5eb" style="width: 100.0%; height: 100.0%;">Cluster 2 The Danforth West, Riverdale</div>`)[0];
            popup_1964ee4aaaf14c0ca8067c9757f1ba37.setContent(html_4e039ecb0db747e5be9a7d48254ed5eb);
        

        circle_marker_3add217c95344fe18332fe66725bdb16.bindPopup(popup_1964ee4aaaf14c0ca8067c9757f1ba37)
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            var circle_marker_624d602bb7ca429aa61695d3fea99bd0 = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_a2a0983abcc94ad2adb5060bab3b8733 = L.popup({"maxWidth": "100%"});

        
            var html_09ee6511524045cd908c3dd12f06f6f8 = $(`<div id="html_09ee6511524045cd908c3dd12f06f6f8" style="width: 100.0%; height: 100.0%;">Cluster 2 Toronto Dominion Centre, Design Exchange</div>`)[0];
            popup_a2a0983abcc94ad2adb5060bab3b8733.setContent(html_09ee6511524045cd908c3dd12f06f6f8);
        

        circle_marker_624d602bb7ca429aa61695d3fea99bd0.bindPopup(popup_a2a0983abcc94ad2adb5060bab3b8733)
        ;

        
    
    
            var circle_marker_c9da67648b4541d0a4e668f16f9439d7 = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_d581ba06b9974bfa9511aeb7fd776977 = L.popup({"maxWidth": "100%"});

        
            var html_d02a6944f7804514b28b234198b5d1ef = $(`<div id="html_d02a6944f7804514b28b234198b5d1ef" style="width: 100.0%; height: 100.0%;">Cluster 2 Brockton, Parkdale Village, Exhibition Place</div>`)[0];
            popup_d581ba06b9974bfa9511aeb7fd776977.setContent(html_d02a6944f7804514b28b234198b5d1ef);
        

        circle_marker_c9da67648b4541d0a4e668f16f9439d7.bindPopup(popup_d581ba06b9974bfa9511aeb7fd776977)
        ;

        
    
    
            var circle_marker_2041b217a85849a995ae2f7637b7f98f = L.circleMarker(
                [43.711111700000004, -79.2845772],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_8f57767920f94c45aef56840f20f0c1b = L.popup({"maxWidth": "100%"});

        
            var html_2dac6deca5d94fd985108c7f96be88f7 = $(`<div id="html_2dac6deca5d94fd985108c7f96be88f7" style="width: 100.0%; height: 100.0%;">Cluster 2 Golden Mile, Clairlea, Oakridge</div>`)[0];
            popup_8f57767920f94c45aef56840f20f0c1b.setContent(html_2dac6deca5d94fd985108c7f96be88f7);
        

        circle_marker_2041b217a85849a995ae2f7637b7f98f.bindPopup(popup_8f57767920f94c45aef56840f20f0c1b)
        ;

        
    
    
            var circle_marker_401d0ba7efb44db886728280cabb257f = L.circleMarker(
                [43.7574902, -79.37471409999999],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_e4d6cd7577b34e1db64f006193f34ec7 = L.popup({"maxWidth": "100%"});

        
            var html_df24c7ca568d43ee866dc71134172c9f = $(`<div id="html_df24c7ca568d43ee866dc71134172c9f" style="width: 100.0%; height: 100.0%;">Cluster 3 York Mills, Silver Hills</div>`)[0];
            popup_e4d6cd7577b34e1db64f006193f34ec7.setContent(html_df24c7ca568d43ee866dc71134172c9f);
        

        circle_marker_401d0ba7efb44db886728280cabb257f.bindPopup(popup_e4d6cd7577b34e1db64f006193f34ec7)
        ;

        
    
    
            var circle_marker_c61d800cc399489b8e5f31fedb3dffcc = L.circleMarker(
                [43.7390146, -79.5069436],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_49877085e65949478857718cdcd940b2 = L.popup({"maxWidth": "100%"});

        
            var html_3b66a284adfd4bb091d3683073c83cec = $(`<div id="html_3b66a284adfd4bb091d3683073c83cec" style="width: 100.0%; height: 100.0%;">Cluster 2 Downsview</div>`)[0];
            popup_49877085e65949478857718cdcd940b2.setContent(html_3b66a284adfd4bb091d3683073c83cec);
        

        circle_marker_c61d800cc399489b8e5f31fedb3dffcc.bindPopup(popup_49877085e65949478857718cdcd940b2)
        ;

        
    
    
            var circle_marker_f3b2b14000804b4bacbd8da6e61736da = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_2fea7099964a4333b7c4f056145e1aeb = L.popup({"maxWidth": "100%"});

        
            var html_e2460e169bab4f21a6a0131d67be417a = $(`<div id="html_e2460e169bab4f21a6a0131d67be417a" style="width: 100.0%; height: 100.0%;">Cluster 2 India Bazaar, The Beaches West</div>`)[0];
            popup_2fea7099964a4333b7c4f056145e1aeb.setContent(html_e2460e169bab4f21a6a0131d67be417a);
        

        circle_marker_f3b2b14000804b4bacbd8da6e61736da.bindPopup(popup_2fea7099964a4333b7c4f056145e1aeb)
        ;

        
    
    
            var circle_marker_b59b9f8a983e49599151150284a47e08 = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_617bdc06ef9940af82a1973ba6700112 = L.popup({"maxWidth": "100%"});

        
            var html_6c9a0befe91146df8a4b46ce57e16676 = $(`<div id="html_6c9a0befe91146df8a4b46ce57e16676" style="width: 100.0%; height: 100.0%;">Cluster 2 Commerce Court, Victoria Hotel</div>`)[0];
            popup_617bdc06ef9940af82a1973ba6700112.setContent(html_6c9a0befe91146df8a4b46ce57e16676);
        

        circle_marker_b59b9f8a983e49599151150284a47e08.bindPopup(popup_617bdc06ef9940af82a1973ba6700112)
        ;

        
    
    
            var circle_marker_6918e9c780644213bbb68f6a962cd024 = L.circleMarker(
                [43.713756200000006, -79.4900738],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_076c03791bbe46fcaa5c1885c129b972 = L.popup({"maxWidth": "100%"});

        
            var html_d98666ef14014d3d8b229f3e8499cacf = $(`<div id="html_d98666ef14014d3d8b229f3e8499cacf" style="width: 100.0%; height: 100.0%;">Cluster 1 North Park, Maple Leaf Park, Upwood Park</div>`)[0];
            popup_076c03791bbe46fcaa5c1885c129b972.setContent(html_d98666ef14014d3d8b229f3e8499cacf);
        

        circle_marker_6918e9c780644213bbb68f6a962cd024.bindPopup(popup_076c03791bbe46fcaa5c1885c129b972)
        ;

        
    
    
            var circle_marker_ec87e61845f1483985f0868c9bb8c209 = L.circleMarker(
                [43.7563033, -79.56596329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_cd97e298345247559618a2254c2298cc = L.popup({"maxWidth": "100%"});

        
            var html_6f6d8f337ddf439682da4bd08dc7d662 = $(`<div id="html_6f6d8f337ddf439682da4bd08dc7d662" style="width: 100.0%; height: 100.0%;">Cluster 2 Humber Summit</div>`)[0];
            popup_cd97e298345247559618a2254c2298cc.setContent(html_6f6d8f337ddf439682da4bd08dc7d662);
        

        circle_marker_ec87e61845f1483985f0868c9bb8c209.bindPopup(popup_cd97e298345247559618a2254c2298cc)
        ;

        
    
    
            var circle_marker_95d41685f4b74658999125fe16e6ac5b = L.circleMarker(
                [43.716316, -79.23947609999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_440559b2f43d448fabe5f68929c11b5b = L.popup({"maxWidth": "100%"});

        
            var html_02566dbb54a14110aee5d2395b180255 = $(`<div id="html_02566dbb54a14110aee5d2395b180255" style="width: 100.0%; height: 100.0%;">Cluster 2 Cliffside, Cliffcrest, Scarborough Village West</div>`)[0];
            popup_440559b2f43d448fabe5f68929c11b5b.setContent(html_02566dbb54a14110aee5d2395b180255);
        

        circle_marker_95d41685f4b74658999125fe16e6ac5b.bindPopup(popup_440559b2f43d448fabe5f68929c11b5b)
        ;

        
    
    
            var circle_marker_5f9e5762692a41d9bcf8ca77ad016424 = L.circleMarker(
                [43.7284964, -79.49569740000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_445b0de71d734e72bfb8f64c7fb4beed = L.popup({"maxWidth": "100%"});

        
            var html_e06846574b32419295225389f91b72b2 = $(`<div id="html_e06846574b32419295225389f91b72b2" style="width: 100.0%; height: 100.0%;">Cluster 2 Downsview</div>`)[0];
            popup_445b0de71d734e72bfb8f64c7fb4beed.setContent(html_e06846574b32419295225389f91b72b2);
        

        circle_marker_5f9e5762692a41d9bcf8ca77ad016424.bindPopup(popup_445b0de71d734e72bfb8f64c7fb4beed)
        ;

        
    
    
            var circle_marker_68979bacb7b441a0b3b6e4e10fd09c32 = L.circleMarker(
                [43.6595255, -79.340923],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_21f4a8db1d8a44b4a3899b1bc34c5b3e = L.popup({"maxWidth": "100%"});

        
            var html_ed88e581202546e9b62395b7156ee4f9 = $(`<div id="html_ed88e581202546e9b62395b7156ee4f9" style="width: 100.0%; height: 100.0%;">Cluster 2 Studio District</div>`)[0];
            popup_21f4a8db1d8a44b4a3899b1bc34c5b3e.setContent(html_ed88e581202546e9b62395b7156ee4f9);
        

        circle_marker_68979bacb7b441a0b3b6e4e10fd09c32.bindPopup(popup_21f4a8db1d8a44b4a3899b1bc34c5b3e)
        ;

        
    
    
            var circle_marker_f53b72a41c834e66b757e14b1beb43b7 = L.circleMarker(
                [43.7332825, -79.4197497],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_3dafae8c958d4079b2156120f24efb04 = L.popup({"maxWidth": "100%"});

        
            var html_c337c50cc42b44c09922b8a0fc9099aa = $(`<div id="html_c337c50cc42b44c09922b8a0fc9099aa" style="width: 100.0%; height: 100.0%;">Cluster 2 Bedford Park, Lawrence Manor East</div>`)[0];
            popup_3dafae8c958d4079b2156120f24efb04.setContent(html_c337c50cc42b44c09922b8a0fc9099aa);
        

        circle_marker_f53b72a41c834e66b757e14b1beb43b7.bindPopup(popup_3dafae8c958d4079b2156120f24efb04)
        ;

        
    
    
            var circle_marker_bf68a7d14ea24e5e84477e256c305ef5 = L.circleMarker(
                [43.6911158, -79.47601329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_f18f62303f814d01be634f2b691a30ab = L.popup({"maxWidth": "100%"});

        
            var html_b54656b4b56f4e4d9bc800396e9a3ec9 = $(`<div id="html_b54656b4b56f4e4d9bc800396e9a3ec9" style="width: 100.0%; height: 100.0%;">Cluster 2 Del Ray, Mount Dennis, Keelsdale and Silverthorn</div>`)[0];
            popup_f18f62303f814d01be634f2b691a30ab.setContent(html_b54656b4b56f4e4d9bc800396e9a3ec9);
        

        circle_marker_bf68a7d14ea24e5e84477e256c305ef5.bindPopup(popup_f18f62303f814d01be634f2b691a30ab)
        ;

        
    
    
            var circle_marker_7c2f4d7c958340e6b553edcb967a6b7a = L.circleMarker(
                [43.7247659, -79.53224240000002],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_f55c57c1f437479ea6253617e6bbee69 = L.popup({"maxWidth": "100%"});

        
            var html_085f682e5957483fa18bb2107b855833 = $(`<div id="html_085f682e5957483fa18bb2107b855833" style="width: 100.0%; height: 100.0%;">Cluster 2 Humberlea, Emery</div>`)[0];
            popup_f55c57c1f437479ea6253617e6bbee69.setContent(html_085f682e5957483fa18bb2107b855833);
        

        circle_marker_7c2f4d7c958340e6b553edcb967a6b7a.bindPopup(popup_f55c57c1f437479ea6253617e6bbee69)
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            var circle_marker_fb5547cdc19a490b9525106cdf069b73 = L.circleMarker(
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            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_c8db1399941940aa8eb8108789a7be87 = L.popup({"maxWidth": "100%"});

        
            var html_d2fd020c54d248bb874bb2aea18aae71 = $(`<div id="html_d2fd020c54d248bb874bb2aea18aae71" style="width: 100.0%; height: 100.0%;">Cluster 2 Birch Cliff, Cliffside West</div>`)[0];
            popup_c8db1399941940aa8eb8108789a7be87.setContent(html_d2fd020c54d248bb874bb2aea18aae71);
        

        circle_marker_fb5547cdc19a490b9525106cdf069b73.bindPopup(popup_c8db1399941940aa8eb8108789a7be87)
        ;

        
    
    
            var circle_marker_8967d523e864440facdf5626ceb3a61e = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_04ed99177aae43638912052628fc9213 = L.popup({"maxWidth": "100%"});

        
            var html_2bc75fba5436460e8d0efa5826886c50 = $(`<div id="html_2bc75fba5436460e8d0efa5826886c50" style="width: 100.0%; height: 100.0%;">Cluster 2 Willowdale, Willowdale East</div>`)[0];
            popup_04ed99177aae43638912052628fc9213.setContent(html_2bc75fba5436460e8d0efa5826886c50);
        

        circle_marker_8967d523e864440facdf5626ceb3a61e.bindPopup(popup_04ed99177aae43638912052628fc9213)
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            var circle_marker_1fc4f876d9624462bb0aba78555219e6 = L.circleMarker(
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            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_4ee6931290544dc992a5975a0ded54fa = L.popup({"maxWidth": "100%"});

        
            var html_59570102dd294936af6b790b4a0d5968 = $(`<div id="html_59570102dd294936af6b790b4a0d5968" style="width: 100.0%; height: 100.0%;">Cluster 2 Downsview</div>`)[0];
            popup_4ee6931290544dc992a5975a0ded54fa.setContent(html_59570102dd294936af6b790b4a0d5968);
        

        circle_marker_1fc4f876d9624462bb0aba78555219e6.bindPopup(popup_4ee6931290544dc992a5975a0ded54fa)
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            var circle_marker_09bce9cd4e6946458b5919f4a767a423 = L.circleMarker(
                [43.7280205, -79.3887901],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_5fe72c74c4854db9870092a9a56a06e3 = L.popup({"maxWidth": "100%"});

        
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            popup_5fe72c74c4854db9870092a9a56a06e3.setContent(html_e57d41e0bfd24029aa89cda6950acc2f);
        

        circle_marker_09bce9cd4e6946458b5919f4a767a423.bindPopup(popup_5fe72c74c4854db9870092a9a56a06e3)
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            var circle_marker_cb83118b12a0420b858da3647aa7180c = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_e8b5f5ea61d743bbbb1e795644c25a68 = L.popup({"maxWidth": "100%"});

        
            var html_ad57ffba3d35447ebfcb65253bbb8f9c = $(`<div id="html_ad57ffba3d35447ebfcb65253bbb8f9c" style="width: 100.0%; height: 100.0%;">Cluster 2 Roselawn</div>`)[0];
            popup_e8b5f5ea61d743bbbb1e795644c25a68.setContent(html_ad57ffba3d35447ebfcb65253bbb8f9c);
        

        circle_marker_cb83118b12a0420b858da3647aa7180c.bindPopup(popup_e8b5f5ea61d743bbbb1e795644c25a68)
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            var circle_marker_66a8bf8a137046159403418e5a12d4d3 = L.circleMarker(
                [43.67318529999999, -79.48726190000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_0f85087aaee24bd79b5b7835ade769e1 = L.popup({"maxWidth": "100%"});

        
            var html_64891ecaebba407b81a254f02548c8ea = $(`<div id="html_64891ecaebba407b81a254f02548c8ea" style="width: 100.0%; height: 100.0%;">Cluster 2 Runnymede, The Junction North</div>`)[0];
            popup_0f85087aaee24bd79b5b7835ade769e1.setContent(html_64891ecaebba407b81a254f02548c8ea);
        

        circle_marker_66a8bf8a137046159403418e5a12d4d3.bindPopup(popup_0f85087aaee24bd79b5b7835ade769e1)
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            var circle_marker_673bc4e271204324855cb2573fbf833e = L.circleMarker(
                [43.706876, -79.51818840000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_b8168ff10b46416aa1eb41105dc52b77 = L.popup({"maxWidth": "100%"});

        
            var html_0e0f4d9f806b4f18b21e0984bf417ef4 = $(`<div id="html_0e0f4d9f806b4f18b21e0984bf417ef4" style="width: 100.0%; height: 100.0%;">Cluster 1 Weston</div>`)[0];
            popup_b8168ff10b46416aa1eb41105dc52b77.setContent(html_0e0f4d9f806b4f18b21e0984bf417ef4);
        

        circle_marker_673bc4e271204324855cb2573fbf833e.bindPopup(popup_b8168ff10b46416aa1eb41105dc52b77)
        ;

        
    
    
            var circle_marker_db1327c4dcf649b98915e1e37d4d73a4 = L.circleMarker(
                [43.7574096, -79.27330400000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_21c6e3e01d04439d9dc5ad7f9bcd5884 = L.popup({"maxWidth": "100%"});

        
            var html_3e6399a84ff94d9186e1d2c24abe4094 = $(`<div id="html_3e6399a84ff94d9186e1d2c24abe4094" style="width: 100.0%; height: 100.0%;">Cluster 2 Dorset Park, Wexford Heights, Scarborough Town Centre</div>`)[0];
            popup_21c6e3e01d04439d9dc5ad7f9bcd5884.setContent(html_3e6399a84ff94d9186e1d2c24abe4094);
        

        circle_marker_db1327c4dcf649b98915e1e37d4d73a4.bindPopup(popup_21c6e3e01d04439d9dc5ad7f9bcd5884)
        ;

        
    
    
            var circle_marker_c77f69c212de4a37b783284d5a449da8 = L.circleMarker(
                [43.752758299999996, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_50b99bae9aa644e295307ec685251040 = L.popup({"maxWidth": "100%"});

        
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            popup_50b99bae9aa644e295307ec685251040.setContent(html_171d19950d764c7585f8f2311e4cb193);
        

        circle_marker_c77f69c212de4a37b783284d5a449da8.bindPopup(popup_50b99bae9aa644e295307ec685251040)
        ;

        
    
    
            var circle_marker_794acd98da7848e78abdfe48e88b7b9b = L.circleMarker(
                [43.7127511, -79.3901975],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_32a30206a6b94f119966133cbe588227 = L.popup({"maxWidth": "100%"});

        
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            popup_32a30206a6b94f119966133cbe588227.setContent(html_68ddefdff3da4460b69648fe28db0b07);
        

        circle_marker_794acd98da7848e78abdfe48e88b7b9b.bindPopup(popup_32a30206a6b94f119966133cbe588227)
        ;

        
    
    
            var circle_marker_26b105df0b534762bdcfd534e8b0f9d5 = L.circleMarker(
                [43.6969476, -79.41130720000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_ad93bafd6f194028a5c53f5400dca38e = L.popup({"maxWidth": "100%"});

        
            var html_cb6ac468d8154739b76e2b8c8c39e564 = $(`<div id="html_cb6ac468d8154739b76e2b8c8c39e564" style="width: 100.0%; height: 100.0%;">Cluster 2 Forest Hill North &amp; West, Forest Hill Road Park</div>`)[0];
            popup_ad93bafd6f194028a5c53f5400dca38e.setContent(html_cb6ac468d8154739b76e2b8c8c39e564);
        

        circle_marker_26b105df0b534762bdcfd534e8b0f9d5.bindPopup(popup_ad93bafd6f194028a5c53f5400dca38e)
        ;

        
    
    
            var circle_marker_11633f0bd48b4805a4dde67846476b81 = L.circleMarker(
                [43.6616083, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_d2ce71f6aa89469989e69f2dcd1da03a = L.popup({"maxWidth": "100%"});

        
            var html_3d8feeaf490a4bb89d7fd1c6ad4ccc7a = $(`<div id="html_3d8feeaf490a4bb89d7fd1c6ad4ccc7a" style="width: 100.0%; height: 100.0%;">Cluster 2 High Park, The Junction South</div>`)[0];
            popup_d2ce71f6aa89469989e69f2dcd1da03a.setContent(html_3d8feeaf490a4bb89d7fd1c6ad4ccc7a);
        

        circle_marker_11633f0bd48b4805a4dde67846476b81.bindPopup(popup_d2ce71f6aa89469989e69f2dcd1da03a)
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            var circle_marker_80d8be73de074469892ad959139ebc94 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_3cae041973aa45d9aae242551a342cee = L.popup({"maxWidth": "100%"});

        
            var html_43be43edf8134949889a868f488f9529 = $(`<div id="html_43be43edf8134949889a868f488f9529" style="width: 100.0%; height: 100.0%;">Cluster 2 Westmount</div>`)[0];
            popup_3cae041973aa45d9aae242551a342cee.setContent(html_43be43edf8134949889a868f488f9529);
        

        circle_marker_80d8be73de074469892ad959139ebc94.bindPopup(popup_3cae041973aa45d9aae242551a342cee)
        ;

        
    
    
            var circle_marker_4f65bc8c671c4fc6ade3fbd237945f99 = L.circleMarker(
                [43.750071500000004, -79.2958491],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_a9539f7a2f314a5082b01b9724137932 = L.popup({"maxWidth": "100%"});

        
            var html_db86fb2a33e142edb687a78aba055786 = $(`<div id="html_db86fb2a33e142edb687a78aba055786" style="width: 100.0%; height: 100.0%;">Cluster 2 Wexford, Maryvale</div>`)[0];
            popup_a9539f7a2f314a5082b01b9724137932.setContent(html_db86fb2a33e142edb687a78aba055786);
        

        circle_marker_4f65bc8c671c4fc6ade3fbd237945f99.bindPopup(popup_a9539f7a2f314a5082b01b9724137932)
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            var circle_marker_923230aa4bab44488de28940b483e758 = L.circleMarker(
                [43.7827364, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_5641bab27d514671a7e3bab75dfc9ebe = L.popup({"maxWidth": "100%"});

        
            var html_7865b8048b25471f8a64d7c18a25c7b5 = $(`<div id="html_7865b8048b25471f8a64d7c18a25c7b5" style="width: 100.0%; height: 100.0%;">Cluster 2 Willowdale, Willowdale West</div>`)[0];
            popup_5641bab27d514671a7e3bab75dfc9ebe.setContent(html_7865b8048b25471f8a64d7c18a25c7b5);
        

        circle_marker_923230aa4bab44488de28940b483e758.bindPopup(popup_5641bab27d514671a7e3bab75dfc9ebe)
        ;

        
    
    
            var circle_marker_bc371f9dd4f04a76a23a2bc372e0ed6e = L.circleMarker(
                [43.7153834, -79.40567840000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_0fdce6a7f84946b096ae1e516008efc7 = L.popup({"maxWidth": "100%"});

        
            var html_aa1f372eb55a4a38adccfd15e7cdd7e0 = $(`<div id="html_aa1f372eb55a4a38adccfd15e7cdd7e0" style="width: 100.0%; height: 100.0%;">Cluster 2 North Toronto West, Lawrence Park</div>`)[0];
            popup_0fdce6a7f84946b096ae1e516008efc7.setContent(html_aa1f372eb55a4a38adccfd15e7cdd7e0);
        

        circle_marker_bc371f9dd4f04a76a23a2bc372e0ed6e.bindPopup(popup_0fdce6a7f84946b096ae1e516008efc7)
        ;

        
    
    
            var circle_marker_49b0bc0db1704574923bce70ceb81f3c = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_32bcb25734494e21aab82b99cf25abb4 = L.popup({"maxWidth": "100%"});

        
            var html_b87426ad30eb4bff9d5079fdcc3a4abf = $(`<div id="html_b87426ad30eb4bff9d5079fdcc3a4abf" style="width: 100.0%; height: 100.0%;">Cluster 2 The Annex, North Midtown, Yorkville</div>`)[0];
            popup_32bcb25734494e21aab82b99cf25abb4.setContent(html_b87426ad30eb4bff9d5079fdcc3a4abf);
        

        circle_marker_49b0bc0db1704574923bce70ceb81f3c.bindPopup(popup_32bcb25734494e21aab82b99cf25abb4)
        ;

        
    
    
            var circle_marker_30f495d244474c8c89deed39e3c92141 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_01e38c3ccee74009be779104a68a7ac3 = L.popup({"maxWidth": "100%"});

        
            var html_8a82e9996f5d424fa1e662017897f340 = $(`<div id="html_8a82e9996f5d424fa1e662017897f340" style="width: 100.0%; height: 100.0%;">Cluster 2 Parkdale, Roncesvalles</div>`)[0];
            popup_01e38c3ccee74009be779104a68a7ac3.setContent(html_8a82e9996f5d424fa1e662017897f340);
        

        circle_marker_30f495d244474c8c89deed39e3c92141.bindPopup(popup_01e38c3ccee74009be779104a68a7ac3)
        ;

        
    
    
            var circle_marker_eba8bfef243f48809c6235c68845627c = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_f582f6366cf747f08cb6c6d40bdef502 = L.popup({"maxWidth": "100%"});

        
            var html_775a96af7d0546d8a9f1f7e3f7b8e647 = $(`<div id="html_775a96af7d0546d8a9f1f7e3f7b8e647" style="width: 100.0%; height: 100.0%;">Cluster 2 Canada Post Gateway Processing Centre</div>`)[0];
            popup_f582f6366cf747f08cb6c6d40bdef502.setContent(html_775a96af7d0546d8a9f1f7e3f7b8e647);
        

        circle_marker_eba8bfef243f48809c6235c68845627c.bindPopup(popup_f582f6366cf747f08cb6c6d40bdef502)
        ;

        
    
    
            var circle_marker_d23318f3375c452eb7543cb42ed8ce5a = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_7a17d5c7bfed4f4c980d21fe4a6d99db = L.popup({"maxWidth": "100%"});

        
            var html_71287d40783344d598424f78dac6756b = $(`<div id="html_71287d40783344d598424f78dac6756b" style="width: 100.0%; height: 100.0%;">Cluster 2 Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens</div>`)[0];
            popup_7a17d5c7bfed4f4c980d21fe4a6d99db.setContent(html_71287d40783344d598424f78dac6756b);
        

        circle_marker_d23318f3375c452eb7543cb42ed8ce5a.bindPopup(popup_7a17d5c7bfed4f4c980d21fe4a6d99db)
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            var circle_marker_2fbef7e1f22741988bae9a2e65325ff3 = L.circleMarker(
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        var popup_09f0edcfb0eb4649a77d75d547176a3b = L.popup({"maxWidth": "100%"});

        
            var html_af9cf3bfd439485cb939e33659d68d43 = $(`<div id="html_af9cf3bfd439485cb939e33659d68d43" style="width: 100.0%; height: 100.0%;">Cluster 2 Agincourt</div>`)[0];
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        circle_marker_2fbef7e1f22741988bae9a2e65325ff3.bindPopup(popup_09f0edcfb0eb4649a77d75d547176a3b)
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            var circle_marker_26a4fd21c0964914827caba9c853a0f0 = L.circleMarker(
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        var popup_6048e5d22f9c46a4bb44bc898af3b62c = L.popup({"maxWidth": "100%"});

        
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        circle_marker_26a4fd21c0964914827caba9c853a0f0.bindPopup(popup_6048e5d22f9c46a4bb44bc898af3b62c)
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            var circle_marker_2d12e073fc3d4eada06f6f00eb1f53f9 = L.circleMarker(
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        var popup_74474723fbd94a7c85799b29968555fa = L.popup({"maxWidth": "100%"});

        
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        circle_marker_2d12e073fc3d4eada06f6f00eb1f53f9.bindPopup(popup_74474723fbd94a7c85799b29968555fa)
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            var circle_marker_14dfa98c46264870955143e533d7bb3f = L.circleMarker(
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        circle_marker_14dfa98c46264870955143e533d7bb3f.bindPopup(popup_888d078fa7ce474abb2da121e7b62f07)
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            var circle_marker_6747d2b8979743378de08dd0de387713 = L.circleMarker(
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        var popup_29ac9092725f451c9c254610a8395a4f = L.popup({"maxWidth": "100%"});

        
            var html_848a547911784e92a787732f799701bf = $(`<div id="html_848a547911784e92a787732f799701bf" style="width: 100.0%; height: 100.0%;">Cluster 2 Clarks Corners, Tam O&#39;Shanter, Sullivan</div>`)[0];
            popup_29ac9092725f451c9c254610a8395a4f.setContent(html_848a547911784e92a787732f799701bf);
        

        circle_marker_6747d2b8979743378de08dd0de387713.bindPopup(popup_29ac9092725f451c9c254610a8395a4f)
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            var circle_marker_b08e735715604a5cb75d03a731f6f34b = L.circleMarker(
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        var popup_fbb48fa352db49e6980548ee56235b3d = L.popup({"maxWidth": "100%"});

        
            var html_2fb461b2a9ed40c5bdc2a5f2bbf6d0c8 = $(`<div id="html_2fb461b2a9ed40c5bdc2a5f2bbf6d0c8" style="width: 100.0%; height: 100.0%;">Cluster 2 Moore Park, Summerhill East</div>`)[0];
            popup_fbb48fa352db49e6980548ee56235b3d.setContent(html_2fb461b2a9ed40c5bdc2a5f2bbf6d0c8);
        

        circle_marker_b08e735715604a5cb75d03a731f6f34b.bindPopup(popup_fbb48fa352db49e6980548ee56235b3d)
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            var circle_marker_2b0a08cf039942078de0451e9d80da4f = L.circleMarker(
                [43.6532057, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_90fa21f0febd49c9bbaab00db05f2181 = L.popup({"maxWidth": "100%"});

        
            var html_f4c0ef0ae59141b0b0b6592f224308c4 = $(`<div id="html_f4c0ef0ae59141b0b0b6592f224308c4" style="width: 100.0%; height: 100.0%;">Cluster 2 Kensington Market, Chinatown, Grange Park</div>`)[0];
            popup_90fa21f0febd49c9bbaab00db05f2181.setContent(html_f4c0ef0ae59141b0b0b6592f224308c4);
        

        circle_marker_2b0a08cf039942078de0451e9d80da4f.bindPopup(popup_90fa21f0febd49c9bbaab00db05f2181)
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            var circle_marker_3b12b837be87442393ea7fcbf0f1a57e = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_5228ed2dd4f54adcbf506acf94c52ed0 = L.popup({"maxWidth": "100%"});

        
            var html_edd3590548704338ba7efa111a248b01 = $(`<div id="html_edd3590548704338ba7efa111a248b01" style="width: 100.0%; height: 100.0%;">Cluster 1 Milliken, Agincourt North, Steeles East, L&#39;Amoreaux East</div>`)[0];
            popup_5228ed2dd4f54adcbf506acf94c52ed0.setContent(html_edd3590548704338ba7efa111a248b01);
        

        circle_marker_3b12b837be87442393ea7fcbf0f1a57e.bindPopup(popup_5228ed2dd4f54adcbf506acf94c52ed0)
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            var circle_marker_5af27f6c98d44635b9aeb071bf234ffa = L.circleMarker(
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        var popup_1ac103688d9844f6b9758bb53c28ece5 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_5af27f6c98d44635b9aeb071bf234ffa.bindPopup(popup_1ac103688d9844f6b9758bb53c28ece5)
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            var circle_marker_36083a40aa4042188cd2ecb779362db3 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_00cb638120be4ba69982e8a99ecbf659 = L.popup({"maxWidth": "100%"});

        
            var html_24499cc2188a490dbb0bdbf3dc7778c9 = $(`<div id="html_24499cc2188a490dbb0bdbf3dc7778c9" style="width: 100.0%; height: 100.0%;">Cluster 2 CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport</div>`)[0];
            popup_00cb638120be4ba69982e8a99ecbf659.setContent(html_24499cc2188a490dbb0bdbf3dc7778c9);
        

        circle_marker_36083a40aa4042188cd2ecb779362db3.bindPopup(popup_00cb638120be4ba69982e8a99ecbf659)
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            var circle_marker_879cec6af4604245a54a629efb97519b = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_9dabba2df18a4348bb8cdf2b42a9e929 = L.popup({"maxWidth": "100%"});

        
            var html_9919874260a7437c8bb74ddf99781eaf = $(`<div id="html_9919874260a7437c8bb74ddf99781eaf" style="width: 100.0%; height: 100.0%;">Cluster 2 New Toronto, Mimico South, Humber Bay Shores</div>`)[0];
            popup_9dabba2df18a4348bb8cdf2b42a9e929.setContent(html_9919874260a7437c8bb74ddf99781eaf);
        

        circle_marker_879cec6af4604245a54a629efb97519b.bindPopup(popup_9dabba2df18a4348bb8cdf2b42a9e929)
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        var popup_94c52af615824d13b2376c90383843a1 = L.popup({"maxWidth": "100%"});

        
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            popup_94c52af615824d13b2376c90383843a1.setContent(html_10ebe13c2bbb4186a0f9ac70c623fb5f);
        

        circle_marker_1fdbfdca3ac34d12819be4fb0f95cf04.bindPopup(popup_94c52af615824d13b2376c90383843a1)
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            var circle_marker_90c6ac09f9ba4c5aabc6382b5130f050 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_9d1d0b9aa96a4da1af145e90ea6c561e = L.popup({"maxWidth": "100%"});

        
            var html_75a3802a7dcb4c3fa5d535b264d50fb8 = $(`<div id="html_75a3802a7dcb4c3fa5d535b264d50fb8" style="width: 100.0%; height: 100.0%;">Cluster 2 Steeles West, L&#39;Amoreaux West</div>`)[0];
            popup_9d1d0b9aa96a4da1af145e90ea6c561e.setContent(html_75a3802a7dcb4c3fa5d535b264d50fb8);
        

        circle_marker_90c6ac09f9ba4c5aabc6382b5130f050.bindPopup(popup_9d1d0b9aa96a4da1af145e90ea6c561e)
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            var circle_marker_d9146805b2624ec880cd2a56078c878a = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_b87d2e7bf24d4f6fbfb95d6af955a23e = L.popup({"maxWidth": "100%"});

        
            var html_a4a1cfaf829a4ad2a8544cc08e89757d = $(`<div id="html_a4a1cfaf829a4ad2a8544cc08e89757d" style="width: 100.0%; height: 100.0%;">Cluster 1 Rosedale</div>`)[0];
            popup_b87d2e7bf24d4f6fbfb95d6af955a23e.setContent(html_a4a1cfaf829a4ad2a8544cc08e89757d);
        

        circle_marker_d9146805b2624ec880cd2a56078c878a.bindPopup(popup_b87d2e7bf24d4f6fbfb95d6af955a23e)
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            var circle_marker_e26a9264dfdd4e929dce1d3109adb6f5 = L.circleMarker(
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            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
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            var html_619613bab14c4c7099cf33bad3eff60d = $(`<div id="html_619613bab14c4c7099cf33bad3eff60d" style="width: 100.0%; height: 100.0%;">Cluster 2 Stn A PO Boxes</div>`)[0];
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        circle_marker_e26a9264dfdd4e929dce1d3109adb6f5.bindPopup(popup_7a380c0ca7ed42c182019ce8a91c4849)
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            var circle_marker_9c6d97a9b58c49758a70eac3af510ec5 = L.circleMarker(
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            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_8ae2fa7fed6044b49934eb1882fbc7d3 = L.popup({"maxWidth": "100%"});

        
            var html_067e48bedc5248e6a65c4f47ec16319d = $(`<div id="html_067e48bedc5248e6a65c4f47ec16319d" style="width: 100.0%; height: 100.0%;">Cluster 2 Alderwood, Long Branch</div>`)[0];
            popup_8ae2fa7fed6044b49934eb1882fbc7d3.setContent(html_067e48bedc5248e6a65c4f47ec16319d);
        

        circle_marker_9c6d97a9b58c49758a70eac3af510ec5.bindPopup(popup_8ae2fa7fed6044b49934eb1882fbc7d3)
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            var circle_marker_87243017b7f244408b317d64ba57ce49 = L.circleMarker(
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        var popup_4f95b6d867824595b0fc96ae4740053f = L.popup({"maxWidth": "100%"});

        
            var html_339ad758739a4b65a0179e5674b1fa6f = $(`<div id="html_339ad758739a4b65a0179e5674b1fa6f" style="width: 100.0%; height: 100.0%;">Cluster 2 Northwest, West Humber - Clairville</div>`)[0];
            popup_4f95b6d867824595b0fc96ae4740053f.setContent(html_339ad758739a4b65a0179e5674b1fa6f);
        

        circle_marker_87243017b7f244408b317d64ba57ce49.bindPopup(popup_4f95b6d867824595b0fc96ae4740053f)
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            var circle_marker_56dd3e2e3bc5449eb74f8e0fdc4681f1 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_bc56e2417da4439081fab879ec216061 = L.popup({"maxWidth": "100%"});

        
            var html_595e408fb022485f94791eda44cc546c = $(`<div id="html_595e408fb022485f94791eda44cc546c" style="width: 100.0%; height: 100.0%;">Cluster 2 St. James Town, Cabbagetown</div>`)[0];
            popup_bc56e2417da4439081fab879ec216061.setContent(html_595e408fb022485f94791eda44cc546c);
        

        circle_marker_56dd3e2e3bc5449eb74f8e0fdc4681f1.bindPopup(popup_bc56e2417da4439081fab879ec216061)
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            var circle_marker_72facdf7aec74e2ea9bd7b3a85a12c0b = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_49babf0ea8244d34815281be3368104d = L.popup({"maxWidth": "100%"});

        
            var html_2b43c9ef0522471092cf296d81d49cec = $(`<div id="html_2b43c9ef0522471092cf296d81d49cec" style="width: 100.0%; height: 100.0%;">Cluster 2 First Canadian Place, Underground city</div>`)[0];
            popup_49babf0ea8244d34815281be3368104d.setContent(html_2b43c9ef0522471092cf296d81d49cec);
        

        circle_marker_72facdf7aec74e2ea9bd7b3a85a12c0b.bindPopup(popup_49babf0ea8244d34815281be3368104d)
        ;

        
    
    
            var circle_marker_f73993295c2a4b439e87d450dbcb2383 = L.circleMarker(
                [43.653653600000005, -79.5069436],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_8dd4e20e5ad741c0a0a78d5d5018bfb5 = L.popup({"maxWidth": "100%"});

        
            var html_4426c3358a924f0497d5feb64f59f392 = $(`<div id="html_4426c3358a924f0497d5feb64f59f392" style="width: 100.0%; height: 100.0%;">Cluster 2 The Kingsway, Montgomery Road, Old Mill North</div>`)[0];
            popup_8dd4e20e5ad741c0a0a78d5d5018bfb5.setContent(html_4426c3358a924f0497d5feb64f59f392);
        

        circle_marker_f73993295c2a4b439e87d450dbcb2383.bindPopup(popup_8dd4e20e5ad741c0a0a78d5d5018bfb5)
        ;

        
    
    
            var circle_marker_ac0b06a3ae58468fac03fbeb82b8019c = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_0538dc8558804deea368fd96793fbfb2 = L.popup({"maxWidth": "100%"});

        
            var html_6f70d40c773b40ce875f3a1dc31e22c4 = $(`<div id="html_6f70d40c773b40ce875f3a1dc31e22c4" style="width: 100.0%; height: 100.0%;">Cluster 2 Church and Wellesley</div>`)[0];
            popup_0538dc8558804deea368fd96793fbfb2.setContent(html_6f70d40c773b40ce875f3a1dc31e22c4);
        

        circle_marker_ac0b06a3ae58468fac03fbeb82b8019c.bindPopup(popup_0538dc8558804deea368fd96793fbfb2)
        ;

        
    
    
            var circle_marker_98dcba9eb1384129b8aec19f036faecd = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_a1f87a19e41a48a09e4617ac9ee0fa83 = L.popup({"maxWidth": "100%"});

        
            var html_0f24abc0ea0f4c9cb052bc118496ad40 = $(`<div id="html_0f24abc0ea0f4c9cb052bc118496ad40" style="width: 100.0%; height: 100.0%;">Cluster 2 Business reply mail Processing Centre, South Central Letter Processing Plant Toronto</div>`)[0];
            popup_a1f87a19e41a48a09e4617ac9ee0fa83.setContent(html_0f24abc0ea0f4c9cb052bc118496ad40);
        

        circle_marker_98dcba9eb1384129b8aec19f036faecd.bindPopup(popup_a1f87a19e41a48a09e4617ac9ee0fa83)
        ;

        
    
    
            var circle_marker_1dd24e67058b444683799b819fc95bf9 = L.circleMarker(
                [43.6362579, -79.49850909999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_59198c80c9144e8fb41941221fd78685 = L.popup({"maxWidth": "100%"});

        
            var html_7f1ae735a39447119c756a7606219840 = $(`<div id="html_7f1ae735a39447119c756a7606219840" style="width: 100.0%; height: 100.0%;">Cluster 2 Old Mill South, King&#39;s Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East</div>`)[0];
            popup_59198c80c9144e8fb41941221fd78685.setContent(html_7f1ae735a39447119c756a7606219840);
        

        circle_marker_1dd24e67058b444683799b819fc95bf9.bindPopup(popup_59198c80c9144e8fb41941221fd78685)
        ;

        
    
    
            var circle_marker_b2865dc57e4b4ad6bdabaa1727f9c2e9 = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_2921bb266eeb4a2b9d1136471b644d64);
        
    
        var popup_4e275ab42cd7483bbafee47b9e4e0d8a = L.popup({"maxWidth": "100%"});

        
            var html_b666a8b0ac2a4eafa8ceb8c531dc6c84 = $(`<div id="html_b666a8b0ac2a4eafa8ceb8c531dc6c84" style="width: 100.0%; height: 100.0%;">Cluster 2 Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West</div>`)[0];
            popup_4e275ab42cd7483bbafee47b9e4e0d8a.setContent(html_b666a8b0ac2a4eafa8ceb8c531dc6c84);
        

        circle_marker_b2865dc57e4b4ad6bdabaa1727f9c2e9.bindPopup(popup_4e275ab42cd7483bbafee47b9e4e0d8a)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>",
                        "text/plain": "<folium.folium.Map at 0x7f457d0ab150>"
                    },
                    "execution_count": 46,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n\n# set color scheme for the clusters\nx = np.arange(k_num_clusters)\nys = [i + x + (i*x)**2 for i in range(k_num_clusters)]\ncolors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\nrainbow = [colors.rgb2hex(i) for i in colors_array]\n\n# add markers to the map\nmarkers_colors = []\nfor lat, lon, poi, cluster in zip(toronto_merged_nonan['Latitude'], toronto_merged_nonan['Longitude'], toronto_merged_nonan['Neighbourhood'], toronto_merged_nonan['Cluster Labels']):\n    label = folium.Popup('Cluster ' + str(int(cluster) +1) + '\\n' + str(poi) , parse_html=True)\n    folium.CircleMarker(\n        [lat, lon],\n        radius=5,\n        popup=label,\n        color=rainbow[int(cluster-1)],\n        fill=True,\n        fill_color=rainbow[int(cluster-1)]\n        ).add_to(map_clusters)\n        \nmap_clusters"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "CLUSER WISE VERIFICATION"
        },
        {
            "cell_type": "code",
            "execution_count": 48,
            "metadata": {},
            "outputs": [
                {
                    "ename": "SyntaxError",
                    "evalue": "invalid syntax (<ipython-input-48-4ead42b77c1e>, line 1)",
                    "output_type": "error",
                    "traceback": [
                        "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-48-4ead42b77c1e>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    CLUSTER 1\u001b[0m\n\u001b[0m            ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
                    ]
                }
            ],
            "source": "CLUSTER 1"
        },
        {
            "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>Borough</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>North York</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>York</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Women's Store</td>\n      <td>Pool</td>\n      <td>Yoga Studio</td>\n      <td>Department Store</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>East York</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Convenience Store</td>\n      <td>Intersection</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>North York</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Bakery</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>61</th>\n      <td>Central Toronto</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Swim School</td>\n      <td>Bus Line</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>64</th>\n      <td>York</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Yoga Studio</td>\n      <td>Department Store</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n    </tr>\n    <tr>\n      <th>66</th>\n      <td>North York</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Convenience Store</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>85</th>\n      <td>Scarborough</td>\n      <td>0.0</td>\n      <td>Playground</td>\n      <td>Park</td>\n      <td>Bakery</td>\n      <td>Yoga Studio</td>\n      <td>Department Store</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>91</th>\n      <td>Downtown Toronto</td>\n      <td>0.0</td>\n      <td>Park</td>\n      <td>Trail</td>\n      <td>Playground</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Distribution Center</td>\n      <td>Donut Shop</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "             Borough  Cluster Labels 1st Most Common Venue  \\\n0         North York             0.0                  Park   \n21              York             0.0                  Park   \n35         East York             0.0                  Park   \n49        North York             0.0                  Park   \n61   Central Toronto             0.0                  Park   \n64              York             0.0                  Park   \n66        North York             0.0                  Park   \n85       Scarborough             0.0            Playground   \n91  Downtown Toronto             0.0                  Park   \n\n         2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n0            Food & Drink Shop           Yoga Studio          Dessert Shop   \n21               Women's Store                  Pool           Yoga Studio   \n35           Convenience Store          Intersection           Yoga Studio   \n49  Construction & Landscaping                Bakery           Yoga Studio   \n61                 Swim School              Bus Line           Yoga Studio   \n64                 Yoga Studio      Department Store           Escape Room   \n66           Convenience Store           Yoga Studio          Dessert Shop   \n85                        Park                Bakery           Yoga Studio   \n91                       Trail            Playground           Yoga Studio   \n\n   5th Most Common Venue        6th Most Common Venue  \\\n0            Escape Room            Electronics Store   \n21      Department Store            Electronics Store   \n35          Dessert Shop                  Escape Room   \n49          Dessert Shop                  Escape Room   \n61          Dessert Shop            Electronics Store   \n64     Electronics Store  Eastern European Restaurant   \n66           Escape Room            Electronics Store   \n85      Department Store            Electronics Store   \n91          Dessert Shop           Dim Sum Restaurant   \n\n          7th Most Common Venue        8th Most Common Venue  \\\n0   Eastern European Restaurant          Dumpling Restaurant   \n21  Eastern European Restaurant          Dumpling Restaurant   \n35            Electronics Store  Eastern European Restaurant   \n49            Electronics Store  Eastern European Restaurant   \n61  Eastern European Restaurant          Dumpling Restaurant   \n64          Dumpling Restaurant                    Drugstore   \n66  Eastern European Restaurant          Dumpling Restaurant   \n85  Eastern European Restaurant          Dumpling Restaurant   \n91                        Diner               Discount Store   \n\n   9th Most Common Venue 10th Most Common Venue  \n0              Drugstore             Donut Shop  \n21             Drugstore             Donut Shop  \n35   Dumpling Restaurant              Drugstore  \n49   Dumpling Restaurant              Drugstore  \n61             Drugstore             Donut Shop  \n64            Donut Shop                Dog Run  \n66             Drugstore             Donut Shop  \n85             Drugstore             Donut Shop  \n91   Distribution Center             Donut Shop  "
                    },
                    "execution_count": 47,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_merged_nonan.loc[toronto_merged_nonan['Cluster Labels'] == 0, toronto_merged_nonan.columns[[1] + list(range(5, toronto_merged_nonan.shape[1]))]]"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "CLUSTER 2"
        },
        {
            "cell_type": "code",
            "execution_count": 49,
            "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>Borough</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Pizza Place</td>\n      <td>Coffee Shop</td>\n      <td>Hockey Arena</td>\n      <td>Portuguese Restaurant</td>\n      <td>Intersection</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n      <td>Dumpling Restaurant</td>\n      <td>Deli / Bodega</td>\n      <td>Distribution Center</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Downtown Toronto</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Park</td>\n      <td>Bakery</td>\n      <td>Breakfast Spot</td>\n      <td>Theater</td>\n      <td>Chocolate Shop</td>\n      <td>Distribution Center</td>\n      <td>Spa</td>\n      <td>Farmers Market</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Clothing Store</td>\n      <td>Accessories Store</td>\n      <td>Boutique</td>\n      <td>Gift Shop</td>\n      <td>Furniture / Home Store</td>\n      <td>Event Space</td>\n      <td>Coffee Shop</td>\n      <td>Women's Store</td>\n      <td>Vietnamese Restaurant</td>\n      <td>Airport Terminal</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Downtown Toronto</td>\n      <td>1.0</td>\n      <td>Coffee Shop</td>\n      <td>Yoga Studio</td>\n      <td>Diner</td>\n      <td>Sandwich Place</td>\n      <td>Portuguese Restaurant</td>\n      <td>Park</td>\n      <td>Mexican Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Hobby Shop</td>\n      <td>Fried Chicken Joint</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>North York</td>\n      <td>1.0</td>\n      <td>Gym</td>\n      <td>Beer Store</td>\n      <td>Coffee Shop</td>\n      <td>Japanese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Supermarket</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Restaurant</td>\n      <td>Caribbean Restaurant</td>\n      <td>Discount Store</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      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>Etobicoke</td>\n      <td>1.0</td>\n      <td>Pool</td>\n      <td>River</td>\n      <td>Yoga Studio</td>\n      <td>Deli / Bodega</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>Downtown Toronto</td>\n      <td>1.0</td>\n      <td>Gay Bar</td>\n      <td>Coffee Shop</td>\n      <td>Diner</td>\n      <td>Beer Bar</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Escape Room</td>\n      <td>Juice Bar</td>\n      <td>Breakfast Spot</td>\n      <td>Bubble Tea Shop</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>100</th>\n      <td>East Toronto</td>\n      <td>1.0</td>\n      <td>Light Rail Station</td>\n      <td>Auto Workshop</td>\n      <td>Comic Shop</td>\n      <td>Pizza Place</td>\n      <td>Recording Studio</td>\n      <td>Restaurant</td>\n      <td>Butcher</td>\n      <td>Burrito Place</td>\n      <td>Skate Park</td>\n      <td>Brewery</td>\n    </tr>\n    <tr>\n      <th>101</th>\n      <td>Etobicoke</td>\n      <td>1.0</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Baseball Field</td>\n      <td>Yoga Studio</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>102</th>\n      <td>Etobicoke</td>\n      <td>1.0</td>\n      <td>Gym</td>\n      <td>Thrift / Vintage Store</td>\n      <td>Convenience Store</td>\n      <td>Discount Store</td>\n      <td>Burrito Place</td>\n      <td>Burger Joint</td>\n      <td>Sandwich Place</td>\n      <td>Social Club</td>\n      <td>Fast Food Restaurant</td>\n      <td>Bakery</td>\n    </tr>\n  </tbody>\n</table>\n<p>88 rows \u00d7 12 columns</p>\n</div>",
                        "text/plain": "              Borough  Cluster Labels       1st Most Common Venue  \\\n1          North York             1.0                 Pizza Place   \n2    Downtown Toronto             1.0                 Coffee Shop   \n3          North York             1.0              Clothing Store   \n4    Downtown Toronto             1.0                 Coffee Shop   \n7          North York             1.0                         Gym   \n..                ...             ...                         ...   \n98          Etobicoke             1.0                        Pool   \n99   Downtown Toronto             1.0                     Gay Bar   \n100      East Toronto             1.0          Light Rail Station   \n101         Etobicoke             1.0  Construction & Landscaping   \n102         Etobicoke             1.0                         Gym   \n\n      2nd Most Common Venue 3rd Most Common Venue  4th Most Common Venue  \\\n1               Coffee Shop          Hockey Arena  Portuguese Restaurant   \n2                      Park                Bakery         Breakfast Spot   \n3         Accessories Store              Boutique              Gift Shop   \n4               Yoga Studio                 Diner         Sandwich Place   \n7                Beer Store           Coffee Shop    Japanese Restaurant   \n..                      ...                   ...                    ...   \n98                    River           Yoga Studio          Deli / Bodega   \n99              Coffee Shop                 Diner               Beer Bar   \n100           Auto Workshop            Comic Shop            Pizza Place   \n101          Baseball Field           Yoga Studio     Dim Sum Restaurant   \n102  Thrift / Vintage Store     Convenience Store         Discount Store   \n\n      5th Most Common Venue        6th Most Common Venue  \\\n1              Intersection                    Drugstore   \n2                   Theater               Chocolate Shop   \n3    Furniture / Home Store                  Event Space   \n4     Portuguese Restaurant                         Park   \n7                      Caf\u00e9                  Supermarket   \n..                      ...                          ...   \n98        Electronics Store  Eastern European Restaurant   \n99     Ethiopian Restaurant                  Escape Room   \n100        Recording Studio                   Restaurant   \n101    Ethiopian Restaurant                  Escape Room   \n102           Burrito Place                 Burger Joint   \n\n    7th Most Common Venue        8th Most Common Venue  9th Most Common Venue  \\\n1              Donut Shop          Dumpling Restaurant          Deli / Bodega   \n2     Distribution Center                          Spa         Farmers Market   \n3             Coffee Shop                Women's Store  Vietnamese Restaurant   \n4      Mexican Restaurant           Italian Restaurant             Hobby Shop   \n7      Dim Sum Restaurant                   Restaurant   Caribbean Restaurant   \n..                    ...                          ...                    ...   \n98    Dumpling Restaurant                    Drugstore             Donut Shop   \n99              Juice Bar               Breakfast Spot        Bubble Tea Shop   \n100               Butcher                Burrito Place             Skate Park   \n101     Electronics Store  Eastern European Restaurant    Dumpling Restaurant   \n102        Sandwich Place                  Social Club   Fast Food Restaurant   \n\n    10th Most Common Venue  \n1      Distribution Center  \n2             Dessert Shop  \n3         Airport Terminal  \n4      Fried Chicken Joint  \n7           Discount Store  \n..                     ...  \n98                 Dog Run  \n99            Burger Joint  \n100                Brewery  \n101              Drugstore  \n102                 Bakery  \n\n[88 rows x 12 columns]"
                    },
                    "execution_count": 49,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_merged_nonan.loc[toronto_merged_nonan['Cluster Labels'] == 1, toronto_merged_nonan.columns[[1] + list(range(5, toronto_merged_nonan.shape[1]))]]"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "CLUSTER 3"
        },
        {
            "cell_type": "code",
            "execution_count": 51,
            "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>Borough</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>45</th>\n      <td>North York</td>\n      <td>2.0</td>\n      <td>Martial Arts School</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n45  North York             2.0   Martial Arts School           Yoga Studio   \n\n   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n45          Dessert Shop           Escape Room     Electronics Store   \n\n          6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n45  Eastern European Restaurant   Dumpling Restaurant             Drugstore   \n\n   9th Most Common Venue 10th Most Common Venue  \n45            Donut Shop                Dog Run  "
                    },
                    "execution_count": 51,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_merged_nonan.loc[toronto_merged_nonan['Cluster Labels'] == 2, toronto_merged_nonan.columns[[1] + list(range(5, toronto_merged_nonan.shape[1]))]]"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "CLUSTER 4"
        },
        {
            "cell_type": "code",
            "execution_count": 53,
            "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>Borough</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>11</th>\n      <td>Etobicoke</td>\n      <td>3.0</td>\n      <td>Print Shop</td>\n      <td>Yoga Studio</td>\n      <td>Department Store</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "      Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n11  Etobicoke             3.0            Print Shop           Yoga Studio   \n\n   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n11      Department Store           Escape Room     Electronics Store   \n\n          6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n11  Eastern European Restaurant   Dumpling Restaurant             Drugstore   \n\n   9th Most Common Venue 10th Most Common Venue  \n11            Donut Shop                Dog Run  "
                    },
                    "execution_count": 53,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_merged_nonan.loc[toronto_merged_nonan['Cluster Labels'] == 3, toronto_merged_nonan.columns[[1] + list(range(5, toronto_merged_nonan.shape[1]))]]"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "CLUSTER 5"
        },
        {
            "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>Borough</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>6</th>\n      <td>Scarborough</td>\n      <td>4.0</td>\n      <td>Fast Food Restaurant</td>\n      <td>Yoga Studio</td>\n      <td>Event Space</td>\n      <td>Escape Room</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Drugstore</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n6  Scarborough             4.0  Fast Food Restaurant           Yoga Studio   \n\n  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n6           Event Space           Escape Room     Electronics Store   \n\n         6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n6  Eastern European Restaurant   Dumpling Restaurant             Drugstore   \n\n  9th Most Common Venue 10th Most Common Venue  \n6            Donut Shop                Dog Run  "
                    },
                    "execution_count": 54,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_merged_nonan.loc[toronto_merged_nonan['Cluster Labels'] == 4, toronto_merged_nonan.columns[[1] + list(range(5, toronto_merged_nonan.shape[1]))]]"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "WE HAVE CLUSTER TORONTO BASED ON VENUE CATEGORIES"
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": ""
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.7",
            "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": "3.7.9"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 1
}