Segmenting and Clustering Neighborhoods in Toronto copy 2.ipynb

{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# The answer is in section \"QUESTION 3\""
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "#### Web scraping from Wikipedia"
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": "# import the library we use to open URLs\nimport urllib.request"
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": "url = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\""
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [],
            "source": "# open the url using urllib.request and put the HTML into the page variable\npage = urllib.request.urlopen(url)"
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [],
            "source": "# import the BeautifulSoup library so we can parse HTML and XML documents\nfrom bs4 import BeautifulSoup"
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [],
            "source": "# parse the HTML from our URL into the BeautifulSoup parse tree format\nsoup = BeautifulSoup(page, \"lxml\")"
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [],
            "source": "# use the 'find_all' function to bring back all instances of the 'table' tag in the HTML and store in 'all_tables' variable\nall_tables=soup.find_all(\"table\")"
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {
                "scrolled": false
            },
            "outputs": [],
            "source": "# the table we are searching for is the 'wikitable sortable'. Let's find it\nright_table=soup.find('table', class_='wikitable sortable')\n#right_table"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "#### Create the Dataframe\n\nLet's start looping through the rows to get the data for every borough in the table.\n\nThere are three columns in our table that we want to scrape the data from to store our data in.\n\nLet's use the Beautiful Soup \u2018find_all\u2019 function again and set it to look for the string \u2018tr\u2019. Then let's set up a FOR loop for each row within that array and set Python to loop through the rows, one by one.\n\nWithin the loop I'm going to use use find_all again to search each row for <td> tags with the \u2018td\u2019 string. I'll add all of these to a variable called \u2018cells\u2019 and then check to make sure that there are 3 items in our \u2018cells\u2019 array.\n\nIf there are then we use the find(text=True)) option to extract the content string from within each <td> element in that row and add them to the A-C lists we created at the start of this step. Let\u2019s have a look at the code:"
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [],
            "source": "A=[]\nB=[]\nC=[]\n\nfor row in right_table.findAll('tr'):\n    cells=row.findAll('td')\n    if len(cells)==3:\n        A.append(cells[0].find(text=True))\n        B.append(cells[1].find(text=True))\n        C.append(cells[2].find(text=True))"
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [],
            "source": "import pandas as pd\ndf=pd.DataFrame(A,columns=['Postal Code'])\ndf['Borough']=B\ndf['Neighborhood']=C"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Cleaning the Dataframe"
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {},
            "outputs": [],
            "source": "# Ignore cells with a borough that is Not assigned.\nnew_df = df[~df.Borough.str.contains(\"Not assigned\") == True]"
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [],
            "source": "new_df = new_df.reset_index(drop=True)"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Second question"
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Libraries imported.\n"
                }
            ],
            "source": "import numpy as np # library to handle data in a vectorized manner\n\nimport pandas as pd # library for data analsysis\npd.set_option('display.max_columns', None)\npd.set_option('display.max_rows', None)\n\nimport json # library to handle JSON files\n\nimport requests # library to handle requests\nfrom pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n\n# Matplotlib and associated plotting modules\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n\n# import k-means from clustering stage\nfrom sklearn.cluster import KMeans\n\nprint('Libraries imported.')"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "#### Let's download the csv file with our lat and long data"
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [],
            "source": "csv_path = 'http://cocl.us/Geospatial_data'\n\ntor_df = pd.read_csv(csv_path)"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Let's merge new_df (with Borough and Neighborhood) with tor_df (with Lat and Long)"
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [],
            "source": "result = pd.concat([new_df, tor_df], axis = 1, sort=False)\n\n#this line of code will drop duplicate column -to avoid the NaN problem-\nresult = result.loc[:,~result.columns.duplicated()]"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "# QUESTION 3"
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
                }
            ],
            "source": "from geopy.geocoders import Nominatim\n\naddress = 'Toronto'\n\ngeolocator = Nominatim(user_agent=\"to_explorer\")\nlocation = geolocator.geocode(address)\nlatitude = location.latitude\nlongitude = location.longitude\nprint('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [],
            "source": "#!conda install -c conda-forge folium=0.5.0 --yes\nimport folium # map rendering library"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "## Let's create a df with all the borough that contain the word Toronto"
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {
                "scrolled": true
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.763573</td>\n      <td>-79.188711</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n      <td>43.773136</td>\n      <td>-79.239476</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Garden District, Ryerson</td>\n      <td>43.692657</td>\n      <td>-79.264848</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M5C</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town</td>\n      <td>43.799525</td>\n      <td>-79.318389</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5E</td>\n      <td>Downtown Toronto</td>\n      <td>Berczy Park</td>\n      <td>43.757490</td>\n      <td>-79.374714</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M5G</td>\n      <td>Downtown Toronto</td>\n      <td>Central Bay Street</td>\n      <td>43.782736</td>\n      <td>-79.442259</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M6G</td>\n      <td>Downtown Toronto</td>\n      <td>Christie</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M5H</td>\n      <td>Downtown Toronto</td>\n      <td>Richmond, Adelaide, King</td>\n      <td>43.737473</td>\n      <td>-79.464763</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M5J</td>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront East, Union Station, Toronto Isla...</td>\n      <td>43.695344</td>\n      <td>-79.318389</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M5K</td>\n      <td>Downtown Toronto</td>\n      <td>Toronto Dominion Centre, Design Exchange</td>\n      <td>43.668999</td>\n      <td>-79.315572</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M5L</td>\n      <td>Downtown Toronto</td>\n      <td>Commerce Court, Victoria Hotel</td>\n      <td>43.689574</td>\n      <td>-79.383160</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M5S</td>\n      <td>Downtown Toronto</td>\n      <td>University of Toronto, Harbord</td>\n      <td>43.691116</td>\n      <td>-79.476013</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M5T</td>\n      <td>Downtown Toronto</td>\n      <td>Kensington Market, Chinatown, Grange Park</td>\n      <td>43.651571</td>\n      <td>-79.484450</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M5V</td>\n      <td>Downtown Toronto</td>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>43.662744</td>\n      <td>-79.321558</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M4W</td>\n      <td>Downtown Toronto</td>\n      <td>Rosedale</td>\n      <td>43.636258</td>\n      <td>-79.498509</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M5W</td>\n      <td>Downtown Toronto</td>\n      <td>Stn A PO Boxes</td>\n      <td>43.628841</td>\n      <td>-79.520999</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M4X</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town, Cabbagetown</td>\n      <td>43.756303</td>\n      <td>-79.565963</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>M5X</td>\n      <td>Downtown Toronto</td>\n      <td>First Canadian Place, Underground city</td>\n      <td>43.724766</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n      <td>43.696319</td>\n      <td>-79.532242</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>M6H</td>\n      <td>West Toronto</td>\n      <td>Dufferin, Dovercourt Village</td>\n      <td>43.739015</td>\n      <td>-79.506944</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>M6J</td>\n      <td>West Toronto</td>\n      <td>Little Portugal, Trinity</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>M6K</td>\n      <td>West Toronto</td>\n      <td>Brockton, Parkdale Village, Exhibition Place</td>\n      <td>43.659526</td>\n      <td>-79.340923</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>M6P</td>\n      <td>West Toronto</td>\n      <td>High Park, The Junction South</td>\n      <td>43.646435</td>\n      <td>-79.374846</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>M6R</td>\n      <td>West Toronto</td>\n      <td>Parkdale, Roncesvalles</td>\n      <td>43.669542</td>\n      <td>-79.422564</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>M6S</td>\n      <td>West Toronto</td>\n      <td>Runnymede, Swansea</td>\n      <td>43.673185</td>\n      <td>-79.487262</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.786947</td>\n      <td>-79.385975</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>M4K</td>\n      <td>East Toronto</td>\n      <td>The Danforth West, Riverdale</td>\n      <td>43.679557</td>\n      <td>-79.352188</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>M4L</td>\n      <td>East Toronto</td>\n      <td>India Bazaar, The Beaches West</td>\n      <td>43.704324</td>\n      <td>-79.388790</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>M4M</td>\n      <td>East Toronto</td>\n      <td>Studio District</td>\n      <td>43.657162</td>\n      <td>-79.378937</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>M7Y</td>\n      <td>East Toronto</td>\n      <td>Business reply mail Processing Centre, South C...</td>\n      <td>43.688905</td>\n      <td>-79.554724</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>M4N</td>\n      <td>Central Toronto</td>\n      <td>Lawrence Park</td>\n      <td>43.648198</td>\n      <td>-79.379817</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>M5N</td>\n      <td>Central Toronto</td>\n      <td>Roselawn</td>\n      <td>43.733283</td>\n      <td>-79.419750</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>M4P</td>\n      <td>Central Toronto</td>\n      <td>Davisville North</td>\n      <td>43.653206</td>\n      <td>-79.400049</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>M5P</td>\n      <td>Central Toronto</td>\n      <td>Forest Hill North &amp; West, Forest Hill Road Park</td>\n      <td>43.628947</td>\n      <td>-79.394420</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>M4R</td>\n      <td>Central Toronto</td>\n      <td>North Toronto West,  Lawrence Park</td>\n      <td>43.693781</td>\n      <td>-79.428191</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>M5R</td>\n      <td>Central Toronto</td>\n      <td>The Annex, North Midtown, Yorkville</td>\n      <td>43.689026</td>\n      <td>-79.453512</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>M4S</td>\n      <td>Central Toronto</td>\n      <td>Davisville</td>\n      <td>43.713756</td>\n      <td>-79.490074</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>M4T</td>\n      <td>Central Toronto</td>\n      <td>Moore Park, Summerhill East</td>\n      <td>43.648960</td>\n      <td>-79.456325</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>M4V</td>\n      <td>Central Toronto</td>\n      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n      <td>43.636966</td>\n      <td>-79.615819</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "   Postal Code            Borough  \\\n0         M5A\n  Downtown Toronto\n   \n1         M7A\n  Downtown Toronto\n   \n2         M5B\n  Downtown Toronto\n   \n3         M5C\n  Downtown Toronto\n   \n4         M5E\n  Downtown Toronto\n   \n5         M5G\n  Downtown Toronto\n   \n6         M6G\n  Downtown Toronto\n   \n7         M5H\n  Downtown Toronto\n   \n8         M5J\n  Downtown Toronto\n   \n9         M5K\n  Downtown Toronto\n   \n10        M5L\n  Downtown Toronto\n   \n11        M5S\n  Downtown Toronto\n   \n12        M5T\n  Downtown Toronto\n   \n13        M5V\n  Downtown Toronto\n   \n14        M4W\n  Downtown Toronto\n   \n15        M5W\n  Downtown Toronto\n   \n16        M4X\n  Downtown Toronto\n   \n17        M5X\n  Downtown Toronto\n   \n18        M4Y\n  Downtown Toronto\n   \n19        M6H\n      West Toronto\n   \n20        M6J\n      West Toronto\n   \n21        M6K\n      West Toronto\n   \n22        M6P\n      West Toronto\n   \n23        M6R\n      West Toronto\n   \n24        M6S\n      West Toronto\n   \n25        M4E\n      East Toronto\n   \n26        M4K\n      East Toronto\n   \n27        M4L\n      East Toronto\n   \n28        M4M\n      East Toronto\n   \n29        M7Y\n      East Toronto\n   \n30        M4N\n   Central Toronto\n   \n31        M5N\n   Central Toronto\n   \n32        M4P\n   Central Toronto\n   \n33        M5P\n   Central Toronto\n   \n34        M4R\n   Central Toronto\n   \n35        M5R\n   Central Toronto\n   \n36        M4S\n   Central Toronto\n   \n37        M4T\n   Central Toronto\n   \n38        M4V\n   Central Toronto\n   \n\n                                         Neighborhood   Latitude  Longitude  \n0                          Regent Park, Harbourfront\n  43.763573 -79.188711  \n1        Queen's Park, Ontario Provincial Government\n  43.773136 -79.239476  \n2                           Garden District, Ryerson\n  43.692657 -79.264848  \n3                                     St. James Town\n  43.799525 -79.318389  \n4                                        Berczy Park\n  43.757490 -79.374714  \n5                                 Central Bay Street\n  43.782736 -79.442259  \n6                                           Christie\n  43.753259 -79.329656  \n7                           Richmond, Adelaide, King\n  43.737473 -79.464763  \n8   Harbourfront East, Union Station, Toronto Isla...  43.695344 -79.318389  \n9           Toronto Dominion Centre, Design Exchange\n  43.668999 -79.315572  \n10                    Commerce Court, Victoria Hotel\n  43.689574 -79.383160  \n11                    University of Toronto, Harbord\n  43.691116 -79.476013  \n12         Kensington Market, Chinatown, Grange Park\n  43.651571 -79.484450  \n13  CN Tower, King and Spadina, Railway Lands, Har...  43.662744 -79.321558  \n14                                          Rosedale\n  43.636258 -79.498509  \n15                                    Stn A PO Boxes\n  43.628841 -79.520999  \n16                       St. James Town, Cabbagetown\n  43.756303 -79.565963  \n17            First Canadian Place, Underground city\n  43.724766 -79.532242  \n18                              Church and Wellesley\n  43.696319 -79.532242  \n19                      Dufferin, Dovercourt Village\n  43.739015 -79.506944  \n20                          Little Portugal, Trinity\n  43.676357 -79.293031  \n21      Brockton, Parkdale Village, Exhibition Place\n  43.659526 -79.340923  \n22                     High Park, The Junction South\n  43.646435 -79.374846  \n23                            Parkdale, Roncesvalles\n  43.669542 -79.422564  \n24                                Runnymede, Swansea\n  43.673185 -79.487262  \n25                                       The Beaches\n  43.786947 -79.385975  \n26                      The Danforth West, Riverdale\n  43.679557 -79.352188  \n27                    India Bazaar, The Beaches West\n  43.704324 -79.388790  \n28                                   Studio District\n  43.657162 -79.378937  \n29  Business reply mail Processing Centre, South C...  43.688905 -79.554724  \n30                                     Lawrence Park\n  43.648198 -79.379817  \n31                                          Roselawn\n  43.733283 -79.419750  \n32                                  Davisville North\n  43.653206 -79.400049  \n33   Forest Hill North & West, Forest Hill Road Park\n  43.628947 -79.394420  \n34                North Toronto West,  Lawrence Park\n  43.693781 -79.428191  \n35               The Annex, North Midtown, Yorkville\n  43.689026 -79.453512  \n36                                        Davisville\n  43.713756 -79.490074  \n37                       Moore Park, Summerhill East\n  43.648960 -79.456325  \n38  Summerhill West, Rathnelly, South Hill, Forest...  43.636966 -79.615819  "
                    },
                    "execution_count": 17,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "downtown_data = result[result['Borough'] == 'Downtown Toronto\\n'].reset_index(drop=True)\nwest_data = result[result['Borough'] == 'West Toronto\\n'].reset_index(drop=True)\neast_data = result[result['Borough'] == 'East Toronto\\n'].reset_index(drop=True)\ncentral_data = result[result['Borough'] == 'Central Toronto\\n'].reset_index(drop=True)\n\ntoronto_data = pd.concat([downtown_data, west_data, east_data, central_data])\ntoronto_data = toronto_data.reset_index(drop=True)\n\ntoronto_data"
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {
                "scrolled": false
            },
            "outputs": [],
            "source": "#Foursquare credential\n\nCLIENT_ID = 'MAZ3ZS4MDA4ONSCIAJC1VT5FQXOITDDE2FL5SFLD0MYCN2AG' # your Foursquare ID\nCLIENT_SECRET = 'A5N0GPLMWF3OE2PVQ5SROJQ4N5RUAZMWJN1PKWSMIE3R5ZW2' # your Foursquare Secret\nVERSION = '20180604'\nLIMIT = 30"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Let's define the same function used in the lab to get all the nearby venues"
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "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={}&limit={}'.format(\n            CLIENT_ID, \n            CLIENT_SECRET, \n            VERSION, \n            lat, \n            lng, \n            radius, \n            LIMIT)\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']['location']['lat'], \n            v['venue']['location']['lng'],  \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 = ['Neighborhood', \n                  'Neighborhood Latitude', \n                  'Neighborhood Longitude', \n                  'Venue', \n                  'Venue Latitude', \n                  'Venue Longitude', \n                  'Venue Category']\n    \n    return(nearby_venues)"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Let's get all the nearby venues to our toronto_data dataframe"
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "Regent Park, Harbourfront\n\nQueen's Park, Ontario Provincial Government\n\nGarden District, Ryerson\n\nSt. James Town\n\nBerczy Park\n\nCentral Bay Street\n\nChristie\n\nRichmond, Adelaide, King\n\nHarbourfront East, Union Station, Toronto Islands\n\nToronto Dominion Centre, Design Exchange\n\nCommerce Court, Victoria Hotel\n\nUniversity of Toronto, Harbord\n\nKensington Market, Chinatown, Grange Park\n\nCN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n\nRosedale\n\nStn A PO Boxes\n\nSt. James Town, Cabbagetown\n\nFirst Canadian Place, Underground city\n\nChurch and Wellesley\n\nDufferin, Dovercourt Village\n\nLittle Portugal, Trinity\n\nBrockton, Parkdale Village, Exhibition Place\n\nHigh Park, The Junction South\n\nParkdale, Roncesvalles\n\nRunnymede, Swansea\n\nThe Beaches\n\nThe Danforth West, Riverdale\n\nIndia Bazaar, The Beaches West\n\nStudio District\n\nBusiness reply mail Processing Centre, South Central Letter Processing Plant Toronto\n\nLawrence Park\n\nRoselawn\n\nDavisville North\n\nForest Hill North & West, Forest Hill Road Park\n\nNorth Toronto West,  Lawrence Park\n\nThe Annex, North Midtown, Yorkville\n\nDavisville\n\nMoore Park, Summerhill East\n\nSummerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n\n"
                }
            ],
            "source": "toronto_venues = getNearbyVenues(names=toronto_data['Neighborhood'],\n                                   latitudes=toronto_data['Latitude'],\n                                   longitudes=toronto_data['Longitude']\n                                  )\n\n"
        },
        {
            "cell_type": "code",
            "execution_count": 21,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "(482, 7)\n"
                }
            ],
            "source": "print(toronto_venues.shape)"
        },
        {
            "cell_type": "code",
            "execution_count": 22,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighborhood Latitude</th>\n      <th>Neighborhood Longitude</th>\n      <th>Venue</th>\n      <th>Venue Latitude</th>\n      <th>Venue Longitude</th>\n      <th>Venue Category</th>\n    </tr>\n    <tr>\n      <th>Neighborhood</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Berczy Park</th>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>Brockton, Parkdale Village, Exhibition Place</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>Business reply mail Processing Centre, South Central Letter Processing Plant Toronto</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport</th>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>Central Bay Street</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>Christie</th>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>Church and Wellesley</th>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>Commerce Court, Victoria Hotel</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>Davisville</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>Davisville North</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>Dufferin, Dovercourt Village</th>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>First Canadian Place, Underground city</th>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>Forest Hill North &amp; West, Forest Hill Road Park</th>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>Garden District, Ryerson</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>Harbourfront East, Union Station, Toronto Islands</th>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>High Park, The Junction South</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>India Bazaar, The Beaches West</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>Kensington Market, Chinatown, Grange Park</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>Lawrence Park</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>Little Portugal, Trinity</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>Moore Park, Summerhill East</th>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <th>North Toronto West,  Lawrence Park</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>Parkdale, Roncesvalles</th>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>Queen's Park, Ontario Provincial Government</th>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>Regent Park, Harbourfront</th>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n      <td>7</td>\n    </tr>\n    <tr>\n      <th>Richmond, Adelaide, King</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>Rosedale</th>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>Roselawn</th>\n      <td>25</td>\n      <td>25</td>\n      <td>25</td>\n      <td>25</td>\n      <td>25</td>\n      <td>25</td>\n    </tr>\n    <tr>\n      <th>Runnymede, Swansea</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>St. James Town</th>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>St. James Town, Cabbagetown</th>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>Stn A PO Boxes</th>\n      <td>16</td>\n      <td>16</td>\n      <td>16</td>\n      <td>16</td>\n      <td>16</td>\n      <td>16</td>\n    </tr>\n    <tr>\n      <th>Studio District</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park</th>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>The Annex, North Midtown, Yorkville</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>The Beaches</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>The Danforth West, Riverdale</th>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>Toronto Dominion Centre, Design Exchange</th>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>University of Toronto, Harbord</th>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "                                                    Neighborhood Latitude  \\\nNeighborhood                                                                \nBerczy Park                                                             1   \n                                                                       30   \nBrockton, Parkdale Village, Exhibition Place                            4   \n                                                                       17   \nBusiness reply mail Processing Centre, South Ce...                      4   \nCN Tower, King and Spadina, Railway Lands, Harb...                      2   \nCentral Bay Street                                                      7   \n                                                                        4   \nChristie                                                                4   \n                                                                       30   \nChurch and Wellesley                                                    5   \n                                                                        1   \nCommerce Court, Victoria Hotel                                         15   \n                                                                        4   \nDavisville                                                              8   \n                                                                       30   \nDavisville North                                                       30   \n                                                                       30   \nDufferin, Dovercourt Village                                           30   \n                                                                        4   \nFirst Canadian Place, Underground city                                 14   \n                                                                        4   \nForest Hill North & West, Forest Hill Road Park                        17   \n                                                                        8   \nGarden District, Ryerson                                                7   \n                                                                        4   \nHarbourfront East, Union Station, Toronto Islands                       2   \n                                                                       25   \nHigh Park, The Junction South                                           4   \n                                                                       15   \nIndia Bazaar, The Beaches West                                          1   \n                                                                       16   \nKensington Market, Chinatown, Grange Park                              30   \n                                                                       12   \nLawrence Park                                                           4   \n                                                                        4   \nLittle Portugal, Trinity                                               30   \n                                                                       21   \nMoore Park, Summerhill East                                             4   \n                                                                            \nNorth Toronto West,  Lawrence Park                                          \n                                                                            \nParkdale, Roncesvalles                                                      \n                                                                            \nQueen's Park, Ontario Provincial Government                                 \n                                                                            \nRegent Park, Harbourfront                                                   \n                                                                            \nRichmond, Adelaide, King                                                    \n                                                                            \nRosedale                                                                    \n                                                                            \nRoselawn                                                                    \n                                                                            \nRunnymede, Swansea                                                          \n                                                                            \nSt. James Town                                                              \n                                                                            \nSt. James Town, Cabbagetown                                                 \n                                                                            \nStn A PO Boxes                                                              \n                                                                            \nStudio District                                                             \n                                                                            \nSummerhill West, Rathnelly, South Hill, Forest ...                          \nThe Annex, North Midtown, Yorkville                                         \n                                                                            \nThe Beaches                                                                 \n                                                                            \nThe Danforth West, Riverdale                                                \n                                                                            \nToronto Dominion Centre, Design Exchange                                    \n                                                                            \nUniversity of Toronto, Harbord                                              \n                                                                            \n\n                                                    Neighborhood Longitude  \\\nNeighborhood                                                                 \nBerczy Park                                                              1   \n                                                                        30   \nBrockton, Parkdale Village, Exhibition Place                             4   \n                                                                        17   \nBusiness reply mail Processing Centre, South Ce...                       4   \nCN Tower, King and Spadina, Railway Lands, Harb...                       2   \nCentral Bay Street                                                       7   \n                                                                         4   \nChristie                                                                 4   \n                                                                        30   \nChurch and Wellesley                                                     5   \n                                                                         1   \nCommerce Court, Victoria Hotel                                          15   \n                                                                         4   \nDavisville                                                               8   \n                                                                        30   \nDavisville North                                                        30   \n                                                                        30   \nDufferin, Dovercourt Village                                            30   \n                                                                         4   \nFirst Canadian Place, Underground city                                  14   \n                                                                         4   \nForest Hill North & West, Forest Hill Road Park                         17   \n                                                                         8   \nGarden District, Ryerson                                                 7   \n                                                                         4   \nHarbourfront East, Union Station, Toronto Islands                        2   \n                                                                        25   \nHigh Park, The Junction South                                            4   \n                                                                        15   \nIndia Bazaar, The Beaches West                                           1   \n                                                                        16   \nKensington Market, Chinatown, Grange Park                               30   \n                                                                        12   \nLawrence Park                                                            4   \n                                                                         4   \nLittle Portugal, Trinity                                                30   \n                                                                        21   \nMoore Park, Summerhill East                                              4   \n                                                                             \nNorth Toronto West,  Lawrence Park                                           \n                                                                             \nParkdale, Roncesvalles                                                       \n                                                                             \nQueen's Park, Ontario Provincial Government                                  \n                                                                             \nRegent Park, Harbourfront                                                    \n                                                                             \nRichmond, Adelaide, King                                                     \n                                                                             \nRosedale                                                                     \n                                                                             \nRoselawn                                                                     \n                                                                             \nRunnymede, Swansea                                                           \n                                                                             \nSt. James Town                                                               \n                                                                             \nSt. James Town, Cabbagetown                                                  \n                                                                             \nStn A PO Boxes                                                               \n                                                                             \nStudio District                                                              \n                                                                             \nSummerhill West, Rathnelly, South Hill, Forest ...                           \nThe Annex, North Midtown, Yorkville                                          \n                                                                             \nThe Beaches                                                                  \n                                                                             \nThe Danforth West, Riverdale                                                 \n                                                                             \nToronto Dominion Centre, Design Exchange                                     \n                                                                             \nUniversity of Toronto, Harbord                                               \n                                                                             \n\n                                                    Venue  Venue Latitude  \\\nNeighborhood                                                                \nBerczy Park                                             1               1   \n                                                       30              30   \nBrockton, Parkdale Village, Exhibition Place            4               4   \n                                                       17              17   \nBusiness reply mail Processing Centre, South Ce...      4               4   \nCN Tower, King and Spadina, Railway Lands, Harb...      2               2   \nCentral Bay Street                                      7               7   \n                                                        4               4   \nChristie                                                4               4   \n                                                       30              30   \nChurch and Wellesley                                    5               5   \n                                                        1               1   \nCommerce Court, Victoria Hotel                         15              15   \n                                                        4               4   \nDavisville                                              8               8   \n                                                       30              30   \nDavisville North                                       30              30   \n                                                       30              30   \nDufferin, Dovercourt Village                           30              30   \n                                                        4               4   \nFirst Canadian Place, Underground city                 14              14   \n                                                        4               4   \nForest Hill North & West, Forest Hill Road Park        17              17   \n                                                        8               8   \nGarden District, Ryerson                                7               7   \n                                                        4               4   \nHarbourfront East, Union Station, Toronto Islands       2               2   \n                                                       25              25   \nHigh Park, The Junction South                           4               4   \n                                                       15              15   \nIndia Bazaar, The Beaches West                          1               1   \n                                                       16              16   \nKensington Market, Chinatown, Grange Park              30              30   \n                                                       12              12   \nLawrence Park                                           4               4   \n                                                        4               4   \nLittle Portugal, Trinity                               30              30   \n                                                       21              21   \nMoore Park, Summerhill East                             4               4   \n                                                                            \nNorth Toronto West,  Lawrence Park                                          \n                                                                            \nParkdale, Roncesvalles                                                      \n                                                                            \nQueen's Park, Ontario Provincial Government                                 \n                                                                            \nRegent Park, Harbourfront                                                   \n                                                                            \nRichmond, Adelaide, King                                                    \n                                                                            \nRosedale                                                                    \n                                                                            \nRoselawn                                                                    \n                                                                            \nRunnymede, Swansea                                                          \n                                                                            \nSt. James Town                                                              \n                                                                            \nSt. James Town, Cabbagetown                                                 \n                                                                            \nStn A PO Boxes                                                              \n                                                                            \nStudio District                                                             \n                                                                            \nSummerhill West, Rathnelly, South Hill, Forest ...                          \nThe Annex, North Midtown, Yorkville                                         \n                                                                            \nThe Beaches                                                                 \n                                                                            \nThe Danforth West, Riverdale                                                \n                                                                            \nToronto Dominion Centre, Design Exchange                                    \n                                                                            \nUniversity of Toronto, Harbord                                              \n                                                                            \n\n                                                    Venue Longitude  \\\nNeighborhood                                                          \nBerczy Park                                                       1   \n                                                                 30   \nBrockton, Parkdale Village, Exhibition Place                      4   \n                                                                 17   \nBusiness reply mail Processing Centre, South Ce...                4   \nCN Tower, King and Spadina, Railway Lands, Harb...                2   \nCentral Bay Street                                                7   \n                                                                  4   \nChristie                                                          4   \n                                                                 30   \nChurch and Wellesley                                              5   \n                                                                  1   \nCommerce Court, Victoria Hotel                                   15   \n                                                                  4   \nDavisville                                                        8   \n                                                                 30   \nDavisville North                                                 30   \n                                                                 30   \nDufferin, Dovercourt Village                                     30   \n                                                                  4   \nFirst Canadian Place, Underground city                           14   \n                                                                  4   \nForest Hill North & West, Forest Hill Road Park                  17   \n                                                                  8   \nGarden District, Ryerson                                          7   \n                                                                  4   \nHarbourfront East, Union Station, Toronto Islands                 2   \n                                                                 25   \nHigh Park, The Junction South                                     4   \n                                                                 15   \nIndia Bazaar, The Beaches West                                    1   \n                                                                 16   \nKensington Market, Chinatown, Grange Park                        30   \n                                                                 12   \nLawrence Park                                                     4   \n                                                                  4   \nLittle Portugal, Trinity                                         30   \n                                                                 21   \nMoore Park, Summerhill East                                       4   \n                                                                      \nNorth Toronto West,  Lawrence Park                                    \n                                                                      \nParkdale, Roncesvalles                                                \n                                                                      \nQueen's Park, Ontario Provincial Government                           \n                                                                      \nRegent Park, Harbourfront                                             \n                                                                      \nRichmond, Adelaide, King                                              \n                                                                      \nRosedale                                                              \n                                                                      \nRoselawn                                                              \n                                                                      \nRunnymede, Swansea                                                    \n                                                                      \nSt. James Town                                                        \n                                                                      \nSt. James Town, Cabbagetown                                           \n                                                                      \nStn A PO Boxes                                                        \n                                                                      \nStudio District                                                       \n                                                                      \nSummerhill West, Rathnelly, South Hill, Forest ...                    \nThe Annex, North Midtown, Yorkville                                   \n                                                                      \nThe Beaches                                                           \n                                                                      \nThe Danforth West, Riverdale                                          \n                                                                      \nToronto Dominion Centre, Design Exchange                              \n                                                                      \nUniversity of Toronto, Harbord                                        \n                                                                      \n\n                                                    Venue Category  \nNeighborhood                                                        \nBerczy Park                                                      1  \n                                                                30  \nBrockton, Parkdale Village, Exhibition Place                     4  \n                                                                17  \nBusiness reply mail Processing Centre, South Ce...               4  \nCN Tower, King and Spadina, Railway Lands, Harb...               2  \nCentral Bay Street                                               7  \n                                                                 4  \nChristie                                                         4  \n                                                                30  \nChurch and Wellesley                                             5  \n                                                                 1  \nCommerce Court, Victoria Hotel                                  15  \n                                                                 4  \nDavisville                                                       8  \n                                                                30  \nDavisville North                                                30  \n                                                                30  \nDufferin, Dovercourt Village                                    30  \n                                                                 4  \nFirst Canadian Place, Underground city                          14  \n                                                                 4  \nForest Hill North & West, Forest Hill Road Park                 17  \n                                                                 8  \nGarden District, Ryerson                                         7  \n                                                                 4  \nHarbourfront East, Union Station, Toronto Islands                2  \n                                                                25  \nHigh Park, The Junction South                                    4  \n                                                                15  \nIndia Bazaar, The Beaches West                                   1  \n                                                                16  \nKensington Market, Chinatown, Grange Park                       30  \n                                                                12  \nLawrence Park                                                    4  \n                                                                 4  \nLittle Portugal, Trinity                                        30  \n                                                                21  \nMoore Park, Summerhill East                                      4  \n                                                                    \nNorth Toronto West,  Lawrence Park                                  \n                                                                    \nParkdale, Roncesvalles                                              \n                                                                    \nQueen's Park, Ontario Provincial Government                         \n                                                                    \nRegent Park, Harbourfront                                           \n                                                                    \nRichmond, Adelaide, King                                            \n                                                                    \nRosedale                                                            \n                                                                    \nRoselawn                                                            \n                                                                    \nRunnymede, Swansea                                                  \n                                                                    \nSt. James Town                                                      \n                                                                    \nSt. James Town, Cabbagetown                                         \n                                                                    \nStn A PO Boxes                                                      \n                                                                    \nStudio District                                                     \n                                                                    \nSummerhill West, Rathnelly, South Hill, Forest ...                  \nThe Annex, North Midtown, Yorkville                                 \n                                                                    \nThe Beaches                                                         \n                                                                    \nThe Danforth West, Riverdale                                        \n                                                                    \nToronto Dominion Centre, Design Exchange                            \n                                                                    \nUniversity of Toronto, Harbord                                      \n                                                                    "
                    },
                    "execution_count": 22,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_venues.groupby('Neighborhood').count()"
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "There are 164 uniques categories.\n"
                }
            ],
            "source": "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Let's start to analyze each Neighborhood and then we'll procede with the clustering"
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "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>Neighborhood</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>Art Gallery</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Auto Workshop</th>\n      <th>Baby Store</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Field</th>\n      <th>Basketball Court</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Board Shop</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Bus Stop</th>\n      <th>Butcher</th>\n      <th>Cafeteria</th>\n      <th>Caf\u00e9</th>\n      <th>Candy Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Rec Center</th>\n      <th>College Stadium</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Construction &amp; Landscaping</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Cuban Restaurant</th>\n      <th>Curling Ice</th>\n      <th>Deli / Bodega</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Donut Shop</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Field</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gas Station</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Gym Pool</th>\n      <th>Hakka Restaurant</th>\n      <th>Harbor / Marina</th>\n      <th>Hardware Store</th>\n      <th>Health Food Store</th>\n      <th>Hobby Shop</th>\n      <th>Hockey Arena</th>\n      <th>Hotel</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Indie Movie Theater</th>\n      <th>Intersection</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Juice Bar</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Liquor Store</th>\n      <th>Medical Center</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Mobile Phone Shop</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Venue</th>\n      <th>Nightclub</th>\n      <th>Organic Grocery</th>\n      <th>Park</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Pool</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Rental Car Location</th>\n      <th>Restaurant</th>\n      <th>Sandwich Place</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shopping Mall</th>\n      <th>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Social Club</th>\n      <th>Spa</th>\n      <th>Sporting Goods Shop</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Summer Camp</th>\n      <th>Supplement Shop</th>\n      <th>Sushi Restaurant</th>\n      <th>Tailor Shop</th>\n      <th>Tanning Salon</th>\n      <th>Tea Room</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</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>Regent Park, Harbourfront</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <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>Regent Park, Harbourfront</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>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>Regent Park, Harbourfront</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <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>Regent Park, Harbourfront</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <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>Regent Park, Harbourfront</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "                 Neighborhood  Airport  Airport Food Court  Airport Gate  \\\n0  Regent Park, Harbourfront\n        0                   0             0   \n1  Regent Park, Harbourfront\n        0                   0             0   \n2  Regent Park, Harbourfront\n        0                   0             0   \n3  Regent Park, Harbourfront\n        0                   0             0   \n4  Regent Park, Harbourfront\n        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\n   Art Gallery  Arts & Crafts Store  Athletics & Sports  Auto Workshop  \\\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   Baby Store  Bakery  Bank  Bar  Baseball Field  Basketball Court  Beer Bar  \\\n0           0       0     1    0               0                 0         0   \n1           0       0     0    0               0                 0         0   \n2           0       0     0    0               0                 0         0   \n3           0       0     0    0               0                 0         0   \n4           0       0     0    0               0                 0         0   \n\n   Beer Store  Belgian Restaurant  Board Shop  Boat or Ferry  Bookstore  \\\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   Breakfast Spot  Brewery  Bubble Tea Shop  Burger Joint  Burrito Place  \\\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   Bus Line  Bus Stop  Butcher  Cafeteria  Caf\u00e9  Candy 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   Caribbean Restaurant  Cheese Shop  Chinese Restaurant  Clothing Store  \\\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   Cocktail Bar  Coffee Shop  College Rec Center  College Stadium  \\\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   Comfort Food Restaurant  Comic Shop  Concert Hall  \\\n0                        0           0             0   \n1                        0           0             0   \n2                        0           0             0   \n3                        0           0             0   \n4                        0           0             0   \n\n   Construction & Landscaping  Convenience Store  Cosmetics Shop  \\\n0                           0                  0               0   \n1                           0                  0               0   \n2                           0                  0               0   \n3                           0                  0               0   \n4                           0                  0               0   \n\n   Coworking Space  Creperie  Cuban Restaurant  Curling Ice  Deli / Bodega  \\\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   Dessert Shop  Diner  Discount Store  Dog Run  Donut Shop  \\\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   Eastern European Restaurant  Electronics Store  Falafel Restaurant  \\\n0                            0                  0                   0   \n1                            0                  1                   0   \n2                            0                  0                   0   \n3                            0                  0                   0   \n4                            0                  0                   0   \n\n   Farmers Market  Fast Food Restaurant  Field  Fish & Chips Shop  \\\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   Fish Market  Flower Shop  Food  Food & Drink Shop  Food Truck  Fountain  \\\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   French Restaurant  Fried Chicken Joint  Fruit & Vegetable Store  \\\n0                  0                    0                        0   \n1                  0                    0                        0   \n2                  0                    0                        0   \n3                  0                    0                        0   \n4                  0                    0                        0   \n\n   Furniture / Home Store  Gaming Cafe  Garden  Garden Center  Gas Station  \\\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   Gastropub  Gay Bar  General Entertainment  Gift Shop  \\\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   Gluten-free Restaurant  Gourmet Shop  Greek Restaurant  Grocery Store  Gym  \\\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   Gym / Fitness Center  Gym Pool  Hakka Restaurant  Harbor / Marina  \\\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   Hardware Store  Health Food Store  Hobby Shop  Hockey Arena  Hotel  \\\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   Ice Cream Shop  Indian Restaurant  Indie Movie Theater  Intersection  \\\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   Italian Restaurant  Japanese Restaurant  Jazz Club  Juice Bar  \\\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   Latin American Restaurant  Light Rail Station  Liquor Store  \\\n0                          0                   0             0   \n1                          0                   0             0   \n2                          0                   0             0   \n3                          0                   0             0   \n4                          0                   0             0   \n\n   Medical Center  Mediterranean Restaurant  Mexican Restaurant  \\\n0               0                         0                   0   \n1               0                         0                   0   \n2               0                         0                   1   \n3               0                         0                   0   \n4               1                         0                   0   \n\n   Middle Eastern Restaurant  Mobile Phone Shop  Movie Theater  Museum  \\\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   Music Venue  Nightclub  Organic Grocery  Park  Pet Store  Pharmacy  \\\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   Pizza Place  Plane  Playground  Plaza  Pool  Pub  Ramen Restaurant  \\\n0            0      0           0      0     0    0                 0   \n1            0      0           0      0     0    0                 0   \n2            0      0           0      0     0    0                 0   \n3            0      0           0      0     0    0                 0   \n4            0      0           0      0     0    0                 0   \n\n   Record Shop  Rental Car Location  Restaurant  Sandwich Place  \\\n0            0                    0           0               0   \n1            0                    0           0               0   \n2            0                    0           0               0   \n3            0                    1           0               0   \n4            0                    0           0               0   \n\n   Sculpture Garden  Seafood Restaurant  Shopping Mall  Skate Park  \\\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   Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  Social Club  Spa  \\\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   Sporting Goods Shop  Stationery Store  Steakhouse  Summer Camp  \\\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   Supplement Shop  Sushi Restaurant  Tailor Shop  Tanning Salon  Tea Room  \\\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   Thai Restaurant  Theater  Thrift / Vintage Store  Toy / Game Store  Trail  \\\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   Vegetarian / Vegan Restaurant  Video 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   Wine Bar  Wings Joint  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  "
                    },
                    "execution_count": 24,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "# one hot encoding\ntoronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n\n# add neighborhood column back to dataframe\ntoronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n\n# define a list of column names\ncols = toronto_onehot.columns.tolist()\ncols\n\n# move the column name to the beggining\ncols.insert(0, cols.pop(cols.index('Neighborhood')))\ncols\n\n#then use .reindex() function to reorder\ntoronto_onehot = toronto_onehot.reindex(columns= cols)\n\n#check result\ntoronto_onehot.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 25,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "(482, 164)"
                    },
                    "execution_count": 25,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "toronto_onehot.shape"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "#### let's group rows by neighborhood and by taking the mean of the frequency of occurrence of each category"
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Neighborhood</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>Art Gallery</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Auto Workshop</th>\n      <th>Baby Store</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Field</th>\n      <th>Basketball Court</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Board Shop</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Bus Stop</th>\n      <th>Butcher</th>\n      <th>Cafeteria</th>\n      <th>Caf\u00e9</th>\n      <th>Candy Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Rec Center</th>\n      <th>College Stadium</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Construction &amp; Landscaping</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Cuban Restaurant</th>\n      <th>Curling Ice</th>\n      <th>Deli / Bodega</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Donut Shop</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Field</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gas Station</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Gym Pool</th>\n      <th>Hakka Restaurant</th>\n      <th>Harbor / Marina</th>\n      <th>Hardware Store</th>\n      <th>Health Food Store</th>\n      <th>Hobby Shop</th>\n      <th>Hockey Arena</th>\n      <th>Hotel</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Indie Movie Theater</th>\n      <th>Intersection</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Juice Bar</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Liquor Store</th>\n      <th>Medical Center</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Mobile Phone Shop</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Venue</th>\n      <th>Nightclub</th>\n      <th>Organic Grocery</th>\n      <th>Park</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Pool</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Rental Car Location</th>\n      <th>Restaurant</th>\n      <th>Sandwich Place</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shopping Mall</th>\n      <th>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Social Club</th>\n      <th>Spa</th>\n      <th>Sporting Goods Shop</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Summer Camp</th>\n      <th>Supplement Shop</th>\n      <th>Sushi Restaurant</th>\n      <th>Tailor Shop</th>\n      <th>Tanning Salon</th>\n      <th>Tea Room</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</th>\n      <th>Trail</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</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>Berczy Park</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>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>1.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</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>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      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <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>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.00</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</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>0.000000</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>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>0.0</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Brockton, Parkdale Village, Exhibition Place</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>0.033333</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>0.066667</td>\n      <td>0.00</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>0.033333</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.133333</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.10</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</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      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</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      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</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      <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>0.033333</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n      <td>0.00</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>0.033333</td>\n      <td>0.033333</td>\n      <td>0.00</td>\n      <td>0.000000</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>0.000000</td>\n      <td>0.033333</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</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>0.033333</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>0.033333</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>0.033333</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.033333</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Business reply mail Processing Centre, South C...</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>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</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>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      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <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>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.25</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.250000</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>0.000000</td>\n      <td>0.250000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</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>0.000000</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>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>0.0</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</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>0.0</td>\n      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.058824</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>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      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <td>0.058824</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <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>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.117647</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>0.00</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>0.058824</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.058824</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>0.058824</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.058824</td>\n      <td>0.0</td>\n      <td>0.000000</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>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>0.0</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Central Bay Street</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>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.25</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>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.25</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</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>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      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</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      <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>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.00</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>0.000000</td>\n      <td>0.25</td>\n      <td>0.250000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</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>0.000000</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>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>0.0</td>\n      <td>0.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "                                        Neighborhood  Airport  \\\n0                                       Berczy Park\n      0.0   \n1      Brockton, Parkdale Village, Exhibition Place\n      0.0   \n2  Business reply mail Processing Centre, South C...      0.0   \n3  CN Tower, King and Spadina, Railway Lands, Har...      0.0   \n4                                Central Bay Street\n      0.0   \n\n   Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\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   Airport Terminal  American Restaurant  Art Gallery  Arts & Crafts Store  \\\n0               0.0             0.000000          0.0                  0.0   \n1               0.0             0.033333          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             0.000000          0.0                  0.0   \n\n   Athletics & Sports  Auto Workshop  Baby Store    Bakery  Bank  Bar  \\\n0                 0.0       0.000000         0.0  0.000000  0.00  0.0   \n1                 0.0       0.000000         0.0  0.066667  0.00  0.0   \n2                 0.0       0.000000         0.0  0.000000  0.00  0.0   \n3                 0.0       0.058824         0.0  0.000000  0.00  0.0   \n4                 0.0       0.000000         0.0  0.000000  0.25  0.0   \n\n   Baseball Field  Basketball Court  Beer Bar  Beer Store  Belgian Restaurant  \\\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   Board Shop  Boat or Ferry  Bookstore  Breakfast Spot   Brewery  \\\n0         0.0            0.0   0.000000             0.0  0.000000   \n1         0.0            0.0   0.033333             0.0  0.033333   \n2         0.0            0.0   0.000000             0.0  0.000000   \n3         0.0            0.0   0.000000             0.0  0.058824   \n4         0.0            0.0   0.000000             0.0  0.000000   \n\n   Bubble Tea Shop  Burger Joint  Burrito Place  Bus Line  Bus Stop   Butcher  \\\n0              0.0           0.0       0.000000      0.00       0.0  0.000000   \n1              0.0           0.0       0.000000      0.00       0.0  0.000000   \n2              0.0           0.0       0.000000      0.25       0.0  0.000000   \n3              0.0           0.0       0.058824      0.00       0.0  0.058824   \n4              0.0           0.0       0.000000      0.00       0.0  0.000000   \n\n   Cafeteria      Caf\u00e9  Candy Store  Caribbean Restaurant  Cheese Shop  \\\n0        1.0  0.000000          0.0                   0.0     0.000000   \n1        0.0  0.133333          0.0                   0.0     0.033333   \n2        0.0  0.000000          0.0                   0.0     0.000000   \n3        0.0  0.000000          0.0                   0.0     0.000000   \n4        0.0  0.000000          0.0                   0.0     0.000000   \n\n   Chinese Restaurant  Clothing Store  Cocktail Bar  Coffee Shop  \\\n0                 0.0             0.0           0.0         0.00   \n1                 0.0             0.0           0.0         0.10   \n2                 0.0             0.0           0.0         0.00   \n3                 0.0             0.0           0.0         0.00   \n4                 0.0             0.0           0.0         0.25   \n\n   College Rec Center  College Stadium  Comfort Food Restaurant  Comic Shop  \\\n0                 0.0              0.0                 0.000000    0.000000   \n1                 0.0              0.0                 0.033333    0.000000   \n2                 0.0              0.0                 0.000000    0.000000   \n3                 0.0              0.0                 0.000000    0.058824   \n4                 0.0              0.0                 0.000000    0.000000   \n\n   Concert Hall  Construction & Landscaping  Convenience 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   Cosmetics Shop  Coworking Space  Creperie  Cuban Restaurant  Curling Ice  \\\n0             0.0         0.000000       0.0               0.0          0.0   \n1             0.0         0.033333       0.0               0.0          0.0   \n2             0.0         0.000000       0.0               0.0          0.0   \n3             0.0         0.000000       0.0               0.0          0.0   \n4             0.0         0.000000       0.0               0.0          0.0   \n\n   Deli / Bodega  Dessert Shop  Diner  Discount Store  Dog Run  Donut Shop  \\\n0            0.0           0.0    0.0             0.0      0.0         0.0   \n1            0.0           0.0    0.0             0.0      0.0         0.0   \n2            0.0           0.0    0.0             0.0      0.0         0.0   \n3            0.0           0.0    0.0             0.0      0.0         0.0   \n4            0.0           0.0    0.0             0.0      0.0         0.0   \n\n   Eastern European Restaurant  Electronics Store  Falafel Restaurant  \\\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   Farmers Market  Fast Food Restaurant  Field  Fish & Chips Shop  \\\n0        0.000000              0.000000    0.0                0.0   \n1        0.000000              0.000000    0.0                0.0   \n2        0.000000              0.000000    0.0                0.0   \n3        0.058824              0.058824    0.0                0.0   \n4        0.000000              0.000000    0.0                0.0   \n\n   Fish Market  Flower Shop  Food  Food & Drink Shop  Food Truck  Fountain  \\\n0     0.000000          0.0   0.0                0.0         0.0       0.0   \n1     0.033333          0.0   0.0                0.0         0.0       0.0   \n2     0.000000          0.0   0.0                0.0         0.0       0.0   \n3     0.000000          0.0   0.0                0.0         0.0       0.0   \n4     0.000000          0.0   0.0                0.0         0.0       0.0   \n\n   French Restaurant  Fried Chicken Joint  Fruit & Vegetable 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   Furniture / Home Store  Gaming Cafe    Garden  Garden Center  Gas Station  \\\n0                     0.0          0.0  0.000000       0.000000          0.0   \n1                     0.0          0.0  0.000000       0.000000          0.0   \n2                     0.0          0.0  0.000000       0.000000          0.0   \n3                     0.0          0.0  0.058824       0.058824          0.0   \n4                     0.0          0.0  0.000000       0.000000          0.0   \n\n   Gastropub   Gay Bar  General Entertainment  Gift Shop  \\\n0        0.0  0.000000                    0.0        0.0   \n1        0.0  0.033333                    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  0.000000                    0.0        0.0   \n\n   Gluten-free Restaurant  Gourmet Shop  Greek Restaurant  Grocery Store  Gym  \\\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   Gym / Fitness Center  Gym Pool  Hakka Restaurant  Harbor / Marina  \\\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   Hardware Store  Health Food Store  Hobby Shop  Hockey Arena  Hotel  \\\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   Ice Cream Shop  Indian Restaurant  Indie Movie Theater  Intersection  \\\n0        0.000000                0.0                  0.0           0.0   \n1        0.033333                0.0                  0.0           0.0   \n2        0.000000                0.0                  0.0           0.0   \n3        0.000000                0.0                  0.0           0.0   \n4        0.000000                0.0                  0.0           0.0   \n\n   Italian Restaurant  Japanese Restaurant  Jazz Club  Juice Bar  \\\n0            0.000000                  0.0        0.0        0.0   \n1            0.033333                  0.0        0.0        0.0   \n2            0.000000                  0.0        0.0        0.0   \n3            0.000000                  0.0        0.0        0.0   \n4            0.000000                  0.0        0.0        0.0   \n\n   Latin American Restaurant  Light Rail Station  Liquor Store  \\\n0                   0.000000            0.000000           0.0   \n1                   0.033333            0.000000           0.0   \n2                   0.000000            0.000000           0.0   \n3                   0.000000            0.117647           0.0   \n4                   0.000000            0.000000           0.0   \n\n   Medical Center  Mediterranean Restaurant  Mexican Restaurant  \\\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   Middle Eastern Restaurant  Mobile Phone Shop  Movie Theater  Museum  \\\n0                   0.000000               0.00            0.0     0.0   \n1                   0.033333               0.00            0.0     0.0   \n2                   0.000000               0.25            0.0     0.0   \n3                   0.000000               0.00            0.0     0.0   \n4                   0.000000               0.00            0.0     0.0   \n\n   Music Venue  Nightclub  Organic Grocery      Park  Pet Store  Pharmacy  \\\n0          0.0        0.0              0.0  0.000000   0.000000      0.00   \n1          0.0        0.0              0.0  0.033333   0.033333      0.00   \n2          0.0        0.0              0.0  0.000000   0.000000      0.00   \n3          0.0        0.0              0.0  0.058824   0.000000      0.00   \n4          0.0        0.0              0.0  0.000000   0.000000      0.25   \n\n   Pizza Place  Plane  Playground  Plaza  Pool  Pub  Ramen Restaurant  \\\n0     0.000000    0.0         0.0    0.0   0.0  0.0               0.0   \n1     0.000000    0.0         0.0    0.0   0.0  0.0               0.0   \n2     0.250000    0.0         0.0    0.0   0.0  0.0               0.0   \n3     0.058824    0.0         0.0    0.0   0.0  0.0               0.0   \n4     0.250000    0.0         0.0    0.0   0.0  0.0               0.0   \n\n   Record Shop  Rental Car Location  Restaurant  Sandwich Place  \\\n0          0.0                  0.0    0.000000        0.000000   \n1          0.0                  0.0    0.000000        0.033333   \n2          0.0                  0.0    0.000000        0.250000   \n3          0.0                  0.0    0.058824        0.000000   \n4          0.0                  0.0    0.000000        0.000000   \n\n   Sculpture Garden  Seafood Restaurant  Shopping Mall  Skate Park  \\\n0               0.0            0.000000            0.0    0.000000   \n1               0.0            0.033333            0.0    0.000000   \n2               0.0            0.000000            0.0    0.000000   \n3               0.0            0.000000            0.0    0.058824   \n4               0.0            0.000000            0.0    0.000000   \n\n   Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  Social Club  \\\n0           0.0    0.000000            0.0          0.0          0.0   \n1           0.0    0.000000            0.0          0.0          0.0   \n2           0.0    0.000000            0.0          0.0          0.0   \n3           0.0    0.058824            0.0          0.0          0.0   \n4           0.0    0.000000            0.0          0.0          0.0   \n\n        Spa  Sporting Goods Shop  Stationery Store  Steakhouse  Summer Camp  \\\n0  0.000000                  0.0          0.000000         0.0          0.0   \n1  0.000000                  0.0          0.033333         0.0          0.0   \n2  0.000000                  0.0          0.000000         0.0          0.0   \n3  0.058824                  0.0          0.000000         0.0          0.0   \n4  0.000000                  0.0          0.000000         0.0          0.0   \n\n   Supplement Shop  Sushi Restaurant  Tailor Shop  Tanning Salon  Tea Room  \\\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   Thai Restaurant  Theater  Thrift / Vintage Store  Toy / Game Store  Trail  \\\n0         0.000000      0.0                     0.0               0.0    0.0   \n1         0.033333      0.0                     0.0               0.0    0.0   \n2         0.000000      0.0                     0.0               0.0    0.0   \n3         0.000000      0.0                     0.0               0.0    0.0   \n4         0.000000      0.0                     0.0               0.0    0.0   \n\n   Vegetarian / Vegan Restaurant  Video Store  Vietnamese Restaurant  \\\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   Wine Bar  Wings Joint  Women's Store  Yoga Studio  \n0  0.000000          0.0            0.0     0.000000  \n1  0.033333          0.0            0.0     0.033333  \n2  0.000000          0.0            0.0     0.000000  \n3  0.000000          0.0            0.0     0.000000  \n4  0.000000          0.0            0.0     0.000000  "
                    },
                    "execution_count": 26,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "to_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\nto_grouped.head()"
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "(39, 164)"
                    },
                    "execution_count": 27,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "to_grouped.shape"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "#### Let's get each neighborhood along with the top 5 most common venues and put them into a pandas dataframe"
        },
        {
            "cell_type": "code",
            "execution_count": 28,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": "----Berczy Park\n----\n----Brockton, Parkdale Village, Exhibition Place\n----\n----Business reply mail Processing Centre, South Central Letter Processing Plant Toronto\n----\n----CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n----\n----Central Bay Street\n----\n----Christie\n----\n----Church and Wellesley\n----\n----Commerce Court, Victoria Hotel\n----\n----Davisville\n----\n----Davisville North\n----\n----Dufferin, Dovercourt Village\n----\n----First Canadian Place, Underground city\n----\n----Forest Hill North & West, Forest Hill Road Park\n----\n----Garden District, Ryerson\n----\n----Harbourfront East, Union Station, Toronto Islands\n----\n----High Park, The Junction South\n----\n----India Bazaar, The Beaches West\n----\n----Kensington Market, Chinatown, Grange Park\n----\n----Lawrence Park\n----\n----Little Portugal, Trinity\n----\n----Moore Park, Summerhill East\n----\n----North Toronto West,  Lawrence Park\n----\n----Parkdale, Roncesvalles\n----\n----Queen's Park, Ontario Provincial Government\n----\n----Regent Park, Harbourfront\n----\n----Richmond, Adelaide, King\n----\n----Rosedale\n----\n----Roselawn\n----\n----Runnymede, Swansea\n----\n----St. James Town\n----\n----St. James Town, Cabbagetown\n----\n----Stn A PO Boxes\n----\n----Studio District\n----\n----Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n----\n----The Annex, North Midtown, Yorkville\n----\n----The Beaches\n----\n----The Danforth West, Riverdale\n----\n----Toronto Dominion Centre, Design Exchange\n----\n----University of Toronto, Harbord\n----\n"
                }
            ],
            "source": "num_top_venues = 5\n\nfor hood in to_grouped['Neighborhood']:\n    print(\"----\"+hood+\"----\")\n    temp = to_grouped[to_grouped['Neighborhood'] == hood].T.reset_index()\n    temp.columns = ['venue','freq']\n    temp = temp.iloc[1:]\n    temp['freq'] = temp['freq'].astype(float)\n    temp = temp.round({'freq': 2})"
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "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": "markdown",
            "metadata": {},
            "source": "#### Let's take a look at our dataframe"
        },
        {
            "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>Neighborhood</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>Berczy Park</td>\n      <td>Cafeteria</td>\n      <td>Yoga Studio</td>\n      <td>Cuban Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Curling Ice</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Brockton, Parkdale Village, Exhibition Place</td>\n      <td>Caf\u00e9</td>\n      <td>Coffee Shop</td>\n      <td>Bakery</td>\n      <td>Yoga Studio</td>\n      <td>Brewery</td>\n      <td>Seafood Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Cheese Shop</td>\n      <td>Park</td>\n      <td>Comfort Food Restaurant</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Business reply mail Processing Centre, South C...</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Mobile Phone Shop</td>\n      <td>Bus Line</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Curling Ice</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>Light Rail Station</td>\n      <td>Garden</td>\n      <td>Auto Workshop</td>\n      <td>Brewery</td>\n      <td>Spa</td>\n      <td>Burrito Place</td>\n      <td>Restaurant</td>\n      <td>Farmers Market</td>\n      <td>Fast Food Restaurant</td>\n      <td>Butcher</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Central Bay Street</td>\n      <td>Pizza Place</td>\n      <td>Bank</td>\n      <td>Pharmacy</td>\n      <td>Coffee Shop</td>\n      <td>College Stadium</td>\n      <td>Curling Ice</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "                                        Neighborhood 1st Most Common Venue  \\\n0                                       Berczy Park\n             Cafeteria   \n1      Brockton, Parkdale Village, Exhibition Place\n                  Caf\u00e9   \n2  Business reply mail Processing Centre, South C...           Pizza Place   \n3  CN Tower, King and Spadina, Railway Lands, Har...    Light Rail Station   \n4                                Central Bay Street\n           Pizza Place   \n\n  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n0           Yoga Studio      Cuban Restaurant            Donut Shop   \n1           Coffee Shop                Bakery           Yoga Studio   \n2        Sandwich Place     Mobile Phone Shop              Bus Line   \n3                Garden         Auto Workshop               Brewery   \n4                  Bank              Pharmacy           Coffee Shop   \n\n  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n0               Dog Run        Discount Store                 Diner   \n1               Brewery    Seafood Restaurant        Sandwich Place   \n2               Dog Run        Discount Store                 Diner   \n3                   Spa         Burrito Place            Restaurant   \n4       College Stadium           Curling Ice            Donut Shop   \n\n  8th Most Common Venue 9th Most Common Venue   10th Most Common Venue  \n0          Dessert Shop         Deli / Bodega              Curling Ice  \n1           Cheese Shop                  Park  Comfort Food Restaurant  \n2          Dessert Shop         Deli / Bodega              Curling Ice  \n3        Farmers Market  Fast Food Restaurant                  Butcher  \n4               Dog Run        Discount Store                    Diner  "
                    },
                    "execution_count": 30,
                    "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 = ['Neighborhood']\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['Neighborhood'] = to_grouped['Neighborhood']\n\nfor ind in np.arange(to_grouped.shape[0]):\n    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(to_grouped.iloc[ind, :], num_top_venues)\n\nneighborhoods_venues_sorted.head()"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Let's proceed with the Clustering.\nI tried different k, but everytime the bigger cluster was the one with a park and a cafe place in the first positions."
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": "array([3, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)"
                    },
                    "execution_count": 31,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "# set number of clusters\nkclusters = 5\n\nto_grouped_clustering = to_grouped.drop('Neighborhood', 1)\n\n# run k-means clustering\nkmeans = KMeans(n_clusters=kclusters, random_state=0).fit(to_grouped_clustering)\n\n# check cluster labels generated for each row in the dataframe\nkmeans.labels_[0:10] "
        },
        {
            "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</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>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.763573</td>\n      <td>-79.188711</td>\n      <td>0</td>\n      <td>Intersection</td>\n      <td>Breakfast Spot</td>\n      <td>Electronics Store</td>\n      <td>Mexican Restaurant</td>\n      <td>Rental Car Location</td>\n      <td>Bank</td>\n      <td>Medical Center</td>\n      <td>Curling Ice</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M7A</td>\n      <td>Downtown Toronto</td>\n      <td>Queen's Park, Ontario Provincial Government</td>\n      <td>43.773136</td>\n      <td>-79.239476</td>\n      <td>0</td>\n      <td>Gas Station</td>\n      <td>Fried Chicken Joint</td>\n      <td>Bank</td>\n      <td>Bakery</td>\n      <td>Thai Restaurant</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Caribbean Restaurant</td>\n      <td>Hakka Restaurant</td>\n      <td>Coworking Space</td>\n      <td>Creperie</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Garden District, Ryerson</td>\n      <td>43.692657</td>\n      <td>-79.264848</td>\n      <td>0</td>\n      <td>General Entertainment</td>\n      <td>Skating Rink</td>\n      <td>Caf\u00e9</td>\n      <td>College Stadium</td>\n      <td>Garden</td>\n      <td>Creperie</td>\n      <td>Discount Store</td>\n      <td>Garden Center</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M5C</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town</td>\n      <td>43.799525</td>\n      <td>-79.318389</td>\n      <td>0</td>\n      <td>Chinese Restaurant</td>\n      <td>Fast Food Restaurant</td>\n      <td>Grocery Store</td>\n      <td>Pharmacy</td>\n      <td>Gym Pool</td>\n      <td>Pizza Place</td>\n      <td>Cosmetics Shop</td>\n      <td>Sandwich Place</td>\n      <td>Breakfast Spot</td>\n      <td>Bank</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5E</td>\n      <td>Downtown Toronto</td>\n      <td>Berczy Park</td>\n      <td>43.757490</td>\n      <td>-79.374714</td>\n      <td>3</td>\n      <td>Cafeteria</td>\n      <td>Yoga Studio</td>\n      <td>Cuban Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Curling Ice</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "  Postal Code            Borough  \\\n0        M5A\n  Downtown Toronto\n   \n1        M7A\n  Downtown Toronto\n   \n2        M5B\n  Downtown Toronto\n   \n3        M5C\n  Downtown Toronto\n   \n4        M5E\n  Downtown Toronto\n   \n\n                                   Neighborhood   Latitude  Longitude  \\\n0                    Regent Park, Harbourfront\n  43.763573 -79.188711   \n1  Queen's Park, Ontario Provincial Government\n  43.773136 -79.239476   \n2                     Garden District, Ryerson\n  43.692657 -79.264848   \n3                               St. James Town\n  43.799525 -79.318389   \n4                                  Berczy Park\n  43.757490 -79.374714   \n\n   Cluster Labels  1st Most Common Venue 2nd Most Common Venue  \\\n0               0           Intersection        Breakfast Spot   \n1               0            Gas Station   Fried Chicken Joint   \n2               0  General Entertainment          Skating Rink   \n3               0     Chinese Restaurant  Fast Food Restaurant   \n4               3              Cafeteria           Yoga Studio   \n\n  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n0     Electronics Store    Mexican Restaurant   Rental Car Location   \n1                  Bank                Bakery       Thai Restaurant   \n2                  Caf\u00e9       College Stadium                Garden   \n3         Grocery Store              Pharmacy              Gym Pool   \n4      Cuban Restaurant            Donut Shop               Dog Run   \n\n  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n0                  Bank        Medical Center           Curling Ice   \n1    Athletics & Sports  Caribbean Restaurant      Hakka Restaurant   \n2              Creperie        Discount Store         Garden Center   \n3           Pizza Place        Cosmetics Shop        Sandwich Place   \n4        Discount Store                 Diner          Dessert Shop   \n\n  9th Most Common Venue 10th Most Common Venue  \n0               Dog Run         Discount Store  \n1       Coworking Space               Creperie  \n2                 Diner           Dessert Shop  \n3        Breakfast Spot                   Bank  \n4         Deli / Bodega            Curling Ice  "
                    },
                    "execution_count": 32,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "# add clustering labels\nneighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n\nto_merged = toronto_data\n\n# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\nto_merged = to_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n\nto_merged.head() # check the last columns!"
        },
        {
            "cell_type": "code",
            "execution_count": 33,
            "metadata": {
                "scrolled": true
            },
            "outputs": [
                {
                    "data": {
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            circle_marker_9b6094e3b9934855ad05a79b06016150.bindPopup(popup_42a2c5ac9f6746c8bffd7b7627826858);

            
        
    
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            var popup_23dc8574e24140988baca37bff96f386 = L.popup({maxWidth: '300'});

            
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                ).addTo(map_9c76ba6c6ad641c7b6d7f0e099e61514);
            
    
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                var html_1928099af4e243a98bc432ba41e3baf6 = $('<div id="html_1928099af4e243a98bc432ba41e3baf6" style="width: 100.0%; height: 100.0%;">North Toronto West,  Lawrence Park  Cluster 0</div>')[0];
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            circle_marker_09371cf77fba499cbf8be6076614bf05.bindPopup(popup_d9e41b80e310415091672fe7c2a66f26);

            
        
    
            var circle_marker_9e7c943192794869b2d678ad715620fe = L.circleMarker(
                [43.6890256,-79.453512],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9c76ba6c6ad641c7b6d7f0e099e61514);
            
    
            var popup_6e6858060f25433b81a4e47cfac2f638 = L.popup({maxWidth: '300'});

            
                var html_ae63e4cbff2f4d1ea79bd2106581fad9 = $('<div id="html_ae63e4cbff2f4d1ea79bd2106581fad9" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville  Cluster 0</div>')[0];
                popup_6e6858060f25433b81a4e47cfac2f638.setContent(html_ae63e4cbff2f4d1ea79bd2106581fad9);
            

            circle_marker_9e7c943192794869b2d678ad715620fe.bindPopup(popup_6e6858060f25433b81a4e47cfac2f638);

            
        
    
            var circle_marker_ce29d655db284df8a6ddf0a3b2447667 = L.circleMarker(
                [43.713756200000006,-79.4900738],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9c76ba6c6ad641c7b6d7f0e099e61514);
            
    
            var popup_645f3fd4dcaa4ed88242776160387340 = L.popup({maxWidth: '300'});

            
                var html_26a04a5b774d40fd9164cf4797930ccb = $('<div id="html_26a04a5b774d40fd9164cf4797930ccb" style="width: 100.0%; height: 100.0%;">Davisville  Cluster 0</div>')[0];
                popup_645f3fd4dcaa4ed88242776160387340.setContent(html_26a04a5b774d40fd9164cf4797930ccb);
            

            circle_marker_ce29d655db284df8a6ddf0a3b2447667.bindPopup(popup_645f3fd4dcaa4ed88242776160387340);

            
        
    
            var circle_marker_1e0a10c65daa47249a89d8dab5ff6bb7 = L.circleMarker(
                [43.6489597,-79.456325],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9c76ba6c6ad641c7b6d7f0e099e61514);
            
    
            var popup_927fc334e2ca4efa8ef8016d15f6e6d8 = L.popup({maxWidth: '300'});

            
                var html_c9c3a2a837d2479293c98203eac2760d = $('<div id="html_c9c3a2a837d2479293c98203eac2760d" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East  Cluster 0</div>')[0];
                popup_927fc334e2ca4efa8ef8016d15f6e6d8.setContent(html_c9c3a2a837d2479293c98203eac2760d);
            

            circle_marker_1e0a10c65daa47249a89d8dab5ff6bb7.bindPopup(popup_927fc334e2ca4efa8ef8016d15f6e6d8);

            
        
    
            var circle_marker_9b0240b928684361976fa02b2cbaa268 = L.circleMarker(
                [43.6369656,-79.61581899999999],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9c76ba6c6ad641c7b6d7f0e099e61514);
            
    
            var popup_e75db559ddb74aa28c9bc783d7fc8334 = L.popup({maxWidth: '300'});

            
                var html_f7c3f1902245474b9e7fec25ce92afc5 = $('<div id="html_f7c3f1902245474b9e7fec25ce92afc5" style="width: 100.0%; height: 100.0%;">Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park  Cluster 0</div>')[0];
                popup_e75db559ddb74aa28c9bc783d7fc8334.setContent(html_f7c3f1902245474b9e7fec25ce92afc5);
            

            circle_marker_9b0240b928684361976fa02b2cbaa268.bindPopup(popup_e75db559ddb74aa28c9bc783d7fc8334);

            
        
</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 0x7fc9f94564a8>"
                    },
                    "execution_count": 33,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "# create map\nmap_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n\n# set color scheme for the clusters\nx = np.arange(kclusters)\nys = [i + x + (i*x)**2 for i in range(kclusters)]\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(to_merged['Latitude'], to_merged['Longitude'], to_merged['Neighborhood'], to_merged['Cluster Labels']):\n    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n    folium.CircleMarker(\n        [lat, lon],\n        radius=5,\n        popup=label,\n        color=rainbow[cluster-1],\n        fill=True,\n        fill_color=rainbow[cluster-1],\n        fill_opacity=0.7).add_to(map_clusters)\n       \nmap_clusters"
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": "### Let's verify my assumption"
        },
        {
            "cell_type": "code",
            "execution_count": 37,
            "metadata": {
                "scrolled": true
            },
            "outputs": [
                {
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>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>Downtown Toronto</td>\n      <td>0</td>\n      <td>Intersection</td>\n      <td>Breakfast Spot</td>\n      <td>Electronics Store</td>\n      <td>Mexican Restaurant</td>\n      <td>Rental Car Location</td>\n      <td>Bank</td>\n      <td>Medical Center</td>\n      <td>Curling Ice</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Gas Station</td>\n      <td>Fried Chicken Joint</td>\n      <td>Bank</td>\n      <td>Bakery</td>\n      <td>Thai Restaurant</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Caribbean Restaurant</td>\n      <td>Hakka Restaurant</td>\n      <td>Coworking Space</td>\n      <td>Creperie</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>General Entertainment</td>\n      <td>Skating Rink</td>\n      <td>Caf\u00e9</td>\n      <td>College Stadium</td>\n      <td>Garden</td>\n      <td>Creperie</td>\n      <td>Discount Store</td>\n      <td>Garden Center</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Chinese Restaurant</td>\n      <td>Fast Food Restaurant</td>\n      <td>Grocery Store</td>\n      <td>Pharmacy</td>\n      <td>Gym Pool</td>\n      <td>Pizza Place</td>\n      <td>Cosmetics Shop</td>\n      <td>Sandwich Place</td>\n      <td>Breakfast Spot</td>\n      <td>Bank</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Pizza Place</td>\n      <td>Bank</td>\n      <td>Pharmacy</td>\n      <td>Coffee Shop</td>\n      <td>College Stadium</td>\n      <td>Curling Ice</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Yoga Studio</td>\n      <td>Cuban Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Airport</td>\n      <td>Park</td>\n      <td>Snack Place</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Cuban Restaurant</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Bus Stop</td>\n      <td>Pharmacy</td>\n      <td>Beer Store</td>\n      <td>Video Store</td>\n      <td>Skating Rink</td>\n      <td>Cosmetics Shop</td>\n      <td>Curling Ice</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Fast Food Restaurant</td>\n      <td>Gym</td>\n      <td>Brewery</td>\n      <td>Ice Cream Shop</td>\n      <td>Sandwich Place</td>\n      <td>Movie Theater</td>\n      <td>Board Shop</td>\n      <td>Restaurant</td>\n      <td>Italian Restaurant</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Playground</td>\n      <td>Summer Camp</td>\n      <td>Restaurant</td>\n      <td>College Stadium</td>\n      <td>Comfort Food Restaurant</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>College Rec Center</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Discount Store</td>\n      <td>Bar</td>\n      <td>Dog Run</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Curling Ice</td>\n      <td>Cuban Restaurant</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Pizza Place</td>\n      <td>Caf\u00e9</td>\n      <td>Sushi Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Dessert Shop</td>\n      <td>Diner</td>\n      <td>Bookstore</td>\n      <td>Pub</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Light Rail Station</td>\n      <td>Garden</td>\n      <td>Auto Workshop</td>\n      <td>Brewery</td>\n      <td>Spa</td>\n      <td>Burrito Place</td>\n      <td>Restaurant</td>\n      <td>Farmers Market</td>\n      <td>Fast Food Restaurant</td>\n      <td>Butcher</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Fast Food Restaurant</td>\n      <td>Grocery Store</td>\n      <td>Sandwich Place</td>\n      <td>Burger Joint</td>\n      <td>Burrito Place</td>\n      <td>Social Club</td>\n      <td>Hardware Store</td>\n      <td>Bakery</td>\n      <td>Supplement Shop</td>\n      <td>Flower Shop</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>Downtown Toronto</td>\n      <td>0</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Chinese Restaurant</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Intersection</td>\n      <td>Coffee Shop</td>\n      <td>Gaming Cafe</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Curling Ice</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Grocery Store</td>\n      <td>Park</td>\n      <td>Shopping Mall</td>\n      <td>Bank</td>\n      <td>Curling Ice</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Pub</td>\n      <td>Trail</td>\n      <td>Health Food Store</td>\n      <td>Yoga Studio</td>\n      <td>Cuban Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Caf\u00e9</td>\n      <td>Coffee Shop</td>\n      <td>Bakery</td>\n      <td>Yoga Studio</td>\n      <td>Brewery</td>\n      <td>Seafood Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Cheese Shop</td>\n      <td>Park</td>\n      <td>Comfort Food Restaurant</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Caf\u00e9</td>\n      <td>Beer Bar</td>\n      <td>Seafood Restaurant</td>\n      <td>Restaurant</td>\n      <td>Cocktail Bar</td>\n      <td>Bakery</td>\n      <td>Hotel</td>\n      <td>Creperie</td>\n      <td>Jazz Club</td>\n      <td>Farmers Market</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Grocery Store</td>\n      <td>Caf\u00e9</td>\n      <td>Park</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Nightclub</td>\n      <td>Diner</td>\n      <td>Restaurant</td>\n      <td>Candy Store</td>\n      <td>Italian Restaurant</td>\n      <td>Baby Store</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>West Toronto</td>\n      <td>0</td>\n      <td>Pizza Place</td>\n      <td>Grocery Store</td>\n      <td>Convenience Store</td>\n      <td>Bus Line</td>\n      <td>Curling Ice</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Japanese Restaurant</td>\n      <td>Chinese Restaurant</td>\n      <td>Bank</td>\n      <td>Caf\u00e9</td>\n      <td>Deli / Bodega</td>\n      <td>Eastern European Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Greek Restaurant</td>\n      <td>Ice Cream Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Yoga Studio</td>\n      <td>Pizza Place</td>\n      <td>Brewery</td>\n      <td>Bubble Tea Shop</td>\n      <td>Restaurant</td>\n      <td>Pub</td>\n      <td>Caribbean Restaurant</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Dessert Shop</td>\n      <td>Coffee Shop</td>\n      <td>Sushi Restaurant</td>\n      <td>Pizza Place</td>\n      <td>Caf\u00e9</td>\n      <td>Italian Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Gym</td>\n      <td>Pharmacy</td>\n      <td>Restaurant</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Caf\u00e9</td>\n      <td>Coffee Shop</td>\n      <td>Theater</td>\n      <td>Sporting Goods Shop</td>\n      <td>Shopping Mall</td>\n      <td>Sandwich Place</td>\n      <td>Restaurant</td>\n      <td>Hotel</td>\n      <td>Ramen Restaurant</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Mobile Phone Shop</td>\n      <td>Bus Line</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n      <td>Curling Ice</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Caf\u00e9</td>\n      <td>Coffee Shop</td>\n      <td>Gastropub</td>\n      <td>Restaurant</td>\n      <td>Deli / Bodega</td>\n      <td>Japanese Restaurant</td>\n      <td>Bookstore</td>\n      <td>Sandwich Place</td>\n      <td>Seafood Restaurant</td>\n      <td>Hotel</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Sushi Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Restaurant</td>\n      <td>Thai Restaurant</td>\n      <td>Grocery Store</td>\n      <td>Comfort Food Restaurant</td>\n      <td>Hobby Shop</td>\n      <td>Butcher</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Caf\u00e9</td>\n      <td>Bakery</td>\n      <td>Vietnamese Restaurant</td>\n      <td>Mexican Restaurant</td>\n      <td>Fish Market</td>\n      <td>Record Shop</td>\n      <td>Jazz Club</td>\n      <td>Donut Shop</td>\n      <td>Belgian Restaurant</td>\n      <td>Farmers Market</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Airport Service</td>\n      <td>Airport Lounge</td>\n      <td>Airport</td>\n      <td>Harbor / Marina</td>\n      <td>Bar</td>\n      <td>Boat or Ferry</td>\n      <td>Plane</td>\n      <td>Coffee Shop</td>\n      <td>Sculpture Garden</td>\n      <td>Airport Terminal</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Field</td>\n      <td>Hockey Arena</td>\n      <td>Trail</td>\n      <td>Yoga Studio</td>\n      <td>Cuban Restaurant</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Women's Store</td>\n      <td>Pool</td>\n      <td>Yoga Studio</td>\n      <td>Creperie</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Park</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Basketball Court</td>\n      <td>Bakery</td>\n      <td>Yoga Studio</td>\n      <td>Deli / Bodega</td>\n      <td>Eastern European Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Breakfast Spot</td>\n      <td>Gift Shop</td>\n      <td>Coffee Shop</td>\n      <td>Cuban Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Dog Run</td>\n      <td>Bar</td>\n      <td>Dessert Shop</td>\n      <td>Restaurant</td>\n      <td>Bookstore</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>Central Toronto</td>\n      <td>0</td>\n      <td>Coffee Shop</td>\n      <td>Hotel</td>\n      <td>Intersection</td>\n      <td>Fried Chicken Joint</td>\n      <td>Burrito Place</td>\n      <td>American Restaurant</td>\n      <td>Gym</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Sandwich Place</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "              Borough  Cluster Labels  1st Most Common Venue  \\\n0   Downtown Toronto\n               0           Intersection   \n1   Downtown Toronto\n               0            Gas Station   \n2   Downtown Toronto\n               0  General Entertainment   \n3   Downtown Toronto\n               0     Chinese Restaurant   \n5   Downtown Toronto\n               0            Pizza Place   \n6   Downtown Toronto\n               0                   Park   \n7   Downtown Toronto\n               0                Airport   \n8   Downtown Toronto\n               0                   Park   \n9   Downtown Toronto\n               0                   Park   \n10  Downtown Toronto\n               0                   Park   \n11  Downtown Toronto\n               0             Restaurant   \n12  Downtown Toronto\n               0            Pizza Place   \n13  Downtown Toronto\n               0     Light Rail Station   \n15  Downtown Toronto\n               0   Fast Food Restaurant   \n18  Downtown Toronto\n               0            Pizza Place   \n19      West Toronto\n               0          Grocery Store   \n20      West Toronto\n               0                    Pub   \n21      West Toronto\n               0                   Caf\u00e9   \n22      West Toronto\n               0                   Caf\u00e9   \n23      West Toronto\n               0          Grocery Store   \n24      West Toronto\n               0            Pizza Place   \n25      East Toronto\n               0    Japanese Restaurant   \n26      East Toronto\n               0       Greek Restaurant   \n27      East Toronto\n               0           Dessert Shop   \n28      East Toronto\n               0                   Caf\u00e9   \n29      East Toronto\n               0            Pizza Place   \n30   Central Toronto\n               0                   Caf\u00e9   \n31   Central Toronto\n               0       Sushi Restaurant   \n32   Central Toronto\n               0                   Caf\u00e9   \n33   Central Toronto\n               0        Airport Service   \n34   Central Toronto\n               0                   Park   \n35   Central Toronto\n               0                   Park   \n36   Central Toronto\n               0                   Park   \n37   Central Toronto\n               0         Breakfast Spot   \n38   Central Toronto\n               0            Coffee Shop   \n\n         2nd Most Common Venue  3rd Most Common Venue  \\\n0               Breakfast Spot      Electronics Store   \n1          Fried Chicken Joint                   Bank   \n2                 Skating Rink                   Caf\u00e9   \n3         Fast Food Restaurant          Grocery Store   \n5                         Bank               Pharmacy   \n6            Food & Drink Shop            Yoga Studio   \n7                         Park            Snack Place   \n8                     Bus Stop               Pharmacy   \n9         Fast Food Restaurant                    Gym   \n10                  Playground            Summer Camp   \n11              Sandwich Place         Discount Store   \n12                        Caf\u00e9       Sushi Restaurant   \n13                      Garden          Auto Workshop   \n15               Grocery Store         Sandwich Place   \n18              Sandwich Place     Chinese Restaurant   \n19                        Park          Shopping Mall   \n20                       Trail      Health Food Store   \n21                 Coffee Shop                 Bakery   \n22                    Beer Bar     Seafood Restaurant   \n23                        Caf\u00e9                   Park   \n24               Grocery Store      Convenience Store   \n25          Chinese Restaurant                   Bank   \n26              Ice Cream Shop     Italian Restaurant   \n27                 Coffee Shop       Sushi Restaurant   \n28                 Coffee Shop                Theater   \n29              Sandwich Place      Mobile Phone Shop   \n30                 Coffee Shop              Gastropub   \n31                 Coffee Shop     Italian Restaurant   \n32                      Bakery  Vietnamese Restaurant   \n33              Airport Lounge                Airport   \n34                       Field           Hockey Arena   \n35               Women's Store                   Pool   \n36  Construction & Landscaping       Basketball Court   \n37                   Gift Shop            Coffee Shop   \n38                       Hotel           Intersection   \n\n         4th Most Common Venue 5th Most Common Venue  \\\n0           Mexican Restaurant   Rental Car Location   \n1                       Bakery       Thai Restaurant   \n2              College Stadium                Garden   \n3                     Pharmacy              Gym Pool   \n5                  Coffee Shop       College Stadium   \n6             Cuban Restaurant            Donut Shop   \n7   Construction & Landscaping      Cuban Restaurant   \n8                   Beer Store           Video Store   \n9                      Brewery        Ice Cream Shop   \n10                  Restaurant       College Stadium   \n11                         Bar               Dog Run   \n12                 Coffee Shop    Italian Restaurant   \n13                     Brewery                   Spa   \n15                Burger Joint         Burrito Place   \n18   Middle Eastern Restaurant          Intersection   \n19                        Bank           Curling Ice   \n20                 Yoga Studio      Cuban Restaurant   \n21                 Yoga Studio               Brewery   \n22                  Restaurant          Cocktail Bar   \n23          Athletics & Sports             Nightclub   \n24                    Bus Line           Curling Ice   \n25                        Caf\u00e9         Deli / Bodega   \n26                 Yoga Studio           Pizza Place   \n27                 Pizza Place                  Caf\u00e9   \n28         Sporting Goods Shop         Shopping Mall   \n29                    Bus Line               Dog Run   \n30                  Restaurant         Deli / Bodega   \n31              Sandwich Place            Restaurant   \n32          Mexican Restaurant           Fish Market   \n33             Harbor / Marina                   Bar   \n34                       Trail           Yoga Studio   \n35                 Yoga Studio              Creperie   \n36                      Bakery           Yoga Studio   \n37            Cuban Restaurant    Italian Restaurant   \n38         Fried Chicken Joint         Burrito Place   \n\n          6th Most Common Venue        7th Most Common Venue  \\\n0                          Bank               Medical Center   \n1            Athletics & Sports         Caribbean Restaurant   \n2                      Creperie               Discount Store   \n3                   Pizza Place               Cosmetics Shop   \n5                   Curling Ice                   Donut Shop   \n6                       Dog Run               Discount Store   \n7                       Dog Run               Discount Store   \n8                  Skating Rink               Cosmetics Shop   \n9                Sandwich Place                Movie Theater   \n10      Comfort Food Restaurant               Discount Store   \n11                        Diner                 Dessert Shop   \n12               Sandwich Place                 Dessert Shop   \n13                Burrito Place                   Restaurant   \n15                  Social Club               Hardware Store   \n18                  Coffee Shop                  Gaming Cafe   \n19                   Donut Shop                      Dog Run   \n20                   Donut Shop                      Dog Run   \n21           Seafood Restaurant               Sandwich Place   \n22                       Bakery                        Hotel   \n23                        Diner                   Restaurant   \n24                   Donut Shop                      Dog Run   \n25  Eastern European Restaurant                   Donut Shop   \n26                      Brewery              Bubble Tea Shop   \n27           Italian Restaurant               Sandwich Place   \n28               Sandwich Place                   Restaurant   \n29               Discount Store                        Diner   \n30          Japanese Restaurant                    Bookstore   \n31              Thai Restaurant                Grocery Store   \n32                  Record Shop                    Jazz Club   \n33                Boat or Ferry                        Plane   \n34             Cuban Restaurant                      Dog Run   \n35                      Dog Run               Discount Store   \n36                Deli / Bodega  Eastern European Restaurant   \n37                      Dog Run                          Bar   \n38          American Restaurant                          Gym   \n\n        8th Most Common Venue     9th Most Common Venue  \\\n0                 Curling Ice                   Dog Run   \n1            Hakka Restaurant           Coworking Space   \n2               Garden Center                     Diner   \n3              Sandwich Place            Breakfast Spot   \n5                     Dog Run            Discount Store   \n6                       Diner              Dessert Shop   \n7                       Diner              Dessert Shop   \n8                 Curling Ice            Discount Store   \n9                  Board Shop                Restaurant   \n10                      Diner              Dessert Shop   \n11              Deli / Bodega               Curling Ice   \n12                      Diner                 Bookstore   \n13             Farmers Market      Fast Food Restaurant   \n15                     Bakery           Supplement Shop   \n18               Dessert Shop             Deli / Bodega   \n19             Discount Store                     Diner   \n20             Discount Store                     Diner   \n21                Cheese Shop                      Park   \n22                   Creperie                 Jazz Club   \n23                Candy Store        Italian Restaurant   \n24             Discount Store                     Diner   \n25                    Dog Run            Discount Store   \n26                 Restaurant                       Pub   \n27                        Gym                  Pharmacy   \n28                      Hotel          Ramen Restaurant   \n29               Dessert Shop             Deli / Bodega   \n30             Sandwich Place        Seafood Restaurant   \n31    Comfort Food Restaurant                Hobby Shop   \n32                 Donut Shop        Belgian Restaurant   \n33                Coffee Shop          Sculpture Garden   \n34             Discount Store                     Diner   \n35                      Diner              Dessert Shop   \n36                 Donut Shop                   Dog Run   \n37               Dessert Shop                Restaurant   \n38  Middle Eastern Restaurant  Mediterranean Restaurant   \n\n     10th Most Common Venue  \n0            Discount Store  \n1                  Creperie  \n2              Dessert Shop  \n3                      Bank  \n5                     Diner  \n6             Deli / Bodega  \n7             Deli / Bodega  \n8                     Diner  \n9        Italian Restaurant  \n10       College Rec Center  \n11         Cuban Restaurant  \n12                      Pub  \n13                  Butcher  \n15              Flower Shop  \n18              Curling Ice  \n19             Dessert Shop  \n20             Dessert Shop  \n21  Comfort Food Restaurant  \n22           Farmers Market  \n23               Baby Store  \n24             Dessert Shop  \n25                    Diner  \n26     Caribbean Restaurant  \n27               Restaurant  \n28             Burger Joint  \n29              Curling Ice  \n30                    Hotel  \n31                  Butcher  \n32           Farmers Market  \n33         Airport Terminal  \n34             Dessert Shop  \n35            Deli / Bodega  \n36           Discount Store  \n37                Bookstore  \n38           Sandwich Place  "
                    },
                    "execution_count": 37,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "to_merged.loc[to_merged['Cluster Labels'] == 0, to_merged.columns[[1] + list(range(5, to_merged.shape[1]))]]"
        },
        {
            "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>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>17</th>\n      <td>Downtown Toronto</td>\n      <td>1</td>\n      <td>Baseball Field</td>\n      <td>Yoga Studio</td>\n      <td>Curling Ice</td>\n      <td>Eastern European Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n      <td>Deli / Bodega</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "              Borough  Cluster Labels 1st Most Common Venue  \\\n17  Downtown Toronto\n               1        Baseball Field   \n\n   2nd Most Common Venue 3rd Most Common Venue        4th Most Common Venue  \\\n17           Yoga Studio           Curling Ice  Eastern European Restaurant   \n\n   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n17            Donut Shop               Dog Run        Discount Store   \n\n   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n17                 Diner          Dessert Shop          Deli / Bodega  "
                    },
                    "execution_count": 35,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "to_merged.loc[to_merged['Cluster Labels'] == 1, to_merged.columns[[1] + list(range(5, to_merged.shape[1]))]]"
        },
        {
            "cell_type": "code",
            "execution_count": 36,
            "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>14</th>\n      <td>Downtown Toronto</td>\n      <td>4</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Baseball Field</td>\n      <td>Yoga Studio</td>\n      <td>Curling Ice</td>\n      <td>Eastern European Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dog Run</td>\n      <td>Discount Store</td>\n      <td>Diner</td>\n      <td>Dessert Shop</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
                        "text/plain": "              Borough  Cluster Labels       1st Most Common Venue  \\\n14  Downtown Toronto\n               4  Construction & Landscaping   \n\n   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n14        Baseball Field           Yoga Studio           Curling Ice   \n\n          5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n14  Eastern European Restaurant            Donut Shop               Dog Run   \n\n   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n14        Discount Store                 Diner           Dessert Shop  "
                    },
                    "execution_count": 36,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": "to_merged.loc[to_merged['Cluster Labels'] == 4, to_merged.columns[[1] + list(range(5, to_merged.shape[1]))]]"
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": ""
        }
    ],
    "metadata": {
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