Peer-graded Assignment Part 3.ipynb

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    "cells": [
        {
            "source": "### Peer-graded Assignment: Part 3", 
            "cell_type": "markdown", 
            "metadata": {
                "collapsed": true
            }
        }, 
        {
            "source": "### Importing the libraries needed", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 142, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Fetching package metadata .............\nSolving package specifications: .\n\n# All requested packages already installed.\n# packages in environment at /opt/conda/envs/DSX-Python35:\n#\nfolium                    0.5.0                      py_0    conda-forge\n"
                }
            ], 
            "source": "import pandas as pd # library for data analsysis\nimport requests as request # library to handle requests\npd.set_option('display.max_columns', None)\npd.set_option('display.max_rows', None)\nimport numpy as np # library to handle data in a vectorized manner\n# Matplotlib and associated plotting modules\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n# import k-means from clustering stage\nfrom sklearn.cluster import KMeans\n!conda install -c conda-forge folium=0.5.0 --yes\nimport folium # map rendering library"
        }, 
        {
            "source": "### Adding BeautifulSoup library for grabbing the text from the website", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 143, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Requirement not upgraded as not directly required: beautifulsoup4 in /opt/conda/envs/DSX-Python35/lib/python3.5/site-packages\nRequirement not upgraded as not directly required: lxml in /opt/conda/envs/DSX-Python35/lib/python3.5/site-packages\n"
                }
            ], 
            "source": "!pip install beautifulsoup4\n!pip install lxml\nfrom bs4 import BeautifulSoup"
        }, 
        {
            "source": "### Grabbing the text from the website and adding it into an array for later use", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 144, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "wikipedia_link = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\"\nsource = request.get(wikipedia_link).text\nsoup = BeautifulSoup(source, 'lxml')\ntable = soup.find('table')\n\nrows = []\nfor row in table.findAll('tr'):\n    for cell in row.findAll('td'):\n        pincode = cell.p.b.text\n        for index, details in enumerate(cell.findAll('a')):\n            if index == 0:\n                borough = details.string\n                neighborhood = ''\n            elif index == 1:\n                neighborhood = details.string\n            else:\n                neighborhood = neighborhood + ', ' + details.string\n            if (index == len(cell.findAll('a')) - 1):\n                if index == 0:\n                    neighborhood = borough\n                try: \n                    row = [pincode, borough, neighborhood]\n                    rows.append(row)\n                except:\n                    pass"
        }, 
        {
            "source": "### Initializing a dataframe 'neighborhood_df' and adding the data from the rows array", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 145, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 145, 
                    "metadata": {}, 
                    "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>PostalCode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Queen's Park</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  PostalCode           Borough                      Neighborhood\n0        M3A        North York                         Parkwoods\n1        M4A        North York                  Victoria Village\n2        M5A  Downtown Toronto         Regent Park, Harbourfront\n3        M6A        North York  Lawrence Manor, Lawrence Heights\n4        M7A      Queen's Park                      Queen's Park"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "column_names = ['PostalCode', 'Borough', 'Neighborhood'] \n\n# instantiate the dataframe\nneighborhood_df = pd.DataFrame(rows, columns=column_names)\nneighborhood_df.head()"
        }, 
        {
            "execution_count": 146, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 146, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(101, 3)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "neighborhood_df.shape"
        }, 
        {
            "execution_count": 147, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# The code was removed by Watson Studio for sharing."
        }, 
        {
            "source": "### Performed Google API call to convert address tp latitude and longitude", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 148, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "for index, row in neighborhood_df.iterrows():\n    url = 'https://maps.googleapis.com/maps/api/geocode/json?key={}&address={}'.format(API_key, str(str(row['Neighborhood']) + \" \" + str(row['Borough']) + \" \" + str(row['PostalCode'])).replace(\" \", \"%20\") )\n    response = request.get(url).json() # get response\n    geographical_data = response['results'][0]['geometry']['location'] # get geographical coordinates\n    latitude = geographical_data['lat']\n    longitude = geographical_data['lng']\n    neighborhood_df.loc[index,'Latitude'] = latitude \n    neighborhood_df.loc[index,'Longitude'] = longitude "
        }, 
        {
            "execution_count": 149, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": false
            }, 
            "outputs": [
                {
                    "execution_count": 149, 
                    "metadata": {}, 
                    "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>PostalCode</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>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n      <td>43.753259</td>\n      <td>-79.329656</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n      <td>43.725882</td>\n      <td>-79.315572</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.659343</td>\n      <td>-79.365525</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor, Lawrence Heights</td>\n      <td>43.722774</td>\n      <td>-79.450928</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Queen's Park</td>\n      <td>43.662843</td>\n      <td>-79.389638</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n      <td>43.680233</td>\n      <td>-79.539081</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Malvern, Rouge</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M3B</td>\n      <td>North York</td>\n      <td>Don Mills</td>\n      <td>43.745906</td>\n      <td>-79.352188</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M4B</td>\n      <td>East York</td>\n      <td>Parkview Hill, Woodbine Gardens</td>\n      <td>43.706139</td>\n      <td>-79.325415</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Garden District, Ryerson</td>\n      <td>43.657658</td>\n      <td>-79.378802</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  PostalCode           Borough                      Neighborhood   Latitude  \\\n0        M3A        North York                         Parkwoods  43.753259   \n1        M4A        North York                  Victoria Village  43.725882   \n2        M5A  Downtown Toronto         Regent Park, Harbourfront  43.659343   \n3        M6A        North York  Lawrence Manor, Lawrence Heights  43.722774   \n4        M7A      Queen's Park                      Queen's Park  43.662843   \n5        M9A         Etobicoke                  Islington Avenue  43.680233   \n6        M1B       Scarborough                    Malvern, Rouge  43.806686   \n7        M3B        North York                         Don Mills  43.745906   \n8        M4B         East York   Parkview Hill, Woodbine Gardens  43.706139   \n9        M5B  Downtown Toronto          Garden District, Ryerson  43.657658   \n\n   Longitude  \n0 -79.329656  \n1 -79.315572  \n2 -79.365525  \n3 -79.450928  \n4 -79.389638  \n5 -79.539081  \n6 -79.194353  \n7 -79.352188  \n8 -79.325415  \n9 -79.378802  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "neighborhood_df.head(10)"
        }, 
        {
            "source": "### Keeping the data of the neighborhood having keyword 'Toronto'", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 150, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "toronto_df = neighborhood_df[neighborhood_df['Borough'].str.contains(\"Toronto\")].reset_index(drop=True)"
        }, 
        {
            "execution_count": 151, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 151, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(19, 5)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "toronto_df.shape"
        }, 
        {
            "execution_count": 152, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 152, 
                    "metadata": {}, 
                    "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>PostalCode</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>43.659343</td>\n      <td>-79.365525</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Garden District, Ryerson</td>\n      <td>43.657658</td>\n      <td>-79.378802</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5C</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town</td>\n      <td>43.668195</td>\n      <td>-79.373771</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M5E</td>\n      <td>Downtown Toronto</td>\n      <td>Downtown Toronto</td>\n      <td>43.644771</td>\n      <td>-79.373306</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5G</td>\n      <td>Downtown Toronto</td>\n      <td>Bay Street</td>\n      <td>43.655854</td>\n      <td>-79.383778</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M5H</td>\n      <td>Downtown Toronto</td>\n      <td>Richmond, King</td>\n      <td>43.648918</td>\n      <td>-79.378169</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M5J</td>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront, Union Station, Toronto Islands</td>\n      <td>43.638702</td>\n      <td>-79.385741</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M5K</td>\n      <td>Downtown Toronto</td>\n      <td>Toronto Dominion Centre, Design Exchange</td>\n      <td>43.647693</td>\n      <td>-79.380330</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M5L</td>\n      <td>Downtown Toronto</td>\n      <td>Commerce Court, Victoria Hotel</td>\n      <td>43.647906</td>\n      <td>-79.378065</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M4R</td>\n      <td>North Toronto</td>\n      <td>North Toronto</td>\n      <td>43.715383</td>\n      <td>-79.405678</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M5S</td>\n      <td>Downtown Toronto</td>\n      <td>University of Toronto</td>\n      <td>43.662892</td>\n      <td>-79.395656</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M5T</td>\n      <td>Downtown Toronto</td>\n      <td>Kensington Market, Chinatown, Grange Park</td>\n      <td>43.650883</td>\n      <td>-79.397226</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M5V</td>\n      <td>Downtown Toronto</td>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>43.642566</td>\n      <td>-79.387057</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M4W</td>\n      <td>Downtown Toronto</td>\n      <td>Rosedale</td>\n      <td>43.679563</td>\n      <td>-79.377529</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M4X</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town, Cabbagetown</td>\n      <td>43.665752</td>\n      <td>-79.368692</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>M5X</td>\n      <td>Downtown Toronto</td>\n      <td>First Canadian Place, Underground city</td>\n      <td>43.648636</td>\n      <td>-79.381744</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>M4Y</td>\n      <td>Downtown Toronto</td>\n      <td>Church and Wellesley</td>\n      <td>43.665860</td>\n      <td>-79.383160</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "   PostalCode           Borough  \\\n0         M5A  Downtown Toronto   \n1         M5B  Downtown Toronto   \n2         M5C  Downtown Toronto   \n3         M5E  Downtown Toronto   \n4         M5G  Downtown Toronto   \n5         M5H  Downtown Toronto   \n6         M5J  Downtown Toronto   \n7         M5K  Downtown Toronto   \n8         M5L  Downtown Toronto   \n9         M4R     North Toronto   \n10        M5S  Downtown Toronto   \n11        M5T  Downtown Toronto   \n12        M5V  Downtown Toronto   \n13        M4W  Downtown Toronto   \n14        M4X  Downtown Toronto   \n15        M5X  Downtown Toronto   \n16        M4Y  Downtown Toronto   \n\n                                         Neighborhood   Latitude  Longitude  \n0                           Regent Park, Harbourfront  43.659343 -79.365525  \n1                            Garden District, Ryerson  43.657658 -79.378802  \n2                                      St. James Town  43.668195 -79.373771  \n3                                    Downtown Toronto  43.644771 -79.373306  \n4                                          Bay Street  43.655854 -79.383778  \n5                                      Richmond, King  43.648918 -79.378169  \n6        Harbourfront, Union Station, Toronto Islands  43.638702 -79.385741  \n7            Toronto Dominion Centre, Design Exchange  43.647693 -79.380330  \n8                      Commerce Court, Victoria Hotel  43.647906 -79.378065  \n9                                       North Toronto  43.715383 -79.405678  \n10                              University of Toronto  43.662892 -79.395656  \n11          Kensington Market, Chinatown, Grange Park  43.650883 -79.397226  \n12  CN Tower, King and Spadina, Railway Lands, Har...  43.642566 -79.387057  \n13                                           Rosedale  43.679563 -79.377529  \n14                        St. James Town, Cabbagetown  43.665752 -79.368692  \n15             First Canadian Place, Underground city  43.648636 -79.381744  \n16                               Church and Wellesley  43.665860 -79.383160  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "toronto_df = toronto_df.drop_duplicates(subset=['Neighborhood'], keep='first', inplace=False).reset_index(drop=True)\ntoronto_df.head(50)"
        }, 
        {
            "execution_count": 153, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "toronto_latitude = 43.6972285\ntoronto_longitude = -79.396789"
        }, 
        {
            "execution_count": 154, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 154, 
                    "metadata": {}, 
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>", 
                        "text/plain": "<folium.folium.Map at 0x7f48f40bdb00>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "map_toronto = folium.Map(location=[toronto_latitude, toronto_longitude], zoom_start=12)\n\n# add markers to map\nfor lat, lng, borough, neighborhood in zip(toronto_df['Latitude'], toronto_df['Longitude'], toronto_df['Borough'], toronto_df['Neighborhood']):\n    label = '{}, {}'.format(neighborhood, borough)\n    label = folium.Popup(label, parse_html=True)\n    folium.CircleMarker(\n        [lat, lng],\n        radius=5,\n        popup=label,\n        color='blue',\n        fill=True,\n        fill_color='#3186cc',\n        fill_opacity=0.7,\n        parse_html=False).add_to(map_toronto)  \n    \nmap_toronto"
        }, 
        {
            "execution_count": 155, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# The code was removed by Watson Studio for sharing."
        }, 
        {
            "execution_count": 156, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "def getNearbyVenues(names, latitudes, longitudes, radius=500, limit = 100):\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 = request.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)"
        }, 
        {
            "execution_count": 157, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Regent Park, Harbourfront\nGarden District, Ryerson\nSt. James Town\nDowntown Toronto\nBay Street\nRichmond, King\nHarbourfront, Union Station, Toronto Islands\nToronto Dominion Centre, Design Exchange\nCommerce Court, Victoria Hotel\nNorth Toronto\nUniversity of Toronto\nKensington Market, Chinatown, Grange Park\nCN Tower, King and Spadina, Railway Lands, Harbourfront, South Niagara, Island airport\nRosedale\nSt. James Town, Cabbagetown\nFirst Canadian Place, Underground city\nChurch and Wellesley\n"
                }
            ], 
            "source": "toronto_venues = getNearbyVenues(names=toronto_df['Neighborhood'],\n                                   latitudes=toronto_df['Latitude'],\n                                   longitudes=toronto_df['Longitude']\n                                  )"
        }, 
        {
            "execution_count": 158, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "(1188, 7)\n"
                }, 
                {
                    "execution_count": 158, 
                    "metadata": {}, 
                    "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>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  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.659343</td>\n      <td>-79.365525</td>\n      <td>Sukhothai</td>\n      <td>43.658444</td>\n      <td>-79.365681</td>\n      <td>Thai Restaurant</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.659343</td>\n      <td>-79.365525</td>\n      <td>Daniels Spectrum</td>\n      <td>43.660137</td>\n      <td>-79.361808</td>\n      <td>Performing Arts Venue</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.659343</td>\n      <td>-79.365525</td>\n      <td>Regent Park Aquatic Centre</td>\n      <td>43.660600</td>\n      <td>-79.361392</td>\n      <td>Pool</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.659343</td>\n      <td>-79.365525</td>\n      <td>Figs Breakfast &amp; Lunch</td>\n      <td>43.655675</td>\n      <td>-79.364503</td>\n      <td>Breakfast Spot</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Regent Park, Harbourfront</td>\n      <td>43.659343</td>\n      <td>-79.365525</td>\n      <td>Paintbox Bistro</td>\n      <td>43.660050</td>\n      <td>-79.362855</td>\n      <td>Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n0  Regent Park, Harbourfront              43.659343              -79.365525   \n1  Regent Park, Harbourfront              43.659343              -79.365525   \n2  Regent Park, Harbourfront              43.659343              -79.365525   \n3  Regent Park, Harbourfront              43.659343              -79.365525   \n4  Regent Park, Harbourfront              43.659343              -79.365525   \n\n                        Venue  Venue Latitude  Venue Longitude  \\\n0                   Sukhothai       43.658444       -79.365681   \n1            Daniels Spectrum       43.660137       -79.361808   \n2  Regent Park Aquatic Centre       43.660600       -79.361392   \n3      Figs Breakfast & Lunch       43.655675       -79.364503   \n4             Paintbox Bistro       43.660050       -79.362855   \n\n          Venue Category  \n0        Thai Restaurant  \n1  Performing Arts Venue  \n2                   Pool  \n3         Breakfast Spot  \n4             Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "print(toronto_venues.shape)\ntoronto_venues.head()"
        }, 
        {
            "execution_count": 159, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 159, 
                    "metadata": {}, 
                    "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>Bay Street</th>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront, South Niagara, Island airport</th>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n    </tr>\n    <tr>\n      <th>Church and Wellesley</th>\n      <td>89</td>\n      <td>89</td>\n      <td>89</td>\n      <td>89</td>\n      <td>89</td>\n      <td>89</td>\n    </tr>\n    <tr>\n      <th>Commerce Court, Victoria Hotel</th>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>Downtown Toronto</th>\n      <td>56</td>\n      <td>56</td>\n      <td>56</td>\n      <td>56</td>\n      <td>56</td>\n      <td>56</td>\n    </tr>\n    <tr>\n      <th>First Canadian Place, Underground city</th>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>Garden District, Ryerson</th>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>Harbourfront, Union Station, Toronto Islands</th>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n      <td>91</td>\n    </tr>\n    <tr>\n      <th>Kensington Market, Chinatown, Grange Park</th>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>North Toronto</th>\n      <td>19</td>\n      <td>19</td>\n      <td>19</td>\n      <td>19</td>\n      <td>19</td>\n      <td>19</td>\n    </tr>\n    <tr>\n      <th>Regent Park, Harbourfront</th>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n    </tr>\n    <tr>\n      <th>Richmond, King</th>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>Rosedale</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>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n      <td>33</td>\n    </tr>\n    <tr>\n      <th>St. James Town, Cabbagetown</th>\n      <td>55</td>\n      <td>55</td>\n      <td>55</td>\n      <td>55</td>\n      <td>55</td>\n      <td>55</td>\n    </tr>\n    <tr>\n      <th>Toronto Dominion Centre, Design Exchange</th>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n      <td>100</td>\n    </tr>\n    <tr>\n      <th>University of Toronto</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  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                                    Neighborhood Latitude  \\\nNeighborhood                                                                \nBay Street                                                            100   \nCN Tower, King and Spadina, Railway Lands, Harb...                     91   \nChurch and Wellesley                                                   89   \nCommerce Court, Victoria Hotel                                        100   \nDowntown Toronto                                                       56   \nFirst Canadian Place, Underground city                                100   \nGarden District, Ryerson                                              100   \nHarbourfront, Union Station, Toronto Islands                           91   \nKensington Market, Chinatown, Grange Park                             100   \nNorth Toronto                                                          19   \nRegent Park, Harbourfront                                              33   \nRichmond, King                                                        100   \nRosedale                                                                4   \nSt. James Town                                                         33   \nSt. James Town, Cabbagetown                                            55   \nToronto Dominion Centre, Design Exchange                              100   \nUniversity of Toronto                                                  17   \n\n                                                    Neighborhood Longitude  \\\nNeighborhood                                                                 \nBay Street                                                             100   \nCN Tower, King and Spadina, Railway Lands, Harb...                      91   \nChurch and Wellesley                                                    89   \nCommerce Court, Victoria Hotel                                         100   \nDowntown Toronto                                                        56   \nFirst Canadian Place, Underground city                                 100   \nGarden District, Ryerson                                               100   \nHarbourfront, Union Station, Toronto Islands                            91   \nKensington Market, Chinatown, Grange Park                              100   \nNorth Toronto                                                           19   \nRegent Park, Harbourfront                                               33   \nRichmond, King                                                         100   \nRosedale                                                                 4   \nSt. James Town                                                          33   \nSt. James Town, Cabbagetown                                             55   \nToronto Dominion Centre, Design Exchange                               100   \nUniversity of Toronto                                                   17   \n\n                                                    Venue  Venue Latitude  \\\nNeighborhood                                                                \nBay Street                                            100             100   \nCN Tower, King and Spadina, Railway Lands, Harb...     91              91   \nChurch and Wellesley                                   89              89   \nCommerce Court, Victoria Hotel                        100             100   \nDowntown Toronto                                       56              56   \nFirst Canadian Place, Underground city                100             100   \nGarden District, Ryerson                              100             100   \nHarbourfront, Union Station, Toronto Islands           91              91   \nKensington Market, Chinatown, Grange Park             100             100   \nNorth Toronto                                          19              19   \nRegent Park, Harbourfront                              33              33   \nRichmond, King                                        100             100   \nRosedale                                                4               4   \nSt. James Town                                         33              33   \nSt. James Town, Cabbagetown                            55              55   \nToronto Dominion Centre, Design Exchange              100             100   \nUniversity of Toronto                                  17              17   \n\n                                                    Venue Longitude  \\\nNeighborhood                                                          \nBay Street                                                      100   \nCN Tower, King and Spadina, Railway Lands, Harb...               91   \nChurch and Wellesley                                             89   \nCommerce Court, Victoria Hotel                                  100   \nDowntown Toronto                                                 56   \nFirst Canadian Place, Underground city                          100   \nGarden District, Ryerson                                        100   \nHarbourfront, Union Station, Toronto Islands                     91   \nKensington Market, Chinatown, Grange Park                       100   \nNorth Toronto                                                    19   \nRegent Park, Harbourfront                                        33   \nRichmond, King                                                  100   \nRosedale                                                          4   \nSt. James Town                                                   33   \nSt. James Town, Cabbagetown                                      55   \nToronto Dominion Centre, Design Exchange                        100   \nUniversity of Toronto                                            17   \n\n                                                    Venue Category  \nNeighborhood                                                        \nBay Street                                                     100  \nCN Tower, King and Spadina, Railway Lands, Harb...              91  \nChurch and Wellesley                                            89  \nCommerce Court, Victoria Hotel                                 100  \nDowntown Toronto                                                56  \nFirst Canadian Place, Underground city                         100  \nGarden District, Ryerson                                       100  \nHarbourfront, Union Station, Toronto Islands                    91  \nKensington Market, Chinatown, Grange Park                      100  \nNorth Toronto                                                   19  \nRegent Park, Harbourfront                                       33  \nRichmond, King                                                 100  \nRosedale                                                         4  \nSt. James Town                                                  33  \nSt. James Town, Cabbagetown                                     55  \nToronto Dominion Centre, Design Exchange                       100  \nUniversity of Toronto                                           17  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "toronto_venues.groupby('Neighborhood').count()"
        }, 
        {
            "execution_count": 160, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "There are 192 uniques categories.\n"
                }
            ], 
            "source": "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
        }, 
        {
            "execution_count": 161, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# one hot encoding\ntoronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")"
        }, 
        {
            "execution_count": 167, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood']"
        }, 
        {
            "execution_count": 168, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 168, 
                    "metadata": {}, 
                    "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>Yoga Studio</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>American Restaurant</th>\n      <th>Aquarium</th>\n      <th>Arepa Restaurant</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>BBQ Joint</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Field</th>\n      <th>Baseball Stadium</th>\n      <th>Basketball Stadium</th>\n      <th>Beach</th>\n      <th>Bed &amp; Breakfast</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Bistro</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>Building</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Caribbean Restaurant</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Church</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Arts Building</th>\n      <th>College Gym</th>\n      <th>College Rec Center</th>\n      <th>Comedy Club</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Creperie</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Dim Sum Restaurant</th>\n      <th>Diner</th>\n      <th>Dog Run</th>\n      <th>Dumpling Restaurant</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Ethiopian Restaurant</th>\n      <th>Event Space</th>\n      <th>Exhibit</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Hawaiian Restaurant</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hookah Bar</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Indie Movie Theater</th>\n      <th>Irish Pub</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Jewelry Store</th>\n      <th>Juice Bar</th>\n      <th>Lake</th>\n      <th>Library</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Market</th>\n      <th>Martial Arts Dojo</th>\n      <th>Massage Studio</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Men's Store</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Miscellaneous Shop</th>\n      <th>Modern European Restaurant</th>\n      <th>Molecular Gastronomy Restaurant</th>\n      <th>Monument / Landmark</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Venue</th>\n      <th>New American Restaurant</th>\n      <th>Nightclub</th>\n      <th>Noodle House</th>\n      <th>Office</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Pakistani Restaurant</th>\n      <th>Park</th>\n      <th>Performing Arts Venue</th>\n      <th>Persian Restaurant</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Piano Bar</th>\n      <th>Pizza Place</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Pool</th>\n      <th>Pool Hall</th>\n      <th>Poutine Place</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Rental Car Location</th>\n      <th>Rest Area</th>\n      <th>Restaurant</th>\n      <th>Rock Club</th>\n      <th>Sake Bar</th>\n      <th>Salad Place</th>\n      <th>Salon / Barbershop</th>\n      <th>Sandwich Place</th>\n      <th>Scenic Lookout</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Shopping Mall</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Steakhouse</th>\n      <th>Street Art</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</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>Track</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Whisky Bar</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</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>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>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    </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>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>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    </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>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>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    </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>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      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <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      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                        "text/plain": "                Neighborhood  Yoga Studio  Adult Boutique  Afghan Restaurant  \\\n0  Regent Park, Harbourfront            0               0                  0   \n1  Regent Park, Harbourfront            0               0                  0   \n2  Regent Park, Harbourfront            0               0                  0   \n3  Regent Park, Harbourfront            0               0                  0   \n4  Regent Park, Harbourfront            0               0                  0   \n\n   American Restaurant  Aquarium  Arepa Restaurant  Art Gallery  Art Museum  \\\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   Arts & Crafts Store  Asian Restaurant  BBQ Joint  Bagel Shop  Bakery  Bank  \\\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   Bar  Baseball Field  Baseball Stadium  Basketball Stadium  Beach  \\\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   Bed & Breakfast  Beer Bar  Beer Store  Belgian Restaurant  Bistro  \\\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   Boat or Ferry  Bookstore  Breakfast Spot  Brewery  Bubble Tea Shop  \\\n0              0          0               0        0                0   \n1              0          0               0        0                0   \n2              0          0               0        0                0   \n3              0          0               1        0                0   \n4              0          0               0        0                0   \n\n   Building  Burger Joint  Burrito Place  Butcher  Caf\u00e9  Caribbean 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   Cheese Shop  Chinese Restaurant  Church  Clothing Store  Cocktail Bar  \\\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   Coffee Shop  College Arts Building  College Gym  College Rec Center  \\\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   Comedy Club  Comfort Food Restaurant  Comic Shop  Concert Hall  \\\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   Convenience Store  Cosmetics Shop  Creperie  Dance Studio  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   Department Store  Dessert Shop  Dim Sum Restaurant  Diner  Dog Run  \\\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   Dumpling Restaurant  Eastern European Restaurant  Electronics Store  \\\n0                    0                            0                  0   \n1                    0                            0                  0   \n2                    0                            0                  0   \n3                    0                            0                  0   \n4                    0                            0                  0   \n\n   Ethiopian Restaurant  Event Space  Exhibit  Falafel 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   Farmers Market  Fast Food Restaurant  Filipino Restaurant  Fish Market  \\\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   Flower Shop  Food & Drink Shop  Food Court  Food Truck  French Restaurant  \\\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   Fried Chicken Joint  Furniture / Home Store  Gaming Cafe  Gastropub  \\\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   Gay Bar  General Entertainment  General Travel  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  Greek Restaurant  Grocery Store  Gym  \\\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   Gym / Fitness Center  Hawaiian Restaurant  Health & Beauty Service  \\\n0                     0                    0                        0   \n1                     0                    0                        0   \n2                     0                    0                        0   \n3                     0                    0                        0   \n4                     0                    0                        0   \n\n   Historic Site  History Museum  Hobby Shop  Hookah Bar  Hostel  Hotel  \\\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   Hotel Bar  Ice Cream Shop  Indian Restaurant  Indie Movie Theater  \\\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   Irish Pub  Italian Restaurant  Japanese Restaurant  Jazz Club  \\\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   Jewelry Store  Juice Bar  Lake  Library  Lingerie Store  Liquor 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   Lounge  Market  Martial Arts Dojo  Massage Studio  \\\n0       0       0                  0               0   \n1       0       0                  0               0   \n2       0       0                  0               0   \n3       0       0                  0               0   \n4       0       0                  0               0   \n\n   Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n0                         0            0                   0   \n1                         0            0                   0   \n2                         0            0                   0   \n3                         0            0                   0   \n4                         0            0                   0   \n\n   Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n0                          0                   0                           0   \n1                          0                   0                           0   \n2                          0                   0                           0   \n3                          0                   0                           0   \n4                          0                   0                           0   \n\n   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n0                                0                    0              0   \n1                                0                    0              0   \n2                                0                    0              0   \n3                                0                    0              0   \n4                                0                    0              0   \n\n   Museum  Music Venue  New American Restaurant  Nightclub  Noodle House  \\\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   Office  Opera House  Optical Shop  Organic Grocery  Pakistani Restaurant  \\\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   Park  Performing Arts Venue  Persian Restaurant  Pet Store  Pharmacy  \\\n0     0                      0                   0          0         0   \n1     0                      1                   0          0         0   \n2     0                      0                   0          0         0   \n3     0                      0                   0          0         0   \n4     0                      0                   0          0         0   \n\n   Piano Bar  Pizza Place  Playground  Plaza  Pool  Pool Hall  Poutine Place  \\\n0          0            0           0      0     0          0              0   \n1          0            0           0      0     0          0              0   \n2          0            0           0      0     1          0              0   \n3          0            0           0      0     0          0              0   \n4          0            0           0      0     0          0              0   \n\n   Pub  Ramen Restaurant  Record Shop  Rental Car Location  Rest Area  \\\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   Restaurant  Rock Club  Sake Bar  Salad Place  Salon / Barbershop  \\\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           1          0         0            0                   0   \n\n   Sandwich Place  Scenic Lookout  Sculpture Garden  Seafood 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   Shoe Store  Shopping Mall  Skating Rink  Smoke Shop  Snack 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   Soup Place  Spa  Speakeasy  Sporting Goods Shop  Sports Bar  Steakhouse  \\\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   Street Art  Strip Club  Supermarket  Sushi Restaurant  Taco 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   Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\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   Thai Restaurant  Theater  Thrift / Vintage Store  Toy / Game Store  Track  \\\n0                1        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   Trail  Train Station  Vegetarian / Vegan Restaurant  Video Game 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   Vietnamese Restaurant  Whisky Bar  Wine Bar  Wings Joint  \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  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\ntoronto_onehot = toronto_onehot[fixed_columns]\n\ntoronto_onehot.head()"
        }, 
        {
            "execution_count": 169, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 169, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(1188, 192)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "toronto_onehot.shape"
        }, 
        {
            "execution_count": 170, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 170, 
                    "metadata": {}, 
                    "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>Yoga Studio</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>American Restaurant</th>\n      <th>Aquarium</th>\n      <th>Arepa Restaurant</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>BBQ Joint</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</th>\n      <th>Baseball Field</th>\n      <th>Baseball Stadium</th>\n      <th>Basketball Stadium</th>\n      <th>Beach</th>\n      <th>Bed &amp; Breakfast</th>\n      <th>Beer Bar</th>\n      <th>Beer Store</th>\n      <th>Belgian Restaurant</th>\n      <th>Bistro</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>Building</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Caribbean Restaurant</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Church</th>\n      <th>Clothing Store</th>\n      <th>Cocktail Bar</th>\n      <th>Coffee Shop</th>\n      <th>College Arts Building</th>\n      <th>College Gym</th>\n      <th>College Rec Center</th>\n      <th>Comedy Club</th>\n      <th>Comfort Food Restaurant</th>\n      <th>Comic Shop</th>\n      <th>Concert Hall</th>\n      <th>Convenience Store</th>\n      <th>Cosmetics Shop</th>\n      <th>Creperie</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Dim Sum Restaurant</th>\n      <th>Diner</th>\n      <th>Dog Run</th>\n      <th>Dumpling Restaurant</th>\n      <th>Eastern European Restaurant</th>\n      <th>Electronics Store</th>\n      <th>Ethiopian Restaurant</th>\n      <th>Event Space</th>\n      <th>Exhibit</th>\n      <th>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish Market</th>\n      <th>Flower Shop</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Hawaiian Restaurant</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hookah Bar</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Indie Movie Theater</th>\n      <th>Irish Pub</th>\n      <th>Italian Restaurant</th>\n      <th>Japanese Restaurant</th>\n      <th>Jazz Club</th>\n      <th>Jewelry Store</th>\n      <th>Juice Bar</th>\n      <th>Lake</th>\n      <th>Library</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Market</th>\n      <th>Martial Arts Dojo</th>\n      <th>Massage Studio</th>\n      <th>Mediterranean Restaurant</th>\n      <th>Men's Store</th>\n      <th>Mexican Restaurant</th>\n      <th>Middle Eastern Restaurant</th>\n      <th>Miscellaneous Shop</th>\n      <th>Modern European Restaurant</th>\n      <th>Molecular Gastronomy Restaurant</th>\n      <th>Monument / Landmark</th>\n      <th>Movie Theater</th>\n      <th>Museum</th>\n      <th>Music Venue</th>\n      <th>New American Restaurant</th>\n      <th>Nightclub</th>\n      <th>Noodle House</th>\n      <th>Office</th>\n      <th>Opera House</th>\n      <th>Optical Shop</th>\n      <th>Organic Grocery</th>\n      <th>Pakistani Restaurant</th>\n      <th>Park</th>\n      <th>Performing Arts Venue</th>\n      <th>Persian Restaurant</th>\n      <th>Pet Store</th>\n      <th>Pharmacy</th>\n      <th>Piano Bar</th>\n      <th>Pizza Place</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Pool</th>\n      <th>Pool Hall</th>\n      <th>Poutine Place</th>\n      <th>Pub</th>\n      <th>Ramen Restaurant</th>\n      <th>Record Shop</th>\n      <th>Rental Car Location</th>\n      <th>Rest Area</th>\n      <th>Restaurant</th>\n      <th>Rock Club</th>\n      <th>Sake Bar</th>\n      <th>Salad Place</th>\n      <th>Salon / Barbershop</th>\n      <th>Sandwich Place</th>\n      <th>Scenic Lookout</th>\n      <th>Sculpture Garden</th>\n      <th>Seafood Restaurant</th>\n      <th>Shoe Store</th>\n      <th>Shopping Mall</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Steakhouse</th>\n      <th>Street Art</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</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>Track</th>\n      <th>Trail</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Whisky Bar</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Bay Street</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.090000</td>\n      <td>0.000000</td>\n      <td>0.080000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.030000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.032967</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.021978</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.087912</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021978</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.098901</td>\n      <td>0.00</td>\n      <td>0.021978</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.043956</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043956</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.043956</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Church and Wellesley</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.022472</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.022472</td>\n      <td>0.00</td>\n      <td>0.044944</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.022472</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.067416</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022472</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.022472</td>\n      <td>0.044944</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.056180</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.022472</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022472</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.022472</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.033708</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.044944</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.011236</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011236</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Commerce Court, Victoria Hotel</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.030000</td>\n      <td>0.110000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.060000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.040000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Downtown Toronto</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.035714</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.035714</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.035714</td>\n      <td>0.000000</td>\n      <td>0.035714</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.053571</td>\n      <td>0.053571</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.035714</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.035714</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.035714</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.035714</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.017857</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.017857</td>\n      <td>0.017857</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>First Canadian Place, Underground city</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.03</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.070000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.100000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.090000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Garden District, Ryerson</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.060000</td>\n      <td>0.000000</td>\n      <td>0.090000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.02</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Harbourfront, Union Station, Toronto Islands</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.032967</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.010989</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.065934</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.065934</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.043956</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.032967</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021978</td>\n      <td>0.043956</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.021978</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.021978</td>\n      <td>0.010989</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n      <td>0.010989</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Kensington Market, Chinatown, Grange Park</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.02</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.050000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.02</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>North Toronto</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.105263</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.157895</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>Regent Park, Harbourfront</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.090909</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030303</td>\n      <td>0.060606</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.060606</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.090909</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Richmond, King</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.090000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.060000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.050000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.060000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>Rosedale</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.500000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.25</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>St. James Town</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.060606</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.090909</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030303</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.060606</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.090909</td>\n      <td>0.00</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.060606</td>\n      <td>0.030303</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030303</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>St. James Town, Cabbagetown</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.072727</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.072727</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.036364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.036364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.109091</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.018182</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>Toronto Dominion Centre, Design Exchange</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.060000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.130000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.060000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.030000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>University of Toronto</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.294118</td>\n      <td>0.058824</td>\n      <td>0.058824</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.117647</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                         Neighborhood  Yoga Studio  \\\n0                                          Bay Street     0.000000   \n1   CN Tower, King and Spadina, Railway Lands, Har...     0.010989   \n2                                Church and Wellesley     0.011236   \n3                      Commerce Court, Victoria Hotel     0.000000   \n4                                    Downtown Toronto     0.000000   \n5              First Canadian Place, Underground city     0.000000   \n6                            Garden District, Ryerson     0.000000   \n7        Harbourfront, Union Station, Toronto Islands     0.010989   \n8           Kensington Market, Chinatown, Grange Park     0.030000   \n9                                       North Toronto     0.052632   \n10                          Regent Park, Harbourfront     0.030303   \n11                                     Richmond, King     0.000000   \n12                                           Rosedale     0.000000   \n13                                     St. James Town     0.000000   \n14                        St. James Town, Cabbagetown     0.000000   \n15           Toronto Dominion Centre, Design Exchange     0.000000   \n16                              University of Toronto     0.000000   \n\n    Adult Boutique  Afghan Restaurant  American Restaurant  Aquarium  \\\n0         0.000000           0.000000             0.010000  0.000000   \n1         0.000000           0.000000             0.021978  0.032967   \n2         0.011236           0.011236             0.022472  0.000000   \n3         0.000000           0.000000             0.040000  0.000000   \n4         0.000000           0.000000             0.000000  0.000000   \n5         0.000000           0.000000             0.040000  0.000000   \n6         0.000000           0.000000             0.010000  0.000000   \n7         0.000000           0.000000             0.010989  0.032967   \n8         0.010000           0.000000             0.000000  0.000000   \n9         0.000000           0.000000             0.000000  0.000000   \n10        0.000000           0.000000             0.000000  0.000000   \n11        0.000000           0.000000             0.040000  0.000000   \n12        0.000000           0.000000             0.000000  0.000000   \n13        0.000000           0.000000             0.000000  0.000000   \n14        0.000000           0.000000             0.000000  0.000000   \n15        0.000000           0.000000             0.050000  0.000000   \n16        0.000000           0.000000             0.000000  0.000000   \n\n    Arepa Restaurant  Art Gallery  Art Museum  Arts & Crafts Store  \\\n0               0.00     0.010000        0.01             0.000000   \n1               0.00     0.000000        0.00             0.000000   \n2               0.00     0.000000        0.00             0.011236   \n3               0.00     0.010000        0.00             0.000000   \n4               0.00     0.017857        0.00             0.000000   \n5               0.00     0.010000        0.00             0.000000   \n6               0.00     0.010000        0.00             0.000000   \n7               0.00     0.010989        0.00             0.000000   \n8               0.02     0.030000        0.00             0.030000   \n9               0.00     0.000000        0.00             0.000000   \n10              0.00     0.000000        0.00             0.000000   \n11              0.00     0.010000        0.00             0.000000   \n12              0.00     0.000000        0.00             0.000000   \n13              0.00     0.000000        0.00             0.000000   \n14              0.00     0.000000        0.00             0.000000   \n15              0.00     0.010000        0.00             0.000000   \n16              0.00     0.000000        0.00             0.000000   \n\n    Asian Restaurant  BBQ Joint  Bagel Shop    Bakery      Bank       Bar  \\\n0               0.01   0.000000    0.000000  0.020000  0.010000  0.020000   \n1               0.00   0.000000    0.000000  0.000000  0.000000  0.032967   \n2               0.00   0.000000    0.000000  0.000000  0.000000  0.011236   \n3               0.00   0.000000    0.000000  0.020000  0.000000  0.020000   \n4               0.00   0.000000    0.017857  0.035714  0.000000  0.000000   \n5               0.03   0.000000    0.000000  0.020000  0.000000  0.020000   \n6               0.00   0.010000    0.000000  0.010000  0.010000  0.020000   \n7               0.00   0.000000    0.000000  0.000000  0.000000  0.021978   \n8               0.01   0.000000    0.000000  0.010000  0.000000  0.050000   \n9               0.00   0.000000    0.000000  0.000000  0.000000  0.000000   \n10              0.00   0.030303    0.000000  0.000000  0.030303  0.000000   \n11              0.00   0.000000    0.000000  0.020000  0.000000  0.010000   \n12              0.00   0.000000    0.000000  0.000000  0.000000  0.000000   \n13              0.00   0.000000    0.000000  0.030303  0.000000  0.030303   \n14              0.00   0.018182    0.000000  0.036364  0.018182  0.000000   \n15              0.01   0.000000    0.000000  0.030000  0.000000  0.020000   \n16              0.00   0.000000    0.000000  0.000000  0.000000  0.000000   \n\n    Baseball Field  Baseball Stadium  Basketball Stadium     Beach  \\\n0         0.000000          0.000000            0.000000  0.000000   \n1         0.000000          0.021978            0.000000  0.000000   \n2         0.000000          0.000000            0.000000  0.000000   \n3         0.000000          0.000000            0.000000  0.000000   \n4         0.000000          0.000000            0.017857  0.017857   \n5         0.000000          0.000000            0.000000  0.000000   \n6         0.000000          0.000000            0.000000  0.000000   \n7         0.010989          0.032967            0.000000  0.010989   \n8         0.000000          0.000000            0.000000  0.000000   \n9         0.000000          0.000000            0.000000  0.000000   \n10        0.000000          0.000000            0.000000  0.000000   \n11        0.000000          0.000000            0.000000  0.000000   \n12        0.000000          0.000000            0.000000  0.000000   \n13        0.000000          0.000000            0.000000  0.000000   \n14        0.000000          0.000000            0.000000  0.000000   \n15        0.000000          0.000000            0.010000  0.000000   \n16        0.000000          0.000000            0.000000  0.000000   \n\n    Bed & Breakfast  Beer Bar  Beer Store  Belgian Restaurant    Bistro  \\\n0          0.000000  0.010000    0.000000            0.000000  0.000000   \n1          0.000000  0.000000    0.010989            0.000000  0.021978   \n2          0.000000  0.000000    0.000000            0.000000  0.000000   \n3          0.000000  0.020000    0.000000            0.010000  0.000000   \n4          0.000000  0.035714    0.000000            0.017857  0.017857   \n5          0.000000  0.010000    0.000000            0.000000  0.000000   \n6          0.000000  0.010000    0.000000            0.000000  0.000000   \n7          0.000000  0.000000    0.010989            0.000000  0.010989   \n8          0.000000  0.010000    0.000000            0.000000  0.020000   \n9          0.000000  0.000000    0.000000            0.000000  0.000000   \n10         0.000000  0.000000    0.030303            0.000000  0.000000   \n11         0.000000  0.020000    0.000000            0.000000  0.000000   \n12         0.000000  0.000000    0.000000            0.000000  0.000000   \n13         0.030303  0.000000    0.030303            0.000000  0.000000   \n14         0.000000  0.000000    0.018182            0.000000  0.000000   \n15         0.000000  0.010000    0.000000            0.000000  0.000000   \n16         0.000000  0.000000    0.000000            0.000000  0.000000   \n\n    Boat or Ferry  Bookstore  Breakfast Spot   Brewery  Bubble Tea Shop  \\\n0        0.000000   0.010000        0.010000  0.000000         0.020000   \n1        0.000000   0.000000        0.010989  0.021978         0.010989   \n2        0.000000   0.011236        0.011236  0.000000         0.022472   \n3        0.000000   0.010000        0.020000  0.000000         0.000000   \n4        0.000000   0.000000        0.000000  0.000000         0.000000   \n5        0.000000   0.010000        0.010000  0.000000         0.000000   \n6        0.000000   0.010000        0.010000  0.000000         0.010000   \n7        0.065934   0.000000        0.000000  0.032967         0.000000   \n8        0.000000   0.010000        0.000000  0.000000         0.000000   \n9        0.000000   0.000000        0.000000  0.000000         0.000000   \n10       0.000000   0.000000        0.030303  0.000000         0.000000   \n11       0.000000   0.010000        0.020000  0.000000         0.000000   \n12       0.000000   0.000000        0.000000  0.000000         0.000000   \n13       0.000000   0.000000        0.030303  0.000000         0.000000   \n14       0.000000   0.000000        0.018182  0.000000         0.000000   \n15       0.000000   0.010000        0.010000  0.000000         0.000000   \n16       0.000000   0.000000        0.000000  0.000000         0.000000   \n\n    Building  Burger Joint  Burrito Place   Butcher      Caf\u00e9  \\\n0       0.00      0.020000       0.010000  0.000000  0.040000   \n1       0.00      0.010989       0.000000  0.000000  0.021978   \n2       0.00      0.044944       0.011236  0.000000  0.022472   \n3       0.00      0.010000       0.000000  0.000000  0.050000   \n4       0.00      0.017857       0.000000  0.000000  0.035714   \n5       0.01      0.030000       0.000000  0.000000  0.070000   \n6       0.00      0.030000       0.010000  0.000000  0.050000   \n7       0.00      0.000000       0.000000  0.000000  0.032967   \n8       0.00      0.010000       0.000000  0.000000  0.040000   \n9       0.00      0.000000       0.000000  0.000000  0.052632   \n10      0.00      0.000000       0.000000  0.000000  0.090909   \n11      0.00      0.010000       0.000000  0.000000  0.050000   \n12      0.00      0.000000       0.000000  0.000000  0.000000   \n13      0.00      0.000000       0.000000  0.030303  0.060606   \n14      0.00      0.000000       0.000000  0.018182  0.072727   \n15      0.01      0.010000       0.000000  0.000000  0.060000   \n16      0.00      0.000000       0.058824  0.000000  0.058824   \n\n    Caribbean Restaurant  Cheese Shop  Chinese Restaurant  Church  \\\n0               0.000000     0.000000            0.020000    0.00   \n1               0.000000     0.000000            0.000000    0.00   \n2               0.011236     0.000000            0.011236    0.00   \n3               0.000000     0.000000            0.000000    0.01   \n4               0.000000     0.035714            0.000000    0.00   \n5               0.000000     0.000000            0.000000    0.00   \n6               0.000000     0.000000            0.010000    0.00   \n7               0.000000     0.000000            0.010989    0.00   \n8               0.020000     0.010000            0.050000    0.00   \n9               0.000000     0.000000            0.052632    0.00   \n10              0.000000     0.000000            0.030303    0.00   \n11              0.000000     0.000000            0.000000    0.01   \n12              0.000000     0.000000            0.000000    0.00   \n13              0.030303     0.000000            0.000000    0.00   \n14              0.018182     0.000000            0.018182    0.00   \n15              0.000000     0.000000            0.000000    0.00   \n16              0.000000     0.000000            0.000000    0.00   \n\n    Clothing Store  Cocktail Bar  Coffee Shop  College Arts Building  \\\n0         0.090000      0.000000     0.080000               0.000000   \n1         0.000000      0.000000     0.087912               0.000000   \n2         0.000000      0.000000     0.067416               0.000000   \n3         0.010000      0.030000     0.110000               0.000000   \n4         0.017857      0.053571     0.053571               0.000000   \n5         0.000000      0.000000     0.100000               0.000000   \n6         0.060000      0.000000     0.090000               0.000000   \n7         0.000000      0.000000     0.065934               0.000000   \n8         0.000000      0.020000     0.030000               0.000000   \n9         0.052632      0.000000     0.105263               0.000000   \n10        0.000000      0.000000     0.030303               0.000000   \n11        0.010000      0.020000     0.090000               0.000000   \n12        0.000000      0.000000     0.000000               0.000000   \n13        0.000000      0.000000     0.090909               0.000000   \n14        0.000000      0.000000     0.072727               0.000000   \n15        0.000000      0.010000     0.130000               0.000000   \n16        0.000000      0.000000     0.294118               0.058824   \n\n    College Gym  College Rec Center  Comedy Club  Comfort Food Restaurant  \\\n0      0.000000                0.00     0.000000                 0.000000   \n1      0.000000                0.00     0.010989                 0.000000   \n2      0.000000                0.00     0.000000                 0.000000   \n3      0.000000                0.00     0.000000                 0.010000   \n4      0.000000                0.00     0.000000                 0.017857   \n5      0.000000                0.00     0.000000                 0.000000   \n6      0.000000                0.01     0.000000                 0.000000   \n7      0.000000                0.00     0.000000                 0.000000   \n8      0.000000                0.00     0.000000                 0.010000   \n9      0.000000                0.00     0.000000                 0.000000   \n10     0.000000                0.00     0.000000                 0.000000   \n11     0.000000                0.00     0.000000                 0.000000   \n12     0.000000                0.00     0.000000                 0.000000   \n13     0.000000                0.00     0.000000                 0.000000   \n14     0.000000                0.00     0.000000                 0.000000   \n15     0.000000                0.00     0.000000                 0.000000   \n16     0.058824                0.00     0.000000                 0.000000   \n\n    Comic Shop  Concert Hall  Convenience Store  Cosmetics Shop  Creperie  \\\n0         0.01      0.010000           0.000000        0.030000  0.000000   \n1         0.00      0.021978           0.010989        0.000000  0.000000   \n2         0.00      0.000000           0.000000        0.000000  0.011236   \n3         0.00      0.010000           0.000000        0.010000  0.010000   \n4         0.00      0.017857           0.000000        0.017857  0.017857   \n5         0.00      0.020000           0.000000        0.000000  0.000000   \n6         0.01      0.010000           0.000000        0.030000  0.000000   \n7         0.00      0.000000           0.010989        0.000000  0.000000   \n8         0.00      0.000000           0.000000        0.020000  0.010000   \n9         0.00      0.000000           0.000000        0.000000  0.000000   \n10        0.00      0.000000           0.030303        0.000000  0.000000   \n11        0.00      0.010000           0.000000        0.010000  0.010000   \n12        0.00      0.000000           0.000000        0.000000  0.000000   \n13        0.00      0.000000           0.000000        0.000000  0.000000   \n14        0.00      0.000000           0.000000        0.000000  0.000000   \n15        0.00      0.020000           0.000000        0.000000  0.000000   \n16        0.00      0.000000           0.000000        0.000000  0.000000   \n\n    Dance Studio  Deli / Bodega  Department Store  Dessert Shop  \\\n0       0.000000       0.000000              0.01      0.010000   \n1       0.000000       0.010989              0.00      0.000000   \n2       0.011236       0.000000              0.00      0.000000   \n3       0.000000       0.030000              0.01      0.000000   \n4       0.000000       0.000000              0.00      0.000000   \n5       0.000000       0.030000              0.01      0.000000   \n6       0.000000       0.000000              0.01      0.010000   \n7       0.010989       0.010989              0.00      0.000000   \n8       0.010000       0.000000              0.00      0.010000   \n9       0.000000       0.000000              0.00      0.052632   \n10      0.000000       0.000000              0.00      0.000000   \n11      0.000000       0.030000              0.01      0.000000   \n12      0.000000       0.000000              0.00      0.000000   \n13      0.000000       0.000000              0.00      0.000000   \n14      0.000000       0.018182              0.00      0.000000   \n15      0.000000       0.030000              0.01      0.000000   \n16      0.000000       0.000000              0.00      0.000000   \n\n    Dim Sum Restaurant     Diner   Dog Run  Dumpling Restaurant  \\\n0             0.000000  0.010000  0.000000                 0.00   \n1             0.010989  0.000000  0.010989                 0.00   \n2             0.000000  0.011236  0.011236                 0.00   \n3             0.000000  0.000000  0.000000                 0.00   \n4             0.000000  0.017857  0.000000                 0.00   \n5             0.000000  0.000000  0.000000                 0.00   \n6             0.000000  0.010000  0.000000                 0.00   \n7             0.000000  0.000000  0.000000                 0.00   \n8             0.010000  0.010000  0.000000                 0.02   \n9             0.000000  0.052632  0.000000                 0.00   \n10            0.000000  0.030303  0.000000                 0.00   \n11            0.000000  0.000000  0.000000                 0.00   \n12            0.000000  0.000000  0.000000                 0.00   \n13            0.000000  0.030303  0.000000                 0.00   \n14            0.000000  0.036364  0.000000                 0.00   \n15            0.000000  0.000000  0.000000                 0.00   \n16            0.000000  0.000000  0.000000                 0.00   \n\n    Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n0                      0.000000               0.01              0.000000   \n1                      0.000000               0.00              0.000000   \n2                      0.000000               0.00              0.011236   \n3                      0.000000               0.00              0.000000   \n4                      0.017857               0.00              0.000000   \n5                      0.000000               0.00              0.000000   \n6                      0.000000               0.00              0.010000   \n7                      0.000000               0.00              0.000000   \n8                      0.000000               0.00              0.000000   \n9                      0.000000               0.00              0.000000   \n10                     0.000000               0.00              0.000000   \n11                     0.000000               0.00              0.000000   \n12                     0.000000               0.00              0.000000   \n13                     0.000000               0.00              0.000000   \n14                     0.000000               0.00              0.000000   \n15                     0.000000               0.00              0.000000   \n16                     0.000000               0.00              0.000000   \n\n    Event Space  Exhibit  Falafel Restaurant  Farmers Market  \\\n0      0.000000     0.00            0.010000        0.000000   \n1      0.010989     0.00            0.000000        0.000000   \n2      0.000000     0.00            0.000000        0.000000   \n3      0.000000     0.00            0.000000        0.000000   \n4      0.000000     0.00            0.000000        0.035714   \n5      0.000000     0.00            0.000000        0.000000   \n6      0.000000     0.00            0.020000        0.000000   \n7      0.010989     0.00            0.000000        0.000000   \n8      0.000000     0.01            0.000000        0.010000   \n9      0.000000     0.00            0.000000        0.000000   \n10     0.030303     0.00            0.000000        0.000000   \n11     0.000000     0.00            0.000000        0.000000   \n12     0.000000     0.00            0.000000        0.000000   \n13     0.000000     0.00            0.000000        0.000000   \n14     0.000000     0.00            0.000000        0.000000   \n15     0.000000     0.00            0.000000        0.000000   \n16     0.000000     0.00            0.058824        0.000000   \n\n    Fast Food Restaurant  Filipino Restaurant  Fish Market  Flower Shop  \\\n0               0.010000             0.000000     0.000000     0.000000   \n1               0.010989             0.000000     0.000000     0.000000   \n2               0.022472             0.000000     0.000000     0.000000   \n3               0.010000             0.000000     0.000000     0.000000   \n4               0.000000             0.000000     0.017857     0.000000   \n5               0.010000             0.000000     0.000000     0.000000   \n6               0.010000             0.000000     0.000000     0.000000   \n7               0.010989             0.000000     0.000000     0.000000   \n8               0.010000             0.000000     0.000000     0.000000   \n9               0.000000             0.000000     0.000000     0.000000   \n10              0.030303             0.000000     0.000000     0.000000   \n11              0.010000             0.000000     0.000000     0.000000   \n12              0.000000             0.000000     0.000000     0.000000   \n13              0.030303             0.030303     0.000000     0.000000   \n14              0.000000             0.000000     0.000000     0.018182   \n15              0.010000             0.000000     0.000000     0.000000   \n16              0.000000             0.000000     0.000000     0.000000   \n\n    Food & Drink Shop  Food Court  Food Truck  French Restaurant  \\\n0            0.000000    0.000000        0.00           0.000000   \n1            0.000000    0.000000        0.00           0.000000   \n2            0.011236    0.000000        0.00           0.000000   \n3            0.000000    0.000000        0.01           0.010000   \n4            0.000000    0.000000        0.00           0.017857   \n5            0.000000    0.010000        0.00           0.000000   \n6            0.000000    0.010000        0.00           0.000000   \n7            0.000000    0.010989        0.00           0.000000   \n8            0.000000    0.000000        0.00           0.030000   \n9            0.000000    0.000000        0.00           0.000000   \n10           0.000000    0.000000        0.00           0.000000   \n11           0.000000    0.000000        0.01           0.010000   \n12           0.000000    0.000000        0.00           0.000000   \n13           0.030303    0.000000        0.00           0.000000   \n14           0.000000    0.000000        0.00           0.018182   \n15           0.000000    0.010000        0.01           0.010000   \n16           0.000000    0.000000        0.00           0.000000   \n\n    Fried Chicken Joint  Furniture / Home Store  Gaming Cafe  Gastropub  \\\n0              0.000000                0.010000         0.00   0.010000   \n1              0.000000                0.000000         0.00   0.000000   \n2              0.000000                0.000000         0.00   0.022472   \n3              0.000000                0.000000         0.00   0.030000   \n4              0.000000                0.000000         0.00   0.000000   \n5              0.000000                0.000000         0.00   0.030000   \n6              0.000000                0.000000         0.00   0.010000   \n7              0.010989                0.000000         0.00   0.000000   \n8              0.000000                0.010000         0.01   0.000000   \n9              0.000000                0.000000         0.00   0.000000   \n10             0.000000                0.000000         0.00   0.000000   \n11             0.000000                0.000000         0.00   0.050000   \n12             0.000000                0.000000         0.00   0.000000   \n13             0.000000                0.000000         0.00   0.000000   \n14             0.000000                0.018182         0.00   0.036364   \n15             0.000000                0.000000         0.00   0.030000   \n16             0.000000                0.000000         0.00   0.058824   \n\n     Gay Bar  General Entertainment  General Travel  Gift Shop  \\\n0   0.000000               0.000000            0.00   0.000000   \n1   0.000000               0.000000            0.00   0.000000   \n2   0.044944               0.011236            0.00   0.000000   \n3   0.000000               0.000000            0.00   0.000000   \n4   0.000000               0.000000            0.00   0.000000   \n5   0.000000               0.000000            0.01   0.000000   \n6   0.000000               0.000000            0.00   0.000000   \n7   0.000000               0.000000            0.00   0.000000   \n8   0.000000               0.000000            0.00   0.010000   \n9   0.000000               0.000000            0.00   0.052632   \n10  0.000000               0.000000            0.00   0.000000   \n11  0.000000               0.000000            0.00   0.000000   \n12  0.000000               0.000000            0.00   0.000000   \n13  0.000000               0.000000            0.00   0.000000   \n14  0.000000               0.018182            0.00   0.018182   \n15  0.000000               0.000000            0.01   0.000000   \n16  0.000000               0.000000            0.00   0.000000   \n\n    Gluten-free Restaurant  Greek Restaurant  Grocery Store       Gym  \\\n0                     0.00          0.000000       0.000000  0.010000   \n1                     0.00          0.000000       0.000000  0.032967   \n2                     0.00          0.000000       0.011236  0.011236   \n3                     0.01          0.000000       0.000000  0.020000   \n4                     0.00          0.017857       0.000000  0.000000   \n5                     0.01          0.010000       0.000000  0.020000   \n6                     0.00          0.000000       0.000000  0.000000   \n7                     0.00          0.000000       0.010989  0.032967   \n8                     0.00          0.000000       0.010000  0.010000   \n9                     0.00          0.000000       0.000000  0.000000   \n10                    0.00          0.030303       0.060606  0.000000   \n11                    0.01          0.000000       0.000000  0.020000   \n12                    0.00          0.000000       0.000000  0.000000   \n13                    0.00          0.000000       0.030303  0.000000   \n14                    0.00          0.000000       0.036364  0.000000   \n15                    0.01          0.010000       0.000000  0.020000   \n16                    0.00          0.000000       0.000000  0.058824   \n\n    Gym / Fitness Center  Hawaiian Restaurant  Health & Beauty Service  \\\n0               0.000000                 0.01                 0.000000   \n1               0.000000                 0.00                 0.000000   \n2               0.000000                 0.00                 0.011236   \n3               0.020000                 0.01                 0.000000   \n4               0.000000                 0.00                 0.000000   \n5               0.020000                 0.00                 0.000000   \n6               0.010000                 0.00                 0.000000   \n7               0.000000                 0.00                 0.000000   \n8               0.000000                 0.01                 0.000000   \n9               0.052632                 0.00                 0.000000   \n10              0.000000                 0.00                 0.000000   \n11              0.020000                 0.01                 0.000000   \n12              0.000000                 0.00                 0.000000   \n13              0.000000                 0.00                 0.000000   \n14              0.000000                 0.00                 0.000000   \n15              0.020000                 0.00                 0.000000   \n16              0.000000                 0.00                 0.000000   \n\n    Historic Site  History Museum  Hobby Shop  Hookah Bar    Hostel     Hotel  \\\n0            0.00        0.000000    0.000000        0.00  0.000000  0.000000   \n1            0.00        0.021978    0.000000        0.00  0.000000  0.098901   \n2            0.00        0.000000    0.011236        0.00  0.000000  0.011236   \n3            0.00        0.000000    0.000000        0.00  0.010000  0.060000   \n4            0.00        0.000000    0.000000        0.00  0.000000  0.017857   \n5            0.00        0.000000    0.000000        0.00  0.000000  0.090000   \n6            0.01        0.000000    0.000000        0.01  0.000000  0.010000   \n7            0.00        0.021978    0.000000        0.00  0.000000  0.010989   \n8            0.00        0.000000    0.000000        0.00  0.000000  0.000000   \n9            0.00        0.000000    0.000000        0.00  0.000000  0.000000   \n10           0.00        0.000000    0.000000        0.00  0.000000  0.000000   \n11           0.00        0.000000    0.000000        0.00  0.010000  0.060000   \n12           0.00        0.000000    0.000000        0.00  0.000000  0.000000   \n13           0.00        0.000000    0.000000        0.00  0.030303  0.030303   \n14           0.00        0.000000    0.000000        0.00  0.000000  0.000000   \n15           0.00        0.000000    0.000000        0.00  0.000000  0.060000   \n16           0.00        0.000000    0.000000        0.00  0.000000  0.000000   \n\n    Hotel Bar  Ice Cream Shop  Indian Restaurant  Indie Movie Theater  \\\n0        0.00        0.000000           0.000000             0.000000   \n1        0.00        0.021978           0.010989             0.000000   \n2        0.00        0.011236           0.011236             0.000000   \n3        0.01        0.010000           0.000000             0.000000   \n4        0.00        0.000000           0.000000             0.000000   \n5        0.01        0.010000           0.000000             0.000000   \n6        0.00        0.000000           0.000000             0.000000   \n7        0.00        0.010989           0.010989             0.010989   \n8        0.01        0.010000           0.010000             0.000000   \n9        0.00        0.000000           0.000000             0.000000   \n10       0.00        0.000000           0.030303             0.000000   \n11       0.00        0.010000           0.000000             0.000000   \n12       0.00        0.000000           0.000000             0.000000   \n13       0.00        0.000000           0.060606             0.000000   \n14       0.00        0.000000           0.036364             0.000000   \n15       0.01        0.010000           0.000000             0.000000   \n16       0.00        0.000000           0.000000             0.000000   \n\n    Irish Pub  Italian Restaurant  Japanese Restaurant  Jazz Club  \\\n0    0.000000            0.030000             0.020000   0.000000   \n1    0.010989            0.043956             0.010989   0.000000   \n2    0.000000            0.000000             0.056180   0.000000   \n3    0.010000            0.040000             0.030000   0.010000   \n4    0.017857            0.017857             0.000000   0.017857   \n5    0.000000            0.010000             0.020000   0.000000   \n6    0.000000            0.030000             0.030000   0.000000   \n7    0.000000            0.010989             0.010989   0.000000   \n8    0.000000            0.000000             0.000000   0.000000   \n9    0.000000            0.000000             0.000000   0.000000   \n10   0.000000            0.000000             0.000000   0.000000   \n11   0.010000            0.050000             0.030000   0.010000   \n12   0.000000            0.000000             0.000000   0.000000   \n13   0.000000            0.030303             0.000000   0.000000   \n14   0.000000            0.036364             0.036364   0.000000   \n15   0.010000            0.020000             0.010000   0.000000   \n16   0.000000            0.000000             0.000000   0.000000   \n\n    Jewelry Store  Juice Bar  Lake   Library  Lingerie Store  Liquor Store  \\\n0        0.000000   0.010000  0.00  0.000000            0.01      0.000000   \n1        0.000000   0.000000  0.00  0.000000            0.00      0.010989   \n2        0.000000   0.011236  0.00  0.000000            0.00      0.000000   \n3        0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n4        0.000000   0.000000  0.00  0.000000            0.00      0.017857   \n5        0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n6        0.000000   0.010000  0.01  0.000000            0.00      0.000000   \n7        0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n8        0.000000   0.000000  0.00  0.000000            0.00      0.010000   \n9        0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n10       0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n11       0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n12       0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n13       0.000000   0.000000  0.00  0.030303            0.00      0.000000   \n14       0.018182   0.000000  0.00  0.000000            0.00      0.018182   \n15       0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n16       0.000000   0.000000  0.00  0.000000            0.00      0.000000   \n\n      Lounge    Market  Martial Arts Dojo  Massage Studio  \\\n0   0.000000  0.000000               0.00            0.00   \n1   0.000000  0.000000               0.00            0.00   \n2   0.000000  0.000000               0.00            0.00   \n3   0.000000  0.000000               0.00            0.00   \n4   0.017857  0.000000               0.00            0.00   \n5   0.010000  0.000000               0.00            0.00   \n6   0.010000  0.000000               0.00            0.00   \n7   0.000000  0.000000               0.00            0.00   \n8   0.010000  0.000000               0.01            0.01   \n9   0.000000  0.000000               0.00            0.00   \n10  0.000000  0.000000               0.00            0.00   \n11  0.000000  0.000000               0.00            0.00   \n12  0.000000  0.000000               0.00            0.00   \n13  0.000000  0.030303               0.00            0.00   \n14  0.000000  0.018182               0.00            0.00   \n15  0.000000  0.000000               0.00            0.00   \n16  0.000000  0.000000               0.00            0.00   \n\n    Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n0                   0.000000     0.000000            0.010000   \n1                   0.000000     0.000000            0.000000   \n2                   0.011236     0.022472            0.011236   \n3                   0.000000     0.000000            0.010000   \n4                   0.000000     0.000000            0.017857   \n5                   0.000000     0.000000            0.000000   \n6                   0.000000     0.000000            0.010000   \n7                   0.010989     0.000000            0.000000   \n8                   0.000000     0.000000            0.010000   \n9                   0.000000     0.000000            0.052632   \n10                  0.000000     0.000000            0.030303   \n11                  0.000000     0.000000            0.000000   \n12                  0.000000     0.000000            0.000000   \n13                  0.000000     0.000000            0.000000   \n14                  0.000000     0.000000            0.000000   \n15                  0.000000     0.000000            0.000000   \n16                  0.058824     0.000000            0.000000   \n\n    Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n0                        0.01                0.01                        0.01   \n1                        0.00                0.00                        0.00   \n2                        0.00                0.00                        0.00   \n3                        0.00                0.00                        0.00   \n4                        0.00                0.00                        0.00   \n5                        0.00                0.00                        0.00   \n6                        0.02                0.01                        0.01   \n7                        0.00                0.00                        0.00   \n8                        0.00                0.00                        0.00   \n9                        0.00                0.00                        0.00   \n10                       0.00                0.00                        0.00   \n11                       0.00                0.00                        0.00   \n12                       0.00                0.00                        0.00   \n13                       0.00                0.00                        0.00   \n14                       0.00                0.00                        0.00   \n15                       0.00                0.00                        0.00   \n16                       0.00                0.00                        0.00   \n\n    Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n0                              0.00             0.010000       0.010000   \n1                              0.00             0.010989       0.010989   \n2                              0.00             0.000000       0.000000   \n3                              0.01             0.000000       0.000000   \n4                              0.00             0.000000       0.000000   \n5                              0.00             0.010000       0.000000   \n6                              0.00             0.000000       0.010000   \n7                              0.00             0.010989       0.000000   \n8                              0.00             0.000000       0.000000   \n9                              0.00             0.000000       0.000000   \n10                             0.00             0.000000       0.000000   \n11                             0.01             0.010000       0.000000   \n12                             0.00             0.000000       0.000000   \n13                             0.00             0.000000       0.000000   \n14                             0.00             0.000000       0.000000   \n15                             0.00             0.010000       0.000000   \n16                             0.00             0.000000       0.000000   \n\n      Museum  Music Venue  New American Restaurant  Nightclub  Noodle House  \\\n0   0.000000     0.010000                 0.000000   0.000000          0.00   \n1   0.000000     0.000000                 0.010989   0.000000          0.00   \n2   0.000000     0.000000                 0.000000   0.022472          0.00   \n3   0.010000     0.000000                 0.010000   0.000000          0.00   \n4   0.017857     0.000000                 0.000000   0.000000          0.00   \n5   0.010000     0.000000                 0.010000   0.000000          0.01   \n6   0.000000     0.010000                 0.000000   0.000000          0.00   \n7   0.000000     0.021978                 0.000000   0.000000          0.00   \n8   0.000000     0.010000                 0.000000   0.000000          0.01   \n9   0.000000     0.000000                 0.000000   0.000000          0.00   \n10  0.000000     0.000000                 0.000000   0.000000          0.00   \n11  0.010000     0.000000                 0.010000   0.000000          0.00   \n12  0.000000     0.000000                 0.000000   0.000000          0.00   \n13  0.000000     0.000000                 0.000000   0.000000          0.00   \n14  0.000000     0.000000                 0.000000   0.000000          0.00   \n15  0.010000     0.000000                 0.010000   0.000000          0.00   \n16  0.000000     0.000000                 0.000000   0.000000          0.00   \n\n    Office  Opera House  Optical Shop  Organic Grocery  Pakistani Restaurant  \\\n0     0.01         0.00          0.00             0.00              0.000000   \n1     0.00         0.00          0.00             0.00              0.000000   \n2     0.00         0.00          0.00             0.00              0.000000   \n3     0.00         0.00          0.00             0.00              0.000000   \n4     0.00         0.00          0.00             0.00              0.000000   \n5     0.01         0.01          0.00             0.00              0.000000   \n6     0.00         0.00          0.00             0.00              0.000000   \n7     0.00         0.00          0.00             0.00              0.000000   \n8     0.00         0.00          0.01             0.01              0.000000   \n9     0.00         0.00          0.00             0.00              0.000000   \n10    0.00         0.00          0.00             0.00              0.030303   \n11    0.01         0.00          0.00             0.00              0.000000   \n12    0.00         0.00          0.00             0.00              0.000000   \n13    0.00         0.00          0.00             0.00              0.000000   \n14    0.00         0.00          0.00             0.00              0.000000   \n15    0.00         0.00          0.00             0.00              0.000000   \n16    0.00         0.00          0.00             0.00              0.000000   \n\n        Park  Performing Arts Venue  Persian Restaurant  Pet Store  Pharmacy  \\\n0   0.010000               0.000000            0.000000   0.000000  0.000000   \n1   0.021978               0.000000            0.000000   0.000000  0.000000   \n2   0.011236               0.000000            0.011236   0.000000  0.000000   \n3   0.010000               0.000000            0.000000   0.000000  0.000000   \n4   0.017857               0.000000            0.000000   0.000000  0.000000   \n5   0.000000               0.000000            0.000000   0.000000  0.000000   \n6   0.000000               0.000000            0.000000   0.000000  0.000000   \n7   0.021978               0.010989            0.000000   0.000000  0.010989   \n8   0.010000               0.000000            0.000000   0.000000  0.000000   \n9   0.052632               0.000000            0.000000   0.000000  0.000000   \n10  0.000000               0.030303            0.000000   0.000000  0.060606   \n11  0.020000               0.010000            0.000000   0.000000  0.000000   \n12  0.500000               0.000000            0.000000   0.000000  0.000000   \n13  0.000000               0.000000            0.000000   0.000000  0.030303   \n14  0.018182               0.000000            0.000000   0.018182  0.018182   \n15  0.010000               0.000000            0.000000   0.000000  0.000000   \n16  0.117647               0.000000            0.000000   0.000000  0.000000   \n\n    Piano Bar  Pizza Place  Playground     Plaza      Pool  Pool Hall  \\\n0    0.000000     0.020000        0.00  0.030000  0.000000   0.000000   \n1    0.000000     0.043956        0.00  0.010989  0.010989   0.010989   \n2    0.011236     0.011236        0.00  0.011236  0.000000   0.000000   \n3    0.000000     0.000000        0.00  0.000000  0.000000   0.000000   \n4    0.000000     0.000000        0.00  0.000000  0.000000   0.000000   \n5    0.000000     0.010000        0.00  0.010000  0.000000   0.000000   \n6    0.000000     0.020000        0.00  0.020000  0.000000   0.000000   \n7    0.000000     0.043956        0.00  0.000000  0.000000   0.000000   \n8    0.000000     0.010000        0.00  0.000000  0.000000   0.000000   \n9    0.000000     0.000000        0.00  0.000000  0.000000   0.000000   \n10   0.000000     0.030303        0.00  0.000000  0.030303   0.000000   \n11   0.000000     0.000000        0.00  0.000000  0.000000   0.000000   \n12   0.000000     0.000000        0.25  0.000000  0.000000   0.000000   \n13   0.000000     0.090909        0.00  0.030303  0.000000   0.000000   \n14   0.000000     0.036364        0.00  0.000000  0.000000   0.000000   \n15   0.000000     0.010000        0.00  0.000000  0.000000   0.000000   \n16   0.000000     0.000000        0.00  0.000000  0.000000   0.000000   \n\n    Poutine Place       Pub  Ramen Restaurant  Record Shop  \\\n0            0.00  0.000000          0.010000         0.01   \n1            0.00  0.000000          0.000000         0.00   \n2            0.00  0.022472          0.011236         0.00   \n3            0.00  0.020000          0.000000         0.00   \n4            0.00  0.017857          0.000000         0.00   \n5            0.00  0.010000          0.000000         0.00   \n6            0.01  0.010000          0.020000         0.01   \n7            0.00  0.000000          0.000000         0.00   \n8            0.00  0.000000          0.020000         0.01   \n9            0.00  0.000000          0.000000         0.00   \n10           0.00  0.000000          0.000000         0.00   \n11           0.00  0.010000          0.000000         0.00   \n12           0.00  0.000000          0.000000         0.00   \n13           0.00  0.000000          0.000000         0.00   \n14           0.00  0.036364          0.000000         0.00   \n15           0.00  0.010000          0.000000         0.00   \n16           0.00  0.000000          0.000000         0.00   \n\n    Rental Car Location  Rest Area  Restaurant  Rock Club  Sake Bar  \\\n0              0.000000   0.000000    0.020000   0.000000  0.000000   \n1              0.000000   0.000000    0.010989   0.000000  0.000000   \n2              0.000000   0.000000    0.033708   0.000000  0.011236   \n3              0.000000   0.000000    0.040000   0.000000  0.000000   \n4              0.000000   0.017857    0.035714   0.000000  0.000000   \n5              0.000000   0.000000    0.040000   0.000000  0.000000   \n6              0.000000   0.000000    0.010000   0.000000  0.000000   \n7              0.000000   0.000000    0.032967   0.000000  0.000000   \n8              0.000000   0.000000    0.010000   0.000000  0.000000   \n9              0.052632   0.000000    0.000000   0.000000  0.000000   \n10             0.030303   0.000000    0.090909   0.000000  0.000000   \n11             0.000000   0.000000    0.060000   0.000000  0.000000   \n12             0.000000   0.000000    0.000000   0.000000  0.000000   \n13             0.000000   0.000000    0.060606   0.030303  0.000000   \n14             0.000000   0.000000    0.109091   0.018182  0.000000   \n15             0.000000   0.000000    0.040000   0.000000  0.000000   \n16             0.000000   0.000000    0.000000   0.000000  0.000000   \n\n    Salad Place  Salon / Barbershop  Sandwich Place  Scenic Lookout  \\\n0      0.000000            0.000000        0.020000        0.000000   \n1      0.010989            0.000000        0.010989        0.032967   \n2      0.000000            0.011236        0.000000        0.000000   \n3      0.000000            0.000000        0.010000        0.000000   \n4      0.000000            0.000000        0.000000        0.000000   \n5      0.000000            0.010000        0.010000        0.000000   \n6      0.000000            0.000000        0.020000        0.000000   \n7      0.000000            0.000000        0.021978        0.043956   \n8      0.000000            0.000000        0.020000        0.000000   \n9      0.000000            0.052632        0.052632        0.000000   \n10     0.000000            0.000000        0.030303        0.000000   \n11     0.000000            0.000000        0.010000        0.000000   \n12     0.000000            0.000000        0.000000        0.000000   \n13     0.000000            0.000000        0.000000        0.000000   \n14     0.000000            0.000000        0.018182        0.000000   \n15     0.000000            0.000000        0.010000        0.000000   \n16     0.000000            0.000000        0.058824        0.000000   \n\n    Sculpture Garden  Seafood Restaurant  Shoe Store  Shopping Mall  \\\n0           0.000000            0.010000        0.01       0.010000   \n1           0.000000            0.000000        0.00       0.000000   \n2           0.011236            0.011236        0.00       0.000000   \n3           0.000000            0.030000        0.00       0.010000   \n4           0.000000            0.035714        0.00       0.017857   \n5           0.000000            0.030000        0.00       0.010000   \n6           0.000000            0.010000        0.01       0.010000   \n7           0.000000            0.010989        0.00       0.010989   \n8           0.000000            0.010000        0.01       0.000000   \n9           0.000000            0.000000        0.00       0.000000   \n10          0.000000            0.000000        0.00       0.000000   \n11          0.000000            0.030000        0.00       0.010000   \n12          0.000000            0.000000        0.00       0.000000   \n13          0.000000            0.000000        0.00       0.000000   \n14          0.000000            0.000000        0.00       0.000000   \n15          0.000000            0.030000        0.00       0.010000   \n16          0.000000            0.000000        0.00       0.000000   \n\n    Skating Rink  Smoke Shop  Snack Place  Soup Place       Spa  Speakeasy  \\\n0       0.000000    0.000000     0.000000        0.00  0.020000       0.00   \n1       0.000000    0.000000     0.000000        0.00  0.010989       0.00   \n2       0.000000    0.011236     0.000000        0.00  0.000000       0.00   \n3       0.000000    0.000000     0.000000        0.01  0.000000       0.00   \n4       0.000000    0.000000     0.000000        0.00  0.000000       0.00   \n5       0.000000    0.000000     0.000000        0.01  0.000000       0.01   \n6       0.000000    0.000000     0.000000        0.00  0.010000       0.00   \n7       0.010989    0.000000     0.000000        0.00  0.000000       0.00   \n8       0.000000    0.000000     0.000000        0.00  0.000000       0.00   \n9       0.000000    0.000000     0.000000        0.00  0.052632       0.00   \n10      0.000000    0.000000     0.000000        0.00  0.000000       0.00   \n11      0.000000    0.000000     0.000000        0.00  0.000000       0.00   \n12      0.000000    0.000000     0.000000        0.00  0.000000       0.00   \n13      0.000000    0.000000     0.000000        0.00  0.000000       0.00   \n14      0.000000    0.000000     0.018182        0.00  0.000000       0.00   \n15      0.000000    0.000000     0.000000        0.01  0.000000       0.00   \n16      0.000000    0.000000     0.000000        0.00  0.000000       0.00   \n\n    Sporting Goods Shop  Sports Bar  Steakhouse  Street Art  Strip Club  \\\n0              0.000000    0.000000    0.010000        0.00    0.000000   \n1              0.000000    0.043956    0.000000        0.00    0.000000   \n2              0.000000    0.011236    0.011236        0.00    0.011236   \n3              0.010000    0.000000    0.020000        0.00    0.000000   \n4              0.017857    0.000000    0.035714        0.00    0.000000   \n5              0.000000    0.000000    0.030000        0.00    0.000000   \n6              0.000000    0.000000    0.010000        0.00    0.000000   \n7              0.010989    0.021978    0.000000        0.00    0.000000   \n8              0.010000    0.000000    0.000000        0.01    0.000000   \n9              0.157895    0.000000    0.000000        0.00    0.000000   \n10             0.000000    0.000000    0.000000        0.00    0.000000   \n11             0.000000    0.000000    0.030000        0.00    0.000000   \n12             0.000000    0.000000    0.000000        0.00    0.000000   \n13             0.000000    0.000000    0.030303        0.00    0.000000   \n14             0.000000    0.000000    0.000000        0.00    0.000000   \n15             0.010000    0.020000    0.030000        0.00    0.000000   \n16             0.000000    0.000000    0.000000        0.00    0.000000   \n\n    Supermarket  Sushi Restaurant  Taco Place  Tailor Shop  \\\n0      0.000000          0.010000        0.00     0.000000   \n1      0.010989          0.010989        0.00     0.000000   \n2      0.000000          0.044944        0.00     0.000000   \n3      0.000000          0.000000        0.00     0.010000   \n4      0.000000          0.017857        0.00     0.017857   \n5      0.000000          0.000000        0.00     0.000000   \n6      0.010000          0.000000        0.01     0.000000   \n7      0.000000          0.010989        0.00     0.000000   \n8      0.000000          0.020000        0.00     0.000000   \n9      0.000000          0.000000        0.00     0.000000   \n10     0.000000          0.030303        0.00     0.000000   \n11     0.000000          0.000000        0.00     0.010000   \n12     0.000000          0.000000        0.00     0.000000   \n13     0.000000          0.000000        0.00     0.000000   \n14     0.000000          0.000000        0.00     0.000000   \n15     0.000000          0.000000        0.00     0.010000   \n16     0.000000          0.000000        0.00     0.000000   \n\n    Taiwanese Restaurant  Tanning Salon  Tea Room  Thai Restaurant   Theater  \\\n0               0.000000           0.01  0.030000         0.020000  0.010000   \n1               0.000000           0.00  0.000000         0.010989  0.010989   \n2               0.000000           0.00  0.011236         0.000000  0.011236   \n3               0.000000           0.00  0.010000         0.020000  0.000000   \n4               0.000000           0.00  0.017857         0.017857  0.000000   \n5               0.000000           0.00  0.020000         0.020000  0.010000   \n6               0.000000           0.01  0.020000         0.020000  0.020000   \n7               0.000000           0.00  0.010989         0.021978  0.010989   \n8               0.000000           0.00  0.020000         0.000000  0.000000   \n9               0.000000           0.00  0.000000         0.000000  0.000000   \n10              0.000000           0.00  0.000000         0.030303  0.030303   \n11              0.000000           0.00  0.010000         0.020000  0.010000   \n12              0.000000           0.00  0.000000         0.000000  0.000000   \n13              0.000000           0.00  0.000000         0.000000  0.000000   \n14              0.018182           0.00  0.000000         0.000000  0.000000   \n15              0.000000           0.00  0.020000         0.020000  0.000000   \n16              0.000000           0.00  0.000000         0.000000  0.058824   \n\n    Thrift / Vintage Store  Toy / Game Store     Track     Trail  \\\n0                     0.00              0.00  0.000000  0.000000   \n1                     0.00              0.00  0.000000  0.000000   \n2                     0.00              0.00  0.000000  0.000000   \n3                     0.00              0.00  0.000000  0.000000   \n4                     0.00              0.00  0.000000  0.000000   \n5                     0.00              0.00  0.000000  0.000000   \n6                     0.00              0.00  0.000000  0.000000   \n7                     0.00              0.00  0.010989  0.010989   \n8                     0.01              0.01  0.000000  0.000000   \n9                     0.00              0.00  0.000000  0.000000   \n10                    0.00              0.00  0.000000  0.000000   \n11                    0.00              0.00  0.000000  0.000000   \n12                    0.00              0.00  0.000000  0.250000   \n13                    0.00              0.00  0.000000  0.000000   \n14                    0.00              0.00  0.000000  0.000000   \n15                    0.00              0.00  0.000000  0.000000   \n16                    0.00              0.00  0.000000  0.000000   \n\n    Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n0        0.000000                       0.010000          0.000000   \n1        0.010989                       0.000000          0.000000   \n2        0.000000                       0.011236          0.011236   \n3        0.000000                       0.000000          0.000000   \n4        0.000000                       0.000000          0.000000   \n5        0.010000                       0.000000          0.000000   \n6        0.000000                       0.010000          0.000000   \n7        0.000000                       0.000000          0.000000   \n8        0.000000                       0.020000          0.010000   \n9        0.000000                       0.000000          0.000000   \n10       0.000000                       0.000000          0.000000   \n11       0.000000                       0.000000          0.000000   \n12       0.000000                       0.000000          0.000000   \n13       0.000000                       0.000000          0.000000   \n14       0.000000                       0.000000          0.000000   \n15       0.010000                       0.000000          0.000000   \n16       0.000000                       0.000000          0.000000   \n\n    Vietnamese Restaurant  Whisky Bar  Wine Bar  Wings Joint  \n0                0.010000    0.000000  0.010000     0.000000  \n1                0.000000    0.000000  0.010989     0.000000  \n2                0.011236    0.000000  0.000000     0.011236  \n3                0.000000    0.000000  0.010000     0.000000  \n4                0.000000    0.000000  0.000000     0.000000  \n5                0.000000    0.000000  0.010000     0.000000  \n6                0.010000    0.000000  0.010000     0.000000  \n7                0.000000    0.010989  0.010989     0.010989  \n8                0.040000    0.000000  0.000000     0.000000  \n9                0.000000    0.000000  0.000000     0.000000  \n10               0.000000    0.000000  0.000000     0.000000  \n11               0.000000    0.000000  0.010000     0.000000  \n12               0.000000    0.000000  0.000000     0.000000  \n13               0.000000    0.000000  0.000000     0.000000  \n14               0.000000    0.000000  0.000000     0.000000  \n15               0.000000    0.000000  0.020000     0.000000  \n16               0.000000    0.000000  0.000000     0.000000  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\ntoronto_grouped"
        }, 
        {
            "execution_count": 171, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "----Bay Street----\n            venue  freq\n0  Clothing Store  0.09\n1     Coffee Shop  0.08\n2            Caf\u00e9  0.04\n3           Plaza  0.03\n4  Cosmetics Shop  0.03\n\n\n----CN Tower, King and Spadina, Railway Lands, Harbourfront, South Niagara, Island airport----\n                venue  freq\n0               Hotel  0.10\n1         Coffee Shop  0.09\n2         Pizza Place  0.04\n3          Sports Bar  0.04\n4  Italian Restaurant  0.04\n\n\n----Church and Wellesley----\n                 venue  freq\n0          Coffee Shop  0.07\n1  Japanese Restaurant  0.06\n2         Burger Joint  0.04\n3     Sushi Restaurant  0.04\n4              Gay Bar  0.04\n\n\n----Commerce Court, Victoria Hotel----\n                 venue  freq\n0          Coffee Shop  0.11\n1                Hotel  0.06\n2                 Caf\u00e9  0.05\n3  American Restaurant  0.04\n4           Restaurant  0.04\n\n\n----Downtown Toronto----\n            venue  freq\n0    Cocktail Bar  0.05\n1     Coffee Shop  0.05\n2     Cheese Shop  0.04\n3      Steakhouse  0.04\n4  Farmers Market  0.04\n\n\n----First Canadian Place, Underground city----\n                 venue  freq\n0          Coffee Shop  0.10\n1                Hotel  0.09\n2                 Caf\u00e9  0.07\n3  American Restaurant  0.04\n4           Restaurant  0.04\n\n\n----Garden District, Ryerson----\n            venue  freq\n0     Coffee Shop  0.09\n1  Clothing Store  0.06\n2            Caf\u00e9  0.05\n3  Cosmetics Shop  0.03\n4    Burger Joint  0.03\n\n\n----Harbourfront, Union Station, Toronto Islands----\n            venue  freq\n0   Boat or Ferry  0.07\n1     Coffee Shop  0.07\n2  Scenic Lookout  0.04\n3     Pizza Place  0.04\n4            Caf\u00e9  0.03\n\n\n----Kensington Market, Chinatown, Grange Park----\n                   venue  freq\n0                    Bar  0.05\n1     Chinese Restaurant  0.05\n2  Vietnamese Restaurant  0.04\n3                   Caf\u00e9  0.04\n4            Yoga Studio  0.03\n\n\n----North Toronto----\n                 venue  freq\n0  Sporting Goods Shop  0.16\n1          Coffee Shop  0.11\n2          Yoga Studio  0.05\n3   Mexican Restaurant  0.05\n4                Diner  0.05\n\n\n----Regent Park, Harbourfront----\n           venue  freq\n0           Caf\u00e9  0.09\n1     Restaurant  0.09\n2  Grocery Store  0.06\n3       Pharmacy  0.06\n4    Yoga Studio  0.03\n\n\n----Richmond, King----\n                venue  freq\n0         Coffee Shop  0.09\n1               Hotel  0.06\n2          Restaurant  0.06\n3           Gastropub  0.05\n4  Italian Restaurant  0.05\n\n\n----Rosedale----\n                  venue  freq\n0                  Park  0.50\n1            Playground  0.25\n2                 Trail  0.25\n3  Pakistani Restaurant  0.00\n4                Museum  0.00\n\n\n----St. James Town----\n               venue  freq\n0        Coffee Shop  0.09\n1        Pizza Place  0.09\n2               Caf\u00e9  0.06\n3  Indian Restaurant  0.06\n4         Restaurant  0.06\n\n\n----St. James Town, Cabbagetown----\n                venue  freq\n0          Restaurant  0.11\n1         Coffee Shop  0.07\n2                Caf\u00e9  0.07\n3                 Pub  0.04\n4  Italian Restaurant  0.04\n\n\n----Toronto Dominion Centre, Design Exchange----\n                 venue  freq\n0          Coffee Shop  0.13\n1                 Caf\u00e9  0.06\n2                Hotel  0.06\n3  American Restaurant  0.05\n4           Restaurant  0.04\n\n\n----University of Toronto----\n                      venue  freq\n0               Coffee Shop  0.29\n1                      Park  0.12\n2  Mediterranean Restaurant  0.06\n3             Burrito Place  0.06\n4                      Caf\u00e9  0.06\n\n\n"
                }
            ], 
            "source": "num_top_venues = 5\n\nfor hood in toronto_grouped['Neighborhood']:\n    print(\"----\"+hood+\"----\")\n    temp = toronto_grouped[toronto_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})\n    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n    print('\\n')"
        }, 
        {
            "execution_count": 172, 
            "cell_type": "code", 
            "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]"
        }, 
        {
            "execution_count": 173, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 173, 
                    "metadata": {}, 
                    "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>Bay Street</td>\n      <td>Clothing Store</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Cosmetics Shop</td>\n      <td>Plaza</td>\n      <td>Italian Restaurant</td>\n      <td>Tea Room</td>\n      <td>Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n      <td>Hotel</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>Italian Restaurant</td>\n      <td>Sports Bar</td>\n      <td>Aquarium</td>\n      <td>Gym</td>\n      <td>Bar</td>\n      <td>Scenic Lookout</td>\n      <td>Bistro</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Church and Wellesley</td>\n      <td>Coffee Shop</td>\n      <td>Japanese Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Burger Joint</td>\n      <td>Gay Bar</td>\n      <td>Restaurant</td>\n      <td>Men's Store</td>\n      <td>Caf\u00e9</td>\n      <td>Fast Food Restaurant</td>\n      <td>Bubble Tea Shop</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Commerce Court, Victoria Hotel</td>\n      <td>Coffee Shop</td>\n      <td>Hotel</td>\n      <td>Caf\u00e9</td>\n      <td>Restaurant</td>\n      <td>American Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Seafood Restaurant</td>\n      <td>Gastropub</td>\n      <td>Japanese Restaurant</td>\n      <td>Cocktail Bar</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Downtown Toronto</td>\n      <td>Coffee Shop</td>\n      <td>Cocktail Bar</td>\n      <td>Farmers Market</td>\n      <td>Restaurant</td>\n      <td>Beer Bar</td>\n      <td>Caf\u00e9</td>\n      <td>Cheese Shop</td>\n      <td>Steakhouse</td>\n      <td>Seafood Restaurant</td>\n      <td>Bakery</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>First Canadian Place, Underground city</td>\n      <td>Coffee Shop</td>\n      <td>Hotel</td>\n      <td>Caf\u00e9</td>\n      <td>American Restaurant</td>\n      <td>Restaurant</td>\n      <td>Asian Restaurant</td>\n      <td>Gastropub</td>\n      <td>Burger Joint</td>\n      <td>Deli / Bodega</td>\n      <td>Steakhouse</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Garden District, Ryerson</td>\n      <td>Coffee Shop</td>\n      <td>Clothing Store</td>\n      <td>Caf\u00e9</td>\n      <td>Burger Joint</td>\n      <td>Italian Restaurant</td>\n      <td>Japanese Restaurant</td>\n      <td>Cosmetics Shop</td>\n      <td>Sandwich Place</td>\n      <td>Tea Room</td>\n      <td>Pizza Place</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Harbourfront, Union Station, Toronto Islands</td>\n      <td>Coffee Shop</td>\n      <td>Boat or Ferry</td>\n      <td>Pizza Place</td>\n      <td>Scenic Lookout</td>\n      <td>Caf\u00e9</td>\n      <td>Brewery</td>\n      <td>Gym</td>\n      <td>Aquarium</td>\n      <td>Restaurant</td>\n      <td>Baseball Stadium</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Kensington Market, Chinatown, Grange Park</td>\n      <td>Chinese Restaurant</td>\n      <td>Bar</td>\n      <td>Vietnamese Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Yoga Studio</td>\n      <td>Arts &amp; Crafts Store</td>\n      <td>Coffee Shop</td>\n      <td>French Restaurant</td>\n      <td>Art Gallery</td>\n      <td>Cocktail Bar</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>North Toronto</td>\n      <td>Sporting Goods Shop</td>\n      <td>Coffee Shop</td>\n      <td>Yoga Studio</td>\n      <td>Clothing Store</td>\n      <td>Spa</td>\n      <td>Mexican Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Salon / Barbershop</td>\n      <td>Caf\u00e9</td>\n      <td>Chinese Restaurant</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>Regent Park, Harbourfront</td>\n      <td>Caf\u00e9</td>\n      <td>Restaurant</td>\n      <td>Pharmacy</td>\n      <td>Grocery Store</td>\n      <td>Yoga Studio</td>\n      <td>Chinese Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Mexican Restaurant</td>\n      <td>Event Space</td>\n      <td>Sandwich Place</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Richmond, King</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Hotel</td>\n      <td>Italian Restaurant</td>\n      <td>Gastropub</td>\n      <td>Caf\u00e9</td>\n      <td>American Restaurant</td>\n      <td>Seafood Restaurant</td>\n      <td>Deli / Bodega</td>\n      <td>Steakhouse</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>Rosedale</td>\n      <td>Park</td>\n      <td>Playground</td>\n      <td>Trail</td>\n      <td>Wings Joint</td>\n      <td>Dumpling Restaurant</td>\n      <td>Filipino Restaurant</td>\n      <td>Fast Food Restaurant</td>\n      <td>Farmers Market</td>\n      <td>Falafel Restaurant</td>\n      <td>Exhibit</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>St. James Town</td>\n      <td>Pizza Place</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Indian Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Plaza</td>\n      <td>Butcher</td>\n      <td>Steakhouse</td>\n      <td>Beer Store</td>\n      <td>Market</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>St. James Town, Cabbagetown</td>\n      <td>Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Italian Restaurant</td>\n      <td>Bakery</td>\n      <td>Pub</td>\n      <td>Indian Restaurant</td>\n      <td>Gastropub</td>\n      <td>Japanese Restaurant</td>\n      <td>Pizza Place</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>Toronto Dominion Centre, Design Exchange</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Hotel</td>\n      <td>American Restaurant</td>\n      <td>Restaurant</td>\n      <td>Deli / Bodega</td>\n      <td>Steakhouse</td>\n      <td>Gastropub</td>\n      <td>Seafood Restaurant</td>\n      <td>Bakery</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>University of Toronto</td>\n      <td>Coffee Shop</td>\n      <td>Park</td>\n      <td>College Gym</td>\n      <td>College Arts Building</td>\n      <td>Sandwich Place</td>\n      <td>Caf\u00e9</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Theater</td>\n      <td>Gastropub</td>\n      <td>Gym</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                         Neighborhood 1st Most Common Venue  \\\n0                                          Bay Street        Clothing Store   \n1   CN Tower, King and Spadina, Railway Lands, Har...                 Hotel   \n2                                Church and Wellesley           Coffee Shop   \n3                      Commerce Court, Victoria Hotel           Coffee Shop   \n4                                    Downtown Toronto           Coffee Shop   \n5              First Canadian Place, Underground city           Coffee Shop   \n6                            Garden District, Ryerson           Coffee Shop   \n7        Harbourfront, Union Station, Toronto Islands           Coffee Shop   \n8           Kensington Market, Chinatown, Grange Park    Chinese Restaurant   \n9                                       North Toronto   Sporting Goods Shop   \n10                          Regent Park, Harbourfront                  Caf\u00e9   \n11                                     Richmond, King           Coffee Shop   \n12                                           Rosedale                  Park   \n13                                     St. James Town           Pizza Place   \n14                        St. James Town, Cabbagetown            Restaurant   \n15           Toronto Dominion Centre, Design Exchange           Coffee Shop   \n16                              University of Toronto           Coffee Shop   \n\n   2nd Most Common Venue  3rd Most Common Venue  4th Most Common Venue  \\\n0            Coffee Shop                   Caf\u00e9         Cosmetics Shop   \n1            Coffee Shop            Pizza Place     Italian Restaurant   \n2    Japanese Restaurant       Sushi Restaurant           Burger Joint   \n3                  Hotel                   Caf\u00e9             Restaurant   \n4           Cocktail Bar         Farmers Market             Restaurant   \n5                  Hotel                   Caf\u00e9    American Restaurant   \n6         Clothing Store                   Caf\u00e9           Burger Joint   \n7          Boat or Ferry            Pizza Place         Scenic Lookout   \n8                    Bar  Vietnamese Restaurant                   Caf\u00e9   \n9            Coffee Shop            Yoga Studio         Clothing Store   \n10            Restaurant               Pharmacy          Grocery Store   \n11            Restaurant                  Hotel     Italian Restaurant   \n12            Playground                  Trail            Wings Joint   \n13           Coffee Shop             Restaurant      Indian Restaurant   \n14           Coffee Shop                   Caf\u00e9     Italian Restaurant   \n15                  Caf\u00e9                  Hotel    American Restaurant   \n16                  Park            College Gym  College Arts Building   \n\n   5th Most Common Venue 6th Most Common Venue     7th Most Common Venue  \\\n0                  Plaza    Italian Restaurant                  Tea Room   \n1             Sports Bar              Aquarium                       Gym   \n2                Gay Bar            Restaurant               Men's Store   \n3    American Restaurant    Italian Restaurant        Seafood Restaurant   \n4               Beer Bar                  Caf\u00e9               Cheese Shop   \n5             Restaurant      Asian Restaurant                 Gastropub   \n6     Italian Restaurant   Japanese Restaurant            Cosmetics Shop   \n7                   Caf\u00e9               Brewery                       Gym   \n8            Yoga Studio   Arts & Crafts Store               Coffee Shop   \n9                    Spa    Mexican Restaurant            Sandwich Place   \n10           Yoga Studio    Chinese Restaurant         Convenience Store   \n11             Gastropub                  Caf\u00e9       American Restaurant   \n12   Dumpling Restaurant   Filipino Restaurant      Fast Food Restaurant   \n13                  Caf\u00e9                 Plaza                   Butcher   \n14                Bakery                   Pub         Indian Restaurant   \n15            Restaurant         Deli / Bodega                Steakhouse   \n16        Sandwich Place                  Caf\u00e9  Mediterranean Restaurant   \n\n   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n0             Restaurant        Sandwich Place           Burger Joint  \n1                    Bar        Scenic Lookout                 Bistro  \n2                   Caf\u00e9  Fast Food Restaurant        Bubble Tea Shop  \n3              Gastropub   Japanese Restaurant           Cocktail Bar  \n4             Steakhouse    Seafood Restaurant                 Bakery  \n5           Burger Joint         Deli / Bodega             Steakhouse  \n6         Sandwich Place              Tea Room            Pizza Place  \n7               Aquarium            Restaurant       Baseball Stadium  \n8      French Restaurant           Art Gallery           Cocktail Bar  \n9     Salon / Barbershop                  Caf\u00e9     Chinese Restaurant  \n10    Mexican Restaurant           Event Space         Sandwich Place  \n11    Seafood Restaurant         Deli / Bodega             Steakhouse  \n12        Farmers Market    Falafel Restaurant                Exhibit  \n13            Steakhouse            Beer Store                 Market  \n14             Gastropub   Japanese Restaurant            Pizza Place  \n15             Gastropub    Seafood Restaurant                 Bakery  \n16               Theater             Gastropub                    Gym  "
                    }, 
                    "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'] = toronto_grouped['Neighborhood']\n\nfor ind in np.arange(toronto_grouped.shape[0]):\n    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n\nneighborhoods_venues_sorted"
        }, 
        {
            "execution_count": 174, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 174, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "array([3, 3, 3, 3, 3, 3, 3, 3, 3, 4], dtype=int32)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# set number of clusters\nkclusters = 5\n\ntoronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n\n# run k-means clustering\nkmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n\n# check cluster labels generated for each row in the dataframe\nkmeans.labels_[0:10] "
        }, 
        {
            "execution_count": 175, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "execution_count": 175, 
                    "metadata": {}, 
                    "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>PostalCode</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>43.659343</td>\n      <td>-79.365525</td>\n      <td>3</td>\n      <td>Caf\u00e9</td>\n      <td>Restaurant</td>\n      <td>Pharmacy</td>\n      <td>Grocery Store</td>\n      <td>Yoga Studio</td>\n      <td>Chinese Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Mexican Restaurant</td>\n      <td>Event Space</td>\n      <td>Sandwich Place</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M5B</td>\n      <td>Downtown Toronto</td>\n      <td>Garden District, Ryerson</td>\n      <td>43.657658</td>\n      <td>-79.378802</td>\n      <td>3</td>\n      <td>Coffee Shop</td>\n      <td>Clothing Store</td>\n      <td>Caf\u00e9</td>\n      <td>Burger Joint</td>\n      <td>Italian Restaurant</td>\n      <td>Japanese Restaurant</td>\n      <td>Cosmetics Shop</td>\n      <td>Sandwich Place</td>\n      <td>Tea Room</td>\n      <td>Pizza Place</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5C</td>\n      <td>Downtown Toronto</td>\n      <td>St. James Town</td>\n      <td>43.668195</td>\n      <td>-79.373771</td>\n      <td>3</td>\n      <td>Pizza Place</td>\n      <td>Coffee Shop</td>\n      <td>Restaurant</td>\n      <td>Indian Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Plaza</td>\n      <td>Butcher</td>\n      <td>Steakhouse</td>\n      <td>Beer Store</td>\n      <td>Market</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M5E</td>\n      <td>Downtown Toronto</td>\n      <td>Downtown Toronto</td>\n      <td>43.644771</td>\n      <td>-79.373306</td>\n      <td>3</td>\n      <td>Coffee Shop</td>\n      <td>Cocktail Bar</td>\n      <td>Farmers Market</td>\n      <td>Restaurant</td>\n      <td>Beer Bar</td>\n      <td>Caf\u00e9</td>\n      <td>Cheese Shop</td>\n      <td>Steakhouse</td>\n      <td>Seafood Restaurant</td>\n      <td>Bakery</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M5G</td>\n      <td>Downtown Toronto</td>\n      <td>Bay Street</td>\n      <td>43.655854</td>\n      <td>-79.383778</td>\n      <td>3</td>\n      <td>Clothing Store</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Cosmetics Shop</td>\n      <td>Plaza</td>\n      <td>Italian Restaurant</td>\n      <td>Tea Room</td>\n      <td>Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Burger Joint</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  PostalCode           Borough               Neighborhood   Latitude  \\\n0        M5A  Downtown Toronto  Regent Park, Harbourfront  43.659343   \n1        M5B  Downtown Toronto   Garden District, Ryerson  43.657658   \n2        M5C  Downtown Toronto             St. James Town  43.668195   \n3        M5E  Downtown Toronto           Downtown Toronto  43.644771   \n4        M5G  Downtown Toronto                 Bay Street  43.655854   \n\n   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n0 -79.365525               3                  Caf\u00e9            Restaurant   \n1 -79.378802               3           Coffee Shop        Clothing Store   \n2 -79.373771               3           Pizza Place           Coffee Shop   \n3 -79.373306               3           Coffee Shop          Cocktail Bar   \n4 -79.383778               3        Clothing Store           Coffee Shop   \n\n  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n0              Pharmacy         Grocery Store           Yoga Studio   \n1                  Caf\u00e9          Burger Joint    Italian Restaurant   \n2            Restaurant     Indian Restaurant                  Caf\u00e9   \n3        Farmers Market            Restaurant              Beer Bar   \n4                  Caf\u00e9        Cosmetics Shop                 Plaza   \n\n  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n0    Chinese Restaurant     Convenience Store    Mexican Restaurant   \n1   Japanese Restaurant        Cosmetics Shop        Sandwich Place   \n2                 Plaza               Butcher            Steakhouse   \n3                  Caf\u00e9           Cheese Shop            Steakhouse   \n4    Italian Restaurant              Tea Room            Restaurant   \n\n  9th Most Common Venue 10th Most Common Venue  \n0           Event Space         Sandwich Place  \n1              Tea Room            Pizza Place  \n2            Beer Store                 Market  \n3    Seafood Restaurant                 Bakery  \n4        Sandwich Place           Burger Joint  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "toronto_merged = toronto_df\n\n# add clustering labels\ntoronto_merged['Cluster Labels'] = kmeans.labels_\n\n# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\ntoronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n\ntoronto_merged.head() # check the last columns!"
        }, 
        {
            "source": "Finally, Visualizing the resulting clusters", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 177, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 177, 
                    "metadata": {}, 
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                var html_a1596dc70cf346ed96be1e93637d9c4b = $('<div id="html_a1596dc70cf346ed96be1e93637d9c4b" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 3</div>')[0];
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                var html_9a256cb020454e8aa44972dbbe269c9a = $('<div id="html_9a256cb020454e8aa44972dbbe269c9a" style="width: 100.0%; height: 100.0%;">Downtown Toronto Cluster 3</div>')[0];
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  "fill": true,
  "fillColor": "#80ffb4",
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  "fillRule": "evenodd",
  "lineCap": "round",
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  "stroke": true,
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}
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}
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  "fill": true,
  "fillColor": "#80ffb4",
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}
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  "fill": true,
  "fillColor": "#80ffb4",
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  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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}
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  "color": "#80ffb4",
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  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
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                var html_a490c4fa2c8749eea99ad884bfd5e718 = $('<div id="html_a490c4fa2c8749eea99ad884bfd5e718" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 3</div>')[0];
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  "fill": true,
  "fillColor": "#ffb360",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
            var popup_6d20c544bec34c98b52833f8099935a3 = L.popup({maxWidth: '300'});

            
                var html_bf77f278d822408ebe826d3569fd7bfa = $('<div id="html_bf77f278d822408ebe826d3569fd7bfa" style="width: 100.0%; height: 100.0%;">North Toronto Cluster 4</div>')[0];
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            circle_marker_31ce7afac63e4213a02b68b4a88f5c41.bindPopup(popup_6d20c544bec34c98b52833f8099935a3);

            
        
    
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  "fill": true,
  "fillColor": "#ff0000",
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  "fillRule": "evenodd",
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  "lineJoin": "round",
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}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
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                var html_21c5fdda2da047039f1088a45ac22ad7 = $('<div id="html_21c5fdda2da047039f1088a45ac22ad7" style="width: 100.0%; height: 100.0%;">University of Toronto Cluster 0</div>')[0];
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            circle_marker_8b7b91803e8f472488ceb033859d82b6.bindPopup(popup_578114065964450c890c13cec0a44120);

            
        
    
            var circle_marker_8aeb3d47170d4ac59c3f24242262486c = L.circleMarker(
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  "color": "#80ffb4",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
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  "opacity": 1.0,
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}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
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                var html_465f0ed0601c47c9ae7c4968ee701842 = $('<div id="html_465f0ed0601c47c9ae7c4968ee701842" style="width: 100.0%; height: 100.0%;">Kensington Market, Chinatown, Grange Park Cluster 3</div>')[0];
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  "dashArray": null,
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  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
            var popup_144b5205740c480abf72d88761087589 = L.popup({maxWidth: '300'});

            
                var html_8fd53590e7464c198fcd2bc5344ed451 = $('<div id="html_8fd53590e7464c198fcd2bc5344ed451" style="width: 100.0%; height: 100.0%;">CN Tower, King and Spadina, Railway Lands, Harbourfront, South Niagara, Island airport Cluster 1</div>')[0];
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            circle_marker_2699d424a0084858b751842ba2c0c0d5.bindPopup(popup_144b5205740c480abf72d88761087589);

            
        
    
            var circle_marker_c03333f90d4145369c667828129f49fc = L.circleMarker(
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                {
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  "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_fe397f7e94c1401fa7bfac57284586c6);
            
    
            var popup_a201a7d3cf2c4804beaee6fc9b67d5a0 = L.popup({maxWidth: '300'});

            
                var html_efce839e6f5b42599ef7723449d832d4 = $('<div id="html_efce839e6f5b42599ef7723449d832d4" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 0</div>')[0];
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            var circle_marker_5984bd855df94c38a3c25928d39265ac = L.circleMarker(
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                {
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  "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,
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}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
            var popup_846574bee22546b5912a0ae3e285d522 = L.popup({maxWidth: '300'});

            
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  "color": "#80ffb4",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
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                {
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  "color": "#00b5eb",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#00b5eb",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_fe397f7e94c1401fa7bfac57284586c6);
            
    
            var popup_468e176a958e498bb3319ff23ba25f22 = L.popup({maxWidth: '300'});

            
                var html_5d9bda9c06964fb09ad3735a945cb674 = $('<div id="html_5d9bda9c06964fb09ad3735a945cb674" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 2</div>')[0];
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>", 
                        "text/plain": "<folium.folium.Map at 0x7f492bf0af28>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# create map\nmap_clusters = folium.Map(location=[toronto_latitude, toronto_longitude], zoom_start=12)\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(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_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"
        }
    ], 
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.5", 
            "name": "python3", 
            "language": "python"
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