Segementation and Clustering Notebook.ipynb

{
    "nbformat_minor": 1, 
    "cells": [
        {
            "source": "# Segmenting and Clustering Neighborhoods in Toronto City", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "source": "### Import necessary Libraries", 
            "cell_type": "markdown", 
            "metadata": {
                "collapsed": true
            }
        }, 
        {
            "execution_count": 27, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/DSX-Python35\n\n  added / updated specs: \n    - folium=0.5.0\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    certifi-2018.8.24          |        py35_1001         139 KB  conda-forge\n    folium-0.5.0               |             py_0          45 KB  conda-forge\n    openssl-1.0.2r             |       h14c3975_0         3.1 MB  conda-forge\n    vincent-0.4.4              |             py_1          28 KB  conda-forge\n    altair-2.2.2               |           py35_1         462 KB  conda-forge\n    ca-certificates-2019.3.9   |       hecc5488_0         146 KB  conda-forge\n    branca-0.3.1               |             py_0          25 KB  conda-forge\n    ------------------------------------------------------------\n                                           Total:         4.0 MB\n\nThe following NEW packages will be INSTALLED:\n\n    altair:          2.2.2-py35_1      conda-forge\n    branca:          0.3.1-py_0        conda-forge\n    folium:          0.5.0-py_0        conda-forge\n    vincent:         0.4.4-py_1        conda-forge\n\nThe following packages will be UPDATED:\n\n    ca-certificates: 2019.1.23-0                   --> 2019.3.9-hecc5488_0 conda-forge\n    certifi:         2018.8.24-py35_1              --> 2018.8.24-py35_1001 conda-forge\n    openssl:         1.0.2r-h7b6447c_0             --> 1.0.2r-h14c3975_0   conda-forge\n\n\nDownloading and Extracting Packages\ncertifi-2018.8.24    | 139 KB    | ##################################### | 100% \nfolium-0.5.0         | 45 KB     | ##################################### | 100% \nopenssl-1.0.2r       | 3.1 MB    | ##################################### | 100% \nvincent-0.4.4        | 28 KB     | ##################################### | 100% \naltair-2.2.2         | 462 KB    | ##################################### | 100% \nca-certificates-2019 | 146 KB    | ##################################### | 100% \nbranca-0.3.1         | 25 KB     | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\nLibraries imported.\n"
                }
            ], 
            "source": "import numpy as np #library to handle data in a vectorized manner\n\nimport pandas as pd #library for data analysis\npd.set_option('display.max_columns', None)\npd.set_option('display.max_rows', None)\n\nimport json # library to handle JSON files\n\n#!conda install -c conda-forge geopy --yes\nfrom geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n\nimport requests # library to handle requests\nfrom pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n\n# Matplotlib and associated plotting modules\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n\n# import k-means from clustering stage\nfrom sklearn.cluster import KMeans\n\n!conda install -c conda-forge folium=0.5.0 --yes\nimport folium # map rendering library\n\nprint('Libraries imported.')"
        }, 
        {
            "source": "### Install website scraping library - Beautiful Soup", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 2, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/DSX-Python35\n\n  added / updated specs: \n    - beautifulsoup4\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    beautifulsoup4-4.6.3       |           py35_0         139 KB  conda-forge\n\nThe following packages will be UPDATED:\n\n    beautifulsoup4: 4.6.0-py35h442a8c9_1 --> 4.6.3-py35_0 conda-forge\n\n\nDownloading and Extracting Packages\nbeautifulsoup4-4.6.3 | 139 KB    | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n"
                }
            ], 
            "source": "#Install Beutifulsoup for web scrapping\n!conda install -c conda-forge beautifulsoup4 --yes"
        }, 
        {
            "source": "### Install API for parsing XML and HTML", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 3, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/DSX-Python35\n\n  added / updated specs: \n    - lxml\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    libxml2-2.9.9              |       h13577e0_0         2.0 MB  conda-forge\n    lxml-4.2.5                 |   py35hc9114bc_0         5.8 MB  conda-forge\n    libxslt-1.1.32             |    h4785a14_1002         539 KB  conda-forge\n    ------------------------------------------------------------\n                                           Total:         8.3 MB\n\nThe following packages will be UPDATED:\n\n    libxml2: 2.9.4-h6b072ca_5     --> 2.9.9-h13577e0_0     conda-forge\n    libxslt: 1.1.29-hcf9102b_5    --> 1.1.32-h4785a14_1002 conda-forge\n    lxml:    4.1.0-py35ha401a81_0 --> 4.2.5-py35hc9114bc_0 conda-forge\n\n\nDownloading and Extracting Packages\nlibxml2-2.9.9        | 2.0 MB    | ##################################### | 100% \nlxml-4.2.5           | 5.8 MB    | ##################################### | 100% \nlibxslt-1.1.32       | 539 KB    | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n"
                }
            ], 
            "source": "#install LXML Parser\n!conda install -c conda-forge lxml --yes"
        }, 
        {
            "source": "### Install HTTP requests library", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 4, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/DSX-Python35\n\n  added / updated specs: \n    - requests\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    requests-2.19.1            |           py35_1          94 KB  conda-forge\n\nThe following packages will be UPDATED:\n\n    requests: 2.18.4-py35hb9e6ad1_1 --> 2.19.1-py35_1 conda-forge\n\n\nDownloading and Extracting Packages\nrequests-2.19.1      | 94 KB     | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n"
                }
            ], 
            "source": "#install requests library\n!conda install -c conda-forge requests --yes"
        }, 
        {
            "source": "### 1. Download and Explore Dataset", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 6, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "from bs4 import BeautifulSoup\nimport requests"
        }, 
        {
            "execution_count": 7, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "<!DOCTYPE html>\n<html class=\"client-nojs\" dir=\"ltr\" lang=\"en\">\n <head>\n  <meta charset=\"utf-8\"/>\n  <title>\n   List of postal codes of Canada: M - Wikipedia\n  </title>\n  <script>\n   document.documentElement.className=document.documentElement.className.replace(/(^|\\s)client-nojs(\\s|$)/,\"$1client-js$2\");RLCONF={\"wgCanonicalNamespace\":\"\",\"wgCanonicalSpecialPageName\":!1,\"wgNamespaceNumber\":0,\"wgPageName\":\"List_of_postal_codes_of_Canada:_M\",\"wgTitle\":\"List of postal codes of Canada: M\",\"wgCurRevisionId\":890001695,\"wgRevisionId\":890001695,\"wgArticleId\":539066,\"wgIsArticle\":!0,\"wgIsRedirect\":!1,\"wgAction\":\"view\",\"wgUserName\":null,\"wgUserGroups\":[\"*\"],\"wgCategories\":[\"Communications in Ontario\",\"Postal codes in Canada\",\"Toronto\",\"Ontario-related 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href=\"/w/load.php?lang=en&amp;modules=site.styles&amp;only=styles&amp;skin=vector\" rel=\"stylesheet\"/>\n  <meta content=\"MediaWiki 1.34.0-wmf.5\" name=\"generator\"/>\n  <meta content=\"origin\" name=\"referrer\"/>\n  <meta content=\"origin-when-crossorigin\" name=\"referrer\"/>\n  <meta content=\"origin-when-cross-origin\" name=\"referrer\"/>\n  <link href=\"android-app://org.wikipedia/http/en.m.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\" rel=\"alternate\"/>\n  <link href=\"/w/index.php?title=List_of_postal_codes_of_Canada:_M&amp;action=edit\" rel=\"alternate\" title=\"Edit this page\" type=\"application/x-wiki\"/>\n  <link href=\"/w/index.php?title=List_of_postal_codes_of_Canada:_M&amp;action=edit\" rel=\"edit\" title=\"Edit this page\"/>\n  <link href=\"/static/apple-touch/wikipedia.png\" rel=\"apple-touch-icon\"/>\n  <link href=\"/static/favicon/wikipedia.ico\" rel=\"shortcut icon\"/>\n  <link href=\"/w/opensearch_desc.php\" rel=\"search\" title=\"Wikipedia (en)\" type=\"application/opensearchdescription+xml\"/>\n  <link href=\"//en.wikipedia.org/w/api.php?action=rsd\" rel=\"EditURI\" type=\"application/rsd+xml\"/>\n  <link href=\"//creativecommons.org/licenses/by-sa/3.0/\" rel=\"license\"/>\n  <link href=\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\" rel=\"canonical\"/>\n  <link href=\"//login.wikimedia.org\" rel=\"dns-prefetch\"/>\n  <link href=\"//meta.wikimedia.org\" rel=\"dns-prefetch\"/>\n  <!--[if lt IE 9]><script src=\"/w/load.php?lang=qqx&amp;modules=html5shiv&amp;only=scripts&amp;skin=fallback&amp;sync=1\"></script><![endif]-->\n </head>\n <body class=\"mediawiki ltr sitedir-ltr mw-hide-empty-elt ns-0 ns-subject mw-editable page-List_of_postal_codes_of_Canada_M rootpage-List_of_postal_codes_of_Canada_M skin-vector action-view\">\n  <div class=\"noprint\" id=\"mw-page-base\">\n  </div>\n  <div class=\"noprint\" id=\"mw-head-base\">\n  </div>\n  <div class=\"mw-body\" id=\"content\" role=\"main\">\n   <a id=\"top\">\n   </a>\n   <div class=\"mw-body-content\" id=\"siteNotice\">\n    <!-- CentralNotice -->\n   </div>\n   <div class=\"mw-indicators mw-body-content\">\n   </div>\n   <h1 class=\"firstHeading\" id=\"firstHeading\" lang=\"en\">\n    List of postal codes of Canada: M\n   </h1>\n   <div class=\"mw-body-content\" id=\"bodyContent\">\n    <div class=\"noprint\" id=\"siteSub\">\n     From Wikipedia, the free encyclopedia\n    </div>\n    <div id=\"contentSub\">\n    </div>\n    <div id=\"jump-to-nav\">\n    </div>\n    <a class=\"mw-jump-link\" href=\"#mw-head\">\n     Jump to navigation\n    </a>\n    <a class=\"mw-jump-link\" href=\"#p-search\">\n     Jump to search\n    </a>\n    <div class=\"mw-content-ltr\" dir=\"ltr\" id=\"mw-content-text\" lang=\"en\">\n     <div class=\"mw-parser-output\">\n      <p>\n       This is a list of\n       <a href=\"/wiki/Postal_codes_in_Canada\" title=\"Postal codes in Canada\">\n        postal codes in Canada\n       </a>\n       where the first letter is M. Postal codes beginning with M are located within the city of\n       <a href=\"/wiki/Toronto\" title=\"Toronto\">\n        Toronto\n       </a>\n       in the province of\n       <a href=\"/wiki/Ontario\" title=\"Ontario\">\n        Ontario\n       </a>\n       . Only the first three characters are listed, corresponding to the Forward Sortation Area.\n      </p>\n      <p>\n       <a href=\"/wiki/Canada_Post\" title=\"Canada Post\">\n        Canada Post\n       </a>\n       provides a free postal code look-up tool on its website,\n       <sup class=\"reference\" id=\"cite_ref-1\">\n        <a href=\"#cite_note-1\">\n         [1]\n        </a>\n       </sup>\n       via its\n       <a href=\"/wiki/Mobile_app\" title=\"Mobile app\">\n        applications\n       </a>\n       for such\n       <a class=\"mw-redirect\" href=\"/wiki/Smartphones\" title=\"Smartphones\">\n        smartphones\n       </a>\n       as the\n       <a href=\"/wiki/IPhone\" title=\"IPhone\">\n        iPhone\n       </a>\n       and\n       <a href=\"/wiki/BlackBerry\" title=\"BlackBerry\">\n        BlackBerry\n       </a>\n       ,\n       <sup class=\"reference\" id=\"cite_ref-2\">\n        <a href=\"#cite_note-2\">\n         [2]\n        </a>\n       </sup>\n       and sells hard-copy directories and\n       <a href=\"/wiki/CD-ROM\" title=\"CD-ROM\">\n        CD-ROMs\n       </a>\n       . Many vendors also sell validation tools, which allow customers to properly match addresses and postal codes. Hard-copy directories can also be consulted in all post offices, and some libraries.\n      </p>\n      <h2>\n       <span class=\"mw-headline\" id=\"Toronto_-_FSAs\">\n        <a href=\"/wiki/Toronto\" title=\"Toronto\">\n         Toronto\n        </a>\n        -\n        <a href=\"/wiki/Postal_codes_in_Canada#Forward_sortation_areas\" title=\"Postal codes in Canada\">\n         FSAs\n        </a>\n       </span>\n       <span class=\"mw-editsection\">\n        <span class=\"mw-editsection-bracket\">\n         [\n        </span>\n        <a href=\"/w/index.php?title=List_of_postal_codes_of_Canada:_M&amp;action=edit&amp;section=1\" title=\"Edit section: Toronto - FSAs\">\n         edit\n        </a>\n        <span class=\"mw-editsection-bracket\">\n         ]\n        </span>\n       </span>\n      </h2>\n      <p>\n       Note: There are no rural FSAs in Toronto, hence no postal codes start with M0.\n      </p>\n      <table class=\"wikitable sortable\">\n       <tbody>\n        <tr>\n         <th>\n          Postcode\n         </th>\n         <th>\n          Borough\n         </th>\n         <th>\n          Neighbourhood\n         </th>\n        </tr>\n        <tr>\n         <td>\n          M1A\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2A\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3A\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Parkwoods\" title=\"Parkwoods\">\n           Parkwoods\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4A\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Victoria_Village\" title=\"Victoria Village\">\n           Victoria Village\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5A\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Harbourfront_(Toronto)\" title=\"Harbourfront (Toronto)\">\n           Harbourfront\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5A\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Regent_Park\" title=\"Regent Park\">\n           Regent Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6A\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Lawrence_Heights\" title=\"Lawrence Heights\">\n           Lawrence Heights\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6A\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Lawrence_Manor\" title=\"Lawrence Manor\">\n           Lawrence Manor\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7A\n         </td>\n         <td>\n          <a href=\"/wiki/Queen%27s_Park_(Toronto)\" title=\"Queen's Park (Toronto)\">\n           Queen's Park\n          </a>\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8A\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9A\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Islington_Avenue\" title=\"Islington Avenue\">\n           Islington Avenue\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1B\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Rouge,_Toronto\" title=\"Rouge, Toronto\">\n           Rouge\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1B\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Malvern,_Toronto\" title=\"Malvern, Toronto\">\n           Malvern\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2B\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3B\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Don Mills North\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4B\n         </td>\n         <td>\n          <a href=\"/wiki/East_York\" title=\"East York\">\n           East York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Woodbine_Gardens\" title=\"Woodbine Gardens\">\n           Woodbine Gardens\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4B\n         </td>\n         <td>\n          <a href=\"/wiki/East_York\" title=\"East York\">\n           East York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Parkview_Hill\" title=\"Parkview Hill\">\n           Parkview Hill\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5B\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Ryerson\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5B\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Garden District\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6B\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Glencairn\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7B\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8B\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9B\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Cloverdale\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9B\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Islington,_Toronto\" title=\"Islington, Toronto\">\n           Islington\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9B\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Martin Grove\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9B\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Princess_Gardens\" title=\"Princess Gardens\">\n           Princess Gardens\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9B\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/West_Deane_Park\" title=\"West Deane Park\">\n           West Deane Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1C\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Highland_Creek_(Toronto)\" title=\"Highland Creek (Toronto)\">\n           Highland Creek\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1C\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Rouge_Hill\" title=\"Rouge Hill\">\n           Rouge Hill\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1C\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Port_Union,_Toronto\" title=\"Port Union, Toronto\">\n           Port Union\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2C\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3C\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Flemingdon_Park\" title=\"Flemingdon Park\">\n           Flemingdon Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3C\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Don Mills South\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4C\n         </td>\n         <td>\n          <a href=\"/wiki/East_York\" title=\"East York\">\n           East York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Woodbine_Heights\" title=\"Woodbine Heights\">\n           Woodbine Heights\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5C\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/St._James_Town\" title=\"St. James Town\">\n           St. James Town\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6C\n         </td>\n         <td>\n          York\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Humewood-Cedarvale\" title=\"Humewood-Cedarvale\">\n           Humewood-Cedarvale\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7C\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8C\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9C\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Bloordale Gardens\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9C\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Eringate\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9C\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Markland_Wood\" title=\"Markland Wood\">\n           Markland Wood\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9C\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Old Burnhamthorpe\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1E\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          Guildwood\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1E\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Morningside,_Toronto\" title=\"Morningside, Toronto\">\n           Morningside\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1E\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/West_Hill,_Toronto\" title=\"West Hill, Toronto\">\n           West Hill\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2E\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3E\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4E\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/The_Beaches\" title=\"The Beaches\">\n           The Beaches\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5E\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Berczy_Park\" title=\"Berczy Park\">\n           Berczy Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6E\n         </td>\n         <td>\n          York\n         </td>\n         <td>\n          Caledonia-Fairbanks\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7E\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8E\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9E\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1G\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Woburn,_Toronto\" title=\"Woburn, Toronto\">\n           Woburn\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2G\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3G\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4G\n         </td>\n         <td>\n          <a href=\"/wiki/East_York\" title=\"East York\">\n           East York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Leaside\" title=\"Leaside\">\n           Leaside\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5G\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Central Bay Street\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6G\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Christie\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7G\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8G\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9G\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1H\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          Cedarbrae\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2H\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Hillcrest_Village\" title=\"Hillcrest Village\">\n           Hillcrest Village\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3H\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Bathurst_Manor\" title=\"Bathurst Manor\">\n           Bathurst Manor\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3H\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Downsview North\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3H\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Wilson_Heights,_Toronto\" title=\"Wilson Heights, Toronto\">\n           Wilson Heights\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4H\n         </td>\n         <td>\n          <a href=\"/wiki/East_York\" title=\"East York\">\n           East York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Thorncliffe_Park\" title=\"Thorncliffe Park\">\n           Thorncliffe Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5H\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Adelaide\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5H\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          King\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5H\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Richmond\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6H\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Dovercourt_Village\" title=\"Dovercourt Village\">\n           Dovercourt Village\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6H\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          Dufferin\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7H\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8H\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9H\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1J\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough_Village\" title=\"Scarborough Village\">\n           Scarborough Village\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2J\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Fairview\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2J\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Henry_Farm\" title=\"Henry Farm\">\n           Henry Farm\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2J\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Oriole\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3J\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Northwood_Park\" title=\"Northwood Park\">\n           Northwood Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3J\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/York_University\" title=\"York University\">\n           York University\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4J\n         </td>\n         <td>\n          <a href=\"/wiki/East_York\" title=\"East York\">\n           East York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5J\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Harbourfront East\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5J\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Toronto_Islands\" title=\"Toronto Islands\">\n           Toronto Islands\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5J\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Union_Station_(Toronto)\" title=\"Union Station (Toronto)\">\n           Union Station\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6J\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Little_Portugal,_Toronto\" title=\"Little Portugal, Toronto\">\n           Little Portugal\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6J\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Trinity%E2%80%93Bellwoods\" title=\"Trinity\u2013Bellwoods\">\n           Trinity\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7J\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8J\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9J\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1K\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          East Birchmount Park\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1K\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Ionview\" title=\"Ionview\">\n           Ionview\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1K\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Kennedy_Park,_Toronto\" title=\"Kennedy Park, Toronto\">\n           Kennedy Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2K\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Bayview_Village\" title=\"Bayview Village\">\n           Bayview Village\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3K\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/CFB_Toronto\" title=\"CFB Toronto\">\n           CFB Toronto\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3K\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Downsview East\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4K\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n         <td>\n          The Danforth West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4K\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Riverdale,_Toronto\" title=\"Riverdale, Toronto\">\n           Riverdale\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5K\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Design_Exchange\" title=\"Design Exchange\">\n           Design Exchange\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5K\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Toronto_Dominion_Centre\" title=\"Toronto Dominion Centre\">\n           Toronto Dominion Centre\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6K\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          Brockton\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6K\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Exhibition_Place\" title=\"Exhibition Place\">\n           Exhibition Place\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6K\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Parkdale_Village\" title=\"Parkdale Village\">\n           Parkdale Village\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7K\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8K\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9K\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1L\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Clairlea\" title=\"Clairlea\">\n           Clairlea\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1L\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Golden_Mile,_Toronto\" title=\"Golden Mile, Toronto\">\n           Golden Mile\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1L\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Oakridge,_Toronto\" title=\"Oakridge, Toronto\">\n           Oakridge\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2L\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Silver Hills\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2L\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/York_Mills\" title=\"York Mills\">\n           York Mills\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3L\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Downsview\" title=\"Downsview\">\n           Downsview West\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4L\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n         <td>\n          The Beaches West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4L\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/India_Bazaar\" title=\"India Bazaar\">\n           India Bazaar\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5L\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Commerce_Court\" title=\"Commerce Court\">\n           Commerce Court\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5L\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Victoria Hotel\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6L\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Downsview,_Toronto\" title=\"Downsview, Toronto\">\n           Downsview\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6L\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          North Park\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6L\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Upwood Park\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7L\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8L\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9L\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Humber_Summit\" title=\"Humber Summit\">\n           Humber Summit\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1M\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Cliffcrest\" title=\"Cliffcrest\">\n           Cliffcrest\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1M\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Cliffside,_Toronto\" title=\"Cliffside, Toronto\">\n           Cliffside\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1M\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          Scarborough Village West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2M\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Newtonbrook\" title=\"Newtonbrook\">\n           Newtonbrook\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2M\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Willowdale,_Toronto\" title=\"Willowdale, Toronto\">\n           Willowdale\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3M\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Downsview Central\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4M\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n         <td>\n          Studio District\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5M\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Bedford_Park,_Toronto\" title=\"Bedford Park, Toronto\">\n           Bedford Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5M\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Lawrence Manor East\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6M\n         </td>\n         <td>\n          <a href=\"/wiki/York\" title=\"York\">\n           York\n          </a>\n         </td>\n         <td>\n          Del Ray\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6M\n         </td>\n         <td>\n          <a href=\"/wiki/York\" title=\"York\">\n           York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Keelesdale\" title=\"Keelesdale\">\n           Keelesdale\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6M\n         </td>\n         <td>\n          <a href=\"/wiki/York\" title=\"York\">\n           York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Mount_Dennis\" title=\"Mount Dennis\">\n           Mount Dennis\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6M\n         </td>\n         <td>\n          <a href=\"/wiki/York\" title=\"York\">\n           York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Silverthorn,_Toronto\" title=\"Silverthorn, Toronto\">\n           Silverthorn\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7M\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8M\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9M\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Emery,_Toronto\" title=\"Emery, Toronto\">\n           Emery\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9M\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Humberlea\" title=\"Humberlea\">\n           Humberlea\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1N\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Birch_Cliff\" title=\"Birch Cliff\">\n           Birch Cliff\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1N\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          Cliffside West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2N\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Willowdale South\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3N\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          Downsview Northwest\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4N\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Lawrence_Park,_Toronto\" title=\"Lawrence Park, Toronto\">\n           Lawrence Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5N\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          Roselawn\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6N\n         </td>\n         <td>\n          <a href=\"/wiki/York\" title=\"York\">\n           York\n          </a>\n         </td>\n         <td>\n          The Junction North\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6N\n         </td>\n         <td>\n          <a href=\"/wiki/York\" title=\"York\">\n           York\n          </a>\n         </td>\n         <td>\n          Runnymede\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7N\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8N\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9N\n         </td>\n         <td>\n          <a href=\"/wiki/York\" title=\"York\">\n           York\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Weston,_Toronto\" title=\"Weston, Toronto\">\n           Weston\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1P\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Dorset_Park\" title=\"Dorset Park\">\n           Dorset Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1P\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough_Town_Centre\" title=\"Scarborough Town Centre\">\n           Scarborough Town Centre\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1P\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Wexford_Heights\" title=\"Wexford Heights\">\n           Wexford Heights\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2P\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          York Mills West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3P\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4P\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          Davisville North\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5P\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Forest_Hill_North\" title=\"Forest Hill North\">\n           Forest Hill North\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5P\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          Forest Hill West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6P\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/High_Park\" title=\"High Park\">\n           High Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6P\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          The Junction South\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7P\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8P\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9P\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Westmount\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1R\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Maryvale,_Toronto\" title=\"Maryvale, Toronto\">\n           Maryvale\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1R\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Wexford,_Toronto\" title=\"Wexford, Toronto\">\n           Wexford\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2R\n         </td>\n         <td>\n          <a href=\"/wiki/North_York\" title=\"North York\">\n           North York\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Willowdale_West\" title=\"Willowdale West\">\n           Willowdale West\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3R\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4R\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          North Toronto West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5R\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/The_Annex\" title=\"The Annex\">\n           The Annex\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5R\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          North Midtown\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5R\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Yorkville,_Toronto\" title=\"Yorkville, Toronto\">\n           Yorkville\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6R\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Parkdale,_Toronto\" title=\"Parkdale, Toronto\">\n           Parkdale\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6R\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Roncesvalles,_Toronto\" title=\"Roncesvalles, Toronto\">\n           Roncesvalles\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7R\n         </td>\n         <td>\n          Mississauga\n         </td>\n         <td>\n          Canada Post Gateway Processing Centre\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8R\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9R\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Kingsview_Village\" title=\"Kingsview Village\">\n           Kingsview Village\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9R\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Martin Grove Gardens\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9R\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Richview Gardens\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9R\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          St. Phillips\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1S\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Agincourt,_Toronto\" title=\"Agincourt, Toronto\">\n           Agincourt\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2S\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3S\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4S\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          Davisville\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5S\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Harbord\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5S\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/University_of_Toronto\" title=\"University of Toronto\">\n           University of Toronto\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6S\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Runnymede,_Toronto\" title=\"Runnymede, Toronto\">\n           Runnymede\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6S\n         </td>\n         <td>\n          <a href=\"/wiki/West_Toronto\" title=\"West Toronto\">\n           West Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Swansea,_Toronto\" title=\"Swansea, Toronto\">\n           Swansea\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7S\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8S\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9S\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1T\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          Clarks Corners\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1T\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          Sullivan\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1T\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Tam_O%27Shanter_%E2%80%93_Sullivan\" title=\"Tam O'Shanter \u2013 Sullivan\">\n           Tam O'Shanter\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2T\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3T\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4T\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Moore_Park,_Toronto\" title=\"Moore Park, Toronto\">\n           Moore Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4T\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          Summerhill East\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5T\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Chinatown,_Toronto\" title=\"Chinatown, Toronto\">\n           Chinatown\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5T\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Grange_Park_(Toronto)\" title=\"Grange Park (Toronto)\">\n           Grange Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5T\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Kensington_Market\" title=\"Kensington Market\">\n           Kensington Market\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6T\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7T\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8T\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9T\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1V\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Agincourt_North\" title=\"Agincourt North\">\n           Agincourt North\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1V\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          L'Amoreaux East\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1V\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Milliken,_Ontario\" title=\"Milliken, Ontario\">\n           Milliken\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1V\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          Steeles East\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2V\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3V\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4V\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Deer_Park,_Toronto\" title=\"Deer Park, Toronto\">\n           Deer Park\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4V\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          Forest Hill SE\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4V\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Rathnelly\" title=\"Rathnelly\">\n           Rathnelly\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4V\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/South_Hill,_Toronto\" title=\"South Hill, Toronto\">\n           South Hill\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4V\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Central_Toronto\" title=\"Central Toronto\">\n           Central Toronto\n          </a>\n         </td>\n         <td>\n          Summerhill West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5V\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/CN_Tower\" title=\"CN Tower\">\n           CN Tower\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5V\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Bathurst Quay\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5V\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Island airport\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5V\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Harbourfront West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5V\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/King_and_Spadina\" title=\"King and Spadina\">\n           King and Spadina\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5V\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Railway_Lands\" title=\"Railway Lands\">\n           Railway Lands\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5V\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/South_Niagara\" title=\"South Niagara\">\n           South Niagara\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6V\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7V\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Humber Bay Shores\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Mimico South\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/New_Toronto\" title=\"New Toronto\">\n           New Toronto\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Albion Gardens\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Beaumond_Heights\" title=\"Beaumond Heights\">\n           Beaumond Heights\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Humbergate\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Mount_Olive-Silverstone-Jamestown\" title=\"Mount Olive-Silverstone-Jamestown\">\n           Jamestown\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Mount_Olive-Silverstone-Jamestown\" title=\"Mount Olive-Silverstone-Jamestown\">\n           Mount Olive\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Silverstone,_Toronto\" title=\"Silverstone, Toronto\">\n           Silverstone\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/South_Steeles\" title=\"South Steeles\">\n           South Steeles\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9V\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Thistletown\" title=\"Thistletown\">\n           Thistletown\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1W\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          L'Amoreaux West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2W\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3W\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4W\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Rosedale,_Toronto\" title=\"Rosedale, Toronto\">\n           Rosedale\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5W\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          Stn A PO Boxes 25 The Esplanade\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6W\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7W\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8W\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Alderwood,_Toronto\" title=\"Alderwood, Toronto\">\n           Alderwood\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8W\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Long_Branch,_Toronto\" title=\"Long Branch, Toronto\">\n           Long Branch\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9W\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Northwest\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1X\n         </td>\n         <td>\n          <a href=\"/wiki/Scarborough,_Toronto\" title=\"Scarborough, Toronto\">\n           Scarborough\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Upper_Rouge\" title=\"Upper Rouge\">\n           Upper Rouge\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2X\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3X\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4X\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Cabbagetown,_Toronto\" title=\"Cabbagetown, Toronto\">\n           Cabbagetown\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4X\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/St._James_Town\" title=\"St. James Town\">\n           St. James Town\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5X\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/First_Canadian_Place\" title=\"First Canadian Place\">\n           First Canadian Place\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5X\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Underground_city\" title=\"Underground city\">\n           Underground city\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6X\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7X\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8X\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/The_Kingsway\" title=\"The Kingsway\">\n           The Kingsway\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8X\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Montgomery Road\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8X\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Old Mill North\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9X\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1Y\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2Y\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3Y\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4Y\n         </td>\n         <td>\n          <a href=\"/wiki/Downtown_Toronto\" title=\"Downtown Toronto\">\n           Downtown Toronto\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Church_and_Wellesley\" title=\"Church and Wellesley\">\n           Church and Wellesley\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5Y\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6Y\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7Y\n         </td>\n         <td>\n          <a href=\"/wiki/East_Toronto\" title=\"East Toronto\">\n           East Toronto\n          </a>\n         </td>\n         <td>\n          Business Reply Mail Processing Centre 969 Eastern\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Humber_Bay\" title=\"Humber Bay\">\n           Humber Bay\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          King's Mill Park\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Kingsway Park South East\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Mimico\" title=\"Mimico\">\n           Mimico NE\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Old_Mill,_Toronto\" title=\"Old Mill, Toronto\">\n           Old Mill South\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/The_Queensway\" title=\"The Queensway\">\n           The Queensway East\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Fairmont_Royal_York_Hotel\" title=\"Fairmont Royal York Hotel\">\n           Royal York South East\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Y\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a class=\"mw-redirect\" href=\"/wiki/Sunnylea\" title=\"Sunnylea\">\n           Sunnylea\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9Y\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M1Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M2Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M3Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M4Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M5Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M6Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M7Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Z\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Kingsway Park South West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Z\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/Mimico\" title=\"Mimico\">\n           Mimico NW\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Z\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          <a href=\"/wiki/The_Queensway\" title=\"The Queensway\">\n           The Queensway West\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Z\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          Royal York South West\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M8Z\n         </td>\n         <td>\n          <a href=\"/wiki/Etobicoke\" title=\"Etobicoke\">\n           Etobicoke\n          </a>\n         </td>\n         <td>\n          South of Bloor\n         </td>\n        </tr>\n        <tr>\n         <td>\n          M9Z\n         </td>\n         <td>\n          Not assigned\n         </td>\n         <td>\n          Not assigned\n         </td>\n        </tr>\n       </tbody>\n      </table>\n      <div>\n       <table class=\"multicol\" role=\"presentation\" style=\"border-collapse: collapse; padding: 0; border: 0; background:transparent; width:100%;\">\n       </table>\n       <h2>\n        <span id=\"Most_populated_FSAs.5B3.5D\">\n        </span>\n        <span class=\"mw-headline\" id=\"Most_populated_FSAs[3]\">\n         Most populated FSAs\n         <sup class=\"reference\" id=\"cite_ref-statcan_3-0\">\n          <a href=\"#cite_note-statcan-3\">\n           [3]\n          </a>\n         </sup>\n        </span>\n        <span class=\"mw-editsection\">\n         <span class=\"mw-editsection-bracket\">\n          [\n         </span>\n         <a href=\"/w/index.php?title=List_of_postal_codes_of_Canada:_M&amp;action=edit&amp;section=2\" title=\"Edit section: Most populated FSAs[3]\">\n          edit\n         </a>\n         <span class=\"mw-editsection-bracket\">\n          ]\n         </span>\n        </span>\n       </h2>\n       <ol>\n        <li>\n         M1B, 65,129\n        </li>\n        <li>\n         M2N, 60,124\n        </li>\n        <li>\n         M1V, 55,250\n        </li>\n        <li>\n         M9V, 55,159\n        </li>\n        <li>\n         M2J, 54,391\n        </li>\n       </ol>\n       <p>\n       </p>\n       <table cellpadding=\"2\" cellspacing=\"0\" rules=\"all\" style=\"width:100%; border-collapse:collapse; border:1px solid #ccc;\">\n        <tbody>\n         <tr>\n          <td>\n          </td>\n         </tr>\n        </tbody>\n       </table>\n      </div>\n      <p>\n      </p>\n      <h2>\n       <span id=\"Least_populated_FSAs.5B3.5D\">\n       </span>\n       <span class=\"mw-headline\" id=\"Least_populated_FSAs[3]\">\n        Least populated FSAs\n        <sup class=\"reference\" id=\"cite_ref-statcan_3-1\">\n         <a href=\"#cite_note-statcan-3\">\n          [3]\n         </a>\n        </sup>\n       </span>\n       <span class=\"mw-editsection\">\n        <span class=\"mw-editsection-bracket\">\n         [\n        </span>\n        <a href=\"/w/index.php?title=List_of_postal_codes_of_Canada:_M&amp;action=edit&amp;section=3\" title=\"Edit section: Least populated FSAs[3]\">\n         edit\n        </a>\n        <span class=\"mw-editsection-bracket\">\n         ]\n        </span>\n       </span>\n      </h2>\n      <ol>\n       <li>\n        M5K, 5\n       </li>\n       <li>\n        M5L, 5\n       </li>\n       <li>\n        M5W, 5\n       </li>\n       <li>\n        M5X, 5\n       </li>\n       <li>\n        M7A, 5\n       </li>\n      </ol>\n      <p>\n      </p>\n      <h2>\n       <span class=\"mw-headline\" id=\"References\">\n        References\n       </span>\n       <span class=\"mw-editsection\">\n        <span class=\"mw-editsection-bracket\">\n         [\n        </span>\n        <a href=\"/w/index.php?title=List_of_postal_codes_of_Canada:_M&amp;action=edit&amp;section=4\" title=\"Edit section: References\">\n         edit\n        </a>\n        <span class=\"mw-editsection-bracket\">\n         ]\n        </span>\n       </span>\n      </h2>\n      <div class=\"mw-references-wrap\">\n       <ol class=\"references\">\n        <li id=\"cite_note-1\">\n         <span class=\"mw-cite-backlink\">\n          <b>\n           <a href=\"#cite_ref-1\">\n            ^\n           </a>\n          </b>\n         </span>\n         <span class=\"reference-text\">\n          <cite class=\"citation web\">\n           Canada Post.\n           <a class=\"external text\" href=\"https://www.canadapost.ca/cpotools/apps/fpc/personal/findByCity?execution=e2s1\" rel=\"nofollow\">\n            \"Canada Post - Find a Postal Code\"\n           </a>\n           <span class=\"reference-accessdate\">\n            . Retrieved\n            <span class=\"nowrap\">\n             9 November\n            </span>\n            2008\n           </span>\n           .\n          </cite>\n          <span class=\"Z3988\" title=\"ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Canada+Post+-+Find+a+Postal+Code&amp;rft.au=Canada+Post&amp;rft_id=https%3A%2F%2Fwww.canadapost.ca%2Fcpotools%2Fapps%2Ffpc%2Fpersonal%2FfindByCity%3Fexecution%3De2s1&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3AList+of+postal+codes+of+Canada%3A+M\">\n          </span>\n          <style data-mw-deduplicate=\"TemplateStyles:r886058088\">\n           .mw-parser-output cite.citation{font-style:inherit}.mw-parser-output .citation q{quotes:\"\\\"\"\"\\\"\"\"'\"\"'\"}.mw-parser-output .citation .cs1-lock-free a{background:url(\"//upload.wikimedia.org/wikipedia/commons/thumb/6/65/Lock-green.svg/9px-Lock-green.svg.png\")no-repeat;background-position:right .1em center}.mw-parser-output .citation .cs1-lock-limited a,.mw-parser-output .citation .cs1-lock-registration a{background:url(\"//upload.wikimedia.org/wikipedia/commons/thumb/d/d6/Lock-gray-alt-2.svg/9px-Lock-gray-alt-2.svg.png\")no-repeat;background-position:right .1em center}.mw-parser-output .citation .cs1-lock-subscription a{background:url(\"//upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Lock-red-alt-2.svg/9px-Lock-red-alt-2.svg.png\")no-repeat;background-position:right .1em center}.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registration{color:#555}.mw-parser-output .cs1-subscription span,.mw-parser-output .cs1-registration span{border-bottom:1px dotted;cursor:help}.mw-parser-output .cs1-ws-icon a{background:url(\"//upload.wikimedia.org/wikipedia/commons/thumb/4/4c/Wikisource-logo.svg/12px-Wikisource-logo.svg.png\")no-repeat;background-position:right .1em center}.mw-parser-output code.cs1-code{color:inherit;background:inherit;border:inherit;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;font-size:100%}.mw-parser-output .cs1-visible-error{font-size:100%}.mw-parser-output .cs1-maint{display:none;color:#33aa33;margin-left:0.3em}.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registration,.mw-parser-output .cs1-format{font-size:95%}.mw-parser-output .cs1-kern-left,.mw-parser-output .cs1-kern-wl-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right,.mw-parser-output .cs1-kern-wl-right{padding-right:0.2em}\n          </style>\n         </span>\n        </li>\n        <li id=\"cite_note-2\">\n         <span class=\"mw-cite-backlink\">\n          <b>\n           <a href=\"#cite_ref-2\">\n            ^\n           </a>\n          </b>\n         </span>\n         <span class=\"reference-text\">\n          <cite class=\"citation web\">\n           <a class=\"external text\" href=\"https://web.archive.org/web/20110519093024/http://www.canadapost.ca/cpo/mc/personal/tools/mobileapp/default.jsf\" rel=\"nofollow\">\n            \"Mobile Apps\"\n           </a>\n           . Canada Post. Archived from\n           <a class=\"external text\" href=\"http://www.canadapost.ca/cpo/mc/personal/tools/mobileapp/default.jsf\" rel=\"nofollow\">\n            the original\n           </a>\n           on 2011-05-19.\n          </cite>\n          <span class=\"Z3988\" title=\"ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=Mobile+Apps&amp;rft.pub=Canada+Post&amp;rft_id=http%3A%2F%2Fwww.canadapost.ca%2Fcpo%2Fmc%2Fpersonal%2Ftools%2Fmobileapp%2Fdefault.jsf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3AList+of+postal+codes+of+Canada%3A+M\">\n          </span>\n          <link href=\"mw-data:TemplateStyles:r886058088\" rel=\"mw-deduplicated-inline-style\"/>\n         </span>\n        </li>\n        <li id=\"cite_note-statcan-3\">\n         <span class=\"mw-cite-backlink\">\n          ^\n          <a href=\"#cite_ref-statcan_3-0\">\n           <sup>\n            <i>\n             <b>\n              a\n             </b>\n            </i>\n           </sup>\n          </a>\n          <a href=\"#cite_ref-statcan_3-1\">\n           <sup>\n            <i>\n             <b>\n              b\n             </b>\n            </i>\n           </sup>\n          </a>\n         </span>\n         <span class=\"reference-text\">\n          <cite class=\"citation web\">\n           <a class=\"external text\" href=\"http://www12.statcan.ca/english/census06/data/popdwell/Table.cfm?T=1201&amp;SR=1&amp;S=0&amp;O=A&amp;RPP=9999&amp;PR=0&amp;CMA=0\" rel=\"nofollow\">\n            \"2006 Census of Population\"\n           </a>\n           . 15 October 2008.\n          </cite>\n          <span class=\"Z3988\" title=\"ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=2006+Census+of+Population&amp;rft.date=2008-10-15&amp;rft_id=http%3A%2F%2Fwww12.statcan.ca%2Fenglish%2Fcensus06%2Fdata%2Fpopdwell%2FTable.cfm%3FT%3D1201%26SR%3D1%26S%3D0%26O%3DA%26RPP%3D9999%26PR%3D0%26CMA%3D0&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3AList+of+postal+codes+of+Canada%3A+M\">\n          </span>\n          <link href=\"mw-data:TemplateStyles:r886058088\" rel=\"mw-deduplicated-inline-style\"/>\n         </span>\n        </li>\n       </ol>\n      </div>\n      <table class=\"navbox\">\n       <tbody>\n        <tr>\n         <td style=\"width:36px; text-align:center\">\n          <a class=\"image\" href=\"/wiki/File:Flag_of_Canada.svg\" title=\"Flag of Canada\">\n           <img alt=\"Flag of Canada\" data-file-height=\"600\" data-file-width=\"1200\" decoding=\"async\" height=\"18\" src=\"//upload.wikimedia.org/wikipedia/en/thumb/c/cf/Flag_of_Canada.svg/36px-Flag_of_Canada.svg.png\" srcset=\"//upload.wikimedia.org/wikipedia/en/thumb/c/cf/Flag_of_Canada.svg/54px-Flag_of_Canada.svg.png 1.5x, //upload.wikimedia.org/wikipedia/en/thumb/c/cf/Flag_of_Canada.svg/72px-Flag_of_Canada.svg.png 2x\" width=\"36\"/>\n          </a>\n         </td>\n         <th class=\"navbox-title\" style=\"font-size:110%\">\n          <a href=\"/wiki/Postal_codes_in_Canada\" title=\"Postal codes in Canada\">\n           Canadian postal codes\n          </a>\n         </th>\n         <td style=\"width:36px; text-align:center\">\n          <a class=\"image\" href=\"/wiki/File:Canadian_postal_district_map_(without_legends).svg\">\n           <img alt=\"Canadian postal district map (without legends).svg\" data-file-height=\"846\" data-file-width=\"1000\" decoding=\"async\" height=\"18\" src=\"//upload.wikimedia.org/wikipedia/commons/thumb/e/eb/Canadian_postal_district_map_%28without_legends%29.svg/21px-Canadian_postal_district_map_%28without_legends%29.svg.png\" srcset=\"//upload.wikimedia.org/wikipedia/commons/thumb/e/eb/Canadian_postal_district_map_%28without_legends%29.svg/32px-Canadian_postal_district_map_%28without_legends%29.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/e/eb/Canadian_postal_district_map_%28without_legends%29.svg/43px-Canadian_postal_district_map_%28without_legends%29.svg.png 2x\" width=\"21\"/>\n          </a>\n         </td>\n        </tr>\n        <tr>\n         <td colspan=\"3\" style=\"text-align:center; font-size: 100%;\">\n          <table cellspacing=\"0\" style=\"background-color: #F8F8F8;\" width=\"100%\">\n           <tbody>\n            <tr>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Newfoundland_and_Labrador\" title=\"Newfoundland and Labrador\">\n               NL\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Nova_Scotia\" title=\"Nova Scotia\">\n               NS\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Prince_Edward_Island\" title=\"Prince Edward Island\">\n               PE\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/New_Brunswick\" title=\"New Brunswick\">\n               NB\n              </a>\n             </td>\n             <td colspan=\"3\" style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Quebec\" title=\"Quebec\">\n               QC\n              </a>\n             </td>\n             <td colspan=\"5\" style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Ontario\" title=\"Ontario\">\n               ON\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Manitoba\" title=\"Manitoba\">\n               MB\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Saskatchewan\" title=\"Saskatchewan\">\n               SK\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Alberta\" title=\"Alberta\">\n               AB\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/British_Columbia\" title=\"British Columbia\">\n               BC\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Nunavut\" title=\"Nunavut\">\n               NU\n              </a>\n              /\n              <a href=\"/wiki/Northwest_Territories\" title=\"Northwest Territories\">\n               NT\n              </a>\n             </td>\n             <td style=\"text-align:center; border:1px solid #aaa;\">\n              <a href=\"/wiki/Yukon\" title=\"Yukon\">\n               YT\n              </a>\n             </td>\n            </tr>\n            <tr>\n             <td align=\"center\" style=\"border: 1px solid #FF0000; background-color: #FFE0E0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_A\" title=\"List of postal codes of Canada: A\">\n               A\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #FF4000; background-color: #FFE8E0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_B\" title=\"List of postal codes of Canada: B\">\n               B\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #FF8000; background-color: #FFF0E0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_C\" title=\"List of postal codes of Canada: C\">\n               C\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #FFC000; background-color: #FFF8E0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_E\" title=\"List of postal codes of Canada: E\">\n               E\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #FFFF00; background-color: #FFFFE0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_G\" title=\"List of postal codes of Canada: G\">\n               G\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #C0FF00; background-color: #F8FFE0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_H\" title=\"List of postal codes of Canada: H\">\n               H\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #80FF00; background-color: #F0FFE0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_J\" title=\"List of postal codes of Canada: J\">\n               J\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #00FF00; background-color: #E0FFE0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_K\" title=\"List of postal codes of Canada: K\">\n               K\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #00FF80; background-color: #E0FFF0; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_L\" title=\"List of postal codes of Canada: L\">\n               L\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #E0FFF8; background-color: #00FFC0; font-size: 135%; color: black;\" width=\"5%\">\n              <a class=\"mw-selflink selflink\">\n               M\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #00FFE0; background-color: #E0FFFC; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_N\" title=\"List of postal codes of Canada: N\">\n               N\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #00FFFF; background-color: #E0FFFF; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_P\" title=\"List of postal codes of Canada: P\">\n               P\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #00C0FF; background-color: #E0F8FF; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_R\" title=\"List of postal codes of Canada: R\">\n               R\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #0080FF; background-color: #E0F0FF; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_S\" title=\"List of postal codes of Canada: S\">\n               S\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #0040FF; background-color: #E0E8FF; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_T\" title=\"List of postal codes of Canada: T\">\n               T\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #0000FF; background-color: #E0E0FF; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_V\" title=\"List of postal codes of Canada: V\">\n               V\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #A000FF; background-color: #E8E0FF; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_X\" title=\"List of postal codes of Canada: X\">\n               X\n              </a>\n             </td>\n             <td align=\"center\" style=\"border: 1px solid #FF00FF; background-color: #FFE0FF; font-size: 135%;\" width=\"5%\">\n              <a href=\"/wiki/List_of_postal_codes_of_Canada:_Y\" title=\"List of postal codes of Canada: Y\">\n               Y\n              </a>\n             </td>\n            </tr>\n           </tbody>\n          </table>\n         </td>\n        </tr>\n       </tbody>\n      </table>\n      <!-- \nNewPP limit report\nParsed by mw1241\nCached time: 20190423143741\nCache expiry: 2592000\nDynamic content: false\nCPU time usage: 0.240 seconds\nReal time usage: 0.276 seconds\nPreprocessor visited node count: 575/1000000\nPreprocessor generated node count: 0/1500000\nPost\u2010expand include size: 10232/2097152 bytes\nTemplate argument size: 13/2097152 bytes\nHighest expansion depth: 4/40\nExpensive parser function count: 0/500\nUnstrip recursion depth: 1/20\nUnstrip post\u2010expand size: 9025/5000000 bytes\nNumber of Wikibase entities loaded: 0/400\nLua time usage: 0.066/10.000 seconds\nLua memory usage: 1.71 MB/50 MB\n-->\n      <!--\nTransclusion expansion time report (%,ms,calls,template)\n100.00%  123.545      1 -total\n 80.77%   99.782      3 Template:Cite_web\n  4.86%    5.999      1 Template:Col-2\n  4.26%    5.262      1 Template:Canadian_postal_codes\n  2.71%    3.342      1 Template:Col-break\n  2.06%    2.544      2 Template:Col-end\n  2.00%    2.470      1 Template:Col-begin\n-->\n      <!-- Saved in parser cache with key enwiki:pcache:idhash:539066-0!canonical and timestamp 20190423143741 and revision id 890001695\n -->\n     </div>\n     <noscript>\n      <img alt=\"\" height=\"1\" src=\"//en.wikipedia.org/wiki/Special:CentralAutoLogin/start?type=1x1\" style=\"border: none; 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                }
            ], 
            "source": "url = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\nsource = requests.get(url).text\nsoup = BeautifulSoup(source, 'lxml') #parse html and xml\nprint (soup.prettify()) #html tags hierachical arrangement"
        }, 
        {
            "source": "### Remove html tags and irrelevant data", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 12, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# Scrape the HTML\nPostalCodeList = []\nBoroughList = []\nNeighborhoodList = []\n\nfor row in soup.find('table').find_all('tr'):\n    cell = row.find_all('td')\n    if(len(cell) > 0):\n        PostalCodeList.append(cell[0].text)\n        BoroughList.append(cell[1].text)\n        NeighborhoodList.append(cell[2].text.rstrip('\\n'))"
        }, 
        {
            "source": "### Read the data into a panda dataframe", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 13, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 13, 
                    "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>Borough</th>\n      <th>Neighborhood</th>\n      <th>Postal Code</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n      <td>M1A</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n      <td>M2A</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>North York</td>\n      <td>Parkwoods</td>\n      <td>M3A</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>North York</td>\n      <td>Victoria Village</td>\n      <td>M4A</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront</td>\n      <td>M5A</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "            Borough      Neighborhood Postal Code\n0      Not assigned      Not assigned         M1A\n1      Not assigned      Not assigned         M2A\n2        North York         Parkwoods         M3A\n3        North York  Victoria Village         M4A\n4  Downtown Toronto      Harbourfront         M5A"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Put the scraped data into dataframe\nTorontoNeighorhood = [('Postal Code', PostalCodeList),\n                      ('Borough', BoroughList),\n                      ('Neighborhood', NeighborhoodList)]\nToronto_df = pd.DataFrame.from_dict(dict(TorontoNeighorhood))\nToronto_df.head()"
        }, 
        {
            "source": "### Remove rows without Borough data", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 14, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 14, 
                    "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>Borough</th>\n      <th>Neighborhood</th>\n      <th>Postal Code</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>North York</td>\n      <td>Parkwoods</td>\n      <td>M3A</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>North York</td>\n      <td>Victoria Village</td>\n      <td>M4A</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront</td>\n      <td>M5A</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Downtown Toronto</td>\n      <td>Regent Park</td>\n      <td>M5A</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>North York</td>\n      <td>Lawrence Heights</td>\n      <td>M6A</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "            Borough      Neighborhood Postal Code\n0        North York         Parkwoods         M3A\n1        North York  Victoria Village         M4A\n2  Downtown Toronto      Harbourfront         M5A\n3  Downtown Toronto       Regent Park         M5A\n4        North York  Lawrence Heights         M6A"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Remove not assigned rows \nTorontoDropna_df = Toronto_df[Toronto_df.Borough != 'Not assigned'].reset_index(drop=True)\nTorontoDropna_df.head()"
        }, 
        {
            "execution_count": 15, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 15, 
                    "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge,Malvern</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek,Rouge Hill,Port Union</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>Scarborough</td>\n      <td>Guildwood,Morningside,West Hill</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>Scarborough</td>\n      <td>Woburn</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>Scarborough</td>\n      <td>Cedarbrae</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postal Code      Borough                          Neighborhood\n0         M1B  Scarborough                         Rouge,Malvern\n1         M1C  Scarborough  Highland Creek,Rouge Hill,Port Union\n2         M1E  Scarborough       Guildwood,Morningside,West Hill\n3         M1G  Scarborough                                Woburn\n4         M1H  Scarborough                             Cedarbrae"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Group neighborhoods by postal and borough\nTorontoGrouped_df = TorontoDropna_df.groupby(['Postal Code','Borough'], as_index=False).agg(lambda x: ','.join(x))\nTorontoGrouped_df.head()"
        }, 
        {
            "execution_count": 16, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 16, 
                    "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>85</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": "   Postal Code       Borough  Neighborhood\n85         M7A  Queen's Park  Queen's Park"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Deal with Not assigned Neighborhood\nneigh_rows = TorontoGrouped_df.Neighborhood == 'Not assigned'\nTorontoGrouped_df.loc[neigh_rows, 'Neighborhood'] = TorontoGrouped_df.loc[neigh_rows, 'Borough']\nTorontoGrouped_df[neigh_rows]"
        }, 
        {
            "execution_count": 17, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 17, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(103, 3)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# DateFrame cleaned\nTorontoCleaned_df = TorontoGrouped_df\nTorontoCleaned_df.shape"
        }, 
        {
            "source": "### Get Geospatial data and read it into dataframe", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 19, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Data downloaded!\n"
                }
            ], 
            "source": "# Download geo coordinates data to CSV\n!wget -q -O 'geo_coord.csv' http://cocl.us/Geospatial_data\nprint('Data downloaded!')"
        }, 
        {
            "execution_count": 21, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 21, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(103, 3)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "#Read Data into data frame\nTorontoCoordinates = pd.read_csv('geo_coord.csv')\nTorontoCoordinates.shape"
        }, 
        {
            "source": "### Merge Toronto and Geo Coordinates dataframe", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 22, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# Merge two dataframes\nTorontoIndex = TorontoCleaned_df.set_index('Postal Code')\nCoordinatesIndex = TorontoCoordinates.set_index('Postal Code')\nTorontoCoordinates_df = pd.concat([TorontoIndex, CoordinatesIndex], axis=1, join='inner')"
        }, 
        {
            "execution_count": 23, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# Reset index\nTorontoCoordinates_df.index.name = 'Postal Code'\nTorontoCoordinates_df.reset_index(inplace=True)"
        }, 
        {
            "execution_count": 24, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 24, 
                    "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge,Malvern</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek,Rouge Hill,Port Union</td>\n      <td>43.784535</td>\n      <td>-79.160497</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>Scarborough</td>\n      <td>Guildwood,Morningside,West Hill</td>\n      <td>43.763573</td>\n      <td>-79.188711</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>Scarborough</td>\n      <td>Woburn</td>\n      <td>43.770992</td>\n      <td>-79.216917</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>Scarborough</td>\n      <td>Cedarbrae</td>\n      <td>43.773136</td>\n      <td>-79.239476</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postal Code      Borough                          Neighborhood   Latitude  \\\n0         M1B  Scarborough                         Rouge,Malvern  43.806686   \n1         M1C  Scarborough  Highland Creek,Rouge Hill,Port Union  43.784535   \n2         M1E  Scarborough       Guildwood,Morningside,West Hill  43.763573   \n3         M1G  Scarborough                                Woburn  43.770992   \n4         M1H  Scarborough                             Cedarbrae  43.773136   \n\n   Longitude  \n0 -79.194353  \n1 -79.160497  \n2 -79.188711  \n3 -79.216917  \n4 -79.239476  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "#Check the Toronto dataframe\n\nTorontoCoordinates_df.head()"
        }, 
        {
            "source": "### Find the geograpical coordinates of Toronto", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 25, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "The geograpical coordinates of Toronto are 43.653963, -79.387207.\n"
                }
            ], 
            "source": "# Find the geograpical coordinates of Toronto\naddress = 'Toronto, Ontario'\n\ngeolocator = Nominatim(user_agent=\"tl-toronto-neigh\")\nlocation = geolocator.geocode(address)\nlatitude = location.latitude\nlongitude = location.longitude\nprint('The geograpical coordinates of Toronto are {}, {}.'.format(latitude, longitude))"
        }, 
        {
            "source": "### Visualize Toronto with Boroughs Markers", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 28, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 28, 
                    "metadata": {}, 
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                var html_fa0e7a05e7ef4395bbf1228f815fbe1f = $('<div id="html_fa0e7a05e7ef4395bbf1228f815fbe1f" style="width: 100.0%; height: 100.0%;">Scarborough (M1B): Rouge,Malvern</div>')[0];
                popup_53a69a03e18c46cebab8729e5fc800d4.setContent(html_fa0e7a05e7ef4395bbf1228f815fbe1f);
            

            circle_marker_ba1e4ecdcff1497396f928fdd4c0cab2.bindPopup(popup_53a69a03e18c46cebab8729e5fc800d4);

            
        
    
            var circle_marker_49b2c2233ac1430f8e5c39c542993963 = L.circleMarker(
                [43.7845351,-79.16049709999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c1817e806139418d840a2d51732eccc5 = L.popup({maxWidth: '300'});

            
                var html_83d312d2efe149bbab007368cf03418c = $('<div id="html_83d312d2efe149bbab007368cf03418c" style="width: 100.0%; height: 100.0%;">Scarborough (M1C): Highland Creek,Rouge Hill,Port Union</div>')[0];
                popup_c1817e806139418d840a2d51732eccc5.setContent(html_83d312d2efe149bbab007368cf03418c);
            

            circle_marker_49b2c2233ac1430f8e5c39c542993963.bindPopup(popup_c1817e806139418d840a2d51732eccc5);

            
        
    
            var circle_marker_93474be1384b4ce9a4a3c7f70412193b = L.circleMarker(
                [43.7635726,-79.1887115],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_b3e705091cc5416b9a0457faecaa8c81 = L.popup({maxWidth: '300'});

            
                var html_467536d465f34f44884143d640011705 = $('<div id="html_467536d465f34f44884143d640011705" style="width: 100.0%; height: 100.0%;">Scarborough (M1E): Guildwood,Morningside,West Hill</div>')[0];
                popup_b3e705091cc5416b9a0457faecaa8c81.setContent(html_467536d465f34f44884143d640011705);
            

            circle_marker_93474be1384b4ce9a4a3c7f70412193b.bindPopup(popup_b3e705091cc5416b9a0457faecaa8c81);

            
        
    
            var circle_marker_0462e9aefc8c4a269135ed1d323632c5 = L.circleMarker(
                [43.7709921,-79.21691740000001],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_cc3f6aaf1e4844be8d894efb0db125d8 = L.popup({maxWidth: '300'});

            
                var html_8aeb8a9de41149feadc1f7e95b4b9d70 = $('<div id="html_8aeb8a9de41149feadc1f7e95b4b9d70" style="width: 100.0%; height: 100.0%;">Scarborough (M1G): Woburn</div>')[0];
                popup_cc3f6aaf1e4844be8d894efb0db125d8.setContent(html_8aeb8a9de41149feadc1f7e95b4b9d70);
            

            circle_marker_0462e9aefc8c4a269135ed1d323632c5.bindPopup(popup_cc3f6aaf1e4844be8d894efb0db125d8);

            
        
    
            var circle_marker_53dc5a986d864507bac6e792f10b3879 = L.circleMarker(
                [43.773136,-79.23947609999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_64e471d280c24191b13bc0a56a92e774 = L.popup({maxWidth: '300'});

            
                var html_6c2f581230924060977f02e3a06d9736 = $('<div id="html_6c2f581230924060977f02e3a06d9736" style="width: 100.0%; height: 100.0%;">Scarborough (M1H): Cedarbrae</div>')[0];
                popup_64e471d280c24191b13bc0a56a92e774.setContent(html_6c2f581230924060977f02e3a06d9736);
            

            circle_marker_53dc5a986d864507bac6e792f10b3879.bindPopup(popup_64e471d280c24191b13bc0a56a92e774);

            
        
    
            var circle_marker_c62265593ebd4678829e41efffb58b3a = L.circleMarker(
                [43.7447342,-79.23947609999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_6aa6beb43dee4b04bf3f18f1e0242738 = L.popup({maxWidth: '300'});

            
                var html_db61cd7967894f449015ac1e4be7690d = $('<div id="html_db61cd7967894f449015ac1e4be7690d" style="width: 100.0%; height: 100.0%;">Scarborough (M1J): Scarborough Village</div>')[0];
                popup_6aa6beb43dee4b04bf3f18f1e0242738.setContent(html_db61cd7967894f449015ac1e4be7690d);
            

            circle_marker_c62265593ebd4678829e41efffb58b3a.bindPopup(popup_6aa6beb43dee4b04bf3f18f1e0242738);

            
        
    
            var circle_marker_75a0579a55d3423f8bba09056f33e0aa = L.circleMarker(
                [43.7279292,-79.26202940000002],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_cfba0df3a4e9434f8d4fc395ec5f4730 = L.popup({maxWidth: '300'});

            
                var html_974ad304e01f4a5ab9b31d2babb670e9 = $('<div id="html_974ad304e01f4a5ab9b31d2babb670e9" style="width: 100.0%; height: 100.0%;">Scarborough (M1K): East Birchmount Park,Ionview,Kennedy Park</div>')[0];
                popup_cfba0df3a4e9434f8d4fc395ec5f4730.setContent(html_974ad304e01f4a5ab9b31d2babb670e9);
            

            circle_marker_75a0579a55d3423f8bba09056f33e0aa.bindPopup(popup_cfba0df3a4e9434f8d4fc395ec5f4730);

            
        
    
            var circle_marker_73348e00163b4b75987964a48ba95a8d = L.circleMarker(
                [43.711111700000004,-79.2845772],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_1d6b649a54674a41b2eb089122b391df = L.popup({maxWidth: '300'});

            
                var html_5fa438791349420391ae4db2bc59e354 = $('<div id="html_5fa438791349420391ae4db2bc59e354" style="width: 100.0%; height: 100.0%;">Scarborough (M1L): Clairlea,Golden Mile,Oakridge</div>')[0];
                popup_1d6b649a54674a41b2eb089122b391df.setContent(html_5fa438791349420391ae4db2bc59e354);
            

            circle_marker_73348e00163b4b75987964a48ba95a8d.bindPopup(popup_1d6b649a54674a41b2eb089122b391df);

            
        
    
            var circle_marker_68c7f1b9100446a297ed782a3f482dc8 = L.circleMarker(
                [43.716316,-79.23947609999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_4d6e6fe3498344039b98644b8c75b6c0 = L.popup({maxWidth: '300'});

            
                var html_340cb00d0d38400da775bdc1738b78b4 = $('<div id="html_340cb00d0d38400da775bdc1738b78b4" style="width: 100.0%; height: 100.0%;">Scarborough (M1M): Cliffcrest,Cliffside,Scarborough Village West</div>')[0];
                popup_4d6e6fe3498344039b98644b8c75b6c0.setContent(html_340cb00d0d38400da775bdc1738b78b4);
            

            circle_marker_68c7f1b9100446a297ed782a3f482dc8.bindPopup(popup_4d6e6fe3498344039b98644b8c75b6c0);

            
        
    
            var circle_marker_a8bddbda3bfa4b11b9033013c43cfce3 = L.circleMarker(
                [43.692657000000004,-79.2648481],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_defdb8d9076a43f3bb18630433c65642 = L.popup({maxWidth: '300'});

            
                var html_0f0533fee40849a1b5471d36d5cd952a = $('<div id="html_0f0533fee40849a1b5471d36d5cd952a" style="width: 100.0%; height: 100.0%;">Scarborough (M1N): Birch Cliff,Cliffside West</div>')[0];
                popup_defdb8d9076a43f3bb18630433c65642.setContent(html_0f0533fee40849a1b5471d36d5cd952a);
            

            circle_marker_a8bddbda3bfa4b11b9033013c43cfce3.bindPopup(popup_defdb8d9076a43f3bb18630433c65642);

            
        
    
            var circle_marker_1ecc7f033723487e90ba5c2d748108f3 = L.circleMarker(
                [43.7574096,-79.27330400000001],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_73f2d360afe640d8a33c7de2677369bf = L.popup({maxWidth: '300'});

            
                var html_522051f30fd54e33a954ca89d144f2d9 = $('<div id="html_522051f30fd54e33a954ca89d144f2d9" style="width: 100.0%; height: 100.0%;">Scarborough (M1P): Dorset Park,Scarborough Town Centre,Wexford Heights</div>')[0];
                popup_73f2d360afe640d8a33c7de2677369bf.setContent(html_522051f30fd54e33a954ca89d144f2d9);
            

            circle_marker_1ecc7f033723487e90ba5c2d748108f3.bindPopup(popup_73f2d360afe640d8a33c7de2677369bf);

            
        
    
            var circle_marker_c2e820ea9563459089d3192b0ee02917 = L.circleMarker(
                [43.750071500000004,-79.2958491],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_cc2495766d134e91838c90028091b90d = L.popup({maxWidth: '300'});

            
                var html_ddf04c538cb64ae29239b4520ebe7e8a = $('<div id="html_ddf04c538cb64ae29239b4520ebe7e8a" style="width: 100.0%; height: 100.0%;">Scarborough (M1R): Maryvale,Wexford</div>')[0];
                popup_cc2495766d134e91838c90028091b90d.setContent(html_ddf04c538cb64ae29239b4520ebe7e8a);
            

            circle_marker_c2e820ea9563459089d3192b0ee02917.bindPopup(popup_cc2495766d134e91838c90028091b90d);

            
        
    
            var circle_marker_0cb5078610bc407f95d2d865bbab0b61 = L.circleMarker(
                [43.7942003,-79.26202940000002],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c2796e7f7055433787908415a90a9287 = L.popup({maxWidth: '300'});

            
                var html_edd89a6e188642588f92bb02cce305b6 = $('<div id="html_edd89a6e188642588f92bb02cce305b6" style="width: 100.0%; height: 100.0%;">Scarborough (M1S): Agincourt</div>')[0];
                popup_c2796e7f7055433787908415a90a9287.setContent(html_edd89a6e188642588f92bb02cce305b6);
            

            circle_marker_0cb5078610bc407f95d2d865bbab0b61.bindPopup(popup_c2796e7f7055433787908415a90a9287);

            
        
    
            var circle_marker_e0778e81f69b4e40aacc29e2231f307e = L.circleMarker(
                [43.7816375,-79.3043021],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_3dfa3e97c878448a8d291de49754db2b = L.popup({maxWidth: '300'});

            
                var html_3963ffb272df4c96a4f8b62d78697f56 = $('<div id="html_3963ffb272df4c96a4f8b62d78697f56" style="width: 100.0%; height: 100.0%;">Scarborough (M1T): Clarks Corners,Sullivan,Tam O&#39;Shanter</div>')[0];
                popup_3dfa3e97c878448a8d291de49754db2b.setContent(html_3963ffb272df4c96a4f8b62d78697f56);
            

            circle_marker_e0778e81f69b4e40aacc29e2231f307e.bindPopup(popup_3dfa3e97c878448a8d291de49754db2b);

            
        
    
            var circle_marker_6130f146991840b79663358cf382e40e = L.circleMarker(
                [43.8152522,-79.2845772],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_37292ffefc7a44bda9e79309fc2cdbdb = L.popup({maxWidth: '300'});

            
                var html_9f91b9280698442e9a422c1fad0648f6 = $('<div id="html_9f91b9280698442e9a422c1fad0648f6" style="width: 100.0%; height: 100.0%;">Scarborough (M1V): Agincourt North,L&#39;Amoreaux East,Milliken,Steeles East</div>')[0];
                popup_37292ffefc7a44bda9e79309fc2cdbdb.setContent(html_9f91b9280698442e9a422c1fad0648f6);
            

            circle_marker_6130f146991840b79663358cf382e40e.bindPopup(popup_37292ffefc7a44bda9e79309fc2cdbdb);

            
        
    
            var circle_marker_7ec47da453ce43988db3e192f62a6f13 = L.circleMarker(
                [43.799525200000005,-79.3183887],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_008a7d042ca6400c9465bf3050b7237a = L.popup({maxWidth: '300'});

            
                var html_37da35fceac741de9589adbf06e73164 = $('<div id="html_37da35fceac741de9589adbf06e73164" style="width: 100.0%; height: 100.0%;">Scarborough (M1W): L&#39;Amoreaux West</div>')[0];
                popup_008a7d042ca6400c9465bf3050b7237a.setContent(html_37da35fceac741de9589adbf06e73164);
            

            circle_marker_7ec47da453ce43988db3e192f62a6f13.bindPopup(popup_008a7d042ca6400c9465bf3050b7237a);

            
        
    
            var circle_marker_a1e13e811865434da3d9b38ae12cc396 = L.circleMarker(
                [43.836124700000006,-79.20563609999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_8e2c75622a54477ca41e9b34ef57d942 = L.popup({maxWidth: '300'});

            
                var html_c52773a1271b4eeb8b4e11a677877702 = $('<div id="html_c52773a1271b4eeb8b4e11a677877702" style="width: 100.0%; height: 100.0%;">Scarborough (M1X): Upper Rouge</div>')[0];
                popup_8e2c75622a54477ca41e9b34ef57d942.setContent(html_c52773a1271b4eeb8b4e11a677877702);
            

            circle_marker_a1e13e811865434da3d9b38ae12cc396.bindPopup(popup_8e2c75622a54477ca41e9b34ef57d942);

            
        
    
            var circle_marker_a795c92e5e8040a29d678af829ac9735 = L.circleMarker(
                [43.8037622,-79.3634517],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_e4afa39fe7564317bc82fb49c07274cc = L.popup({maxWidth: '300'});

            
                var html_608e661d21504aae9bc87e8ba88b99d8 = $('<div id="html_608e661d21504aae9bc87e8ba88b99d8" style="width: 100.0%; height: 100.0%;">North York (M2H): Hillcrest Village</div>')[0];
                popup_e4afa39fe7564317bc82fb49c07274cc.setContent(html_608e661d21504aae9bc87e8ba88b99d8);
            

            circle_marker_a795c92e5e8040a29d678af829ac9735.bindPopup(popup_e4afa39fe7564317bc82fb49c07274cc);

            
        
    
            var circle_marker_a3ba05f9cce54f469704e3417d8863ef = L.circleMarker(
                [43.7785175,-79.3465557],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_bdca46471f084045b820bd0926e2c7fe = L.popup({maxWidth: '300'});

            
                var html_1283f967eccf439b9bbc8616af451f26 = $('<div id="html_1283f967eccf439b9bbc8616af451f26" style="width: 100.0%; height: 100.0%;">North York (M2J): Fairview,Henry Farm,Oriole</div>')[0];
                popup_bdca46471f084045b820bd0926e2c7fe.setContent(html_1283f967eccf439b9bbc8616af451f26);
            

            circle_marker_a3ba05f9cce54f469704e3417d8863ef.bindPopup(popup_bdca46471f084045b820bd0926e2c7fe);

            
        
    
            var circle_marker_7d7b90af364c4241bdf0b23266a8fc30 = L.circleMarker(
                [43.7869473,-79.385975],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_05bac93be3884131a95324cbc6f51916 = L.popup({maxWidth: '300'});

            
                var html_20aeb8e2f5714db2a32e1a7de6a62a8a = $('<div id="html_20aeb8e2f5714db2a32e1a7de6a62a8a" style="width: 100.0%; height: 100.0%;">North York (M2K): Bayview Village</div>')[0];
                popup_05bac93be3884131a95324cbc6f51916.setContent(html_20aeb8e2f5714db2a32e1a7de6a62a8a);
            

            circle_marker_7d7b90af364c4241bdf0b23266a8fc30.bindPopup(popup_05bac93be3884131a95324cbc6f51916);

            
        
    
            var circle_marker_6130dfc5e28a409faee7ff338a30ce83 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_9e640c562abf485c9491d533d3be5436 = L.popup({maxWidth: '300'});

            
                var html_e8e5567bc53c496782dc2c0e3659abfc = $('<div id="html_e8e5567bc53c496782dc2c0e3659abfc" style="width: 100.0%; height: 100.0%;">North York (M2L): Silver Hills,York Mills</div>')[0];
                popup_9e640c562abf485c9491d533d3be5436.setContent(html_e8e5567bc53c496782dc2c0e3659abfc);
            

            circle_marker_6130dfc5e28a409faee7ff338a30ce83.bindPopup(popup_9e640c562abf485c9491d533d3be5436);

            
        
    
            var circle_marker_e82f10cd6bd74e6391a0e99874568806 = L.circleMarker(
                [43.789053,-79.40849279999999],
                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_152f89f97fd14267ab8c07c50289f929 = L.popup({maxWidth: '300'});

            
                var html_c935d7244c174253979618e978b4f141 = $('<div id="html_c935d7244c174253979618e978b4f141" style="width: 100.0%; height: 100.0%;">North York (M2M): Newtonbrook,Willowdale</div>')[0];
                popup_152f89f97fd14267ab8c07c50289f929.setContent(html_c935d7244c174253979618e978b4f141);
            

            circle_marker_e82f10cd6bd74e6391a0e99874568806.bindPopup(popup_152f89f97fd14267ab8c07c50289f929);

            
        
    
            var circle_marker_f3045436b2294904888f5a9bfa9c1523 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_be57a3f0dde34ac0912ec314721b3b81 = L.popup({maxWidth: '300'});

            
                var html_b4ee610e802c418e8127e97e7b5422b6 = $('<div id="html_b4ee610e802c418e8127e97e7b5422b6" style="width: 100.0%; height: 100.0%;">North York (M2N): Willowdale South</div>')[0];
                popup_be57a3f0dde34ac0912ec314721b3b81.setContent(html_b4ee610e802c418e8127e97e7b5422b6);
            

            circle_marker_f3045436b2294904888f5a9bfa9c1523.bindPopup(popup_be57a3f0dde34ac0912ec314721b3b81);

            
        
    
            var circle_marker_4f9d75419025461790841cd4a8839675 = L.circleMarker(
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_bbcb575082b1425c9eb3e7a4fc9fadc5 = L.popup({maxWidth: '300'});

            
                var html_1b8566a81c674599b06246d12769ce58 = $('<div id="html_1b8566a81c674599b06246d12769ce58" style="width: 100.0%; height: 100.0%;">North York (M2P): York Mills West</div>')[0];
                popup_bbcb575082b1425c9eb3e7a4fc9fadc5.setContent(html_1b8566a81c674599b06246d12769ce58);
            

            circle_marker_4f9d75419025461790841cd4a8839675.bindPopup(popup_bbcb575082b1425c9eb3e7a4fc9fadc5);

            
        
    
            var circle_marker_b5378efddbe14d6f9b2a3e4f964662ad = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_9a37a426169c440b868e732a48a97982 = L.popup({maxWidth: '300'});

            
                var html_db477a2726e14eacb0c424f6ab043ffd = $('<div id="html_db477a2726e14eacb0c424f6ab043ffd" style="width: 100.0%; height: 100.0%;">North York (M2R): Willowdale West</div>')[0];
                popup_9a37a426169c440b868e732a48a97982.setContent(html_db477a2726e14eacb0c424f6ab043ffd);
            

            circle_marker_b5378efddbe14d6f9b2a3e4f964662ad.bindPopup(popup_9a37a426169c440b868e732a48a97982);

            
        
    
            var circle_marker_5042990ef179444aa700568718b2f980 = L.circleMarker(
                [43.7532586,-79.3296565],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_fd142c7f2c474822ac17dec3436f9e2c = L.popup({maxWidth: '300'});

            
                var html_2e39ef5c87a344998602b8a6c1315363 = $('<div id="html_2e39ef5c87a344998602b8a6c1315363" style="width: 100.0%; height: 100.0%;">North York (M3A): Parkwoods</div>')[0];
                popup_fd142c7f2c474822ac17dec3436f9e2c.setContent(html_2e39ef5c87a344998602b8a6c1315363);
            

            circle_marker_5042990ef179444aa700568718b2f980.bindPopup(popup_fd142c7f2c474822ac17dec3436f9e2c);

            
        
    
            var circle_marker_e680227faa024d24b708c088eae47cc5 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_a250afe5e7a94f59822cf5f84a8ee9ce = L.popup({maxWidth: '300'});

            
                var html_ddb5787ee7f04b489cb78ebecc39b685 = $('<div id="html_ddb5787ee7f04b489cb78ebecc39b685" style="width: 100.0%; height: 100.0%;">North York (M3B): Don Mills North</div>')[0];
                popup_a250afe5e7a94f59822cf5f84a8ee9ce.setContent(html_ddb5787ee7f04b489cb78ebecc39b685);
            

            circle_marker_e680227faa024d24b708c088eae47cc5.bindPopup(popup_a250afe5e7a94f59822cf5f84a8ee9ce);

            
        
    
            var circle_marker_f769fb45304240b69e2829d9b5fd55f0 = L.circleMarker(
                [43.72589970000001,-79.340923],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_b643e275536b4fd991339d1a5a611e6b = L.popup({maxWidth: '300'});

            
                var html_9d81f583f47149feb9f85757469c597b = $('<div id="html_9d81f583f47149feb9f85757469c597b" style="width: 100.0%; height: 100.0%;">North York (M3C): Flemingdon Park,Don Mills South</div>')[0];
                popup_b643e275536b4fd991339d1a5a611e6b.setContent(html_9d81f583f47149feb9f85757469c597b);
            

            circle_marker_f769fb45304240b69e2829d9b5fd55f0.bindPopup(popup_b643e275536b4fd991339d1a5a611e6b);

            
        
    
            var circle_marker_5b8148269b6e41bca390d0bc5497619e = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_9dab75b41f054d1aa32b6831be191c2b = L.popup({maxWidth: '300'});

            
                var html_b1e528d0e5634bbd8c02d30bbc94b412 = $('<div id="html_b1e528d0e5634bbd8c02d30bbc94b412" style="width: 100.0%; height: 100.0%;">North York (M3H): Bathurst Manor,Downsview North,Wilson Heights</div>')[0];
                popup_9dab75b41f054d1aa32b6831be191c2b.setContent(html_b1e528d0e5634bbd8c02d30bbc94b412);
            

            circle_marker_5b8148269b6e41bca390d0bc5497619e.bindPopup(popup_9dab75b41f054d1aa32b6831be191c2b);

            
        
    
            var circle_marker_64d411b2477f4b8bbe54c7e39455950a = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_f4debddf47aa4f3abdb0d72fe6f9992d = L.popup({maxWidth: '300'});

            
                var html_e978eeb5befd42ef82aea3b71ac52a5d = $('<div id="html_e978eeb5befd42ef82aea3b71ac52a5d" style="width: 100.0%; height: 100.0%;">North York (M3J): Northwood Park,York University</div>')[0];
                popup_f4debddf47aa4f3abdb0d72fe6f9992d.setContent(html_e978eeb5befd42ef82aea3b71ac52a5d);
            

            circle_marker_64d411b2477f4b8bbe54c7e39455950a.bindPopup(popup_f4debddf47aa4f3abdb0d72fe6f9992d);

            
        
    
            var circle_marker_e89687fd4d594f10b49e6359a3b3b0c2 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_f8c492e3de0847c3922600ca1b302e98 = L.popup({maxWidth: '300'});

            
                var html_fb8ccfc79167425380a7fe526d83f755 = $('<div id="html_fb8ccfc79167425380a7fe526d83f755" style="width: 100.0%; height: 100.0%;">North York (M3K): CFB Toronto,Downsview East</div>')[0];
                popup_f8c492e3de0847c3922600ca1b302e98.setContent(html_fb8ccfc79167425380a7fe526d83f755);
            

            circle_marker_e89687fd4d594f10b49e6359a3b3b0c2.bindPopup(popup_f8c492e3de0847c3922600ca1b302e98);

            
        
    
            var circle_marker_aeecec00339e442bba1430468260233a = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_3d8a9de63a16407a8a7c5342f15c85cd = L.popup({maxWidth: '300'});

            
                var html_e3226a8b352f469f80b1b16f9515b661 = $('<div id="html_e3226a8b352f469f80b1b16f9515b661" style="width: 100.0%; height: 100.0%;">North York (M3L): Downsview West</div>')[0];
                popup_3d8a9de63a16407a8a7c5342f15c85cd.setContent(html_e3226a8b352f469f80b1b16f9515b661);
            

            circle_marker_aeecec00339e442bba1430468260233a.bindPopup(popup_3d8a9de63a16407a8a7c5342f15c85cd);

            
        
    
            var circle_marker_4340b92ba2c6477c9556e404614db71e = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_aa8b7ea3c1b64ea5aa470404b581b89a = L.popup({maxWidth: '300'});

            
                var html_1a6d1ee110b5400b8406694c6956989d = $('<div id="html_1a6d1ee110b5400b8406694c6956989d" style="width: 100.0%; height: 100.0%;">North York (M3M): Downsview Central</div>')[0];
                popup_aa8b7ea3c1b64ea5aa470404b581b89a.setContent(html_1a6d1ee110b5400b8406694c6956989d);
            

            circle_marker_4340b92ba2c6477c9556e404614db71e.bindPopup(popup_aa8b7ea3c1b64ea5aa470404b581b89a);

            
        
    
            var circle_marker_7c3d24548bad4835a7e079cb6a0ae54e = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ae9d0ed6b1ee4ff084d8abbff9a185e1 = L.popup({maxWidth: '300'});

            
                var html_e0c8dd6fff164bd1bd1babfa8addd749 = $('<div id="html_e0c8dd6fff164bd1bd1babfa8addd749" style="width: 100.0%; height: 100.0%;">North York (M3N): Downsview Northwest</div>')[0];
                popup_ae9d0ed6b1ee4ff084d8abbff9a185e1.setContent(html_e0c8dd6fff164bd1bd1babfa8addd749);
            

            circle_marker_7c3d24548bad4835a7e079cb6a0ae54e.bindPopup(popup_ae9d0ed6b1ee4ff084d8abbff9a185e1);

            
        
    
            var circle_marker_4f070c10b6784515a083967a0fd8f413 = L.circleMarker(
                [43.725882299999995,-79.31557159999998],
                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_6171621aa48f43f0aa748cb6f295d62e = L.popup({maxWidth: '300'});

            
                var html_0d6253cea45c4eb2baf24001880c7c15 = $('<div id="html_0d6253cea45c4eb2baf24001880c7c15" style="width: 100.0%; height: 100.0%;">North York (M4A): Victoria Village</div>')[0];
                popup_6171621aa48f43f0aa748cb6f295d62e.setContent(html_0d6253cea45c4eb2baf24001880c7c15);
            

            circle_marker_4f070c10b6784515a083967a0fd8f413.bindPopup(popup_6171621aa48f43f0aa748cb6f295d62e);

            
        
    
            var circle_marker_929c4caa74df412dab541ca8d7c15dd7 = L.circleMarker(
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                {
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c8e500fdce094abcae21102ed168c2f4 = L.popup({maxWidth: '300'});

            
                var html_4f5967b6a48a4093b12199946789962e = $('<div id="html_4f5967b6a48a4093b12199946789962e" style="width: 100.0%; height: 100.0%;">East York (M4B): Woodbine Gardens,Parkview Hill</div>')[0];
                popup_c8e500fdce094abcae21102ed168c2f4.setContent(html_4f5967b6a48a4093b12199946789962e);
            

            circle_marker_929c4caa74df412dab541ca8d7c15dd7.bindPopup(popup_c8e500fdce094abcae21102ed168c2f4);

            
        
    
            var circle_marker_49573452a779416fa0f1da01d09c1123 = L.circleMarker(
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ef6a46e4d3d64f28a40758826af0ea08 = L.popup({maxWidth: '300'});

            
                var html_d9857adde193488eb2f18dc9b10992ce = $('<div id="html_d9857adde193488eb2f18dc9b10992ce" style="width: 100.0%; height: 100.0%;">East York (M4C): Woodbine Heights</div>')[0];
                popup_ef6a46e4d3d64f28a40758826af0ea08.setContent(html_d9857adde193488eb2f18dc9b10992ce);
            

            circle_marker_49573452a779416fa0f1da01d09c1123.bindPopup(popup_ef6a46e4d3d64f28a40758826af0ea08);

            
        
    
            var circle_marker_6c93d365c5e14c149b6b5e4271f3181c = L.circleMarker(
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_793e2408d5244b1697da3ca23f74b270 = L.popup({maxWidth: '300'});

            
                var html_8bbbf123c069407a9dec6d3ef9a4c817 = $('<div id="html_8bbbf123c069407a9dec6d3ef9a4c817" style="width: 100.0%; height: 100.0%;">East Toronto (M4E): The Beaches</div>')[0];
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            circle_marker_6c93d365c5e14c149b6b5e4271f3181c.bindPopup(popup_793e2408d5244b1697da3ca23f74b270);

            
        
    
            var circle_marker_ef7ef2a643494b8fae5adb1f98a50342 = L.circleMarker(
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_1b3bee4331b742f693c2839ef6d6fae3 = L.popup({maxWidth: '300'});

            
                var html_c7b824dac09a42868e00c68d5c679962 = $('<div id="html_c7b824dac09a42868e00c68d5c679962" style="width: 100.0%; height: 100.0%;">East York (M4G): Leaside</div>')[0];
                popup_1b3bee4331b742f693c2839ef6d6fae3.setContent(html_c7b824dac09a42868e00c68d5c679962);
            

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            var circle_marker_3cb25da39fc44c2aa9188273d624acc7 = L.circleMarker(
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_daf45688507e468da933f3dbe394fb8f = L.popup({maxWidth: '300'});

            
                var html_c447ff9150dc4b5986dd74d1fb50be9f = $('<div id="html_c447ff9150dc4b5986dd74d1fb50be9f" style="width: 100.0%; height: 100.0%;">East York (M4H): Thorncliffe Park</div>')[0];
                popup_daf45688507e468da933f3dbe394fb8f.setContent(html_c447ff9150dc4b5986dd74d1fb50be9f);
            

            circle_marker_3cb25da39fc44c2aa9188273d624acc7.bindPopup(popup_daf45688507e468da933f3dbe394fb8f);

            
        
    
            var circle_marker_e13df75f253a4d5d899e749338026b04 = L.circleMarker(
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_b471c235a2bd40e883b94d02238c933a = L.popup({maxWidth: '300'});

            
                var html_0cce55f4fb2c452ea5a04955b803590c = $('<div id="html_0cce55f4fb2c452ea5a04955b803590c" style="width: 100.0%; height: 100.0%;">East York (M4J): East Toronto</div>')[0];
                popup_b471c235a2bd40e883b94d02238c933a.setContent(html_0cce55f4fb2c452ea5a04955b803590c);
            

            circle_marker_e13df75f253a4d5d899e749338026b04.bindPopup(popup_b471c235a2bd40e883b94d02238c933a);

            
        
    
            var circle_marker_5b69e5c9b5584d248a8551c487c3fa20 = L.circleMarker(
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
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  "lineCap": "round",
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  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_5e8bfce0e79c4d3fb3047a94be8c56f7 = L.popup({maxWidth: '300'});

            
                var html_fc9bafe14e9242769d954ca6ad13737d = $('<div id="html_fc9bafe14e9242769d954ca6ad13737d" style="width: 100.0%; height: 100.0%;">East Toronto (M4K): The Danforth West,Riverdale</div>')[0];
                popup_5e8bfce0e79c4d3fb3047a94be8c56f7.setContent(html_fc9bafe14e9242769d954ca6ad13737d);
            

            circle_marker_5b69e5c9b5584d248a8551c487c3fa20.bindPopup(popup_5e8bfce0e79c4d3fb3047a94be8c56f7);

            
        
    
            var circle_marker_e79ac5aaae07493abce0d93db9390e5e = L.circleMarker(
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                {
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c8f04a9b317d42d8b21bc47622d7eda0 = L.popup({maxWidth: '300'});

            
                var html_3cb779636e6d4239b11114354d5de7b6 = $('<div id="html_3cb779636e6d4239b11114354d5de7b6" style="width: 100.0%; height: 100.0%;">East Toronto (M4L): The Beaches West,India Bazaar</div>')[0];
                popup_c8f04a9b317d42d8b21bc47622d7eda0.setContent(html_3cb779636e6d4239b11114354d5de7b6);
            

            circle_marker_e79ac5aaae07493abce0d93db9390e5e.bindPopup(popup_c8f04a9b317d42d8b21bc47622d7eda0);

            
        
    
            var circle_marker_4315c8c710bb49c68aa6eb503345e8c5 = L.circleMarker(
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                {
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  "dashArray": null,
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_500eca38213940949b18dfe050e702da = L.popup({maxWidth: '300'});

            
                var html_ecb8c65d6e674980b075757b70d838d9 = $('<div id="html_ecb8c65d6e674980b075757b70d838d9" style="width: 100.0%; height: 100.0%;">East Toronto (M4M): Studio District</div>')[0];
                popup_500eca38213940949b18dfe050e702da.setContent(html_ecb8c65d6e674980b075757b70d838d9);
            

            circle_marker_4315c8c710bb49c68aa6eb503345e8c5.bindPopup(popup_500eca38213940949b18dfe050e702da);

            
        
    
            var circle_marker_6def1374ad224497a3ca899a83a7602b = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
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  "dashArray": null,
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_607ecc6ea83848069e306d34f8624a02 = L.popup({maxWidth: '300'});

            
                var html_4603b9fc0768458abd7875a328160aaa = $('<div id="html_4603b9fc0768458abd7875a328160aaa" style="width: 100.0%; height: 100.0%;">Central Toronto (M4N): Lawrence Park</div>')[0];
                popup_607ecc6ea83848069e306d34f8624a02.setContent(html_4603b9fc0768458abd7875a328160aaa);
            

            circle_marker_6def1374ad224497a3ca899a83a7602b.bindPopup(popup_607ecc6ea83848069e306d34f8624a02);

            
        
    
            var circle_marker_d7aba8b375894fef96acb0cb0b18a269 = L.circleMarker(
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                {
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_738707fd2b974402a71d71a6d9be6d98 = L.popup({maxWidth: '300'});

            
                var html_e4a946abf407447586b79dddddd6f8e3 = $('<div id="html_e4a946abf407447586b79dddddd6f8e3" style="width: 100.0%; height: 100.0%;">Central Toronto (M4P): Davisville North</div>')[0];
                popup_738707fd2b974402a71d71a6d9be6d98.setContent(html_e4a946abf407447586b79dddddd6f8e3);
            

            circle_marker_d7aba8b375894fef96acb0cb0b18a269.bindPopup(popup_738707fd2b974402a71d71a6d9be6d98);

            
        
    
            var circle_marker_8a81edc715924ab19e0e665b437ca833 = L.circleMarker(
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  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_6c75eed72f3a426a9693ef253f4e5ce6 = L.popup({maxWidth: '300'});

            
                var html_81a7b82844ef4daea129ac74b14b5cc0 = $('<div id="html_81a7b82844ef4daea129ac74b14b5cc0" style="width: 100.0%; height: 100.0%;">Central Toronto (M4R): North Toronto West</div>')[0];
                popup_6c75eed72f3a426a9693ef253f4e5ce6.setContent(html_81a7b82844ef4daea129ac74b14b5cc0);
            

            circle_marker_8a81edc715924ab19e0e665b437ca833.bindPopup(popup_6c75eed72f3a426a9693ef253f4e5ce6);

            
        
    
            var circle_marker_b0125c94f3924a06aeac8b031cde5294 = L.circleMarker(
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                {
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  "dashArray": null,
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_f19ec5f1bee048a79a324bd801304b0b = L.popup({maxWidth: '300'});

            
                var html_4eeed591516b4d34b4ea8e5dec64bda3 = $('<div id="html_4eeed591516b4d34b4ea8e5dec64bda3" style="width: 100.0%; height: 100.0%;">Central Toronto (M4S): Davisville</div>')[0];
                popup_f19ec5f1bee048a79a324bd801304b0b.setContent(html_4eeed591516b4d34b4ea8e5dec64bda3);
            

            circle_marker_b0125c94f3924a06aeac8b031cde5294.bindPopup(popup_f19ec5f1bee048a79a324bd801304b0b);

            
        
    
            var circle_marker_0b670160c65d45b3a5f09eea10b71adc = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_645fbba4324f450b9b8499fa89f42109 = L.popup({maxWidth: '300'});

            
                var html_bca4896829ce4ad39935935919a9bef7 = $('<div id="html_bca4896829ce4ad39935935919a9bef7" style="width: 100.0%; height: 100.0%;">Central Toronto (M4T): Moore Park,Summerhill East</div>')[0];
                popup_645fbba4324f450b9b8499fa89f42109.setContent(html_bca4896829ce4ad39935935919a9bef7);
            

            circle_marker_0b670160c65d45b3a5f09eea10b71adc.bindPopup(popup_645fbba4324f450b9b8499fa89f42109);

            
        
    
            var circle_marker_871acb3fb0584b7fab2f8eb8f37e7260 = L.circleMarker(
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  "dashArray": null,
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_b1f31188075344d180ffb2f719abed3a = L.popup({maxWidth: '300'});

            
                var html_5747c99d97194fd7bcb410495cdaf7ac = $('<div id="html_5747c99d97194fd7bcb410495cdaf7ac" style="width: 100.0%; height: 100.0%;">Central Toronto (M4V): Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West</div>')[0];
                popup_b1f31188075344d180ffb2f719abed3a.setContent(html_5747c99d97194fd7bcb410495cdaf7ac);
            

            circle_marker_871acb3fb0584b7fab2f8eb8f37e7260.bindPopup(popup_b1f31188075344d180ffb2f719abed3a);

            
        
    
            var circle_marker_f95c41ec0fe043aa892d7b764ac8592b = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ed350d6ff7b64ea69d924bad85d33d59 = L.popup({maxWidth: '300'});

            
                var html_82c5ac5296f840468f5972b8cf84106c = $('<div id="html_82c5ac5296f840468f5972b8cf84106c" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M4W): Rosedale</div>')[0];
                popup_ed350d6ff7b64ea69d924bad85d33d59.setContent(html_82c5ac5296f840468f5972b8cf84106c);
            

            circle_marker_f95c41ec0fe043aa892d7b764ac8592b.bindPopup(popup_ed350d6ff7b64ea69d924bad85d33d59);

            
        
    
            var circle_marker_8706bbbcdd9d4acda0f0a0f90f2f724a = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_17adc5bcff6a43818f94194a207caddc = L.popup({maxWidth: '300'});

            
                var html_7aa8c3f459d84c9cbcfc9fc0e0f5aadd = $('<div id="html_7aa8c3f459d84c9cbcfc9fc0e0f5aadd" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M4X): Cabbagetown,St. James Town</div>')[0];
                popup_17adc5bcff6a43818f94194a207caddc.setContent(html_7aa8c3f459d84c9cbcfc9fc0e0f5aadd);
            

            circle_marker_8706bbbcdd9d4acda0f0a0f90f2f724a.bindPopup(popup_17adc5bcff6a43818f94194a207caddc);

            
        
    
            var circle_marker_0992415ed8f141f2bbea89c0171c3a48 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_7811491f9ef64ab4beb343d97d1990c4 = L.popup({maxWidth: '300'});

            
                var html_a15451d4490e44b4a044dbe0b5c2b4d5 = $('<div id="html_a15451d4490e44b4a044dbe0b5c2b4d5" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M4Y): Church and Wellesley</div>')[0];
                popup_7811491f9ef64ab4beb343d97d1990c4.setContent(html_a15451d4490e44b4a044dbe0b5c2b4d5);
            

            circle_marker_0992415ed8f141f2bbea89c0171c3a48.bindPopup(popup_7811491f9ef64ab4beb343d97d1990c4);

            
        
    
            var circle_marker_4e342baf3c7b4a9f975510466923843c = L.circleMarker(
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                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_76ad48edea894bb781250bd6951dd2c4 = L.popup({maxWidth: '300'});

            
                var html_e016d7fe80dc4adfb37b1962cd7fadca = $('<div id="html_e016d7fe80dc4adfb37b1962cd7fadca" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5A): Harbourfront,Regent Park</div>')[0];
                popup_76ad48edea894bb781250bd6951dd2c4.setContent(html_e016d7fe80dc4adfb37b1962cd7fadca);
            

            circle_marker_4e342baf3c7b4a9f975510466923843c.bindPopup(popup_76ad48edea894bb781250bd6951dd2c4);

            
        
    
            var circle_marker_2b32bb219dd847e5a7354fe57ff9a82a = L.circleMarker(
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  "dashArray": null,
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_539625c8da954153baf47fdf44c5afa3 = L.popup({maxWidth: '300'});

            
                var html_59d82f35c1514441943079639fb8ab47 = $('<div id="html_59d82f35c1514441943079639fb8ab47" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5B): Ryerson,Garden District</div>')[0];
                popup_539625c8da954153baf47fdf44c5afa3.setContent(html_59d82f35c1514441943079639fb8ab47);
            

            circle_marker_2b32bb219dd847e5a7354fe57ff9a82a.bindPopup(popup_539625c8da954153baf47fdf44c5afa3);

            
        
    
            var circle_marker_74a3027219db4e3cab59f16467ca8b3f = L.circleMarker(
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                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_69afdbba33b345da8cb5728b9f2394a3 = L.popup({maxWidth: '300'});

            
                var html_3ee46de9f78845738c0befc70da57790 = $('<div id="html_3ee46de9f78845738c0befc70da57790" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5C): St. James Town</div>')[0];
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            var circle_marker_eb70f675a86a4ed1a15ced84ed361317 = L.circleMarker(
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_68f9adbb899f4637a31f374ca956c092 = L.popup({maxWidth: '300'});

            
                var html_17086ea9ac0f4b408473237861a73853 = $('<div id="html_17086ea9ac0f4b408473237861a73853" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5E): Berczy Park</div>')[0];
                popup_68f9adbb899f4637a31f374ca956c092.setContent(html_17086ea9ac0f4b408473237861a73853);
            

            circle_marker_eb70f675a86a4ed1a15ced84ed361317.bindPopup(popup_68f9adbb899f4637a31f374ca956c092);

            
        
    
            var circle_marker_b44ed24d1bf64cde938018c266bf9b1b = L.circleMarker(
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  "fillColor": "green",
  "fillOpacity": 0.6,
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  "opacity": 1.0,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_da87ea68c8234c65b7bb442ee152ba0a = L.popup({maxWidth: '300'});

            
                var html_a7733dc0af0b43c19a104809ade5b6df = $('<div id="html_a7733dc0af0b43c19a104809ade5b6df" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5G): Central Bay Street</div>')[0];
                popup_da87ea68c8234c65b7bb442ee152ba0a.setContent(html_a7733dc0af0b43c19a104809ade5b6df);
            

            circle_marker_b44ed24d1bf64cde938018c266bf9b1b.bindPopup(popup_da87ea68c8234c65b7bb442ee152ba0a);

            
        
    
            var circle_marker_8baca2201eee4b62ae21a8bbc9c9e118 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_7311c468db6749db9636f217e5dbc531 = L.popup({maxWidth: '300'});

            
                var html_d92afe3750664101be2d9a795b2ebe55 = $('<div id="html_d92afe3750664101be2d9a795b2ebe55" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5H): Adelaide,King,Richmond</div>')[0];
                popup_7311c468db6749db9636f217e5dbc531.setContent(html_d92afe3750664101be2d9a795b2ebe55);
            

            circle_marker_8baca2201eee4b62ae21a8bbc9c9e118.bindPopup(popup_7311c468db6749db9636f217e5dbc531);

            
        
    
            var circle_marker_8a3f68c3dcb14a9d8a1267621c2be1b6 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c656862f45da4b389d0127f0c4f42735 = L.popup({maxWidth: '300'});

            
                var html_a987c5f064ed4ed0935aa08e656a8b98 = $('<div id="html_a987c5f064ed4ed0935aa08e656a8b98" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5J): Harbourfront East,Toronto Islands,Union Station</div>')[0];
                popup_c656862f45da4b389d0127f0c4f42735.setContent(html_a987c5f064ed4ed0935aa08e656a8b98);
            

            circle_marker_8a3f68c3dcb14a9d8a1267621c2be1b6.bindPopup(popup_c656862f45da4b389d0127f0c4f42735);

            
        
    
            var circle_marker_5c479edd5bec4c259e498501bc16099d = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_09d5592879a34335ade3be8de25ed89e = L.popup({maxWidth: '300'});

            
                var html_b1a886cce67d4389a5a4f1ddd0850ebc = $('<div id="html_b1a886cce67d4389a5a4f1ddd0850ebc" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5K): Design Exchange,Toronto Dominion Centre</div>')[0];
                popup_09d5592879a34335ade3be8de25ed89e.setContent(html_b1a886cce67d4389a5a4f1ddd0850ebc);
            

            circle_marker_5c479edd5bec4c259e498501bc16099d.bindPopup(popup_09d5592879a34335ade3be8de25ed89e);

            
        
    
            var circle_marker_6a91464cf64a4bf283fcff40105c8347 = L.circleMarker(
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  "dashArray": null,
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  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ed648584af5c4d1f82529fa30bb0e8d3 = L.popup({maxWidth: '300'});

            
                var html_aefb67d9fa514edc923fe3777e29977a = $('<div id="html_aefb67d9fa514edc923fe3777e29977a" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5L): Commerce Court,Victoria Hotel</div>')[0];
                popup_ed648584af5c4d1f82529fa30bb0e8d3.setContent(html_aefb67d9fa514edc923fe3777e29977a);
            

            circle_marker_6a91464cf64a4bf283fcff40105c8347.bindPopup(popup_ed648584af5c4d1f82529fa30bb0e8d3);

            
        
    
            var circle_marker_c453095d5bd8428eb2a86b7be644a6de = L.circleMarker(
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                {
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  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
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}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ad085fc231ab45d5bfcd3d51720a0109 = L.popup({maxWidth: '300'});

            
                var html_9151d10bd0de4630bb4558527ac284f5 = $('<div id="html_9151d10bd0de4630bb4558527ac284f5" style="width: 100.0%; height: 100.0%;">North York (M5M): Bedford Park,Lawrence Manor East</div>')[0];
                popup_ad085fc231ab45d5bfcd3d51720a0109.setContent(html_9151d10bd0de4630bb4558527ac284f5);
            

            circle_marker_c453095d5bd8428eb2a86b7be644a6de.bindPopup(popup_ad085fc231ab45d5bfcd3d51720a0109);

            
        
    
            var circle_marker_8ec3ab23dff64f1c8dd25ad5cfad9995 = L.circleMarker(
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_84759018f8fd4991a08a9f4bd55ad480 = L.popup({maxWidth: '300'});

            
                var html_7e5ae7b539194c4fb2b8d506a1d4b400 = $('<div id="html_7e5ae7b539194c4fb2b8d506a1d4b400" style="width: 100.0%; height: 100.0%;">Central Toronto (M5N): Roselawn</div>')[0];
                popup_84759018f8fd4991a08a9f4bd55ad480.setContent(html_7e5ae7b539194c4fb2b8d506a1d4b400);
            

            circle_marker_8ec3ab23dff64f1c8dd25ad5cfad9995.bindPopup(popup_84759018f8fd4991a08a9f4bd55ad480);

            
        
    
            var circle_marker_c2f8092de1c8446b92c4a88aff043656 = L.circleMarker(
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_25cc846fcc644586b1bfce8bf77156f2 = L.popup({maxWidth: '300'});

            
                var html_0a1e375526494b29aebfe1702fc59ddc = $('<div id="html_0a1e375526494b29aebfe1702fc59ddc" style="width: 100.0%; height: 100.0%;">Central Toronto (M5P): Forest Hill North,Forest Hill West</div>')[0];
                popup_25cc846fcc644586b1bfce8bf77156f2.setContent(html_0a1e375526494b29aebfe1702fc59ddc);
            

            circle_marker_c2f8092de1c8446b92c4a88aff043656.bindPopup(popup_25cc846fcc644586b1bfce8bf77156f2);

            
        
    
            var circle_marker_3189a02fd209438689a0567f50ce5a65 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_4a835fa2d70c4b87810426aea962b505 = L.popup({maxWidth: '300'});

            
                var html_b66489bcbe3f407ab6223d5fd23c622f = $('<div id="html_b66489bcbe3f407ab6223d5fd23c622f" style="width: 100.0%; height: 100.0%;">Central Toronto (M5R): The Annex,North Midtown,Yorkville</div>')[0];
                popup_4a835fa2d70c4b87810426aea962b505.setContent(html_b66489bcbe3f407ab6223d5fd23c622f);
            

            circle_marker_3189a02fd209438689a0567f50ce5a65.bindPopup(popup_4a835fa2d70c4b87810426aea962b505);

            
        
    
            var circle_marker_5602b4622fe446688bca903acd6298ef = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_fe680e135f3e458f9c16b272a47ba9ac = L.popup({maxWidth: '300'});

            
                var html_ac34d2ec9ed446d4a7bb238224e071de = $('<div id="html_ac34d2ec9ed446d4a7bb238224e071de" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5S): Harbord,University of Toronto</div>')[0];
                popup_fe680e135f3e458f9c16b272a47ba9ac.setContent(html_ac34d2ec9ed446d4a7bb238224e071de);
            

            circle_marker_5602b4622fe446688bca903acd6298ef.bindPopup(popup_fe680e135f3e458f9c16b272a47ba9ac);

            
        
    
            var circle_marker_66e41207f64948a0b9a935d87f36b09e = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_a6fad1a492444dc797d0189eef1d6a3c = L.popup({maxWidth: '300'});

            
                var html_65f2fa5853a046609ae18308d7ea5a5d = $('<div id="html_65f2fa5853a046609ae18308d7ea5a5d" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5T): Chinatown,Grange Park,Kensington Market</div>')[0];
                popup_a6fad1a492444dc797d0189eef1d6a3c.setContent(html_65f2fa5853a046609ae18308d7ea5a5d);
            

            circle_marker_66e41207f64948a0b9a935d87f36b09e.bindPopup(popup_a6fad1a492444dc797d0189eef1d6a3c);

            
        
    
            var circle_marker_955cd0ea4f224576a7b665dea3d83230 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_7aaef3a6dcbc419bac1a612a4a40c7e1 = L.popup({maxWidth: '300'});

            
                var html_54d178547961469c8fc8ea79d4635d71 = $('<div id="html_54d178547961469c8fc8ea79d4635d71" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5V): CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara</div>')[0];
                popup_7aaef3a6dcbc419bac1a612a4a40c7e1.setContent(html_54d178547961469c8fc8ea79d4635d71);
            

            circle_marker_955cd0ea4f224576a7b665dea3d83230.bindPopup(popup_7aaef3a6dcbc419bac1a612a4a40c7e1);

            
        
    
            var circle_marker_f51e7e4fe3d54e559e9280e202dd01ea = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ddfab51299a442ab9bf2f1ec43c2f230 = L.popup({maxWidth: '300'});

            
                var html_1430242136af4b55a4d8848d07bb65ce = $('<div id="html_1430242136af4b55a4d8848d07bb65ce" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5W): Stn A PO Boxes 25 The Esplanade</div>')[0];
                popup_ddfab51299a442ab9bf2f1ec43c2f230.setContent(html_1430242136af4b55a4d8848d07bb65ce);
            

            circle_marker_f51e7e4fe3d54e559e9280e202dd01ea.bindPopup(popup_ddfab51299a442ab9bf2f1ec43c2f230);

            
        
    
            var circle_marker_4eb722700c2d4003bd7276aa52082d69 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_24f77a0629d243cfb24b9b00f89e4eca = L.popup({maxWidth: '300'});

            
                var html_a60f8030c76c4d81a2cf04d84a6d09c4 = $('<div id="html_a60f8030c76c4d81a2cf04d84a6d09c4" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M5X): First Canadian Place,Underground city</div>')[0];
                popup_24f77a0629d243cfb24b9b00f89e4eca.setContent(html_a60f8030c76c4d81a2cf04d84a6d09c4);
            

            circle_marker_4eb722700c2d4003bd7276aa52082d69.bindPopup(popup_24f77a0629d243cfb24b9b00f89e4eca);

            
        
    
            var circle_marker_15e56915f53042cea90575e0c4a8a769 = L.circleMarker(
                [43.718517999999996,-79.46476329999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_9708e33586d64af099d43e5f4f7a00a6 = L.popup({maxWidth: '300'});

            
                var html_ca68ca028c5b4e61aeff5a8deb87bdfc = $('<div id="html_ca68ca028c5b4e61aeff5a8deb87bdfc" style="width: 100.0%; height: 100.0%;">North York (M6A): Lawrence Heights,Lawrence Manor</div>')[0];
                popup_9708e33586d64af099d43e5f4f7a00a6.setContent(html_ca68ca028c5b4e61aeff5a8deb87bdfc);
            

            circle_marker_15e56915f53042cea90575e0c4a8a769.bindPopup(popup_9708e33586d64af099d43e5f4f7a00a6);

            
        
    
            var circle_marker_e361e5fd8ab947d28ea4848cc7e4e219 = L.circleMarker(
                [43.709577,-79.44507259999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_e5dcd612d8124089ae2a25e05fb5fa67 = L.popup({maxWidth: '300'});

            
                var html_9caf5202656f471f99281933dbb23b1f = $('<div id="html_9caf5202656f471f99281933dbb23b1f" style="width: 100.0%; height: 100.0%;">North York (M6B): Glencairn</div>')[0];
                popup_e5dcd612d8124089ae2a25e05fb5fa67.setContent(html_9caf5202656f471f99281933dbb23b1f);
            

            circle_marker_e361e5fd8ab947d28ea4848cc7e4e219.bindPopup(popup_e5dcd612d8124089ae2a25e05fb5fa67);

            
        
    
            var circle_marker_54dc9bd5699a4fe296636f4344e307eb = L.circleMarker(
                [43.6937813,-79.42819140000002],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_b68654e8d3aa4b0faf7fefe929c2365c = L.popup({maxWidth: '300'});

            
                var html_fad46b29e8534d3ab7e117ca91ff219a = $('<div id="html_fad46b29e8534d3ab7e117ca91ff219a" style="width: 100.0%; height: 100.0%;">York (M6C): Humewood-Cedarvale</div>')[0];
                popup_b68654e8d3aa4b0faf7fefe929c2365c.setContent(html_fad46b29e8534d3ab7e117ca91ff219a);
            

            circle_marker_54dc9bd5699a4fe296636f4344e307eb.bindPopup(popup_b68654e8d3aa4b0faf7fefe929c2365c);

            
        
    
            var circle_marker_ac0f14db2b0b4d96ab6d78274c478019 = L.circleMarker(
                [43.6890256,-79.453512],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_bb90845cdee44acfa5843f3c7ed3d2a5 = L.popup({maxWidth: '300'});

            
                var html_b411f7c7c7874ea78622b2a443a2c54f = $('<div id="html_b411f7c7c7874ea78622b2a443a2c54f" style="width: 100.0%; height: 100.0%;">York (M6E): Caledonia-Fairbanks</div>')[0];
                popup_bb90845cdee44acfa5843f3c7ed3d2a5.setContent(html_b411f7c7c7874ea78622b2a443a2c54f);
            

            circle_marker_ac0f14db2b0b4d96ab6d78274c478019.bindPopup(popup_bb90845cdee44acfa5843f3c7ed3d2a5);

            
        
    
            var circle_marker_750b9fe8dc9c47a8bfd7494c4e7d4314 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_15ce6fb1e1bb4b3694f42e32549977e6 = L.popup({maxWidth: '300'});

            
                var html_24ff0966745640e692f32545e0ddde8d = $('<div id="html_24ff0966745640e692f32545e0ddde8d" style="width: 100.0%; height: 100.0%;">Downtown Toronto (M6G): Christie</div>')[0];
                popup_15ce6fb1e1bb4b3694f42e32549977e6.setContent(html_24ff0966745640e692f32545e0ddde8d);
            

            circle_marker_750b9fe8dc9c47a8bfd7494c4e7d4314.bindPopup(popup_15ce6fb1e1bb4b3694f42e32549977e6);

            
        
    
            var circle_marker_313b9d9869074497b4b65b2fc53ac523 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_5709339565f54585bf860a70fda6a74e = L.popup({maxWidth: '300'});

            
                var html_42f885df465c4c6e9fb6c2679187aaec = $('<div id="html_42f885df465c4c6e9fb6c2679187aaec" style="width: 100.0%; height: 100.0%;">West Toronto (M6H): Dovercourt Village,Dufferin</div>')[0];
                popup_5709339565f54585bf860a70fda6a74e.setContent(html_42f885df465c4c6e9fb6c2679187aaec);
            

            circle_marker_313b9d9869074497b4b65b2fc53ac523.bindPopup(popup_5709339565f54585bf860a70fda6a74e);

            
        
    
            var circle_marker_1e4a0253470a4a5a95b1395bda165846 = L.circleMarker(
                [43.647926700000006,-79.4197497],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_5bd11ee0c67f486aaf6f1ffbb2be9239 = L.popup({maxWidth: '300'});

            
                var html_c5a8fe51b22c414588bd3050cf847431 = $('<div id="html_c5a8fe51b22c414588bd3050cf847431" style="width: 100.0%; height: 100.0%;">West Toronto (M6J): Little Portugal,Trinity</div>')[0];
                popup_5bd11ee0c67f486aaf6f1ffbb2be9239.setContent(html_c5a8fe51b22c414588bd3050cf847431);
            

            circle_marker_1e4a0253470a4a5a95b1395bda165846.bindPopup(popup_5bd11ee0c67f486aaf6f1ffbb2be9239);

            
        
    
            var circle_marker_6d3b89c276514c12ab66e93bb71b1547 = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ce1674cdfd2d43b2913fb77709667a8c = L.popup({maxWidth: '300'});

            
                var html_464793dde8ec4732b21aeb1ec2423ac3 = $('<div id="html_464793dde8ec4732b21aeb1ec2423ac3" style="width: 100.0%; height: 100.0%;">West Toronto (M6K): Brockton,Exhibition Place,Parkdale Village</div>')[0];
                popup_ce1674cdfd2d43b2913fb77709667a8c.setContent(html_464793dde8ec4732b21aeb1ec2423ac3);
            

            circle_marker_6d3b89c276514c12ab66e93bb71b1547.bindPopup(popup_ce1674cdfd2d43b2913fb77709667a8c);

            
        
    
            var circle_marker_0fe4e90ab2064b79a89895168d938d1c = L.circleMarker(
                [43.713756200000006,-79.4900738],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c421559caed64b119e8eff2b6b22d895 = L.popup({maxWidth: '300'});

            
                var html_79b8e40756a14bdcb99aeba5f2f5041b = $('<div id="html_79b8e40756a14bdcb99aeba5f2f5041b" style="width: 100.0%; height: 100.0%;">North York (M6L): Downsview,North Park,Upwood Park</div>')[0];
                popup_c421559caed64b119e8eff2b6b22d895.setContent(html_79b8e40756a14bdcb99aeba5f2f5041b);
            

            circle_marker_0fe4e90ab2064b79a89895168d938d1c.bindPopup(popup_c421559caed64b119e8eff2b6b22d895);

            
        
    
            var circle_marker_c0e3d9fbdc0748e0a20f5116a6450fc7 = L.circleMarker(
                [43.6911158,-79.47601329999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_6a6dbaab62794775beeb54ca399a90a5 = L.popup({maxWidth: '300'});

            
                var html_118a8a1fe30942eabea9caf13d62f192 = $('<div id="html_118a8a1fe30942eabea9caf13d62f192" style="width: 100.0%; height: 100.0%;">York (M6M): Del Ray,Keelesdale,Mount Dennis,Silverthorn</div>')[0];
                popup_6a6dbaab62794775beeb54ca399a90a5.setContent(html_118a8a1fe30942eabea9caf13d62f192);
            

            circle_marker_c0e3d9fbdc0748e0a20f5116a6450fc7.bindPopup(popup_6a6dbaab62794775beeb54ca399a90a5);

            
        
    
            var circle_marker_f50f33232ff14b439ac8a141f3315e4c = L.circleMarker(
                [43.67318529999999,-79.48726190000001],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_87ec3adec9d94387a4e5609e754592e6 = L.popup({maxWidth: '300'});

            
                var html_c9bc07f7ac2d44b081deabe5b3d218aa = $('<div id="html_c9bc07f7ac2d44b081deabe5b3d218aa" style="width: 100.0%; height: 100.0%;">York (M6N): The Junction North,Runnymede</div>')[0];
                popup_87ec3adec9d94387a4e5609e754592e6.setContent(html_c9bc07f7ac2d44b081deabe5b3d218aa);
            

            circle_marker_f50f33232ff14b439ac8a141f3315e4c.bindPopup(popup_87ec3adec9d94387a4e5609e754592e6);

            
        
    
            var circle_marker_ae7b4622003c47b098ccaa3a2586b83c = L.circleMarker(
                [43.6616083,-79.46476329999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_12a1f49c01c54b7ebf2391bf020806fe = L.popup({maxWidth: '300'});

            
                var html_11756fd3f0d84f2e9a11de98ac236cd2 = $('<div id="html_11756fd3f0d84f2e9a11de98ac236cd2" style="width: 100.0%; height: 100.0%;">West Toronto (M6P): High Park,The Junction South</div>')[0];
                popup_12a1f49c01c54b7ebf2391bf020806fe.setContent(html_11756fd3f0d84f2e9a11de98ac236cd2);
            

            circle_marker_ae7b4622003c47b098ccaa3a2586b83c.bindPopup(popup_12a1f49c01c54b7ebf2391bf020806fe);

            
        
    
            var circle_marker_ae1390ff46e448808a37d3a0ed5304aa = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_eb822cb240dc404aa2af272a9ef8391d = L.popup({maxWidth: '300'});

            
                var html_5f998ee3bbeb409aa1e7cbbbf479e504 = $('<div id="html_5f998ee3bbeb409aa1e7cbbbf479e504" style="width: 100.0%; height: 100.0%;">West Toronto (M6R): Parkdale,Roncesvalles</div>')[0];
                popup_eb822cb240dc404aa2af272a9ef8391d.setContent(html_5f998ee3bbeb409aa1e7cbbbf479e504);
            

            circle_marker_ae1390ff46e448808a37d3a0ed5304aa.bindPopup(popup_eb822cb240dc404aa2af272a9ef8391d);

            
        
    
            var circle_marker_22a983fe8c2a437d80991184b95604bc = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ea0e2eb2b85b4665a8a8e9d77e2b25ee = L.popup({maxWidth: '300'});

            
                var html_7fad5a409dde4485a5cecc4cc2384c03 = $('<div id="html_7fad5a409dde4485a5cecc4cc2384c03" style="width: 100.0%; height: 100.0%;">West Toronto (M6S): Runnymede,Swansea</div>')[0];
                popup_ea0e2eb2b85b4665a8a8e9d77e2b25ee.setContent(html_7fad5a409dde4485a5cecc4cc2384c03);
            

            circle_marker_22a983fe8c2a437d80991184b95604bc.bindPopup(popup_ea0e2eb2b85b4665a8a8e9d77e2b25ee);

            
        
    
            var circle_marker_6adb7547c3124a3e8012d8aef10eb1d4 = L.circleMarker(
                [43.6623015,-79.3894938],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c1e7ed95987c4aa6b313188d19c45943 = L.popup({maxWidth: '300'});

            
                var html_c1c765868e2b44b2a28adb3594ebb579 = $('<div id="html_c1c765868e2b44b2a28adb3594ebb579" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park (M7A): Queen&#39;s Park</div>')[0];
                popup_c1e7ed95987c4aa6b313188d19c45943.setContent(html_c1c765868e2b44b2a28adb3594ebb579);
            

            circle_marker_6adb7547c3124a3e8012d8aef10eb1d4.bindPopup(popup_c1e7ed95987c4aa6b313188d19c45943);

            
        
    
            var circle_marker_b0c20261fb93466a8498693a6b5958e6 = L.circleMarker(
                [43.6369656,-79.61581899999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_fdec7091a8c447498cd49217b32baf7c = L.popup({maxWidth: '300'});

            
                var html_7507eb9e077448fc9a147c0209151146 = $('<div id="html_7507eb9e077448fc9a147c0209151146" style="width: 100.0%; height: 100.0%;">Mississauga (M7R): Canada Post Gateway Processing Centre</div>')[0];
                popup_fdec7091a8c447498cd49217b32baf7c.setContent(html_7507eb9e077448fc9a147c0209151146);
            

            circle_marker_b0c20261fb93466a8498693a6b5958e6.bindPopup(popup_fdec7091a8c447498cd49217b32baf7c);

            
        
    
            var circle_marker_5742037b021b4fd0afaf228c61057533 = L.circleMarker(
                [43.6627439,-79.321558],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_e706c521ac8b4120af40bd67a38f8548 = L.popup({maxWidth: '300'});

            
                var html_bce05e3c80ec47abbd94faae276239e6 = $('<div id="html_bce05e3c80ec47abbd94faae276239e6" style="width: 100.0%; height: 100.0%;">East Toronto (M7Y): Business Reply Mail Processing Centre 969 Eastern</div>')[0];
                popup_e706c521ac8b4120af40bd67a38f8548.setContent(html_bce05e3c80ec47abbd94faae276239e6);
            

            circle_marker_5742037b021b4fd0afaf228c61057533.bindPopup(popup_e706c521ac8b4120af40bd67a38f8548);

            
        
    
            var circle_marker_cae53f692c42465d848f961b8350a532 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_c9bea5d822534e03b8146095af3a10fc = L.popup({maxWidth: '300'});

            
                var html_0b20430eb54f4954a262218923ed6d49 = $('<div id="html_0b20430eb54f4954a262218923ed6d49" style="width: 100.0%; height: 100.0%;">Etobicoke (M8V): Humber Bay Shores,Mimico South,New Toronto</div>')[0];
                popup_c9bea5d822534e03b8146095af3a10fc.setContent(html_0b20430eb54f4954a262218923ed6d49);
            

            circle_marker_cae53f692c42465d848f961b8350a532.bindPopup(popup_c9bea5d822534e03b8146095af3a10fc);

            
        
    
            var circle_marker_23617999496842b79fbba7d1e4434e2b = L.circleMarker(
                [43.60241370000001,-79.54348409999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_69efdc8616974be48375facd48606c9f = L.popup({maxWidth: '300'});

            
                var html_d63e47bcfd164aaaae5f99873d679619 = $('<div id="html_d63e47bcfd164aaaae5f99873d679619" style="width: 100.0%; height: 100.0%;">Etobicoke (M8W): Alderwood,Long Branch</div>')[0];
                popup_69efdc8616974be48375facd48606c9f.setContent(html_d63e47bcfd164aaaae5f99873d679619);
            

            circle_marker_23617999496842b79fbba7d1e4434e2b.bindPopup(popup_69efdc8616974be48375facd48606c9f);

            
        
    
            var circle_marker_33aebffc7b874634bdf9826dd3ec9a02 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_05e6414bd974450fb428b14890ee57b5 = L.popup({maxWidth: '300'});

            
                var html_95534f4eefff40999615f08f40b2a865 = $('<div id="html_95534f4eefff40999615f08f40b2a865" style="width: 100.0%; height: 100.0%;">Etobicoke (M8X): The Kingsway,Montgomery Road,Old Mill North</div>')[0];
                popup_05e6414bd974450fb428b14890ee57b5.setContent(html_95534f4eefff40999615f08f40b2a865);
            

            circle_marker_33aebffc7b874634bdf9826dd3ec9a02.bindPopup(popup_05e6414bd974450fb428b14890ee57b5);

            
        
    
            var circle_marker_8aa9d55932b0482291e5455330e2e6df = L.circleMarker(
                [43.6362579,-79.49850909999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_4c7a57d1b09d47a384726b6d2afb1173 = L.popup({maxWidth: '300'});

            
                var html_ad864b9a79d747b89f3552ed93889e66 = $('<div id="html_ad864b9a79d747b89f3552ed93889e66" style="width: 100.0%; height: 100.0%;">Etobicoke (M8Y): Humber Bay,King&#39;s Mill Park,Kingsway Park South East,Mimico NE,Old Mill South,The Queensway East,Royal York South East,Sunnylea</div>')[0];
                popup_4c7a57d1b09d47a384726b6d2afb1173.setContent(html_ad864b9a79d747b89f3552ed93889e66);
            

            circle_marker_8aa9d55932b0482291e5455330e2e6df.bindPopup(popup_4c7a57d1b09d47a384726b6d2afb1173);

            
        
    
            var circle_marker_84c3931fab3240fcb6db30c2fc2157a4 = L.circleMarker(
                [43.6288408,-79.52099940000001],
                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_2056a6bc9f7e42bc8f2c29bb8af6551f = L.popup({maxWidth: '300'});

            
                var html_52a99eece07e43c4beea339e1f1c8eeb = $('<div id="html_52a99eece07e43c4beea339e1f1c8eeb" style="width: 100.0%; height: 100.0%;">Etobicoke (M8Z): Kingsway Park South West,Mimico NW,The Queensway West,Royal York South West,South of Bloor</div>')[0];
                popup_2056a6bc9f7e42bc8f2c29bb8af6551f.setContent(html_52a99eece07e43c4beea339e1f1c8eeb);
            

            circle_marker_84c3931fab3240fcb6db30c2fc2157a4.bindPopup(popup_2056a6bc9f7e42bc8f2c29bb8af6551f);

            
        
    
            var circle_marker_f6faa11d68814d88bbd31e5fe83b1bd8 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_fe7518aecd7d46e39fe675927f527c88 = L.popup({maxWidth: '300'});

            
                var html_293eb0397c3741c1a6325fa86b2d64e0 = $('<div id="html_293eb0397c3741c1a6325fa86b2d64e0" style="width: 100.0%; height: 100.0%;">Etobicoke (M9A): Islington Avenue</div>')[0];
                popup_fe7518aecd7d46e39fe675927f527c88.setContent(html_293eb0397c3741c1a6325fa86b2d64e0);
            

            circle_marker_f6faa11d68814d88bbd31e5fe83b1bd8.bindPopup(popup_fe7518aecd7d46e39fe675927f527c88);

            
        
    
            var circle_marker_d946db2fda9949df8bd2a5a1ca571264 = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_ce2af1023d9d4a04bf5291be2439651c = L.popup({maxWidth: '300'});

            
                var html_1ea1da5810314ba389740b71c34122db = $('<div id="html_1ea1da5810314ba389740b71c34122db" style="width: 100.0%; height: 100.0%;">Etobicoke (M9B): Cloverdale,Islington,Martin Grove,Princess Gardens,West Deane Park</div>')[0];
                popup_ce2af1023d9d4a04bf5291be2439651c.setContent(html_1ea1da5810314ba389740b71c34122db);
            

            circle_marker_d946db2fda9949df8bd2a5a1ca571264.bindPopup(popup_ce2af1023d9d4a04bf5291be2439651c);

            
        
    
            var circle_marker_3a1ffda2d913436f8fc32a251c96401c = L.circleMarker(
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                {
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  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_f780f552aa3c4d779d20b881980c62b0 = L.popup({maxWidth: '300'});

            
                var html_0019dd605e234c1399244e7a5fd5b1db = $('<div id="html_0019dd605e234c1399244e7a5fd5b1db" style="width: 100.0%; height: 100.0%;">Etobicoke (M9C): Bloordale Gardens,Eringate,Markland Wood,Old Burnhamthorpe</div>')[0];
                popup_f780f552aa3c4d779d20b881980c62b0.setContent(html_0019dd605e234c1399244e7a5fd5b1db);
            

            circle_marker_3a1ffda2d913436f8fc32a251c96401c.bindPopup(popup_f780f552aa3c4d779d20b881980c62b0);

            
        
    
            var circle_marker_6ea2553c5b2a455bbfb7e9ccfbe27a2e = L.circleMarker(
                [43.7563033,-79.56596329999999],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_b8e84c84f466452483b24d6c4495a620 = L.popup({maxWidth: '300'});

            
                var html_e247b5f85463496892f6e038417bf991 = $('<div id="html_e247b5f85463496892f6e038417bf991" style="width: 100.0%; height: 100.0%;">North York (M9L): Humber Summit</div>')[0];
                popup_b8e84c84f466452483b24d6c4495a620.setContent(html_e247b5f85463496892f6e038417bf991);
            

            circle_marker_6ea2553c5b2a455bbfb7e9ccfbe27a2e.bindPopup(popup_b8e84c84f466452483b24d6c4495a620);

            
        
    
            var circle_marker_21e92d0fd30141799636bc012972b67a = L.circleMarker(
                [43.7247659,-79.53224240000002],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_a0f3977ec0d04a1ca52b74006d804737 = L.popup({maxWidth: '300'});

            
                var html_30a43bfee966448ba0ab43b88be63adf = $('<div id="html_30a43bfee966448ba0ab43b88be63adf" style="width: 100.0%; height: 100.0%;">North York (M9M): Emery,Humberlea</div>')[0];
                popup_a0f3977ec0d04a1ca52b74006d804737.setContent(html_30a43bfee966448ba0ab43b88be63adf);
            

            circle_marker_21e92d0fd30141799636bc012972b67a.bindPopup(popup_a0f3977ec0d04a1ca52b74006d804737);

            
        
    
            var circle_marker_95570a53b6274137820f8e7a1140e3e8 = L.circleMarker(
                [43.706876,-79.51818840000001],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_030c850e76864242b3d532fe4f4495e7 = L.popup({maxWidth: '300'});

            
                var html_5771187f8a17461e8aa36657a5248edb = $('<div id="html_5771187f8a17461e8aa36657a5248edb" style="width: 100.0%; height: 100.0%;">York (M9N): Weston</div>')[0];
                popup_030c850e76864242b3d532fe4f4495e7.setContent(html_5771187f8a17461e8aa36657a5248edb);
            

            circle_marker_95570a53b6274137820f8e7a1140e3e8.bindPopup(popup_030c850e76864242b3d532fe4f4495e7);

            
        
    
            var circle_marker_39d9a7c7466648c3a509b7903d07f125 = L.circleMarker(
                [43.696319,-79.53224240000002],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_e2bcc41f70264bc08c228f3c85281bad = L.popup({maxWidth: '300'});

            
                var html_9abd9f84a75840e4818ad2a99be39a9d = $('<div id="html_9abd9f84a75840e4818ad2a99be39a9d" style="width: 100.0%; height: 100.0%;">Etobicoke (M9P): Westmount</div>')[0];
                popup_e2bcc41f70264bc08c228f3c85281bad.setContent(html_9abd9f84a75840e4818ad2a99be39a9d);
            

            circle_marker_39d9a7c7466648c3a509b7903d07f125.bindPopup(popup_e2bcc41f70264bc08c228f3c85281bad);

            
        
    
            var circle_marker_d94a888276d248da83c4292189e5d4a5 = L.circleMarker(
                [43.6889054,-79.55472440000001],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_3d91013ff087478d9714ea7ac3ae0dc9 = L.popup({maxWidth: '300'});

            
                var html_df2ac23908864e87bc33738a27b5b238 = $('<div id="html_df2ac23908864e87bc33738a27b5b238" style="width: 100.0%; height: 100.0%;">Etobicoke (M9R): Kingsview Village,Martin Grove Gardens,Richview Gardens,St. Phillips</div>')[0];
                popup_3d91013ff087478d9714ea7ac3ae0dc9.setContent(html_df2ac23908864e87bc33738a27b5b238);
            

            circle_marker_d94a888276d248da83c4292189e5d4a5.bindPopup(popup_3d91013ff087478d9714ea7ac3ae0dc9);

            
        
    
            var circle_marker_35c23d7fab664c3c88f2b983a66bbd10 = L.circleMarker(
                [43.739416399999996,-79.5884369],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_aeb320cfbd054a40879ac3ac8333edbe = L.popup({maxWidth: '300'});

            
                var html_057e540baf91436aa1be64d30afad887 = $('<div id="html_057e540baf91436aa1be64d30afad887" style="width: 100.0%; height: 100.0%;">Etobicoke (M9V): Albion Gardens,Beaumond Heights,Humbergate,Jamestown,Mount Olive,Silverstone,South Steeles,Thistletown</div>')[0];
                popup_aeb320cfbd054a40879ac3ac8333edbe.setContent(html_057e540baf91436aa1be64d30afad887);
            

            circle_marker_35c23d7fab664c3c88f2b983a66bbd10.bindPopup(popup_aeb320cfbd054a40879ac3ac8333edbe);

            
        
    
            var circle_marker_11bae21e5d1b402197c9e47b14094b88 = L.circleMarker(
                [43.706748299999994,-79.5940544],
                {
  "bubblingMouseEvents": true,
  "color": "green",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "green",
  "fillOpacity": 0.6,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 4,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_014067d46b9547989024bb9374a1e1ee);
            
    
            var popup_64a95fa320f744c49ed8b18c0b3bd0ad = L.popup({maxWidth: '300'});

            
                var html_c55a912a72374cb1b7371cb602db761a = $('<div id="html_c55a912a72374cb1b7371cb602db761a" style="width: 100.0%; height: 100.0%;">Etobicoke (M9W): Northwest</div>')[0];
                popup_64a95fa320f744c49ed8b18c0b3bd0ad.setContent(html_c55a912a72374cb1b7371cb602db761a);
            

            circle_marker_11bae21e5d1b402197c9e47b14094b88.bindPopup(popup_64a95fa320f744c49ed8b18c0b3bd0ad);

            
        
</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 0x7fbc2b612048>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Plot the Map of Toronto with Boroughs markers\nTorontoMap = folium.Map(location=[latitude, longitude], zoom_start=10)\n\nfor lat, long, post, borough, neighborhood in zip(TorontoCoordinates_df['Latitude'], TorontoCoordinates_df['Longitude'], TorontoCoordinates_df['Postal Code'], TorontoCoordinates_df['Borough'], TorontoCoordinates_df['Neighborhood']):\n    label = \"{} ({}): {}\".format(borough, post, neighborhood)\n    show = folium.Popup(label, parse_html=True)\n    folium.CircleMarker(\n        [lat, long],\n        radius=4,\n        popup=show,\n        color='green',\n        fill=True,\n        fill_opacity=0.6,\n        parse_html=False).add_to(TorontoMap)\nTorontoMap"
        }, 
        {
            "source": "### Explore boroughs with Toronto in their name", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 29, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 29, 
                    "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4K</td>\n      <td>East Toronto</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>43.679557</td>\n      <td>-79.352188</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M4L</td>\n      <td>East Toronto</td>\n      <td>The Beaches West,India Bazaar</td>\n      <td>43.668999</td>\n      <td>-79.315572</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4M</td>\n      <td>East Toronto</td>\n      <td>Studio District</td>\n      <td>43.659526</td>\n      <td>-79.340923</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M4N</td>\n      <td>Central Toronto</td>\n      <td>Lawrence Park</td>\n      <td>43.728020</td>\n      <td>-79.388790</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postal Code          Borough                   Neighborhood   Latitude  \\\n0         M4E     East Toronto                    The Beaches  43.676357   \n1         M4K     East Toronto    The Danforth West,Riverdale  43.679557   \n2         M4L     East Toronto  The Beaches West,India Bazaar  43.668999   \n3         M4M     East Toronto                Studio District  43.659526   \n4         M4N  Central Toronto                  Lawrence Park  43.728020   \n\n   Longitude  \n0 -79.293031  \n1 -79.352188  \n2 -79.315572  \n3 -79.340923  \n4 -79.388790  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Explore boroughs that have Toronto in their names.\nTorontoArea = ['East Toronto', 'Central Toronto', 'Downtown Toronto', 'West Toronto']\nToronto_df = TorontoCoordinates_df[TorontoCoordinates_df['Borough'].isin(TorontoArea)].reset_index(drop=True)\nToronto_df.head()"
        }, 
        {
            "source": "### Define Foursquare Credentials and Version, Explore the boroughs", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 30, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "#Use FourSquare API to explore the boroughs\nCLIENT_ID = 'YTWBBZM5CULLSWJRSPQWD4E2IFSERT1RS2HZQXWAAY5OBOJZ' #Foursquare ID\nCLIENT_SECRET = 'QYFF1XIY1RRP0QFW40QC0PNCYOGRTTINLRJMA0Y5WVZHZ0W0' #Foursquare Secret\nVERSION = '20180604'\nradius = 500\nLIMIT = 100\n\nvenues = []\n\nfor lat, long, post, borough, neighborhood in zip(Toronto_df['Latitude'], Toronto_df['Longitude'], Toronto_df['Postal Code'], Toronto_df['Borough'], Toronto_df['Neighborhood']):\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        long,\n        radius, \n        LIMIT)\n    \n    results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n    \n    for venue in results:\n        venues.append((\n            post, \n            borough,\n            neighborhood,\n            lat, \n            long, \n            venue['venue']['name'], \n            venue['venue']['location']['lat'], \n            venue['venue']['location']['lng'],  \n            venue['venue']['categories'][0]['name']))"
        }, 
        {
            "execution_count": 31, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 31, 
                    "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Borough Latitude</th>\n      <th>Borough Longitude</th>\n      <th>Venue Name</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>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>The Big Carrot Natural Food Market</td>\n      <td>43.678879</td>\n      <td>-79.297734</td>\n      <td>Health Food Store</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>Grover Pub and Grub</td>\n      <td>43.679181</td>\n      <td>-79.297215</td>\n      <td>Pub</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>Guru Raghavendra Ji</td>\n      <td>43.680187</td>\n      <td>-79.292337</td>\n      <td>Astrologer</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>The Big Carrot Natural Food Market</td>\n      <td>43.678730</td>\n      <td>-79.297478</td>\n      <td>Grocery Store</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>Upper Beaches</td>\n      <td>43.680563</td>\n      <td>-79.292869</td>\n      <td>Neighborhood</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postal Code       Borough Neighborhood  Borough Latitude  Borough Longitude  \\\n0         M4E  East Toronto  The Beaches         43.676357         -79.293031   \n1         M4E  East Toronto  The Beaches         43.676357         -79.293031   \n2         M4E  East Toronto  The Beaches         43.676357         -79.293031   \n3         M4E  East Toronto  The Beaches         43.676357         -79.293031   \n4         M4E  East Toronto  The Beaches         43.676357         -79.293031   \n\n                           Venue Name  Venue Latitude  Venue Longitude  \\\n0  The Big Carrot Natural Food Market       43.678879       -79.297734   \n1                 Grover Pub and Grub       43.679181       -79.297215   \n2                 Guru Raghavendra Ji       43.680187       -79.292337   \n3  The Big Carrot Natural Food Market       43.678730       -79.297478   \n4                       Upper Beaches       43.680563       -79.292869   \n\n      Venue Category  \n0  Health Food Store  \n1                Pub  \n2         Astrologer  \n3      Grocery Store  \n4       Neighborhood  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Make Venues DF\nVenues_df = pd.DataFrame(venues)\nVenues_df.columns = ['Postal Code', 'Borough', 'Neighborhood', 'Borough Latitude', 'Borough Longitude', 'Venue Name', 'Venue Latitude', 'Venue Longitude', 'Venue Category']\nVenues_df.head()"
        }, 
        {
            "source": "### One hot encoding", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 32, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 32, 
                    "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>Yoga Studio</th>\n      <th>Postal Code</th>\n      <th>Borough</th>\n      <th>Adult Boutique</th>\n      <th>Afghan Restaurant</th>\n      <th>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Astrologer</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Auto Workshop</th>\n      <th>BBQ Joint</th>\n      <th>Baby Store</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</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>Bike Rental / Bike Share</th>\n      <th>Bistro</th>\n      <th>Board Shop</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Boutique</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Cajun / Creole Restaurant</th>\n      <th>Camera Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Chocolate Shop</th>\n      <th>Church</th>\n      <th>Climbing Gym</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>Colombian Restaurant</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>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Cuban Restaurant</th>\n      <th>Cupcake Shop</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Doner Restaurant</th>\n      <th>Donut Shop</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>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flea Market</th>\n      <th>Flower Shop</th>\n      <th>Food</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>German Restaurant</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hookah Bar</th>\n      <th>Hospital</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Hotpot Restaurant</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Indie Movie Theater</th>\n      <th>Intersection</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>Jewish Restaurant</th>\n      <th>Juice Bar</th>\n      <th>Korean Restaurant</th>\n      <th>Lake</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Mac &amp; Cheese Joint</th>\n      <th>Malay Restaurant</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 Store</th>\n      <th>Music Venue</th>\n      <th>Neighborhood</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>Other Great Outdoors</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>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Poke Place</th>\n      <th>Pool</th>\n      <th>Portuguese Restaurant</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>Restaurant</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>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Southern / Soul Food Restaurant</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Stadium</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Swim School</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</th>\n      <th>Tanning Salon</th>\n      <th>Tapas Restaurant</th>\n      <th>Tea Room</th>\n      <th>Tennis Court</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Theme Restaurant</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</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>Wine Bar</th>\n      <th>Wine Shop</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>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>The Beaches</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Beaches</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>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>The Beaches</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>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>The Beaches</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>The Beaches</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "   Yoga Studio Postal Code       Borough  Adult Boutique  Afghan Restaurant  \\\n0            0         M4E  East Toronto               0                  0   \n1            0         M4E  East Toronto               0                  0   \n2            0         M4E  East Toronto               0                  0   \n3            0         M4E  East Toronto               0                  0   \n4            0         M4E  East Toronto               0                  0   \n\n   Airport  Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\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   Airport Terminal  American Restaurant  Antique Shop  Aquarium  Art Gallery  \\\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   Art Museum  Arts & Crafts Store  Asian Restaurant  Astrologer  \\\n0           0                    0                 0           0   \n1           0                    0                 0           0   \n2           0                    0                 0           1   \n3           0                    0                 0           0   \n4           0                    0                 0           0   \n\n   Athletics & Sports  Auto Workshop  BBQ Joint  Baby Store  Bagel Shop  \\\n0                   0              0          0           0           0   \n1                   0              0          0           0           0   \n2                   0              0          0           0           0   \n3                   0              0          0           0           0   \n4                   0              0          0           0           0   \n\n   Bakery  Bank  Bar  Baseball Stadium  Basketball Stadium  Beach  \\\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   Bed & Breakfast  Beer Bar  Beer Store  Belgian 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   Bike Rental / Bike Share  Bistro  Board Shop  Boat or Ferry  Bookstore  \\\n0                         0       0           0              0          0   \n1                         0       0           0              0          0   \n2                         0       0           0              0          0   \n3                         0       0           0              0          0   \n4                         0       0           0              0          0   \n\n   Boutique  Brazilian Restaurant  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               0        0                0   \n4         0                     0               0        0                0   \n\n   Burger Joint  Burrito Place  Bus Line  Butcher  Caf\u00e9  \\\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   Cajun / Creole Restaurant  Camera Store  Caribbean Restaurant  Cheese 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   Chinese Restaurant  Chocolate Shop  Church  Climbing Gym  Clothing Store  \\\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   Cocktail Bar  Coffee Shop  College Arts Building  College 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   College Rec Center  Colombian Restaurant  Comfort Food Restaurant  \\\n0                   0                     0                        0   \n1                   0                     0                        0   \n2                   0                     0                        0   \n3                   0                     0                        0   \n4                   0                     0                        0   \n\n   Comic Shop  Concert Hall  Convenience Store  Cosmetics 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   Coworking Space  Creperie  Cuban Restaurant  Cupcake Shop  Dance Studio  \\\n0                0         0                 0             0             0   \n1                0         0                 0             0             0   \n2                0         0                 0             0             0   \n3                0         0                 0             0             0   \n4                0         0                 0             0             0   \n\n   Deli / Bodega  Department Store  Dessert Shop  Diner  Discount Store  \\\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   Dog Run  Doner Restaurant  Donut Shop  Dumpling 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   Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n0                            0                  0                     0   \n1                            0                  0                     0   \n2                            0                  0                     0   \n3                            0                  0                     0   \n4                            0                  0                     0   \n\n   Event Space  Falafel Restaurant  Farmers Market  Fast Food 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   Filipino Restaurant  Fish & Chips Shop  Fish Market  Flea 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  Food & Drink Shop  Food Court  Food Truck  Fountain  \\\n0            0     0                  0           0           0         0   \n1            0     0                  0           0           0         0   \n2            0     0                  0           0           0         0   \n3            0     0                  0           0           0         0   \n4            0     0                  0           0           0         0   \n\n   French Restaurant  Fried Chicken Joint  Fruit & Vegetable Store  \\\n0                  0                    0                        0   \n1                  0                    0                        0   \n2                  0                    0                        0   \n3                  0                    0                        0   \n4                  0                    0                        0   \n\n   Furniture / Home Store  Gaming Cafe  Garden  Garden Center  Gastropub  \\\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   Gay Bar  General Entertainment  General Travel  German 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   Gift Shop  Gluten-free Restaurant  Gourmet Shop  Greek 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   Grocery Store  Gym  Gym / Fitness Center  Harbor / Marina  \\\n0              0    0                     0                0   \n1              0    0                     0                0   \n2              0    0                     0                0   \n3              1    0                     0                0   \n4              0    0                     0                0   \n\n   Health & Beauty Service  Health Food Store  Historic Site  History Museum  \\\n0                        0                  1              0               0   \n1                        0                  0              0               0   \n2                        0                  0              0               0   \n3                        0                  0              0               0   \n4                        0                  0              0               0   \n\n   Hobby Shop  Hookah Bar  Hospital  Hostel  Hotel  Hotel Bar  \\\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   Hotpot Restaurant  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   Intersection  Irish Pub  Italian Restaurant  Japanese 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   Jazz Club  Jewelry Store  Jewish Restaurant  Juice Bar  Korean 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   Lake  Latin American Restaurant  Light Rail Station  Lingerie 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   Liquor Store  Lounge  Mac & Cheese Joint  Malay Restaurant  Market  \\\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   Martial Arts Dojo  Massage Studio  Mediterranean Restaurant  Men's 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   Mexican Restaurant  Middle Eastern Restaurant  Miscellaneous Shop  \\\n0                   0                          0                   0   \n1                   0                          0                   0   \n2                   0                          0                   0   \n3                   0                          0                   0   \n4                   0                          0                   0   \n\n   Modern European Restaurant  Molecular Gastronomy Restaurant  \\\n0                           0                                0   \n1                           0                                0   \n2                           0                                0   \n3                           0                                0   \n4                           0                                0   \n\n   Monument / Landmark  Movie Theater  Museum  Music Store  Music Venue  \\\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  Neighborhood  New American Restaurant  Nightclub  Noodle House  Office  \\\n0  The Beaches                        0          0             0       0   \n1  The Beaches                        0          0             0       0   \n2  The Beaches                        0          0             0       0   \n3  The Beaches                        0          0             0       0   \n4  The Beaches                        0          0             0       0   \n\n   Opera House  Optical Shop  Organic Grocery  Other Great Outdoors  Park  \\\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   Performing Arts Venue  Persian Restaurant  Pet Store  Pharmacy  \\\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   Pizza Place  Plane  Playground  Plaza  Poke Place  Pool  \\\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   Portuguese Restaurant  Poutine Place  Pub  Ramen Restaurant  Record Shop  \\\n0                      0              0    0                 0            0   \n1                      0              0    1                 0            0   \n2                      0              0    0                 0            0   \n3                      0              0    0                 0            0   \n4                      0              0    0                 0            0   \n\n   Rental Car Location  Restaurant  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                    0           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  Skate Park  Skating Rink  Smoke Shop  \\\n0           0              0           0             0           0   \n1           0              0           0             0           0   \n2           0              0           0             0           0   \n3           0              0           0             0           0   \n4           0              0           0             0           0   \n\n   Smoothie Shop  Snack Place  Soup Place  Southern / Soul Food 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   Spa  Speakeasy  Sporting Goods Shop  Sports Bar  Stadium  Stationery 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   Steakhouse  Strip Club  Supermarket  Sushi Restaurant  Swim School  \\\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   Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  \\\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   Tapas Restaurant  Tea Room  Tennis Court  Thai Restaurant  Theater  \\\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   Theme Restaurant  Thrift / Vintage Store  Toy / Game Store  Trail  \\\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   Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n0              0                              0                 0   \n1              0                              0                 0   \n2              0                              0                 0   \n3              0                              0                 0   \n4              0                              0                 0   \n\n   Vietnamese Restaurant  Wine Bar  Wine Shop  Wings Joint  Women's Store  \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  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# The one hot encoding\nTorontoOneHot = pd.get_dummies(Venues_df[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n\nTorontoOneHot['Postal Code'] = Venues_df['Postal Code'] \nTorontoOneHot['Borough'] = Venues_df['Borough'] \nTorontoOneHot['Neighborhood'] = Venues_df['Neighborhood'] \n\nColumns = list(TorontoOneHot.columns[-3:]) + list(TorontoOneHot.columns[:-3])\nTorontoOneHot = TorontoOneHot[Columns]\n\nTorontoOneHot.head()"
        }, 
        {
            "source": "### Group Toronto one hot encoding and get it's mean", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 33, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 33, 
                    "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>Airport</th>\n      <th>Airport Food Court</th>\n      <th>Airport Gate</th>\n      <th>Airport Lounge</th>\n      <th>Airport Service</th>\n      <th>Airport Terminal</th>\n      <th>American Restaurant</th>\n      <th>Antique Shop</th>\n      <th>Aquarium</th>\n      <th>Art Gallery</th>\n      <th>Art Museum</th>\n      <th>Arts &amp; Crafts Store</th>\n      <th>Asian Restaurant</th>\n      <th>Astrologer</th>\n      <th>Athletics &amp; Sports</th>\n      <th>Auto Workshop</th>\n      <th>BBQ Joint</th>\n      <th>Baby Store</th>\n      <th>Bagel Shop</th>\n      <th>Bakery</th>\n      <th>Bank</th>\n      <th>Bar</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>Bike Rental / Bike Share</th>\n      <th>Bistro</th>\n      <th>Board Shop</th>\n      <th>Boat or Ferry</th>\n      <th>Bookstore</th>\n      <th>Boutique</th>\n      <th>Brazilian Restaurant</th>\n      <th>Breakfast Spot</th>\n      <th>Brewery</th>\n      <th>Bubble Tea Shop</th>\n      <th>Burger Joint</th>\n      <th>Burrito Place</th>\n      <th>Bus Line</th>\n      <th>Butcher</th>\n      <th>Caf\u00e9</th>\n      <th>Cajun / Creole Restaurant</th>\n      <th>Camera Store</th>\n      <th>Caribbean Restaurant</th>\n      <th>Cheese Shop</th>\n      <th>Chinese Restaurant</th>\n      <th>Chocolate Shop</th>\n      <th>Church</th>\n      <th>Climbing Gym</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>Colombian Restaurant</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>Coworking Space</th>\n      <th>Creperie</th>\n      <th>Cuban Restaurant</th>\n      <th>Cupcake Shop</th>\n      <th>Dance Studio</th>\n      <th>Deli / Bodega</th>\n      <th>Department Store</th>\n      <th>Dessert Shop</th>\n      <th>Diner</th>\n      <th>Discount Store</th>\n      <th>Dog Run</th>\n      <th>Doner Restaurant</th>\n      <th>Donut Shop</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>Falafel Restaurant</th>\n      <th>Farmers Market</th>\n      <th>Fast Food Restaurant</th>\n      <th>Filipino Restaurant</th>\n      <th>Fish &amp; Chips Shop</th>\n      <th>Fish Market</th>\n      <th>Flea Market</th>\n      <th>Flower Shop</th>\n      <th>Food</th>\n      <th>Food &amp; Drink Shop</th>\n      <th>Food Court</th>\n      <th>Food Truck</th>\n      <th>Fountain</th>\n      <th>French Restaurant</th>\n      <th>Fried Chicken Joint</th>\n      <th>Fruit &amp; Vegetable Store</th>\n      <th>Furniture / Home Store</th>\n      <th>Gaming Cafe</th>\n      <th>Garden</th>\n      <th>Garden Center</th>\n      <th>Gastropub</th>\n      <th>Gay Bar</th>\n      <th>General Entertainment</th>\n      <th>General Travel</th>\n      <th>German Restaurant</th>\n      <th>Gift Shop</th>\n      <th>Gluten-free Restaurant</th>\n      <th>Gourmet Shop</th>\n      <th>Greek Restaurant</th>\n      <th>Grocery Store</th>\n      <th>Gym</th>\n      <th>Gym / Fitness Center</th>\n      <th>Harbor / Marina</th>\n      <th>Health &amp; Beauty Service</th>\n      <th>Health Food Store</th>\n      <th>Historic Site</th>\n      <th>History Museum</th>\n      <th>Hobby Shop</th>\n      <th>Hookah Bar</th>\n      <th>Hospital</th>\n      <th>Hostel</th>\n      <th>Hotel</th>\n      <th>Hotel Bar</th>\n      <th>Hotpot Restaurant</th>\n      <th>Ice Cream Shop</th>\n      <th>Indian Restaurant</th>\n      <th>Indie Movie Theater</th>\n      <th>Intersection</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>Jewish Restaurant</th>\n      <th>Juice Bar</th>\n      <th>Korean Restaurant</th>\n      <th>Lake</th>\n      <th>Latin American Restaurant</th>\n      <th>Light Rail Station</th>\n      <th>Lingerie Store</th>\n      <th>Liquor Store</th>\n      <th>Lounge</th>\n      <th>Mac &amp; Cheese Joint</th>\n      <th>Malay Restaurant</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 Store</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>Other Great Outdoors</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>Pizza Place</th>\n      <th>Plane</th>\n      <th>Playground</th>\n      <th>Plaza</th>\n      <th>Poke Place</th>\n      <th>Pool</th>\n      <th>Portuguese Restaurant</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>Restaurant</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>Skate Park</th>\n      <th>Skating Rink</th>\n      <th>Smoke Shop</th>\n      <th>Smoothie Shop</th>\n      <th>Snack Place</th>\n      <th>Soup Place</th>\n      <th>Southern / Soul Food Restaurant</th>\n      <th>Spa</th>\n      <th>Speakeasy</th>\n      <th>Sporting Goods Shop</th>\n      <th>Sports Bar</th>\n      <th>Stadium</th>\n      <th>Stationery Store</th>\n      <th>Steakhouse</th>\n      <th>Strip Club</th>\n      <th>Supermarket</th>\n      <th>Sushi Restaurant</th>\n      <th>Swim School</th>\n      <th>Taco Place</th>\n      <th>Tailor Shop</th>\n      <th>Taiwanese Restaurant</th>\n      <th>Tanning Salon</th>\n      <th>Tapas Restaurant</th>\n      <th>Tea Room</th>\n      <th>Tennis Court</th>\n      <th>Thai Restaurant</th>\n      <th>Theater</th>\n      <th>Theme Restaurant</th>\n      <th>Thrift / Vintage Store</th>\n      <th>Toy / Game Store</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>Wine Bar</th>\n      <th>Wine Shop</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Adelaide,King,Richmond</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n  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<td>0.00</td>\n      <td>0.00</td>\n      <td>0.017544</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.017544</td>\n      <td>0.000000</td>\n      <td>0.017544</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.017544</td>\n      <td>0.000000</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    </tr>\n    <tr>\n      <th>2</th>\n      <td>Brockton,Exhibition Place,Parkdale Village</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</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>0.105263</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>0.105263</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>0.052632</td>\n      <td>0.000000</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>0.00</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>0.000000</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>0.00</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>0.000</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>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</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>0.000000</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>0.000</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>0.000000</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>0.00</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>0.000000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.052632</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>0.00</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>0.052632</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>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.00</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>0.00000</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    </tr>\n    <tr>\n      <th>3</th>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.00</td>\n      <td>0.066667</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</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>0.00</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>0.066667</td>\n      <td>0.066667</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>0.000</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>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.066667</td>\n      <td>0.066667</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>0.00</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>0.00</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>0.000</td>\n      <td>0.000000</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>0.066667</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>0.00</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>0.000000</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>0.00</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</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>0.066667</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>0.066667</td>\n      <td>0.00</td>\n      <td>0.066667</td>\n      <td>0.000000</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>0.00</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>0.00000</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    </tr>\n    <tr>\n      <th>4</th>\n      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.066667</td>\n      <td>0.066667</td>\n      <td>0.133333</td>\n      <td>0.2</td>\n      <td>0.133333</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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    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<td>0.000000</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>0.00</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>0.000</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>0.00000</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>0.00</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>0.066667</td>\n      <td>0.000000</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>0.000000</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>0.000</td>\n      <td>0.000000</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      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<td>0.000000</td>\n      <td>0.00000</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    </tr>\n    <tr>\n      <th>5</th>\n      <td>Cabbagetown,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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.022222</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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.044444</td>\n      <td>0.022222</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>0.022222</td>\n      <td>0.000000</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>0.022222</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>0.022222</td>\n      <td>0.044444</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.022222</td>\n      <td>0.000000</td>\n      <td>0.044444</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.088889</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      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<td>0.000000</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>0.022989</td>\n      <td>0.034483</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.057471</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.160920</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>0.011494</td>\n      <td>0.000000</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>0.011494</td>\n  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<td>0.011494</td>\n      <td>0.011494</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>0.011494</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011494</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>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022989</td>\n      <td>0.00</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>0.011494</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011494</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Chinatown,Grange Park,Kensington Market</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.010000</td>\n      <td>0.040000</td>\n      <td>0.000000</td>\n      <td>0.040000</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>0.010000</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>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.080000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.030000</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>0.040000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</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>0.020000</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>0.04</td>\n      <td>0.000000</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>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.000000</td>\n      <td>0.00000</td>\n      <td>0.010000</td>\n      <td>0.02</td>\n      <td>0.000000</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</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>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.01</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>0.00</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>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</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>0.010000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</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>0.00</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>0.010000</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>0.000000</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>0.01</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>0.000000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.060000</td>\n      <td>0.000000</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    </tr>\n    <tr>\n      <th>8</th>\n      <td>Christie</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0625</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0625</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>0.000000</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>0.187500</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>0.062500</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>0.062500</td>\n      <td>0.000000</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>0.062500</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>0.000000</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>0.000</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>0.00000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.187500</td>\n      <td>0.000000</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>0.00</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.062500</td>\n      <td>0.000000</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>0.00</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>0.00</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>0.062500</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>0.00</td>\n      <td>0.125000</td>\n      <td>0.000000</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>0.000000</td>\n      <td>0.062500</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>0.000000</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>0.00</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>0.00000</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    </tr>\n    <tr>\n      <th>9</th>\n      <td>Church and Wellesley</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.022727</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.000000</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>0.068182</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>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.011364</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>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022727</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>0.000</td>\n      <td>0.011364</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>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.034091</td>\n      <td>0.011364</td>\n      <td>0.00</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>0.011364</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.022727</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.068182</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</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>0.00</td>\n      <td>0.022727</td>\n      <td>0.022727</td>\n      <td>0.011364</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>0.011364</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>0.00</td>\n      <td>0.022727</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</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>0.022727</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.034091</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.011364</td>\n      <td>0.000000</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>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.056818</td>\n      <td>0.00</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>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.011364</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.011364</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>10</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</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>0.000000</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>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.070000</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>0.010000</td>\n      <td>0.110000</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>0.000000</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>0.030000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.010000</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>0.000</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>0.010000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.060000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.030000</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</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>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030000</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>0.000000</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>0.000000</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>0.00</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>0.020000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Davisville</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.029412</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>0.00</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>0.058824</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</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>0.088235</td>\n      <td>0.029412</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>0.000000</td>\n      <td>0.029412</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>0.029412</td>\n      <td>0.000</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>0.029412</td>\n      <td>0.00000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.029412</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.029412</td>\n      <td>0.000000</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>0.00</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>0.029412</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.029412</td>\n      <td>0.000000</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>0.00</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>0.00</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>0.00</td>\n      <td>0.00</td>\n      <td>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.058824</td>\n      <td>0.088235</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>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.088235</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.029412</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>0.000000</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>0.00</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>0.029412</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.029412</td>\n      <td>0.00000</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    </tr>\n    <tr>\n      <th>12</th>\n      <td>Davisville North</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.142857</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.142857</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>0.000000</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>0.00</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>0.000</td>\n      <td>0.142857</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>0.00000</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>0.00</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>0.142857</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.142857</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</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>0.00</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>0.00</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>0.00</td>\n      <td>0.00</td>\n      <td>0.142857</td>\n      <td>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.142857</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>0.000000</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>0.00</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>0.00000</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    </tr>\n    <tr>\n      <th>13</th>\n      <td>Deer Park,Forest Hill SE,Rathnelly,South Hill,...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.071429</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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.071429</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>0.00</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>0.000000</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>0.142857</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      <td>0.000000</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>0.000000</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>0.000</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>0.071429</td>\n      <td>0.00000</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>0.00</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>0.00</td>\n      <td>0.00</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>0.000</td>\n      <td>0.000000</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>0.071429</td>\n      <td>0.00</td>\n      <td>0.071429</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>0.000000</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>0.000000</td>\n      <td>0.00</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>0.071429</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>0.142857</td>\n      <td>0.000000</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>0.00</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>0.071429</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.071429</td>\n      <td>0.071429</td>\n      <td>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.071429</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>Design Exchange,Toronto Dominion Centre</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.030000</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>0.010000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.020000</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>0.000000</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>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.070000</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>0.120000</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>0.000000</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>0.030000</td>\n      <td>0.000000</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>0.000000</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>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.080000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.000000</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</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>0.010000</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>0.010000</td>\n      <td>0.00</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>0.020000</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>0.010000</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.030000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</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>0.000000</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>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>Dovercourt Village,Dufferin</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.105263</td>\n      <td>0.052632</td>\n      <td>0.052632</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>0.052632</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>0.052632</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>0.00</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>0.052632</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.00000</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>0.00</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>0.052632</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>0.00</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>0.000</td>\n      <td>0.000000</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>0.052632</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>0.00</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>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.052632</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.105263</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>0.052632</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>0.000000</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>0.000000</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>0.105263</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>0.00</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>0.00000</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>0.052632</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>16</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.030000</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>0.020000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.030000</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>0.00</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.090000</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>0.090000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</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>0.000000</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>0.010000</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>0.000</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>0.010000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.040000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.000000</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</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>0.020000</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>0.000000</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>0.030000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</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>0.00</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>Forest Hill North,Forest Hill West</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</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>0.20</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>0.000000</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>0.000000</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>0.00</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>0.000</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>0.00000</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>0.00</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>0.00</td>\n      <td>0.00</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.200000</td>\n      <td>0.000000</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>0.00</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>0.000000</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>0.00</td>\n      <td>0.200000</td>\n      <td>0.000000</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>0.000000</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>0.000000</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>0.200000</td>\n      <td>0.00</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>0.20000</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    </tr>\n    <tr>\n      <th>18</th>\n      <td>Harbord,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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.027778</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.083333</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>0.138889</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.027778</td>\n      <td>0.027778</td>\n      <td>0.027778</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.027778</td>\n      <td>0.000000</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>0.027778</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>0.000000</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.00000</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>0.00</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>0.027778</td>\n      <td>0.000000</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>0.00</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.055556</td>\n      <td>0.000000</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>0.00</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>0.00</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>0.027778</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.027778</td>\n      <td>0.027778</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.027778</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>0.000000</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>0.027778</td>\n      <td>0.00</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>0.027778</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.027778</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    </tr>\n    <tr>\n      <th>19</th>\n      <td>Harbourfront East,Toronto Islands,Union Station</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.05</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.02</td>\n      <td>0.010000</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>0.000000</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>0.00</td>\n      <td>0.000000</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>0.040000</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>0.120000</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>0.010000</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</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>0.000000</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>0.000000</td>\n      <td>0.000</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>0.030000</td>\n      <td>0.00000</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>0.00</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>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.050000</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.040000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</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>0.01</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</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>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.030000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.03</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>0.01</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>0.020000</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>0.010000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>Harbourfront,Regent Park</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.00</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.063830</td>\n      <td>0.021277</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>0.021277</td>\n      <td>0.000000</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>0.042553</td>\n      <td>0.021277</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>0.042553</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>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.170213</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>0.021277</td>\n      <td>0.000000</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>0.021277</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>0.021277</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.021277</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.00000</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>0.00</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>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.021277</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>0.021277</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.042553</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.063830</td>\n      <td>0.021277</td>\n      <td>0.000000</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>0.042553</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.042553</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>0.021277</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>0.021277</td>\n      <td>0.000000</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>0.00</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>0.042553</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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    </tr>\n    <tr>\n      <th>21</th>\n      <td>High Park,The Junction South</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.000000</td>\n      <td>0.086957</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>0.043478</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>0.086957</td>\n      <td>0.043478</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>0.00</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>0.043478</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.043478</td>\n      <td>0.00000</td>\n      <td>0.043478</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.000000</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>0.00</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.086957</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>0.043478</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>0.00</td>\n      <td>0.043478</td>\n      <td>0.000000</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>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.043478</td>\n      <td>0.000000</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>0.00</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>0.043478</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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    </tr>\n    <tr>\n      <th>22</th>\n      <td>Lawrence Park</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</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>0.25</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>0.000000</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>0.00</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>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.00000</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>0.00</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>0.00</td>\n      <td>0.00</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00</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>0.000000</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>0.00</td>\n      <td>0.250000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      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    <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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    </tr>\n    <tr>\n      <th>23</th>\n      <td>Little Portugal,Trinity</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.048387</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.032258</td>\n      <td>0.000000</td>\n      <td>0.129032</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>0.016129</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>0.016129</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>0.032258</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>0.032258</td>\n      <td>0.048387</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      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<td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.048387</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.016129</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>0.016129</td>\n      <td>0.032258</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>0.00</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.032258</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>0.016129</td>\n      <td>0.000000</td>\n      <td>0.032258</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.016129</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.016129</td>\n      <td>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.032258</td>\n      <td>0.016129</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>Moore Park,Summerhill East</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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      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<td>0.000000</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.333333</td>\n      <td>0.000000</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>0.333333</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>0.00</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>0.000000</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>0.00</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>0.333333</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>0.00000</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    </tr>\n    <tr>\n      <th>25</th>\n      <td>North Toronto West</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.111111</td>\n      <td>0.000000</td>\n      <td>0.111111</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>0.055556</td>\n      <td>0.000000</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>0.055556</td>\n      <td>0.055556</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</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>0.000</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>0.00000</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>0.00</td>\n      <td>0.055556</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>0.00</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>0.000</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</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>0.055556</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</td>\n      <td>0.055556</td>\n      <td>0.000000</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>0.00</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>0.00000</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    </tr>\n    <tr>\n      <th>26</th>\n      <td>Parkdale,Roncesvalles</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.066667</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>0.066667</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.133333</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</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>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.066667</td>\n      <td>0.000000</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>0.000</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>0.00000</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>0.00</td>\n      <td>0.133333</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>0.00</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</td>\n      <td>0.000000</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>0.00</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>0.00</td>\n      <td>0.066667</td>\n      <td>0.000000</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>0.00</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.066667</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>0.000000</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>0.00</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>0.00000</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    </tr>\n    <tr>\n      <th>27</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</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>0.000000</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>0.00</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>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.00000</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>0.00</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>0.00</td>\n      <td>0.00</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>0.000</td>\n      <td>0.000000</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>0.00</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>0.00</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>0.00</td>\n      <td>0.00</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>0.250000</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>0.00</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>0.000000</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>0.00</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>0.25000</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    </tr>\n    <tr>\n      <th>28</th>\n      <td>Roselawn</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</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>0.000000</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>0.00</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>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00</td>\n      <td>0.00</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>0.000</td>\n      <td>0.000000</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>0.00</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>0.00</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>0.00</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>0.00</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>0.00</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>0.000000</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>0.00</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>0.00000</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    </tr>\n    <tr>\n      <th>29</th>\n      <td>Runnymede,Swansea</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</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>0.025000</td>\n      <td>0.025000</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>0.025000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.075000</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>0.075000</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      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</td>\n      <td>0.025000</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>0.050000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.025000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025</td>\n      <td>0.025000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</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>0.00</td>\n      <td>0.025000</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>0.000000</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>0.000000</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>0.025</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</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>0.00</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>0.000000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</td>\n      <td>0.075000</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>0.025000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</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>0.025000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.025000</td>\n      <td>0.000000</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>0.050000</td>\n      <td>0.00</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>0.025000</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.025000</td>\n      <td>0.000000</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    </tr>\n    <tr>\n      <th>30</th>\n      <td>Ryerson,Garden District</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.010000</td>\n      <td>0.010000</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>0.000000</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>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.040000</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>0.060000</td>\n      <td>0.000000</td>\n      <td>0.100000</td>\n      <td>0.000000</td>\n      <td>0.000000</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>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</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>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.000000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</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>0.01</td>\n      <td>0.00</td>\n      <td>0.000000</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>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</td>\n      <td>0.020000</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>0.000000</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>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.030000</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>0.000000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>0.020000</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>0.000000</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>0.020000</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>0.010000</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>0.000000</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>0.020000</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>0.010000</td>\n      <td>0.00</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>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>31</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.020000</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>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.0000</td>\n      <td>0.010000</td>\n      <td>0.030000</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>0.00</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.030000</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>0.060000</td>\n      <td>0.000000</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>0.010000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.020000</td>\n      <td>0.070000</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>0.040000</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      <td>0.020000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</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>0.000000</td>\n      <td>0.000</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>0.00000</td>\n      <td>0.010000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.030000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.010000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010000</td>\n      <td>0.050000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.020000</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>0.010000</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>0.000000</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>0.000000</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>0.00</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010000</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>0.00</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>0.020000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.050000</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>0.000000</td>\n      <td>0.020000</td>\n      <td>0.000000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.010000</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>0.000000</td>\n      <td>0.00</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>0.000000</td>\n      <td>0.010000</td>\n      <td>0.010000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.01</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.00</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.010638</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.031915</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.021277</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>0.042553</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.031915</td>\n      <td>0.106383</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</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>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.021277</td>\n      <td>0.021277</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</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>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.010638</td>\n      <td>0.031915</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.031915</td>\n      <td>0.021277</td>\n      <td>0.010638</td>\n      <td>0.000000</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>0.010638</td>\n      <td>0.021277</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>0.010638</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.010638</td>\n      <td>0.000000</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>0.010638</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.021277</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.042553</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.031915</td>\n      <td>0.000000</td>\n      <td>0.010638</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>0.010638</td>\n      <td>0.000000</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>0.010638</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>0.010638</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.010638</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00000</td>\n      <td>0.00</td>\n      <td>0.010638</td>\n      <td>0.000000</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    </tr>\n    <tr>\n      <th>33</th>\n      <td>Studio District</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.052632</td>\n      <td>0.026316</td>\n      <td>0.026316</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>0.026316</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.026316</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>0.105263</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.078947</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.026316</td>\n      <td>0.000000</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>0.00</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>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.00000</td>\n      <td>0.000000</td>\n      <td>0.00</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>0.00</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>0.026316</td>\n      <td>0.000000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</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>0.026316</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.026316</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</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>0.000000</td>\n      <td>0.026316</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.026316</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.026316</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>0.000000</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>0.00000</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    </tr>\n    <tr>\n      <th>34</th>\n      <td>The Annex,North Midtown,Yorkville</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.041667</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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.0000</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>0.000000</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>0.041667</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.125000</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>0.125000</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>0.041667</td>\n      <td>0.000000</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>0.00</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>0.000</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>0.00000</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>0.00</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>0.041667</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>0.00</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.000</td>\n      <td>0.000000</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>0.041667</td>\n      <td>0.000000</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>0.041667</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>0.000000</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>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.083333</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.041667</td>\n      <td>0.083333</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>0.041667</td>\n      <td>0.000000</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>0.125000</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>0.000000</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>0.00</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>0.00000</td>\n      <td>0.00</td>\n      <td>0.041667</td>\n      <td>0.000000</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    </tr>\n    <tr>\n      <th>35</th>\n      <td>The Beaches</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.2</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.000000</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>0.000000</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>0.00</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>0.00</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000</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>0.00000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.200000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.200000</td>\n      <td>0.000000</td>\n      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<td>0.000000</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>0.00</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>0.000000</td>\n      <td>0.200000</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      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<td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</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>0.047619</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>0.047619</td>\n      <td>0.000000</td>\n      <td>0.047619</td>\n      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<td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.047619</td>\n      <td>0.000000</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.047619</td>\n      <td>0.000000</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>0.047619</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>0.000000</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>0.047619</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.047619</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.047619</td>\n      <td>0.000000</td>\n      <td>0.047619</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>0.047619</td>\n      <td>0.000000</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>0.095238</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      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<td>0.000000</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.023810</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>0.0</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.0000</td>\n      <td>0.000000</td>\n      <td>0.023810</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>0.023810</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.023810</td>\n      <td>0.000000</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>0.095238</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>0.023810</td>\n      <td>0.000000</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>0.023810</td>\n      <td>0.023810</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>0.000000</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>0.000</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>0.02381</td>\n      <td>0.047619</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.000000</td>\n      <td>0.214286</td>\n      <td>0.023810</td>\n      <td>0.000000</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>0.00</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>0.071429</td>\n      <td>0.023810</td>\n      <td>0.000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.071429</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</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>0.023810</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>0.000000</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>0.000000</td>\n      <td>0.00</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>0.023810</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>0.023810</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</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>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.023810</td>\n      <td>0.000000</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>0.00</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>0.02381</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    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                         Neighborhood  Yoga Studio  \\\n0                              Adelaide,King,Richmond     0.000000   \n1                                         Berczy Park     0.000000   \n2          Brockton,Exhibition Place,Parkdale Village     0.000000   \n3   Business Reply Mail Processing Centre 969 Eastern     0.000000   \n4   CN Tower,Bathurst Quay,Island airport,Harbourf...     0.000000   \n5                          Cabbagetown,St. James Town     0.000000   \n6                                  Central Bay Street     0.011494   \n7             Chinatown,Grange Park,Kensington Market     0.000000   \n8                                            Christie     0.000000   \n9                                Church and Wellesley     0.011364   \n10                      Commerce Court,Victoria Hotel     0.000000   \n11                                         Davisville     0.000000   \n12                                   Davisville North     0.000000   \n13  Deer Park,Forest Hill SE,Rathnelly,South Hill,...     0.000000   \n14            Design Exchange,Toronto Dominion Centre     0.000000   \n15                        Dovercourt Village,Dufferin     0.000000   \n16              First Canadian Place,Underground city     0.000000   \n17                 Forest Hill North,Forest Hill West     0.000000   \n18                      Harbord,University of Toronto     0.000000   \n19    Harbourfront East,Toronto Islands,Union Station     0.000000   \n20                           Harbourfront,Regent Park     0.021277   \n21                       High Park,The Junction South     0.000000   \n22                                      Lawrence Park     0.000000   \n23                            Little Portugal,Trinity     0.016129   \n24                         Moore Park,Summerhill East     0.000000   \n25                                 North Toronto West     0.055556   \n26                              Parkdale,Roncesvalles     0.000000   \n27                                           Rosedale     0.000000   \n28                                           Roselawn     0.000000   \n29                                  Runnymede,Swansea     0.000000   \n30                            Ryerson,Garden District     0.000000   \n31                                     St. James Town     0.000000   \n32                    Stn A PO Boxes 25 The Esplanade     0.000000   \n33                                    Studio District     0.026316   \n34                  The Annex,North Midtown,Yorkville     0.000000   \n35                                        The Beaches     0.000000   \n36                      The Beaches West,India Bazaar     0.000000   \n37                        The Danforth West,Riverdale     0.023810   \n\n    Adult Boutique  Afghan Restaurant   Airport  Airport Food Court  \\\n0         0.000000           0.000000  0.000000            0.000000   \n1         0.000000           0.000000  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  0.066667            0.066667   \n5         0.000000           0.000000  0.000000            0.000000   \n6         0.000000           0.000000  0.000000            0.000000   \n7         0.000000           0.000000  0.000000            0.000000   \n8         0.000000           0.000000  0.000000            0.000000   \n9         0.011364           0.011364  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  0.000000            0.000000   \n16        0.000000           0.000000  0.000000            0.000000   \n17        0.000000           0.000000  0.000000            0.000000   \n18        0.000000           0.000000  0.000000            0.000000   \n19        0.000000           0.000000  0.000000            0.000000   \n20        0.000000           0.000000  0.000000            0.000000   \n21        0.000000           0.000000  0.000000            0.000000   \n22        0.000000           0.000000  0.000000            0.000000   \n23        0.000000           0.000000  0.000000            0.000000   \n24        0.000000           0.000000  0.000000            0.000000   \n25        0.000000           0.000000  0.000000            0.000000   \n26        0.000000           0.000000  0.000000            0.000000   \n27        0.000000           0.000000  0.000000            0.000000   \n28        0.000000           0.000000  0.000000            0.000000   \n29        0.000000           0.000000  0.000000            0.000000   \n30        0.000000           0.000000  0.000000            0.000000   \n31        0.000000           0.000000  0.000000            0.000000   \n32        0.000000           0.000000  0.000000            0.000000   \n33        0.000000           0.000000  0.000000            0.000000   \n34        0.000000           0.000000  0.000000            0.000000   \n35        0.000000           0.000000  0.000000            0.000000   \n36        0.000000           0.000000  0.000000            0.000000   \n37        0.000000           0.000000  0.000000            0.000000   \n\n    Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n0       0.000000        0.000000              0.0          0.000000   \n1       0.000000        0.000000              0.0          0.000000   \n2       0.000000        0.000000              0.0          0.000000   \n3       0.000000        0.000000              0.0          0.000000   \n4       0.066667        0.133333              0.2          0.133333   \n5       0.000000        0.000000              0.0          0.000000   \n6       0.000000        0.000000              0.0          0.000000   \n7       0.000000        0.000000              0.0          0.000000   \n8       0.000000        0.000000              0.0          0.000000   \n9       0.000000        0.000000              0.0          0.000000   \n10      0.000000        0.000000              0.0          0.000000   \n11      0.000000        0.000000              0.0          0.000000   \n12      0.000000        0.000000              0.0          0.000000   \n13      0.000000        0.000000              0.0          0.000000   \n14      0.000000        0.000000              0.0          0.000000   \n15      0.000000        0.000000              0.0          0.000000   \n16      0.000000        0.000000              0.0          0.000000   \n17      0.000000        0.000000              0.0          0.000000   \n18      0.000000        0.000000              0.0          0.000000   \n19      0.000000        0.000000              0.0          0.000000   \n20      0.000000        0.000000              0.0          0.000000   \n21      0.000000        0.000000              0.0          0.000000   \n22      0.000000        0.000000              0.0          0.000000   \n23      0.000000        0.000000              0.0          0.000000   \n24      0.000000        0.000000              0.0          0.000000   \n25      0.000000        0.000000              0.0          0.000000   \n26      0.000000        0.000000              0.0          0.000000   \n27      0.000000        0.000000              0.0          0.000000   \n28      0.000000        0.000000              0.0          0.000000   \n29      0.000000        0.000000              0.0          0.000000   \n30      0.000000        0.000000              0.0          0.000000   \n31      0.000000        0.000000              0.0          0.000000   \n32      0.000000        0.000000              0.0          0.000000   \n33      0.000000        0.000000              0.0          0.000000   \n34      0.000000        0.000000              0.0          0.000000   \n35      0.000000        0.000000              0.0          0.000000   \n36      0.000000        0.000000              0.0          0.000000   \n37      0.000000        0.000000              0.0          0.000000   \n\n    American Restaurant  Antique Shop  Aquarium  Art Gallery  Art Museum  \\\n0              0.040000      0.000000      0.00     0.010000    0.010000   \n1              0.000000      0.000000      0.00     0.017544    0.000000   \n2              0.000000      0.000000      0.00     0.000000    0.000000   \n3              0.000000      0.000000      0.00     0.000000    0.000000   \n4              0.000000      0.000000      0.00     0.000000    0.000000   \n5              0.022222      0.000000      0.00     0.000000    0.000000   \n6              0.011494      0.000000      0.00     0.000000    0.011494   \n7              0.000000      0.000000      0.00     0.000000    0.000000   \n8              0.000000      0.000000      0.00     0.000000    0.000000   \n9              0.011364      0.000000      0.00     0.000000    0.000000   \n10             0.040000      0.000000      0.00     0.010000    0.000000   \n11             0.000000      0.000000      0.00     0.000000    0.000000   \n12             0.000000      0.000000      0.00     0.000000    0.000000   \n13             0.071429      0.000000      0.00     0.000000    0.000000   \n14             0.030000      0.000000      0.00     0.010000    0.000000   \n15             0.000000      0.000000      0.00     0.000000    0.000000   \n16             0.030000      0.000000      0.00     0.010000    0.000000   \n17             0.000000      0.000000      0.00     0.000000    0.000000   \n18             0.000000      0.000000      0.00     0.000000    0.000000   \n19             0.000000      0.000000      0.05     0.010000    0.000000   \n20             0.000000      0.021277      0.00     0.021277    0.000000   \n21             0.000000      0.043478      0.00     0.000000    0.000000   \n22             0.000000      0.000000      0.00     0.000000    0.000000   \n23             0.000000      0.000000      0.00     0.016129    0.000000   \n24             0.000000      0.000000      0.00     0.000000    0.000000   \n25             0.000000      0.000000      0.00     0.000000    0.000000   \n26             0.000000      0.000000      0.00     0.000000    0.000000   \n27             0.000000      0.000000      0.00     0.000000    0.000000   \n28             0.000000      0.000000      0.00     0.000000    0.000000   \n29             0.000000      0.000000      0.00     0.000000    0.000000   \n30             0.010000      0.000000      0.00     0.010000    0.000000   \n31             0.020000      0.000000      0.00     0.010000    0.000000   \n32             0.000000      0.010638      0.00     0.021277    0.000000   \n33             0.052632      0.000000      0.00     0.000000    0.000000   \n34             0.041667      0.000000      0.00     0.000000    0.000000   \n35             0.000000      0.000000      0.00     0.000000    0.000000   \n36             0.000000      0.000000      0.00     0.000000    0.000000   \n37             0.023810      0.000000      0.00     0.000000    0.000000   \n\n    Arts & Crafts Store  Asian Restaurant  Astrologer  Athletics & Sports  \\\n0              0.000000          0.020000         0.0              0.0000   \n1              0.000000          0.000000         0.0              0.0000   \n2              0.000000          0.000000         0.0              0.0000   \n3              0.000000          0.000000         0.0              0.0000   \n4              0.000000          0.000000         0.0              0.0000   \n5              0.000000          0.000000         0.0              0.0000   \n6              0.011494          0.000000         0.0              0.0000   \n7              0.010000          0.000000         0.0              0.0000   \n8              0.000000          0.000000         0.0              0.0625   \n9              0.011364          0.000000         0.0              0.0000   \n10             0.000000          0.000000         0.0              0.0000   \n11             0.000000          0.000000         0.0              0.0000   \n12             0.000000          0.000000         0.0              0.0000   \n13             0.000000          0.000000         0.0              0.0000   \n14             0.000000          0.010000         0.0              0.0000   \n15             0.000000          0.000000         0.0              0.0000   \n16             0.000000          0.020000         0.0              0.0000   \n17             0.000000          0.000000         0.0              0.0000   \n18             0.000000          0.000000         0.0              0.0000   \n19             0.000000          0.000000         0.0              0.0000   \n20             0.000000          0.000000         0.0              0.0000   \n21             0.043478          0.000000         0.0              0.0000   \n22             0.000000          0.000000         0.0              0.0000   \n23             0.000000          0.048387         0.0              0.0000   \n24             0.000000          0.000000         0.0              0.0000   \n25             0.000000          0.000000         0.0              0.0000   \n26             0.000000          0.000000         0.0              0.0000   \n27             0.000000          0.000000         0.0              0.0000   \n28             0.000000          0.000000         0.0              0.0000   \n29             0.000000          0.000000         0.0              0.0000   \n30             0.000000          0.000000         0.0              0.0000   \n31             0.000000          0.000000         0.0              0.0000   \n32             0.000000          0.000000         0.0              0.0000   \n33             0.000000          0.000000         0.0              0.0000   \n34             0.000000          0.000000         0.0              0.0000   \n35             0.000000          0.000000         0.2              0.0000   \n36             0.000000          0.000000         0.0              0.0000   \n37             0.000000          0.000000         0.0              0.0000   \n\n    Auto Workshop  BBQ Joint  Baby Store  Bagel Shop    Bakery      Bank  \\\n0        0.000000   0.000000      0.0000    0.000000  0.030000  0.000000   \n1        0.000000   0.000000      0.0000    0.017544  0.035088  0.000000   \n2        0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n3        0.066667   0.000000      0.0000    0.000000  0.000000  0.000000   \n4        0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n5        0.000000   0.000000      0.0000    0.000000  0.044444  0.022222   \n6        0.000000   0.000000      0.0000    0.000000  0.022989  0.000000   \n7        0.000000   0.000000      0.0000    0.010000  0.040000  0.000000   \n8        0.000000   0.000000      0.0625    0.000000  0.000000  0.000000   \n9        0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n10       0.000000   0.000000      0.0000    0.000000  0.030000  0.010000   \n11       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n12       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n13       0.000000   0.000000      0.0000    0.071429  0.000000  0.000000   \n14       0.000000   0.000000      0.0000    0.000000  0.030000  0.000000   \n15       0.000000   0.000000      0.0000    0.000000  0.105263  0.052632   \n16       0.000000   0.000000      0.0000    0.000000  0.030000  0.000000   \n17       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n18       0.000000   0.000000      0.0000    0.000000  0.055556  0.000000   \n19       0.000000   0.000000      0.0000    0.000000  0.030000  0.010000   \n20       0.000000   0.000000      0.0000    0.000000  0.063830  0.021277   \n21       0.000000   0.000000      0.0000    0.000000  0.043478  0.000000   \n22       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n23       0.000000   0.000000      0.0000    0.000000  0.032258  0.000000   \n24       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n25       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n26       0.000000   0.000000      0.0000    0.000000  0.000000  0.066667   \n27       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n28       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n29       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n30       0.000000   0.000000      0.0000    0.000000  0.020000  0.010000   \n31       0.000000   0.010000      0.0000    0.010000  0.030000  0.010000   \n32       0.000000   0.000000      0.0000    0.010638  0.021277  0.000000   \n33       0.000000   0.000000      0.0000    0.000000  0.052632  0.026316   \n34       0.000000   0.041667      0.0000    0.000000  0.000000  0.000000   \n35       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n36       0.000000   0.000000      0.0000    0.000000  0.000000  0.000000   \n37       0.000000   0.000000      0.0000    0.000000  0.023810  0.000000   \n\n         Bar  Baseball Stadium  Basketball Stadium     Beach  Bed & Breakfast  \\\n0   0.040000              0.00            0.000000  0.000000             0.00   \n1   0.000000              0.00            0.017544  0.017544             0.00   \n2   0.052632              0.00            0.000000  0.000000             0.00   \n3   0.000000              0.00            0.000000  0.000000             0.00   \n4   0.000000              0.00            0.000000  0.000000             0.00   \n5   0.000000              0.00            0.000000  0.000000             0.00   \n6   0.022989              0.00            0.000000  0.000000             0.00   \n7   0.040000              0.00            0.000000  0.000000             0.01   \n8   0.000000              0.00            0.000000  0.000000             0.00   \n9   0.000000              0.00            0.000000  0.000000             0.00   \n10  0.020000              0.00            0.000000  0.000000             0.00   \n11  0.000000              0.00            0.000000  0.000000             0.00   \n12  0.000000              0.00            0.000000  0.000000             0.00   \n13  0.000000              0.00            0.000000  0.000000             0.00   \n14  0.020000              0.00            0.010000  0.000000             0.00   \n15  0.052632              0.00            0.000000  0.000000             0.00   \n16  0.030000              0.00            0.000000  0.000000             0.00   \n17  0.000000              0.00            0.000000  0.000000             0.00   \n18  0.055556              0.00            0.000000  0.000000             0.00   \n19  0.020000              0.02            0.010000  0.000000             0.00   \n20  0.000000              0.00            0.000000  0.000000             0.00   \n21  0.086957              0.00            0.000000  0.000000             0.00   \n22  0.000000              0.00            0.000000  0.000000             0.00   \n23  0.129032              0.00            0.000000  0.000000             0.00   \n24  0.000000              0.00            0.000000  0.000000             0.00   \n25  0.000000              0.00            0.000000  0.000000             0.00   \n26  0.066667              0.00            0.000000  0.000000             0.00   \n27  0.000000              0.00            0.000000  0.000000             0.00   \n28  0.000000              0.00            0.000000  0.000000             0.00   \n29  0.025000              0.00            0.000000  0.000000             0.00   \n30  0.010000              0.00            0.000000  0.000000             0.00   \n31  0.000000              0.00            0.000000  0.000000             0.00   \n32  0.000000              0.00            0.010638  0.000000             0.00   \n33  0.026316              0.00            0.000000  0.000000             0.00   \n34  0.000000              0.00            0.000000  0.000000             0.00   \n35  0.000000              0.00            0.000000  0.000000             0.00   \n36  0.000000              0.00            0.000000  0.000000             0.00   \n37  0.000000              0.00            0.000000  0.000000             0.00   \n\n    Beer Bar  Beer Store  Belgian Restaurant  Bike Rental / Bike Share  \\\n0   0.000000    0.000000            0.000000                  0.000000   \n1   0.035088    0.000000            0.017544                  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            0.000000                  0.000000   \n5   0.000000    0.022222            0.000000                  0.000000   \n6   0.000000    0.000000            0.000000                  0.011494   \n7   0.010000    0.000000            0.010000                  0.000000   \n8   0.000000    0.000000            0.000000                  0.000000   \n9   0.000000    0.000000            0.000000                  0.000000   \n10  0.020000    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  0.020000    0.000000            0.000000                  0.000000   \n15  0.000000    0.000000            0.000000                  0.000000   \n16  0.020000    0.000000            0.000000                  0.000000   \n17  0.000000    0.000000            0.000000                  0.000000   \n18  0.027778    0.027778            0.000000                  0.000000   \n19  0.010000    0.000000            0.000000                  0.000000   \n20  0.000000    0.021277            0.000000                  0.000000   \n21  0.000000    0.000000            0.000000                  0.000000   \n22  0.000000    0.000000            0.000000                  0.000000   \n23  0.000000    0.000000            0.000000                  0.000000   \n24  0.000000    0.000000            0.000000                  0.000000   \n25  0.000000    0.000000            0.000000                  0.000000   \n26  0.000000    0.000000            0.000000                  0.000000   \n27  0.000000    0.000000            0.000000                  0.000000   \n28  0.000000    0.000000            0.000000                  0.000000   \n29  0.000000    0.000000            0.000000                  0.000000   \n30  0.010000    0.000000            0.000000                  0.000000   \n31  0.020000    0.000000            0.000000                  0.000000   \n32  0.031915    0.000000            0.010638                  0.000000   \n33  0.000000    0.000000            0.000000                  0.000000   \n34  0.000000    0.000000            0.000000                  0.000000   \n35  0.000000    0.000000            0.000000                  0.000000   \n36  0.000000    0.000000            0.000000                  0.000000   \n37  0.000000    0.000000            0.000000                  0.000000   \n\n      Bistro  Board Shop  Boat or Ferry  Bookstore  Boutique  \\\n0   0.000000    0.000000       0.000000   0.010000  0.000000   \n1   0.017544    0.000000       0.000000   0.000000  0.000000   \n2   0.000000    0.000000       0.000000   0.000000  0.000000   \n3   0.000000    0.000000       0.000000   0.000000  0.000000   \n4   0.000000    0.000000       0.066667   0.000000  0.066667   \n5   0.000000    0.000000       0.000000   0.000000  0.000000   \n6   0.000000    0.000000       0.000000   0.000000  0.000000   \n7   0.000000    0.000000       0.000000   0.000000  0.000000   \n8   0.000000    0.000000       0.000000   0.000000  0.000000   \n9   0.000000    0.000000       0.000000   0.011364  0.000000   \n10  0.000000    0.000000       0.000000   0.010000  0.000000   \n11  0.000000    0.000000       0.000000   0.000000  0.000000   \n12  0.000000    0.000000       0.000000   0.000000  0.000000   \n13  0.000000    0.000000       0.000000   0.000000  0.000000   \n14  0.000000    0.000000       0.000000   0.010000  0.000000   \n15  0.000000    0.000000       0.000000   0.000000  0.000000   \n16  0.000000    0.000000       0.000000   0.010000  0.000000   \n17  0.000000    0.000000       0.000000   0.000000  0.000000   \n18  0.000000    0.000000       0.000000   0.083333  0.000000   \n19  0.010000    0.000000       0.000000   0.000000  0.000000   \n20  0.000000    0.000000       0.000000   0.000000  0.000000   \n21  0.000000    0.000000       0.000000   0.043478  0.000000   \n22  0.000000    0.000000       0.000000   0.000000  0.000000   \n23  0.016129    0.000000       0.000000   0.000000  0.000000   \n24  0.000000    0.000000       0.000000   0.000000  0.000000   \n25  0.000000    0.000000       0.000000   0.000000  0.000000   \n26  0.000000    0.000000       0.000000   0.066667  0.000000   \n27  0.000000    0.000000       0.000000   0.000000  0.000000   \n28  0.000000    0.000000       0.000000   0.000000  0.000000   \n29  0.000000    0.000000       0.000000   0.025000  0.025000   \n30  0.000000    0.000000       0.000000   0.010000  0.000000   \n31  0.000000    0.000000       0.000000   0.010000  0.000000   \n32  0.010638    0.000000       0.000000   0.010638  0.000000   \n33  0.000000    0.000000       0.000000   0.026316  0.000000   \n34  0.000000    0.000000       0.000000   0.000000  0.000000   \n35  0.000000    0.000000       0.000000   0.000000  0.000000   \n36  0.000000    0.047619       0.000000   0.000000  0.000000   \n37  0.000000    0.000000       0.000000   0.023810  0.000000   \n\n    Brazilian Restaurant  Breakfast Spot   Brewery  Bubble Tea Shop  \\\n0                   0.01        0.020000  0.000000         0.000000   \n1                   0.00        0.017544  0.000000         0.000000   \n2                   0.00        0.105263  0.000000         0.000000   \n3                   0.00        0.000000  0.066667         0.000000   \n4                   0.00        0.000000  0.000000         0.000000   \n5                   0.00        0.022222  0.000000         0.000000   \n6                   0.00        0.000000  0.000000         0.022989   \n7                   0.00        0.010000  0.010000         0.010000   \n8                   0.00        0.000000  0.000000         0.000000   \n9                   0.00        0.011364  0.000000         0.022727   \n10                  0.00        0.010000  0.000000         0.000000   \n11                  0.00        0.000000  0.029412         0.000000   \n12                  0.00        0.142857  0.000000         0.000000   \n13                  0.00        0.000000  0.000000         0.000000   \n14                  0.00        0.010000  0.000000         0.000000   \n15                  0.00        0.000000  0.052632         0.000000   \n16                  0.01        0.010000  0.000000         0.000000   \n17                  0.00        0.000000  0.000000         0.000000   \n18                  0.00        0.000000  0.000000         0.000000   \n19                  0.00        0.000000  0.030000         0.010000   \n20                  0.00        0.042553  0.021277         0.000000   \n21                  0.00        0.000000  0.000000         0.000000   \n22                  0.00        0.000000  0.000000         0.000000   \n23                  0.00        0.000000  0.016129         0.000000   \n24                  0.00        0.000000  0.000000         0.000000   \n25                  0.00        0.000000  0.000000         0.000000   \n26                  0.00        0.133333  0.000000         0.000000   \n27                  0.00        0.000000  0.000000         0.000000   \n28                  0.00        0.000000  0.000000         0.000000   \n29                  0.00        0.000000  0.000000         0.000000   \n30                  0.00        0.000000  0.000000         0.020000   \n31                  0.00        0.030000  0.000000         0.000000   \n32                  0.00        0.021277  0.000000         0.000000   \n33                  0.00        0.000000  0.026316         0.000000   \n34                  0.00        0.000000  0.000000         0.000000   \n35                  0.00        0.000000  0.000000         0.000000   \n36                  0.00        0.000000  0.047619         0.000000   \n37                  0.00        0.000000  0.023810         0.023810   \n\n    Burger Joint  Burrito Place  Bus Line   Butcher      Caf\u00e9  \\\n0       0.030000       0.010000      0.00  0.000000  0.050000   \n1       0.000000       0.000000      0.00  0.000000  0.035088   \n2       0.000000       0.052632      0.00  0.000000  0.105263   \n3       0.000000       0.066667      0.00  0.066667  0.000000   \n4       0.000000       0.000000      0.00  0.000000  0.000000   \n5       0.000000       0.000000      0.00  0.022222  0.044444   \n6       0.034483       0.000000      0.00  0.000000  0.057471   \n7       0.020000       0.010000      0.00  0.000000  0.080000   \n8       0.000000       0.000000      0.00  0.000000  0.187500   \n9       0.022727       0.011364      0.00  0.000000  0.022727   \n10      0.010000       0.000000      0.00  0.000000  0.070000   \n11      0.000000       0.000000      0.00  0.000000  0.058824   \n12      0.000000       0.000000      0.00  0.000000  0.000000   \n13      0.000000       0.000000      0.00  0.000000  0.000000   \n14      0.020000       0.000000      0.00  0.000000  0.070000   \n15      0.000000       0.000000      0.00  0.000000  0.052632   \n16      0.030000       0.010000      0.00  0.000000  0.090000   \n17      0.000000       0.000000      0.20  0.000000  0.000000   \n18      0.000000       0.000000      0.00  0.000000  0.138889   \n19      0.000000       0.000000      0.00  0.000000  0.040000   \n20      0.000000       0.000000      0.00  0.000000  0.042553   \n21      0.000000       0.000000      0.00  0.000000  0.086957   \n22      0.000000       0.000000      0.25  0.000000  0.000000   \n23      0.000000       0.000000      0.00  0.000000  0.032258   \n24      0.000000       0.000000      0.00  0.000000  0.000000   \n25      0.000000       0.000000      0.00  0.000000  0.000000   \n26      0.000000       0.000000      0.00  0.000000  0.000000   \n27      0.000000       0.000000      0.00  0.000000  0.000000   \n28      0.000000       0.000000      0.00  0.000000  0.000000   \n29      0.000000       0.025000      0.00  0.000000  0.075000   \n30      0.010000       0.010000      0.00  0.000000  0.040000   \n31      0.000000       0.000000      0.00  0.000000  0.060000   \n32      0.000000       0.000000      0.00  0.000000  0.042553   \n33      0.000000       0.000000      0.00  0.000000  0.105263   \n34      0.041667       0.000000      0.00  0.000000  0.125000   \n35      0.000000       0.000000      0.00  0.000000  0.000000   \n36      0.047619       0.047619      0.00  0.000000  0.000000   \n37      0.000000       0.000000      0.00  0.000000  0.023810   \n\n    Cajun / Creole Restaurant  Camera Store  Caribbean Restaurant  \\\n0                    0.000000          0.00              0.000000   \n1                    0.000000          0.00              0.000000   \n2                    0.000000          0.00              0.052632   \n3                    0.000000          0.00              0.000000   \n4                    0.000000          0.00              0.000000   \n5                    0.000000          0.00              0.022222   \n6                    0.000000          0.00              0.000000   \n7                    0.000000          0.00              0.020000   \n8                    0.000000          0.00              0.000000   \n9                    0.000000          0.00              0.011364   \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   \n17                   0.000000          0.00              0.000000   \n18                   0.000000          0.00              0.000000   \n19                   0.000000          0.00              0.000000   \n20                   0.000000          0.00              0.000000   \n21                   0.043478          0.00              0.000000   \n22                   0.000000          0.00              0.000000   \n23                   0.000000          0.00              0.000000   \n24                   0.000000          0.00              0.000000   \n25                   0.000000          0.00              0.000000   \n26                   0.000000          0.00              0.000000   \n27                   0.000000          0.00              0.000000   \n28                   0.000000          0.00              0.000000   \n29                   0.000000          0.00              0.000000   \n30                   0.000000          0.00              0.000000   \n31                   0.000000          0.01              0.000000   \n32                   0.000000          0.00              0.000000   \n33                   0.000000          0.00              0.000000   \n34                   0.000000          0.00              0.000000   \n35                   0.000000          0.00              0.000000   \n36                   0.000000          0.00              0.000000   \n37                   0.000000          0.00              0.023810   \n\n    Cheese Shop  Chinese Restaurant  Chocolate Shop    Church  Climbing Gym  \\\n0      0.000000            0.000000        0.000000  0.000000      0.000000   \n1      0.035088            0.000000        0.000000  0.000000      0.000000   \n2      0.000000            0.000000        0.000000  0.000000      0.052632   \n3      0.000000            0.000000        0.000000  0.000000      0.000000   \n4      0.000000            0.000000        0.000000  0.000000      0.000000   \n5      0.000000            0.044444        0.000000  0.000000      0.000000   \n6      0.000000            0.022989        0.000000  0.000000      0.000000   \n7      0.010000            0.030000        0.000000  0.000000      0.000000   \n8      0.000000            0.000000        0.000000  0.000000      0.000000   \n9      0.000000            0.000000        0.000000  0.000000      0.000000   \n10     0.000000            0.000000        0.000000  0.000000      0.000000   \n11     0.000000            0.000000        0.000000  0.000000      0.000000   \n12     0.000000            0.000000        0.000000  0.000000      0.000000   \n13     0.000000            0.000000        0.000000  0.000000      0.000000   \n14     0.000000            0.010000        0.000000  0.000000      0.000000   \n15     0.000000            0.000000        0.000000  0.000000      0.000000   \n16     0.000000            0.000000        0.000000  0.000000      0.000000   \n17     0.000000            0.000000        0.000000  0.000000      0.000000   \n18     0.000000            0.027778        0.000000  0.000000      0.000000   \n19     0.000000            0.010000        0.000000  0.000000      0.000000   \n20     0.000000            0.000000        0.021277  0.000000      0.000000   \n21     0.000000            0.000000        0.000000  0.000000      0.000000   \n22     0.000000            0.000000        0.000000  0.000000      0.000000   \n23     0.000000            0.000000        0.000000  0.000000      0.000000   \n24     0.000000            0.000000        0.000000  0.000000      0.000000   \n25     0.000000            0.055556        0.000000  0.000000      0.000000   \n26     0.000000            0.000000        0.000000  0.000000      0.000000   \n27     0.000000            0.000000        0.000000  0.000000      0.000000   \n28     0.000000            0.000000        0.000000  0.000000      0.000000   \n29     0.000000            0.000000        0.000000  0.000000      0.000000   \n30     0.000000            0.010000        0.000000  0.000000      0.000000   \n31     0.010000            0.000000        0.000000  0.010000      0.000000   \n32     0.021277            0.000000        0.000000  0.010638      0.000000   \n33     0.026316            0.026316        0.000000  0.000000      0.000000   \n34     0.000000            0.000000        0.000000  0.000000      0.000000   \n35     0.000000            0.000000        0.000000  0.000000      0.000000   \n36     0.000000            0.000000        0.000000  0.000000      0.000000   \n37     0.000000            0.000000        0.000000  0.000000      0.000000   \n\n    Clothing Store  Cocktail Bar  Coffee Shop  College Arts Building  \\\n0         0.010000      0.010000     0.060000               0.000000   \n1         0.017544      0.052632     0.087719               0.000000   \n2         0.000000      0.000000     0.105263               0.000000   \n3         0.000000      0.000000     0.000000               0.000000   \n4         0.000000      0.000000     0.000000               0.000000   \n5         0.000000      0.000000     0.088889               0.000000   \n6         0.011494      0.000000     0.160920               0.000000   \n7         0.000000      0.020000     0.040000               0.000000   \n8         0.000000      0.000000     0.062500               0.000000   \n9         0.000000      0.000000     0.068182               0.000000   \n10        0.000000      0.010000     0.110000               0.000000   \n11        0.000000      0.000000     0.058824               0.000000   \n12        0.142857      0.000000     0.000000               0.000000   \n13        0.000000      0.000000     0.142857               0.000000   \n14        0.000000      0.010000     0.120000               0.000000   \n15        0.000000      0.000000     0.000000               0.000000   \n16        0.000000      0.000000     0.090000               0.000000   \n17        0.000000      0.000000     0.000000               0.000000   \n18        0.000000      0.000000     0.027778               0.027778   \n19        0.000000      0.000000     0.120000               0.000000   \n20        0.000000      0.000000     0.170213               0.000000   \n21        0.000000      0.000000     0.000000               0.000000   \n22        0.000000      0.000000     0.000000               0.000000   \n23        0.000000      0.032258     0.048387               0.000000   \n24        0.000000      0.000000     0.000000               0.000000   \n25        0.111111      0.000000     0.111111               0.000000   \n26        0.000000      0.000000     0.066667               0.000000   \n27        0.000000      0.000000     0.000000               0.000000   \n28        0.000000      0.000000     0.000000               0.000000   \n29        0.000000      0.000000     0.075000               0.000000   \n30        0.060000      0.000000     0.100000               0.000000   \n31        0.030000      0.020000     0.070000               0.000000   \n32        0.010638      0.031915     0.106383               0.000000   \n33        0.026316      0.000000     0.078947               0.000000   \n34        0.000000      0.000000     0.125000               0.000000   \n35        0.000000      0.000000     0.000000               0.000000   \n36        0.000000      0.000000     0.047619               0.000000   \n37        0.000000      0.000000     0.095238               0.000000   \n\n    College Gym  College Rec Center  Colombian Restaurant  \\\n0      0.000000                0.00                  0.01   \n1      0.000000                0.00                  0.00   \n2      0.000000                0.00                  0.00   \n3      0.000000                0.00                  0.00   \n4      0.000000                0.00                  0.00   \n5      0.000000                0.00                  0.00   \n6      0.000000                0.00                  0.00   \n7      0.000000                0.00                  0.00   \n8      0.000000                0.00                  0.00   \n9      0.000000                0.00                  0.00   \n10     0.000000                0.00                  0.00   \n11     0.000000                0.00                  0.00   \n12     0.000000                0.00                  0.00   \n13     0.000000                0.00                  0.00   \n14     0.000000                0.00                  0.00   \n15     0.000000                0.00                  0.00   \n16     0.000000                0.00                  0.01   \n17     0.000000                0.00                  0.00   \n18     0.027778                0.00                  0.00   \n19     0.000000                0.00                  0.00   \n20     0.000000                0.00                  0.00   \n21     0.000000                0.00                  0.00   \n22     0.000000                0.00                  0.00   \n23     0.000000                0.00                  0.00   \n24     0.000000                0.00                  0.00   \n25     0.000000                0.00                  0.00   \n26     0.000000                0.00                  0.00   \n27     0.000000                0.00                  0.00   \n28     0.000000                0.00                  0.00   \n29     0.000000                0.00                  0.00   \n30     0.000000                0.01                  0.00   \n31     0.000000                0.00                  0.00   \n32     0.000000                0.00                  0.00   \n33     0.000000                0.00                  0.00   \n34     0.000000                0.00                  0.00   \n35     0.000000                0.00                  0.00   \n36     0.000000                0.00                  0.00   \n37     0.000000                0.00                  0.00   \n\n    Comfort Food Restaurant  Comic Shop  Concert Hall  Convenience Store  \\\n0                  0.000000    0.000000      0.020000           0.000000   \n1                  0.017544    0.000000      0.017544           0.000000   \n2                  0.000000    0.000000      0.000000           0.052632   \n3                  0.000000    0.066667      0.000000           0.000000   \n4                  0.000000    0.000000      0.000000           0.000000   \n5                  0.000000    0.000000      0.000000           0.000000   \n6                  0.000000    0.011494      0.000000           0.000000   \n7                  0.010000    0.000000      0.000000           0.000000   \n8                  0.000000    0.000000      0.000000           0.062500   \n9                  0.000000    0.000000      0.000000           0.000000   \n10                 0.000000    0.000000      0.010000           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      0.010000           0.000000   \n15                 0.000000    0.000000      0.000000           0.000000   \n16                 0.000000    0.000000      0.020000           0.000000   \n17                 0.000000    0.000000      0.000000           0.000000   \n18                 0.027778    0.000000      0.000000           0.000000   \n19                 0.000000    0.000000      0.000000           0.010000   \n20                 0.000000    0.000000      0.000000           0.000000   \n21                 0.000000    0.000000      0.000000           0.000000   \n22                 0.000000    0.000000      0.000000           0.000000   \n23                 0.000000    0.000000      0.000000           0.000000   \n24                 0.000000    0.000000      0.000000           0.000000   \n25                 0.000000    0.000000      0.000000           0.000000   \n26                 0.000000    0.000000      0.000000           0.000000   \n27                 0.000000    0.000000      0.000000           0.000000   \n28                 0.000000    0.000000      0.000000           0.000000   \n29                 0.000000    0.000000      0.000000           0.000000   \n30                 0.000000    0.010000      0.000000           0.000000   \n31                 0.000000    0.000000      0.000000           0.000000   \n32                 0.010638    0.000000      0.010638           0.000000   \n33                 0.026316    0.000000      0.000000           0.026316   \n34                 0.000000    0.000000      0.000000           0.000000   \n35                 0.000000    0.000000      0.000000           0.000000   \n36                 0.000000    0.000000      0.000000           0.000000   \n37                 0.000000    0.000000      0.000000           0.000000   \n\n    Cosmetics Shop  Coworking Space  Creperie  Cuban Restaurant  Cupcake Shop  \\\n0         0.030000         0.000000  0.000000          0.000000      0.010000   \n1         0.000000         0.000000  0.017544          0.000000      0.000000   \n2         0.000000         0.000000  0.000000          0.000000      0.000000   \n3         0.000000         0.000000  0.000000          0.000000      0.000000   \n4         0.000000         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         0.000000         0.000000  0.000000          0.000000      0.000000   \n8         0.000000         0.000000  0.000000          0.000000      0.000000   \n9         0.000000         0.000000  0.011364          0.000000      0.000000   \n10        0.000000         0.000000  0.010000          0.000000      0.010000   \n11        0.000000         0.000000  0.000000          0.000000      0.000000   \n12        0.000000         0.000000  0.000000          0.000000      0.000000   \n13        0.000000         0.000000  0.000000          0.000000      0.000000   \n14        0.000000         0.000000  0.000000          0.000000      0.000000   \n15        0.000000         0.000000  0.000000          0.000000      0.000000   \n16        0.000000         0.000000  0.000000          0.000000      0.010000   \n17        0.000000         0.000000  0.000000          0.000000      0.000000   \n18        0.000000         0.000000  0.000000          0.000000      0.000000   \n19        0.000000         0.000000  0.000000          0.000000      0.000000   \n20        0.021277         0.000000  0.000000          0.000000      0.000000   \n21        0.000000         0.000000  0.000000          0.000000      0.000000   \n22        0.000000         0.000000  0.000000          0.000000      0.000000   \n23        0.000000         0.000000  0.000000          0.016129      0.016129   \n24        0.000000         0.000000  0.000000          0.000000      0.000000   \n25        0.055556         0.000000  0.000000          0.000000      0.000000   \n26        0.000000         0.000000  0.000000          0.066667      0.000000   \n27        0.000000         0.000000  0.000000          0.000000      0.000000   \n28        0.000000         0.000000  0.000000          0.000000      0.000000   \n29        0.000000         0.000000  0.000000          0.000000      0.000000   \n30        0.040000         0.000000  0.000000          0.000000      0.000000   \n31        0.040000         0.000000  0.010000          0.000000      0.000000   \n32        0.010638         0.000000  0.021277          0.000000      0.000000   \n33        0.000000         0.026316  0.000000          0.000000      0.000000   \n34        0.041667         0.000000  0.000000          0.000000      0.000000   \n35        0.000000         0.000000  0.000000          0.000000      0.000000   \n36        0.000000         0.000000  0.000000          0.000000      0.000000   \n37        0.023810         0.000000  0.000000          0.000000      0.000000   \n\n    Dance Studio  Deli / Bodega  Department Store  Dessert Shop     Diner  \\\n0       0.010000       0.010000          0.010000      0.000000  0.000000   \n1       0.000000       0.000000          0.000000      0.000000  0.017544   \n2       0.000000       0.000000          0.000000      0.000000  0.000000   \n3       0.000000       0.000000          0.000000      0.000000  0.000000   \n4       0.000000       0.000000          0.000000      0.000000  0.000000   \n5       0.000000       0.022222          0.000000      0.000000  0.022222   \n6       0.000000       0.000000          0.011494      0.011494  0.011494   \n7       0.000000       0.000000          0.000000      0.020000  0.000000   \n8       0.000000       0.000000          0.000000      0.000000  0.062500   \n9       0.011364       0.000000          0.000000      0.000000  0.011364   \n10      0.000000       0.030000          0.010000      0.000000  0.000000   \n11      0.000000       0.000000          0.000000      0.088235  0.029412   \n12      0.000000       0.000000          0.000000      0.000000  0.000000   \n13      0.000000       0.000000          0.000000      0.000000  0.000000   \n14      0.000000       0.030000          0.000000      0.000000  0.000000   \n15      0.000000       0.000000          0.000000      0.000000  0.000000   \n16      0.000000       0.030000          0.010000      0.000000  0.000000   \n17      0.000000       0.000000          0.000000      0.000000  0.000000   \n18      0.000000       0.000000          0.000000      0.027778  0.000000   \n19      0.010000       0.010000          0.000000      0.000000  0.000000   \n20      0.000000       0.000000          0.000000      0.021277  0.000000   \n21      0.000000       0.000000          0.000000      0.000000  0.043478   \n22      0.000000       0.000000          0.000000      0.000000  0.000000   \n23      0.000000       0.016129          0.000000      0.000000  0.016129   \n24      0.000000       0.000000          0.000000      0.000000  0.000000   \n25      0.000000       0.000000          0.000000      0.055556  0.055556   \n26      0.000000       0.000000          0.000000      0.066667  0.000000   \n27      0.000000       0.000000          0.000000      0.000000  0.000000   \n28      0.000000       0.000000          0.000000      0.000000  0.000000   \n29      0.000000       0.000000          0.000000      0.025000  0.025000   \n30      0.000000       0.000000          0.010000      0.010000  0.010000   \n31      0.000000       0.000000          0.010000      0.000000  0.020000   \n32      0.000000       0.010638          0.000000      0.000000  0.010638   \n33      0.000000       0.000000          0.000000      0.000000  0.000000   \n34      0.000000       0.000000          0.000000      0.000000  0.000000   \n35      0.000000       0.000000          0.000000      0.000000  0.000000   \n36      0.000000       0.000000          0.000000      0.000000  0.000000   \n37      0.000000       0.000000          0.000000      0.023810  0.023810   \n\n    Discount Store   Dog Run  Doner Restaurant  Donut Shop  \\\n0         0.000000  0.000000              0.00    0.000000   \n1         0.000000  0.000000              0.00    0.000000   \n2         0.000000  0.000000              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              0.00    0.000000   \n6         0.011494  0.000000              0.00    0.011494   \n7         0.000000  0.000000              0.01    0.010000   \n8         0.000000  0.000000              0.00    0.000000   \n9         0.000000  0.011364              0.00    0.000000   \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  0.000000              0.00    0.000000   \n15        0.052632  0.000000              0.00    0.000000   \n16        0.000000  0.000000              0.00    0.000000   \n17        0.000000  0.000000              0.00    0.000000   \n18        0.000000  0.000000              0.00    0.000000   \n19        0.010000  0.000000              0.00    0.000000   \n20        0.000000  0.000000              0.00    0.000000   \n21        0.000000  0.000000              0.00    0.000000   \n22        0.000000  0.000000              0.00    0.000000   \n23        0.000000  0.016129              0.00    0.000000   \n24        0.000000  0.000000              0.00    0.000000   \n25        0.000000  0.000000              0.00    0.000000   \n26        0.000000  0.066667              0.00    0.000000   \n27        0.000000  0.000000              0.00    0.000000   \n28        0.000000  0.000000              0.00    0.000000   \n29        0.000000  0.000000              0.00    0.000000   \n30        0.000000  0.000000              0.00    0.000000   \n31        0.000000  0.000000              0.00    0.000000   \n32        0.000000  0.000000              0.00    0.000000   \n33        0.000000  0.000000              0.00    0.000000   \n34        0.000000  0.000000              0.00    0.000000   \n35        0.000000  0.000000              0.00    0.000000   \n36        0.000000  0.000000              0.00    0.000000   \n37        0.000000  0.000000              0.00    0.000000   \n\n    Dumpling Restaurant  Eastern European Restaurant  Electronics Store  \\\n0                  0.00                     0.000000           0.010000   \n1                  0.00                     0.017544           0.000000   \n2                  0.00                     0.000000           0.000000   \n3                  0.00                     0.000000           0.000000   \n4                  0.00                     0.000000           0.000000   \n5                  0.00                     0.000000           0.000000   \n6                  0.00                     0.000000           0.000000   \n7                  0.04                     0.000000           0.000000   \n8                  0.00                     0.000000           0.000000   \n9                  0.00                     0.000000           0.000000   \n10                 0.00                     0.000000           0.000000   \n11                 0.00                     0.000000           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                     0.000000           0.000000   \n16                 0.00                     0.000000           0.000000   \n17                 0.00                     0.000000           0.000000   \n18                 0.00                     0.000000           0.000000   \n19                 0.00                     0.000000           0.000000   \n20                 0.00                     0.000000           0.021277   \n21                 0.00                     0.000000           0.000000   \n22                 0.00                     0.000000           0.000000   \n23                 0.00                     0.000000           0.000000   \n24                 0.00                     0.000000           0.000000   \n25                 0.00                     0.000000           0.000000   \n26                 0.00                     0.066667           0.000000   \n27                 0.00                     0.000000           0.000000   \n28                 0.00                     0.000000           0.000000   \n29                 0.00                     0.000000           0.050000   \n30                 0.00                     0.000000           0.000000   \n31                 0.00                     0.000000           0.010000   \n32                 0.00                     0.010638           0.000000   \n33                 0.00                     0.000000           0.000000   \n34                 0.00                     0.000000           0.000000   \n35                 0.00                     0.000000           0.000000   \n36                 0.00                     0.000000           0.000000   \n37                 0.00                     0.000000           0.000000   \n\n    Ethiopian Restaurant  Event Space  Falafel Restaurant  Farmers Market  \\\n0               0.000000     0.000000            0.000000        0.000000   \n1               0.000000     0.000000            0.000000        0.035088   \n2               0.000000     0.000000            0.000000        0.000000   \n3               0.000000     0.000000            0.000000        0.066667   \n4               0.000000     0.000000            0.000000        0.000000   \n5               0.000000     0.000000            0.000000        0.000000   \n6               0.000000     0.000000            0.011494        0.000000   \n7               0.000000     0.000000            0.000000        0.020000   \n8               0.000000     0.000000            0.000000        0.000000   \n9               0.011364     0.000000            0.000000        0.000000   \n10              0.000000     0.000000            0.000000        0.000000   \n11              0.000000     0.000000            0.000000        0.029412   \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            0.000000        0.000000   \n16              0.000000     0.000000            0.000000        0.000000   \n17              0.000000     0.000000            0.000000        0.000000   \n18              0.000000     0.000000            0.000000        0.000000   \n19              0.000000     0.010000            0.000000        0.000000   \n20              0.000000     0.021277            0.000000        0.021277   \n21              0.000000     0.000000            0.000000        0.000000   \n22              0.000000     0.000000            0.000000        0.000000   \n23              0.000000     0.000000            0.000000        0.000000   \n24              0.000000     0.000000            0.000000        0.000000   \n25              0.000000     0.000000            0.000000        0.000000   \n26              0.000000     0.000000            0.000000        0.000000   \n27              0.000000     0.000000            0.000000        0.000000   \n28              0.000000     0.000000            0.000000        0.000000   \n29              0.000000     0.000000            0.025000        0.000000   \n30              0.010000     0.000000            0.000000        0.000000   \n31              0.000000     0.000000            0.000000        0.020000   \n32              0.000000     0.000000            0.000000        0.021277   \n33              0.000000     0.000000            0.000000        0.000000   \n34              0.000000     0.000000            0.000000        0.000000   \n35              0.000000     0.000000            0.000000        0.000000   \n36              0.000000     0.000000            0.000000        0.000000   \n37              0.000000     0.000000            0.000000        0.000000   \n\n    Fast Food Restaurant  Filipino Restaurant  Fish & Chips Shop  Fish Market  \\\n0               0.000000                 0.00           0.000000     0.000000   \n1               0.000000                 0.00           0.000000     0.017544   \n2               0.000000                 0.00           0.000000     0.000000   \n3               0.066667                 0.00           0.000000     0.000000   \n4               0.000000                 0.00           0.000000     0.000000   \n5               0.000000                 0.00           0.000000     0.000000   \n6               0.000000                 0.00           0.000000     0.000000   \n7               0.000000                 0.01           0.010000     0.000000   \n8               0.000000                 0.00           0.000000     0.000000   \n9               0.022727                 0.00           0.000000     0.000000   \n10              0.010000                 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              0.010000                 0.00           0.000000     0.000000   \n15              0.052632                 0.00           0.000000     0.000000   \n16              0.010000                 0.00           0.000000     0.000000   \n17              0.000000                 0.00           0.000000     0.000000   \n18              0.000000                 0.00           0.000000     0.000000   \n19              0.010000                 0.00           0.000000     0.000000   \n20              0.000000                 0.00           0.000000     0.000000   \n21              0.043478                 0.00           0.000000     0.000000   \n22              0.000000                 0.00           0.000000     0.000000   \n23              0.000000                 0.00           0.000000     0.000000   \n24              0.000000                 0.00           0.000000     0.000000   \n25              0.055556                 0.00           0.000000     0.000000   \n26              0.000000                 0.00           0.000000     0.000000   \n27              0.000000                 0.00           0.000000     0.000000   \n28              0.000000                 0.00           0.000000     0.000000   \n29              0.000000                 0.00           0.025000     0.000000   \n30              0.020000                 0.00           0.000000     0.000000   \n31              0.010000                 0.00           0.000000     0.010000   \n32              0.021277                 0.00           0.000000     0.010638   \n33              0.000000                 0.00           0.000000     0.026316   \n34              0.000000                 0.00           0.000000     0.000000   \n35              0.000000                 0.00           0.000000     0.000000   \n36              0.047619                 0.00           0.047619     0.000000   \n37              0.000000                 0.00           0.000000     0.000000   \n\n    Flea Market  Flower Shop   Food  Food & Drink Shop  Food Court  \\\n0      0.000000     0.000000  0.000           0.000000        0.01   \n1      0.000000     0.000000  0.000           0.000000        0.00   \n2      0.000000     0.000000  0.000           0.000000        0.00   \n3      0.000000     0.000000  0.000           0.000000        0.00   \n4      0.000000     0.000000  0.000           0.000000        0.00   \n5      0.000000     0.000000  0.000           0.000000        0.00   \n6      0.000000     0.000000  0.000           0.000000        0.00   \n7      0.000000     0.000000  0.000           0.000000        0.01   \n8      0.000000     0.000000  0.000           0.000000        0.00   \n9      0.000000     0.000000  0.000           0.011364        0.00   \n10     0.000000     0.000000  0.000           0.000000        0.01   \n11     0.000000     0.029412  0.000           0.000000        0.00   \n12     0.000000     0.000000  0.000           0.142857        0.00   \n13     0.000000     0.000000  0.000           0.000000        0.00   \n14     0.000000     0.000000  0.000           0.000000        0.01   \n15     0.000000     0.000000  0.000           0.000000        0.00   \n16     0.000000     0.000000  0.000           0.000000        0.01   \n17     0.000000     0.000000  0.000           0.000000        0.00   \n18     0.000000     0.000000  0.000           0.000000        0.00   \n19     0.000000     0.000000  0.000           0.000000        0.00   \n20     0.000000     0.000000  0.000           0.000000        0.00   \n21     0.043478     0.000000  0.000           0.000000        0.00   \n22     0.000000     0.000000  0.000           0.000000        0.00   \n23     0.000000     0.000000  0.000           0.000000        0.00   \n24     0.000000     0.000000  0.000           0.000000        0.00   \n25     0.000000     0.000000  0.000           0.000000        0.00   \n26     0.000000     0.000000  0.000           0.000000        0.00   \n27     0.000000     0.000000  0.000           0.000000        0.00   \n28     0.000000     0.000000  0.000           0.000000        0.00   \n29     0.000000     0.000000  0.025           0.025000        0.00   \n30     0.000000     0.000000  0.000           0.000000        0.01   \n31     0.000000     0.000000  0.000           0.000000        0.00   \n32     0.000000     0.000000  0.000           0.000000        0.00   \n33     0.000000     0.000000  0.000           0.000000        0.00   \n34     0.000000     0.000000  0.000           0.000000        0.00   \n35     0.000000     0.000000  0.000           0.000000        0.00   \n36     0.000000     0.000000  0.000           0.047619        0.00   \n37     0.000000     0.000000  0.000           0.000000        0.00   \n\n    Food Truck  Fountain  French Restaurant  Fried Chicken Joint  \\\n0     0.000000  0.000000           0.000000             0.000000   \n1     0.000000  0.017544           0.017544             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           0.000000             0.000000   \n5     0.000000  0.000000           0.000000             0.000000   \n6     0.000000  0.000000           0.011494             0.011494   \n7     0.000000  0.000000           0.000000             0.000000   \n8     0.000000  0.000000           0.000000             0.000000   \n9     0.000000  0.000000           0.000000             0.000000   \n10    0.010000  0.000000           0.010000             0.010000   \n11    0.000000  0.000000           0.000000             0.029412   \n12    0.000000  0.000000           0.000000             0.000000   \n13    0.000000  0.000000           0.000000             0.071429   \n14    0.000000  0.000000           0.010000             0.010000   \n15    0.000000  0.000000           0.000000             0.000000   \n16    0.000000  0.000000           0.000000             0.010000   \n17    0.000000  0.000000           0.000000             0.000000   \n18    0.000000  0.000000           0.027778             0.000000   \n19    0.000000  0.000000           0.000000             0.030000   \n20    0.000000  0.000000           0.021277             0.000000   \n21    0.000000  0.000000           0.000000             0.043478   \n22    0.000000  0.000000           0.000000             0.000000   \n23    0.000000  0.000000           0.016129             0.000000   \n24    0.000000  0.000000           0.000000             0.000000   \n25    0.000000  0.000000           0.000000             0.000000   \n26    0.000000  0.000000           0.000000             0.000000   \n27    0.000000  0.000000           0.000000             0.000000   \n28    0.000000  0.000000           0.000000             0.000000   \n29    0.000000  0.000000           0.025000             0.000000   \n30    0.000000  0.000000           0.000000             0.000000   \n31    0.010000  0.010000           0.010000             0.000000   \n32    0.010638  0.010638           0.010638             0.000000   \n33    0.000000  0.000000           0.000000             0.000000   \n34    0.000000  0.000000           0.000000             0.000000   \n35    0.000000  0.000000           0.000000             0.000000   \n36    0.000000  0.000000           0.000000             0.000000   \n37    0.000000  0.000000           0.000000             0.000000   \n\n    Fruit & Vegetable Store  Furniture / Home Store  Gaming Cafe    Garden  \\\n0                   0.00000                0.000000         0.00  0.000000   \n1                   0.00000                0.000000         0.00  0.000000   \n2                   0.00000                0.052632         0.00  0.000000   \n3                   0.00000                0.000000         0.00  0.066667   \n4                   0.00000                0.000000         0.00  0.000000   \n5                   0.00000                0.000000         0.00  0.000000   \n6                   0.00000                0.011494         0.00  0.000000   \n7                   0.00000                0.010000         0.02  0.000000   \n8                   0.00000                0.000000         0.00  0.000000   \n9                   0.00000                0.000000         0.00  0.000000   \n10                  0.00000                0.000000         0.00  0.000000   \n11                  0.00000                0.000000         0.00  0.000000   \n12                  0.00000                0.000000         0.00  0.000000   \n13                  0.00000                0.000000         0.00  0.000000   \n14                  0.00000                0.000000         0.00  0.000000   \n15                  0.00000                0.000000         0.00  0.000000   \n16                  0.00000                0.000000         0.00  0.000000   \n17                  0.00000                0.000000         0.00  0.000000   \n18                  0.00000                0.000000         0.00  0.000000   \n19                  0.00000                0.000000         0.00  0.000000   \n20                  0.00000                0.000000         0.00  0.000000   \n21                  0.00000                0.043478         0.00  0.000000   \n22                  0.00000                0.000000         0.00  0.000000   \n23                  0.00000                0.000000         0.00  0.000000   \n24                  0.00000                0.000000         0.00  0.000000   \n25                  0.00000                0.000000         0.00  0.000000   \n26                  0.00000                0.000000         0.00  0.000000   \n27                  0.00000                0.000000         0.00  0.000000   \n28                  0.00000                0.000000         0.00  1.000000   \n29                  0.00000                0.000000         0.00  0.000000   \n30                  0.00000                0.010000         0.00  0.000000   \n31                  0.00000                0.010000         0.00  0.000000   \n32                  0.00000                0.000000         0.00  0.000000   \n33                  0.00000                0.000000         0.00  0.000000   \n34                  0.00000                0.000000         0.00  0.000000   \n35                  0.00000                0.000000         0.00  0.000000   \n36                  0.00000                0.000000         0.00  0.000000   \n37                  0.02381                0.047619         0.00  0.000000   \n\n    Garden Center  Gastropub   Gay Bar  General Entertainment  General Travel  \\\n0        0.000000   0.020000  0.000000               0.000000            0.01   \n1        0.000000   0.000000  0.000000               0.000000            0.00   \n2        0.000000   0.000000  0.000000               0.000000            0.00   \n3        0.066667   0.000000  0.000000               0.000000            0.00   \n4        0.000000   0.000000  0.000000               0.000000            0.00   \n5        0.000000   0.022222  0.000000               0.022222            0.00   \n6        0.000000   0.011494  0.000000               0.000000            0.00   \n7        0.000000   0.000000  0.000000               0.000000            0.00   \n8        0.000000   0.000000  0.000000               0.000000            0.00   \n9        0.000000   0.022727  0.034091               0.011364            0.00   \n10       0.000000   0.030000  0.000000               0.000000            0.00   \n11       0.000000   0.000000  0.000000               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   0.030000  0.000000               0.000000            0.00   \n15       0.000000   0.000000  0.000000               0.000000            0.00   \n16       0.000000   0.030000  0.000000               0.000000            0.01   \n17       0.000000   0.000000  0.000000               0.000000            0.00   \n18       0.000000   0.000000  0.000000               0.000000            0.00   \n19       0.000000   0.000000  0.000000               0.000000            0.00   \n20       0.000000   0.000000  0.000000               0.000000            0.00   \n21       0.000000   0.043478  0.000000               0.000000            0.00   \n22       0.000000   0.000000  0.000000               0.000000            0.00   \n23       0.000000   0.000000  0.000000               0.000000            0.00   \n24       0.000000   0.000000  0.000000               0.000000            0.00   \n25       0.000000   0.000000  0.000000               0.000000            0.00   \n26       0.000000   0.000000  0.000000               0.000000            0.00   \n27       0.000000   0.000000  0.000000               0.000000            0.00   \n28       0.000000   0.000000  0.000000               0.000000            0.00   \n29       0.000000   0.025000  0.000000               0.000000            0.00   \n30       0.000000   0.010000  0.000000               0.000000            0.00   \n31       0.000000   0.030000  0.000000               0.000000            0.00   \n32       0.000000   0.010638  0.000000               0.000000            0.00   \n33       0.000000   0.052632  0.000000               0.000000            0.00   \n34       0.000000   0.000000  0.000000               0.000000            0.00   \n35       0.000000   0.000000  0.000000               0.000000            0.00   \n36       0.000000   0.000000  0.000000               0.000000            0.00   \n37       0.000000   0.000000  0.000000               0.000000            0.00   \n\n    German Restaurant  Gift Shop  Gluten-free Restaurant  Gourmet Shop  \\\n0                0.00   0.000000                    0.01      0.000000   \n1                0.00   0.000000                    0.00      0.017544   \n2                0.00   0.000000                    0.00      0.000000   \n3                0.00   0.000000                    0.00      0.000000   \n4                0.00   0.000000                    0.00      0.000000   \n5                0.00   0.022222                    0.00      0.022222   \n6                0.00   0.000000                    0.00      0.000000   \n7                0.00   0.000000                    0.00      0.010000   \n8                0.00   0.000000                    0.00      0.000000   \n9                0.00   0.000000                    0.00      0.000000   \n10               0.00   0.000000                    0.01      0.000000   \n11               0.00   0.000000                    0.00      0.029412   \n12               0.00   0.000000                    0.00      0.000000   \n13               0.00   0.000000                    0.00      0.000000   \n14               0.00   0.000000                    0.01      0.000000   \n15               0.00   0.000000                    0.00      0.000000   \n16               0.00   0.000000                    0.01      0.000000   \n17               0.00   0.000000                    0.00      0.000000   \n18               0.00   0.000000                    0.00      0.000000   \n19               0.00   0.000000                    0.00      0.000000   \n20               0.00   0.000000                    0.00      0.000000   \n21               0.00   0.000000                    0.00      0.000000   \n22               0.00   0.000000                    0.00      0.000000   \n23               0.00   0.016129                    0.00      0.000000   \n24               0.00   0.000000                    0.00      0.000000   \n25               0.00   0.055556                    0.00      0.000000   \n26               0.00   0.133333                    0.00      0.000000   \n27               0.00   0.000000                    0.00      0.000000   \n28               0.00   0.000000                    0.00      0.000000   \n29               0.00   0.000000                    0.00      0.025000   \n30               0.00   0.000000                    0.00      0.000000   \n31               0.01   0.000000                    0.00      0.000000   \n32               0.00   0.000000                    0.00      0.010638   \n33               0.00   0.000000                    0.00      0.000000   \n34               0.00   0.000000                    0.00      0.000000   \n35               0.00   0.000000                    0.00      0.000000   \n36               0.00   0.000000                    0.00      0.000000   \n37               0.00   0.000000                    0.00      0.000000   \n\n    Greek Restaurant  Grocery Store       Gym  Gym / Fitness Center  \\\n0           0.010000       0.000000  0.020000              0.010000   \n1           0.017544       0.000000  0.000000              0.000000   \n2           0.000000       0.052632  0.052632              0.000000   \n3           0.000000       0.000000  0.000000              0.000000   \n4           0.000000       0.000000  0.000000              0.000000   \n5           0.000000       0.000000  0.000000              0.000000   \n6           0.000000       0.000000  0.000000              0.011494   \n7           0.000000       0.020000  0.000000              0.000000   \n8           0.000000       0.187500  0.000000              0.000000   \n9           0.000000       0.011364  0.022727              0.000000   \n10          0.010000       0.000000  0.020000              0.010000   \n11          0.029412       0.000000  0.029412              0.000000   \n12          0.000000       0.000000  0.142857              0.000000   \n13          0.000000       0.000000  0.000000              0.000000   \n14          0.010000       0.000000  0.020000              0.010000   \n15          0.000000       0.000000  0.000000              0.052632   \n16          0.010000       0.000000  0.020000              0.010000   \n17          0.000000       0.000000  0.000000              0.000000   \n18          0.000000       0.000000  0.027778              0.000000   \n19          0.000000       0.000000  0.000000              0.000000   \n20          0.000000       0.000000  0.000000              0.021277   \n21          0.000000       0.043478  0.000000              0.000000   \n22          0.000000       0.000000  0.000000              0.000000   \n23          0.016129       0.000000  0.000000              0.016129   \n24          0.000000       0.000000  0.000000              0.000000   \n25          0.000000       0.000000  0.000000              0.000000   \n26          0.000000       0.000000  0.000000              0.000000   \n27          0.000000       0.000000  0.000000              0.000000   \n28          0.000000       0.000000  0.000000              0.000000   \n29          0.000000       0.000000  0.050000              0.000000   \n30          0.000000       0.000000  0.010000              0.010000   \n31          0.000000       0.010000  0.020000              0.000000   \n32          0.000000       0.000000  0.010638              0.000000   \n33          0.000000       0.000000  0.000000              0.026316   \n34          0.000000       0.000000  0.000000              0.000000   \n35          0.000000       0.200000  0.000000              0.000000   \n36          0.000000       0.000000  0.047619              0.000000   \n37          0.214286       0.023810  0.000000              0.000000   \n\n    Harbor / Marina  Health & Beauty Service  Health Food Store  \\\n0          0.000000                 0.000000           0.000000   \n1          0.000000                 0.000000           0.000000   \n2          0.000000                 0.000000           0.000000   \n3          0.000000                 0.000000           0.000000   \n4          0.066667                 0.000000           0.000000   \n5          0.000000                 0.000000           0.000000   \n6          0.000000                 0.000000           0.000000   \n7          0.000000                 0.000000           0.000000   \n8          0.000000                 0.000000           0.000000   \n9          0.000000                 0.011364           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         0.000000                 0.000000           0.000000   \n16         0.000000                 0.000000           0.000000   \n17         0.000000                 0.000000           0.000000   \n18         0.000000                 0.000000           0.000000   \n19         0.000000                 0.000000           0.000000   \n20         0.000000                 0.000000           0.021277   \n21         0.000000                 0.000000           0.000000   \n22         0.000000                 0.000000           0.000000   \n23         0.000000                 0.000000           0.000000   \n24         0.000000                 0.000000           0.000000   \n25         0.000000                 0.000000           0.000000   \n26         0.000000                 0.000000           0.000000   \n27         0.000000                 0.000000           0.000000   \n28         0.000000                 0.000000           0.000000   \n29         0.000000                 0.000000           0.000000   \n30         0.000000                 0.000000           0.000000   \n31         0.000000                 0.000000           0.000000   \n32         0.000000                 0.000000           0.000000   \n33         0.000000                 0.000000           0.000000   \n34         0.000000                 0.000000           0.000000   \n35         0.000000                 0.000000           0.200000   \n36         0.000000                 0.000000           0.000000   \n37         0.000000                 0.000000           0.000000   \n\n    Historic Site  History Museum  Hobby Shop  Hookah Bar  Hospital    Hostel  \\\n0        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n1        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n2        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n3        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n4        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n5        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n6        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n7        0.000000        0.000000    0.000000        0.00      0.01  0.000000   \n8        0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n9        0.000000        0.000000    0.011364        0.00      0.00  0.000000   \n10       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n11       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n12       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n13       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n14       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n15       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n16       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n17       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n18       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n19       0.000000        0.020000    0.000000        0.00      0.00  0.000000   \n20       0.021277        0.000000    0.000000        0.00      0.00  0.000000   \n21       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n22       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n23       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n24       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n25       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n26       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n27       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n28       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n29       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n30       0.000000        0.000000    0.000000        0.01      0.00  0.000000   \n31       0.000000        0.000000    0.000000        0.00      0.00  0.010000   \n32       0.000000        0.000000    0.000000        0.00      0.00  0.010638   \n33       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n34       0.000000        0.041667    0.000000        0.00      0.00  0.000000   \n35       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n36       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n37       0.000000        0.000000    0.000000        0.00      0.00  0.000000   \n\n       Hotel  Hotel Bar  Hotpot Restaurant  Ice Cream Shop  Indian Restaurant  \\\n0   0.030000       0.00               0.00        0.010000           0.010000   \n1   0.017544       0.00               0.00        0.000000           0.000000   \n2   0.000000       0.00               0.00        0.000000           0.000000   \n3   0.000000       0.00               0.00        0.000000           0.000000   \n4   0.000000       0.00               0.00        0.000000           0.000000   \n5   0.000000       0.00               0.00        0.000000           0.022222   \n6   0.000000       0.00               0.00        0.022989           0.022989   \n7   0.000000       0.01               0.01        0.010000           0.000000   \n8   0.000000       0.00               0.00        0.000000           0.000000   \n9   0.022727       0.00               0.00        0.011364           0.011364   \n10  0.060000       0.00               0.00        0.010000           0.000000   \n11  0.000000       0.00               0.00        0.000000           0.029412   \n12  0.142857       0.00               0.00        0.000000           0.000000   \n13  0.000000       0.00               0.00        0.000000           0.000000   \n14  0.080000       0.01               0.00        0.010000           0.000000   \n15  0.000000       0.00               0.00        0.000000           0.000000   \n16  0.040000       0.00               0.00        0.010000           0.000000   \n17  0.000000       0.00               0.00        0.000000           0.000000   \n18  0.000000       0.00               0.00        0.000000           0.000000   \n19  0.050000       0.01               0.00        0.010000           0.010000   \n20  0.021277       0.00               0.00        0.000000           0.000000   \n21  0.000000       0.00               0.00        0.000000           0.000000   \n22  0.000000       0.00               0.00        0.000000           0.000000   \n23  0.000000       0.00               0.00        0.016129           0.000000   \n24  0.000000       0.00               0.00        0.000000           0.000000   \n25  0.000000       0.00               0.00        0.000000           0.000000   \n26  0.000000       0.00               0.00        0.000000           0.000000   \n27  0.000000       0.00               0.00        0.000000           0.000000   \n28  0.000000       0.00               0.00        0.000000           0.000000   \n29  0.000000       0.00               0.00        0.000000           0.000000   \n30  0.010000       0.00               0.00        0.000000           0.000000   \n31  0.050000       0.00               0.00        0.000000           0.010000   \n32  0.031915       0.00               0.00        0.000000           0.000000   \n33  0.000000       0.00               0.00        0.026316           0.000000   \n34  0.000000       0.00               0.00        0.000000           0.041667   \n35  0.000000       0.00               0.00        0.000000           0.000000   \n36  0.000000       0.00               0.00        0.047619           0.000000   \n37  0.000000       0.00               0.00        0.071429           0.023810   \n\n    Indie Movie Theater  Intersection  Irish Pub  Italian Restaurant  \\\n0                 0.000      0.000000   0.000000            0.010000   \n1                 0.000      0.000000   0.017544            0.035088   \n2                 0.000      0.000000   0.000000            0.052632   \n3                 0.000      0.000000   0.000000            0.000000   \n4                 0.000      0.000000   0.000000            0.000000   \n5                 0.000      0.000000   0.000000            0.044444   \n6                 0.000      0.000000   0.000000            0.045977   \n7                 0.000      0.000000   0.000000            0.010000   \n8                 0.000      0.000000   0.000000            0.062500   \n9                 0.000      0.011364   0.000000            0.011364   \n10                0.000      0.000000   0.010000            0.030000   \n11                0.000      0.000000   0.000000            0.058824   \n12                0.000      0.000000   0.000000            0.000000   \n13                0.000      0.000000   0.000000            0.000000   \n14                0.000      0.000000   0.000000            0.030000   \n15                0.000      0.000000   0.000000            0.000000   \n16                0.000      0.000000   0.000000            0.010000   \n17                0.000      0.000000   0.000000            0.000000   \n18                0.000      0.000000   0.000000            0.055556   \n19                0.000      0.000000   0.000000            0.040000   \n20                0.000      0.000000   0.000000            0.021277   \n21                0.000      0.000000   0.000000            0.043478   \n22                0.000      0.000000   0.000000            0.000000   \n23                0.000      0.000000   0.000000            0.016129   \n24                0.000      0.000000   0.000000            0.000000   \n25                0.000      0.000000   0.000000            0.000000   \n26                0.000      0.000000   0.000000            0.066667   \n27                0.000      0.000000   0.000000            0.000000   \n28                0.000      0.000000   0.000000            0.000000   \n29                0.025      0.000000   0.000000            0.050000   \n30                0.000      0.000000   0.000000            0.020000   \n31                0.000      0.000000   0.000000            0.020000   \n32                0.000      0.000000   0.010638            0.031915   \n33                0.000      0.000000   0.000000            0.052632   \n34                0.000      0.000000   0.000000            0.000000   \n35                0.000      0.000000   0.000000            0.000000   \n36                0.000      0.000000   0.000000            0.047619   \n37                0.000      0.000000   0.000000            0.071429   \n\n    Japanese Restaurant  Jazz Club  Jewelry Store  Jewish Restaurant  \\\n0              0.020000   0.010000       0.000000           0.000000   \n1              0.000000   0.017544       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       0.000000           0.000000   \n5              0.022222   0.000000       0.022222           0.000000   \n6              0.022989   0.000000       0.000000           0.000000   \n7              0.010000   0.010000       0.000000           0.000000   \n8              0.000000   0.000000       0.000000           0.000000   \n9              0.068182   0.000000       0.000000           0.000000   \n10             0.020000   0.010000       0.000000           0.000000   \n11             0.029412   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             0.010000   0.000000       0.000000           0.000000   \n15             0.000000   0.000000       0.000000           0.000000   \n16             0.020000   0.000000       0.000000           0.000000   \n17             0.000000   0.000000       0.200000           0.000000   \n18             0.055556   0.000000       0.000000           0.000000   \n19             0.010000   0.000000       0.000000           0.000000   \n20             0.000000   0.000000       0.000000           0.000000   \n21             0.000000   0.000000       0.000000           0.000000   \n22             0.000000   0.000000       0.000000           0.000000   \n23             0.016129   0.000000       0.000000           0.000000   \n24             0.000000   0.000000       0.000000           0.000000   \n25             0.000000   0.000000       0.000000           0.000000   \n26             0.000000   0.000000       0.000000           0.000000   \n27             0.000000   0.000000       0.000000           0.000000   \n28             0.000000   0.000000       0.000000           0.000000   \n29             0.000000   0.000000       0.000000           0.000000   \n30             0.020000   0.000000       0.000000           0.000000   \n31             0.020000   0.010000       0.000000           0.000000   \n32             0.021277   0.010638       0.000000           0.000000   \n33             0.000000   0.000000       0.000000           0.000000   \n34             0.000000   0.000000       0.000000           0.041667   \n35             0.000000   0.000000       0.000000           0.000000   \n36             0.000000   0.000000       0.000000           0.000000   \n37             0.000000   0.000000       0.000000           0.000000   \n\n    Juice Bar  Korean Restaurant      Lake  Latin American Restaurant  \\\n0    0.010000           0.000000  0.000000                   0.010000   \n1    0.000000           0.000000  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  0.000000                   0.000000   \n5    0.000000           0.000000  0.000000                   0.000000   \n6    0.011494           0.011494  0.011494                   0.000000   \n7    0.000000           0.000000  0.000000                   0.000000   \n8    0.000000           0.000000  0.000000                   0.000000   \n9    0.011364           0.000000  0.000000                   0.000000   \n10   0.000000           0.000000  0.000000                   0.010000   \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  0.000000                   0.000000   \n16   0.000000           0.000000  0.000000                   0.000000   \n17   0.000000           0.000000  0.000000                   0.000000   \n18   0.000000           0.000000  0.000000                   0.000000   \n19   0.000000           0.000000  0.010000                   0.000000   \n20   0.000000           0.000000  0.000000                   0.000000   \n21   0.000000           0.000000  0.000000                   0.000000   \n22   0.000000           0.000000  0.250000                   0.000000   \n23   0.016129           0.016129  0.000000                   0.000000   \n24   0.000000           0.000000  0.000000                   0.000000   \n25   0.000000           0.000000  0.000000                   0.000000   \n26   0.000000           0.000000  0.000000                   0.000000   \n27   0.000000           0.000000  0.000000                   0.000000   \n28   0.000000           0.000000  0.000000                   0.000000   \n29   0.000000           0.000000  0.000000                   0.025000   \n30   0.010000           0.000000  0.010000                   0.000000   \n31   0.000000           0.010000  0.000000                   0.010000   \n32   0.000000           0.000000  0.000000                   0.000000   \n33   0.000000           0.000000  0.000000                   0.026316   \n34   0.000000           0.000000  0.000000                   0.000000   \n35   0.000000           0.000000  0.000000                   0.000000   \n36   0.000000           0.000000  0.000000                   0.000000   \n37   0.023810           0.000000  0.000000                   0.000000   \n\n    Light Rail Station  Lingerie Store  Liquor Store    Lounge  \\\n0             0.000000            0.00      0.000000  0.010000   \n1             0.000000            0.00      0.017544  0.017544   \n2             0.000000            0.00      0.000000  0.000000   \n3             0.066667            0.00      0.000000  0.000000   \n4             0.000000            0.00      0.000000  0.000000   \n5             0.000000            0.00      0.022222  0.000000   \n6             0.000000            0.00      0.000000  0.000000   \n7             0.000000            0.00      0.010000  0.000000   \n8             0.000000            0.00      0.000000  0.000000   \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            0.071429            0.00      0.071429  0.000000   \n14            0.000000            0.00      0.000000  0.010000   \n15            0.000000            0.00      0.052632  0.000000   \n16            0.000000            0.00      0.000000  0.010000   \n17            0.000000            0.00      0.000000  0.000000   \n18            0.000000            0.00      0.000000  0.000000   \n19            0.000000            0.00      0.000000  0.010000   \n20            0.000000            0.00      0.000000  0.000000   \n21            0.000000            0.00      0.000000  0.000000   \n22            0.000000            0.00      0.000000  0.000000   \n23            0.000000            0.00      0.000000  0.000000   \n24            0.000000            0.00      0.000000  0.000000   \n25            0.000000            0.00      0.000000  0.000000   \n26            0.000000            0.00      0.000000  0.000000   \n27            0.000000            0.00      0.000000  0.000000   \n28            0.000000            0.00      0.000000  0.000000   \n29            0.000000            0.00      0.000000  0.000000   \n30            0.000000            0.01      0.000000  0.010000   \n31            0.000000            0.00      0.000000  0.000000   \n32            0.000000            0.00      0.010638  0.021277   \n33            0.000000            0.00      0.000000  0.000000   \n34            0.000000            0.00      0.041667  0.000000   \n35            0.000000            0.00      0.000000  0.000000   \n36            0.000000            0.00      0.047619  0.000000   \n37            0.000000            0.00      0.023810  0.000000   \n\n    Mac & Cheese Joint  Malay Restaurant    Market  Martial Arts Dojo  \\\n0             0.000000          0.000000  0.000000               0.00   \n1             0.000000          0.000000  0.000000               0.00   \n2             0.000000          0.000000  0.000000               0.00   \n3             0.000000          0.000000  0.000000               0.00   \n4             0.000000          0.000000  0.000000               0.00   \n5             0.000000          0.000000  0.022222               0.00   \n6             0.000000          0.000000  0.000000               0.00   \n7             0.000000          0.000000  0.000000               0.01   \n8             0.000000          0.000000  0.000000               0.00   \n9             0.000000          0.000000  0.000000               0.00   \n10            0.000000          0.000000  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          0.000000  0.000000               0.00   \n14            0.000000          0.000000  0.000000               0.00   \n15            0.000000          0.000000  0.000000               0.00   \n16            0.000000          0.000000  0.000000               0.00   \n17            0.000000          0.000000  0.000000               0.00   \n18            0.000000          0.000000  0.000000               0.00   \n19            0.000000          0.000000  0.000000               0.00   \n20            0.000000          0.000000  0.000000               0.00   \n21            0.000000          0.000000  0.000000               0.00   \n22            0.000000          0.000000  0.000000               0.00   \n23            0.016129          0.016129  0.000000               0.00   \n24            0.000000          0.000000  0.000000               0.00   \n25            0.000000          0.000000  0.000000               0.00   \n26            0.000000          0.000000  0.000000               0.00   \n27            0.000000          0.000000  0.000000               0.00   \n28            0.000000          0.000000  0.000000               0.00   \n29            0.000000          0.000000  0.000000               0.00   \n30            0.000000          0.000000  0.000000               0.00   \n31            0.000000          0.000000  0.000000               0.00   \n32            0.000000          0.000000  0.000000               0.00   \n33            0.000000          0.000000  0.000000               0.00   \n34            0.000000          0.000000  0.000000               0.00   \n35            0.000000          0.000000  0.000000               0.00   \n36            0.000000          0.000000  0.000000               0.00   \n37            0.000000          0.000000  0.000000               0.00   \n\n    Massage Studio  Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n0             0.00                  0.010000     0.000000            0.000000   \n1             0.00                  0.000000     0.000000            0.000000   \n2             0.00                  0.000000     0.000000            0.000000   \n3             0.00                  0.000000     0.000000            0.000000   \n4             0.00                  0.000000     0.000000            0.000000   \n5             0.00                  0.000000     0.000000            0.000000   \n6             0.00                  0.000000     0.000000            0.000000   \n7             0.01                  0.000000     0.000000            0.040000   \n8             0.00                  0.000000     0.000000            0.000000   \n9             0.00                  0.022727     0.022727            0.011364   \n10            0.00                  0.000000     0.000000            0.000000   \n11            0.00                  0.000000     0.000000            0.000000   \n12            0.00                  0.000000     0.000000            0.000000   \n13            0.00                  0.000000     0.000000            0.000000   \n14            0.00                  0.000000     0.000000            0.000000   \n15            0.00                  0.000000     0.000000            0.000000   \n16            0.00                  0.010000     0.000000            0.000000   \n17            0.00                  0.000000     0.000000            0.000000   \n18            0.00                  0.000000     0.000000            0.000000   \n19            0.00                  0.000000     0.000000            0.000000   \n20            0.00                  0.000000     0.000000            0.042553   \n21            0.00                  0.000000     0.000000            0.086957   \n22            0.00                  0.000000     0.000000            0.000000   \n23            0.00                  0.000000     0.048387            0.000000   \n24            0.00                  0.000000     0.000000            0.000000   \n25            0.00                  0.000000     0.000000            0.055556   \n26            0.00                  0.000000     0.000000            0.000000   \n27            0.00                  0.000000     0.000000            0.000000   \n28            0.00                  0.000000     0.000000            0.000000   \n29            0.00                  0.000000     0.000000            0.000000   \n30            0.00                  0.000000     0.000000            0.010000   \n31            0.00                  0.000000     0.000000            0.000000   \n32            0.00                  0.000000     0.000000            0.000000   \n33            0.00                  0.000000     0.000000            0.000000   \n34            0.00                  0.000000     0.000000            0.000000   \n35            0.00                  0.000000     0.000000            0.000000   \n36            0.00                  0.000000     0.000000            0.000000   \n37            0.00                  0.000000     0.000000            0.000000   \n\n    Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n0                    0.000000            0.000000                    0.000000   \n1                    0.000000            0.000000                    0.000000   \n2                    0.000000            0.000000                    0.000000   \n3                    0.000000            0.000000                    0.000000   \n4                    0.000000            0.000000                    0.000000   \n5                    0.000000            0.000000                    0.000000   \n6                    0.022989            0.011494                    0.011494   \n7                    0.000000            0.000000                    0.000000   \n8                    0.000000            0.000000                    0.000000   \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                   0.052632            0.000000                    0.000000   \n16                   0.000000            0.000000                    0.000000   \n17                   0.000000            0.000000                    0.000000   \n18                   0.000000            0.000000                    0.000000   \n19                   0.000000            0.000000                    0.000000   \n20                   0.000000            0.000000                    0.000000   \n21                   0.000000            0.000000                    0.000000   \n22                   0.000000            0.000000                    0.000000   \n23                   0.000000            0.016129                    0.000000   \n24                   0.000000            0.000000                    0.000000   \n25                   0.000000            0.000000                    0.000000   \n26                   0.000000            0.000000                    0.000000   \n27                   0.000000            0.000000                    0.000000   \n28                   0.000000            0.000000                    0.000000   \n29                   0.000000            0.000000                    0.000000   \n30                   0.030000            0.010000                    0.010000   \n31                   0.010000            0.000000                    0.000000   \n32                   0.000000            0.000000                    0.000000   \n33                   0.026316            0.000000                    0.000000   \n34                   0.000000            0.000000                    0.000000   \n35                   0.000000            0.000000                    0.000000   \n36                   0.000000            0.000000                    0.000000   \n37                   0.000000            0.000000                    0.000000   \n\n    Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n0                          0.000000                 0.01       0.000000   \n1                          0.000000                 0.00       0.000000   \n2                          0.000000                 0.00       0.000000   \n3                          0.000000                 0.00       0.000000   \n4                          0.000000                 0.00       0.000000   \n5                          0.000000                 0.00       0.000000   \n6                          0.000000                 0.00       0.000000   \n7                          0.000000                 0.00       0.000000   \n8                          0.000000                 0.00       0.000000   \n9                          0.000000                 0.00       0.000000   \n10                         0.000000                 0.01       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                 0.01       0.000000   \n17                         0.000000                 0.00       0.000000   \n18                         0.000000                 0.00       0.000000   \n19                         0.000000                 0.01       0.000000   \n20                         0.000000                 0.00       0.000000   \n21                         0.000000                 0.00       0.000000   \n22                         0.000000                 0.00       0.000000   \n23                         0.000000                 0.00       0.000000   \n24                         0.000000                 0.00       0.000000   \n25                         0.000000                 0.00       0.000000   \n26                         0.000000                 0.00       0.066667   \n27                         0.000000                 0.00       0.000000   \n28                         0.000000                 0.00       0.000000   \n29                         0.000000                 0.00       0.000000   \n30                         0.000000                 0.00       0.010000   \n31                         0.000000                 0.00       0.010000   \n32                         0.010638                 0.00       0.010638   \n33                         0.000000                 0.00       0.000000   \n34                         0.000000                 0.00       0.000000   \n35                         0.000000                 0.00       0.000000   \n36                         0.000000                 0.00       0.047619   \n37                         0.000000                 0.00       0.000000   \n\n      Museum  Music Store  Music Venue  New American Restaurant  Nightclub  \\\n0   0.000000     0.000000     0.000000                 0.010000   0.000000   \n1   0.017544     0.000000     0.000000                 0.000000   0.017544   \n2   0.000000     0.000000     0.000000                 0.000000   0.000000   \n3   0.000000     0.000000     0.000000                 0.000000   0.000000   \n4   0.000000     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   0.000000     0.000000     0.000000                 0.000000   0.000000   \n8   0.000000     0.000000     0.000000                 0.000000   0.062500   \n9   0.000000     0.000000     0.000000                 0.000000   0.011364   \n10  0.010000     0.000000     0.000000                 0.010000   0.000000   \n11  0.000000     0.000000     0.000000                 0.000000   0.000000   \n12  0.000000     0.000000     0.000000                 0.000000   0.000000   \n13  0.000000     0.000000     0.000000                 0.000000   0.000000   \n14  0.010000     0.000000     0.000000                 0.010000   0.000000   \n15  0.000000     0.000000     0.052632                 0.000000   0.000000   \n16  0.010000     0.000000     0.000000                 0.010000   0.000000   \n17  0.000000     0.000000     0.000000                 0.000000   0.000000   \n18  0.000000     0.000000     0.000000                 0.000000   0.027778   \n19  0.000000     0.000000     0.020000                 0.010000   0.000000   \n20  0.000000     0.000000     0.000000                 0.000000   0.000000   \n21  0.000000     0.000000     0.043478                 0.000000   0.000000   \n22  0.000000     0.000000     0.000000                 0.000000   0.000000   \n23  0.000000     0.000000     0.016129                 0.032258   0.000000   \n24  0.000000     0.000000     0.000000                 0.000000   0.000000   \n25  0.000000     0.000000     0.000000                 0.000000   0.000000   \n26  0.000000     0.000000     0.000000                 0.000000   0.000000   \n27  0.000000     0.000000     0.000000                 0.000000   0.000000   \n28  0.000000     0.000000     0.000000                 0.000000   0.000000   \n29  0.000000     0.000000     0.000000                 0.000000   0.000000   \n30  0.000000     0.000000     0.010000                 0.000000   0.000000   \n31  0.000000     0.000000     0.000000                 0.010000   0.000000   \n32  0.010638     0.000000     0.000000                 0.000000   0.000000   \n33  0.000000     0.026316     0.000000                 0.000000   0.000000   \n34  0.000000     0.000000     0.000000                 0.000000   0.000000   \n35  0.000000     0.000000     0.000000                 0.000000   0.000000   \n36  0.000000     0.000000     0.000000                 0.000000   0.000000   \n37  0.000000     0.000000     0.000000                 0.000000   0.000000   \n\n    Noodle House    Office  Opera House  Optical Shop  Organic Grocery  \\\n0       0.010000  0.000000         0.01      0.000000             0.00   \n1       0.000000  0.000000         0.00      0.000000             0.00   \n2       0.000000  0.000000         0.00      0.000000             0.00   \n3       0.000000  0.000000         0.00      0.000000             0.00   \n4       0.000000  0.000000         0.00      0.000000             0.00   \n5       0.000000  0.000000         0.00      0.000000             0.00   \n6       0.000000  0.011494         0.00      0.000000             0.00   \n7       0.020000  0.000000         0.00      0.000000             0.01   \n8       0.000000  0.000000         0.00      0.000000             0.00   \n9       0.000000  0.000000         0.00      0.000000             0.00   \n10      0.000000  0.000000         0.00      0.000000             0.00   \n11      0.000000  0.000000         0.00      0.000000             0.00   \n12      0.000000  0.000000         0.00      0.000000             0.00   \n13      0.000000  0.000000         0.00      0.000000             0.00   \n14      0.000000  0.010000         0.00      0.000000             0.00   \n15      0.000000  0.000000         0.00      0.000000             0.00   \n16      0.010000  0.000000         0.01      0.000000             0.00   \n17      0.000000  0.000000         0.00      0.000000             0.00   \n18      0.027778  0.000000         0.00      0.000000             0.00   \n19      0.000000  0.010000         0.00      0.000000             0.00   \n20      0.000000  0.000000         0.00      0.000000             0.00   \n21      0.000000  0.000000         0.00      0.000000             0.00   \n22      0.000000  0.000000         0.00      0.000000             0.00   \n23      0.000000  0.000000         0.00      0.000000             0.00   \n24      0.000000  0.000000         0.00      0.000000             0.00   \n25      0.000000  0.000000         0.00      0.000000             0.00   \n26      0.000000  0.000000         0.00      0.000000             0.00   \n27      0.000000  0.000000         0.00      0.000000             0.00   \n28      0.000000  0.000000         0.00      0.000000             0.00   \n29      0.000000  0.000000         0.00      0.000000             0.00   \n30      0.000000  0.000000         0.00      0.000000             0.00   \n31      0.000000  0.000000         0.00      0.000000             0.00   \n32      0.000000  0.000000         0.00      0.010638             0.00   \n33      0.000000  0.000000         0.00      0.000000             0.00   \n34      0.000000  0.000000         0.00      0.000000             0.00   \n35      0.000000  0.000000         0.00      0.000000             0.00   \n36      0.000000  0.000000         0.00      0.000000             0.00   \n37      0.000000  0.000000         0.00      0.000000             0.00   \n\n    Other Great Outdoors      Park  Performing Arts Venue  Persian Restaurant  \\\n0                   0.00  0.000000               0.000000            0.000000   \n1                   0.00  0.017544               0.000000            0.000000   \n2                   0.00  0.000000               0.052632            0.000000   \n3                   0.00  0.066667               0.000000            0.000000   \n4                   0.00  0.000000               0.000000            0.000000   \n5                   0.00  0.022222               0.000000            0.000000   \n6                   0.00  0.011494               0.000000            0.000000   \n7                   0.00  0.010000               0.000000            0.000000   \n8                   0.00  0.125000               0.000000            0.000000   \n9                   0.00  0.022727               0.000000            0.011364   \n10                  0.00  0.010000               0.000000            0.000000   \n11                  0.00  0.029412               0.000000            0.000000   \n12                  0.00  0.142857               0.000000            0.000000   \n13                  0.00  0.000000               0.000000            0.000000   \n14                  0.00  0.000000               0.000000            0.000000   \n15                  0.00  0.052632               0.000000            0.000000   \n16                  0.00  0.000000               0.000000            0.000000   \n17                  0.00  0.200000               0.000000            0.000000   \n18                  0.00  0.000000               0.000000            0.000000   \n19                  0.00  0.020000               0.010000            0.000000   \n20                  0.00  0.063830               0.021277            0.000000   \n21                  0.00  0.043478               0.000000            0.000000   \n22                  0.00  0.250000               0.000000            0.000000   \n23                  0.00  0.016129               0.000000            0.000000   \n24                  0.00  0.333333               0.000000            0.000000   \n25                  0.00  0.055556               0.000000            0.000000   \n26                  0.00  0.000000               0.000000            0.000000   \n27                  0.00  0.500000               0.000000            0.000000   \n28                  0.00  0.000000               0.000000            0.000000   \n29                  0.00  0.000000               0.000000            0.000000   \n30                  0.01  0.000000               0.000000            0.000000   \n31                  0.00  0.020000               0.010000            0.000000   \n32                  0.00  0.021277               0.000000            0.000000   \n33                  0.00  0.026316               0.000000            0.000000   \n34                  0.00  0.083333               0.000000            0.000000   \n35                  0.00  0.000000               0.000000            0.000000   \n36                  0.00  0.047619               0.000000            0.000000   \n37                  0.00  0.000000               0.000000            0.000000   \n\n    Pet Store  Pharmacy  Pizza Place     Plane  Playground  Plaza  Poke Place  \\\n0    0.000000  0.000000     0.020000  0.000000    0.000000   0.01    0.000000   \n1    0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n2    0.052632  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n3    0.000000  0.000000     0.066667  0.000000    0.000000   0.00    0.000000   \n4    0.000000  0.000000     0.000000  0.066667    0.000000   0.00    0.000000   \n5    0.022222  0.044444     0.044444  0.000000    0.022222   0.00    0.000000   \n6    0.000000  0.000000     0.011494  0.000000    0.000000   0.00    0.011494   \n7    0.000000  0.010000     0.010000  0.000000    0.000000   0.00    0.000000   \n8    0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n9    0.000000  0.000000     0.011364  0.000000    0.000000   0.00    0.000000   \n10   0.000000  0.000000     0.010000  0.000000    0.000000   0.00    0.010000   \n11   0.000000  0.058824     0.088235  0.000000    0.000000   0.00    0.000000   \n12   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n13   0.000000  0.000000     0.071429  0.000000    0.000000   0.00    0.000000   \n14   0.000000  0.000000     0.020000  0.000000    0.000000   0.00    0.000000   \n15   0.000000  0.105263     0.000000  0.000000    0.000000   0.00    0.000000   \n16   0.000000  0.000000     0.020000  0.000000    0.000000   0.01    0.000000   \n17   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n18   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n19   0.000000  0.000000     0.030000  0.000000    0.000000   0.01    0.000000   \n20   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n21   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n22   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n23   0.000000  0.000000     0.032258  0.000000    0.000000   0.00    0.000000   \n24   0.000000  0.000000     0.000000  0.000000    0.333333   0.00    0.000000   \n25   0.055556  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n26   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n27   0.000000  0.000000     0.000000  0.000000    0.250000   0.00    0.000000   \n28   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n29   0.000000  0.025000     0.075000  0.000000    0.000000   0.00    0.000000   \n30   0.000000  0.000000     0.020000  0.000000    0.000000   0.01    0.000000   \n31   0.000000  0.000000     0.020000  0.000000    0.000000   0.00    0.010000   \n32   0.000000  0.000000     0.010638  0.000000    0.000000   0.00    0.010638   \n33   0.000000  0.000000     0.026316  0.000000    0.000000   0.00    0.000000   \n34   0.000000  0.041667     0.083333  0.000000    0.000000   0.00    0.000000   \n35   0.000000  0.000000     0.000000  0.000000    0.000000   0.00    0.000000   \n36   0.047619  0.000000     0.047619  0.000000    0.000000   0.00    0.000000   \n37   0.000000  0.000000     0.023810  0.000000    0.000000   0.00    0.000000   \n\n        Pool  Portuguese Restaurant  Poutine Place       Pub  \\\n0   0.000000               0.000000       0.000000  0.000000   \n1   0.000000               0.000000       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       0.000000  0.000000   \n5   0.000000               0.000000       0.000000  0.044444   \n6   0.000000               0.011494       0.000000  0.000000   \n7   0.000000               0.000000       0.010000  0.000000   \n8   0.000000               0.000000       0.000000  0.000000   \n9   0.000000               0.000000       0.000000  0.022727   \n10  0.000000               0.000000       0.000000  0.010000   \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  0.142857   \n14  0.000000               0.000000       0.000000  0.010000   \n15  0.052632               0.000000       0.000000  0.000000   \n16  0.000000               0.000000       0.000000  0.010000   \n17  0.000000               0.000000       0.000000  0.000000   \n18  0.000000               0.000000       0.027778  0.027778   \n19  0.000000               0.000000       0.000000  0.000000   \n20  0.000000               0.000000       0.000000  0.042553   \n21  0.000000               0.000000       0.000000  0.000000   \n22  0.000000               0.000000       0.000000  0.000000   \n23  0.000000               0.000000       0.000000  0.000000   \n24  0.000000               0.000000       0.000000  0.000000   \n25  0.000000               0.000000       0.000000  0.000000   \n26  0.000000               0.000000       0.000000  0.000000   \n27  0.000000               0.000000       0.000000  0.000000   \n28  0.000000               0.000000       0.000000  0.000000   \n29  0.000000               0.000000       0.000000  0.025000   \n30  0.000000               0.000000       0.010000  0.010000   \n31  0.000000               0.000000       0.000000  0.000000   \n32  0.000000               0.000000       0.000000  0.010638   \n33  0.000000               0.000000       0.000000  0.000000   \n34  0.000000               0.000000       0.000000  0.041667   \n35  0.000000               0.000000       0.000000  0.200000   \n36  0.000000               0.000000       0.000000  0.047619   \n37  0.000000               0.000000       0.000000  0.023810   \n\n    Ramen Restaurant  Record Shop  Rental Car Location  Restaurant  Sake Bar  \\\n0           0.000000     0.010000             0.000000    0.020000  0.000000   \n1           0.000000     0.000000             0.000000    0.035088  0.000000   \n2           0.000000     0.000000             0.000000    0.052632  0.000000   \n3           0.000000     0.000000             0.000000    0.066667  0.000000   \n4           0.000000     0.000000             0.000000    0.000000  0.000000   \n5           0.000000     0.000000             0.000000    0.066667  0.000000   \n6           0.011494     0.000000             0.000000    0.011494  0.000000   \n7           0.010000     0.020000             0.000000    0.000000  0.000000   \n8           0.000000     0.000000             0.000000    0.062500  0.000000   \n9           0.011364     0.000000             0.000000    0.034091  0.011364   \n10          0.000000     0.000000             0.000000    0.050000  0.000000   \n11          0.000000     0.000000             0.000000    0.029412  0.000000   \n12          0.000000     0.000000             0.000000    0.000000  0.000000   \n13          0.000000     0.000000             0.000000    0.000000  0.000000   \n14          0.000000     0.000000             0.000000    0.050000  0.000000   \n15          0.000000     0.000000             0.000000    0.000000  0.000000   \n16          0.000000     0.000000             0.000000    0.030000  0.000000   \n17          0.000000     0.000000             0.000000    0.000000  0.000000   \n18          0.000000     0.000000             0.000000    0.055556  0.000000   \n19          0.000000     0.000000             0.000000    0.030000  0.000000   \n20          0.000000     0.000000             0.000000    0.042553  0.000000   \n21          0.000000     0.000000             0.000000    0.000000  0.000000   \n22          0.000000     0.000000             0.000000    0.000000  0.000000   \n23          0.000000     0.016129             0.000000    0.032258  0.000000   \n24          0.000000     0.000000             0.000000    0.000000  0.000000   \n25          0.000000     0.000000             0.055556    0.000000  0.000000   \n26          0.000000     0.000000             0.000000    0.066667  0.000000   \n27          0.000000     0.000000             0.000000    0.000000  0.000000   \n28          0.000000     0.000000             0.000000    0.000000  0.000000   \n29          0.000000     0.000000             0.000000    0.025000  0.000000   \n30          0.020000     0.000000             0.000000    0.020000  0.000000   \n31          0.000000     0.000000             0.000000    0.050000  0.000000   \n32          0.000000     0.000000             0.000000    0.042553  0.000000   \n33          0.000000     0.000000             0.000000    0.000000  0.000000   \n34          0.000000     0.000000             0.000000    0.000000  0.000000   \n35          0.000000     0.000000             0.000000    0.000000  0.000000   \n36          0.000000     0.000000             0.000000    0.000000  0.000000   \n37          0.000000     0.000000             0.000000    0.023810  0.000000   \n\n    Salad Place  Salon / Barbershop  Sandwich Place  Scenic Lookout  \\\n0      0.020000            0.010000        0.000000            0.00   \n1      0.000000            0.000000        0.000000            0.00   \n2      0.000000            0.000000        0.000000            0.00   \n3      0.000000            0.000000        0.000000            0.00   \n4      0.000000            0.000000        0.000000            0.00   \n5      0.000000            0.000000        0.022222            0.00   \n6      0.022989            0.000000        0.022989            0.00   \n7      0.000000            0.000000        0.010000            0.00   \n8      0.000000            0.000000        0.000000            0.00   \n9      0.000000            0.011364        0.000000            0.00   \n10     0.020000            0.000000        0.010000            0.00   \n11     0.000000            0.000000        0.088235            0.00   \n12     0.000000            0.000000        0.142857            0.00   \n13     0.000000            0.000000        0.000000            0.00   \n14     0.010000            0.000000        0.010000            0.00   \n15     0.000000            0.000000        0.000000            0.00   \n16     0.010000            0.000000        0.010000            0.00   \n17     0.000000            0.000000        0.000000            0.00   \n18     0.000000            0.000000        0.027778            0.00   \n19     0.010000            0.000000        0.010000            0.03   \n20     0.000000            0.000000        0.000000            0.00   \n21     0.000000            0.000000        0.000000            0.00   \n22     0.000000            0.000000        0.000000            0.00   \n23     0.000000            0.016129        0.000000            0.00   \n24     0.000000            0.000000        0.000000            0.00   \n25     0.000000            0.055556        0.000000            0.00   \n26     0.000000            0.000000        0.000000            0.00   \n27     0.000000            0.000000        0.000000            0.00   \n28     0.000000            0.000000        0.000000            0.00   \n29     0.000000            0.000000        0.025000            0.00   \n30     0.000000            0.000000        0.010000            0.00   \n31     0.010000            0.000000        0.000000            0.00   \n32     0.010638            0.000000        0.010638            0.00   \n33     0.000000            0.000000        0.026316            0.00   \n34     0.000000            0.000000        0.125000            0.00   \n35     0.000000            0.000000        0.000000            0.00   \n36     0.000000            0.000000        0.095238            0.00   \n37     0.000000            0.000000        0.000000            0.00   \n\n    Sculpture Garden  Seafood Restaurant  Shoe Store  Shopping Mall  \\\n0           0.000000            0.010000    0.000000       0.010000   \n1           0.000000            0.035088    0.000000       0.017544   \n2           0.000000            0.000000    0.000000       0.000000   \n3           0.000000            0.000000    0.000000       0.000000   \n4           0.066667            0.000000    0.000000       0.000000   \n5           0.000000            0.000000    0.000000       0.000000   \n6           0.000000            0.011494    0.000000       0.000000   \n7           0.000000            0.000000    0.000000       0.000000   \n8           0.000000            0.000000    0.000000       0.000000   \n9           0.011364            0.011364    0.000000       0.000000   \n10          0.000000            0.030000    0.000000       0.010000   \n11          0.000000            0.029412    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            0.030000    0.000000       0.010000   \n15          0.000000            0.000000    0.000000       0.000000   \n16          0.000000            0.030000    0.000000       0.000000   \n17          0.000000            0.000000    0.000000       0.000000   \n18          0.000000            0.000000    0.000000       0.000000   \n19          0.000000            0.010000    0.000000       0.000000   \n20          0.000000            0.000000    0.021277       0.000000   \n21          0.000000            0.000000    0.000000       0.000000   \n22          0.000000            0.000000    0.000000       0.000000   \n23          0.000000            0.000000    0.000000       0.000000   \n24          0.000000            0.000000    0.000000       0.000000   \n25          0.000000            0.000000    0.000000       0.000000   \n26          0.000000            0.000000    0.000000       0.000000   \n27          0.000000            0.000000    0.000000       0.000000   \n28          0.000000            0.000000    0.000000       0.000000   \n29          0.000000            0.000000    0.000000       0.000000   \n30          0.000000            0.010000    0.010000       0.010000   \n31          0.000000            0.020000    0.000000       0.010000   \n32          0.000000            0.031915    0.000000       0.010638   \n33          0.000000            0.026316    0.000000       0.000000   \n34          0.000000            0.000000    0.000000       0.000000   \n35          0.000000            0.000000    0.000000       0.000000   \n36          0.000000            0.000000    0.000000       0.000000   \n37          0.000000            0.000000    0.000000       0.000000   \n\n    Skate Park  Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  \\\n0     0.000000          0.00    0.010000       0.000000     0.000000   \n1     0.000000          0.00    0.000000       0.000000     0.000000   \n2     0.000000          0.00    0.000000       0.000000     0.000000   \n3     0.066667          0.00    0.066667       0.000000     0.000000   \n4     0.000000          0.00    0.000000       0.000000     0.000000   \n5     0.000000          0.00    0.000000       0.000000     0.022222   \n6     0.000000          0.00    0.000000       0.011494     0.000000   \n7     0.000000          0.00    0.000000       0.010000     0.010000   \n8     0.000000          0.00    0.000000       0.000000     0.000000   \n9     0.000000          0.00    0.011364       0.000000     0.000000   \n10    0.000000          0.00    0.000000       0.000000     0.000000   \n11    0.000000          0.00    0.000000       0.000000     0.000000   \n12    0.000000          0.00    0.000000       0.000000     0.000000   \n13    0.000000          0.00    0.000000       0.000000     0.000000   \n14    0.000000          0.00    0.000000       0.000000     0.000000   \n15    0.000000          0.00    0.000000       0.000000     0.000000   \n16    0.000000          0.00    0.000000       0.000000     0.000000   \n17    0.000000          0.00    0.000000       0.000000     0.000000   \n18    0.000000          0.00    0.000000       0.000000     0.000000   \n19    0.000000          0.01    0.000000       0.010000     0.000000   \n20    0.000000          0.00    0.000000       0.000000     0.000000   \n21    0.000000          0.00    0.000000       0.000000     0.000000   \n22    0.000000          0.00    0.000000       0.000000     0.000000   \n23    0.000000          0.00    0.000000       0.000000     0.000000   \n24    0.000000          0.00    0.000000       0.000000     0.000000   \n25    0.000000          0.00    0.000000       0.000000     0.000000   \n26    0.000000          0.00    0.000000       0.000000     0.000000   \n27    0.000000          0.00    0.000000       0.000000     0.000000   \n28    0.000000          0.00    0.000000       0.000000     0.000000   \n29    0.000000          0.00    0.000000       0.025000     0.000000   \n30    0.000000          0.00    0.010000       0.000000     0.000000   \n31    0.000000          0.00    0.000000       0.010000     0.000000   \n32    0.000000          0.00    0.000000       0.000000     0.000000   \n33    0.000000          0.00    0.000000       0.000000     0.000000   \n34    0.000000          0.00    0.000000       0.000000     0.000000   \n35    0.000000          0.00    0.000000       0.000000     0.000000   \n36    0.000000          0.00    0.000000       0.000000     0.000000   \n37    0.000000          0.00    0.000000       0.000000     0.000000   \n\n    Soup Place  Southern / Soul Food Restaurant       Spa  Speakeasy  \\\n0     0.000000                         0.000000  0.000000   0.010000   \n1     0.000000                         0.000000  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  0.000000   0.000000   \n5     0.000000                         0.000000  0.000000   0.000000   \n6     0.000000                         0.000000  0.022989   0.000000   \n7     0.000000                         0.000000  0.000000   0.000000   \n8     0.000000                         0.000000  0.000000   0.000000   \n9     0.000000                         0.000000  0.000000   0.000000   \n10    0.010000                         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    0.010000                         0.000000  0.010000   0.010000   \n15    0.000000                         0.000000  0.000000   0.000000   \n16    0.010000                         0.000000  0.000000   0.010000   \n17    0.000000                         0.000000  0.000000   0.000000   \n18    0.000000                         0.000000  0.000000   0.000000   \n19    0.000000                         0.000000  0.000000   0.000000   \n20    0.000000                         0.000000  0.021277   0.000000   \n21    0.000000                         0.000000  0.000000   0.043478   \n22    0.000000                         0.000000  0.000000   0.000000   \n23    0.000000                         0.016129  0.000000   0.000000   \n24    0.000000                         0.000000  0.000000   0.000000   \n25    0.000000                         0.000000  0.055556   0.000000   \n26    0.000000                         0.000000  0.000000   0.000000   \n27    0.000000                         0.000000  0.000000   0.000000   \n28    0.000000                         0.000000  0.000000   0.000000   \n29    0.000000                         0.000000  0.025000   0.000000   \n30    0.000000                         0.000000  0.010000   0.000000   \n31    0.000000                         0.000000  0.010000   0.010000   \n32    0.010638                         0.000000  0.000000   0.000000   \n33    0.000000                         0.000000  0.000000   0.000000   \n34    0.000000                         0.000000  0.000000   0.000000   \n35    0.000000                         0.000000  0.000000   0.000000   \n36    0.000000                         0.000000  0.000000   0.000000   \n37    0.000000                         0.000000  0.023810   0.000000   \n\n    Sporting Goods Shop  Sports Bar   Stadium  Stationery Store  Steakhouse  \\\n0              0.000000    0.000000  0.000000          0.000000    0.040000   \n1              0.000000    0.000000  0.000000          0.000000    0.035088   \n2              0.000000    0.000000  0.052632          0.000000    0.000000   \n3              0.000000    0.000000  0.000000          0.000000    0.000000   \n4              0.000000    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    0.011494   \n7              0.000000    0.000000  0.000000          0.000000    0.000000   \n8              0.000000    0.000000  0.000000          0.000000    0.000000   \n9              0.000000    0.011364  0.000000          0.000000    0.011364   \n10             0.000000    0.000000  0.000000          0.000000    0.030000   \n11             0.000000    0.000000  0.000000          0.000000    0.000000   \n12             0.000000    0.000000  0.000000          0.000000    0.000000   \n13             0.000000    0.071429  0.000000          0.000000    0.000000   \n14             0.010000    0.010000  0.000000          0.000000    0.030000   \n15             0.000000    0.000000  0.000000          0.000000    0.000000   \n16             0.000000    0.000000  0.000000          0.000000    0.030000   \n17             0.000000    0.000000  0.000000          0.000000    0.000000   \n18             0.000000    0.000000  0.000000          0.000000    0.000000   \n19             0.020000    0.020000  0.000000          0.000000    0.010000   \n20             0.000000    0.000000  0.000000          0.000000    0.000000   \n21             0.000000    0.000000  0.000000          0.000000    0.000000   \n22             0.000000    0.000000  0.000000          0.000000    0.000000   \n23             0.000000    0.016129  0.000000          0.000000    0.000000   \n24             0.000000    0.000000  0.000000          0.000000    0.000000   \n25             0.055556    0.000000  0.000000          0.000000    0.000000   \n26             0.000000    0.000000  0.000000          0.000000    0.000000   \n27             0.000000    0.000000  0.000000          0.000000    0.000000   \n28             0.000000    0.000000  0.000000          0.000000    0.000000   \n29             0.000000    0.000000  0.000000          0.000000    0.000000   \n30             0.020000    0.000000  0.000000          0.000000    0.010000   \n31             0.000000    0.000000  0.000000          0.000000    0.000000   \n32             0.000000    0.000000  0.000000          0.000000    0.010638   \n33             0.000000    0.000000  0.000000          0.026316    0.000000   \n34             0.000000    0.000000  0.000000          0.000000    0.000000   \n35             0.000000    0.000000  0.000000          0.000000    0.000000   \n36             0.000000    0.000000  0.000000          0.000000    0.047619   \n37             0.000000    0.000000  0.000000          0.000000    0.000000   \n\n    Strip Club  Supermarket  Sushi Restaurant  Swim School  Taco Place  \\\n0     0.000000     0.000000          0.020000         0.00        0.00   \n1     0.000000     0.000000          0.000000         0.00        0.00   \n2     0.000000     0.000000          0.000000         0.00        0.00   \n3     0.000000     0.000000          0.000000         0.00        0.00   \n4     0.000000     0.000000          0.000000         0.00        0.00   \n5     0.000000     0.000000          0.000000         0.00        0.00   \n6     0.000000     0.000000          0.022989         0.00        0.00   \n7     0.000000     0.000000          0.000000         0.00        0.01   \n8     0.000000     0.000000          0.000000         0.00        0.00   \n9     0.011364     0.000000          0.056818         0.00        0.00   \n10    0.000000     0.000000          0.000000         0.00        0.00   \n11    0.000000     0.000000          0.058824         0.00        0.00   \n12    0.000000     0.000000          0.000000         0.00        0.00   \n13    0.000000     0.071429          0.071429         0.00        0.00   \n14    0.000000     0.000000          0.000000         0.00        0.00   \n15    0.000000     0.105263          0.000000         0.00        0.00   \n16    0.000000     0.000000          0.010000         0.00        0.00   \n17    0.000000     0.000000          0.200000         0.00        0.00   \n18    0.000000     0.000000          0.027778         0.00        0.00   \n19    0.000000     0.010000          0.010000         0.00        0.00   \n20    0.000000     0.000000          0.000000         0.00        0.00   \n21    0.000000     0.000000          0.000000         0.00        0.00   \n22    0.000000     0.000000          0.000000         0.25        0.00   \n23    0.000000     0.000000          0.000000         0.00        0.00   \n24    0.000000     0.000000          0.000000         0.00        0.00   \n25    0.000000     0.000000          0.000000         0.00        0.00   \n26    0.000000     0.000000          0.000000         0.00        0.00   \n27    0.000000     0.000000          0.000000         0.00        0.00   \n28    0.000000     0.000000          0.000000         0.00        0.00   \n29    0.000000     0.000000          0.050000         0.00        0.00   \n30    0.000000     0.000000          0.010000         0.00        0.01   \n31    0.000000     0.000000          0.000000         0.00        0.00   \n32    0.000000     0.000000          0.000000         0.00        0.00   \n33    0.000000     0.000000          0.000000         0.00        0.00   \n34    0.000000     0.000000          0.000000         0.00        0.00   \n35    0.000000     0.000000          0.000000         0.00        0.00   \n36    0.000000     0.000000          0.047619         0.00        0.00   \n37    0.000000     0.000000          0.000000         0.00        0.00   \n\n    Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tapas Restaurant  \\\n0      0.000000              0.000000           0.00          0.000000   \n1      0.017544              0.000000           0.00          0.000000   \n2      0.000000              0.000000           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              0.022222           0.00          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          0.000000   \n9      0.000000              0.000000           0.00          0.000000   \n10     0.010000              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              0.000000           0.00          0.000000   \n15     0.000000              0.000000           0.00          0.000000   \n16     0.000000              0.000000           0.00          0.000000   \n17     0.000000              0.000000           0.00          0.000000   \n18     0.000000              0.000000           0.00          0.000000   \n19     0.000000              0.000000           0.00          0.000000   \n20     0.000000              0.000000           0.00          0.000000   \n21     0.000000              0.000000           0.00          0.000000   \n22     0.000000              0.000000           0.00          0.000000   \n23     0.000000              0.000000           0.00          0.016129   \n24     0.000000              0.000000           0.00          0.000000   \n25     0.000000              0.000000           0.00          0.000000   \n26     0.000000              0.000000           0.00          0.000000   \n27     0.000000              0.000000           0.00          0.000000   \n28     0.000000              0.000000           0.00          0.000000   \n29     0.000000              0.000000           0.00          0.000000   \n30     0.000000              0.000000           0.01          0.000000   \n31     0.010000              0.000000           0.00          0.000000   \n32     0.010638              0.000000           0.00          0.000000   \n33     0.000000              0.000000           0.00          0.000000   \n34     0.000000              0.000000           0.00          0.000000   \n35     0.000000              0.000000           0.00          0.000000   \n36     0.000000              0.000000           0.00          0.000000   \n37     0.000000              0.000000           0.00          0.000000   \n\n    Tea Room  Tennis Court  Thai Restaurant   Theater  Theme Restaurant  \\\n0   0.000000      0.000000         0.040000  0.010000          0.000000   \n1   0.017544      0.000000         0.017544  0.000000          0.000000   \n2   0.000000      0.000000         0.000000  0.000000          0.000000   \n3   0.000000      0.000000         0.000000  0.000000          0.000000   \n4   0.000000      0.000000         0.000000  0.000000          0.000000   \n5   0.000000      0.000000         0.022222  0.000000          0.000000   \n6   0.011494      0.000000         0.011494  0.000000          0.000000   \n7   0.010000      0.000000         0.000000  0.000000          0.000000   \n8   0.000000      0.000000         0.000000  0.000000          0.000000   \n9   0.011364      0.000000         0.000000  0.011364          0.011364   \n10  0.020000      0.000000         0.020000  0.000000          0.000000   \n11  0.000000      0.000000         0.029412  0.000000          0.000000   \n12  0.000000      0.000000         0.000000  0.000000          0.000000   \n13  0.000000      0.000000         0.000000  0.000000          0.000000   \n14  0.020000      0.000000         0.000000  0.010000          0.000000   \n15  0.000000      0.000000         0.000000  0.000000          0.000000   \n16  0.020000      0.000000         0.020000  0.010000          0.000000   \n17  0.000000      0.000000         0.000000  0.000000          0.000000   \n18  0.000000      0.000000         0.000000  0.027778          0.000000   \n19  0.010000      0.000000         0.000000  0.010000          0.000000   \n20  0.000000      0.000000         0.000000  0.042553          0.000000   \n21  0.000000      0.000000         0.043478  0.000000          0.000000   \n22  0.000000      0.000000         0.000000  0.000000          0.000000   \n23  0.000000      0.000000         0.000000  0.016129          0.000000   \n24  0.000000      0.333333         0.000000  0.000000          0.000000   \n25  0.000000      0.000000         0.000000  0.000000          0.000000   \n26  0.000000      0.000000         0.000000  0.000000          0.000000   \n27  0.000000      0.000000         0.000000  0.000000          0.000000   \n28  0.000000      0.000000         0.000000  0.000000          0.000000   \n29  0.025000      0.000000         0.000000  0.000000          0.000000   \n30  0.020000      0.000000         0.010000  0.020000          0.000000   \n31  0.000000      0.000000         0.010000  0.010000          0.000000   \n32  0.010638      0.000000         0.010638  0.000000          0.000000   \n33  0.000000      0.000000         0.000000  0.000000          0.000000   \n34  0.000000      0.000000         0.000000  0.000000          0.000000   \n35  0.000000      0.000000         0.000000  0.000000          0.000000   \n36  0.000000      0.000000         0.000000  0.000000          0.000000   \n37  0.000000      0.000000         0.000000  0.000000          0.000000   \n\n    Thrift / Vintage Store  Toy / Game Store    Trail  Train Station  \\\n0                     0.00          0.000000  0.00000           0.00   \n1                     0.00          0.000000  0.00000           0.00   \n2                     0.00          0.000000  0.00000           0.00   \n3                     0.00          0.000000  0.00000           0.00   \n4                     0.00          0.000000  0.00000           0.00   \n5                     0.00          0.000000  0.00000           0.00   \n6                     0.00          0.000000  0.00000           0.00   \n7                     0.01          0.010000  0.00000           0.00   \n8                     0.00          0.000000  0.00000           0.00   \n9                     0.00          0.000000  0.00000           0.00   \n10                    0.00          0.000000  0.00000           0.00   \n11                    0.00          0.029412  0.00000           0.00   \n12                    0.00          0.000000  0.00000           0.00   \n13                    0.00          0.000000  0.00000           0.00   \n14                    0.00          0.000000  0.00000           0.01   \n15                    0.00          0.000000  0.00000           0.00   \n16                    0.00          0.000000  0.00000           0.01   \n17                    0.00          0.000000  0.20000           0.00   \n18                    0.00          0.000000  0.00000           0.00   \n19                    0.00          0.000000  0.00000           0.01   \n20                    0.00          0.000000  0.00000           0.00   \n21                    0.00          0.000000  0.00000           0.00   \n22                    0.00          0.000000  0.00000           0.00   \n23                    0.00          0.000000  0.00000           0.00   \n24                    0.00          0.000000  0.00000           0.00   \n25                    0.00          0.000000  0.00000           0.00   \n26                    0.00          0.000000  0.00000           0.00   \n27                    0.00          0.000000  0.25000           0.00   \n28                    0.00          0.000000  0.00000           0.00   \n29                    0.00          0.000000  0.00000           0.00   \n30                    0.00          0.010000  0.00000           0.00   \n31                    0.00          0.000000  0.00000           0.00   \n32                    0.00          0.000000  0.00000           0.00   \n33                    0.00          0.000000  0.00000           0.00   \n34                    0.00          0.000000  0.00000           0.00   \n35                    0.00          0.000000  0.00000           0.00   \n36                    0.00          0.000000  0.00000           0.00   \n37                    0.00          0.000000  0.02381           0.00   \n\n    Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n0                        0.010000          0.000000               0.000000   \n1                        0.017544          0.000000               0.000000   \n2                        0.000000          0.000000               0.000000   \n3                        0.000000          0.000000               0.000000   \n4                        0.000000          0.000000               0.000000   \n5                        0.000000          0.000000               0.000000   \n6                        0.011494          0.000000               0.000000   \n7                        0.060000          0.000000               0.030000   \n8                        0.000000          0.000000               0.000000   \n9                        0.000000          0.011364               0.011364   \n10                       0.010000          0.000000               0.000000   \n11                       0.000000          0.000000               0.000000   \n12                       0.000000          0.000000               0.000000   \n13                       0.000000          0.000000               0.071429   \n14                       0.010000          0.000000               0.000000   \n15                       0.000000          0.000000               0.000000   \n16                       0.010000          0.000000               0.000000   \n17                       0.000000          0.000000               0.000000   \n18                       0.000000          0.027778               0.000000   \n19                       0.010000          0.000000               0.000000   \n20                       0.000000          0.000000               0.000000   \n21                       0.000000          0.000000               0.000000   \n22                       0.000000          0.000000               0.000000   \n23                       0.016129          0.000000               0.032258   \n24                       0.000000          0.000000               0.000000   \n25                       0.000000          0.000000               0.000000   \n26                       0.000000          0.000000               0.000000   \n27                       0.000000          0.000000               0.000000   \n28                       0.000000          0.000000               0.000000   \n29                       0.025000          0.000000               0.000000   \n30                       0.010000          0.010000               0.010000   \n31                       0.010000          0.000000               0.000000   \n32                       0.010638          0.000000               0.000000   \n33                       0.000000          0.000000               0.000000   \n34                       0.041667          0.000000               0.000000   \n35                       0.000000          0.000000               0.000000   \n36                       0.000000          0.000000               0.000000   \n37                       0.000000          0.000000               0.000000   \n\n    Wine Bar  Wine Shop  Wings Joint  Women's Store  \n0   0.010000   0.000000     0.000000           0.00  \n1   0.000000   0.000000     0.000000           0.00  \n2   0.000000   0.000000     0.000000           0.00  \n3   0.000000   0.000000     0.000000           0.00  \n4   0.000000   0.000000     0.000000           0.00  \n5   0.000000   0.000000     0.000000           0.00  \n6   0.011494   0.000000     0.000000           0.00  \n7   0.010000   0.000000     0.000000           0.00  \n8   0.000000   0.000000     0.000000           0.00  \n9   0.000000   0.000000     0.011364           0.00  \n10  0.010000   0.000000     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   0.000000     0.000000           0.00  \n14  0.010000   0.000000     0.000000           0.00  \n15  0.000000   0.052632     0.000000           0.00  \n16  0.010000   0.000000     0.000000           0.00  \n17  0.000000   0.000000     0.000000           0.00  \n18  0.000000   0.000000     0.000000           0.00  \n19  0.010000   0.000000     0.000000           0.00  \n20  0.000000   0.000000     0.000000           0.00  \n21  0.000000   0.000000     0.000000           0.00  \n22  0.000000   0.000000     0.000000           0.00  \n23  0.016129   0.000000     0.000000           0.00  \n24  0.000000   0.000000     0.000000           0.00  \n25  0.000000   0.000000     0.000000           0.00  \n26  0.000000   0.000000     0.000000           0.00  \n27  0.000000   0.000000     0.000000           0.00  \n28  0.000000   0.000000     0.000000           0.00  \n29  0.000000   0.000000     0.000000           0.00  \n30  0.010000   0.000000     0.000000           0.00  \n31  0.000000   0.000000     0.000000           0.01  \n32  0.000000   0.000000     0.000000           0.00  \n33  0.000000   0.000000     0.000000           0.00  \n34  0.000000   0.000000     0.000000           0.00  \n35  0.000000   0.000000     0.000000           0.00  \n36  0.000000   0.000000     0.000000           0.00  \n37  0.000000   0.000000     0.000000           0.00  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# Grouping Toronto one hot encoding and get it's mean\nTorontoOneHotGrouped = TorontoOneHot.groupby('Neighborhood').mean().reset_index()\nTorontoOneHotGrouped"
        }, 
        {
            "source": "### Get top 5 venues in each area", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 34, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "----Adelaide,King,Richmond----\n                 venue  freq\n0          Coffee Shop  0.06\n1                 Caf\u00e9  0.05\n2  American Restaurant  0.04\n3                  Bar  0.04\n4      Thai Restaurant  0.04\n\n\n----Berczy Park----\n          venue  freq\n0   Coffee Shop  0.09\n1  Cocktail Bar  0.05\n2          Caf\u00e9  0.04\n3      Beer Bar  0.04\n4   Cheese Shop  0.04\n\n\n----Brockton,Exhibition Place,Parkdale Village----\n                    venue  freq\n0          Breakfast Spot  0.11\n1                    Caf\u00e9  0.11\n2             Coffee Shop  0.11\n3      Italian Restaurant  0.05\n4  Furniture / Home Store  0.05\n\n\n----Business Reply Mail Processing Centre 969 Eastern----\n                venue  freq\n0          Skate Park  0.07\n1             Brewery  0.07\n2              Garden  0.07\n3  Light Rail Station  0.07\n4             Butcher  0.07\n\n\n----CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara----\n              venue  freq\n0   Airport Service  0.20\n1    Airport Lounge  0.13\n2  Airport Terminal  0.13\n3  Sculpture Garden  0.07\n4             Plane  0.07\n\n\n----Cabbagetown,St. James Town----\n         venue  freq\n0  Coffee Shop  0.09\n1   Restaurant  0.07\n2          Pub  0.04\n3       Bakery  0.04\n4     Pharmacy  0.04\n\n\n----Central Bay Street----\n                venue  freq\n0         Coffee Shop  0.16\n1                Caf\u00e9  0.06\n2  Italian Restaurant  0.05\n3        Burger Joint  0.03\n4     Bubble Tea Shop  0.02\n\n\n----Chinatown,Grange Park,Kensington Market----\n                           venue  freq\n0                           Caf\u00e9  0.08\n1  Vegetarian / Vegan Restaurant  0.06\n2                    Coffee Shop  0.04\n3             Mexican Restaurant  0.04\n4            Dumpling Restaurant  0.04\n\n\n----Christie----\n                venue  freq\n0                Caf\u00e9  0.19\n1       Grocery Store  0.19\n2                Park  0.12\n3           Nightclub  0.06\n4  Athletics & Sports  0.06\n\n\n----Church and Wellesley----\n                 venue  freq\n0  Japanese Restaurant  0.07\n1          Coffee Shop  0.07\n2     Sushi Restaurant  0.06\n3              Gay Bar  0.03\n4           Restaurant  0.03\n\n\n----Commerce Court,Victoria Hotel----\n                 venue  freq\n0          Coffee Shop  0.11\n1                 Caf\u00e9  0.07\n2                Hotel  0.06\n3           Restaurant  0.05\n4  American Restaurant  0.04\n\n\n----Davisville----\n            venue  freq\n0    Dessert Shop  0.09\n1     Pizza Place  0.09\n2  Sandwich Place  0.09\n3        Pharmacy  0.06\n4            Caf\u00e9  0.06\n\n\n----Davisville North----\n               venue  freq\n0     Clothing Store  0.14\n1              Hotel  0.14\n2                Gym  0.14\n3  Food & Drink Shop  0.14\n4               Park  0.14\n\n\n----Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West----\n                 venue  freq\n0          Coffee Shop  0.14\n1                  Pub  0.14\n2  American Restaurant  0.07\n3     Sushi Restaurant  0.07\n4          Supermarket  0.07\n\n\n----Design Exchange,Toronto Dominion Centre----\n                 venue  freq\n0          Coffee Shop  0.12\n1                Hotel  0.08\n2                 Caf\u00e9  0.07\n3           Restaurant  0.05\n4  American Restaurant  0.03\n\n\n----Dovercourt Village,Dufferin----\n            venue  freq\n0        Pharmacy  0.11\n1     Supermarket  0.11\n2          Bakery  0.11\n3            Pool  0.05\n4  Discount Store  0.05\n\n\n----First Canadian Place,Underground city----\n                 venue  freq\n0                 Caf\u00e9  0.09\n1          Coffee Shop  0.09\n2                Hotel  0.04\n3         Burger Joint  0.03\n4  American Restaurant  0.03\n\n\n----Forest Hill North,Forest Hill West----\n              venue  freq\n0     Jewelry Store   0.2\n1             Trail   0.2\n2          Bus Line   0.2\n3              Park   0.2\n4  Sushi Restaurant   0.2\n\n\n----Harbord,University of Toronto----\n                venue  freq\n0                Caf\u00e9  0.14\n1           Bookstore  0.08\n2  Italian Restaurant  0.06\n3          Restaurant  0.06\n4              Bakery  0.06\n\n\n----Harbourfront East,Toronto Islands,Union Station----\n                venue  freq\n0         Coffee Shop  0.12\n1               Hotel  0.05\n2            Aquarium  0.05\n3  Italian Restaurant  0.04\n4                Caf\u00e9  0.04\n\n\n----Harbourfront,Regent Park----\n            venue  freq\n0     Coffee Shop  0.17\n1          Bakery  0.06\n2            Park  0.06\n3  Breakfast Spot  0.04\n4         Theater  0.04\n\n\n----High Park,The Junction South----\n                 venue  freq\n0   Mexican Restaurant  0.09\n1                 Caf\u00e9  0.09\n2                  Bar  0.09\n3  Arts & Crafts Store  0.04\n4          Flea Market  0.04\n\n\n----Lawrence Park----\n         venue  freq\n0     Bus Line  0.25\n1         Park  0.25\n2  Swim School  0.25\n3         Lake  0.25\n4  Yoga Studio  0.00\n\n\n----Little Portugal,Trinity----\n                     venue  freq\n0                      Bar  0.13\n1              Men's Store  0.05\n2              Coffee Shop  0.05\n3         Asian Restaurant  0.05\n4  New American Restaurant  0.03\n\n\n----Moore Park,Summerhill East----\n          venue  freq\n0    Playground  0.33\n1          Park  0.33\n2  Tennis Court  0.33\n3     Pet Store  0.00\n4   Music Store  0.00\n\n\n----North Toronto West----\n                 venue  freq\n0          Coffee Shop  0.11\n1       Clothing Store  0.11\n2          Yoga Studio  0.06\n3  Sporting Goods Shop  0.06\n4            Pet Store  0.06\n\n\n----Parkdale,Roncesvalles----\n            venue  freq\n0  Breakfast Spot  0.13\n1       Gift Shop  0.13\n2       Bookstore  0.07\n3    Dessert Shop  0.07\n4            Bank  0.07\n\n\n----Rosedale----\n            venue  freq\n0            Park  0.50\n1      Playground  0.25\n2           Trail  0.25\n3     Music Venue  0.00\n4  Massage Studio  0.00\n\n\n----Roselawn----\n                      venue  freq\n0                    Garden   1.0\n1               Yoga Studio   0.0\n2                    Market   0.0\n3            Massage Studio   0.0\n4  Mediterranean Restaurant   0.0\n\n\n----Runnymede,Swansea----\n                venue  freq\n0         Coffee Shop  0.08\n1         Pizza Place  0.08\n2                Caf\u00e9  0.08\n3   Electronics Store  0.05\n4  Italian Restaurant  0.05\n\n\n----Ryerson,Garden District----\n                       venue  freq\n0                Coffee Shop  0.10\n1             Clothing Store  0.06\n2             Cosmetics Shop  0.04\n3                       Caf\u00e9  0.04\n4  Middle Eastern Restaurant  0.03\n\n\n----St. James Town----\n            venue  freq\n0     Coffee Shop  0.07\n1            Caf\u00e9  0.06\n2      Restaurant  0.05\n3           Hotel  0.05\n4  Cosmetics Shop  0.04\n\n\n----Stn A PO Boxes 25 The Esplanade----\n                venue  freq\n0         Coffee Shop  0.11\n1          Restaurant  0.04\n2                Caf\u00e9  0.04\n3               Hotel  0.03\n4  Italian Restaurant  0.03\n\n\n----Studio District----\n                venue  freq\n0                Caf\u00e9  0.11\n1         Coffee Shop  0.08\n2  Italian Restaurant  0.05\n3              Bakery  0.05\n4           Gastropub  0.05\n\n\n----The Annex,North Midtown,Yorkville----\n            venue  freq\n0     Coffee Shop  0.12\n1  Sandwich Place  0.12\n2            Caf\u00e9  0.12\n3     Pizza Place  0.08\n4            Park  0.08\n\n\n----The Beaches----\n               venue  freq\n0  Health Food Store   0.2\n1      Grocery Store   0.2\n2                Pub   0.2\n3         Astrologer   0.2\n4        Men's Store   0.0\n\n\n----The Beaches West,India Bazaar----\n               venue  freq\n0     Sandwich Place  0.10\n1  Fish & Chips Shop  0.05\n2                Pub  0.05\n3       Liquor Store  0.05\n4      Movie Theater  0.05\n\n\n----The Danforth West,Riverdale----\n                    venue  freq\n0        Greek Restaurant  0.21\n1             Coffee Shop  0.10\n2          Ice Cream Shop  0.07\n3      Italian Restaurant  0.07\n4  Furniture / Home Store  0.05\n\n\n"
                }
            ], 
            "source": "#get top 5 venue types in each area\nnum_top_venues = 5\n\nfor hood in TorontoOneHotGrouped['Neighborhood']:\n    print(\"----\"+hood+\"----\")\n    temp = TorontoOneHotGrouped[TorontoOneHotGrouped['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')"
        }, 
        {
            "source": "### Sort venues in descending order", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 46, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "#write a function to sort the venues in descending order.\ndef 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]"
        }, 
        {
            "source": "### New dataframe that shows to 10 venues", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 47, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 47, 
                    "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>Adelaide,King,Richmond</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Bar</td>\n      <td>Steakhouse</td>\n      <td>American Restaurant</td>\n      <td>Thai Restaurant</td>\n      <td>Hotel</td>\n      <td>Bakery</td>\n      <td>Cosmetics Shop</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Berczy Park</td>\n      <td>Coffee Shop</td>\n      <td>Cocktail Bar</td>\n      <td>Bakery</td>\n      <td>Farmers Market</td>\n      <td>Restaurant</td>\n      <td>Seafood Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Cheese Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Beer Bar</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Brockton,Exhibition Place,Parkdale Village</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Breakfast Spot</td>\n      <td>Bar</td>\n      <td>Furniture / Home Store</td>\n      <td>Italian Restaurant</td>\n      <td>Convenience Store</td>\n      <td>Performing Arts Venue</td>\n      <td>Pet Store</td>\n      <td>Gym</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>Butcher</td>\n      <td>Light Rail Station</td>\n      <td>Auto Workshop</td>\n      <td>Smoke Shop</td>\n      <td>Brewery</td>\n      <td>Garden</td>\n      <td>Garden Center</td>\n      <td>Burrito Place</td>\n      <td>Restaurant</td>\n      <td>Fast Food Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n      <td>Airport Service</td>\n      <td>Airport Lounge</td>\n      <td>Airport Terminal</td>\n      <td>Harbor / Marina</td>\n      <td>Boutique</td>\n      <td>Airport</td>\n      <td>Airport Food Court</td>\n      <td>Airport Gate</td>\n      <td>Plane</td>\n      <td>Boat or Ferry</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                        Neighborhood 1st Most Common Venue  \\\n0                             Adelaide,King,Richmond           Coffee Shop   \n1                                        Berczy Park           Coffee Shop   \n2         Brockton,Exhibition Place,Parkdale Village           Coffee Shop   \n3  Business Reply Mail Processing Centre 969 Eastern               Butcher   \n4  CN Tower,Bathurst Quay,Island airport,Harbourf...       Airport Service   \n\n  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n0                  Caf\u00e9                   Bar            Steakhouse   \n1          Cocktail Bar                Bakery        Farmers Market   \n2                  Caf\u00e9        Breakfast Spot                   Bar   \n3    Light Rail Station         Auto Workshop            Smoke Shop   \n4        Airport Lounge      Airport Terminal       Harbor / Marina   \n\n    5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n0     American Restaurant       Thai Restaurant                 Hotel   \n1              Restaurant    Seafood Restaurant                  Caf\u00e9   \n2  Furniture / Home Store    Italian Restaurant     Convenience Store   \n3                 Brewery                Garden         Garden Center   \n4                Boutique               Airport    Airport Food Court   \n\n   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n0                 Bakery        Cosmetics Shop           Burger Joint  \n1            Cheese Shop    Italian Restaurant               Beer Bar  \n2  Performing Arts Venue             Pet Store                    Gym  \n3          Burrito Place            Restaurant   Fast Food Restaurant  \n4           Airport Gate                 Plane          Boat or Ferry  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "#create the new dataframe and display the top 10 venues for each neighborhood.\nnum_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\nNeighborhoodsVenues_sorted = pd.DataFrame(columns=columns)\nNeighborhoodsVenues_sorted['Neighborhood'] = TorontoOneHotGrouped['Neighborhood']\n\nfor ind in np.arange(TorontoOneHotGrouped.shape[0]):\n    NeighborhoodsVenues_sorted.iloc[ind, 1:] = return_most_common_venues(TorontoOneHotGrouped.iloc[ind, :], num_top_venues)\n\nNeighborhoodsVenues_sorted.head()"
        }, 
        {
            "source": "### Define clusters and run K-Means clustering", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 48, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 48, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "array([2, 2, 2, 2, 2, 2, 2, 2, 2, 2], dtype=int32)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# set number of clusters\nkclusters = 3\n\nTorontoOneHotGroupedclustering = TorontoOneHotGrouped.drop('Neighborhood', 1)\n\n# run k-means clustering\nkmeans = KMeans(n_clusters=kclusters, random_state=0).fit(TorontoOneHotGroupedclustering)\n\n# check cluster labels generated for each row in the dataframe\nkmeans.labels_[0:10]"
        }, 
        {
            "source": "### Add Cluster labels and merged Toronta data to Latitude/Longitude for each neighbourhood", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 49, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 49, 
                    "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>Postal Code</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n      <th>Cluster Labels</th>\n      <th>1st Most Common Venue</th>\n      <th>2nd Most Common Venue</th>\n      <th>3rd Most Common Venue</th>\n      <th>4th Most Common Venue</th>\n      <th>5th Most Common Venue</th>\n      <th>6th Most Common Venue</th>\n      <th>7th Most Common Venue</th>\n      <th>8th Most Common Venue</th>\n      <th>9th Most Common Venue</th>\n      <th>10th Most Common Venue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M4E</td>\n      <td>East Toronto</td>\n      <td>The Beaches</td>\n      <td>43.676357</td>\n      <td>-79.293031</td>\n      <td>2</td>\n      <td>Astrologer</td>\n      <td>Health Food Store</td>\n      <td>Grocery Store</td>\n      <td>Pub</td>\n      <td>Donut Shop</td>\n      <td>Dessert Shop</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4K</td>\n      <td>East Toronto</td>\n      <td>The Danforth West,Riverdale</td>\n      <td>43.679557</td>\n      <td>-79.352188</td>\n      <td>2</td>\n      <td>Greek Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Ice Cream Shop</td>\n      <td>Italian Restaurant</td>\n      <td>Furniture / Home Store</td>\n      <td>Bookstore</td>\n      <td>Brewery</td>\n      <td>Bubble Tea Shop</td>\n      <td>Restaurant</td>\n      <td>Caf\u00e9</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M4L</td>\n      <td>East Toronto</td>\n      <td>The Beaches West,India Bazaar</td>\n      <td>43.668999</td>\n      <td>-79.315572</td>\n      <td>2</td>\n      <td>Sandwich Place</td>\n      <td>Pet Store</td>\n      <td>Steakhouse</td>\n      <td>Sushi Restaurant</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Burrito Place</td>\n      <td>Pub</td>\n      <td>Ice Cream Shop</td>\n      <td>Fish &amp; Chips Shop</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M4M</td>\n      <td>East Toronto</td>\n      <td>Studio District</td>\n      <td>43.659526</td>\n      <td>-79.340923</td>\n      <td>2</td>\n      <td>Caf\u00e9</td>\n      <td>Coffee Shop</td>\n      <td>Bakery</td>\n      <td>Gastropub</td>\n      <td>Italian Restaurant</td>\n      <td>American Restaurant</td>\n      <td>Park</td>\n      <td>Seafood Restaurant</td>\n      <td>Brewery</td>\n      <td>Sandwich Place</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M4N</td>\n      <td>Central Toronto</td>\n      <td>Lawrence Park</td>\n      <td>43.728020</td>\n      <td>-79.388790</td>\n      <td>0</td>\n      <td>Bus Line</td>\n      <td>Park</td>\n      <td>Lake</td>\n      <td>Swim School</td>\n      <td>Department Store</td>\n      <td>Event Space</td>\n      <td>Ethiopian Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postal Code          Borough                   Neighborhood   Latitude  \\\n0         M4E     East Toronto                    The Beaches  43.676357   \n1         M4K     East Toronto    The Danforth West,Riverdale  43.679557   \n2         M4L     East Toronto  The Beaches West,India Bazaar  43.668999   \n3         M4M     East Toronto                Studio District  43.659526   \n4         M4N  Central Toronto                  Lawrence Park  43.728020   \n\n   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n0 -79.293031               2            Astrologer     Health Food Store   \n1 -79.352188               2      Greek Restaurant           Coffee Shop   \n2 -79.315572               2        Sandwich Place             Pet Store   \n3 -79.340923               2                  Caf\u00e9           Coffee Shop   \n4 -79.388790               0              Bus Line                  Park   \n\n  3rd Most Common Venue 4th Most Common Venue   5th Most Common Venue  \\\n0         Grocery Store                   Pub              Donut Shop   \n1        Ice Cream Shop    Italian Restaurant  Furniture / Home Store   \n2            Steakhouse      Sushi Restaurant       Food & Drink Shop   \n3                Bakery             Gastropub      Italian Restaurant   \n4                  Lake           Swim School        Department Store   \n\n  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n0          Dessert Shop                 Diner        Discount Store   \n1             Bookstore               Brewery       Bubble Tea Shop   \n2         Burrito Place                   Pub        Ice Cream Shop   \n3   American Restaurant                  Park    Seafood Restaurant   \n4           Event Space  Ethiopian Restaurant     Electronics Store   \n\n         9th Most Common Venue 10th Most Common Venue  \n0                      Dog Run       Doner Restaurant  \n1                   Restaurant                   Caf\u00e9  \n2            Fish & Chips Shop           Burger Joint  \n3                      Brewery         Sandwich Place  \n4  Eastern European Restaurant    Dumpling Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# add clustering labels\nNeighborhoodsVenues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n\nTorontoMerged_df = Toronto_df\n\n# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\nTorontoMerged_df = TorontoMerged_df.join(NeighborhoodsVenues_sorted.set_index('Neighborhood'), on='Neighborhood')\n\nTorontoMerged_df.head() # check the last columns!"
        }, 
        {
            "source": "### Let's visualize the clusters", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 43, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "execution_count": 43, 
                    "metadata": {}, 
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                ).addTo(map_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_7b14b970518d492ba0b852665b6ab33a = L.popup({maxWidth: '300'});

            
                var html_08e50ff6754e4c6784b1e5e587938241 = $('<div id="html_08e50ff6754e4c6784b1e5e587938241" style="width: 100.0%; height: 100.0%;">Forest Hill North,Forest Hill West, Cluster 0</div>')[0];
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            circle_marker_44fc7a2e8a3b4426be3dcdc35ff32dfa.bindPopup(popup_7b14b970518d492ba0b852665b6ab33a);

            
        
    
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  "fill": true,
  "fillColor": "#80ffb4",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
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  "stroke": true,
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}
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            var popup_824d16aa25e84c91a5e68945daa31e54 = L.popup({maxWidth: '300'});

            
                var html_a248f1d9dff149019415fe5619d09268 = $('<div id="html_a248f1d9dff149019415fe5619d09268" style="width: 100.0%; height: 100.0%;">The Annex,North Midtown,Yorkville, Cluster 2</div>')[0];
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  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
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  "fillRule": "evenodd",
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  "lineJoin": "round",
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  "stroke": true,
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}
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                var html_f7dbf78e683b42f8aa4e8a6986d058d4 = $('<div id="html_f7dbf78e683b42f8aa4e8a6986d058d4" style="width: 100.0%; height: 100.0%;">Harbord,University of Toronto, Cluster 2</div>')[0];
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                {
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  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
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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",
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  "stroke": true,
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}
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                {
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  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
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  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
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            var popup_853d5279571441c9860529e2b982e29e = L.popup({maxWidth: '300'});

            
                var html_20d194de4c684f49b206044d4147c119 = $('<div id="html_20d194de4c684f49b206044d4147c119" style="width: 100.0%; height: 100.0%;">First Canadian Place,Underground city, Cluster 2</div>')[0];
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                {
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  "color": "#80ffb4",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#80ffb4",
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  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
                ).addTo(map_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_e5c774c8848846e398932325834a2de2 = L.popup({maxWidth: '300'});

            
                var html_03a36a2747bb4da3927cbb0d44617334 = $('<div id="html_03a36a2747bb4da3927cbb0d44617334" style="width: 100.0%; height: 100.0%;">Christie, Cluster 2</div>')[0];
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            circle_marker_2377965241894603bf52aa87fa0e21db.bindPopup(popup_e5c774c8848846e398932325834a2de2);

            
        
    
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                [43.66900510000001,-79.4422593],
                {
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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_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_d255b6ee842c4dc5b4c72e1d0632d320 = L.popup({maxWidth: '300'});

            
                var html_fbbd8049ddb34219a01c00a9ee1c8bf4 = $('<div id="html_fbbd8049ddb34219a01c00a9ee1c8bf4" style="width: 100.0%; height: 100.0%;">Dovercourt Village,Dufferin, Cluster 2</div>')[0];
                popup_d255b6ee842c4dc5b4c72e1d0632d320.setContent(html_fbbd8049ddb34219a01c00a9ee1c8bf4);
            

            circle_marker_5a66cfa0e193447e88f743afa2f774ca.bindPopup(popup_d255b6ee842c4dc5b4c72e1d0632d320);

            
        
    
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                [43.647926700000006,-79.4197497],
                {
  "bubblingMouseEvents": true,
  "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_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_15eae5585a9d404fb19e76eca7798395 = L.popup({maxWidth: '300'});

            
                var html_c3908efe676542e4b28651d20705f1ad = $('<div id="html_c3908efe676542e4b28651d20705f1ad" style="width: 100.0%; height: 100.0%;">Little Portugal,Trinity, Cluster 2</div>')[0];
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            circle_marker_c09a476d57174f50bc3ed4d7d832df1d.bindPopup(popup_15eae5585a9d404fb19e76eca7798395);

            
        
    
            var circle_marker_bf9b184e739f4637baebcbdc331ad095 = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
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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_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_5a7c73b3f7fe4ab4b1c4fbe2a7d072d5 = L.popup({maxWidth: '300'});

            
                var html_cd25ec8c0bfc44508b9e3fa24bc884e8 = $('<div id="html_cd25ec8c0bfc44508b9e3fa24bc884e8" style="width: 100.0%; height: 100.0%;">Brockton,Exhibition Place,Parkdale Village, Cluster 2</div>')[0];
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                [43.6616083,-79.46476329999999],
                {
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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_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_b51d46ba82ce4ee3bb6d946f0cb21007 = L.popup({maxWidth: '300'});

            
                var html_078ecdc51aca46d981b5c1d3dac506e0 = $('<div id="html_078ecdc51aca46d981b5c1d3dac506e0" style="width: 100.0%; height: 100.0%;">High Park,The Junction South, Cluster 2</div>')[0];
                popup_b51d46ba82ce4ee3bb6d946f0cb21007.setContent(html_078ecdc51aca46d981b5c1d3dac506e0);
            

            circle_marker_fdc907a09f724c7ea794517ee8bfee4b.bindPopup(popup_b51d46ba82ce4ee3bb6d946f0cb21007);

            
        
    
            var circle_marker_a5c84ff45aa64ce1be10c9898708ccf2 = L.circleMarker(
                [43.6489597,-79.456325],
                {
  "bubblingMouseEvents": true,
  "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_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_4778841588de4b489847e036380edc72 = L.popup({maxWidth: '300'});

            
                var html_90b757d171c34d479f765dd6e901576d = $('<div id="html_90b757d171c34d479f765dd6e901576d" style="width: 100.0%; height: 100.0%;">Parkdale,Roncesvalles, Cluster 2</div>')[0];
                popup_4778841588de4b489847e036380edc72.setContent(html_90b757d171c34d479f765dd6e901576d);
            

            circle_marker_a5c84ff45aa64ce1be10c9898708ccf2.bindPopup(popup_4778841588de4b489847e036380edc72);

            
        
    
            var circle_marker_dafce6500cc849ccac9f0262a156cea6 = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "bubblingMouseEvents": true,
  "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_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_66db3b24af6646a8bad4594d9018ce9e = L.popup({maxWidth: '300'});

            
                var html_128242dd3c2548eda349083e1d989bc9 = $('<div id="html_128242dd3c2548eda349083e1d989bc9" style="width: 100.0%; height: 100.0%;">Runnymede,Swansea, Cluster 2</div>')[0];
                popup_66db3b24af6646a8bad4594d9018ce9e.setContent(html_128242dd3c2548eda349083e1d989bc9);
            

            circle_marker_dafce6500cc849ccac9f0262a156cea6.bindPopup(popup_66db3b24af6646a8bad4594d9018ce9e);

            
        
    
            var circle_marker_922799a2b27842d884b4c8435d034c34 = L.circleMarker(
                [43.6627439,-79.321558],
                {
  "bubblingMouseEvents": true,
  "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_892aa3886f104b45bdf6526b0235d281);
            
    
            var popup_593b8fd7b46e41bfa8779af63b58cf1f = L.popup({maxWidth: '300'});

            
                var html_079e01f6ba9d42a7b6c4a0276484d3db = $('<div id="html_079e01f6ba9d42a7b6c4a0276484d3db" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern, 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 0x7fbc107eb940>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# create map\nMapClusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n\n# set color scheme for the clusters\nx = np.arange(kclusters)\nys = [i + x + (i*x)**2 for i in range(kclusters)]\ncolors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\nrainbow = [colors.rgb2hex(i) for i in colors_array]\n\n# add markers to the map\nmarkers_colors = []\nfor lat, lon, poi, cluster in zip(TorontoMerged_df['Latitude'], TorontoMerged_df['Longitude'], TorontoMerged_df['Neighborhood'], TorontoMerged_df['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(MapClusters)\n       \nMapClusters"
        }, 
        {
            "execution_count": null, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": ""
        }
    ], 
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.5", 
            "name": "python3", 
            "language": "python"
        }, 
        "language_info": {
            "mimetype": "text/x-python", 
            "nbconvert_exporter": "python", 
            "version": "3.5.5", 
            "name": "python", 
            "file_extension": ".py", 
            "pygments_lexer": "ipython3", 
            "codemirror_mode": {
                "version": 3, 
                "name": "ipython"
            }
        }
    }, 
    "nbformat": 4
}