Segmenting and Clustering Neighborhoods in Toronto (part 3).ipynb

{
    "nbformat_minor": 1, 
    "cells": [
        {
            "execution_count": 2, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Requirement already satisfied: beautifulsoup4 in /opt/conda/envs/DSX-Python35/lib/python3.5/site-packages (4.6.0)\n\u001b[31mtensorflow 1.3.0 requires tensorflow-tensorboard<0.2.0,>=0.1.0, which is not installed.\u001b[0m\n"
                }
            ], 
            "source": "!pip install beautifulsoup4"
        }, 
        {
            "source": "make beautifulsoup object of website", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 3, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "url = r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\nimport bs4\nimport requests\n\nr  = requests.get(url)\n\ndata = r.text\n\nsoup = bs4.BeautifulSoup(data, 'lxml')"
        }, 
        {
            "source": "convert website contents to dataframe", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 4, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "  postcode           borough            neighborhood\n0      M1A      Not assigned           Not assigned\n\n1      M2A      Not assigned           Not assigned\n\n2      M3A        North York               Parkwoods\n3      M4A        North York        Victoria Village\n4      M5A  Downtown Toronto  Harbourfront (Toronto)\n5      M5A  Downtown Toronto             Regent Park\n6      M6A        North York        Lawrence Heights\n7      M6A        North York          Lawrence Manor\n8      M7A      Queen's Park           Not assigned\n\n9      M8A      Not assigned           Not assigned\n\n"
                }
            ], 
            "source": "import pandas as pd\nmy_table = soup.find('table',{'class':'wikitable sortable'})\nentries = my_table.find_all('td')\n\ncols = ['postcode', 'borough', 'neighborhood']\ndata_dict = {'postcode': [], 'borough': [], 'neighborhood': []}\n\nit = iter(entries)\n\nwhile True:\n    for col in cols:\n        entry = next(it, False)\n        if not entry:\n            break\n        if entry.string is None:\n            data_dict[col].append(entry.contents[0].attrs['title'])\n        else:\n            data_dict[col].append(entry.string)\n    else:\n        continue\n    \n    break\n\ndf = pd.DataFrame(data_dict)\ndf = df[cols]\n\nprint(df[:10])"
        }, 
        {
            "source": "take out the rows with a borough that is not assigned", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 5, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "   postcode           borough            neighborhood\n2       M3A        North York               Parkwoods\n3       M4A        North York        Victoria Village\n4       M5A  Downtown Toronto  Harbourfront (Toronto)\n5       M5A  Downtown Toronto             Regent Park\n6       M6A        North York        Lawrence Heights\n7       M6A        North York          Lawrence Manor\n8       M7A      Queen's Park           Not assigned\n\n10      M9A         Etobicoke        Islington Avenue\n11      M1B       Scarborough          Rouge, Toronto\n12      M1B       Scarborough        Malvern, Toronto\n"
                }
            ], 
            "source": "df = df[df.borough != 'Not assigned']\nprint(df[:10])"
        }, 
        {
            "source": "merge the neighborhoods that have the same postcode", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 6, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "              borough                                       neighborhood\npostcode                                                                \nM1B       Scarborough                   Rouge, Toronto, Malvern, Toronto\nM1C       Scarborough  Highland Creek (Toronto), Rouge Hill, Port Uni...\nM1E       Scarborough  Guildwood, Morningside, Toronto, West Hill, To...\nM1G       Scarborough                                    Woburn, Toronto\nM1H       Scarborough                                          Cedarbrae\nM1J       Scarborough                                Scarborough Village\nM1K       Scarborough  East Birchmount Park, Ionview, Kennedy Park, T...\nM1L       Scarborough  Clairlea, Golden Mile, Toronto, Oakridge, Toronto\nM1M       Scarborough  Cliffcrest, Cliffside, Toronto, Scarborough Vi...\nM1N       Scarborough                        Birch Cliff, Cliffside West\nM1P       Scarborough  Dorset Park, Scarborough Town Centre, Wexford ...\nM1R       Scarborough                Maryvale, Toronto, Wexford, Toronto\nM1S       Scarborough                                 Agincourt, Toronto\nM1T       Scarborough  Clarks Corners, Sullivan, Tam O'Shanter \u2013 Sull...\nM1V       Scarborough  Agincourt North, L'Amoreaux East, Milliken, On...\nM1W       Scarborough                                    L'Amoreaux West\nM1X       Scarborough                                        Upper Rouge\nM2H        North York                                  Hillcrest Village\nM2J        North York                       Fairview, Henry Farm, Oriole\nM2K        North York                                    Bayview Village\n"
                }
            ], 
            "source": "def tmp(group_series):\n    return pd.Series(data={'borough': group_series.iloc[0].borough, 'neighborhood': ', '.join([neighborhood.strip() for neighborhood in group_series.neighborhood])})\n    \ndf = df.groupby('postcode').agg(tmp)\n\n# df.reset_index(inplace=True)\n\nprint(df[:20])"
        }, 
        {
            "source": "if the neighborhood is not assigned but the borough is, set the neighborhood to the borough", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 7, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "df.loc[df.neighborhood == 'Not assigned', 'neighborhood'] = df.loc[df.neighborhood == 'Not assigned', 'borough']"
        }, 
        {
            "execution_count": 8, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 8, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "(103, 2)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "df.shape"
        }, 
        {
            "source": "non-working code to get coordinates through geocoder", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 9, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# !pip install geocoder"
        }, 
        {
            "execution_count": 10, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "# import geocoder # import geocoder\n\n# latitude_list = []\n# longitude_list = []\n\n# # initialize your variable to None\n\n# for postcode in df.postcode:\n#     lat_lng_coords = None\n\n#     # loop until you get the coordinates\n#     while(lat_lng_coords is None):\n#         print('trying')\n#         g = geocoder.google('{}, Toronto, Ontario'.format(postcode))\n#         lat_lng_coords = g.latlng\n    \n#     print(postcode, lat_lng_coords)\n\n#     latitude_list.append(lat_lng_coords[0])\n#     longitude_list.append(lat_lng_coords[1])\n\n# print(latitude_list, longitude_list)"
        }, 
        {
            "source": "get latitudes and longitudes from csv-file", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 11, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "              Latitude  Longitude\nPostal Code                      \nM1B          43.806686 -79.194353\nM1C          43.784535 -79.160497\nM1E          43.763573 -79.188711\nM1G          43.770992 -79.216917\nM1H          43.773136 -79.239476\n"
                }
            ], 
            "source": "df_lat_long = pd.read_csv('https://cocl.us/Geospatial_data')\ndf_lat_long.set_index('Postal Code', inplace=True)\nprint(df_lat_long.head())\n"
        }, 
        {
            "execution_count": 12, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "         borough                                       neighborhood  \\\nM1B  Scarborough                   Rouge, Toronto, Malvern, Toronto   \nM1C  Scarborough  Highland Creek (Toronto), Rouge Hill, Port Uni...   \nM1E  Scarborough  Guildwood, Morningside, Toronto, West Hill, To...   \nM1G  Scarborough                                    Woburn, Toronto   \nM1H  Scarborough                                          Cedarbrae   \n\n      Latitude  Longitude  \nM1B  43.806686 -79.194353  \nM1C  43.784535 -79.160497  \nM1E  43.763573 -79.188711  \nM1G  43.770992 -79.216917  \nM1H  43.773136 -79.239476  \nIndex(['borough', 'neighborhood', 'Latitude', 'Longitude'], dtype='object') (103, 4)\n"
                }
            ], 
            "source": "df_merged = pd.concat([df, df_lat_long], axis=1)\nprint(df_merged.head())\nprint(df_merged.columns, df_merged.shape)"
        }, 
        {
            "source": "Foursquare credentials", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 84, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": false
            }, 
            "outputs": [], 
            "source": "# The code was removed by Watson Studio for sharing."
        }, 
        {
            "source": "get nearby venues", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 16, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n    \n    venues_list=[]\n    for name, lat, lng in zip(names, latitudes, longitudes):\n        print(name)\n            \n        # create the API request URL\n        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n            CLIENT_ID, \n            CLIENT_SECRET, \n            VERSION, \n            lat, \n            lng, \n            radius, \n            LIMIT)\n            \n        # make the GET request\n        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n        \n        # return only relevant information for each nearby venue\n        venues_list.append([(\n            name, \n            lat, \n            lng, \n            v['venue']['name'], \n            v['venue']['location']['lat'], \n            v['venue']['location']['lng'],  \n            v['venue']['categories'][0]['name']) for v in results])\n\n    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n    nearby_venues.columns = ['Neighborhood', \n                  'Neighborhood Latitude', \n                  'Neighborhood Longitude', \n                  'Venue', \n                  'Venue Latitude', \n                  'Venue Longitude', \n                  'Venue Category']\n    \n    return(nearby_venues)"
        }, 
        {
            "execution_count": 17, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Rouge, Toronto, Malvern, Toronto\nHighland Creek (Toronto), Rouge Hill, Port Union, Toronto\nGuildwood, Morningside, Toronto, West Hill, Toronto\nWoburn, Toronto\nCedarbrae\nScarborough Village\nEast Birchmount Park, Ionview, Kennedy Park, Toronto\nClairlea, Golden Mile, Toronto, Oakridge, Toronto\nCliffcrest, Cliffside, Toronto, Scarborough Village West\nBirch Cliff, Cliffside West\nDorset Park, Scarborough Town Centre, Wexford Heights\nMaryvale, Toronto, Wexford, Toronto\nAgincourt, Toronto\nClarks Corners, Sullivan, Tam O'Shanter \u2013 Sullivan\nAgincourt North, L'Amoreaux East, Milliken, Ontario, Steeles East\nL'Amoreaux West\nUpper Rouge\nHillcrest Village\nFairview, Henry Farm, Oriole\nBayview Village\nSilver Hills, York Mills\nNewtonbrook, Willowdale, Toronto\nWillowdale South\nYork Mills West\nWillowdale West\nParkwoods\nDon Mills North\nFlemingdon Park, Don Mills South\nBathurst Manor, Downsview North, Wilson Heights, Toronto\nNorthwood Park, York University\nCFB Toronto, Downsview East\nDownsview\nDownsview Central\nDownsview Northwest\nVictoria Village\nWoodbine Gardens, Parkview Hill\nWoodbine Heights\nThe Beaches\nLeaside\nThorncliffe Park\nEast Toronto\nThe Danforth West, Riverdale, Toronto\nThe Beaches West, India Bazaar\nStudio District\nLawrence Park, Toronto\nDavisville North\nNorth Toronto West\nDavisville\nMoore Park, Toronto, Summerhill East\nDeer Park, Toronto, Forest Hill SE, Rathnelly, South Hill, Toronto, Summerhill West\nRosedale, Toronto\nCabbagetown, Toronto, St. James Town\nChurch and Wellesley\nHarbourfront (Toronto), Regent Park\nRyerson, Garden District\nSt. James Town\nBerczy Park\nCentral Bay Street\nAdelaide, King, Richmond\nHarbourfront East, Toronto Islands, Union Station (Toronto)\nDesign Exchange, Toronto Dominion Centre\nCommerce Court, Victoria Hotel\nBedford Park, Toronto, Lawrence Manor East\nRoselawn\nForest Hill North, Forest Hill West\nThe Annex, North Midtown, Yorkville, Toronto\nHarbord, University of Toronto\nChinatown, Toronto, Grange Park (Toronto), Kensington Market\nCN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\nStn A PO Boxes 25 The Esplanade\nFirst Canadian Place, Underground city\nLawrence Heights, Lawrence Manor\nGlencairn\nHumewood-Cedarvale\nCaledonia-Fairbanks\nChristie\nDovercourt Village, Dufferin\nLittle Portugal, Toronto, Trinity\u2013Bellwoods\nBrockton, Exhibition Place, Parkdale Village\nDownsview, Toronto, North Park, Upwood Park\nDel Ray, Keelesdale, Mount Dennis, Silverthorn, Toronto\nThe Junction North, Runnymede\nHigh Park, The Junction South\nParkdale, Toronto, Roncesvalles, Toronto\nRunnymede, Toronto, Swansea, Toronto\nQueen's Park\nCanada Post Gateway Processing Centre\nBusiness Reply Mail Processing Centre 969 Eastern\nHumber Bay Shores, Mimico South, New Toronto\nAlderwood, Toronto, Long Branch, Toronto\nThe Kingsway, Montgomery Road, Old Mill North\nHumber Bay, King's Mill Park, Kingsway Park South East, Mimico, Old Mill, Toronto, The Queensway, Fairmont Royal York Hotel, Sunnylea\nKingsway Park South West, Mimico, The Queensway, Royal York South West, South of Bloor\nIslington Avenue\nCloverdale, Islington, Toronto, Martin Grove, Princess Gardens, West Deane Park\nBloordale Gardens, Eringate, Markland Wood, Old Burnhamthorpe\nHumber Summit\nEmery, Toronto, Humberlea\nWeston, Toronto\nWestmount\nKingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips\nAlbion Gardens, Beaumond Heights, Humbergate, Mount Olive-Silverstone-Jamestown, Mount Olive-Silverstone-Jamestown, Silverstone, Toronto, South Steeles, Thistletown\nNorthwest\n"
                }
            ], 
            "source": "toronto_venues = getNearbyVenues(names=df_merged['neighborhood'],\n                                   latitudes=df_merged['Latitude'],\n                                   longitudes=df_merged['Longitude']\n                                  )"
        }, 
        {
            "execution_count": 18, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "(2246, 7)                                         Neighborhood  Neighborhood Latitude  \\\n0                   Rouge, Toronto, Malvern, Toronto              43.806686   \n1  Highland Creek (Toronto), Rouge Hill, Port Uni...              43.784535   \n2  Highland Creek (Toronto), Rouge Hill, Port Uni...              43.784535   \n3  Guildwood, Morningside, Toronto, West Hill, To...              43.763573   \n4  Guildwood, Morningside, Toronto, West Hill, To...              43.763573   \n\n   Neighborhood Longitude                            Venue  Venue Latitude  \\\n0              -79.194353                          Wendy's       43.807448   \n1              -79.160497                RIGHT WAY TO GOLF       43.785177   \n2              -79.160497            Royal Canadian Legion       43.782533   \n3              -79.188711  Swiss Chalet Rotisserie & Grill       43.767697   \n4              -79.188711                G & G Electronics       43.765309   \n\n   Venue Longitude        Venue Category  \n0       -79.199056  Fast Food Restaurant  \n1       -79.161108           Golf Course  \n2       -79.163085                   Bar  \n3       -79.189914           Pizza Place  \n4       -79.191537     Electronics Store  \n"
                }
            ], 
            "source": "print(toronto_venues.shape, toronto_venues.head())"
        }, 
        {
            "source": "convert de different venues into different columns (one hot encoding)", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 31, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": false
            }, 
            "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>Neighborhood</th>\n      <th>Accessories Store</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>...</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Warehouse Store</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Rouge, Toronto, Malvern, 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>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <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>Highland Creek (Toronto), Rouge Hill, Port Uni...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Highland Creek (Toronto), Rouge Hill, Port Uni...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Guildwood, Morningside, Toronto, West Hill, To...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Guildwood, Morningside, Toronto, West Hill, To...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows \u00d7 272 columns</p>\n</div>", 
                        "text/plain": "                                        Neighborhood  Accessories Store  \\\n0                   Rouge, Toronto, Malvern, Toronto                  0   \n1  Highland Creek (Toronto), Rouge Hill, Port Uni...                  0   \n2  Highland Creek (Toronto), Rouge Hill, Port Uni...                  0   \n3  Guildwood, Morningside, Toronto, West Hill, To...                  0   \n4  Guildwood, Morningside, Toronto, West Hill, To...                  0   \n\n   Adult Boutique  Afghan Restaurant  Airport  Airport Food Court  \\\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   Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n0             0               0                0                 0   \n1             0               0                0                 0   \n2             0               0                0                 0   \n3             0               0                0                 0   \n4             0               0                0                 0   \n\n      ...       Train Station  Vegetarian / Vegan Restaurant  \\\n0     ...                   0                              0   \n1     ...                   0                              0   \n2     ...                   0                              0   \n3     ...                   0                              0   \n4     ...                   0                              0   \n\n   Video Game Store  Video Store  Vietnamese Restaurant  Warehouse 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   Wine Bar  Wings Joint  Women's Store  Yoga Studio  \n0         0            0              0            0  \n1         0            0              0            0  \n2         0            0              0            0  \n3         0            0              0            0  \n4         0            0              0            0  \n\n[5 rows x 272 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# one hot encoding\ndf_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n\n# add neighborhood column back to dataframe\ndf_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n\n# move neighborhood column to the first column\ncol_list = list(df_onehot.columns.values)\nneighborhood_index = col_list.index('Neighborhood')\nfixed_columns = [col_list.pop(neighborhood_index)] + col_list\ndf_onehot = df_onehot[fixed_columns]\n\ndf_onehot.head()"
        }, 
        {
            "source": "group them by neighborhood", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 42, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 42, 
                    "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>Accessories Store</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>...</th>\n      <th>Train Station</th>\n      <th>Vegetarian / Vegan Restaurant</th>\n      <th>Video Game Store</th>\n      <th>Video Store</th>\n      <th>Vietnamese Restaurant</th>\n      <th>Warehouse Store</th>\n      <th>Wine Bar</th>\n      <th>Wings Joint</th>\n      <th>Women's Store</th>\n      <th>Yoga Studio</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Adelaide, King, Richmond</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.01</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Agincourt North, L'Amoreaux East, Milliken, On...</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Agincourt, Toronto</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Alderwood, Toronto, Long Branch, Toronto</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.00</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows \u00d7 272 columns</p>\n</div>", 
                        "text/plain": "                                        Neighborhood  Accessories Store  \\\n0                           Adelaide, King, Richmond                0.0   \n1  Agincourt North, L'Amoreaux East, Milliken, On...                0.0   \n2                                 Agincourt, Toronto                0.0   \n3  Albion Gardens, Beaumond Heights, Humbergate, ...                0.0   \n4           Alderwood, Toronto, Long Branch, Toronto                0.0   \n\n   Adult Boutique  Afghan Restaurant  Airport  Airport Food Court  \\\n0             0.0                0.0      0.0                 0.0   \n1             0.0                0.0      0.0                 0.0   \n2             0.0                0.0      0.0                 0.0   \n3             0.0                0.0      0.0                 0.0   \n4             0.0                0.0      0.0                 0.0   \n\n   Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n0           0.0             0.0              0.0               0.0   \n1           0.0             0.0              0.0               0.0   \n2           0.0             0.0              0.0               0.0   \n3           0.0             0.0              0.0               0.0   \n4           0.0             0.0              0.0               0.0   \n\n      ...       Train Station  Vegetarian / Vegan Restaurant  \\\n0     ...                 0.0                           0.01   \n1     ...                 0.0                           0.00   \n2     ...                 0.0                           0.00   \n3     ...                 0.0                           0.00   \n4     ...                 0.0                           0.00   \n\n   Video Game Store  Video Store  Vietnamese Restaurant  Warehouse Store  \\\n0               0.0          0.0                    0.0              0.0   \n1               0.0          0.0                    0.0              0.0   \n2               0.0          0.0                    0.0              0.0   \n3               0.0          0.1                    0.0              0.0   \n4               0.0          0.0                    0.0              0.0   \n\n   Wine Bar  Wings Joint  Women's Store  Yoga Studio  \n0      0.01          0.0            0.0          0.0  \n1      0.00          0.0            0.0          0.0  \n2      0.00          0.0            0.0          0.0  \n3      0.00          0.0            0.0          0.0  \n4      0.00          0.0            0.0          0.0  \n\n[5 rows x 272 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "df_grouped = df_onehot.groupby('Neighborhood').mean().reset_index()\ndf_grouped.head()"
        }, 
        {
            "source": "apply K-means clustering", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 41, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 41, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n       0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0,\n       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n       0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0,\n       2, 0, 0, 0, 0, 0, 0], dtype=int32)"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# import k-means from clustering stage\nfrom sklearn.cluster import KMeans\n\n\n# set number of clusters\nkclusters = 5\n\ndf_grouped_clustering = df_grouped.drop('Neighborhood', 1)\n\n# run k-means clustering\nkmeans = KMeans(n_clusters=kclusters, random_state=0).fit(df_grouped_clustering)\n\n# check cluster labels generated for each row in the dataframe\nkmeans.labels_ "
        }, 
        {
            "source": "give most common venues for all neighborhoods", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 43, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "def return_most_common_venues(row, num_top_venues):\n    row_categories = row.iloc[1:]\n    row_categories_sorted = row_categories.sort_values(ascending=False)\n    \n    return row_categories_sorted.index.values[0:num_top_venues]"
        }, 
        {
            "execution_count": 50, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 50, 
                    "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>American Restaurant</td>\n      <td>Thai Restaurant</td>\n      <td>Steakhouse</td>\n      <td>Cosmetics Shop</td>\n      <td>Hotel</td>\n      <td>Burger Joint</td>\n      <td>Bakery</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Agincourt North, L'Amoreaux East, Milliken, On...</td>\n      <td>Park</td>\n      <td>Coffee Shop</td>\n      <td>Playground</td>\n      <td>Yoga Studio</td>\n      <td>Donut Shop</td>\n      <td>Dim Sum Restaurant</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>2</th>\n      <td>Agincourt, Toronto</td>\n      <td>Lounge</td>\n      <td>Clothing Store</td>\n      <td>Skating Rink</td>\n      <td>Breakfast Spot</td>\n      <td>Yoga Studio</td>\n      <td>Dumpling Restaurant</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n      <td>Grocery Store</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Fast Food Restaurant</td>\n      <td>Beer Store</td>\n      <td>Fried Chicken Joint</td>\n      <td>Video Store</td>\n      <td>Pharmacy</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Alderwood, Toronto, Long Branch, Toronto</td>\n      <td>Pizza Place</td>\n      <td>Coffee Shop</td>\n      <td>Gym</td>\n      <td>Pharmacy</td>\n      <td>Skating Rink</td>\n      <td>Sandwich Place</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Pool</td>\n      <td>Pub</td>\n      <td>Yoga Studio</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                        Neighborhood 1st Most Common Venue  \\\n0                           Adelaide, King, Richmond           Coffee Shop   \n1  Agincourt North, L'Amoreaux East, Milliken, On...                  Park   \n2                                 Agincourt, Toronto                Lounge   \n3  Albion Gardens, Beaumond Heights, Humbergate, ...         Grocery Store   \n4           Alderwood, Toronto, Long Branch, Toronto           Pizza Place   \n\n  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n0                  Caf\u00e9                   Bar   American Restaurant   \n1           Coffee Shop            Playground           Yoga Studio   \n2        Clothing Store          Skating Rink        Breakfast Spot   \n3           Coffee Shop           Pizza Place        Sandwich Place   \n4           Coffee Shop                   Gym              Pharmacy   \n\n  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n0       Thai Restaurant            Steakhouse        Cosmetics Shop   \n1            Donut Shop    Dim Sum Restaurant                 Diner   \n2           Yoga Studio   Dumpling Restaurant        Discount Store   \n3  Fast Food Restaurant            Beer Store   Fried Chicken Joint   \n4          Skating Rink        Sandwich Place    Athletics & Sports   \n\n  8th Most Common Venue 9th Most Common Venue       10th Most Common Venue  \n0                 Hotel          Burger Joint                       Bakery  \n1        Discount Store               Dog Run             Doner Restaurant  \n2               Dog Run      Doner Restaurant                   Donut Shop  \n3           Video Store              Pharmacy  Eastern European Restaurant  \n4                  Pool                   Pub                  Yoga Studio  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "import numpy as np\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\nneighborhoods_venues_sorted = pd.DataFrame(columns=columns)\nneighborhoods_venues_sorted['Neighborhood'] = df_grouped['Neighborhood']\n\nfor ind in np.arange(df_grouped.shape[0]):\n    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(df_grouped.iloc[ind, :], num_top_venues)\n\nneighborhoods_venues_sorted.head()"
        }, 
        {
            "execution_count": 51, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "execution_count": 51, 
                    "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>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>M1B</th>\n      <td>Scarborough</td>\n      <td>Rouge, Toronto, Malvern, Toronto</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>1.0</td>\n      <td>Fast Food Restaurant</td>\n      <td>Drugstore</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>M1C</th>\n      <td>Scarborough</td>\n      <td>Highland Creek (Toronto), Rouge Hill, Port Uni...</td>\n      <td>43.784535</td>\n      <td>-79.160497</td>\n      <td>0.0</td>\n      <td>Golf Course</td>\n      <td>Bar</td>\n      <td>Yoga Studio</td>\n      <td>Drugstore</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>M1E</th>\n      <td>Scarborough</td>\n      <td>Guildwood, Morningside, Toronto, West Hill, To...</td>\n      <td>43.763573</td>\n      <td>-79.188711</td>\n      <td>0.0</td>\n      <td>Medical Center</td>\n      <td>Electronics Store</td>\n      <td>Spa</td>\n      <td>Intersection</td>\n      <td>Pizza Place</td>\n      <td>Rental Car Location</td>\n      <td>Breakfast Spot</td>\n      <td>Mexican Restaurant</td>\n      <td>Dog Run</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>M1G</th>\n      <td>Scarborough</td>\n      <td>Woburn, Toronto</td>\n      <td>43.770992</td>\n      <td>-79.216917</td>\n      <td>0.0</td>\n      <td>Coffee Shop</td>\n      <td>Korean Restaurant</td>\n      <td>Insurance Office</td>\n      <td>Dumpling Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M1H</th>\n      <td>Scarborough</td>\n      <td>Cedarbrae</td>\n      <td>43.773136</td>\n      <td>-79.239476</td>\n      <td>0.0</td>\n      <td>Hakka Restaurant</td>\n      <td>Caribbean Restaurant</td>\n      <td>Bank</td>\n      <td>Bakery</td>\n      <td>Fried Chicken Joint</td>\n      <td>Thai Restaurant</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Coworking Space</td>\n      <td>Creperie</td>\n      <td>Falafel Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "         borough                                       neighborhood  \\\nM1B  Scarborough                   Rouge, Toronto, Malvern, Toronto   \nM1C  Scarborough  Highland Creek (Toronto), Rouge Hill, Port Uni...   \nM1E  Scarborough  Guildwood, Morningside, Toronto, West Hill, To...   \nM1G  Scarborough                                    Woburn, Toronto   \nM1H  Scarborough                                          Cedarbrae   \n\n      Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\nM1B  43.806686 -79.194353             1.0  Fast Food Restaurant   \nM1C  43.784535 -79.160497             0.0           Golf Course   \nM1E  43.763573 -79.188711             0.0        Medical Center   \nM1G  43.770992 -79.216917             0.0           Coffee Shop   \nM1H  43.773136 -79.239476             0.0      Hakka Restaurant   \n\n    2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\nM1B             Drugstore    Dim Sum Restaurant                 Diner   \nM1C                   Bar           Yoga Studio             Drugstore   \nM1E     Electronics Store                   Spa          Intersection   \nM1G     Korean Restaurant      Insurance Office   Dumpling Restaurant   \nM1H  Caribbean Restaurant                  Bank                Bakery   \n\n    5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\nM1B        Discount Store               Dog Run      Doner Restaurant   \nM1C                 Diner        Discount Store               Dog Run   \nM1E           Pizza Place   Rental Car Location        Breakfast Spot   \nM1G                 Diner        Discount Store               Dog Run   \nM1H   Fried Chicken Joint       Thai Restaurant    Athletics & Sports   \n\n    8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \nM1B            Donut Shop           Yoga Studio           Dessert Shop  \nM1C      Doner Restaurant            Donut Shop    Dumpling Restaurant  \nM1E    Mexican Restaurant               Dog Run                  Diner  \nM1G      Doner Restaurant            Donut Shop              Drugstore  \nM1H       Coworking Space              Creperie     Falafel Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# add clustering labels\nneighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n\n# manhattan_merged = manhattan_data\n\n# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\ndf_grouped_merged = df_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='neighborhood')\n\ndf_grouped_merged.head() # check the last columns!"
        }, 
        {
            "source": "display the different neighborhoods within their clusters in a map", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 76, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "execution_count": 76, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_56238d0957e040e4a1882cabce552df5 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_56238d0957e040e4a1882cabce552df5" ></div>
        
</body>
<script>    
    
            var map_56238d0957e040e4a1882cabce552df5 = L.map(
                "map_56238d0957e040e4a1882cabce552df5",
                {
                    center: [43.806686299999996, -79.19435340000001],
                    crs: L.CRS.EPSG3857,
                    zoom: 11,
                    preferCanvas: false,
                    zoomControl: true,
                }
            );

            

        
    
            var tile_layer_3e85f9e2c43947abbd2983e5dafa2fef = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
            var circle_marker_41ecf2277dfc4da98ecb86faf7d0799d = L.circleMarker(
                [43.806686299999996, -79.19435340000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_237cb6b015d04ae18c47af1c075f06a6 = L.popup({"maxWidth": "100%"});

        
            var html_40728b8fe71a462f8c7fb342cc91cf74 = $(`<div id="html_40728b8fe71a462f8c7fb342cc91cf74" style="width: 100.0%; height: 100.0%;">Rouge, Toronto, Malvern, Toronto Cluster 1.0</div>`)[0];
            popup_237cb6b015d04ae18c47af1c075f06a6.setContent(html_40728b8fe71a462f8c7fb342cc91cf74);
        

        circle_marker_41ecf2277dfc4da98ecb86faf7d0799d.bindPopup(popup_237cb6b015d04ae18c47af1c075f06a6)
        ;

        
    
    
            var circle_marker_569365c1b9ed49a0a4ae8943cf014b25 = L.circleMarker(
                [43.7845351, -79.16049709999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_960ef32090b84012bed1a8fb244bbbb9 = L.popup({"maxWidth": "100%"});

        
            var html_cb0446fa65834da0a244dc653fc5ba03 = $(`<div id="html_cb0446fa65834da0a244dc653fc5ba03" style="width: 100.0%; height: 100.0%;">Highland Creek (Toronto), Rouge Hill, Port Union, Toronto Cluster 0.0</div>`)[0];
            popup_960ef32090b84012bed1a8fb244bbbb9.setContent(html_cb0446fa65834da0a244dc653fc5ba03);
        

        circle_marker_569365c1b9ed49a0a4ae8943cf014b25.bindPopup(popup_960ef32090b84012bed1a8fb244bbbb9)
        ;

        
    
    
            var circle_marker_6fd98f6b4a904d548426fcd589d0098a = L.circleMarker(
                [43.7635726, -79.1887115],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_e37ace4e2b03433e89f94ad90dc4bba2 = L.popup({"maxWidth": "100%"});

        
            var html_3d0bd424c4094f7fbecbebacb94dd532 = $(`<div id="html_3d0bd424c4094f7fbecbebacb94dd532" style="width: 100.0%; height: 100.0%;">Guildwood, Morningside, Toronto, West Hill, Toronto Cluster 0.0</div>`)[0];
            popup_e37ace4e2b03433e89f94ad90dc4bba2.setContent(html_3d0bd424c4094f7fbecbebacb94dd532);
        

        circle_marker_6fd98f6b4a904d548426fcd589d0098a.bindPopup(popup_e37ace4e2b03433e89f94ad90dc4bba2)
        ;

        
    
    
            var circle_marker_e1bb73145fb44124a40e028c403c2a06 = L.circleMarker(
                [43.7709921, -79.21691740000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_9d2806c23e1643e68a5adc42ae993137 = L.popup({"maxWidth": "100%"});

        
            var html_9bcb09d16c6e422c924cf97f022453b3 = $(`<div id="html_9bcb09d16c6e422c924cf97f022453b3" style="width: 100.0%; height: 100.0%;">Woburn, Toronto Cluster 0.0</div>`)[0];
            popup_9d2806c23e1643e68a5adc42ae993137.setContent(html_9bcb09d16c6e422c924cf97f022453b3);
        

        circle_marker_e1bb73145fb44124a40e028c403c2a06.bindPopup(popup_9d2806c23e1643e68a5adc42ae993137)
        ;

        
    
    
            var circle_marker_b96d2687603e478dba1362112e4814a7 = L.circleMarker(
                [43.773136, -79.23947609999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_63eed9a45ee54de3af6596bf681e7e4d = L.popup({"maxWidth": "100%"});

        
            var html_e3d44d411ab84167bd9f139688d7cbf2 = $(`<div id="html_e3d44d411ab84167bd9f139688d7cbf2" style="width: 100.0%; height: 100.0%;">Cedarbrae Cluster 0.0</div>`)[0];
            popup_63eed9a45ee54de3af6596bf681e7e4d.setContent(html_e3d44d411ab84167bd9f139688d7cbf2);
        

        circle_marker_b96d2687603e478dba1362112e4814a7.bindPopup(popup_63eed9a45ee54de3af6596bf681e7e4d)
        ;

        
    
    
            var circle_marker_36e378bcaa6848f0b2b17a6e28f7083c = L.circleMarker(
                [43.7447342, -79.23947609999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_ba27b6c209a6432e8d0453ca9eeac5da = L.popup({"maxWidth": "100%"});

        
            var html_3514bacc5d884913a323d501c355d5a2 = $(`<div id="html_3514bacc5d884913a323d501c355d5a2" style="width: 100.0%; height: 100.0%;">Scarborough Village Cluster 0.0</div>`)[0];
            popup_ba27b6c209a6432e8d0453ca9eeac5da.setContent(html_3514bacc5d884913a323d501c355d5a2);
        

        circle_marker_36e378bcaa6848f0b2b17a6e28f7083c.bindPopup(popup_ba27b6c209a6432e8d0453ca9eeac5da)
        ;

        
    
    
            var circle_marker_43fae288487444a49b9e911356e24e6d = L.circleMarker(
                [43.7279292, -79.26202940000002],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_0b4ba21d7d094c4e81d6a055167e8077 = L.popup({"maxWidth": "100%"});

        
            var html_2bec1de73dae40b8aec965cda451cb8e = $(`<div id="html_2bec1de73dae40b8aec965cda451cb8e" style="width: 100.0%; height: 100.0%;">East Birchmount Park, Ionview, Kennedy Park, Toronto Cluster 0.0</div>`)[0];
            popup_0b4ba21d7d094c4e81d6a055167e8077.setContent(html_2bec1de73dae40b8aec965cda451cb8e);
        

        circle_marker_43fae288487444a49b9e911356e24e6d.bindPopup(popup_0b4ba21d7d094c4e81d6a055167e8077)
        ;

        
    
    
            var circle_marker_480d5f47a4ee41f5a14220b35def76f2 = L.circleMarker(
                [43.711111700000004, -79.2845772],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_26a508f024824694b1142b2eddf9eaca = L.popup({"maxWidth": "100%"});

        
            var html_6d7b337278984776bf22105a1522718b = $(`<div id="html_6d7b337278984776bf22105a1522718b" style="width: 100.0%; height: 100.0%;">Clairlea, Golden Mile, Toronto, Oakridge, Toronto Cluster 0.0</div>`)[0];
            popup_26a508f024824694b1142b2eddf9eaca.setContent(html_6d7b337278984776bf22105a1522718b);
        

        circle_marker_480d5f47a4ee41f5a14220b35def76f2.bindPopup(popup_26a508f024824694b1142b2eddf9eaca)
        ;

        
    
    
            var circle_marker_57b97f30bf7f4e15b341050e7036739d = L.circleMarker(
                [43.716316, -79.23947609999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_f1721f9160f24fb9a74ebc5f4d34372e = L.popup({"maxWidth": "100%"});

        
            var html_4d5639338596412fba118b20558de779 = $(`<div id="html_4d5639338596412fba118b20558de779" style="width: 100.0%; height: 100.0%;">Cliffcrest, Cliffside, Toronto, Scarborough Village West Cluster 0.0</div>`)[0];
            popup_f1721f9160f24fb9a74ebc5f4d34372e.setContent(html_4d5639338596412fba118b20558de779);
        

        circle_marker_57b97f30bf7f4e15b341050e7036739d.bindPopup(popup_f1721f9160f24fb9a74ebc5f4d34372e)
        ;

        
    
    
            var circle_marker_757555c305c445ef9f8944e025ec1297 = L.circleMarker(
                [43.692657000000004, -79.2648481],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_89eed6ba813b41adbefaac8823e2ff4b = L.popup({"maxWidth": "100%"});

        
            var html_fe26048984264e2aa4777e2287af9a1c = $(`<div id="html_fe26048984264e2aa4777e2287af9a1c" style="width: 100.0%; height: 100.0%;">Birch Cliff, Cliffside West Cluster 0.0</div>`)[0];
            popup_89eed6ba813b41adbefaac8823e2ff4b.setContent(html_fe26048984264e2aa4777e2287af9a1c);
        

        circle_marker_757555c305c445ef9f8944e025ec1297.bindPopup(popup_89eed6ba813b41adbefaac8823e2ff4b)
        ;

        
    
    
            var circle_marker_aa0fac90eb5e413888a5965fcf3ccdb4 = L.circleMarker(
                [43.7574096, -79.27330400000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_e82f70f9085f478c81b712d30787d292 = L.popup({"maxWidth": "100%"});

        
            var html_648da7e1dfc9428f9427001a6ab91583 = $(`<div id="html_648da7e1dfc9428f9427001a6ab91583" style="width: 100.0%; height: 100.0%;">Dorset Park, Scarborough Town Centre, Wexford Heights Cluster 0.0</div>`)[0];
            popup_e82f70f9085f478c81b712d30787d292.setContent(html_648da7e1dfc9428f9427001a6ab91583);
        

        circle_marker_aa0fac90eb5e413888a5965fcf3ccdb4.bindPopup(popup_e82f70f9085f478c81b712d30787d292)
        ;

        
    
    
            var circle_marker_3101f84d2f6743e8a4f8bfd4f8f43f4e = L.circleMarker(
                [43.750071500000004, -79.2958491],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_26cfcd6ffe514ec0a3bff2f5934b4965 = L.popup({"maxWidth": "100%"});

        
            var html_4eb1f040534944139d2ecd34feb40aac = $(`<div id="html_4eb1f040534944139d2ecd34feb40aac" style="width: 100.0%; height: 100.0%;">Maryvale, Toronto, Wexford, Toronto Cluster 0.0</div>`)[0];
            popup_26cfcd6ffe514ec0a3bff2f5934b4965.setContent(html_4eb1f040534944139d2ecd34feb40aac);
        

        circle_marker_3101f84d2f6743e8a4f8bfd4f8f43f4e.bindPopup(popup_26cfcd6ffe514ec0a3bff2f5934b4965)
        ;

        
    
    
            var circle_marker_e337f4cbf4ab4eb095241521f6762b9c = L.circleMarker(
                [43.7942003, -79.26202940000002],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_caf26dc0486a44b98e5be4ea098f7418 = L.popup({"maxWidth": "100%"});

        
            var html_e93ef7b599b840c8807f7d4fe7aca045 = $(`<div id="html_e93ef7b599b840c8807f7d4fe7aca045" style="width: 100.0%; height: 100.0%;">Agincourt, Toronto Cluster 0.0</div>`)[0];
            popup_caf26dc0486a44b98e5be4ea098f7418.setContent(html_e93ef7b599b840c8807f7d4fe7aca045);
        

        circle_marker_e337f4cbf4ab4eb095241521f6762b9c.bindPopup(popup_caf26dc0486a44b98e5be4ea098f7418)
        ;

        
    
    
            var circle_marker_b7295cfd71464e53b5e40d59c8526460 = L.circleMarker(
                [43.7816375, -79.3043021],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_4589bc2a7917498f9cdb6ce8b498cfdc = L.popup({"maxWidth": "100%"});

        
            var html_ec048aafc7ef44daa5cd58cb8fd8bc01 = $(`<div id="html_ec048aafc7ef44daa5cd58cb8fd8bc01" style="width: 100.0%; height: 100.0%;">Clarks Corners, Sullivan, Tam O&#39;Shanter – Sullivan Cluster 0.0</div>`)[0];
            popup_4589bc2a7917498f9cdb6ce8b498cfdc.setContent(html_ec048aafc7ef44daa5cd58cb8fd8bc01);
        

        circle_marker_b7295cfd71464e53b5e40d59c8526460.bindPopup(popup_4589bc2a7917498f9cdb6ce8b498cfdc)
        ;

        
    
    
            var circle_marker_b134845a77124ce7a0dfedad82f9bb30 = L.circleMarker(
                [43.8152522, -79.2845772],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_728f700d26e14e15a1a6fc2591e1044e = L.popup({"maxWidth": "100%"});

        
            var html_4a2bb93190ca4be791643460152ec98f = $(`<div id="html_4a2bb93190ca4be791643460152ec98f" style="width: 100.0%; height: 100.0%;">Agincourt North, L&#39;Amoreaux East, Milliken, Ontario, Steeles East Cluster 0.0</div>`)[0];
            popup_728f700d26e14e15a1a6fc2591e1044e.setContent(html_4a2bb93190ca4be791643460152ec98f);
        

        circle_marker_b134845a77124ce7a0dfedad82f9bb30.bindPopup(popup_728f700d26e14e15a1a6fc2591e1044e)
        ;

        
    
    
            var circle_marker_0e72f331175446fd9e924adee2ebaf5b = L.circleMarker(
                [43.799525200000005, -79.3183887],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_ed2de335c1924aa5a4ae9982ef3dcaa7 = L.popup({"maxWidth": "100%"});

        
            var html_5039de66e89e406aaec314bb90fc48ad = $(`<div id="html_5039de66e89e406aaec314bb90fc48ad" style="width: 100.0%; height: 100.0%;">L&#39;Amoreaux West Cluster 0.0</div>`)[0];
            popup_ed2de335c1924aa5a4ae9982ef3dcaa7.setContent(html_5039de66e89e406aaec314bb90fc48ad);
        

        circle_marker_0e72f331175446fd9e924adee2ebaf5b.bindPopup(popup_ed2de335c1924aa5a4ae9982ef3dcaa7)
        ;

        
    
    
            var circle_marker_c7bd325e40fc493e9a06e5b5b54d9712 = L.circleMarker(
                [43.8037622, -79.3634517],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_d1977e32e7dc48118d4718bfd17f3111 = L.popup({"maxWidth": "100%"});

        
            var html_e506f1a744224b3096e643e17d12f129 = $(`<div id="html_e506f1a744224b3096e643e17d12f129" style="width: 100.0%; height: 100.0%;">Hillcrest Village Cluster 0.0</div>`)[0];
            popup_d1977e32e7dc48118d4718bfd17f3111.setContent(html_e506f1a744224b3096e643e17d12f129);
        

        circle_marker_c7bd325e40fc493e9a06e5b5b54d9712.bindPopup(popup_d1977e32e7dc48118d4718bfd17f3111)
        ;

        
    
    
            var circle_marker_8ee3b7d1caac44ba94bdc148ba7937d6 = L.circleMarker(
                [43.7785175, -79.3465557],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_0c670561b35e4185b89181435e91bb63 = L.popup({"maxWidth": "100%"});

        
            var html_d30973159c1e4bb19a425ed91fe86c1e = $(`<div id="html_d30973159c1e4bb19a425ed91fe86c1e" style="width: 100.0%; height: 100.0%;">Fairview, Henry Farm, Oriole Cluster 0.0</div>`)[0];
            popup_0c670561b35e4185b89181435e91bb63.setContent(html_d30973159c1e4bb19a425ed91fe86c1e);
        

        circle_marker_8ee3b7d1caac44ba94bdc148ba7937d6.bindPopup(popup_0c670561b35e4185b89181435e91bb63)
        ;

        
    
    
            var circle_marker_513f664bbcec4a8caa68522337dbe3c3 = L.circleMarker(
                [43.7869473, -79.385975],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_ebcabca651844469b4665956f7a1501e = L.popup({"maxWidth": "100%"});

        
            var html_ba8ccf47dbf641ffaa24ab8648eb3dbb = $(`<div id="html_ba8ccf47dbf641ffaa24ab8648eb3dbb" style="width: 100.0%; height: 100.0%;">Bayview Village Cluster 0.0</div>`)[0];
            popup_ebcabca651844469b4665956f7a1501e.setContent(html_ba8ccf47dbf641ffaa24ab8648eb3dbb);
        

        circle_marker_513f664bbcec4a8caa68522337dbe3c3.bindPopup(popup_ebcabca651844469b4665956f7a1501e)
        ;

        
    
    
            var circle_marker_756bc890b0294e3fbfb7291cc93a78f5 = L.circleMarker(
                [43.7701199, -79.40849279999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_db48cc2b41094ec282876006589cb02f = L.popup({"maxWidth": "100%"});

        
            var html_5d917ab2468645a49574b70b6b003778 = $(`<div id="html_5d917ab2468645a49574b70b6b003778" style="width: 100.0%; height: 100.0%;">Willowdale South Cluster 0.0</div>`)[0];
            popup_db48cc2b41094ec282876006589cb02f.setContent(html_5d917ab2468645a49574b70b6b003778);
        

        circle_marker_756bc890b0294e3fbfb7291cc93a78f5.bindPopup(popup_db48cc2b41094ec282876006589cb02f)
        ;

        
    
    
            var circle_marker_a5cf4865e5fd481f84a3cdd0d60c6fa0 = L.circleMarker(
                [43.752758299999996, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_c143a925e6fb4ffca84cbffcbadea1d1 = L.popup({"maxWidth": "100%"});

        
            var html_f3ae7034fe8e40d0a4a488dba01c4cc5 = $(`<div id="html_f3ae7034fe8e40d0a4a488dba01c4cc5" style="width: 100.0%; height: 100.0%;">York Mills West Cluster 0.0</div>`)[0];
            popup_c143a925e6fb4ffca84cbffcbadea1d1.setContent(html_f3ae7034fe8e40d0a4a488dba01c4cc5);
        

        circle_marker_a5cf4865e5fd481f84a3cdd0d60c6fa0.bindPopup(popup_c143a925e6fb4ffca84cbffcbadea1d1)
        ;

        
    
    
            var circle_marker_e5c9e0d43efa4327a6e569af0687d72b = L.circleMarker(
                [43.7827364, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_11a94b58c064409c93d34f2f9d994bb0 = L.popup({"maxWidth": "100%"});

        
            var html_3717833072a743ff9526d3551a44c810 = $(`<div id="html_3717833072a743ff9526d3551a44c810" style="width: 100.0%; height: 100.0%;">Willowdale West Cluster 0.0</div>`)[0];
            popup_11a94b58c064409c93d34f2f9d994bb0.setContent(html_3717833072a743ff9526d3551a44c810);
        

        circle_marker_e5c9e0d43efa4327a6e569af0687d72b.bindPopup(popup_11a94b58c064409c93d34f2f9d994bb0)
        ;

        
    
    
            var circle_marker_59028f2cc9254c6388edc318886389a9 = L.circleMarker(
                [43.7532586, -79.3296565],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_51af8d5a4032490b985575a4c2f415b4 = L.popup({"maxWidth": "100%"});

        
            var html_b95842539b7949e581d28b4b795fcb7c = $(`<div id="html_b95842539b7949e581d28b4b795fcb7c" style="width: 100.0%; height: 100.0%;">Parkwoods Cluster 0.0</div>`)[0];
            popup_51af8d5a4032490b985575a4c2f415b4.setContent(html_b95842539b7949e581d28b4b795fcb7c);
        

        circle_marker_59028f2cc9254c6388edc318886389a9.bindPopup(popup_51af8d5a4032490b985575a4c2f415b4)
        ;

        
    
    
            var circle_marker_82ebc2c37e5f4fdca26b170141b7c25d = L.circleMarker(
                [43.745905799999996, -79.352188],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_5ed2fbeec5b042f9b6d8691586ee97bc = L.popup({"maxWidth": "100%"});

        
            var html_d46f3981bbca442ba71fc2b850e6fbc5 = $(`<div id="html_d46f3981bbca442ba71fc2b850e6fbc5" style="width: 100.0%; height: 100.0%;">Don Mills North Cluster 0.0</div>`)[0];
            popup_5ed2fbeec5b042f9b6d8691586ee97bc.setContent(html_d46f3981bbca442ba71fc2b850e6fbc5);
        

        circle_marker_82ebc2c37e5f4fdca26b170141b7c25d.bindPopup(popup_5ed2fbeec5b042f9b6d8691586ee97bc)
        ;

        
    
    
            var circle_marker_98cf042ccc7b47e193ff6c0cd496692b = L.circleMarker(
                [43.72589970000001, -79.340923],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_3a09ce6bab5f4a3b862778cc30f0cacf = L.popup({"maxWidth": "100%"});

        
            var html_66668580227f4cb49417513891fd6d7b = $(`<div id="html_66668580227f4cb49417513891fd6d7b" style="width: 100.0%; height: 100.0%;">Flemingdon Park, Don Mills South Cluster 0.0</div>`)[0];
            popup_3a09ce6bab5f4a3b862778cc30f0cacf.setContent(html_66668580227f4cb49417513891fd6d7b);
        

        circle_marker_98cf042ccc7b47e193ff6c0cd496692b.bindPopup(popup_3a09ce6bab5f4a3b862778cc30f0cacf)
        ;

        
    
    
            var circle_marker_a651b8b14d3544a3a0b34ef16831c83f = L.circleMarker(
                [43.7543283, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_5dc615bf8d764bf495b9d00b46c99dc3 = L.popup({"maxWidth": "100%"});

        
            var html_8c9289672761489ea32cea236546e0fd = $(`<div id="html_8c9289672761489ea32cea236546e0fd" style="width: 100.0%; height: 100.0%;">Bathurst Manor, Downsview North, Wilson Heights, Toronto Cluster 0.0</div>`)[0];
            popup_5dc615bf8d764bf495b9d00b46c99dc3.setContent(html_8c9289672761489ea32cea236546e0fd);
        

        circle_marker_a651b8b14d3544a3a0b34ef16831c83f.bindPopup(popup_5dc615bf8d764bf495b9d00b46c99dc3)
        ;

        
    
    
            var circle_marker_8269128ef5c14c03bff806d53f15d42b = L.circleMarker(
                [43.7679803, -79.48726190000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_624696e8cb424415954c24f5b55f1a04 = L.popup({"maxWidth": "100%"});

        
            var html_b23b63461a7946bd8cf8226930326657 = $(`<div id="html_b23b63461a7946bd8cf8226930326657" style="width: 100.0%; height: 100.0%;">Northwood Park, York University Cluster 0.0</div>`)[0];
            popup_624696e8cb424415954c24f5b55f1a04.setContent(html_b23b63461a7946bd8cf8226930326657);
        

        circle_marker_8269128ef5c14c03bff806d53f15d42b.bindPopup(popup_624696e8cb424415954c24f5b55f1a04)
        ;

        
    
    
            var circle_marker_5ee6c1e911bd47648e6d490b29cbbfc2 = L.circleMarker(
                [43.737473200000004, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_a306aa2e1fcb424d9a7331099aac797d = L.popup({"maxWidth": "100%"});

        
            var html_5e2d477715294f99b743e5ddfe48f3e0 = $(`<div id="html_5e2d477715294f99b743e5ddfe48f3e0" style="width: 100.0%; height: 100.0%;">CFB Toronto, Downsview East Cluster 2.0</div>`)[0];
            popup_a306aa2e1fcb424d9a7331099aac797d.setContent(html_5e2d477715294f99b743e5ddfe48f3e0);
        

        circle_marker_5ee6c1e911bd47648e6d490b29cbbfc2.bindPopup(popup_a306aa2e1fcb424d9a7331099aac797d)
        ;

        
    
    
            var circle_marker_25e4c72a824c47f0a28ab56a9a702312 = L.circleMarker(
                [43.7390146, -79.5069436],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_0b530697bc3e4078ac80a5843ce240c2 = L.popup({"maxWidth": "100%"});

        
            var html_c7bc8134a07f4b18a768d76814d998ed = $(`<div id="html_c7bc8134a07f4b18a768d76814d998ed" style="width: 100.0%; height: 100.0%;">Downsview Cluster 0.0</div>`)[0];
            popup_0b530697bc3e4078ac80a5843ce240c2.setContent(html_c7bc8134a07f4b18a768d76814d998ed);
        

        circle_marker_25e4c72a824c47f0a28ab56a9a702312.bindPopup(popup_0b530697bc3e4078ac80a5843ce240c2)
        ;

        
    
    
            var circle_marker_f88f354461dc474badbb2c07073e401c = L.circleMarker(
                [43.7284964, -79.49569740000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_771fc80c1e8b413f9dd88a04923cb45a = L.popup({"maxWidth": "100%"});

        
            var html_1f2a010affef4809be1c23769afadd97 = $(`<div id="html_1f2a010affef4809be1c23769afadd97" style="width: 100.0%; height: 100.0%;">Downsview Central Cluster 0.0</div>`)[0];
            popup_771fc80c1e8b413f9dd88a04923cb45a.setContent(html_1f2a010affef4809be1c23769afadd97);
        

        circle_marker_f88f354461dc474badbb2c07073e401c.bindPopup(popup_771fc80c1e8b413f9dd88a04923cb45a)
        ;

        
    
    
            var circle_marker_5e87d00dcaa14b939bf753d95d8e99f6 = L.circleMarker(
                [43.7616313, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_cff9001792b241c197962b2a5845b4ba = L.popup({"maxWidth": "100%"});

        
            var html_c55070c871e84cad912842eb8c566646 = $(`<div id="html_c55070c871e84cad912842eb8c566646" style="width: 100.0%; height: 100.0%;">Downsview Northwest Cluster 0.0</div>`)[0];
            popup_cff9001792b241c197962b2a5845b4ba.setContent(html_c55070c871e84cad912842eb8c566646);
        

        circle_marker_5e87d00dcaa14b939bf753d95d8e99f6.bindPopup(popup_cff9001792b241c197962b2a5845b4ba)
        ;

        
    
    
            var circle_marker_7962aa0341644946bffb2e581859ea7f = L.circleMarker(
                [43.725882299999995, -79.31557159999998],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_25c4806f810345cf978f9c959478bf2b = L.popup({"maxWidth": "100%"});

        
            var html_310474c8c6f44fd3acca18e7b3bc2ead = $(`<div id="html_310474c8c6f44fd3acca18e7b3bc2ead" style="width: 100.0%; height: 100.0%;">Victoria Village Cluster 0.0</div>`)[0];
            popup_25c4806f810345cf978f9c959478bf2b.setContent(html_310474c8c6f44fd3acca18e7b3bc2ead);
        

        circle_marker_7962aa0341644946bffb2e581859ea7f.bindPopup(popup_25c4806f810345cf978f9c959478bf2b)
        ;

        
    
    
            var circle_marker_f1f9c0112740439695f114f3fdfe12db = L.circleMarker(
                [43.7063972, -79.309937],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_69962deaca754326bde87516c52f71f5 = L.popup({"maxWidth": "100%"});

        
            var html_d616cd3539aa4cf2b4f1eba0abdd13aa = $(`<div id="html_d616cd3539aa4cf2b4f1eba0abdd13aa" style="width: 100.0%; height: 100.0%;">Woodbine Gardens, Parkview Hill Cluster 0.0</div>`)[0];
            popup_69962deaca754326bde87516c52f71f5.setContent(html_d616cd3539aa4cf2b4f1eba0abdd13aa);
        

        circle_marker_f1f9c0112740439695f114f3fdfe12db.bindPopup(popup_69962deaca754326bde87516c52f71f5)
        ;

        
    
    
            var circle_marker_733e7e7776114f1f9d9d80a0ffc6b2fc = L.circleMarker(
                [43.695343900000005, -79.3183887],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_401cdd2ec61e43eb937bc9c8d13ca49b = L.popup({"maxWidth": "100%"});

        
            var html_38253b0aebc342b29f26b85118d61dea = $(`<div id="html_38253b0aebc342b29f26b85118d61dea" style="width: 100.0%; height: 100.0%;">Woodbine Heights Cluster 0.0</div>`)[0];
            popup_401cdd2ec61e43eb937bc9c8d13ca49b.setContent(html_38253b0aebc342b29f26b85118d61dea);
        

        circle_marker_733e7e7776114f1f9d9d80a0ffc6b2fc.bindPopup(popup_401cdd2ec61e43eb937bc9c8d13ca49b)
        ;

        
    
    
            var circle_marker_b57b177ace264d84aba8a9d98bc0aa02 = L.circleMarker(
                [43.67635739999999, -79.2930312],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_21100a2e62e54146a0ba96dbb7ead11b = L.popup({"maxWidth": "100%"});

        
            var html_7cfe99c8d49f4e258a242072e8587af6 = $(`<div id="html_7cfe99c8d49f4e258a242072e8587af6" style="width: 100.0%; height: 100.0%;">The Beaches Cluster 0.0</div>`)[0];
            popup_21100a2e62e54146a0ba96dbb7ead11b.setContent(html_7cfe99c8d49f4e258a242072e8587af6);
        

        circle_marker_b57b177ace264d84aba8a9d98bc0aa02.bindPopup(popup_21100a2e62e54146a0ba96dbb7ead11b)
        ;

        
    
    
            var circle_marker_17bc597594de4f729538abfa15fd79bd = L.circleMarker(
                [43.7090604, -79.3634517],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_867c1f9673be4bc695e9b9fe66ae7aba = L.popup({"maxWidth": "100%"});

        
            var html_03680d9fa5294eebb906031aac1c72d8 = $(`<div id="html_03680d9fa5294eebb906031aac1c72d8" style="width: 100.0%; height: 100.0%;">Leaside Cluster 0.0</div>`)[0];
            popup_867c1f9673be4bc695e9b9fe66ae7aba.setContent(html_03680d9fa5294eebb906031aac1c72d8);
        

        circle_marker_17bc597594de4f729538abfa15fd79bd.bindPopup(popup_867c1f9673be4bc695e9b9fe66ae7aba)
        ;

        
    
    
            var circle_marker_5caae0ba6bf646c9a83c73e5556e5b7b = L.circleMarker(
                [43.7053689, -79.34937190000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_6c4cf4f9deb24b83a4a3ff52cbc93374 = L.popup({"maxWidth": "100%"});

        
            var html_18c930eac7264af5a103ffbcd7ecf302 = $(`<div id="html_18c930eac7264af5a103ffbcd7ecf302" style="width: 100.0%; height: 100.0%;">Thorncliffe Park Cluster 0.0</div>`)[0];
            popup_6c4cf4f9deb24b83a4a3ff52cbc93374.setContent(html_18c930eac7264af5a103ffbcd7ecf302);
        

        circle_marker_5caae0ba6bf646c9a83c73e5556e5b7b.bindPopup(popup_6c4cf4f9deb24b83a4a3ff52cbc93374)
        ;

        
    
    
            var circle_marker_ab9023ae6c0448ebad747600f5a1ab58 = L.circleMarker(
                [43.685347, -79.3381065],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_ffaf106e5ca7443b9b377bae203fdb51 = L.popup({"maxWidth": "100%"});

        
            var html_0f668f22508446879594f69c20c2b886 = $(`<div id="html_0f668f22508446879594f69c20c2b886" style="width: 100.0%; height: 100.0%;">East Toronto Cluster 0.0</div>`)[0];
            popup_ffaf106e5ca7443b9b377bae203fdb51.setContent(html_0f668f22508446879594f69c20c2b886);
        

        circle_marker_ab9023ae6c0448ebad747600f5a1ab58.bindPopup(popup_ffaf106e5ca7443b9b377bae203fdb51)
        ;

        
    
    
            var circle_marker_730bd0d8a3c94ddb9de291f6c458705d = L.circleMarker(
                [43.6795571, -79.352188],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_337e146e59aa4f38ac723c42ff5c637f = L.popup({"maxWidth": "100%"});

        
            var html_9c01b8bacb824b46ba73dd237d1e395f = $(`<div id="html_9c01b8bacb824b46ba73dd237d1e395f" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale, Toronto Cluster 0.0</div>`)[0];
            popup_337e146e59aa4f38ac723c42ff5c637f.setContent(html_9c01b8bacb824b46ba73dd237d1e395f);
        

        circle_marker_730bd0d8a3c94ddb9de291f6c458705d.bindPopup(popup_337e146e59aa4f38ac723c42ff5c637f)
        ;

        
    
    
            var circle_marker_af38797a296c4a48b3917e9c50befa8d = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_6a65e80b1e014cbab1706b259a0ee0dc = L.popup({"maxWidth": "100%"});

        
            var html_5369c508b67849b2a1f0898c17c402c3 = $(`<div id="html_5369c508b67849b2a1f0898c17c402c3" style="width: 100.0%; height: 100.0%;">The Beaches West, India Bazaar Cluster 0.0</div>`)[0];
            popup_6a65e80b1e014cbab1706b259a0ee0dc.setContent(html_5369c508b67849b2a1f0898c17c402c3);
        

        circle_marker_af38797a296c4a48b3917e9c50befa8d.bindPopup(popup_6a65e80b1e014cbab1706b259a0ee0dc)
        ;

        
    
    
            var circle_marker_8cf78385a5a84d42864f6e126f5e93ec = L.circleMarker(
                [43.6595255, -79.340923],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_045ecb38a50f45f3bc380d02537d05e8 = L.popup({"maxWidth": "100%"});

        
            var html_d1d13dace45c4211bed9db5dead20359 = $(`<div id="html_d1d13dace45c4211bed9db5dead20359" style="width: 100.0%; height: 100.0%;">Studio District Cluster 0.0</div>`)[0];
            popup_045ecb38a50f45f3bc380d02537d05e8.setContent(html_d1d13dace45c4211bed9db5dead20359);
        

        circle_marker_8cf78385a5a84d42864f6e126f5e93ec.bindPopup(popup_045ecb38a50f45f3bc380d02537d05e8)
        ;

        
    
    
            var circle_marker_8e2c94417c4746edad2ab9a5b371245d = L.circleMarker(
                [43.7280205, -79.3887901],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_f2630faa085849b08f8a9d7b3bf91dd8 = L.popup({"maxWidth": "100%"});

        
            var html_e879e1485e044b59984a62ef1008e485 = $(`<div id="html_e879e1485e044b59984a62ef1008e485" style="width: 100.0%; height: 100.0%;">Lawrence Park, Toronto Cluster 0.0</div>`)[0];
            popup_f2630faa085849b08f8a9d7b3bf91dd8.setContent(html_e879e1485e044b59984a62ef1008e485);
        

        circle_marker_8e2c94417c4746edad2ab9a5b371245d.bindPopup(popup_f2630faa085849b08f8a9d7b3bf91dd8)
        ;

        
    
    
            var circle_marker_cbb488114cab46b885559a69926f28a4 = L.circleMarker(
                [43.7127511, -79.3901975],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_8143560f13004ae1a7ef39dfec924108 = L.popup({"maxWidth": "100%"});

        
            var html_7faf85971c944ec1bc6b6bb288559613 = $(`<div id="html_7faf85971c944ec1bc6b6bb288559613" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 0.0</div>`)[0];
            popup_8143560f13004ae1a7ef39dfec924108.setContent(html_7faf85971c944ec1bc6b6bb288559613);
        

        circle_marker_cbb488114cab46b885559a69926f28a4.bindPopup(popup_8143560f13004ae1a7ef39dfec924108)
        ;

        
    
    
            var circle_marker_61d2e3642e934524b9216fa34ae13b15 = L.circleMarker(
                [43.7153834, -79.40567840000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_e8cf91c233d447bf84a66f93ef033bf6 = L.popup({"maxWidth": "100%"});

        
            var html_d96a4d67e5a74276b77cf0aead6b1d4c = $(`<div id="html_d96a4d67e5a74276b77cf0aead6b1d4c" style="width: 100.0%; height: 100.0%;">North Toronto West Cluster 0.0</div>`)[0];
            popup_e8cf91c233d447bf84a66f93ef033bf6.setContent(html_d96a4d67e5a74276b77cf0aead6b1d4c);
        

        circle_marker_61d2e3642e934524b9216fa34ae13b15.bindPopup(popup_e8cf91c233d447bf84a66f93ef033bf6)
        ;

        
    
    
            var circle_marker_72ddea3e7a82473db812e5e1a2c16a12 = L.circleMarker(
                [43.7043244, -79.3887901],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_3a8224a58b8848c298cc535f7f5078fa = L.popup({"maxWidth": "100%"});

        
            var html_e59892e51aca4a71b63424e8ac8bd4f0 = $(`<div id="html_e59892e51aca4a71b63424e8ac8bd4f0" style="width: 100.0%; height: 100.0%;">Davisville Cluster 0.0</div>`)[0];
            popup_3a8224a58b8848c298cc535f7f5078fa.setContent(html_e59892e51aca4a71b63424e8ac8bd4f0);
        

        circle_marker_72ddea3e7a82473db812e5e1a2c16a12.bindPopup(popup_3a8224a58b8848c298cc535f7f5078fa)
        ;

        
    
    
            var circle_marker_a1865613e7774b7e8a70f4f19a8ea986 = L.circleMarker(
                [43.6895743, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_5a7269c5f07943dfbfa3f85f01258782 = L.popup({"maxWidth": "100%"});

        
            var html_2c805ab651d34e55908636c8c33f0f1a = $(`<div id="html_2c805ab651d34e55908636c8c33f0f1a" style="width: 100.0%; height: 100.0%;">Moore Park, Toronto, Summerhill East Cluster 0.0</div>`)[0];
            popup_5a7269c5f07943dfbfa3f85f01258782.setContent(html_2c805ab651d34e55908636c8c33f0f1a);
        

        circle_marker_a1865613e7774b7e8a70f4f19a8ea986.bindPopup(popup_5a7269c5f07943dfbfa3f85f01258782)
        ;

        
    
    
            var circle_marker_691e4909c4944bbc9e562ee17372e070 = L.circleMarker(
                [43.68641229999999, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_bf08a3ee75fd4a0bb3522a13220e9590 = L.popup({"maxWidth": "100%"});

        
            var html_4ecb672eda664e8a90ead9c704f0cd63 = $(`<div id="html_4ecb672eda664e8a90ead9c704f0cd63" style="width: 100.0%; height: 100.0%;">Deer Park, Toronto, Forest Hill SE, Rathnelly, South Hill, Toronto, Summerhill West Cluster 0.0</div>`)[0];
            popup_bf08a3ee75fd4a0bb3522a13220e9590.setContent(html_4ecb672eda664e8a90ead9c704f0cd63);
        

        circle_marker_691e4909c4944bbc9e562ee17372e070.bindPopup(popup_bf08a3ee75fd4a0bb3522a13220e9590)
        ;

        
    
    
            var circle_marker_ebc991fe27464e73ac876a3f08cdb076 = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_500992acb65549138cf2aa16a5482f85 = L.popup({"maxWidth": "100%"});

        
            var html_6753ff1ff3ea4fa19bcaa6da4485da43 = $(`<div id="html_6753ff1ff3ea4fa19bcaa6da4485da43" style="width: 100.0%; height: 100.0%;">Rosedale, Toronto Cluster 2.0</div>`)[0];
            popup_500992acb65549138cf2aa16a5482f85.setContent(html_6753ff1ff3ea4fa19bcaa6da4485da43);
        

        circle_marker_ebc991fe27464e73ac876a3f08cdb076.bindPopup(popup_500992acb65549138cf2aa16a5482f85)
        ;

        
    
    
            var circle_marker_860d5376abe74cb5a190b4b7d9538bc0 = L.circleMarker(
                [43.667967, -79.3676753],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_ee99bf433a7749149b7845591f9cd5ab = L.popup({"maxWidth": "100%"});

        
            var html_8acfbcd5939e4bc2ad4a62bc74dda0ee = $(`<div id="html_8acfbcd5939e4bc2ad4a62bc74dda0ee" style="width: 100.0%; height: 100.0%;">Cabbagetown, Toronto, St. James Town Cluster 0.0</div>`)[0];
            popup_ee99bf433a7749149b7845591f9cd5ab.setContent(html_8acfbcd5939e4bc2ad4a62bc74dda0ee);
        

        circle_marker_860d5376abe74cb5a190b4b7d9538bc0.bindPopup(popup_ee99bf433a7749149b7845591f9cd5ab)
        ;

        
    
    
            var circle_marker_a1c7fcf268114b15883fa4b469efefbf = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_5d645014e4e54d4ea795a81738c4c698 = L.popup({"maxWidth": "100%"});

        
            var html_390fc5ab2c494b62808a5ceae6955216 = $(`<div id="html_390fc5ab2c494b62808a5ceae6955216" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 0.0</div>`)[0];
            popup_5d645014e4e54d4ea795a81738c4c698.setContent(html_390fc5ab2c494b62808a5ceae6955216);
        

        circle_marker_a1c7fcf268114b15883fa4b469efefbf.bindPopup(popup_5d645014e4e54d4ea795a81738c4c698)
        ;

        
    
    
            var circle_marker_49fb2d36fe5b4623b2d3ab30b8c9251b = L.circleMarker(
                [43.6542599, -79.3606359],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_2fb81e5f62b64ccfa35f4c5c544eda40 = L.popup({"maxWidth": "100%"});

        
            var html_9749356e8e5144038eb998b93416ac11 = $(`<div id="html_9749356e8e5144038eb998b93416ac11" style="width: 100.0%; height: 100.0%;">Harbourfront (Toronto), Regent Park Cluster 0.0</div>`)[0];
            popup_2fb81e5f62b64ccfa35f4c5c544eda40.setContent(html_9749356e8e5144038eb998b93416ac11);
        

        circle_marker_49fb2d36fe5b4623b2d3ab30b8c9251b.bindPopup(popup_2fb81e5f62b64ccfa35f4c5c544eda40)
        ;

        
    
    
            var circle_marker_e518e5e2e17041a597bf6deb7d6afa69 = L.circleMarker(
                [43.6571618, -79.37893709999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_fd7d42d7ee4d4403af5cdea697f48bf8 = L.popup({"maxWidth": "100%"});

        
            var html_2dd56a06771b4bc5b1f74d48a0417ca5 = $(`<div id="html_2dd56a06771b4bc5b1f74d48a0417ca5" style="width: 100.0%; height: 100.0%;">Ryerson, Garden District Cluster 0.0</div>`)[0];
            popup_fd7d42d7ee4d4403af5cdea697f48bf8.setContent(html_2dd56a06771b4bc5b1f74d48a0417ca5);
        

        circle_marker_e518e5e2e17041a597bf6deb7d6afa69.bindPopup(popup_fd7d42d7ee4d4403af5cdea697f48bf8)
        ;

        
    
    
            var circle_marker_61cfb3e930c94137951fb6ff189ee473 = L.circleMarker(
                [43.6514939, -79.3754179],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_4f88b2a91f754800acb497548fa72150 = L.popup({"maxWidth": "100%"});

        
            var html_9f354c5aee7845f7811a20207e151a8a = $(`<div id="html_9f354c5aee7845f7811a20207e151a8a" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 0.0</div>`)[0];
            popup_4f88b2a91f754800acb497548fa72150.setContent(html_9f354c5aee7845f7811a20207e151a8a);
        

        circle_marker_61cfb3e930c94137951fb6ff189ee473.bindPopup(popup_4f88b2a91f754800acb497548fa72150)
        ;

        
    
    
            var circle_marker_131cf90e63344e82aa8102fe96aff6f9 = L.circleMarker(
                [43.644770799999996, -79.3733064],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_c343e799c48b4c6a8bf31343333a7167 = L.popup({"maxWidth": "100%"});

        
            var html_1a580a0d8aa7496389af412f2680d6b5 = $(`<div id="html_1a580a0d8aa7496389af412f2680d6b5" style="width: 100.0%; height: 100.0%;">Berczy Park Cluster 0.0</div>`)[0];
            popup_c343e799c48b4c6a8bf31343333a7167.setContent(html_1a580a0d8aa7496389af412f2680d6b5);
        

        circle_marker_131cf90e63344e82aa8102fe96aff6f9.bindPopup(popup_c343e799c48b4c6a8bf31343333a7167)
        ;

        
    
    
            var circle_marker_67e192ce64cc4d3abce713857321a455 = L.circleMarker(
                [43.6579524, -79.3873826],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_24aee6ac62ab486fbd303d126d08265c = L.popup({"maxWidth": "100%"});

        
            var html_8e144c5297e5477395831fe2aef1e064 = $(`<div id="html_8e144c5297e5477395831fe2aef1e064" style="width: 100.0%; height: 100.0%;">Central Bay Street Cluster 0.0</div>`)[0];
            popup_24aee6ac62ab486fbd303d126d08265c.setContent(html_8e144c5297e5477395831fe2aef1e064);
        

        circle_marker_67e192ce64cc4d3abce713857321a455.bindPopup(popup_24aee6ac62ab486fbd303d126d08265c)
        ;

        
    
    
            var circle_marker_ec6dfeeaa07541a8a6c8ebab0550a83c = L.circleMarker(
                [43.65057120000001, -79.3845675],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_97c6d17ae38c45ee86f2cb49bcdaed08 = L.popup({"maxWidth": "100%"});

        
            var html_d59f325c5ab04581bc87303d0f0d0c11 = $(`<div id="html_d59f325c5ab04581bc87303d0f0d0c11" style="width: 100.0%; height: 100.0%;">Adelaide, King, Richmond Cluster 0.0</div>`)[0];
            popup_97c6d17ae38c45ee86f2cb49bcdaed08.setContent(html_d59f325c5ab04581bc87303d0f0d0c11);
        

        circle_marker_ec6dfeeaa07541a8a6c8ebab0550a83c.bindPopup(popup_97c6d17ae38c45ee86f2cb49bcdaed08)
        ;

        
    
    
            var circle_marker_ce1bb42d1ae2434c8e814b445962c73b = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_a1c37346dff44bf1b3fed05591b0446f = L.popup({"maxWidth": "100%"});

        
            var html_0237a168d9b74ce19025d72ee714ecbc = $(`<div id="html_0237a168d9b74ce19025d72ee714ecbc" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station (Toronto) Cluster 0.0</div>`)[0];
            popup_a1c37346dff44bf1b3fed05591b0446f.setContent(html_0237a168d9b74ce19025d72ee714ecbc);
        

        circle_marker_ce1bb42d1ae2434c8e814b445962c73b.bindPopup(popup_a1c37346dff44bf1b3fed05591b0446f)
        ;

        
    
    
            var circle_marker_0c423c29f7a343c191a36461c2462e2b = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_849ab83487b446e0bf497b51b60646cb = L.popup({"maxWidth": "100%"});

        
            var html_b6b2e8962bed4693b1434abba22f7c9d = $(`<div id="html_b6b2e8962bed4693b1434abba22f7c9d" style="width: 100.0%; height: 100.0%;">Design Exchange, Toronto Dominion Centre Cluster 0.0</div>`)[0];
            popup_849ab83487b446e0bf497b51b60646cb.setContent(html_b6b2e8962bed4693b1434abba22f7c9d);
        

        circle_marker_0c423c29f7a343c191a36461c2462e2b.bindPopup(popup_849ab83487b446e0bf497b51b60646cb)
        ;

        
    
    
            var circle_marker_8fe8a95aa8864b80b9c868c34a6e3ad6 = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_9cee292dab0c482aafa4198b3132f053 = L.popup({"maxWidth": "100%"});

        
            var html_46e0ae19095141eea007cfd67a31a7d5 = $(`<div id="html_46e0ae19095141eea007cfd67a31a7d5" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 0.0</div>`)[0];
            popup_9cee292dab0c482aafa4198b3132f053.setContent(html_46e0ae19095141eea007cfd67a31a7d5);
        

        circle_marker_8fe8a95aa8864b80b9c868c34a6e3ad6.bindPopup(popup_9cee292dab0c482aafa4198b3132f053)
        ;

        
    
    
            var circle_marker_62cafa15273e49179eddbdf43f02e0eb = L.circleMarker(
                [43.7332825, -79.4197497],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_f27ea44a5d8746ddb87518001b5a925e = L.popup({"maxWidth": "100%"});

        
            var html_d1cc4d08670444c482847ecb55286a87 = $(`<div id="html_d1cc4d08670444c482847ecb55286a87" style="width: 100.0%; height: 100.0%;">Bedford Park, Toronto, Lawrence Manor East Cluster 0.0</div>`)[0];
            popup_f27ea44a5d8746ddb87518001b5a925e.setContent(html_d1cc4d08670444c482847ecb55286a87);
        

        circle_marker_62cafa15273e49179eddbdf43f02e0eb.bindPopup(popup_f27ea44a5d8746ddb87518001b5a925e)
        ;

        
    
    
            var circle_marker_8b228b7ae1424aba9906772e1d36c557 = L.circleMarker(
                [43.7116948, -79.41693559999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_2e374e0f622a483aa1be089f40d415bc = L.popup({"maxWidth": "100%"});

        
            var html_598d750195f645099712f4181c4dd1fb = $(`<div id="html_598d750195f645099712f4181c4dd1fb" style="width: 100.0%; height: 100.0%;">Roselawn Cluster 0.0</div>`)[0];
            popup_2e374e0f622a483aa1be089f40d415bc.setContent(html_598d750195f645099712f4181c4dd1fb);
        

        circle_marker_8b228b7ae1424aba9906772e1d36c557.bindPopup(popup_2e374e0f622a483aa1be089f40d415bc)
        ;

        
    
    
            var circle_marker_56b1ef081720416f8160389070788884 = L.circleMarker(
                [43.6969476, -79.41130720000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_86bc0d7c91f745338f4f503e90d90a69 = L.popup({"maxWidth": "100%"});

        
            var html_4269d5589d3f4e8fbb74cd73a7a39e34 = $(`<div id="html_4269d5589d3f4e8fbb74cd73a7a39e34" style="width: 100.0%; height: 100.0%;">Forest Hill North, Forest Hill West Cluster 0.0</div>`)[0];
            popup_86bc0d7c91f745338f4f503e90d90a69.setContent(html_4269d5589d3f4e8fbb74cd73a7a39e34);
        

        circle_marker_56b1ef081720416f8160389070788884.bindPopup(popup_86bc0d7c91f745338f4f503e90d90a69)
        ;

        
    
    
            var circle_marker_52799bd15fa64b7eb19ba1b3beed94c2 = L.circleMarker(
                [43.6727097, -79.40567840000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_f0278c709bfd4d8494bbcef2ff181109 = L.popup({"maxWidth": "100%"});

        
            var html_1ccc9d9cd7544f39b9748ee82c539346 = $(`<div id="html_1ccc9d9cd7544f39b9748ee82c539346" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville, Toronto Cluster 0.0</div>`)[0];
            popup_f0278c709bfd4d8494bbcef2ff181109.setContent(html_1ccc9d9cd7544f39b9748ee82c539346);
        

        circle_marker_52799bd15fa64b7eb19ba1b3beed94c2.bindPopup(popup_f0278c709bfd4d8494bbcef2ff181109)
        ;

        
    
    
            var circle_marker_7bac531d96554e8faf011093410a53db = L.circleMarker(
                [43.6626956, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_3fc50c9106984150952c7c3f8c38d9ca = L.popup({"maxWidth": "100%"});

        
            var html_3898da93be204cc7afcb44db3d5047ba = $(`<div id="html_3898da93be204cc7afcb44db3d5047ba" style="width: 100.0%; height: 100.0%;">Harbord, University of Toronto Cluster 0.0</div>`)[0];
            popup_3fc50c9106984150952c7c3f8c38d9ca.setContent(html_3898da93be204cc7afcb44db3d5047ba);
        

        circle_marker_7bac531d96554e8faf011093410a53db.bindPopup(popup_3fc50c9106984150952c7c3f8c38d9ca)
        ;

        
    
    
            var circle_marker_adb65d223d674ac6b0dcfc53e3c17574 = L.circleMarker(
                [43.6532057, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_977fdc13a17145589b6652ddd6331350 = L.popup({"maxWidth": "100%"});

        
            var html_673754f5c08a47c9877d4f435ea686ba = $(`<div id="html_673754f5c08a47c9877d4f435ea686ba" style="width: 100.0%; height: 100.0%;">Chinatown, Toronto, Grange Park (Toronto), Kensington Market Cluster 0.0</div>`)[0];
            popup_977fdc13a17145589b6652ddd6331350.setContent(html_673754f5c08a47c9877d4f435ea686ba);
        

        circle_marker_adb65d223d674ac6b0dcfc53e3c17574.bindPopup(popup_977fdc13a17145589b6652ddd6331350)
        ;

        
    
    
            var circle_marker_a09aa9b64800422cb786c3007d048fe2 = L.circleMarker(
                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_5578aca1d3a5417aad83d9c33b4ca078 = L.popup({"maxWidth": "100%"});

        
            var html_602afb6d2aa149cf95da655f8747f514 = $(`<div id="html_602afb6d2aa149cf95da655f8747f514" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara Cluster 0.0</div>`)[0];
            popup_5578aca1d3a5417aad83d9c33b4ca078.setContent(html_602afb6d2aa149cf95da655f8747f514);
        

        circle_marker_a09aa9b64800422cb786c3007d048fe2.bindPopup(popup_5578aca1d3a5417aad83d9c33b4ca078)
        ;

        
    
    
            var circle_marker_2c481583a27142e0bb5723d153d0b542 = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_17ea63eb8130478e819dba31293bce65 = L.popup({"maxWidth": "100%"});

        
            var html_0b36a9cd780b4c1d897358513e3179ae = $(`<div id="html_0b36a9cd780b4c1d897358513e3179ae" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade Cluster 0.0</div>`)[0];
            popup_17ea63eb8130478e819dba31293bce65.setContent(html_0b36a9cd780b4c1d897358513e3179ae);
        

        circle_marker_2c481583a27142e0bb5723d153d0b542.bindPopup(popup_17ea63eb8130478e819dba31293bce65)
        ;

        
    
    
            var circle_marker_c18ce59ea6e04559a56f01537462abb3 = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_4981dde1d9c94e52b839359433f9966e = L.popup({"maxWidth": "100%"});

        
            var html_9d20146556034230a56ce3e1f3c54cdf = $(`<div id="html_9d20146556034230a56ce3e1f3c54cdf" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 0.0</div>`)[0];
            popup_4981dde1d9c94e52b839359433f9966e.setContent(html_9d20146556034230a56ce3e1f3c54cdf);
        

        circle_marker_c18ce59ea6e04559a56f01537462abb3.bindPopup(popup_4981dde1d9c94e52b839359433f9966e)
        ;

        
    
    
            var circle_marker_0e969d4cf74d4de0822bd1172e16bfc4 = L.circleMarker(
                [43.718517999999996, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_b9e55ff986ac4eefbc72fde4b3b54032 = L.popup({"maxWidth": "100%"});

        
            var html_3e8427fcb13b4d85aab504424b0cf48c = $(`<div id="html_3e8427fcb13b4d85aab504424b0cf48c" style="width: 100.0%; height: 100.0%;">Lawrence Heights, Lawrence Manor Cluster 0.0</div>`)[0];
            popup_b9e55ff986ac4eefbc72fde4b3b54032.setContent(html_3e8427fcb13b4d85aab504424b0cf48c);
        

        circle_marker_0e969d4cf74d4de0822bd1172e16bfc4.bindPopup(popup_b9e55ff986ac4eefbc72fde4b3b54032)
        ;

        
    
    
            var circle_marker_1edce57956a14fa1b11b671a0861df28 = L.circleMarker(
                [43.709577, -79.44507259999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_7524e392695348ceb23bb193184fbacd = L.popup({"maxWidth": "100%"});

        
            var html_f5c4fc420d02493285b97a150fdb7c42 = $(`<div id="html_f5c4fc420d02493285b97a150fdb7c42" style="width: 100.0%; height: 100.0%;">Glencairn Cluster 0.0</div>`)[0];
            popup_7524e392695348ceb23bb193184fbacd.setContent(html_f5c4fc420d02493285b97a150fdb7c42);
        

        circle_marker_1edce57956a14fa1b11b671a0861df28.bindPopup(popup_7524e392695348ceb23bb193184fbacd)
        ;

        
    
    
            var circle_marker_b8f9b1bf70574eacaf04dd306ef36fa7 = L.circleMarker(
                [43.6937813, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_627e7b8f0fe34fc6aa04d00d1bf3c820 = L.popup({"maxWidth": "100%"});

        
            var html_fab6430c39d24960bd19619b6983b6dc = $(`<div id="html_fab6430c39d24960bd19619b6983b6dc" style="width: 100.0%; height: 100.0%;">Humewood-Cedarvale Cluster 0.0</div>`)[0];
            popup_627e7b8f0fe34fc6aa04d00d1bf3c820.setContent(html_fab6430c39d24960bd19619b6983b6dc);
        

        circle_marker_b8f9b1bf70574eacaf04dd306ef36fa7.bindPopup(popup_627e7b8f0fe34fc6aa04d00d1bf3c820)
        ;

        
    
    
            var circle_marker_ad625762a3824af1af31096147c51f5f = L.circleMarker(
                [43.6890256, -79.453512],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_5fd1be9ef19544c084733a1a4b2f62c5 = L.popup({"maxWidth": "100%"});

        
            var html_9f2b543f3e664fa4b70cf04bbd842894 = $(`<div id="html_9f2b543f3e664fa4b70cf04bbd842894" style="width: 100.0%; height: 100.0%;">Caledonia-Fairbanks Cluster 0.0</div>`)[0];
            popup_5fd1be9ef19544c084733a1a4b2f62c5.setContent(html_9f2b543f3e664fa4b70cf04bbd842894);
        

        circle_marker_ad625762a3824af1af31096147c51f5f.bindPopup(popup_5fd1be9ef19544c084733a1a4b2f62c5)
        ;

        
    
    
            var circle_marker_2e05ba0d60344156b5c1d22383fb69ee = L.circleMarker(
                [43.669542, -79.4225637],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_615ede11a95c4b8e96746f0f6afa8b8f = L.popup({"maxWidth": "100%"});

        
            var html_8e2ccfefe9ae4fd38637c09a1d1cdad6 = $(`<div id="html_8e2ccfefe9ae4fd38637c09a1d1cdad6" style="width: 100.0%; height: 100.0%;">Christie Cluster 0.0</div>`)[0];
            popup_615ede11a95c4b8e96746f0f6afa8b8f.setContent(html_8e2ccfefe9ae4fd38637c09a1d1cdad6);
        

        circle_marker_2e05ba0d60344156b5c1d22383fb69ee.bindPopup(popup_615ede11a95c4b8e96746f0f6afa8b8f)
        ;

        
    
    
            var circle_marker_cdd1b28e01734f8595b4d195f3394c87 = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_6f2cdaa7e8a64cd7b811846de01a63a7 = L.popup({"maxWidth": "100%"});

        
            var html_7c591a2c1fc74798b0f6e6c4a589d1ae = $(`<div id="html_7c591a2c1fc74798b0f6e6c4a589d1ae" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin Cluster 0.0</div>`)[0];
            popup_6f2cdaa7e8a64cd7b811846de01a63a7.setContent(html_7c591a2c1fc74798b0f6e6c4a589d1ae);
        

        circle_marker_cdd1b28e01734f8595b4d195f3394c87.bindPopup(popup_6f2cdaa7e8a64cd7b811846de01a63a7)
        ;

        
    
    
            var circle_marker_1fd60b4ce98c4ba792677716ffda8fab = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_36770b4af6d1446fbe25e9f60b2f959c = L.popup({"maxWidth": "100%"});

        
            var html_718581fa04ca41cdb8468f215d2e6f94 = $(`<div id="html_718581fa04ca41cdb8468f215d2e6f94" style="width: 100.0%; height: 100.0%;">Little Portugal, Toronto, Trinity–Bellwoods Cluster 0.0</div>`)[0];
            popup_36770b4af6d1446fbe25e9f60b2f959c.setContent(html_718581fa04ca41cdb8468f215d2e6f94);
        

        circle_marker_1fd60b4ce98c4ba792677716ffda8fab.bindPopup(popup_36770b4af6d1446fbe25e9f60b2f959c)
        ;

        
    
    
            var circle_marker_ffc3db165bb446ff8470c8dae1017b3a = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_371adc86ee684dffbaba2bca84b1f34e = L.popup({"maxWidth": "100%"});

        
            var html_1e2be566022f4706a028dcb9d7c06361 = $(`<div id="html_1e2be566022f4706a028dcb9d7c06361" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village Cluster 0.0</div>`)[0];
            popup_371adc86ee684dffbaba2bca84b1f34e.setContent(html_1e2be566022f4706a028dcb9d7c06361);
        

        circle_marker_ffc3db165bb446ff8470c8dae1017b3a.bindPopup(popup_371adc86ee684dffbaba2bca84b1f34e)
        ;

        
    
    
            var circle_marker_16fc5ea3d3514646bfa59cd8fa4826a9 = L.circleMarker(
                [43.713756200000006, -79.4900738],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_f5c833bb329440b58850afbd2a03119e = L.popup({"maxWidth": "100%"});

        
            var html_9380f1792ec94c5b960d8771085353e4 = $(`<div id="html_9380f1792ec94c5b960d8771085353e4" style="width: 100.0%; height: 100.0%;">Downsview, Toronto, North Park, Upwood Park Cluster 0.0</div>`)[0];
            popup_f5c833bb329440b58850afbd2a03119e.setContent(html_9380f1792ec94c5b960d8771085353e4);
        

        circle_marker_16fc5ea3d3514646bfa59cd8fa4826a9.bindPopup(popup_f5c833bb329440b58850afbd2a03119e)
        ;

        
    
    
            var circle_marker_52492c9c48e3467dab1b05b22240f4ec = L.circleMarker(
                [43.6911158, -79.47601329999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_6b8fb343b85c4072ac937499422c9da2 = L.popup({"maxWidth": "100%"});

        
            var html_fb82189142e7492f986c8f43e7de0dd6 = $(`<div id="html_fb82189142e7492f986c8f43e7de0dd6" style="width: 100.0%; height: 100.0%;">Del Ray, Keelesdale, Mount Dennis, Silverthorn, Toronto Cluster 0.0</div>`)[0];
            popup_6b8fb343b85c4072ac937499422c9da2.setContent(html_fb82189142e7492f986c8f43e7de0dd6);
        

        circle_marker_52492c9c48e3467dab1b05b22240f4ec.bindPopup(popup_6b8fb343b85c4072ac937499422c9da2)
        ;

        
    
    
            var circle_marker_1976f11124e4457e98038274133c9d4c = L.circleMarker(
                [43.67318529999999, -79.48726190000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_f0b7ffb68e80470f98080823a9b2f1f6 = L.popup({"maxWidth": "100%"});

        
            var html_eb6c7bcf7e9b4481b2422c7b550fec27 = $(`<div id="html_eb6c7bcf7e9b4481b2422c7b550fec27" style="width: 100.0%; height: 100.0%;">The Junction North, Runnymede Cluster 0.0</div>`)[0];
            popup_f0b7ffb68e80470f98080823a9b2f1f6.setContent(html_eb6c7bcf7e9b4481b2422c7b550fec27);
        

        circle_marker_1976f11124e4457e98038274133c9d4c.bindPopup(popup_f0b7ffb68e80470f98080823a9b2f1f6)
        ;

        
    
    
            var circle_marker_7a819d79ad444f769c445e4f6b639cbd = L.circleMarker(
                [43.6616083, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_359641eea4fb4c17a2414c29897f7f6b = L.popup({"maxWidth": "100%"});

        
            var html_33ee02d43e3e47ceb06567f59c04dbfd = $(`<div id="html_33ee02d43e3e47ceb06567f59c04dbfd" style="width: 100.0%; height: 100.0%;">High Park, The Junction South Cluster 0.0</div>`)[0];
            popup_359641eea4fb4c17a2414c29897f7f6b.setContent(html_33ee02d43e3e47ceb06567f59c04dbfd);
        

        circle_marker_7a819d79ad444f769c445e4f6b639cbd.bindPopup(popup_359641eea4fb4c17a2414c29897f7f6b)
        ;

        
    
    
            var circle_marker_2b18d578df6d4210a2b319a172b3b42e = L.circleMarker(
                [43.6489597, -79.456325],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_be9cdb3f06ec452ab6f44678a351b18d = L.popup({"maxWidth": "100%"});

        
            var html_a61390706580482e821552235fb194cf = $(`<div id="html_a61390706580482e821552235fb194cf" style="width: 100.0%; height: 100.0%;">Parkdale, Toronto, Roncesvalles, Toronto Cluster 0.0</div>`)[0];
            popup_be9cdb3f06ec452ab6f44678a351b18d.setContent(html_a61390706580482e821552235fb194cf);
        

        circle_marker_2b18d578df6d4210a2b319a172b3b42e.bindPopup(popup_be9cdb3f06ec452ab6f44678a351b18d)
        ;

        
    
    
            var circle_marker_4f113234b5e242b98d31c8709285bb7a = L.circleMarker(
                [43.6515706, -79.4844499],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_a61e3adfd20a4cfbbc22e36265a7e47f = L.popup({"maxWidth": "100%"});

        
            var html_803f5e3a27804f609452d7f6d209724a = $(`<div id="html_803f5e3a27804f609452d7f6d209724a" style="width: 100.0%; height: 100.0%;">Runnymede, Toronto, Swansea, Toronto Cluster 0.0</div>`)[0];
            popup_a61e3adfd20a4cfbbc22e36265a7e47f.setContent(html_803f5e3a27804f609452d7f6d209724a);
        

        circle_marker_4f113234b5e242b98d31c8709285bb7a.bindPopup(popup_a61e3adfd20a4cfbbc22e36265a7e47f)
        ;

        
    
    
            var circle_marker_7bfc03209c08459dbe5dc4cbd732ef01 = L.circleMarker(
                [43.6623015, -79.3894938],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_0502a2d3fcc146498207251e33074839 = L.popup({"maxWidth": "100%"});

        
            var html_826342fb751d42abb81612e77f28c4e0 = $(`<div id="html_826342fb751d42abb81612e77f28c4e0" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park Cluster 0.0</div>`)[0];
            popup_0502a2d3fcc146498207251e33074839.setContent(html_826342fb751d42abb81612e77f28c4e0);
        

        circle_marker_7bfc03209c08459dbe5dc4cbd732ef01.bindPopup(popup_0502a2d3fcc146498207251e33074839)
        ;

        
    
    
            var circle_marker_4e5f944570994836b7a4a80a4262efcc = L.circleMarker(
                [43.6369656, -79.61581899999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_7e0a8a73602d437db19bb24939434537 = L.popup({"maxWidth": "100%"});

        
            var html_f41dc71a2f2e47b68a0537a183d69eec = $(`<div id="html_f41dc71a2f2e47b68a0537a183d69eec" style="width: 100.0%; height: 100.0%;">Canada Post Gateway Processing Centre Cluster 0.0</div>`)[0];
            popup_7e0a8a73602d437db19bb24939434537.setContent(html_f41dc71a2f2e47b68a0537a183d69eec);
        

        circle_marker_4e5f944570994836b7a4a80a4262efcc.bindPopup(popup_7e0a8a73602d437db19bb24939434537)
        ;

        
    
    
            var circle_marker_aa3baca0d5bd42c29cd94dd476541c96 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_1522f345c79b4c838cb9f86d3c5f6bfb = L.popup({"maxWidth": "100%"});

        
            var html_9ee28293ecec475485090c01c86730a8 = $(`<div id="html_9ee28293ecec475485090c01c86730a8" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 0.0</div>`)[0];
            popup_1522f345c79b4c838cb9f86d3c5f6bfb.setContent(html_9ee28293ecec475485090c01c86730a8);
        

        circle_marker_aa3baca0d5bd42c29cd94dd476541c96.bindPopup(popup_1522f345c79b4c838cb9f86d3c5f6bfb)
        ;

        
    
    
            var circle_marker_7cd142ed4f084d9eb907efc83162965d = L.circleMarker(
                [43.6056466, -79.50132070000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_d953bd02384f4fd7ad2098d53aa5d747 = L.popup({"maxWidth": "100%"});

        
            var html_4fe2d7e1fcb14d2dacc209d7c9751993 = $(`<div id="html_4fe2d7e1fcb14d2dacc209d7c9751993" style="width: 100.0%; height: 100.0%;">Humber Bay Shores, Mimico South, New Toronto Cluster 0.0</div>`)[0];
            popup_d953bd02384f4fd7ad2098d53aa5d747.setContent(html_4fe2d7e1fcb14d2dacc209d7c9751993);
        

        circle_marker_7cd142ed4f084d9eb907efc83162965d.bindPopup(popup_d953bd02384f4fd7ad2098d53aa5d747)
        ;

        
    
    
            var circle_marker_3859a5f6a6d94352bee589f41d17eea3 = L.circleMarker(
                [43.60241370000001, -79.54348409999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_274b053332bb4fa2921fc86cde78cb85 = L.popup({"maxWidth": "100%"});

        
            var html_268b64a37ec841e5b281fe6fce7f5361 = $(`<div id="html_268b64a37ec841e5b281fe6fce7f5361" style="width: 100.0%; height: 100.0%;">Alderwood, Toronto, Long Branch, Toronto Cluster 0.0</div>`)[0];
            popup_274b053332bb4fa2921fc86cde78cb85.setContent(html_268b64a37ec841e5b281fe6fce7f5361);
        

        circle_marker_3859a5f6a6d94352bee589f41d17eea3.bindPopup(popup_274b053332bb4fa2921fc86cde78cb85)
        ;

        
    
    
            var circle_marker_e214b608a43546e1aa567a1293ba54db = L.circleMarker(
                [43.653653600000005, -79.5069436],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_c34c37c842b948978d4963efb85969a1 = L.popup({"maxWidth": "100%"});

        
            var html_80fab7572c4a4104a633c7f4320f82d1 = $(`<div id="html_80fab7572c4a4104a633c7f4320f82d1" style="width: 100.0%; height: 100.0%;">The Kingsway, Montgomery Road, Old Mill North Cluster 2.0</div>`)[0];
            popup_c34c37c842b948978d4963efb85969a1.setContent(html_80fab7572c4a4104a633c7f4320f82d1);
        

        circle_marker_e214b608a43546e1aa567a1293ba54db.bindPopup(popup_c34c37c842b948978d4963efb85969a1)
        ;

        
    
    
            var circle_marker_5b314f2830df4f218fcc641ff44f8782 = L.circleMarker(
                [43.6362579, -79.49850909999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_ad0b3e1c99d74475b492f55c17df13ea = L.popup({"maxWidth": "100%"});

        
            var html_64a7de75b4fc4fda9ad1542287b587b5 = $(`<div id="html_64a7de75b4fc4fda9ad1542287b587b5" style="width: 100.0%; height: 100.0%;">Humber Bay, King&#39;s Mill Park, Kingsway Park South East, Mimico, Old Mill, Toronto, The Queensway, Fairmont Royal York Hotel, Sunnylea Cluster 0.0</div>`)[0];
            popup_ad0b3e1c99d74475b492f55c17df13ea.setContent(html_64a7de75b4fc4fda9ad1542287b587b5);
        

        circle_marker_5b314f2830df4f218fcc641ff44f8782.bindPopup(popup_ad0b3e1c99d74475b492f55c17df13ea)
        ;

        
    
    
            var circle_marker_cb729838ff4b4c6591922313be029290 = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_498ca559e57a4b1f899aa60f3bbe5872 = L.popup({"maxWidth": "100%"});

        
            var html_0dc3aaa6a6c942e3b41a4cbff5144680 = $(`<div id="html_0dc3aaa6a6c942e3b41a4cbff5144680" style="width: 100.0%; height: 100.0%;">Kingsway Park South West, Mimico, The Queensway, Royal York South West, South of Bloor Cluster 0.0</div>`)[0];
            popup_498ca559e57a4b1f899aa60f3bbe5872.setContent(html_0dc3aaa6a6c942e3b41a4cbff5144680);
        

        circle_marker_cb729838ff4b4c6591922313be029290.bindPopup(popup_498ca559e57a4b1f899aa60f3bbe5872)
        ;

        
    
    
            var circle_marker_b14f6928b3a14ed388f120b461a1acf6 = L.circleMarker(
                [43.6509432, -79.55472440000001],
                {"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_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_e9484ea7573c469d976b949404e29dbc = L.popup({"maxWidth": "100%"});

        
            var html_2873cc1f7b84478bb195b57d2cac4af7 = $(`<div id="html_2873cc1f7b84478bb195b57d2cac4af7" style="width: 100.0%; height: 100.0%;">Cloverdale, Islington, Toronto, Martin Grove, Princess Gardens, West Deane Park Cluster 3.0</div>`)[0];
            popup_e9484ea7573c469d976b949404e29dbc.setContent(html_2873cc1f7b84478bb195b57d2cac4af7);
        

        circle_marker_b14f6928b3a14ed388f120b461a1acf6.bindPopup(popup_e9484ea7573c469d976b949404e29dbc)
        ;

        
    
    
            var circle_marker_34a922de89d54c98886403016c20a823 = L.circleMarker(
                [43.6435152, -79.57720079999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_c73ab6df7d5c4f53a593246eaf429a1b = L.popup({"maxWidth": "100%"});

        
            var html_fbb5c1c3a3594dbdb5048e537926f1c5 = $(`<div id="html_fbb5c1c3a3594dbdb5048e537926f1c5" style="width: 100.0%; height: 100.0%;">Bloordale Gardens, Eringate, Markland Wood, Old Burnhamthorpe Cluster 0.0</div>`)[0];
            popup_c73ab6df7d5c4f53a593246eaf429a1b.setContent(html_fbb5c1c3a3594dbdb5048e537926f1c5);
        

        circle_marker_34a922de89d54c98886403016c20a823.bindPopup(popup_c73ab6df7d5c4f53a593246eaf429a1b)
        ;

        
    
    
            var circle_marker_211f97b337154f4eb1b762b851721a9d = L.circleMarker(
                [43.7563033, -79.56596329999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_aff958afea664a13bb0d049c85b3b7b6 = L.popup({"maxWidth": "100%"});

        
            var html_8422befa90a143cea58aa87fc128b643 = $(`<div id="html_8422befa90a143cea58aa87fc128b643" style="width: 100.0%; height: 100.0%;">Humber Summit Cluster 0.0</div>`)[0];
            popup_aff958afea664a13bb0d049c85b3b7b6.setContent(html_8422befa90a143cea58aa87fc128b643);
        

        circle_marker_211f97b337154f4eb1b762b851721a9d.bindPopup(popup_aff958afea664a13bb0d049c85b3b7b6)
        ;

        
    
    
            var circle_marker_38d3a93d01ab467180e2cc081ed59f27 = L.circleMarker(
                [43.7247659, -79.53224240000002],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_2471a89e493d437a93b556d7de9111ea = L.popup({"maxWidth": "100%"});

        
            var html_df515da0f3f24ce5b96b0c60653eacc2 = $(`<div id="html_df515da0f3f24ce5b96b0c60653eacc2" style="width: 100.0%; height: 100.0%;">Emery, Toronto, Humberlea Cluster 4.0</div>`)[0];
            popup_2471a89e493d437a93b556d7de9111ea.setContent(html_df515da0f3f24ce5b96b0c60653eacc2);
        

        circle_marker_38d3a93d01ab467180e2cc081ed59f27.bindPopup(popup_2471a89e493d437a93b556d7de9111ea)
        ;

        
    
    
            var circle_marker_196d6dbfe76a4ddc8b1d0a7055c9e829 = L.circleMarker(
                [43.706876, -79.51818840000001],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_a885e51422f74affb19b168548669cf8 = L.popup({"maxWidth": "100%"});

        
            var html_4ba872acfe7248f8824e84de2ff97b09 = $(`<div id="html_4ba872acfe7248f8824e84de2ff97b09" style="width: 100.0%; height: 100.0%;">Weston, Toronto Cluster 2.0</div>`)[0];
            popup_a885e51422f74affb19b168548669cf8.setContent(html_4ba872acfe7248f8824e84de2ff97b09);
        

        circle_marker_196d6dbfe76a4ddc8b1d0a7055c9e829.bindPopup(popup_a885e51422f74affb19b168548669cf8)
        ;

        
    
    
            var circle_marker_3ced9b2ec69049e3886ea7a19cb45fd5 = L.circleMarker(
                [43.696319, -79.53224240000002],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_62dffb7ed04b43d69d9dad1485e55079 = L.popup({"maxWidth": "100%"});

        
            var html_a55ac7e297e143b28eae3858404f08a7 = $(`<div id="html_a55ac7e297e143b28eae3858404f08a7" style="width: 100.0%; height: 100.0%;">Westmount Cluster 0.0</div>`)[0];
            popup_62dffb7ed04b43d69d9dad1485e55079.setContent(html_a55ac7e297e143b28eae3858404f08a7);
        

        circle_marker_3ced9b2ec69049e3886ea7a19cb45fd5.bindPopup(popup_62dffb7ed04b43d69d9dad1485e55079)
        ;

        
    
    
            var circle_marker_0aaf4e8a2728477d849497d4383e40ee = L.circleMarker(
                [43.6889054, -79.55472440000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_4ab243830a4a4b8082b48f2d9f425683 = L.popup({"maxWidth": "100%"});

        
            var html_ea7436826e3f4d9389f5f81fae490c9b = $(`<div id="html_ea7436826e3f4d9389f5f81fae490c9b" style="width: 100.0%; height: 100.0%;">Kingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips Cluster 0.0</div>`)[0];
            popup_4ab243830a4a4b8082b48f2d9f425683.setContent(html_ea7436826e3f4d9389f5f81fae490c9b);
        

        circle_marker_0aaf4e8a2728477d849497d4383e40ee.bindPopup(popup_4ab243830a4a4b8082b48f2d9f425683)
        ;

        
    
    
            var circle_marker_6a94a367c9064dd6be5ad5fa6f197d02 = L.circleMarker(
                [43.739416399999996, -79.5884369],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_f46215bbcea6405193eb990f1c461e42 = L.popup({"maxWidth": "100%"});

        
            var html_d6f035690d594ad48e377df6e4bbf891 = $(`<div id="html_d6f035690d594ad48e377df6e4bbf891" style="width: 100.0%; height: 100.0%;">Albion Gardens, Beaumond Heights, Humbergate, Mount Olive-Silverstone-Jamestown, Mount Olive-Silverstone-Jamestown, Silverstone, Toronto, South Steeles, Thistletown Cluster 0.0</div>`)[0];
            popup_f46215bbcea6405193eb990f1c461e42.setContent(html_d6f035690d594ad48e377df6e4bbf891);
        

        circle_marker_6a94a367c9064dd6be5ad5fa6f197d02.bindPopup(popup_f46215bbcea6405193eb990f1c461e42)
        ;

        
    
    
            var circle_marker_998b58cc13374bec8067dfb690523972 = L.circleMarker(
                [43.706748299999994, -79.5940544],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_56238d0957e040e4a1882cabce552df5);
        
    
        var popup_3fff2ef5a3a64a39abeb52018bffda6a = L.popup({"maxWidth": "100%"});

        
            var html_92433db37e114c4f9ab19ca40dba9210 = $(`<div id="html_92433db37e114c4f9ab19ca40dba9210" style="width: 100.0%; height: 100.0%;">Northwest Cluster 0.0</div>`)[0];
            popup_3fff2ef5a3a64a39abeb52018bffda6a.setContent(html_92433db37e114c4f9ab19ca40dba9210);
        

        circle_marker_998b58cc13374bec8067dfb690523972.bindPopup(popup_3fff2ef5a3a64a39abeb52018bffda6a)
        ;

        
    
</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 0x7fde7e3d9d68>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# !conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab\n!pip install folium\nimport folium # map rendering library\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n\n# create map\nmap_clusters = folium.Map(location=[df_merged.Latitude[0], df_merged.Longitude[0]], 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# df_grouped_merged.loc[:, 'Cluster Labels'] = df_grouped_merged.loc[:, 'Cluster Labels'].astype(int)\n\n# max_cluster = max()\n# min_cluster = min(df_grouped_merged['Cluster Labels'])\n\n# print(max_cluster, min_cluster)\n\n# add markers to the map\nmarkers_colors = []\nfor lat, lon, poi, cluster in zip(df_grouped_merged['Latitude'], df_grouped_merged['Longitude'], df_grouped_merged['neighborhood'], df_grouped_merged['Cluster Labels']):\n    try:\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[int(cluster)-1], #cm.rainbow((cluster-min_cluster)/(max_cluster-min_cluster)), #\n            fill=True,\n            fill_color=rainbow[int(cluster)-1], #cm.rainbow((cluster-min_cluster)/(max_cluster-min_cluster)),\n            fill_opacity=0.7).add_to(map_clusters)\n    except ValueError:\n        pass\n       \nmap_clusters"
        }, 
        {
            "source": "give a list for all the different clusters", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 77, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 77, 
                    "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>M1C</th>\n      <td>Highland Creek (Toronto), Rouge Hill, Port Uni...</td>\n      <td>Golf Course</td>\n      <td>Bar</td>\n      <td>Yoga Studio</td>\n      <td>Drugstore</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>M1E</th>\n      <td>Guildwood, Morningside, Toronto, West Hill, To...</td>\n      <td>Medical Center</td>\n      <td>Electronics Store</td>\n      <td>Spa</td>\n      <td>Intersection</td>\n      <td>Pizza Place</td>\n      <td>Rental Car Location</td>\n      <td>Breakfast Spot</td>\n      <td>Mexican Restaurant</td>\n      <td>Dog Run</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>M1G</th>\n      <td>Woburn, Toronto</td>\n      <td>Coffee Shop</td>\n      <td>Korean Restaurant</td>\n      <td>Insurance Office</td>\n      <td>Dumpling Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M1H</th>\n      <td>Cedarbrae</td>\n      <td>Hakka Restaurant</td>\n      <td>Caribbean Restaurant</td>\n      <td>Bank</td>\n      <td>Bakery</td>\n      <td>Fried Chicken Joint</td>\n      <td>Thai Restaurant</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Coworking Space</td>\n      <td>Creperie</td>\n      <td>Falafel Restaurant</td>\n    </tr>\n    <tr>\n      <th>M1J</th>\n      <td>Scarborough Village</td>\n      <td>Playground</td>\n      <td>Convenience Store</td>\n      <td>Yoga Studio</td>\n      <td>Dumpling Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M1K</th>\n      <td>East Birchmount Park, Ionview, Kennedy Park, T...</td>\n      <td>Discount Store</td>\n      <td>Department Store</td>\n      <td>Bus Station</td>\n      <td>Hobby Shop</td>\n      <td>Coffee Shop</td>\n      <td>Convenience Store</td>\n      <td>Dumpling Restaurant</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>M1L</th>\n      <td>Clairlea, Golden Mile, Toronto, Oakridge, Toronto</td>\n      <td>Bus Line</td>\n      <td>Bakery</td>\n      <td>Park</td>\n      <td>Metro Station</td>\n      <td>Fast Food Restaurant</td>\n      <td>Intersection</td>\n      <td>Soccer Field</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n    </tr>\n    <tr>\n      <th>M1M</th>\n      <td>Cliffcrest, Cliffside, Toronto, Scarborough Vi...</td>\n      <td>Motel</td>\n      <td>Movie Theater</td>\n      <td>American Restaurant</td>\n      <td>Department Store</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>M1N</th>\n      <td>Birch Cliff, Cliffside West</td>\n      <td>College Stadium</td>\n      <td>Skating Rink</td>\n      <td>General Entertainment</td>\n      <td>Caf\u00e9</td>\n      <td>Donut Shop</td>\n      <td>Dim Sum Restaurant</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>M1P</th>\n      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n      <td>Indian Restaurant</td>\n      <td>Thrift / Vintage Store</td>\n      <td>Pet Store</td>\n      <td>Vietnamese Restaurant</td>\n      <td>Latin American Restaurant</td>\n      <td>Chinese Restaurant</td>\n      <td>Yoga Studio</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n    </tr>\n    <tr>\n      <th>M1R</th>\n      <td>Maryvale, Toronto, Wexford, Toronto</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Auto Garage</td>\n      <td>Breakfast Spot</td>\n      <td>Shopping Mall</td>\n      <td>Bakery</td>\n      <td>Sandwich Place</td>\n      <td>Donut Shop</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n    </tr>\n    <tr>\n      <th>M1S</th>\n      <td>Agincourt, Toronto</td>\n      <td>Lounge</td>\n      <td>Clothing Store</td>\n      <td>Skating Rink</td>\n      <td>Breakfast Spot</td>\n      <td>Yoga Studio</td>\n      <td>Dumpling Restaurant</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>M1T</th>\n      <td>Clarks Corners, Sullivan, Tam O'Shanter \u2013 Sull...</td>\n      <td>Pizza Place</td>\n      <td>Fried Chicken Joint</td>\n      <td>Italian Restaurant</td>\n      <td>Bank</td>\n      <td>Fast Food Restaurant</td>\n      <td>Pharmacy</td>\n      <td>Noodle House</td>\n      <td>Shopping Mall</td>\n      <td>Thai Restaurant</td>\n      <td>Chinese Restaurant</td>\n    </tr>\n    <tr>\n      <th>M1V</th>\n      <td>Agincourt North, L'Amoreaux East, Milliken, On...</td>\n      <td>Park</td>\n      <td>Coffee Shop</td>\n      <td>Playground</td>\n      <td>Yoga Studio</td>\n      <td>Donut Shop</td>\n      <td>Dim Sum Restaurant</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>M1W</th>\n      <td>L'Amoreaux West</td>\n      <td>Chinese Restaurant</td>\n      <td>Fast Food Restaurant</td>\n      <td>Gym</td>\n      <td>Coffee Shop</td>\n      <td>Sandwich Place</td>\n      <td>Nail Salon</td>\n      <td>Breakfast Spot</td>\n      <td>Pizza Place</td>\n      <td>Pharmacy</td>\n      <td>Grocery Store</td>\n    </tr>\n    <tr>\n      <th>M2H</th>\n      <td>Hillcrest Village</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Golf Course</td>\n      <td>Dog Run</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Pool</td>\n      <td>Eastern European Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Empanada Restaurant</td>\n      <td>Dumpling Restaurant</td>\n      <td>Department Store</td>\n    </tr>\n    <tr>\n      <th>M2J</th>\n      <td>Fairview, Henry Farm, Oriole</td>\n      <td>Clothing Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Women's Store</td>\n      <td>Bakery</td>\n      <td>Shoe Store</td>\n      <td>Japanese Restaurant</td>\n      <td>Food Court</td>\n      <td>Asian Restaurant</td>\n      <td>Restaurant</td>\n    </tr>\n    <tr>\n      <th>M2K</th>\n      <td>Bayview Village</td>\n      <td>Caf\u00e9</td>\n      <td>Japanese Restaurant</td>\n      <td>Bank</td>\n      <td>Chinese Restaurant</td>\n      <td>Yoga Studio</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M2N</th>\n      <td>Willowdale South</td>\n      <td>Ramen Restaurant</td>\n      <td>Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Japanese Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Caf\u00e9</td>\n      <td>Ice Cream Shop</td>\n      <td>Steakhouse</td>\n      <td>Indonesian Restaurant</td>\n    </tr>\n    <tr>\n      <th>M2P</th>\n      <td>York Mills West</td>\n      <td>Park</td>\n      <td>Convenience Store</td>\n      <td>Bank</td>\n      <td>Yoga Studio</td>\n      <td>Dumpling Restaurant</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M2R</th>\n      <td>Willowdale West</td>\n      <td>Butcher</td>\n      <td>Grocery Store</td>\n      <td>Pharmacy</td>\n      <td>Pizza Place</td>\n      <td>Coffee Shop</td>\n      <td>Discount Store</td>\n      <td>Doner Restaurant</td>\n      <td>Dessert Shop</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>M3A</th>\n      <td>Parkwoods</td>\n      <td>Fast Food Restaurant</td>\n      <td>Food &amp; Drink Shop</td>\n      <td>Park</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>M3B</th>\n      <td>Don Mills North</td>\n      <td>Baseball Field</td>\n      <td>Gym / Fitness Center</td>\n      <td>Japanese Restaurant</td>\n      <td>Caribbean Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Yoga Studio</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>M3C</th>\n      <td>Flemingdon Park, Don Mills South</td>\n      <td>Gym</td>\n      <td>Grocery Store</td>\n      <td>Asian Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Beer Store</td>\n      <td>Sandwich Place</td>\n      <td>Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Discount Store</td>\n    </tr>\n    <tr>\n      <th>M3H</th>\n      <td>Bathurst Manor, Downsview North, Wilson Height...</td>\n      <td>Coffee Shop</td>\n      <td>Sandwich Place</td>\n      <td>Supermarket</td>\n      <td>Sushi Restaurant</td>\n      <td>Deli / Bodega</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Bank</td>\n      <td>Fried Chicken Joint</td>\n      <td>Frozen Yogurt Shop</td>\n      <td>Diner</td>\n    </tr>\n    <tr>\n      <th>M3J</th>\n      <td>Northwood Park, York University</td>\n      <td>Falafel Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Caribbean Restaurant</td>\n      <td>Bar</td>\n      <td>Furniture / Home Store</td>\n      <td>Massage Studio</td>\n      <td>Empanada Restaurant</td>\n      <td>Electronics Store</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dim Sum Restaurant</td>\n    </tr>\n    <tr>\n      <th>M3L</th>\n      <td>Downsview</td>\n      <td>Grocery Store</td>\n      <td>Hotel</td>\n      <td>Park</td>\n      <td>Bank</td>\n      <td>Yoga Studio</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>M3M</th>\n      <td>Downsview Central</td>\n      <td>Baseball Field</td>\n      <td>Home Service</td>\n      <td>Food Truck</td>\n      <td>Yoga Studio</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>M3N</th>\n      <td>Downsview Northwest</td>\n      <td>Gym / Fitness Center</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Grocery Store</td>\n      <td>Liquor Store</td>\n      <td>Discount Store</td>\n      <td>Yoga Studio</td>\n      <td>Dumpling Restaurant</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>M4A</th>\n      <td>Victoria Village</td>\n      <td>Intersection</td>\n      <td>Coffee Shop</td>\n      <td>Hockey Arena</td>\n      <td>Portuguese Restaurant</td>\n      <td>Drugstore</td>\n      <td>Dim Sum Restaurant</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>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>M5V</th>\n      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n      <td>Airport Service</td>\n      <td>Airport Lounge</td>\n      <td>Airport Terminal</td>\n      <td>Harbor / Marina</td>\n      <td>Boat or Ferry</td>\n      <td>Airport</td>\n      <td>Airport Food Court</td>\n      <td>Airport Gate</td>\n      <td>Boutique</td>\n      <td>Sculpture Garden</td>\n    </tr>\n    <tr>\n      <th>M5W</th>\n      <td>Stn A PO Boxes 25 The Esplanade</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>Restaurant</td>\n      <td>Seafood Restaurant</td>\n      <td>Beer Bar</td>\n      <td>Italian Restaurant</td>\n      <td>Hotel</td>\n      <td>Cocktail Bar</td>\n      <td>Lounge</td>\n      <td>Art Gallery</td>\n    </tr>\n    <tr>\n      <th>M5X</th>\n      <td>First Canadian Place, Underground city</td>\n      <td>Caf\u00e9</td>\n      <td>Coffee Shop</td>\n      <td>Hotel</td>\n      <td>Gastropub</td>\n      <td>Seafood Restaurant</td>\n      <td>Bar</td>\n      <td>Restaurant</td>\n      <td>Bakery</td>\n      <td>Steakhouse</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>M6A</th>\n      <td>Lawrence Heights, Lawrence Manor</td>\n      <td>Furniture / Home Store</td>\n      <td>Clothing Store</td>\n      <td>Coffee Shop</td>\n      <td>Boutique</td>\n      <td>Shoe Store</td>\n      <td>Miscellaneous Shop</td>\n      <td>Event Space</td>\n      <td>Accessories Store</td>\n      <td>Women's Store</td>\n      <td>Vietnamese Restaurant</td>\n    </tr>\n    <tr>\n      <th>M6B</th>\n      <td>Glencairn</td>\n      <td>Park</td>\n      <td>Asian Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Pub</td>\n      <td>Japanese Restaurant</td>\n      <td>Dog Run</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Doner Restaurant</td>\n    </tr>\n    <tr>\n      <th>M6C</th>\n      <td>Humewood-Cedarvale</td>\n      <td>Field</td>\n      <td>Trail</td>\n      <td>Hockey Arena</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>M6E</th>\n      <td>Caledonia-Fairbanks</td>\n      <td>Park</td>\n      <td>Women's Store</td>\n      <td>Pharmacy</td>\n      <td>Fast Food Restaurant</td>\n      <td>Market</td>\n      <td>Yoga Studio</td>\n      <td>Donut Shop</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n    </tr>\n    <tr>\n      <th>M6G</th>\n      <td>Christie</td>\n      <td>Grocery Store</td>\n      <td>Caf\u00e9</td>\n      <td>Park</td>\n      <td>Restaurant</td>\n      <td>Nightclub</td>\n      <td>Italian Restaurant</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Diner</td>\n      <td>Baby Store</td>\n      <td>Convenience Store</td>\n    </tr>\n    <tr>\n      <th>M6H</th>\n      <td>Dovercourt Village, Dufferin</td>\n      <td>Supermarket</td>\n      <td>Bakery</td>\n      <td>Pharmacy</td>\n      <td>Fast Food Restaurant</td>\n      <td>Bank</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Discount Store</td>\n      <td>Portuguese Restaurant</td>\n      <td>Pool</td>\n    </tr>\n    <tr>\n      <th>M6J</th>\n      <td>Little Portugal, Toronto, Trinity\u2013Bellwoods</td>\n      <td>Bar</td>\n      <td>Men's Store</td>\n      <td>Asian Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Caf\u00e9</td>\n      <td>New American Restaurant</td>\n      <td>Cocktail Bar</td>\n      <td>Pizza Place</td>\n      <td>Restaurant</td>\n      <td>Bakery</td>\n    </tr>\n    <tr>\n      <th>M6K</th>\n      <td>Brockton, Exhibition Place, Parkdale Village</td>\n      <td>Breakfast Spot</td>\n      <td>Caf\u00e9</td>\n      <td>Coffee Shop</td>\n      <td>Gym</td>\n      <td>Climbing Gym</td>\n      <td>Burrito Place</td>\n      <td>Stadium</td>\n      <td>Bar</td>\n      <td>Italian Restaurant</td>\n      <td>Restaurant</td>\n    </tr>\n    <tr>\n      <th>M6L</th>\n      <td>Downsview, Toronto, North Park, Upwood Park</td>\n      <td>Basketball Court</td>\n      <td>Park</td>\n      <td>Bakery</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Eastern European Restaurant</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>M6M</th>\n      <td>Del Ray, Keelesdale, Mount Dennis, Silverthorn...</td>\n      <td>Sandwich Place</td>\n      <td>Restaurant</td>\n      <td>Discount Store</td>\n      <td>Convenience Store</td>\n      <td>Check Cashing Service</td>\n      <td>Yoga Studio</td>\n      <td>Doner Restaurant</td>\n      <td>Diner</td>\n      <td>Dog Run</td>\n      <td>Donut Shop</td>\n    </tr>\n    <tr>\n      <th>M6N</th>\n      <td>The Junction North, Runnymede</td>\n      <td>Pizza Place</td>\n      <td>Grocery Store</td>\n      <td>Bus Line</td>\n      <td>Caribbean Restaurant</td>\n      <td>Yoga Studio</td>\n      <td>Donut 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>M6P</th>\n      <td>High Park, The Junction South</td>\n      <td>Caf\u00e9</td>\n      <td>Mexican Restaurant</td>\n      <td>Bar</td>\n      <td>Grocery Store</td>\n      <td>Thai Restaurant</td>\n      <td>Bookstore</td>\n      <td>Fast Food Restaurant</td>\n      <td>Flea Market</td>\n      <td>Speakeasy</td>\n      <td>Cajun / Creole Restaurant</td>\n    </tr>\n    <tr>\n      <th>M6R</th>\n      <td>Parkdale, Toronto, Roncesvalles, Toronto</td>\n      <td>Breakfast Spot</td>\n      <td>Gift Shop</td>\n      <td>Restaurant</td>\n      <td>Movie Theater</td>\n      <td>Eastern European Restaurant</td>\n      <td>Bar</td>\n      <td>Bank</td>\n      <td>Dog Run</td>\n      <td>Italian Restaurant</td>\n      <td>Dessert Shop</td>\n    </tr>\n    <tr>\n      <th>M6S</th>\n      <td>Runnymede, Toronto, Swansea, Toronto</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>Caf\u00e9</td>\n      <td>Sushi Restaurant</td>\n      <td>Gym</td>\n      <td>Restaurant</td>\n      <td>Italian Restaurant</td>\n      <td>Latin American Restaurant</td>\n      <td>Food</td>\n      <td>Indie Movie Theater</td>\n    </tr>\n    <tr>\n      <th>M7A</th>\n      <td>Queen's Park</td>\n      <td>Coffee Shop</td>\n      <td>Park</td>\n      <td>Gym</td>\n      <td>Japanese Restaurant</td>\n      <td>Sushi Restaurant</td>\n      <td>Persian Restaurant</td>\n      <td>Smoothie Shop</td>\n      <td>Seafood Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Burger Joint</td>\n    </tr>\n    <tr>\n      <th>M7R</th>\n      <td>Canada Post Gateway Processing Centre</td>\n      <td>Coffee Shop</td>\n      <td>Hotel</td>\n      <td>American Restaurant</td>\n      <td>Gym / Fitness Center</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Mediterranean Restaurant</td>\n      <td>Burrito Place</td>\n      <td>Fried Chicken Joint</td>\n      <td>Doner Restaurant</td>\n    </tr>\n    <tr>\n      <th>M7Y</th>\n      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n      <td>Yoga Studio</td>\n      <td>Garden Center</td>\n      <td>Skate Park</td>\n      <td>Light Rail Station</td>\n      <td>Farmers Market</td>\n      <td>Spa</td>\n      <td>Fast Food Restaurant</td>\n      <td>Brewery</td>\n      <td>Burrito Place</td>\n      <td>Restaurant</td>\n    </tr>\n    <tr>\n      <th>M8V</th>\n      <td>Humber Bay Shores, Mimico South, New Toronto</td>\n      <td>Gym</td>\n      <td>American Restaurant</td>\n      <td>Liquor Store</td>\n      <td>Fast Food Restaurant</td>\n      <td>Sandwich Place</td>\n      <td>Mexican Restaurant</td>\n      <td>Caf\u00e9</td>\n      <td>Restaurant</td>\n      <td>Bakery</td>\n      <td>Fried Chicken Joint</td>\n    </tr>\n    <tr>\n      <th>M8W</th>\n      <td>Alderwood, Toronto, Long Branch, Toronto</td>\n      <td>Pizza Place</td>\n      <td>Coffee Shop</td>\n      <td>Gym</td>\n      <td>Pharmacy</td>\n      <td>Skating Rink</td>\n      <td>Sandwich Place</td>\n      <td>Athletics &amp; Sports</td>\n      <td>Pool</td>\n      <td>Pub</td>\n      <td>Yoga Studio</td>\n    </tr>\n    <tr>\n      <th>M8Y</th>\n      <td>Humber Bay, King's Mill Park, Kingsway Park So...</td>\n      <td>Baseball Field</td>\n      <td>Park</td>\n      <td>Construction &amp; Landscaping</td>\n      <td>Yoga Studio</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n      <td>Dumpling Restaurant</td>\n    </tr>\n    <tr>\n      <th>M8Z</th>\n      <td>Kingsway Park South West, Mimico, The Queenswa...</td>\n      <td>Gym</td>\n      <td>Tanning Salon</td>\n      <td>Convenience Store</td>\n      <td>Discount Store</td>\n      <td>Burrito Place</td>\n      <td>Burger Joint</td>\n      <td>Sandwich Place</td>\n      <td>Fast Food Restaurant</td>\n      <td>Flower Shop</td>\n      <td>Bakery</td>\n    </tr>\n    <tr>\n      <th>M9C</th>\n      <td>Bloordale Gardens, Eringate, Markland Wood, Ol...</td>\n      <td>Caf\u00e9</td>\n      <td>Liquor Store</td>\n      <td>Pharmacy</td>\n      <td>Pizza Place</td>\n      <td>Beer Store</td>\n      <td>Convenience Store</td>\n      <td>Drugstore</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n    </tr>\n    <tr>\n      <th>M9L</th>\n      <td>Humber Summit</td>\n      <td>Pizza Place</td>\n      <td>Empanada Restaurant</td>\n      <td>Yoga Studio</td>\n      <td>Drugstore</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>M9P</th>\n      <td>Westmount</td>\n      <td>Pizza Place</td>\n      <td>Intersection</td>\n      <td>Chinese Restaurant</td>\n      <td>Coffee Shop</td>\n      <td>Sandwich Place</td>\n      <td>Middle Eastern Restaurant</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n    </tr>\n    <tr>\n      <th>M9R</th>\n      <td>Kingsview Village, Martin Grove Gardens, Richv...</td>\n      <td>Park</td>\n      <td>Mobile Phone Shop</td>\n      <td>Pizza Place</td>\n      <td>Bus Line</td>\n      <td>Donut Shop</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M9V</th>\n      <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n      <td>Grocery Store</td>\n      <td>Coffee Shop</td>\n      <td>Pizza Place</td>\n      <td>Sandwich Place</td>\n      <td>Fast Food Restaurant</td>\n      <td>Beer Store</td>\n      <td>Fried Chicken Joint</td>\n      <td>Video Store</td>\n      <td>Pharmacy</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n    <tr>\n      <th>M9W</th>\n      <td>Northwest</td>\n      <td>Drugstore</td>\n      <td>Rental Car Location</td>\n      <td>Bar</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      <td>Donut Shop</td>\n      <td>Yoga Studio</td>\n    </tr>\n  </tbody>\n</table>\n<p>92 rows \u00d7 11 columns</p>\n</div>", 
                        "text/plain": "                                          neighborhood  \\\nM1C  Highland Creek (Toronto), Rouge Hill, Port Uni...   \nM1E  Guildwood, Morningside, Toronto, West Hill, To...   \nM1G                                    Woburn, Toronto   \nM1H                                          Cedarbrae   \nM1J                                Scarborough Village   \nM1K  East Birchmount Park, Ionview, Kennedy Park, T...   \nM1L  Clairlea, Golden Mile, Toronto, Oakridge, Toronto   \nM1M  Cliffcrest, Cliffside, Toronto, Scarborough Vi...   \nM1N                        Birch Cliff, Cliffside West   \nM1P  Dorset Park, Scarborough Town Centre, Wexford ...   \nM1R                Maryvale, Toronto, Wexford, Toronto   \nM1S                                 Agincourt, Toronto   \nM1T  Clarks Corners, Sullivan, Tam O'Shanter \u2013 Sull...   \nM1V  Agincourt North, L'Amoreaux East, Milliken, On...   \nM1W                                    L'Amoreaux West   \nM2H                                  Hillcrest Village   \nM2J                       Fairview, Henry Farm, Oriole   \nM2K                                    Bayview Village   \nM2N                                   Willowdale South   \nM2P                                    York Mills West   \nM2R                                    Willowdale West   \nM3A                                          Parkwoods   \nM3B                                    Don Mills North   \nM3C                   Flemingdon Park, Don Mills South   \nM3H  Bathurst Manor, Downsview North, Wilson Height...   \nM3J                    Northwood Park, York University   \nM3L                                          Downsview   \nM3M                                  Downsview Central   \nM3N                                Downsview Northwest   \nM4A                                   Victoria Village   \n..                                                 ...   \nM5V  CN Tower, Bathurst Quay, Island airport, Harbo...   \nM5W                    Stn A PO Boxes 25 The Esplanade   \nM5X             First Canadian Place, Underground city   \nM6A                   Lawrence Heights, Lawrence Manor   \nM6B                                          Glencairn   \nM6C                                 Humewood-Cedarvale   \nM6E                                Caledonia-Fairbanks   \nM6G                                           Christie   \nM6H                       Dovercourt Village, Dufferin   \nM6J        Little Portugal, Toronto, Trinity\u2013Bellwoods   \nM6K       Brockton, Exhibition Place, Parkdale Village   \nM6L        Downsview, Toronto, North Park, Upwood Park   \nM6M  Del Ray, Keelesdale, Mount Dennis, Silverthorn...   \nM6N                      The Junction North, Runnymede   \nM6P                      High Park, The Junction South   \nM6R           Parkdale, Toronto, Roncesvalles, Toronto   \nM6S               Runnymede, Toronto, Swansea, Toronto   \nM7A                                       Queen's Park   \nM7R              Canada Post Gateway Processing Centre   \nM7Y  Business Reply Mail Processing Centre 969 Eastern   \nM8V       Humber Bay Shores, Mimico South, New Toronto   \nM8W           Alderwood, Toronto, Long Branch, Toronto   \nM8Y  Humber Bay, King's Mill Park, Kingsway Park So...   \nM8Z  Kingsway Park South West, Mimico, The Queenswa...   \nM9C  Bloordale Gardens, Eringate, Markland Wood, Ol...   \nM9L                                      Humber Summit   \nM9P                                          Westmount   \nM9R  Kingsview Village, Martin Grove Gardens, Richv...   \nM9V  Albion Gardens, Beaumond Heights, Humbergate, ...   \nM9W                                          Northwest   \n\n         1st Most Common Venue   2nd Most Common Venue  \\\nM1C                Golf Course                     Bar   \nM1E             Medical Center       Electronics Store   \nM1G                Coffee Shop       Korean Restaurant   \nM1H           Hakka Restaurant    Caribbean Restaurant   \nM1J                 Playground       Convenience Store   \nM1K             Discount Store        Department Store   \nM1L                   Bus Line                  Bakery   \nM1M                      Motel           Movie Theater   \nM1N            College Stadium            Skating Rink   \nM1P          Indian Restaurant  Thrift / Vintage Store   \nM1R  Middle Eastern Restaurant             Auto Garage   \nM1S                     Lounge          Clothing Store   \nM1T                Pizza Place     Fried Chicken Joint   \nM1V                       Park             Coffee Shop   \nM1W         Chinese Restaurant    Fast Food Restaurant   \nM2H         Athletics & Sports             Golf Course   \nM2J             Clothing Store    Fast Food Restaurant   \nM2K                       Caf\u00e9     Japanese Restaurant   \nM2N           Ramen Restaurant              Restaurant   \nM2P                       Park       Convenience Store   \nM2R                    Butcher           Grocery Store   \nM3A       Fast Food Restaurant       Food & Drink Shop   \nM3B             Baseball Field    Gym / Fitness Center   \nM3C                        Gym           Grocery Store   \nM3H                Coffee Shop          Sandwich Place   \nM3J         Falafel Restaurant             Coffee Shop   \nM3L              Grocery Store                   Hotel   \nM3M             Baseball Field            Home Service   \nM3N       Gym / Fitness Center      Athletics & Sports   \nM4A               Intersection             Coffee Shop   \n..                         ...                     ...   \nM5V            Airport Service          Airport Lounge   \nM5W                Coffee Shop                    Caf\u00e9   \nM5X                       Caf\u00e9             Coffee Shop   \nM6A     Furniture / Home Store          Clothing Store   \nM6B                       Park        Asian Restaurant   \nM6C                      Field                   Trail   \nM6E                       Park           Women's Store   \nM6G              Grocery Store                    Caf\u00e9   \nM6H                Supermarket                  Bakery   \nM6J                        Bar             Men's Store   \nM6K             Breakfast Spot                    Caf\u00e9   \nM6L           Basketball Court                    Park   \nM6M             Sandwich Place              Restaurant   \nM6N                Pizza Place           Grocery Store   \nM6P                       Caf\u00e9      Mexican Restaurant   \nM6R             Breakfast Spot               Gift Shop   \nM6S                Coffee Shop             Pizza Place   \nM7A                Coffee Shop                    Park   \nM7R                Coffee Shop                   Hotel   \nM7Y                Yoga Studio           Garden Center   \nM8V                        Gym     American Restaurant   \nM8W                Pizza Place             Coffee Shop   \nM8Y             Baseball Field                    Park   \nM8Z                        Gym           Tanning Salon   \nM9C                       Caf\u00e9            Liquor Store   \nM9L                Pizza Place     Empanada Restaurant   \nM9P                Pizza Place            Intersection   \nM9R                       Park       Mobile Phone Shop   \nM9V              Grocery Store             Coffee Shop   \nM9W                  Drugstore     Rental Car Location   \n\n          3rd Most Common Venue       4th Most Common Venue  \\\nM1C                 Yoga Studio                   Drugstore   \nM1E                         Spa                Intersection   \nM1G            Insurance Office         Dumpling Restaurant   \nM1H                        Bank                      Bakery   \nM1J                 Yoga Studio         Dumpling Restaurant   \nM1K                 Bus Station                  Hobby Shop   \nM1L                        Park               Metro Station   \nM1M         American Restaurant            Department Store   \nM1N       General Entertainment                        Caf\u00e9   \nM1P                   Pet Store       Vietnamese Restaurant   \nM1R              Breakfast Spot               Shopping Mall   \nM1S                Skating Rink              Breakfast Spot   \nM1T          Italian Restaurant                        Bank   \nM1V                  Playground                 Yoga Studio   \nM1W                         Gym                 Coffee Shop   \nM2H                     Dog Run    Mediterranean Restaurant   \nM2J                 Coffee Shop               Women's Store   \nM2K                        Bank          Chinese Restaurant   \nM2N                 Coffee Shop         Japanese Restaurant   \nM2P                        Bank                 Yoga Studio   \nM2R                    Pharmacy                 Pizza Place   \nM3A                        Park                       Diner   \nM3B         Japanese Restaurant        Caribbean Restaurant   \nM3C            Asian Restaurant                 Coffee Shop   \nM3H                 Supermarket            Sushi Restaurant   \nM3J        Caribbean Restaurant                         Bar   \nM3L                        Park                        Bank   \nM3M                  Food Truck                 Yoga Studio   \nM3N               Grocery Store                Liquor Store   \nM4A                Hockey Arena       Portuguese Restaurant   \n..                          ...                         ...   \nM5V            Airport Terminal             Harbor / Marina   \nM5W                  Restaurant          Seafood Restaurant   \nM5X                       Hotel                   Gastropub   \nM6A                 Coffee Shop                    Boutique   \nM6B            Sushi Restaurant                         Pub   \nM6C                Hockey Arena                       Diner   \nM6E                    Pharmacy        Fast Food Restaurant   \nM6G                        Park                  Restaurant   \nM6H                    Pharmacy        Fast Food Restaurant   \nM6J            Asian Restaurant                 Coffee Shop   \nM6K                 Coffee Shop                         Gym   \nM6L                      Bakery  Construction & Landscaping   \nM6M              Discount Store           Convenience Store   \nM6N                    Bus Line        Caribbean Restaurant   \nM6P                         Bar               Grocery Store   \nM6R                  Restaurant               Movie Theater   \nM6S                        Caf\u00e9            Sushi Restaurant   \nM7A                         Gym         Japanese Restaurant   \nM7R         American Restaurant        Gym / Fitness Center   \nM7Y                  Skate Park          Light Rail Station   \nM8V                Liquor Store        Fast Food Restaurant   \nM8W                         Gym                    Pharmacy   \nM8Y  Construction & Landscaping                 Yoga Studio   \nM8Z           Convenience Store              Discount Store   \nM9C                    Pharmacy                 Pizza Place   \nM9L                 Yoga Studio                   Drugstore   \nM9P          Chinese Restaurant                 Coffee Shop   \nM9R                 Pizza Place                    Bus Line   \nM9V                 Pizza Place              Sandwich Place   \nM9W                         Bar                Dessert Shop   \n\n           5th Most Common Venue        6th Most Common Venue  \\\nM1C                        Diner               Discount Store   \nM1E                  Pizza Place          Rental Car Location   \nM1G                        Diner               Discount Store   \nM1H          Fried Chicken Joint              Thai Restaurant   \nM1J                        Diner               Discount Store   \nM1K                  Coffee Shop            Convenience Store   \nM1L         Fast Food Restaurant                 Intersection   \nM1M           Dim Sum Restaurant                        Diner   \nM1N                   Donut Shop           Dim Sum Restaurant   \nM1P    Latin American Restaurant           Chinese Restaurant   \nM1R                       Bakery               Sandwich Place   \nM1S                  Yoga Studio          Dumpling Restaurant   \nM1T         Fast Food Restaurant                     Pharmacy   \nM1V                   Donut Shop           Dim Sum Restaurant   \nM1W               Sandwich Place                   Nail Salon   \nM2H                         Pool  Eastern European Restaurant   \nM2J                       Bakery                   Shoe Store   \nM2K                  Yoga Studio               Discount Store   \nM2N             Sushi Restaurant               Sandwich Place   \nM2P          Dumpling Restaurant               Discount Store   \nM2R                  Coffee Shop               Discount Store   \nM3A               Discount Store                      Dog Run   \nM3B                         Caf\u00e9                  Yoga Studio   \nM3C                   Beer Store               Sandwich Place   \nM3H                Deli / Bodega    Middle Eastern Restaurant   \nM3J       Furniture / Home Store               Massage Studio   \nM3L                  Yoga Studio                        Diner   \nM3M               Discount Store                      Dog Run   \nM3N               Discount Store                  Yoga Studio   \nM4A                    Drugstore           Dim Sum Restaurant   \n..                           ...                          ...   \nM5V                Boat or Ferry                      Airport   \nM5W                     Beer Bar           Italian Restaurant   \nM5X           Seafood Restaurant                          Bar   \nM6A                   Shoe Store           Miscellaneous Shop   \nM6B          Japanese Restaurant                      Dog Run   \nM6C               Discount Store                      Dog Run   \nM6E                       Market                  Yoga Studio   \nM6G                    Nightclub           Italian Restaurant   \nM6H                         Bank    Middle Eastern Restaurant   \nM6J                         Caf\u00e9      New American Restaurant   \nM6K                 Climbing Gym                Burrito Place   \nM6L  Eastern European Restaurant                      Dog Run   \nM6M        Check Cashing Service                  Yoga Studio   \nM6N                  Yoga Studio                   Donut Shop   \nM6P              Thai Restaurant                    Bookstore   \nM6R  Eastern European Restaurant                          Bar   \nM6S                          Gym                   Restaurant   \nM7A             Sushi Restaurant           Persian Restaurant   \nM7R    Middle Eastern Restaurant               Sandwich Place   \nM7Y               Farmers Market                          Spa   \nM8V               Sandwich Place           Mexican Restaurant   \nM8W                 Skating Rink               Sandwich Place   \nM8Y               Discount Store                      Dog Run   \nM8Z                Burrito Place                 Burger Joint   \nM9C                   Beer Store            Convenience Store   \nM9L                        Diner               Discount Store   \nM9P               Sandwich Place    Middle Eastern Restaurant   \nM9R                   Donut Shop                        Diner   \nM9V         Fast Food Restaurant                   Beer Store   \nM9W                        Diner               Discount Store   \n\n        7th Most Common Venue      8th Most Common Venue  \\\nM1C                   Dog Run           Doner Restaurant   \nM1E            Breakfast Spot         Mexican Restaurant   \nM1G                   Dog Run           Doner Restaurant   \nM1H        Athletics & Sports            Coworking Space   \nM1J                   Dog Run           Doner Restaurant   \nM1K       Dumpling Restaurant                    Dog Run   \nM1L              Soccer Field             Discount Store   \nM1M            Discount Store                    Dog Run   \nM1N                     Diner             Discount Store   \nM1P               Yoga Studio         Dim Sum Restaurant   \nM1R                Donut Shop             Discount Store   \nM1S            Discount Store                    Dog Run   \nM1T              Noodle House              Shopping Mall   \nM1V                     Diner             Discount Store   \nM1W            Breakfast Spot                Pizza Place   \nM2H         Electronics Store        Empanada Restaurant   \nM2J       Japanese Restaurant                 Food Court   \nM2K                   Dog Run           Doner Restaurant   \nM2N                      Caf\u00e9             Ice Cream Shop   \nM2P                   Dog Run           Doner Restaurant   \nM2R          Doner Restaurant               Dessert Shop   \nM3A          Doner Restaurant                 Donut Shop   \nM3B            Discount Store                    Dog Run   \nM3C                Restaurant                       Caf\u00e9   \nM3H                      Bank        Fried Chicken Joint   \nM3J       Empanada Restaurant          Electronics Store   \nM3L            Discount Store                    Dog Run   \nM3M          Doner Restaurant                 Donut Shop   \nM3N       Dumpling Restaurant                    Dog Run   \nM4A                     Diner             Discount Store   \n..                        ...                        ...   \nM5V        Airport Food Court               Airport Gate   \nM5W                     Hotel               Cocktail Bar   \nM5X                Restaurant                     Bakery   \nM6A               Event Space          Accessories Store   \nM6B        Dim Sum Restaurant                      Diner   \nM6C          Doner Restaurant                 Donut Shop   \nM6E                Donut Shop         Dim Sum Restaurant   \nM6G        Athletics & Sports                      Diner   \nM6H                      Caf\u00e9             Discount Store   \nM6J              Cocktail Bar                Pizza Place   \nM6K                   Stadium                        Bar   \nM6L          Doner Restaurant                 Donut Shop   \nM6M          Doner Restaurant                      Diner   \nM6N                     Diner             Discount Store   \nM6P      Fast Food Restaurant                Flea Market   \nM6R                      Bank                    Dog Run   \nM6S        Italian Restaurant  Latin American Restaurant   \nM7A             Smoothie Shop         Seafood Restaurant   \nM7R  Mediterranean Restaurant              Burrito Place   \nM7Y      Fast Food Restaurant                    Brewery   \nM8V                      Caf\u00e9                 Restaurant   \nM8W        Athletics & Sports                       Pool   \nM8Y          Doner Restaurant                 Donut Shop   \nM8Z            Sandwich Place       Fast Food Restaurant   \nM9C                 Drugstore                      Diner   \nM9L                   Dog Run           Doner Restaurant   \nM9P        Dim Sum Restaurant                      Diner   \nM9R            Discount Store                    Dog Run   \nM9V       Fried Chicken Joint                Video Store   \nM9W                   Dog Run           Doner Restaurant   \n\n           9th Most Common Venue       10th Most Common Venue  \nM1C                   Donut Shop          Dumpling Restaurant  \nM1E                      Dog Run                        Diner  \nM1G                   Donut Shop                    Drugstore  \nM1H                     Creperie           Falafel Restaurant  \nM1J                   Donut Shop                    Drugstore  \nM1K             Doner Restaurant                   Donut Shop  \nM1L                      Dog Run             Doner Restaurant  \nM1M             Doner Restaurant                   Donut Shop  \nM1N                      Dog Run             Doner Restaurant  \nM1P                        Diner               Discount Store  \nM1R                      Dog Run             Doner Restaurant  \nM1S             Doner Restaurant                   Donut Shop  \nM1T              Thai Restaurant           Chinese Restaurant  \nM1V                      Dog Run             Doner Restaurant  \nM1W                     Pharmacy                Grocery Store  \nM2H          Dumpling Restaurant             Department Store  \nM2J             Asian Restaurant                   Restaurant  \nM2K                   Donut Shop                    Drugstore  \nM2N                   Steakhouse        Indonesian Restaurant  \nM2P                   Donut Shop                    Drugstore  \nM2R           Dim Sum Restaurant                        Diner  \nM3A                    Drugstore          Dumpling Restaurant  \nM3B             Doner Restaurant                   Donut Shop  \nM3C           Dim Sum Restaurant               Discount Store  \nM3H           Frozen Yogurt Shop                        Diner  \nM3J  Eastern European Restaurant           Dim Sum Restaurant  \nM3L             Doner Restaurant                   Donut Shop  \nM3M                    Drugstore          Dumpling Restaurant  \nM3N             Doner Restaurant                   Donut Shop  \nM4A                      Dog Run             Doner Restaurant  \n..                           ...                          ...  \nM5V                     Boutique             Sculpture Garden  \nM5W                       Lounge                  Art Gallery  \nM5X                   Steakhouse                 Burger Joint  \nM6A                Women's Store        Vietnamese Restaurant  \nM6B               Discount Store             Doner Restaurant  \nM6C                    Drugstore          Dumpling Restaurant  \nM6E                        Diner               Discount Store  \nM6G                   Baby Store            Convenience Store  \nM6H        Portuguese Restaurant                         Pool  \nM6J                   Restaurant                       Bakery  \nM6K           Italian Restaurant                   Restaurant  \nM6L                    Drugstore          Dumpling Restaurant  \nM6M                      Dog Run                   Donut Shop  \nM6N                      Dog Run             Doner Restaurant  \nM6P                    Speakeasy    Cajun / Creole Restaurant  \nM6R           Italian Restaurant                 Dessert Shop  \nM6S                         Food          Indie Movie Theater  \nM7A               Sandwich Place                 Burger Joint  \nM7R          Fried Chicken Joint             Doner Restaurant  \nM7Y                Burrito Place                   Restaurant  \nM8V                       Bakery          Fried Chicken Joint  \nM8W                          Pub                  Yoga Studio  \nM8Y                    Drugstore          Dumpling Restaurant  \nM8Z                  Flower Shop                       Bakery  \nM9C               Discount Store                      Dog Run  \nM9L                   Donut Shop  Eastern European Restaurant  \nM9P               Discount Store                      Dog Run  \nM9R             Doner Restaurant                    Drugstore  \nM9V                     Pharmacy  Eastern European Restaurant  \nM9W                   Donut Shop                  Yoga Studio  \n\n[92 rows x 11 columns]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "df_grouped_merged.loc[df_grouped_merged['Cluster Labels'] == 0, df_grouped_merged.columns[[1] + list(range(5, df_grouped_merged.shape[1]))]]"
        }, 
        {
            "execution_count": 78, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 78, 
                    "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>M1B</th>\n      <td>Rouge, Toronto, Malvern, Toronto</td>\n      <td>Fast Food Restaurant</td>\n      <td>Drugstore</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Yoga Studio</td>\n      <td>Dessert Shop</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                         neighborhood 1st Most Common Venue  \\\nM1B  Rouge, Toronto, Malvern, Toronto  Fast Food Restaurant   \n\n    2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\nM1B             Drugstore    Dim Sum Restaurant                 Diner   \n\n    5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\nM1B        Discount Store               Dog Run      Doner Restaurant   \n\n    8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \nM1B            Donut Shop           Yoga Studio           Dessert Shop  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "df_grouped_merged.loc[df_grouped_merged['Cluster Labels'] == 1, df_grouped_merged.columns[[1] + list(range(5, df_grouped_merged.shape[1]))]]"
        }, 
        {
            "execution_count": 79, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 79, 
                    "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>M3K</th>\n      <td>CFB Toronto, Downsview East</td>\n      <td>Park</td>\n      <td>Airport</td>\n      <td>Yoga Studio</td>\n      <td>Dumpling Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M4W</th>\n      <td>Rosedale, Toronto</td>\n      <td>Park</td>\n      <td>Trail</td>\n      <td>Playground</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M8X</th>\n      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n      <td>Park</td>\n      <td>River</td>\n      <td>Yoga Studio</td>\n      <td>Donut Shop</td>\n      <td>Dim Sum Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Drugstore</td>\n    </tr>\n    <tr>\n      <th>M9N</th>\n      <td>Weston, Toronto</td>\n      <td>Park</td>\n      <td>Yoga Studio</td>\n      <td>Dumpling Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n      <td>Eastern European Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                      neighborhood 1st Most Common Venue  \\\nM3K                    CFB Toronto, Downsview East                  Park   \nM4W                              Rosedale, Toronto                  Park   \nM8X  The Kingsway, Montgomery Road, Old Mill North                  Park   \nM9N                                Weston, Toronto                  Park   \n\n    2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\nM3K               Airport           Yoga Studio   Dumpling Restaurant   \nM4W                 Trail            Playground    Dim Sum Restaurant   \nM8X                 River           Yoga Studio            Donut Shop   \nM9N           Yoga Studio   Dumpling Restaurant                 Diner   \n\n    5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\nM3K                 Diner        Discount Store               Dog Run   \nM4W                 Diner        Discount Store               Dog Run   \nM8X    Dim Sum Restaurant                 Diner        Discount Store   \nM9N        Discount Store               Dog Run      Doner Restaurant   \n\n    8th Most Common Venue 9th Most Common Venue       10th Most Common Venue  \nM3K      Doner Restaurant            Donut Shop                    Drugstore  \nM4W      Doner Restaurant            Donut Shop                    Drugstore  \nM8X               Dog Run      Doner Restaurant                    Drugstore  \nM9N            Donut Shop             Drugstore  Eastern European Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "df_grouped_merged.loc[df_grouped_merged['Cluster Labels'] == 2, df_grouped_merged.columns[[1] + list(range(5, df_grouped_merged.shape[1]))]]\n"
        }, 
        {
            "execution_count": 80, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 80, 
                    "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>M9B</th>\n      <td>Cloverdale, Islington, Toronto, Martin Grove, ...</td>\n      <td>Bank</td>\n      <td>Yoga Studio</td>\n      <td>Drugstore</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Dumpling Restaurant</td>\n      <td>Fast Food Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                          neighborhood 1st Most Common Venue  \\\nM9B  Cloverdale, Islington, Toronto, Martin Grove, ...                  Bank   \n\n    2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\nM9B           Yoga Studio             Drugstore                 Diner   \n\n    5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\nM9B        Discount Store               Dog Run      Doner Restaurant   \n\n    8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \nM9B            Donut Shop   Dumpling Restaurant   Fast Food Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "df_grouped_merged.loc[df_grouped_merged['Cluster Labels'] == 3, df_grouped_merged.columns[[1] + list(range(5, df_grouped_merged.shape[1]))]]"
        }, 
        {
            "execution_count": 81, 
            "cell_type": "code", 
            "metadata": {
                "scrolled": true
            }, 
            "outputs": [
                {
                    "execution_count": 81, 
                    "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>M9M</th>\n      <td>Emery, Toronto, Humberlea</td>\n      <td>Baseball Field</td>\n      <td>Dumpling Restaurant</td>\n      <td>Diner</td>\n      <td>Discount Store</td>\n      <td>Dog Run</td>\n      <td>Doner Restaurant</td>\n      <td>Donut Shop</td>\n      <td>Drugstore</td>\n      <td>Yoga Studio</td>\n      <td>Fast Food Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                  neighborhood 1st Most Common Venue 2nd Most Common Venue  \\\nM9M  Emery, Toronto, Humberlea        Baseball Field   Dumpling Restaurant   \n\n    3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\nM9M                 Diner        Discount Store               Dog Run   \n\n    6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\nM9M      Doner Restaurant            Donut Shop             Drugstore   \n\n    9th Most Common Venue 10th Most Common Venue  \nM9M           Yoga Studio   Fast Food Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "df_grouped_merged.loc[df_grouped_merged['Cluster Labels'] == 4, df_grouped_merged.columns[[1] + list(range(5, df_grouped_merged.shape[1]))]]"
        }
    ], 
    "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
}