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adityantamarapu/TorontohoodsSeg.ipynb

Created June 5, 2020 12:34
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TorontohoodsSeg.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Getting the data and pouring it into a Dataframe\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"# import html5lib\n",
"# from bs4 import BeautifulSoup\n",
"df=pd.read_html(\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"df=df[0]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Postal Code</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M1A</td>\n",
" <td>Not assigned</td>\n",
" <td>Not assigned</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M2A</td>\n",
" <td>Not assigned</td>\n",
" <td>Not assigned</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M3A</td>\n",
" <td>North York</td>\n",
" <td>Parkwoods</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M4A</td>\n",
" <td>North York</td>\n",
" <td>Victoria Village</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M5A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Regent Park, Harbourfront</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Postal Code Borough Neighborhood\n",
"0 M1A Not assigned Not assigned\n",
"1 M2A Not assigned Not assigned\n",
"2 M3A North York Parkwoods\n",
"3 M4A North York Victoria Village\n",
"4 M5A Downtown Toronto Regent Park, Harbourfront"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Cleaning the dataset"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# # vc=df[\"Postal Code\"].value_counts()\n",
"# for i in vc:\n",
"# if vc[i]>1:\n",
" \n",
"# print( \"t\")\n",
"# else :\n",
"# print(\"no\")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"df.reset_index(inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"df.drop(\"index\",axis=1,inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Postal Code</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M1B</td>\n",
" <td>Scarborough</td>\n",
" <td>Malvern, Rouge</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M1C</td>\n",
" <td>Scarborough</td>\n",
" <td>Rouge Hill, Port Union, Highland Creek</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M1E</td>\n",
" <td>Scarborough</td>\n",
" <td>Guildwood, Morningside, West Hill</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1G</td>\n",
" <td>Scarborough</td>\n",
" <td>Woburn</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M1H</td>\n",
" <td>Scarborough</td>\n",
" <td>Cedarbrae</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Postal Code Borough Neighborhood\n",
"0 M1B Scarborough Malvern, Rouge\n",
"1 M1C Scarborough Rouge Hill, Port Union, Highland Creek\n",
"2 M1E Scarborough Guildwood, Morningside, West Hill\n",
"3 M1G Scarborough Woburn\n",
"4 M1H Scarborough Cedarbrae"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(180, 3)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"for i in (df['Postal Code'].value_counts() > 1):\n",
" if i==\"True\":\n",
" print(i)\n",
" else :\n",
" print(\"None\")"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"df=df[df.Borough!='Not assigned']\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(103, 3)"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Postal Code 0\n",
"Borough 0\n",
"Neighborhood 0\n",
"dtype: int64"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df.Neighborhood=='Not assigned'].count()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get Latitude and Longitude"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Postal Code</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M1B</td>\n",
" <td>43.806686</td>\n",
" <td>-79.194353</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M1C</td>\n",
" <td>43.784535</td>\n",
" <td>-79.160497</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M1E</td>\n",
" <td>43.763573</td>\n",
" <td>-79.188711</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1G</td>\n",
" <td>43.770992</td>\n",
" <td>-79.216917</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M1H</td>\n",
" <td>43.773136</td>\n",
" <td>-79.239476</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>M9N</td>\n",
" <td>43.706876</td>\n",
" <td>-79.518188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>M9P</td>\n",
" <td>43.696319</td>\n",
" <td>-79.532242</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>M9R</td>\n",
" <td>43.688905</td>\n",
" <td>-79.554724</td>\n",
" </tr>\n",
" <tr>\n",
" <th>101</th>\n",
" <td>M9V</td>\n",
" <td>43.739416</td>\n",
" <td>-79.588437</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102</th>\n",
" <td>M9W</td>\n",
" <td>43.706748</td>\n",
" <td>-79.594054</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>103 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" Postal Code Latitude Longitude\n",
"0 M1B 43.806686 -79.194353\n",
"1 M1C 43.784535 -79.160497\n",
"2 M1E 43.763573 -79.188711\n",
"3 M1G 43.770992 -79.216917\n",
"4 M1H 43.773136 -79.239476\n",
".. ... ... ...\n",
"98 M9N 43.706876 -79.518188\n",
"99 M9P 43.696319 -79.532242\n",
"100 M9R 43.688905 -79.554724\n",
"101 M9V 43.739416 -79.588437\n",
"102 M9W 43.706748 -79.594054\n",
"\n",
"[103 rows x 3 columns]"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#I failed to use geocoder. I tried a for loop on the while loop calling geocoder for every postal code.But , it didnt seem to work.\n",
"dfll=pd.read_csv(\"Geospatial_Coordinates.csv\")\n",
"dfll"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"df.sort_values(by=[\"Postal Code\"],inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Postal Code</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M1B</td>\n",
" <td>Scarborough</td>\n",
" <td>Malvern, Rouge</td>\n",
" <td>43.806686</td>\n",
" <td>-79.194353</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M1C</td>\n",
" <td>Scarborough</td>\n",
" <td>Rouge Hill, Port Union, Highland Creek</td>\n",
" <td>43.784535</td>\n",
" <td>-79.160497</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M1E</td>\n",
" <td>Scarborough</td>\n",
" <td>Guildwood, Morningside, West Hill</td>\n",
" <td>43.763573</td>\n",
" <td>-79.188711</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1G</td>\n",
" <td>Scarborough</td>\n",
" <td>Woburn</td>\n",
" <td>43.770992</td>\n",
" <td>-79.216917</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M1H</td>\n",
" <td>Scarborough</td>\n",
" <td>Cedarbrae</td>\n",
" <td>43.773136</td>\n",
" <td>-79.239476</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>M9N</td>\n",
" <td>York</td>\n",
" <td>Weston</td>\n",
" <td>43.706876</td>\n",
" <td>-79.518188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>M9P</td>\n",
" <td>Etobicoke</td>\n",
" <td>Westmount</td>\n",
" <td>43.696319</td>\n",
" <td>-79.532242</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>M9R</td>\n",
" <td>Etobicoke</td>\n",
" <td>Kingsview Village, St. Phillips, Martin Grove ...</td>\n",
" <td>43.688905</td>\n",
" <td>-79.554724</td>\n",
" </tr>\n",
" <tr>\n",
" <th>101</th>\n",
" <td>M9V</td>\n",
" <td>Etobicoke</td>\n",
" <td>South Steeles, Silverstone, Humbergate, Jamest...</td>\n",
" <td>43.739416</td>\n",
" <td>-79.588437</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102</th>\n",
" <td>M9W</td>\n",
" <td>Etobicoke</td>\n",
" <td>Northwest, West Humber - Clairville</td>\n",
" <td>43.706748</td>\n",
" <td>-79.594054</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>103 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" Postal Code Borough \\\n",
"0 M1B Scarborough \n",
"1 M1C Scarborough \n",
"2 M1E Scarborough \n",
"3 M1G Scarborough \n",
"4 M1H Scarborough \n",
".. ... ... \n",
"98 M9N York \n",
"99 M9P Etobicoke \n",
"100 M9R Etobicoke \n",
"101 M9V Etobicoke \n",
"102 M9W Etobicoke \n",
"\n",
" Neighborhood Latitude Longitude \n",
"0 Malvern, Rouge 43.806686 -79.194353 \n",
"1 Rouge Hill, Port Union, Highland Creek 43.784535 -79.160497 \n",
"2 Guildwood, Morningside, West Hill 43.763573 -79.188711 \n",
"3 Woburn 43.770992 -79.216917 \n",
"4 Cedarbrae 43.773136 -79.239476 \n",
".. ... ... ... \n",
"98 Weston 43.706876 -79.518188 \n",
"99 Westmount 43.696319 -79.532242 \n",
"100 Kingsview Village, St. Phillips, Martin Grove ... 43.688905 -79.554724 \n",
"101 South Steeles, Silverstone, Humbergate, Jamest... 43.739416 -79.588437 \n",
"102 Northwest, West Humber - Clairville 43.706748 -79.594054 \n",
"\n",
"[103 rows x 5 columns]"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df3=pd.concat([df,dfll['Latitude'],dfll['Longitude']],axis=1)\n",
"df3"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"North York 24\n",
"Downtown Toronto 19\n",
"Scarborough 17\n",
"Etobicoke 12\n",
"Central Toronto 9\n",
"West Toronto 6\n",
"York 5\n",
"East York 5\n",
"East Toronto 5\n",
"Mississauga 1\n",
"Name: Borough, dtype: int64"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df3['Borough'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"df4=pd.DataFrame()\n",
"for e,i in enumerate(df3['Borough']):\n",
" if 'Toronto' in i:\n",
" df4=pd.concat([df4,df3.iloc[e]],axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"df4=df4.transpose()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Downtown Toronto 19\n",
"Central Toronto 9\n",
"West Toronto 6\n",
"East Toronto 5\n",
"Name: Borough, dtype: int64"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df4['Borough'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Postal Code</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.6764</td>\n",
" <td>-79.293</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M4K</td>\n",
" <td>East Toronto</td>\n",
" <td>The Danforth West, Riverdale</td>\n",
" <td>43.6796</td>\n",
" <td>-79.3522</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4L</td>\n",
" <td>East Toronto</td>\n",
" <td>India Bazaar, The Beaches West</td>\n",
" <td>43.669</td>\n",
" <td>-79.3156</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M4M</td>\n",
" <td>East Toronto</td>\n",
" <td>Studio District</td>\n",
" <td>43.6595</td>\n",
" <td>-79.3409</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M4N</td>\n",
" <td>Central Toronto</td>\n",
" <td>Lawrence Park</td>\n",
" <td>43.728</td>\n",
" <td>-79.3888</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Postal Code Borough Neighborhood Latitude \\\n",
"0 M4E East Toronto The Beaches 43.6764 \n",
"1 M4K East Toronto The Danforth West, Riverdale 43.6796 \n",
"2 M4L East Toronto India Bazaar, The Beaches West 43.669 \n",
"3 M4M East Toronto Studio District 43.6595 \n",
"4 M4N Central Toronto Lawrence Park 43.728 \n",
"\n",
" Longitude \n",
"0 -79.293 \n",
"1 -79.3522 \n",
"2 -79.3156 \n",
"3 -79.3409 \n",
"4 -79.3888 "
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df4.head()"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"df4.reset_index(inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"df4.drop('index',axis=1,inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Building the Map"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
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  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b9e520a47ac4d70ae2a7164b05237cc);
            
    
            var popup_a28c3fd1339a4989b01925e77737cd95 = L.popup({maxWidth: '300'});

            
                var html_6e0c1fc7f91247a5bbab761af81812a3 = $('<div id="html_6e0c1fc7f91247a5bbab761af81812a3" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity,West Toronto</div>')[0];
                popup_a28c3fd1339a4989b01925e77737cd95.setContent(html_6e0c1fc7f91247a5bbab761af81812a3);
            

            circle_marker_0894c64b4053467989ed454f319108f9.bindPopup(popup_a28c3fd1339a4989b01925e77737cd95);

            
        
    
            var circle_marker_eacc2d9f565f4002b724c87899eae45d = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b9e520a47ac4d70ae2a7164b05237cc);
            
    
            var popup_15e7ec3e33c94f2ab6815c6de650ea7a = L.popup({maxWidth: '300'});

            
                var html_16e567e39a884cceabf3f3426341df3d = $('<div id="html_16e567e39a884cceabf3f3426341df3d" style="width: 100.0%; height: 100.0%;">Brockton, Parkdale Village, Exhibition Place,West Toronto</div>')[0];
                popup_15e7ec3e33c94f2ab6815c6de650ea7a.setContent(html_16e567e39a884cceabf3f3426341df3d);
            

            circle_marker_eacc2d9f565f4002b724c87899eae45d.bindPopup(popup_15e7ec3e33c94f2ab6815c6de650ea7a);

            
        
    
            var circle_marker_dbb84f4d360d402491e423b624b10f11 = L.circleMarker(
                [43.6616083,-79.46476329999999],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b9e520a47ac4d70ae2a7164b05237cc);
            
    
            var popup_d5dd550649d44307930342fe10940257 = L.popup({maxWidth: '300'});

            
                var html_f860136b9df640de8d85462a3143b759 = $('<div id="html_f860136b9df640de8d85462a3143b759" style="width: 100.0%; height: 100.0%;">High Park, The Junction South,West Toronto</div>')[0];
                popup_d5dd550649d44307930342fe10940257.setContent(html_f860136b9df640de8d85462a3143b759);
            

            circle_marker_dbb84f4d360d402491e423b624b10f11.bindPopup(popup_d5dd550649d44307930342fe10940257);

            
        
    
            var circle_marker_a96367a92954451d856191c079013460 = L.circleMarker(
                [43.6489597,-79.456325],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b9e520a47ac4d70ae2a7164b05237cc);
            
    
            var popup_c748d17779374c868d2972fd1a785304 = L.popup({maxWidth: '300'});

            
                var html_14404a8dd47e4a3789fefb5db32e448b = $('<div id="html_14404a8dd47e4a3789fefb5db32e448b" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles,West Toronto</div>')[0];
                popup_c748d17779374c868d2972fd1a785304.setContent(html_14404a8dd47e4a3789fefb5db32e448b);
            

            circle_marker_a96367a92954451d856191c079013460.bindPopup(popup_c748d17779374c868d2972fd1a785304);

            
        
    
            var circle_marker_cf6ee4d5bf9c4f38b3343fcfa8ff27fe = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b9e520a47ac4d70ae2a7164b05237cc);
            
    
            var popup_7325b00bcf9542e4b2d3211e78eb2386 = L.popup({maxWidth: '300'});

            
                var html_1a200bf50c83451785b0f193b4390391 = $('<div id="html_1a200bf50c83451785b0f193b4390391" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea,West Toronto</div>')[0];
                popup_7325b00bcf9542e4b2d3211e78eb2386.setContent(html_1a200bf50c83451785b0f193b4390391);
            

            circle_marker_cf6ee4d5bf9c4f38b3343fcfa8ff27fe.bindPopup(popup_7325b00bcf9542e4b2d3211e78eb2386);

            
        
    
            var circle_marker_61d96886c9524c3f850439d34a63e81c = L.circleMarker(
                [43.6623015,-79.3894938],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b9e520a47ac4d70ae2a7164b05237cc);
            
    
            var popup_211b743307cd4f1783cb0e94e7492026 = L.popup({maxWidth: '300'});

            
                var html_ee2219bccdb44eca9b85217fc53e79e0 = $('<div id="html_ee2219bccdb44eca9b85217fc53e79e0" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park, Ontario Provincial Government,Downtown Toronto</div>')[0];
                popup_211b743307cd4f1783cb0e94e7492026.setContent(html_ee2219bccdb44eca9b85217fc53e79e0);
            

            circle_marker_61d96886c9524c3f850439d34a63e81c.bindPopup(popup_211b743307cd4f1783cb0e94e7492026);

            
        
    
            var circle_marker_780070a8030f45d1b080639503326a3a = L.circleMarker(
                [43.6627439,-79.321558],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b9e520a47ac4d70ae2a7164b05237cc);
            
    
            var popup_5bb5bfdaeb054ce390437edd2f17b42f = L.popup({maxWidth: '300'});

            
                var html_1ad4d0a8025041a1a72fe0ad1aa09c65 = $('<div id="html_1ad4d0a8025041a1a72fe0ad1aa09c65" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto,East Toronto</div>')[0];
                popup_5bb5bfdaeb054ce390437edd2f17b42f.setContent(html_1ad4d0a8025041a1a72fe0ad1aa09c65);
            

            circle_marker_780070a8030f45d1b080639503326a3a.bindPopup(popup_5bb5bfdaeb054ce390437edd2f17b42f);

            
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7f2d549952b0>"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import folium\n",
"maptoronto=folium.Map([43.651070,-79.347015],zoom_start=10)\n",
"for lat,lng,bor,neigh in zip(df4['Latitude'],df4['Longitude'],df4['Borough'],df4['Neighborhood']):\n",
" lable=neigh+','+bor\n",
" lable=folium.Popup(lable,parse_html=True)\n",
" folium.CircleMarker(\n",
" [lat,lng],\n",
" radius=5,\n",
" popup=lable,\n",
" color='blue',\n",
" fill=True,\n",
" fill_color='#3186cc',\n",
" fill_opacity=0.7,\n",
" parse_html=False).add_to(maptoronto)\n",
"maptoronto"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Accessing Foursquare Data"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"CLIENT_ID = 'NM2ZJ4MDHZEN140JF3CDFT5JKTFY5XKPACFFJV1LR2ORR3W0' # your Foursquare ID\n",
"CLIENT_SECRET = 'GYL1KCRUWNUQKY51A5E4FKOLYSAEG4C4GIO2VEFUNITJYZFC' # your Foursquare Secret\n",
"VERSION = '20180605' "
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'https://api.foursquare.com/v2/venues/search?client_id=NM2ZJ4MDHZEN140JF3CDFT5JKTFY5XKPACFFJV1LR2ORR3W0&client_secret=GYL1KCRUWNUQKY51A5E4FKOLYSAEG4C4GIO2VEFUNITJYZFC&ll=43.67635739999999,-79.2930312&v=20180605&radius=500&limit=100'"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lat1=df4.loc[0,'Latitude']\n",
"lng1=df4.loc[0,'Longitude']\n",
"LIMIT=100\n",
"radius=500\n",
"url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, lat1,lng1, VERSION, radius, LIMIT)\n",
"url"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true
}
},
"outputs": [
{
"data": {
"text/plain": [
"{'meta': {'code': 200, 'requestId': '5eda3303d03993001b899ea3'},\n",
" 'response': {'venues': [{'id': '4bd461bc77b29c74a07d9282',\n",
" 'name': 'Glen Manor Ravine',\n",
" 'location': {'address': 'Glen Manor',\n",
" 'crossStreet': 'Queen St.',\n",
" 'lat': 43.67682094413784,\n",
" 'lng': -79.29394208780985,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.67682094413784,\n",
" 'lng': -79.29394208780985}],\n",
" 'distance': 89,\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['Glen Manor (Queen St.)', 'Toronto ON', 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d159941735',\n",
" 'name': 'Trail',\n",
" 'pluralName': 'Trails',\n",
" 'shortName': 'Trail',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/hikingtrail_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '4bf9a4ac4a67c928773a27cf',\n",
" 'name': 'Kew-Balmy Beach',\n",
" 'location': {'address': '2075 Queen Street E',\n",
" 'crossStreet': 'btwn Kenilworth Ave. & Lee Ave.',\n",
" 'lat': 43.66737246215608,\n",
" 'lng': -79.2953124808988,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.66737246215608,\n",
" 'lng': -79.2953124808988}],\n",
" 'distance': 1016,\n",
" 'cc': 'CA',\n",
" 'neighborhood': 'The Beaches',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['2075 Queen Street E (btwn Kenilworth Ave. & Lee Ave.)',\n",
" 'Toronto ON',\n",
" 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d1e2941735',\n",
" 'name': 'Beach',\n",
" 'pluralName': 'Beaches',\n",
" 'shortName': 'Beach',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/beach_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '5ed7d0ec7834a20008f91484',\n",
" 'name': 'La Diperie',\n",
" 'location': {'address': '2196 Queen Street E',\n",
" 'lat': 43.672273,\n",
" 'lng': -79.289849,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.672273,\n",
" 'lng': -79.289849}],\n",
" 'distance': 521,\n",
" 'postalCode': 'M4E 1E6',\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['2196 Queen Street E',\n",
" 'Toronto ON M4E 1E6',\n",
" 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d1c9941735',\n",
" 'name': 'Ice Cream Shop',\n",
" 'pluralName': 'Ice Cream Shops',\n",
" 'shortName': 'Ice Cream',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/icecream_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '4b1c19f9f964a520240224e3',\n",
" 'name': 'Intuitive Touch',\n",
" 'location': {'address': 'Queen St E',\n",
" 'crossStreet': 'Elmer',\n",
" 'lat': 43.679729,\n",
" 'lng': -79.288732,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.679729,\n",
" 'lng': -79.288732}],\n",
" 'distance': 510,\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['Queen St E (Elmer)', 'Toronto ON', 'Canada']},\n",
" 'categories': [],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '4dbc8fe96a23e294ba3237bd',\n",
" 'name': 'Glen Stewart Park',\n",
" 'location': {'address': '131 Glen Manor Drive',\n",
" 'lat': 43.67527822698259,\n",
" 'lng': -79.2946465494184,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.67527822698259,\n",
" 'lng': -79.2946465494184}],\n",
" 'distance': 177,\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['131 Glen Manor Drive', 'Toronto ON', 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d163941735',\n",
" 'name': 'Park',\n",
" 'pluralName': 'Parks',\n",
" 'shortName': 'Park',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '569bcaf3498ec64f48a1f31c',\n",
" 'name': 'No Bones About It',\n",
" 'location': {'address': '2186 Queen St E',\n",
" 'crossStreet': 'Between MacLean Ave and Balsam Ave',\n",
" 'lat': 43.672139871520905,\n",
" 'lng': -79.29041147232056,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.672139871520905,\n",
" 'lng': -79.29041147232056}],\n",
" 'distance': 514,\n",
" 'postalCode': 'M4E 1E5',\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['2186 Queen St E (Between MacLean Ave and Balsam Ave)',\n",
" 'Toronto ON M4E 1E5',\n",
" 'Canada']},\n",
" 'categories': [{'id': '5032897c91d4c4b30a586d69',\n",
" 'name': 'Pet Service',\n",
" 'pluralName': 'Pet Services',\n",
" 'shortName': 'Pet Service',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/pet_store_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '5ea88bfaa7a46800077a492c',\n",
" 'name': 'Tim Hortons',\n",
" 'location': {'address': '637 Kingston road',\n",
" 'lat': 43.67869,\n",
" 'lng': -79.298035,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.67869,\n",
" 'lng': -79.298035}],\n",
" 'distance': 479,\n",
" 'postalCode': 'M4E 1R3',\n",
" 'cc': 'CA',\n",
" 'neighborhood': 'The Beaches',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['637 Kingston road',\n",
" 'Toronto ON M4E 1R3',\n",
" 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
" 'name': 'Coffee Shop',\n",
" 'pluralName': 'Coffee Shops',\n",
" 'shortName': 'Coffee Shop',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '4bb8fa201261d13a022de998',\n",
" 'name': 'Naturalis',\n",
" 'location': {'address': 'Queen St E',\n",
" 'crossStreet': 'Balsam Av',\n",
" 'lat': 43.672193692484726,\n",
" 'lng': -79.28973156096451,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.672193692484726,\n",
" 'lng': -79.28973156096451}],\n",
" 'distance': 534,\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['Queen St E (Balsam Av)', 'Toronto ON', 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d16a941735',\n",
" 'name': 'Bakery',\n",
" 'pluralName': 'Bakeries',\n",
" 'shortName': 'Bakery',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/bakery_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '4c153eecb7b9c928afa5ac37',\n",
" 'name': 'Ivan Forrest Gardens',\n",
" 'location': {'address': '131 Glen Manor Drive',\n",
" 'lat': 43.671668858550944,\n",
" 'lng': -79.29257326450148,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.671668858550944,\n",
" 'lng': -79.29257326450148}],\n",
" 'distance': 523,\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['131 Glen Manor Drive', 'Toronto ON', 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d163941735',\n",
" 'name': 'Park',\n",
" 'pluralName': 'Parks',\n",
" 'shortName': 'Park',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '5063bc2be4b0d85d8d3b05a6',\n",
" 'name': 'The Georgian',\n",
" 'location': {'lat': 43.67439534206969,\n",
" 'lng': -79.29808622707174,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.67439534206969,\n",
" 'lng': -79.29808622707174}],\n",
" 'distance': 461,\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['Toronto ON', 'Canada']},\n",
" 'categories': [{'id': '4d954b06a243a5684965b473',\n",
" 'name': 'Residential Building (Apartment / Condo)',\n",
" 'pluralName': 'Residential Buildings (Apartments / Condos)',\n",
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" 'name': 'glen manor park',\n",
" 'location': {'lat': 43.673384,\n",
" 'lng': -79.294036,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.673384,\n",
" 'lng': -79.294036}],\n",
" 'distance': 340,\n",
" 'cc': 'CA',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d163941735',\n",
" 'name': 'Park',\n",
" 'pluralName': 'Parks',\n",
" 'shortName': 'Park',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '4c0a537d340720a1702b8693',\n",
" 'name': 'Williamson Road Playground',\n",
" 'location': {'address': '24 Williamson Road',\n",
" 'crossStreet': 'Wineva ave',\n",
" 'lat': 43.67471558167731,\n",
" 'lng': -79.29733776399658,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.67471558167731,\n",
" 'lng': -79.29733776399658}],\n",
" 'distance': 391,\n",
" 'cc': 'CA',\n",
" 'city': 'Toronto',\n",
" 'state': 'ON',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['24 Williamson Road (Wineva ave)',\n",
" 'Toronto ON',\n",
" 'Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d1e7941735',\n",
" 'name': 'Playground',\n",
" 'pluralName': 'Playgrounds',\n",
" 'shortName': 'Playground',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/playground_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False},\n",
" {'id': '52ae190c498ea486eda2b391',\n",
" 'name': 'Trim A Christmas',\n",
" 'location': {'lat': 43.67868042494029,\n",
" 'lng': -79.29794313900639,\n",
" 'labeledLatLngs': [{'label': 'display',\n",
" 'lat': 43.67868042494029,\n",
" 'lng': -79.29794313900639}],\n",
" 'distance': 472,\n",
" 'cc': 'CA',\n",
" 'country': 'Canada',\n",
" 'formattedAddress': ['Canada']},\n",
" 'categories': [{'id': '4bf58dd8d48988d1ff941735',\n",
" 'name': 'Miscellaneous Shop',\n",
" 'pluralName': 'Miscellaneous Shops',\n",
" 'shortName': 'Shop',\n",
" 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/default_',\n",
" 'suffix': '.png'},\n",
" 'primary': True}],\n",
" 'referralId': 'v-1591358337',\n",
" 'hasPerk': False}],\n",
" 'confident': False}}"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import requests\n",
"from pandas.io.json import json_normalize\n",
"results=requests.get(url).json()\n",
"results"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
" \n",
" venues_list=[]\n",
" for name, lat, lng in zip(names, latitudes, longitudes):\n",
" print(name)\n",
" \n",
" # create the API request URL\n",
" url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
" CLIENT_ID, \n",
" CLIENT_SECRET, \n",
" VERSION, \n",
" lat, \n",
" lng, \n",
" radius, \n",
" LIMIT)\n",
" \n",
" # make the GET request\n",
" results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
" \n",
" # return only relevant information for each nearby venue\n",
" venues_list.append([(\n",
" name, \n",
" lat, \n",
" lng, \n",
" v['venue']['name'], \n",
" v['venue']['location']['lat'], \n",
" v['venue']['location']['lng'], \n",
" v['venue']['categories'][0]['name']) for v in results])\n",
"\n",
" nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
" nearby_venues.columns = ['Neighborhood', \n",
" 'Neighborhood Latitude', \n",
" 'Neighborhood Longitude', \n",
" 'Venue', \n",
" 'Venue Latitude', \n",
" 'Venue Longitude', \n",
" 'Venue Category']\n",
" \n",
" return(nearby_venues)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The Beaches\n",
"The Danforth West, Riverdale\n",
"India Bazaar, The Beaches West\n",
"Studio District\n",
"Lawrence Park\n",
"Davisville North\n",
"North Toronto West, Lawrence Park\n",
"Davisville\n",
"Moore Park, Summerhill East\n",
"Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n",
"Rosedale\n",
"St. James Town, Cabbagetown\n",
"Church and Wellesley\n",
"Regent Park, Harbourfront\n",
"Garden District, Ryerson\n",
"St. James Town\n",
"Berczy Park\n",
"Central Bay Street\n",
"Richmond, Adelaide, King\n",
"Harbourfront East, Union Station, Toronto Islands\n",
"Toronto Dominion Centre, Design Exchange\n",
"Commerce Court, Victoria Hotel\n",
"Roselawn\n",
"Forest Hill North & West, Forest Hill Road Park\n",
"The Annex, North Midtown, Yorkville\n",
"University of Toronto, Harbord\n",
"Kensington Market, Chinatown, Grange Park\n",
"CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n",
"Stn A PO Boxes\n",
"First Canadian Place, Underground city\n",
"Christie\n",
"Dufferin, Dovercourt Village\n",
"Little Portugal, Trinity\n",
"Brockton, Parkdale Village, Exhibition Place\n",
"High Park, The Junction South\n",
"Parkdale, Roncesvalles\n",
"Runnymede, Swansea\n",
"Queen's Park, Ontario Provincial Government\n",
"Business reply mail Processing Centre, South Central Letter Processing Plant Toronto\n"
]
}
],
"source": [
"\n",
"toronto_venues = getNearbyVenues(names=df4['Neighborhood'],\n",
" latitudes=df4['Latitude'],\n",
" longitudes=df4['Longitude']\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1614, 7)\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Neighborhood</th>\n",
" <th>Neighborhood Latitude</th>\n",
" <th>Neighborhood Longitude</th>\n",
" <th>Venue</th>\n",
" <th>Venue Latitude</th>\n",
" <th>Venue Longitude</th>\n",
" <th>Venue Category</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>Glen Manor Ravine</td>\n",
" <td>43.676821</td>\n",
" <td>-79.293942</td>\n",
" <td>Trail</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>The Big Carrot Natural Food Market</td>\n",
" <td>43.678879</td>\n",
" <td>-79.297734</td>\n",
" <td>Health Food Store</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>Grover Pub and Grub</td>\n",
" <td>43.679181</td>\n",
" <td>-79.297215</td>\n",
" <td>Pub</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>Upper Beaches</td>\n",
" <td>43.680563</td>\n",
" <td>-79.292869</td>\n",
" <td>Neighborhood</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>The Danforth West, Riverdale</td>\n",
" <td>43.679557</td>\n",
" <td>-79.352188</td>\n",
" <td>MenEssentials</td>\n",
" <td>43.677820</td>\n",
" <td>-79.351265</td>\n",
" <td>Cosmetics Shop</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Neighborhood Neighborhood Latitude \\\n",
"0 The Beaches 43.676357 \n",
"1 The Beaches 43.676357 \n",
"2 The Beaches 43.676357 \n",
"3 The Beaches 43.676357 \n",
"4 The Danforth West, Riverdale 43.679557 \n",
"\n",
" Neighborhood Longitude Venue Venue Latitude \\\n",
"0 -79.293031 Glen Manor Ravine 43.676821 \n",
"1 -79.293031 The Big Carrot Natural Food Market 43.678879 \n",
"2 -79.293031 Grover Pub and Grub 43.679181 \n",
"3 -79.293031 Upper Beaches 43.680563 \n",
"4 -79.352188 MenEssentials 43.677820 \n",
"\n",
" Venue Longitude Venue Category \n",
"0 -79.293942 Trail \n",
"1 -79.297734 Health Food Store \n",
"2 -79.297215 Pub \n",
"3 -79.292869 Neighborhood \n",
"4 -79.351265 Cosmetics Shop "
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(toronto_venues.shape)\n",
"toronto_venues.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"toronto_venues.groupby('Neighborhood').count()"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Yoga Studio</th>\n",
" <th>Afghan Restaurant</th>\n",
" <th>Airport</th>\n",
" <th>Airport Food Court</th>\n",
" <th>Airport Lounge</th>\n",
" <th>Airport Service</th>\n",
" <th>Airport Terminal</th>\n",
" <th>American Restaurant</th>\n",
" <th>Antique Shop</th>\n",
" <th>Aquarium</th>\n",
" <th>Art Gallery</th>\n",
" <th>Art Museum</th>\n",
" <th>Arts &amp; Crafts Store</th>\n",
" <th>Asian Restaurant</th>\n",
" <th>Athletics &amp; Sports</th>\n",
" <th>Auto Workshop</th>\n",
" <th>BBQ Joint</th>\n",
" <th>Baby Store</th>\n",
" <th>Bagel Shop</th>\n",
" <th>Bakery</th>\n",
" <th>Bank</th>\n",
" <th>Bar</th>\n",
" <th>Baseball Stadium</th>\n",
" <th>Basketball Stadium</th>\n",
" <th>Beach</th>\n",
" <th>Bed &amp; Breakfast</th>\n",
" <th>Beer Bar</th>\n",
" <th>Beer Store</th>\n",
" <th>Belgian Restaurant</th>\n",
" <th>Bistro</th>\n",
" <th>Boat or Ferry</th>\n",
" <th>Bookstore</th>\n",
" <th>Boutique</th>\n",
" <th>Brazilian Restaurant</th>\n",
" <th>Breakfast Spot</th>\n",
" <th>Brewery</th>\n",
" <th>Bubble Tea Shop</th>\n",
" <th>Building</th>\n",
" <th>Burger Joint</th>\n",
" <th>Burrito Place</th>\n",
" <th>Bus Line</th>\n",
" <th>Butcher</th>\n",
" <th>Café</th>\n",
" <th>Cajun / Creole Restaurant</th>\n",
" <th>Camera Store</th>\n",
" <th>Candy Store</th>\n",
" <th>Caribbean Restaurant</th>\n",
" <th>Cheese Shop</th>\n",
" <th>Chinese Restaurant</th>\n",
" <th>Chocolate Shop</th>\n",
" <th>Church</th>\n",
" <th>Climbing Gym</th>\n",
" <th>Clothing Store</th>\n",
" <th>Cocktail Bar</th>\n",
" <th>Coffee Shop</th>\n",
" <th>College Arts Building</th>\n",
" <th>College Auditorium</th>\n",
" <th>College Cafeteria</th>\n",
" <th>College Gym</th>\n",
" <th>College Rec Center</th>\n",
" <th>Colombian Restaurant</th>\n",
" <th>Comfort Food Restaurant</th>\n",
" <th>Comic Shop</th>\n",
" <th>Concert Hall</th>\n",
" <th>Convenience Store</th>\n",
" <th>Convention Center</th>\n",
" <th>Cosmetics Shop</th>\n",
" <th>Coworking Space</th>\n",
" <th>Creperie</th>\n",
" <th>Cuban Restaurant</th>\n",
" <th>Cupcake Shop</th>\n",
" <th>Dance Studio</th>\n",
" <th>Deli / Bodega</th>\n",
" <th>Department Store</th>\n",
" <th>Dessert Shop</th>\n",
" <th>Diner</th>\n",
" <th>Discount Store</th>\n",
" <th>Distribution Center</th>\n",
" <th>Dog Run</th>\n",
" <th>Doner Restaurant</th>\n",
" <th>Donut Shop</th>\n",
" <th>Eastern European Restaurant</th>\n",
" <th>Electronics Store</th>\n",
" <th>Ethiopian Restaurant</th>\n",
" <th>Event Space</th>\n",
" <th>Falafel Restaurant</th>\n",
" <th>Farmers Market</th>\n",
" <th>Fast Food Restaurant</th>\n",
" <th>Filipino Restaurant</th>\n",
" <th>Fish &amp; Chips Shop</th>\n",
" <th>Fish Market</th>\n",
" <th>Flea Market</th>\n",
" <th>Flower Shop</th>\n",
" <th>Food &amp; Drink Shop</th>\n",
" <th>Food Court</th>\n",
" <th>Food Truck</th>\n",
" <th>Fountain</th>\n",
" <th>French Restaurant</th>\n",
" <th>Fried Chicken Joint</th>\n",
" <th>Frozen Yogurt Shop</th>\n",
" <th>Fruit &amp; Vegetable Store</th>\n",
" <th>Furniture / Home Store</th>\n",
" <th>Gaming Cafe</th>\n",
" <th>Garden</th>\n",
" <th>Garden Center</th>\n",
" <th>Gas Station</th>\n",
" <th>Gastropub</th>\n",
" <th>Gay Bar</th>\n",
" <th>General Entertainment</th>\n",
" <th>General Travel</th>\n",
" <th>German Restaurant</th>\n",
" <th>Gift Shop</th>\n",
" <th>Gluten-free Restaurant</th>\n",
" <th>Gourmet Shop</th>\n",
" <th>Greek Restaurant</th>\n",
" <th>Grocery Store</th>\n",
" <th>Gym</th>\n",
" <th>Gym / Fitness Center</th>\n",
" <th>Harbor / Marina</th>\n",
" <th>Health &amp; Beauty Service</th>\n",
" <th>Health Food Store</th>\n",
" <th>Historic Site</th>\n",
" <th>History Museum</th>\n",
" <th>Hobby Shop</th>\n",
" <th>Home Service</th>\n",
" <th>Hookah Bar</th>\n",
" <th>Hospital</th>\n",
" <th>Hostel</th>\n",
" <th>Hotel</th>\n",
" <th>Hotel Bar</th>\n",
" <th>IT Services</th>\n",
" <th>Ice Cream Shop</th>\n",
" <th>Indian Restaurant</th>\n",
" <th>Indie Movie Theater</th>\n",
" <th>Intersection</th>\n",
" <th>Irish Pub</th>\n",
" <th>Italian Restaurant</th>\n",
" <th>Japanese Restaurant</th>\n",
" <th>Jazz Club</th>\n",
" <th>Jewelry Store</th>\n",
" <th>Juice Bar</th>\n",
" <th>Korean Restaurant</th>\n",
" <th>Lake</th>\n",
" <th>Latin American Restaurant</th>\n",
" <th>Light Rail Station</th>\n",
" <th>Lingerie Store</th>\n",
" <th>Liquor Store</th>\n",
" <th>Lounge</th>\n",
" <th>Mac &amp; Cheese Joint</th>\n",
" <th>Malay Restaurant</th>\n",
" <th>Market</th>\n",
" <th>Martial Arts Dojo</th>\n",
" <th>Mediterranean Restaurant</th>\n",
" <th>Men's Store</th>\n",
" <th>Mexican Restaurant</th>\n",
" <th>Middle Eastern Restaurant</th>\n",
" <th>Miscellaneous Shop</th>\n",
" <th>Modern European Restaurant</th>\n",
" <th>Molecular Gastronomy Restaurant</th>\n",
" <th>Monument / Landmark</th>\n",
" <th>Moroccan Restaurant</th>\n",
" <th>Movie Theater</th>\n",
" <th>Museum</th>\n",
" <th>Music Venue</th>\n",
" <th>Neighborhood</th>\n",
" <th>New American Restaurant</th>\n",
" <th>Nightclub</th>\n",
" <th>Noodle House</th>\n",
" <th>Office</th>\n",
" <th>Opera House</th>\n",
" <th>Optical Shop</th>\n",
" <th>Organic Grocery</th>\n",
" <th>Other Great Outdoors</th>\n",
" <th>Park</th>\n",
" <th>Performing Arts Venue</th>\n",
" <th>Pet Store</th>\n",
" <th>Pharmacy</th>\n",
" <th>Pizza Place</th>\n",
" <th>Plane</th>\n",
" <th>Playground</th>\n",
" <th>Plaza</th>\n",
" <th>Poke Place</th>\n",
" <th>Portuguese Restaurant</th>\n",
" <th>Poutine Place</th>\n",
" <th>Pub</th>\n",
" <th>Ramen Restaurant</th>\n",
" <th>Record Shop</th>\n",
" <th>Recording Studio</th>\n",
" <th>Rental Car Location</th>\n",
" <th>Restaurant</th>\n",
" <th>Roof Deck</th>\n",
" <th>Sake Bar</th>\n",
" <th>Salad Place</th>\n",
" <th>Salon / Barbershop</th>\n",
" <th>Sandwich Place</th>\n",
" <th>Scenic Lookout</th>\n",
" <th>Sculpture Garden</th>\n",
" <th>Seafood Restaurant</th>\n",
" <th>Shoe Store</th>\n",
" <th>Shopping Mall</th>\n",
" <th>Skate Park</th>\n",
" <th>Skating Rink</th>\n",
" <th>Smoke Shop</th>\n",
" <th>Smoothie Shop</th>\n",
" <th>Snack Place</th>\n",
" <th>Soup Place</th>\n",
" <th>Spa</th>\n",
" <th>Speakeasy</th>\n",
" <th>Sporting Goods Shop</th>\n",
" <th>Sports Bar</th>\n",
" <th>Stadium</th>\n",
" <th>Stationery Store</th>\n",
" <th>Steakhouse</th>\n",
" <th>Strip Club</th>\n",
" <th>Summer Camp</th>\n",
" <th>Supermarket</th>\n",
" <th>Sushi Restaurant</th>\n",
" <th>Swim School</th>\n",
" <th>Taco Place</th>\n",
" <th>Tailor Shop</th>\n",
" <th>Taiwanese Restaurant</th>\n",
" <th>Tanning Salon</th>\n",
" <th>Tea Room</th>\n",
" <th>Thai Restaurant</th>\n",
" <th>Theater</th>\n",
" <th>Theme Restaurant</th>\n",
" <th>Toy / Game Store</th>\n",
" <th>Trail</th>\n",
" <th>Train Station</th>\n",
" <th>Vegetarian / Vegan Restaurant</th>\n",
" <th>Video Game Store</th>\n",
" <th>Vietnamese Restaurant</th>\n",
" <th>Wine Bar</th>\n",
" <th>Wine Shop</th>\n",
" <th>Wings Joint</th>\n",
" <th>Women's Store</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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" <td>0</td>\n",
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"4 0 0 0 0 \n",
"\n",
" Lingerie Store Liquor Store Lounge Mac & Cheese Joint Malay Restaurant \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Market Martial Arts Dojo Mediterranean Restaurant Men's Store \\\n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" Mexican Restaurant Middle Eastern Restaurant Miscellaneous Shop \\\n",
"0 0 0 0 \n",
"1 0 0 0 \n",
"2 0 0 0 \n",
"3 0 0 0 \n",
"4 0 0 0 \n",
"\n",
" Modern European Restaurant Molecular Gastronomy Restaurant \\\n",
"0 0 0 \n",
"1 0 0 \n",
"2 0 0 \n",
"3 0 0 \n",
"4 0 0 \n",
"\n",
" Monument / Landmark Moroccan Restaurant Movie Theater Museum \\\n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" Music Venue Neighborhood New American Restaurant \\\n",
"0 0 The Beaches 0 \n",
"1 0 The Beaches 0 \n",
"2 0 The Beaches 0 \n",
"3 0 The Beaches 0 \n",
"4 0 The Danforth West, Riverdale 0 \n",
"\n",
" Nightclub Noodle House Office Opera House Optical Shop \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Organic Grocery Other Great Outdoors Park Performing Arts Venue \\\n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" Pet Store Pharmacy Pizza Place Plane Playground Plaza Poke Place \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" Portuguese Restaurant Poutine Place Pub Ramen Restaurant Record Shop \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 1 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Recording Studio Rental Car Location Restaurant Roof Deck Sake Bar \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Salad Place Salon / Barbershop Sandwich Place Scenic Lookout \\\n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" Sculpture Garden Seafood Restaurant Shoe Store Shopping Mall \\\n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" Skate Park Skating Rink Smoke Shop Smoothie Shop Snack Place \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Soup Place Spa Speakeasy Sporting Goods Shop Sports Bar Stadium \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" Stationery Store Steakhouse Strip Club Summer Camp Supermarket \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Sushi Restaurant Swim School Taco Place Tailor Shop \\\n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" Taiwanese Restaurant Tanning Salon Tea Room Thai Restaurant Theater \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Theme Restaurant Toy / Game Store Trail Train Station \\\n",
"0 0 0 1 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" Vegetarian / Vegan Restaurant Video Game Store Vietnamese Restaurant \\\n",
"0 0 0 0 \n",
"1 0 0 0 \n",
"2 0 0 0 \n",
"3 0 0 0 \n",
"4 0 0 0 \n",
"\n",
" Wine Bar Wine Shop Wings Joint Women's Store \n",
"0 0 0 0 0 \n",
"1 0 0 0 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 "
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# one hot encoding\n",
"toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
"\n",
"# add neighborhood column back to dataframe\n",
"toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n",
"\n",
"# move neighborhood column to the first column\n",
"fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
"toronto_onehot = toronto_onehot[fixed_columns]\n",
"\n",
"toronto_onehot.head()"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1614, 236)"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"toronto_onehot.shape"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Neighborhood</th>\n",
" <th>Yoga Studio</th>\n",
" <th>Afghan Restaurant</th>\n",
" <th>Airport</th>\n",
" <th>Airport Food Court</th>\n",
" <th>Airport Lounge</th>\n",
" <th>Airport Service</th>\n",
" <th>Airport Terminal</th>\n",
" <th>American Restaurant</th>\n",
" <th>Antique Shop</th>\n",
" <th>Aquarium</th>\n",
" <th>Art Gallery</th>\n",
" <th>Art Museum</th>\n",
" <th>Arts &amp; Crafts Store</th>\n",
" <th>Asian Restaurant</th>\n",
" <th>Athletics &amp; Sports</th>\n",
" <th>Auto Workshop</th>\n",
" <th>BBQ Joint</th>\n",
" <th>Baby Store</th>\n",
" <th>Bagel Shop</th>\n",
" <th>Bakery</th>\n",
" <th>Bank</th>\n",
" <th>Bar</th>\n",
" <th>Baseball Stadium</th>\n",
" <th>Basketball Stadium</th>\n",
" <th>Beach</th>\n",
" <th>Bed &amp; Breakfast</th>\n",
" <th>Beer Bar</th>\n",
" <th>Beer Store</th>\n",
" <th>Belgian Restaurant</th>\n",
" <th>Bistro</th>\n",
" <th>Boat or Ferry</th>\n",
" <th>Bookstore</th>\n",
" <th>Boutique</th>\n",
" <th>Brazilian Restaurant</th>\n",
" <th>Breakfast Spot</th>\n",
" <th>Brewery</th>\n",
" <th>Bubble Tea Shop</th>\n",
" <th>Building</th>\n",
" <th>Burger Joint</th>\n",
" <th>Burrito Place</th>\n",
" <th>Bus Line</th>\n",
" <th>Butcher</th>\n",
" <th>Café</th>\n",
" <th>Cajun / Creole Restaurant</th>\n",
" <th>Camera Store</th>\n",
" <th>Candy Store</th>\n",
" <th>Caribbean Restaurant</th>\n",
" <th>Cheese Shop</th>\n",
" <th>Chinese Restaurant</th>\n",
" <th>Chocolate Shop</th>\n",
" <th>Church</th>\n",
" <th>Climbing Gym</th>\n",
" <th>Clothing Store</th>\n",
" <th>Cocktail Bar</th>\n",
" <th>Coffee Shop</th>\n",
" <th>College Arts Building</th>\n",
" <th>College Auditorium</th>\n",
" <th>College Cafeteria</th>\n",
" <th>College Gym</th>\n",
" <th>College Rec Center</th>\n",
" <th>Colombian Restaurant</th>\n",
" <th>Comfort Food Restaurant</th>\n",
" <th>Comic Shop</th>\n",
" <th>Concert Hall</th>\n",
" <th>Convenience Store</th>\n",
" <th>Convention Center</th>\n",
" <th>Cosmetics Shop</th>\n",
" <th>Coworking Space</th>\n",
" <th>Creperie</th>\n",
" <th>Cuban Restaurant</th>\n",
" <th>Cupcake Shop</th>\n",
" <th>Dance Studio</th>\n",
" <th>Deli / Bodega</th>\n",
" <th>Department Store</th>\n",
" <th>Dessert Shop</th>\n",
" <th>Diner</th>\n",
" <th>Discount Store</th>\n",
" <th>Distribution Center</th>\n",
" <th>Dog Run</th>\n",
" <th>Doner Restaurant</th>\n",
" <th>Donut Shop</th>\n",
" <th>Eastern European Restaurant</th>\n",
" <th>Electronics Store</th>\n",
" <th>Ethiopian Restaurant</th>\n",
" <th>Event Space</th>\n",
" <th>Falafel Restaurant</th>\n",
" <th>Farmers Market</th>\n",
" <th>Fast Food Restaurant</th>\n",
" <th>Filipino Restaurant</th>\n",
" <th>Fish &amp; Chips Shop</th>\n",
" <th>Fish Market</th>\n",
" <th>Flea Market</th>\n",
" <th>Flower Shop</th>\n",
" <th>Food &amp; Drink Shop</th>\n",
" <th>Food Court</th>\n",
" <th>Food Truck</th>\n",
" <th>Fountain</th>\n",
" <th>French Restaurant</th>\n",
" <th>Fried Chicken Joint</th>\n",
" <th>Frozen Yogurt Shop</th>\n",
" <th>Fruit &amp; Vegetable Store</th>\n",
" <th>Furniture / Home Store</th>\n",
" <th>Gaming Cafe</th>\n",
" <th>Garden</th>\n",
" <th>Garden Center</th>\n",
" <th>Gas Station</th>\n",
" <th>Gastropub</th>\n",
" <th>Gay Bar</th>\n",
" <th>General Entertainment</th>\n",
" <th>General Travel</th>\n",
" <th>German Restaurant</th>\n",
" <th>Gift Shop</th>\n",
" <th>Gluten-free Restaurant</th>\n",
" <th>Gourmet Shop</th>\n",
" <th>Greek Restaurant</th>\n",
" <th>Grocery Store</th>\n",
" <th>Gym</th>\n",
" <th>Gym / Fitness Center</th>\n",
" <th>Harbor / Marina</th>\n",
" <th>Health &amp; Beauty Service</th>\n",
" <th>Health Food Store</th>\n",
" <th>Historic Site</th>\n",
" <th>History Museum</th>\n",
" <th>Hobby Shop</th>\n",
" <th>Home Service</th>\n",
" <th>Hookah Bar</th>\n",
" <th>Hospital</th>\n",
" <th>Hostel</th>\n",
" <th>Hotel</th>\n",
" <th>Hotel Bar</th>\n",
" <th>IT Services</th>\n",
" <th>Ice Cream Shop</th>\n",
" <th>Indian Restaurant</th>\n",
" <th>Indie Movie Theater</th>\n",
" <th>Intersection</th>\n",
" <th>Irish Pub</th>\n",
" <th>Italian Restaurant</th>\n",
" <th>Japanese Restaurant</th>\n",
" <th>Jazz Club</th>\n",
" <th>Jewelry Store</th>\n",
" <th>Juice Bar</th>\n",
" <th>Korean Restaurant</th>\n",
" <th>Lake</th>\n",
" <th>Latin American Restaurant</th>\n",
" <th>Light Rail Station</th>\n",
" <th>Lingerie Store</th>\n",
" <th>Liquor Store</th>\n",
" <th>Lounge</th>\n",
" <th>Mac &amp; Cheese Joint</th>\n",
" <th>Malay Restaurant</th>\n",
" <th>Market</th>\n",
" <th>Martial Arts Dojo</th>\n",
" <th>Mediterranean Restaurant</th>\n",
" <th>Men's Store</th>\n",
" <th>Mexican Restaurant</th>\n",
" <th>Middle Eastern Restaurant</th>\n",
" <th>Miscellaneous Shop</th>\n",
" <th>Modern European Restaurant</th>\n",
" <th>Molecular Gastronomy Restaurant</th>\n",
" <th>Monument / Landmark</th>\n",
" <th>Moroccan Restaurant</th>\n",
" <th>Movie Theater</th>\n",
" <th>Museum</th>\n",
" <th>Music Venue</th>\n",
" <th>New American Restaurant</th>\n",
" <th>Nightclub</th>\n",
" <th>Noodle House</th>\n",
" <th>Office</th>\n",
" <th>Opera House</th>\n",
" <th>Optical Shop</th>\n",
" <th>Organic Grocery</th>\n",
" <th>Other Great Outdoors</th>\n",
" <th>Park</th>\n",
" <th>Performing Arts Venue</th>\n",
" <th>Pet Store</th>\n",
" <th>Pharmacy</th>\n",
" <th>Pizza Place</th>\n",
" <th>Plane</th>\n",
" <th>Playground</th>\n",
" <th>Plaza</th>\n",
" <th>Poke Place</th>\n",
" <th>Portuguese Restaurant</th>\n",
" <th>Poutine Place</th>\n",
" <th>Pub</th>\n",
" <th>Ramen Restaurant</th>\n",
" <th>Record Shop</th>\n",
" <th>Recording Studio</th>\n",
" <th>Rental Car Location</th>\n",
" <th>Restaurant</th>\n",
" <th>Roof Deck</th>\n",
" <th>Sake Bar</th>\n",
" <th>Salad Place</th>\n",
" <th>Salon / Barbershop</th>\n",
" <th>Sandwich Place</th>\n",
" <th>Scenic Lookout</th>\n",
" <th>Sculpture Garden</th>\n",
" <th>Seafood Restaurant</th>\n",
" <th>Shoe Store</th>\n",
" <th>Shopping Mall</th>\n",
" <th>Skate Park</th>\n",
" <th>Skating Rink</th>\n",
" <th>Smoke Shop</th>\n",
" <th>Smoothie Shop</th>\n",
" <th>Snack Place</th>\n",
" <th>Soup Place</th>\n",
" <th>Spa</th>\n",
" <th>Speakeasy</th>\n",
" <th>Sporting Goods Shop</th>\n",
" <th>Sports Bar</th>\n",
" <th>Stadium</th>\n",
" <th>Stationery Store</th>\n",
" <th>Steakhouse</th>\n",
" <th>Strip Club</th>\n",
" <th>Summer Camp</th>\n",
" <th>Supermarket</th>\n",
" <th>Sushi Restaurant</th>\n",
" <th>Swim School</th>\n",
" <th>Taco Place</th>\n",
" <th>Tailor Shop</th>\n",
" <th>Taiwanese Restaurant</th>\n",
" <th>Tanning Salon</th>\n",
" <th>Tea Room</th>\n",
" <th>Thai Restaurant</th>\n",
" <th>Theater</th>\n",
" <th>Theme Restaurant</th>\n",
" <th>Toy / Game Store</th>\n",
" <th>Trail</th>\n",
" <th>Train Station</th>\n",
" <th>Vegetarian / Vegan Restaurant</th>\n",
" <th>Video Game Store</th>\n",
" <th>Vietnamese Restaurant</th>\n",
" <th>Wine Bar</th>\n",
" <th>Wine Shop</th>\n",
" <th>Wings Joint</th>\n",
" <th>Women's Store</th>\n",
" </tr>\n",
" </thead>\n",
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" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.043478</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Business reply mail Processing Centre, South C...</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
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" <td>0.052632</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
" <td>0.000000</td>\n",
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" <td>0.052632</td>\n",
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" <td>0.052632</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
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" <td>0.0000</td>\n",
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" <td>0.00</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0625</td>\n",
" <td>0.0625</td>\n",
" <td>0.125</td>\n",
" <td>0.1875</td>\n",
" <td>0.125</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.0625</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Central Bay Street</td>\n",
" <td>0.015873</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Christie</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.058824</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.058824</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.117647</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.058824</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Church and Wellesley</td>\n",
" <td>0.025974</td>\n",
" <td>0.012987</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.025974</td>\n",
" <td>0.000000</td>\n",
" <td>0.025974</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025974</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.077922</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012987</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.012987</td>\n",
" <td>0.038961</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025974</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.012987</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.051948</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.025974</td>\n",
" <td>0.025974</td>\n",
" <td>0.012987</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025974</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.038961</td>\n",
" <td>0.00</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.012987</td>\n",
" <td>0.012987</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.064935</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.012987</td>\n",
" <td>0.012987</td>\n",
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" <td>0.012987</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Commerce Court, Victoria Hotel</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.070000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.110000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" <td>0.010000</td>\n",
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" <td>0.000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.020000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Davisville</td>\n",
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" <td>0.029412</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Davisville North</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Dufferin, Dovercourt Village</td>\n",
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" <td>0.062500</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0625</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.0000</td>\n",
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" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0625</td>\n",
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" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>First Canadian Place, Underground city</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
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" <td>0.0000</td>\n",
" <td>0.010000</td>\n",
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" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.100000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.010000</td>\n",
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" <td>0.010000</td>\n",
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" <td>0.040000</td>\n",
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" <td>0.010000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.0000</td>\n",
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" <td>0.010000</td>\n",
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" <td>0.0000</td>\n",
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" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
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" <td>0.01</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Forest Hill North &amp; West, Forest Hill Road Park</td>\n",
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" <td>0.0000</td>\n",
" <td>0.000</td>\n",
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" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.250000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.250000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>Garden District, Ryerson</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.020000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.090000</td>\n",
" <td>0.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.030000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
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" <td>0.000</td>\n",
" <td>0.010000</td>\n",
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" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.05</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.020000</td>\n",
" <td>0.02</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.130000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.01</td>\n",
" <td>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.01</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.03</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.0100</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0100</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>High Park, The Junction South</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.040000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.04</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.04</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.080000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>India Bazaar, The Beaches West</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.090909</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.136364</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.090909</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>Kensington Market, Chinatown, Grange Park</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.016667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</td>\n",
" <td>0.000000</td>\n",
" <td>0.033333</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.016667</td>\n",
" <td>0.016667</td>\n",
" <td>0.000000</td>\n",
" <td>0.016667</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.016667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.016667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.083333</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.016667</td>\n",
" <td>0.016667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.066667</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000</td>\n",
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" <td>0.050000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>Lawrence Park</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>Little Portugal, Trinity</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>Moore Park, Summerhill East</td>\n",
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" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>North Toronto West, Lawrence Park</td>\n",
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" <td>0.045455</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.136364</td>\n",
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" <td>0.090909</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>Parkdale, Roncesvalles</td>\n",
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" <td>0.0000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>Queen's Park, Ontario Provincial Government</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>Regent Park, Harbourfront</td>\n",
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" <td>0.022727</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>Richmond, Adelaide, King</td>\n",
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" <td>0.0000</td>\n",
" <td>0.000</td>\n",
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" <td>0.053191</td>\n",
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" <td>0.000000</td>\n",
" <td>0.106383</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.021277</td>\n",
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" <td>0.00</td>\n",
" <td>0.021277</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.031915</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
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" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
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" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>Rosedale</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>Roselawn</td>\n",
" <td>0.000000</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>Runnymede, Swansea</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>St. James Town</td>\n",
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" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050633</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012658</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.012658</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012658</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.012658</td>\n",
" <td>0.025316</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012658</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012658</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>St. James Town, Cabbagetown</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.046512</td>\n",
" <td>0.023256</td>\n",
" <td>0.023256</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.046512</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.069767</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.046512</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.023256</td>\n",
" <td>0.046512</td>\n",
" <td>0.0000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.046512</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.046512</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>Stn A PO Boxes</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.010638</td>\n",
" <td>0.010638</td>\n",
" <td>0.00</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031915</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.0000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.042553</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.031915</td>\n",
" <td>0.095745</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010638</td>\n",
" <td>0.000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.010638</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.021277</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.031915</td>\n",
" <td>0.031915</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031915</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.031915</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010638</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010638</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010638</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>Studio District</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.050000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</td>\n",
" <td>0.025000</td>\n",
" <td>0.025000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <tr>\n",
" <th>33</th>\n",
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" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>The Annex, North Midtown, Yorkville</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.047619</td>\n",
" <td>0.047619</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.142857</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>The Beaches</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.250000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
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" <td>0.00</td>\n",
" <td>0.0000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>The Danforth West, Riverdale</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.046512</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.069767</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" <td>0.000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.023256</td>\n",
" <td>0.023256</td>\n",
" <td>0.046512</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
" <td>0.186047</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.000000</td>\n",
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" <td>0.00</td>\n",
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" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
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" <td>0.046512</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023256</td>\n",
" <td>0.00</td>\n",
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" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>Toronto Dominion Centre, Design Exchange</td>\n",
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" <tr>\n",
" <th>38</th>\n",
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],
"text/plain": [
" Neighborhood Yoga Studio \\\n",
"0 Berczy Park 0.000000 \n",
"1 Brockton, Parkdale Village, Exhibition Place 0.000000 \n",
"2 Business reply mail Processing Centre, South C... 0.052632 \n",
"3 CN Tower, King and Spadina, Railway Lands, Har... 0.000000 \n",
"4 Central Bay Street 0.015873 \n",
"5 Christie 0.000000 \n",
"6 Church and Wellesley 0.025974 \n",
"7 Commerce Court, Victoria Hotel 0.000000 \n",
"8 Davisville 0.000000 \n",
"9 Davisville North 0.000000 \n",
"10 Dufferin, Dovercourt Village 0.000000 \n",
"11 First Canadian Place, Underground city 0.000000 \n",
"12 Forest Hill North & West, Forest Hill Road Park 0.000000 \n",
"13 Garden District, Ryerson 0.000000 \n",
"14 Harbourfront East, Union Station, Toronto Islands 0.000000 \n",
"15 High Park, The Junction South 0.000000 \n",
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"18 Lawrence Park 0.000000 \n",
"19 Little Portugal, Trinity 0.022222 \n",
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"29 St. James Town 0.000000 \n",
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"31 Stn A PO Boxes 0.010638 \n",
"32 Studio District 0.025000 \n",
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"34 The Annex, North Midtown, Yorkville 0.000000 \n",
"35 The Beaches 0.000000 \n",
"36 The Danforth West, Riverdale 0.023256 \n",
"37 Toronto Dominion Centre, Design Exchange 0.000000 \n",
"38 University of Toronto, Harbord 0.029412 \n",
"\n",
" Afghan Restaurant Airport Airport Food Court Airport Lounge \\\n",
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"\n",
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" Aquarium Art Gallery Art Museum Arts & Crafts Store Asian Restaurant \\\n",
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" Bakery Bank Bar Baseball Stadium Basketball Stadium \\\n",
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" Beach Bed & Breakfast Beer Bar Beer Store Belgian Restaurant \\\n",
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"\n",
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" Latin American Restaurant Light Rail Station Lingerie Store \\\n",
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" Martial Arts Dojo Mediterranean Restaurant Men's Store \\\n",
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" Playground Plaza Poke Place Portuguese Restaurant Poutine Place \\\n",
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" Rental Car Location Restaurant Roof Deck Sake Bar Salad Place \\\n",
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" Taco Place Tailor Shop Taiwanese Restaurant Tanning Salon Tea Room \\\n",
"0 0.00 0.018519 0.000000 0.00 0.000000 \n",
"1 0.00 0.000000 0.000000 0.00 0.000000 \n",
"2 0.00 0.000000 0.000000 0.00 0.000000 \n",
"3 0.00 0.000000 0.000000 0.00 0.000000 \n",
"4 0.00 0.000000 0.000000 0.00 0.000000 \n",
"5 0.00 0.000000 0.000000 0.00 0.000000 \n",
"6 0.00 0.000000 0.000000 0.00 0.000000 \n",
"7 0.00 0.010000 0.000000 0.00 0.020000 \n",
"8 0.00 0.000000 0.000000 0.00 0.000000 \n",
"9 0.00 0.000000 0.000000 0.00 0.000000 \n",
"10 0.00 0.000000 0.000000 0.00 0.000000 \n",
"11 0.00 0.000000 0.000000 0.00 0.020000 \n",
"12 0.00 0.000000 0.000000 0.00 0.000000 \n",
"13 0.00 0.000000 0.000000 0.01 0.020000 \n",
"14 0.00 0.000000 0.000000 0.00 0.010000 \n",
"15 0.00 0.000000 0.000000 0.00 0.000000 \n",
"16 0.00 0.000000 0.000000 0.00 0.000000 \n",
"17 0.00 0.000000 0.000000 0.00 0.000000 \n",
"18 0.00 0.000000 0.000000 0.00 0.000000 \n",
"19 0.00 0.000000 0.000000 0.00 0.000000 \n",
"20 0.00 0.000000 0.000000 0.00 0.000000 \n",
"21 0.00 0.000000 0.000000 0.00 0.000000 \n",
"22 0.00 0.000000 0.000000 0.00 0.000000 \n",
"23 0.00 0.000000 0.000000 0.00 0.000000 \n",
"24 0.00 0.000000 0.000000 0.00 0.000000 \n",
"25 0.00 0.000000 0.000000 0.00 0.000000 \n",
"26 0.00 0.000000 0.000000 0.00 0.000000 \n",
"27 0.00 0.000000 0.000000 0.00 0.000000 \n",
"28 0.00 0.000000 0.000000 0.00 0.029412 \n",
"29 0.00 0.012658 0.000000 0.00 0.000000 \n",
"30 0.00 0.000000 0.023256 0.00 0.000000 \n",
"31 0.00 0.010638 0.000000 0.00 0.010638 \n",
"32 0.00 0.000000 0.000000 0.00 0.000000 \n",
"33 0.00 0.000000 0.000000 0.00 0.000000 \n",
"34 0.00 0.000000 0.000000 0.00 0.000000 \n",
"35 0.00 0.000000 0.000000 0.00 0.000000 \n",
"36 0.00 0.000000 0.000000 0.00 0.000000 \n",
"37 0.01 0.010000 0.000000 0.00 0.020000 \n",
"38 0.00 0.000000 0.000000 0.00 0.000000 \n",
"\n",
" Thai Restaurant Theater Theme Restaurant Toy / Game Store Trail \\\n",
"0 0.018519 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.015873 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.012987 0.012987 0.000000 0.000000 \n",
"7 0.020000 0.000000 0.000000 0.000000 0.000000 \n",
"8 0.058824 0.000000 0.000000 0.029412 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
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"11 0.020000 0.010000 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.000000 0.000000 0.000000 0.250000 \n",
"13 0.010000 0.020000 0.000000 0.000000 0.000000 \n",
"14 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"15 0.080000 0.000000 0.000000 0.000000 0.000000 \n",
"16 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"17 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.022222 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.000000 0.000000 0.250000 \n",
"21 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.029412 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.045455 0.000000 0.000000 0.000000 \n",
"25 0.031915 0.010638 0.000000 0.000000 0.000000 \n",
"26 0.000000 0.000000 0.000000 0.000000 0.250000 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"29 0.012658 0.025316 0.000000 0.000000 0.000000 \n",
"30 0.023256 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.010638 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.025000 0.000000 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 0.250000 \n",
"36 0.000000 0.000000 0.000000 0.000000 0.023256 \n",
"37 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.029412 0.000000 0.000000 0.000000 \n",
"\n",
" Train Station Vegetarian / Vegan Restaurant Video Game Store \\\n",
"0 0.00 0.018519 0.000000 \n",
"1 0.00 0.000000 0.000000 \n",
"2 0.00 0.000000 0.000000 \n",
"3 0.00 0.000000 0.000000 \n",
"4 0.00 0.015873 0.000000 \n",
"5 0.00 0.000000 0.000000 \n",
"6 0.00 0.000000 0.000000 \n",
"7 0.00 0.020000 0.000000 \n",
"8 0.00 0.000000 0.000000 \n",
"9 0.00 0.000000 0.000000 \n",
"10 0.00 0.000000 0.000000 \n",
"11 0.01 0.010000 0.000000 \n",
"12 0.00 0.000000 0.000000 \n",
"13 0.00 0.000000 0.010000 \n",
"14 0.01 0.010000 0.000000 \n",
"15 0.00 0.000000 0.000000 \n",
"16 0.00 0.000000 0.000000 \n",
"17 0.00 0.050000 0.000000 \n",
"18 0.00 0.000000 0.000000 \n",
"19 0.00 0.044444 0.000000 \n",
"20 0.00 0.000000 0.000000 \n",
"21 0.00 0.000000 0.000000 \n",
"22 0.00 0.000000 0.000000 \n",
"23 0.00 0.000000 0.000000 \n",
"24 0.00 0.000000 0.000000 \n",
"25 0.00 0.010638 0.000000 \n",
"26 0.00 0.000000 0.000000 \n",
"27 0.00 0.000000 0.000000 \n",
"28 0.00 0.029412 0.000000 \n",
"29 0.00 0.012658 0.000000 \n",
"30 0.00 0.000000 0.000000 \n",
"31 0.00 0.010638 0.000000 \n",
"32 0.00 0.000000 0.000000 \n",
"33 0.00 0.000000 0.000000 \n",
"34 0.00 0.047619 0.000000 \n",
"35 0.00 0.000000 0.000000 \n",
"36 0.00 0.000000 0.000000 \n",
"37 0.01 0.010000 0.000000 \n",
"38 0.00 0.000000 0.029412 \n",
"\n",
" Vietnamese Restaurant Wine Bar Wine Shop Wings Joint Women's Store \n",
"0 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.015873 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.012987 0.000000 \n",
"7 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.062500 0.000000 0.000000 \n",
"11 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"13 0.010000 0.000000 0.000000 0.000000 0.000000 \n",
"14 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"15 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"16 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"17 0.050000 0.016667 0.000000 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"19 0.022222 0.022222 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.029412 0.000000 \n",
"24 0.000000 0.000000 0.022727 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.000000 0.010638 \n",
"26 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
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"33 0.062500 0.000000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.000000 "
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
"toronto_grouped"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"----Berczy Park----\n",
" venue freq\n",
"0 Coffee Shop 0.07\n",
"1 Cocktail Bar 0.06\n",
"2 Cheese Shop 0.04\n",
"3 Bakery 0.04\n",
"4 Restaurant 0.04\n",
"\n",
"\n",
"----Brockton, Parkdale Village, Exhibition Place----\n",
" venue freq\n",
"0 Café 0.13\n",
"1 Nightclub 0.09\n",
"2 Breakfast Spot 0.09\n",
"3 Coffee Shop 0.09\n",
"4 Intersection 0.04\n",
"\n",
"\n",
"----Business reply mail Processing Centre, South Central Letter Processing Plant Toronto----\n",
" venue freq\n",
"0 Light Rail Station 0.11\n",
"1 Yoga Studio 0.05\n",
"2 Brewery 0.05\n",
"3 Spa 0.05\n",
"4 Skate Park 0.05\n",
"\n",
"\n",
"----CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport----\n",
" venue freq\n",
"0 Airport Service 0.19\n",
"1 Airport Lounge 0.12\n",
"2 Airport Terminal 0.12\n",
"3 Plane 0.06\n",
"4 Rental Car Location 0.06\n",
"\n",
"\n",
"----Central Bay Street----\n",
" venue freq\n",
"0 Coffee Shop 0.17\n",
"1 Café 0.06\n",
"2 Italian Restaurant 0.06\n",
"3 Sandwich Place 0.05\n",
"4 Japanese Restaurant 0.03\n",
"\n",
"\n",
"----Christie----\n",
" venue freq\n",
"0 Grocery Store 0.24\n",
"1 Café 0.18\n",
"2 Park 0.12\n",
"3 Nightclub 0.06\n",
"4 Italian Restaurant 0.06\n",
"\n",
"\n",
"----Church and Wellesley----\n",
" venue freq\n",
"0 Coffee Shop 0.08\n",
"1 Sushi Restaurant 0.06\n",
"2 Japanese Restaurant 0.05\n",
"3 Gay Bar 0.04\n",
"4 Restaurant 0.04\n",
"\n",
"\n",
"----Commerce Court, Victoria Hotel----\n",
" venue freq\n",
"0 Coffee Shop 0.11\n",
"1 Café 0.07\n",
"2 Restaurant 0.07\n",
"3 Hotel 0.05\n",
"4 Gym 0.04\n",
"\n",
"\n",
"----Davisville----\n",
" venue freq\n",
"0 Pizza Place 0.12\n",
"1 Dessert Shop 0.09\n",
"2 Sandwich Place 0.09\n",
"3 Café 0.06\n",
"4 Gym 0.06\n",
"\n",
"\n",
"----Davisville North----\n",
" venue freq\n",
"0 Gym / Fitness Center 0.12\n",
"1 Hotel 0.12\n",
"2 Park 0.12\n",
"3 Department Store 0.12\n",
"4 Sandwich Place 0.12\n",
"\n",
"\n",
"----Dufferin, Dovercourt Village----\n",
" venue freq\n",
"0 Pharmacy 0.12\n",
"1 Bakery 0.12\n",
"2 Café 0.06\n",
"3 Bank 0.06\n",
"4 Supermarket 0.06\n",
"\n",
"\n",
"----First Canadian Place, Underground city----\n",
" venue freq\n",
"0 Coffee Shop 0.10\n",
"1 Café 0.08\n",
"2 Hotel 0.04\n",
"3 Japanese Restaurant 0.04\n",
"4 Gym 0.04\n",
"\n",
"\n",
"----Forest Hill North & West, Forest Hill Road Park----\n",
" venue freq\n",
"0 Park 0.25\n",
"1 Trail 0.25\n",
"2 Jewelry Store 0.25\n",
"3 Sushi Restaurant 0.25\n",
"4 Yoga Studio 0.00\n",
"\n",
"\n",
"----Garden District, Ryerson----\n",
" venue freq\n",
"0 Clothing Store 0.09\n",
"1 Coffee Shop 0.08\n",
"2 Bubble Tea Shop 0.03\n",
"3 Cosmetics Shop 0.03\n",
"4 Café 0.03\n",
"\n",
"\n",
"----Harbourfront East, Union Station, Toronto Islands----\n",
" venue freq\n",
"0 Coffee Shop 0.13\n",
"1 Aquarium 0.05\n",
"2 Hotel 0.04\n",
"3 Café 0.04\n",
"4 Fried Chicken Joint 0.03\n",
"\n",
"\n",
"----High Park, The Junction South----\n",
" venue freq\n",
"0 Mexican Restaurant 0.08\n",
"1 Thai Restaurant 0.08\n",
"2 Café 0.08\n",
"3 Park 0.08\n",
"4 Cajun / Creole Restaurant 0.04\n",
"\n",
"\n",
"----India Bazaar, The Beaches West----\n",
" venue freq\n",
"0 Park 0.14\n",
"1 Fast Food Restaurant 0.09\n",
"2 Sandwich Place 0.09\n",
"3 Movie Theater 0.05\n",
"4 Brewery 0.05\n",
"\n",
"\n",
"----Kensington Market, Chinatown, Grange Park----\n",
" venue freq\n",
"0 Café 0.08\n",
"1 Coffee Shop 0.07\n",
"2 Mexican Restaurant 0.05\n",
"3 Dessert Shop 0.05\n",
"4 Vietnamese Restaurant 0.05\n",
"\n",
"\n",
"----Lawrence Park----\n",
" venue freq\n",
"0 Park 0.33\n",
"1 Bus Line 0.33\n",
"2 Swim School 0.33\n",
"3 Yoga Studio 0.00\n",
"4 Moroccan Restaurant 0.00\n",
"\n",
"\n",
"----Little Portugal, Trinity----\n",
" venue freq\n",
"0 Bar 0.11\n",
"1 Asian Restaurant 0.07\n",
"2 Vegetarian / Vegan Restaurant 0.04\n",
"3 Men's Store 0.04\n",
"4 Restaurant 0.04\n",
"\n",
"\n",
"----Moore Park, Summerhill East----\n",
" venue freq\n",
"0 Restaurant 0.25\n",
"1 Gym 0.25\n",
"2 Trail 0.25\n",
"3 Summer Camp 0.25\n",
"4 Moroccan Restaurant 0.00\n",
"\n",
"\n",
"----North Toronto West, Lawrence Park----\n",
" venue freq\n",
"0 Clothing Store 0.14\n",
"1 Coffee Shop 0.09\n",
"2 Yoga Studio 0.05\n",
"3 Bagel Shop 0.05\n",
"4 Chinese Restaurant 0.05\n",
"\n",
"\n",
"----Parkdale, Roncesvalles----\n",
" venue freq\n",
"0 Breakfast Spot 0.14\n",
"1 Gift Shop 0.14\n",
"2 Movie Theater 0.07\n",
"3 Eastern European Restaurant 0.07\n",
"4 Bar 0.07\n",
"\n",
"\n",
"----Queen's Park, Ontario Provincial Government----\n",
" venue freq\n",
"0 Coffee Shop 0.21\n",
"1 Sushi Restaurant 0.06\n",
"2 Yoga Studio 0.03\n",
"3 College Cafeteria 0.03\n",
"4 Mexican Restaurant 0.03\n",
"\n",
"\n",
"----Regent Park, Harbourfront----\n",
" venue freq\n",
"0 Coffee Shop 0.18\n",
"1 Bakery 0.07\n",
"2 Pub 0.07\n",
"3 Park 0.07\n",
"4 Breakfast Spot 0.05\n",
"\n",
"\n",
"----Richmond, Adelaide, King----\n",
" venue freq\n",
"0 Coffee Shop 0.11\n",
"1 Café 0.05\n",
"2 Restaurant 0.04\n",
"3 Hotel 0.03\n",
"4 Gym 0.03\n",
"\n",
"\n",
"----Rosedale----\n",
" venue freq\n",
"0 Park 0.50\n",
"1 Playground 0.25\n",
"2 Trail 0.25\n",
"3 Yoga Studio 0.00\n",
"4 Moroccan Restaurant 0.00\n",
"\n",
"\n",
"----Roselawn----\n",
" venue freq\n",
"0 Garden 0.25\n",
"1 Home Service 0.25\n",
"2 Ice Cream Shop 0.25\n",
"3 Music Venue 0.25\n",
"4 Mediterranean Restaurant 0.00\n",
"\n",
"\n",
"----Runnymede, Swansea----\n",
" venue freq\n",
"0 Café 0.09\n",
"1 Coffee Shop 0.09\n",
"2 Pub 0.06\n",
"3 Pizza Place 0.06\n",
"4 Sushi Restaurant 0.06\n",
"\n",
"\n",
"----St. James Town----\n",
" venue freq\n",
"0 Café 0.06\n",
"1 Coffee Shop 0.06\n",
"2 Cocktail Bar 0.05\n",
"3 Restaurant 0.05\n",
"4 American Restaurant 0.04\n",
"\n",
"\n",
"----St. James Town, Cabbagetown----\n",
" venue freq\n",
"0 Coffee Shop 0.07\n",
"1 Café 0.05\n",
"2 Pizza Place 0.05\n",
"3 Bakery 0.05\n",
"4 Pub 0.05\n",
"\n",
"\n",
"----Stn A PO Boxes----\n",
" venue freq\n",
"0 Coffee Shop 0.10\n",
"1 Café 0.04\n",
"2 Japanese Restaurant 0.03\n",
"3 Cocktail Bar 0.03\n",
"4 Seafood Restaurant 0.03\n",
"\n",
"\n",
"----Studio District----\n",
" venue freq\n",
"0 Café 0.10\n",
"1 Coffee Shop 0.08\n",
"2 Brewery 0.05\n",
"3 American Restaurant 0.05\n",
"4 Bakery 0.05\n",
"\n",
"\n",
"----Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park----\n",
" venue freq\n",
"0 Pub 0.12\n",
"1 Coffee Shop 0.12\n",
"2 Light Rail Station 0.06\n",
"3 Liquor Store 0.06\n",
"4 Sports Bar 0.06\n",
"\n",
"\n",
"----The Annex, North Midtown, Yorkville----\n",
" venue freq\n",
"0 Sandwich Place 0.14\n",
"1 Café 0.14\n",
"2 Coffee Shop 0.10\n",
"3 History Museum 0.05\n",
"4 BBQ Joint 0.05\n",
"\n",
"\n",
"----The Beaches----\n",
" venue freq\n",
"0 Health Food Store 0.25\n",
"1 Pub 0.25\n",
"2 Trail 0.25\n",
"3 Yoga Studio 0.00\n",
"4 Movie Theater 0.00\n",
"\n",
"\n",
"----The Danforth West, Riverdale----\n",
" venue freq\n",
"0 Greek Restaurant 0.19\n",
"1 Coffee Shop 0.07\n",
"2 Italian Restaurant 0.07\n",
"3 Furniture / Home Store 0.05\n",
"4 Restaurant 0.05\n",
"\n",
"\n",
"----Toronto Dominion Centre, Design Exchange----\n",
" venue freq\n",
"0 Coffee Shop 0.10\n",
"1 Hotel 0.07\n",
"2 Café 0.06\n",
"3 Seafood Restaurant 0.03\n",
"4 American Restaurant 0.03\n",
"\n",
"\n",
"----University of Toronto, Harbord----\n",
" venue freq\n",
"0 Café 0.15\n",
"1 Bookstore 0.06\n",
"2 Bar 0.06\n",
"3 Bakery 0.06\n",
"4 Restaurant 0.06\n",
"\n",
"\n"
]
}
],
"source": [
"num_top_venues = 5\n",
"\n",
"for hood in toronto_grouped['Neighborhood']:\n",
" print(\"----\"+hood+\"----\")\n",
" temp = toronto_grouped[toronto_grouped['Neighborhood'] == hood].T.reset_index()\n",
" temp.columns = ['venue','freq']\n",
" temp = temp.iloc[1:]\n",
" temp['freq'] = temp['freq'].astype(float)\n",
" temp = temp.round({'freq': 2})\n",
" print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
" print('\\n')"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"def return_most_common_venues(row, num_top_venues):\n",
" row_categories = row.iloc[1:]\n",
" row_categories_sorted = row_categories.sort_values(ascending=False)\n",
" \n",
" return row_categories_sorted.index.values[0:num_top_venues]"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Neighborhood</th>\n",
" <th>1st Most Common Venue</th>\n",
" <th>2nd Most Common Venue</th>\n",
" <th>3rd Most Common Venue</th>\n",
" <th>4th Most Common Venue</th>\n",
" <th>5th Most Common Venue</th>\n",
" <th>6th Most Common Venue</th>\n",
" <th>7th Most Common Venue</th>\n",
" <th>8th Most Common Venue</th>\n",
" <th>9th Most Common Venue</th>\n",
" <th>10th Most Common Venue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Berczy Park</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Cocktail Bar</td>\n",
" <td>Seafood Restaurant</td>\n",
" <td>Bakery</td>\n",
" <td>Beer Bar</td>\n",
" <td>Cheese Shop</td>\n",
" <td>Café</td>\n",
" <td>Restaurant</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Beach</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
" <td>Café</td>\n",
" <td>Breakfast Spot</td>\n",
" <td>Nightclub</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Furniture / Home Store</td>\n",
" <td>Burrito Place</td>\n",
" <td>Restaurant</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Stadium</td>\n",
" <td>Intersection</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Business reply mail Processing Centre, South C...</td>\n",
" <td>Light Rail Station</td>\n",
" <td>Gym / Fitness Center</td>\n",
" <td>Garden</td>\n",
" <td>Restaurant</td>\n",
" <td>Recording Studio</td>\n",
" <td>Pizza Place</td>\n",
" <td>Park</td>\n",
" <td>Garden Center</td>\n",
" <td>Fast Food Restaurant</td>\n",
" <td>Spa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
" <td>Airport Service</td>\n",
" <td>Airport Lounge</td>\n",
" <td>Airport Terminal</td>\n",
" <td>Sculpture Garden</td>\n",
" <td>Airport</td>\n",
" <td>Airport Food Court</td>\n",
" <td>Harbor / Marina</td>\n",
" <td>Boutique</td>\n",
" <td>Bar</td>\n",
" <td>Boat or Ferry</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Central Bay Street</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Café</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Salad Place</td>\n",
" <td>Bubble Tea Shop</td>\n",
" <td>Burger Joint</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Department Store</td>\n",
" <td>Modern European Restaurant</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Neighborhood 1st Most Common Venue \\\n",
"0 Berczy Park Coffee Shop \n",
"1 Brockton, Parkdale Village, Exhibition Place Café \n",
"2 Business reply mail Processing Centre, South C... Light Rail Station \n",
"3 CN Tower, King and Spadina, Railway Lands, Har... Airport Service \n",
"4 Central Bay Street Coffee Shop \n",
"\n",
" 2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue \\\n",
"0 Cocktail Bar Seafood Restaurant Bakery \n",
"1 Breakfast Spot Nightclub Coffee Shop \n",
"2 Gym / Fitness Center Garden Restaurant \n",
"3 Airport Lounge Airport Terminal Sculpture Garden \n",
"4 Italian Restaurant Café Sandwich Place \n",
"\n",
" 5th Most Common Venue 6th Most Common Venue 7th Most Common Venue \\\n",
"0 Beer Bar Cheese Shop Café \n",
"1 Furniture / Home Store Burrito Place Restaurant \n",
"2 Recording Studio Pizza Place Park \n",
"3 Airport Airport Food Court Harbor / Marina \n",
"4 Salad Place Bubble Tea Shop Burger Joint \n",
"\n",
" 8th Most Common Venue 9th Most Common Venue 10th Most Common Venue \n",
"0 Restaurant Japanese Restaurant Beach \n",
"1 Italian Restaurant Stadium Intersection \n",
"2 Garden Center Fast Food Restaurant Spa \n",
"3 Boutique Bar Boat or Ferry \n",
"4 Japanese Restaurant Department Store Modern European Restaurant "
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"num_top_venues = 10\n",
"import numpy as np\n",
"indicators = ['st', 'nd', 'rd']\n",
"\n",
"# create columns according to number of top venues\n",
"columns = ['Neighborhood']\n",
"for 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\n",
"neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
"neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
"\n",
"for ind in np.arange(toronto_grouped.shape[0]):\n",
" neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
"\n",
"neighborhoods_venues_sorted.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Clustering the Neighborhoods"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([3, 3, 3, 3, 3, 3, 3, 3, 3, 3], dtype=int32)"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# set number of clusters\n",
"k = 5\n",
"from sklearn.cluster import KMeans\n",
"toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
"\n",
"# run k-means clustering\n",
"kmeans = KMeans(n_clusters=k, random_state=0).fit(toronto_grouped_clustering)\n",
"\n",
"# check cluster labels generated for each row in the dataframe\n",
"kmeans.labels_[0:10] "
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Postal Code</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" <th>Cluster Labels</th>\n",
" <th>1st Most Common Venue</th>\n",
" <th>2nd Most Common Venue</th>\n",
" <th>3rd Most Common Venue</th>\n",
" <th>4th Most Common Venue</th>\n",
" <th>5th Most Common Venue</th>\n",
" <th>6th Most Common Venue</th>\n",
" <th>7th Most Common Venue</th>\n",
" <th>8th Most Common Venue</th>\n",
" <th>9th Most Common Venue</th>\n",
" <th>10th Most Common Venue</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.6764</td>\n",
" <td>-79.293</td>\n",
" <td>0</td>\n",
" <td>Trail</td>\n",
" <td>Health Food Store</td>\n",
" <td>Pub</td>\n",
" <td>Doner Restaurant</td>\n",
" <td>Dessert Shop</td>\n",
" <td>Diner</td>\n",
" <td>Discount Store</td>\n",
" <td>Distribution Center</td>\n",
" <td>Dog Run</td>\n",
" <td>Women's Store</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M4K</td>\n",
" <td>East Toronto</td>\n",
" <td>The Danforth West, Riverdale</td>\n",
" <td>43.6796</td>\n",
" <td>-79.3522</td>\n",
" <td>3</td>\n",
" <td>Greek Restaurant</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Bookstore</td>\n",
" <td>Restaurant</td>\n",
" <td>Ice Cream Shop</td>\n",
" <td>Furniture / Home Store</td>\n",
" <td>Liquor Store</td>\n",
" <td>Spa</td>\n",
" <td>Japanese Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4L</td>\n",
" <td>East Toronto</td>\n",
" <td>India Bazaar, The Beaches West</td>\n",
" <td>43.669</td>\n",
" <td>-79.3156</td>\n",
" <td>3</td>\n",
" <td>Park</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Fast Food Restaurant</td>\n",
" <td>Pub</td>\n",
" <td>Brewery</td>\n",
" <td>Liquor Store</td>\n",
" <td>Burrito Place</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Restaurant</td>\n",
" <td>Fish &amp; Chips Shop</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M4M</td>\n",
" <td>East Toronto</td>\n",
" <td>Studio District</td>\n",
" <td>43.6595</td>\n",
" <td>-79.3409</td>\n",
" <td>3</td>\n",
" <td>Café</td>\n",
" <td>Coffee Shop</td>\n",
" <td>American Restaurant</td>\n",
" <td>Bakery</td>\n",
" <td>Brewery</td>\n",
" <td>Gastropub</td>\n",
" <td>Gym / Fitness Center</td>\n",
" <td>Fish Market</td>\n",
" <td>Pet Store</td>\n",
" <td>Park</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M4N</td>\n",
" <td>Central Toronto</td>\n",
" <td>Lawrence Park</td>\n",
" <td>43.728</td>\n",
" <td>-79.3888</td>\n",
" <td>1</td>\n",
" <td>Park</td>\n",
" <td>Bus Line</td>\n",
" <td>Swim School</td>\n",
" <td>Women's Store</td>\n",
" <td>Department Store</td>\n",
" <td>Ethiopian Restaurant</td>\n",
" <td>Electronics Store</td>\n",
" <td>Eastern European Restaurant</td>\n",
" <td>Donut Shop</td>\n",
" <td>Doner Restaurant</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Postal Code Borough Neighborhood Latitude \\\n",
"0 M4E East Toronto The Beaches 43.6764 \n",
"1 M4K East Toronto The Danforth West, Riverdale 43.6796 \n",
"2 M4L East Toronto India Bazaar, The Beaches West 43.669 \n",
"3 M4M East Toronto Studio District 43.6595 \n",
"4 M4N Central Toronto Lawrence Park 43.728 \n",
"\n",
" Longitude Cluster Labels 1st Most Common Venue 2nd Most Common Venue \\\n",
"0 -79.293 0 Trail Health Food Store \n",
"1 -79.3522 3 Greek Restaurant Coffee Shop \n",
"2 -79.3156 3 Park Sandwich Place \n",
"3 -79.3409 3 Café Coffee Shop \n",
"4 -79.3888 1 Park Bus Line \n",
"\n",
" 3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue \\\n",
"0 Pub Doner Restaurant Dessert Shop \n",
"1 Italian Restaurant Bookstore Restaurant \n",
"2 Fast Food Restaurant Pub Brewery \n",
"3 American Restaurant Bakery Brewery \n",
"4 Swim School Women's Store Department Store \n",
"\n",
" 6th Most Common Venue 7th Most Common Venue 8th Most Common Venue \\\n",
"0 Diner Discount Store Distribution Center \n",
"1 Ice Cream Shop Furniture / Home Store Liquor Store \n",
"2 Liquor Store Burrito Place Italian Restaurant \n",
"3 Gastropub Gym / Fitness Center Fish Market \n",
"4 Ethiopian Restaurant Electronics Store Eastern European Restaurant \n",
"\n",
" 9th Most Common Venue 10th Most Common Venue \n",
"0 Dog Run Women's Store \n",
"1 Spa Japanese Restaurant \n",
"2 Restaurant Fish & Chips Shop \n",
"3 Pet Store Park \n",
"4 Donut Shop Doner Restaurant "
]
},
"execution_count": 65,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# add clustering labels\n",
"neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
"\n",
"toronto_merged = df4\n",
"\n",
"# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
"toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
"\n",
"toronto_merged.head() # check the last columns!"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
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}
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}
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}
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}
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}
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                var html_86c9d611c66b48808ea4605ead7a54fd = $('<div id="html_86c9d611c66b48808ea4605ead7a54fd" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto Cluster 3</div>')[0];
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7f2d17202f60>"
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create map\n",
"map_clusters = folium.Map(location=[lat1, lng1], zoom_start=11)\n",
"import matplotlib.cm as cm\n",
"import matplotlib.colors as colors\n",
"# set color scheme for the clusters\n",
"x = np.arange(k)\n",
"ys = [i + x + (i*x)**2 for i in range(k)]\n",
"colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
"rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
"\n",
"# add markers to the map\n",
"markers_colors = []\n",
"for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
" label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
" folium.CircleMarker(\n",
" [lat, lon],\n",
" radius=5,\n",
" popup=label,\n",
" color=rainbow[cluster-1],\n",
" fill=True,\n",
" fill_color=rainbow[cluster-1],\n",
" fill_opacity=0.7).add_to(map_clusters)\n",
" \n",
"map_clusters"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python",
"language": "python",
"name": "conda-env-python-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.10"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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