Skip to content

Instantly share code, notes, and snippets.

@panicpotatoe

panicpotatoe/Lab - Part-3-Segmenting and Clustering Neighborhoods in Toronto.ipynb

Created April 16, 2020 03:53
Show Gist options
  • Save panicpotatoe/1f67eaff09c25d2fc2d1ae6b6d54e4d1 to your computer and use it in GitHub Desktop.
Save panicpotatoe/1f67eaff09c25d2fc2d1ae6b6d54e4d1 to your computer and use it in GitHub Desktop.
Download ZIP
Created on Skills Network Labs
Display the source blob
Display the rendered blob
Raw
Lab - Part-3-Segmenting and Clustering Neighborhoods in Toronto.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Peer-Graded Assignment : Segmenting and Clustering Neighborhoods in Toronto (Part 1, 2 & 3)\n",
"- Build a dataframe of the postal code of each neighborhood along with the borough name and neighborhood name in Toronto.\n",
"- Get the geographical coordinates of the neighborhoods in Toronto.\n",
"- Explore and cluster the neighborhoods in Toronto (replicate the same analysis we did to New York City data).\n",
"***\n",
"### 1. Import libraries"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Libraries imported.\n"
]
}
],
"source": [
"import numpy as np # library to handle data in a vectorized manner\n",
"\n",
"import pandas as pd # library for data analsysis\n",
"pd.set_option(\"display.max_columns\", None)\n",
"pd.set_option(\"display.max_rows\", None)\n",
"\n",
"import json # library to handle JSON files\n",
"\n",
"from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
"\n",
"import requests # library to handle requests\n",
"from bs4 import BeautifulSoup # library to parse HTML and XML documents\n",
"\n",
"from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
"\n",
"# Matplotlib and associated plotting modules\n",
"import matplotlib.cm as cm\n",
"import matplotlib.colors as colors\n",
"\n",
"# import k-means from clustering stage\n",
"from sklearn.cluster import KMeans\n",
"\n",
"import folium # map rendering library\n",
"\n",
"print(\"Libraries imported.\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2. Scrap data from Wikipedia page into a DataFrame"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# send the GET request\n",
"data = requests.get('https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M').text"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# parse data from the html into a beautifulsoup object\n",
"soup = BeautifulSoup(data, 'html.parser')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# create three lists to store table data\n",
"postalCodeList = []\n",
"boroughList = []\n",
"neighborhoodList = []"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Using BeautifulSoup**\n",
"\n",
"```python\n",
"# find the table\n",
"soup.find('table').find_all('tr')\n",
"\n",
"# find all the rows of the table\n",
"soup.find('table').find_all('tr')\n",
"\n",
"# for each row of the table, find all the table data\n",
"for row in soup.find('table').find_all('tr'):\n",
" cells = row.find_all('td')\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# append the data into the respective lists\n",
"for row in soup.find('table').find_all('tr'):\n",
" cells = row.find_all('td')\n",
" if(len(cells) > 0):\n",
" postalCodeList.append(cells[0].text)\n",
" boroughList.append(cells[1].text)\n",
" neighborhoodList.append(cells[2].text.rstrip('\\n')) # avoid new lines in neighborhood cell"
]
},
{
"cell_type": "code",
"execution_count": 6,
"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>PostalCode</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>Harbourfront</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode 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 Harbourfront"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create a new DataFrame from the three lists\n",
"toronto_df = pd.DataFrame({\"PostalCode\": postalCodeList,\n",
" \"Borough\": boroughList,\n",
" \"Neighborhood\": neighborhoodList})\n",
"\n",
"toronto_df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 3. Drop cells with a borough that is \"Not assigned\""
]
},
{
"cell_type": "code",
"execution_count": 7,
"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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M3A</td>\n",
" <td>North York</td>\n",
" <td>Parkwoods</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M4A</td>\n",
" <td>North York</td>\n",
" <td>Victoria Village</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M5A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbourfront</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M6A</td>\n",
" <td>North York</td>\n",
" <td>Lawrence Heights</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M6A</td>\n",
" <td>North York</td>\n",
" <td>Lawrence Manor</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough Neighborhood\n",
"0 M3A North York Parkwoods\n",
"1 M4A North York Victoria Village\n",
"2 M5A Downtown Toronto Harbourfront\n",
"3 M6A North York Lawrence Heights\n",
"4 M6A North York Lawrence Manor"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# drop cells with a borough that is Not assigned\n",
"toronto_df_dropna = toronto_df[toronto_df.Borough != \"Not assigned\"].reset_index(drop=True)\n",
"toronto_df_dropna.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 4. Group neighborhoods in the same borough\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M1B</td>\n",
" <td>Scarborough</td>\n",
" <td>Rouge, Malvern</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M1C</td>\n",
" <td>Scarborough</td>\n",
" <td>Highland Creek, Rouge Hill, Port Union</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M1E</td>\n",
" <td>Scarborough</td>\n",
" <td>Guildwood, Morningside, West Hill</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1G</td>\n",
" <td>Scarborough</td>\n",
" <td>Woburn</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M1H</td>\n",
" <td>Scarborough</td>\n",
" <td>Cedarbrae</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough Neighborhood\n",
"0 M1B Scarborough Rouge, Malvern\n",
"1 M1C Scarborough Highland Creek, Rouge Hill, Port Union\n",
"2 M1E Scarborough Guildwood, Morningside, West Hill\n",
"3 M1G Scarborough Woburn\n",
"4 M1H Scarborough Cedarbrae"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# group neighborhoods in the same borough\n",
"toronto_df_grouped = toronto_df_dropna.groupby([\"PostalCode\", \"Borough\"], as_index=False).agg(lambda x: \", \".join(x))\n",
"toronto_df_grouped.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 5. For Neighborhood=\"Not assigned\", make the value the same as Borough"
]
},
{
"cell_type": "code",
"execution_count": 9,
"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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M1B</td>\n",
" <td>Scarborough</td>\n",
" <td>Rouge, Malvern</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M1C</td>\n",
" <td>Scarborough</td>\n",
" <td>Highland Creek, Rouge Hill, Port Union</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M1E</td>\n",
" <td>Scarborough</td>\n",
" <td>Guildwood, Morningside, West Hill</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1G</td>\n",
" <td>Scarborough</td>\n",
" <td>Woburn</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M1H</td>\n",
" <td>Scarborough</td>\n",
" <td>Cedarbrae</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough Neighborhood\n",
"0 M1B Scarborough Rouge, Malvern\n",
"1 M1C Scarborough Highland Creek, Rouge Hill, Port Union\n",
"2 M1E Scarborough Guildwood, Morningside, West Hill\n",
"3 M1G Scarborough Woburn\n",
"4 M1H Scarborough Cedarbrae"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# for Neighborhood=\"Not assigned\", make the value the same as Borough\n",
"for index, row in toronto_df_grouped.iterrows():\n",
" if row[\"Neighborhood\"] == \"Not assigned\":\n",
" row[\"Neighborhood\"] = row[\"Borough\"]\n",
" \n",
"toronto_df_grouped.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 6. Check whether it is the same as required by the question"
]
},
{
"cell_type": "code",
"execution_count": 10,
"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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M5G</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Central Bay Street</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M2H</td>\n",
" <td>North York</td>\n",
" <td>Hillcrest Village</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4B</td>\n",
" <td>East York</td>\n",
" <td>Woodbine Gardens, Parkview Hill</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1J</td>\n",
" <td>Scarborough</td>\n",
" <td>Scarborough Village</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M4G</td>\n",
" <td>East York</td>\n",
" <td>Leaside</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>M4M</td>\n",
" <td>East Toronto</td>\n",
" <td>Studio District</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>M1R</td>\n",
" <td>Scarborough</td>\n",
" <td>Maryvale, Wexford</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>M9V</td>\n",
" <td>Etobicoke</td>\n",
" <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>M9L</td>\n",
" <td>North York</td>\n",
" <td>Humber Summit</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>M5V</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>M1B</td>\n",
" <td>Scarborough</td>\n",
" <td>Rouge, Malvern</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>M5A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbourfront</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough \\\n",
"0 M5G Downtown Toronto \n",
"1 M2H North York \n",
"2 M4B East York \n",
"3 M1J Scarborough \n",
"4 M4G East York \n",
"5 M4M East Toronto \n",
"6 M1R Scarborough \n",
"7 M9V Etobicoke \n",
"8 M9L North York \n",
"9 M5V Downtown Toronto \n",
"10 M1B Scarborough \n",
"11 M5A Downtown Toronto \n",
"\n",
" Neighborhood \n",
"0 Central Bay Street \n",
"1 Hillcrest Village \n",
"2 Woodbine Gardens, Parkview Hill \n",
"3 Scarborough Village \n",
"4 Leaside \n",
"5 Studio District \n",
"6 Maryvale, Wexford \n",
"7 Albion Gardens, Beaumond Heights, Humbergate, ... \n",
"8 Humber Summit \n",
"9 CN Tower, Bathurst Quay, Island airport, Harbo... \n",
"10 Rouge, Malvern \n",
"11 Harbourfront "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create a new test dataframe\n",
"column_names = [\"PostalCode\", \"Borough\", \"Neighborhood\"]\n",
"test_df = pd.DataFrame(columns=column_names)\n",
"\n",
"test_list = [\"M5G\", \"M2H\", \"M4B\", \"M1J\", \"M4G\", \"M4M\", \"M1R\", \"M9V\", \"M9L\", \"M5V\", \"M1B\", \"M5A\"]\n",
"\n",
"for postcode in test_list:\n",
" test_df = test_df.append(toronto_df_grouped[toronto_df_grouped[\"PostalCode\"]==postcode], ignore_index=True)\n",
" \n",
"test_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 7. Print the number of rows of the cleaned dataframe"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(103, 3)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# print the number of rows of the cleaned dataframe\n",
"toronto_df_grouped.shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 8. Load the coordinates from the csv file on Coursera"
]
},
{
"cell_type": "code",
"execution_count": 12,
"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",
" </tbody>\n",
"</table>\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"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# load the coordinates from the csv file on Coursera\n",
"coordinates = pd.read_csv(\"Geospatial_Coordinates.csv\")\n",
"coordinates.head()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"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>PostalCode</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",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode 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"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# rename the column \"PostalCode\"\n",
"coordinates.rename(columns={\"Postal Code\": \"PostalCode\"}, inplace=True)\n",
"coordinates.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 9. Merge two tables to get the coordinates"
]
},
{
"cell_type": "code",
"execution_count": 14,
"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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M1B</td>\n",
" <td>Scarborough</td>\n",
" <td>Rouge, Malvern</td>\n",
" <td>43.806686</td>\n",
" <td>-79.194353</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M1C</td>\n",
" <td>Scarborough</td>\n",
" <td>Highland Creek, Rouge Hill, Port Union</td>\n",
" <td>43.784535</td>\n",
" <td>-79.160497</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M1E</td>\n",
" <td>Scarborough</td>\n",
" <td>Guildwood, Morningside, West Hill</td>\n",
" <td>43.763573</td>\n",
" <td>-79.188711</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1G</td>\n",
" <td>Scarborough</td>\n",
" <td>Woburn</td>\n",
" <td>43.770992</td>\n",
" <td>-79.216917</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M1H</td>\n",
" <td>Scarborough</td>\n",
" <td>Cedarbrae</td>\n",
" <td>43.773136</td>\n",
" <td>-79.239476</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough Neighborhood Latitude \\\n",
"0 M1B Scarborough Rouge, Malvern 43.806686 \n",
"1 M1C Scarborough Highland Creek, Rouge Hill, Port Union 43.784535 \n",
"2 M1E Scarborough Guildwood, Morningside, West Hill 43.763573 \n",
"3 M1G Scarborough Woburn 43.770992 \n",
"4 M1H Scarborough Cedarbrae 43.773136 \n",
"\n",
" Longitude \n",
"0 -79.194353 \n",
"1 -79.160497 \n",
"2 -79.188711 \n",
"3 -79.216917 \n",
"4 -79.239476 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# merge two table on the column \"PostalCode\"\n",
"toronto_df_new = toronto_df_grouped.merge(coordinates, on=\"PostalCode\", how=\"left\")\n",
"toronto_df_new.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 10. Finally, check to make sure the coordinates are added as required by the question"
]
},
{
"cell_type": "code",
"execution_count": 15,
"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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M5G</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Central Bay Street</td>\n",
" <td>43.657952</td>\n",
" <td>-79.387383</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M2H</td>\n",
" <td>North York</td>\n",
" <td>Hillcrest Village</td>\n",
" <td>43.803762</td>\n",
" <td>-79.363452</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4B</td>\n",
" <td>East York</td>\n",
" <td>Woodbine Gardens, Parkview Hill</td>\n",
" <td>43.706397</td>\n",
" <td>-79.309937</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M1J</td>\n",
" <td>Scarborough</td>\n",
" <td>Scarborough Village</td>\n",
" <td>43.744734</td>\n",
" <td>-79.239476</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M4G</td>\n",
" <td>East York</td>\n",
" <td>Leaside</td>\n",
" <td>43.709060</td>\n",
" <td>-79.363452</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>M4M</td>\n",
" <td>East Toronto</td>\n",
" <td>Studio District</td>\n",
" <td>43.659526</td>\n",
" <td>-79.340923</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>M1R</td>\n",
" <td>Scarborough</td>\n",
" <td>Maryvale, Wexford</td>\n",
" <td>43.750072</td>\n",
" <td>-79.295849</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>M9V</td>\n",
" <td>Etobicoke</td>\n",
" <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n",
" <td>43.739416</td>\n",
" <td>-79.588437</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>M9L</td>\n",
" <td>North York</td>\n",
" <td>Humber Summit</td>\n",
" <td>43.756303</td>\n",
" <td>-79.565963</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>M5V</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
" <td>43.628947</td>\n",
" <td>-79.394420</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>M1B</td>\n",
" <td>Scarborough</td>\n",
" <td>Rouge, Malvern</td>\n",
" <td>43.806686</td>\n",
" <td>-79.194353</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>M5A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbourfront</td>\n",
" <td>43.654260</td>\n",
" <td>-79.360636</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough \\\n",
"0 M5G Downtown Toronto \n",
"1 M2H North York \n",
"2 M4B East York \n",
"3 M1J Scarborough \n",
"4 M4G East York \n",
"5 M4M East Toronto \n",
"6 M1R Scarborough \n",
"7 M9V Etobicoke \n",
"8 M9L North York \n",
"9 M5V Downtown Toronto \n",
"10 M1B Scarborough \n",
"11 M5A Downtown Toronto \n",
"\n",
" Neighborhood Latitude Longitude \n",
"0 Central Bay Street 43.657952 -79.387383 \n",
"1 Hillcrest Village 43.803762 -79.363452 \n",
"2 Woodbine Gardens, Parkview Hill 43.706397 -79.309937 \n",
"3 Scarborough Village 43.744734 -79.239476 \n",
"4 Leaside 43.709060 -79.363452 \n",
"5 Studio District 43.659526 -79.340923 \n",
"6 Maryvale, Wexford 43.750072 -79.295849 \n",
"7 Albion Gardens, Beaumond Heights, Humbergate, ... 43.739416 -79.588437 \n",
"8 Humber Summit 43.756303 -79.565963 \n",
"9 CN Tower, Bathurst Quay, Island airport, Harbo... 43.628947 -79.394420 \n",
"10 Rouge, Malvern 43.806686 -79.194353 \n",
"11 Harbourfront 43.654260 -79.360636 "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create a new test dataframe\n",
"column_names = [\"PostalCode\", \"Borough\", \"Neighborhood\", \"Latitude\", \"Longitude\"]\n",
"test_df = pd.DataFrame(columns=column_names)\n",
"\n",
"test_list = [\"M5G\", \"M2H\", \"M4B\", \"M1J\", \"M4G\", \"M4M\", \"M1R\", \"M9V\", \"M9L\", \"M5V\", \"M1B\", \"M5A\"]\n",
"\n",
"for postcode in test_list:\n",
" test_df = test_df.append(toronto_df_new[toronto_df_new[\"PostalCode\"]==postcode], ignore_index=True)\n",
" \n",
"test_df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 11. Use geopy library to get the latitude and longitude values of Toronto"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The geograpical coordinate of Toronto are 43.653963, -79.387207.\n"
]
}
],
"source": [
"address = 'Toronto'\n",
"\n",
"geolocator = Nominatim(user_agent=\"my-application\")\n",
"location = geolocator.geocode(address)\n",
"latitude = location.latitude\n",
"longitude = location.longitude\n",
"print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 12. Create a map of Toronto with neighborhoods superimposed on top"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_ba5042e1bb924848890e6087ed8e7459 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_ba5042e1bb924848890e6087ed8e7459" ></div>
        
</body>
<script>    
    
            var map_ba5042e1bb924848890e6087ed8e7459 = L.map(
                "map_ba5042e1bb924848890e6087ed8e7459",
                {
                    center: [43.653963, -79.387207],
                    crs: L.CRS.EPSG3857,
                    zoom: 10,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_45b27070f6784caf94e0d117cdbf25ec = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_ba5042e1bb924848890e6087ed8e7459);
        
    
            var circle_marker_f281f52677f34889ae42986a5e77ee33 = L.circleMarker(
                [43.806686299999996, -79.19435340000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_55ce8d08a4374f1b97479a96a5123797 = L.popup({"maxWidth": "100%"});

        
            var html_4c244913af3341ac9d525a53460f08a0 = $(`<div id="html_4c244913af3341ac9d525a53460f08a0" style="width: 100.0%; height: 100.0%;">Rouge, Malvern, Scarborough</div>`)[0];
            popup_55ce8d08a4374f1b97479a96a5123797.setContent(html_4c244913af3341ac9d525a53460f08a0);
        

        circle_marker_f281f52677f34889ae42986a5e77ee33.bindPopup(popup_55ce8d08a4374f1b97479a96a5123797)
        ;

        
    
    
            var circle_marker_18b0bb083f034d71979b7e98b6afefc5 = L.circleMarker(
                [43.7845351, -79.16049709999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_d392c772c2084596be195f1e875efb89 = L.popup({"maxWidth": "100%"});

        
            var html_4427e28a38c040d18b8832c9398062e5 = $(`<div id="html_4427e28a38c040d18b8832c9398062e5" style="width: 100.0%; height: 100.0%;">Highland Creek, Rouge Hill, Port Union, Scarborough</div>`)[0];
            popup_d392c772c2084596be195f1e875efb89.setContent(html_4427e28a38c040d18b8832c9398062e5);
        

        circle_marker_18b0bb083f034d71979b7e98b6afefc5.bindPopup(popup_d392c772c2084596be195f1e875efb89)
        ;

        
    
    
            var circle_marker_2a78e6bb94ca4dc68ab1ccb459c00540 = L.circleMarker(
                [43.7635726, -79.1887115],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_d8a2d66f7460430e899b645f997f0834 = L.popup({"maxWidth": "100%"});

        
            var html_fc4a569f80db42029df365f022b8ee23 = $(`<div id="html_fc4a569f80db42029df365f022b8ee23" style="width: 100.0%; height: 100.0%;">Guildwood, Morningside, West Hill, Scarborough</div>`)[0];
            popup_d8a2d66f7460430e899b645f997f0834.setContent(html_fc4a569f80db42029df365f022b8ee23);
        

        circle_marker_2a78e6bb94ca4dc68ab1ccb459c00540.bindPopup(popup_d8a2d66f7460430e899b645f997f0834)
        ;

        
    
    
            var circle_marker_f6ef2fdc078d483f89973e3975239ea7 = L.circleMarker(
                [43.7709921, -79.21691740000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_bf4639502c424274868854ffdfb6a269 = L.popup({"maxWidth": "100%"});

        
            var html_24eb9d2acb3840109d4bdebe546482ad = $(`<div id="html_24eb9d2acb3840109d4bdebe546482ad" style="width: 100.0%; height: 100.0%;">Woburn, Scarborough</div>`)[0];
            popup_bf4639502c424274868854ffdfb6a269.setContent(html_24eb9d2acb3840109d4bdebe546482ad);
        

        circle_marker_f6ef2fdc078d483f89973e3975239ea7.bindPopup(popup_bf4639502c424274868854ffdfb6a269)
        ;

        
    
    
            var circle_marker_d86cc766c6e44519b27cb6abbc7563f6 = L.circleMarker(
                [43.773136, -79.23947609999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_bb15b9d58e554f9b8f15d43ce6dc7c41 = L.popup({"maxWidth": "100%"});

        
            var html_a3fa0ad04d5e49d1af07b34d77b733fb = $(`<div id="html_a3fa0ad04d5e49d1af07b34d77b733fb" style="width: 100.0%; height: 100.0%;">Cedarbrae, Scarborough</div>`)[0];
            popup_bb15b9d58e554f9b8f15d43ce6dc7c41.setContent(html_a3fa0ad04d5e49d1af07b34d77b733fb);
        

        circle_marker_d86cc766c6e44519b27cb6abbc7563f6.bindPopup(popup_bb15b9d58e554f9b8f15d43ce6dc7c41)
        ;

        
    
    
            var circle_marker_19778726984447da8c0a65c05bbe501a = L.circleMarker(
                [43.7447342, -79.23947609999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_da7b1d716f334775ae47feb0750c26a0 = L.popup({"maxWidth": "100%"});

        
            var html_c500bb0ba1fb446d8ca97ef60c9b8e7a = $(`<div id="html_c500bb0ba1fb446d8ca97ef60c9b8e7a" style="width: 100.0%; height: 100.0%;">Scarborough Village, Scarborough</div>`)[0];
            popup_da7b1d716f334775ae47feb0750c26a0.setContent(html_c500bb0ba1fb446d8ca97ef60c9b8e7a);
        

        circle_marker_19778726984447da8c0a65c05bbe501a.bindPopup(popup_da7b1d716f334775ae47feb0750c26a0)
        ;

        
    
    
            var circle_marker_85102a2ff08b4239aebe60be1c2056e8 = L.circleMarker(
                [43.7279292, -79.26202940000002],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_40cf46bf12684069ba1cece84b6a0742 = L.popup({"maxWidth": "100%"});

        
            var html_2f24379e8ed54c439a5e8c933d55fcb4 = $(`<div id="html_2f24379e8ed54c439a5e8c933d55fcb4" style="width: 100.0%; height: 100.0%;">East Birchmount Park, Ionview, Kennedy Park, Scarborough</div>`)[0];
            popup_40cf46bf12684069ba1cece84b6a0742.setContent(html_2f24379e8ed54c439a5e8c933d55fcb4);
        

        circle_marker_85102a2ff08b4239aebe60be1c2056e8.bindPopup(popup_40cf46bf12684069ba1cece84b6a0742)
        ;

        
    
    
            var circle_marker_092de5e1df5f41aeab5c50e747bc94e3 = L.circleMarker(
                [43.711111700000004, -79.2845772],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_510f89850e034389912cde5b224bcaf4 = L.popup({"maxWidth": "100%"});

        
            var html_15046c6b4c1f45f99869f3c3d8c798dd = $(`<div id="html_15046c6b4c1f45f99869f3c3d8c798dd" style="width: 100.0%; height: 100.0%;">Clairlea, Golden Mile, Oakridge, Scarborough</div>`)[0];
            popup_510f89850e034389912cde5b224bcaf4.setContent(html_15046c6b4c1f45f99869f3c3d8c798dd);
        

        circle_marker_092de5e1df5f41aeab5c50e747bc94e3.bindPopup(popup_510f89850e034389912cde5b224bcaf4)
        ;

        
    
    
            var circle_marker_bbc6ce458e2348559da234a3e6802f4b = L.circleMarker(
                [43.716316, -79.23947609999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_d54162558d034a419724d34e43f0a494 = L.popup({"maxWidth": "100%"});

        
            var html_8a0ddd94b1624c60a6664d8e1a09a69a = $(`<div id="html_8a0ddd94b1624c60a6664d8e1a09a69a" style="width: 100.0%; height: 100.0%;">Cliffcrest, Cliffside, Scarborough Village West, Scarborough</div>`)[0];
            popup_d54162558d034a419724d34e43f0a494.setContent(html_8a0ddd94b1624c60a6664d8e1a09a69a);
        

        circle_marker_bbc6ce458e2348559da234a3e6802f4b.bindPopup(popup_d54162558d034a419724d34e43f0a494)
        ;

        
    
    
            var circle_marker_42c236262d324434976800344e4d5bfd = L.circleMarker(
                [43.692657000000004, -79.2648481],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_81085e28e94a497691b704a88dede802 = L.popup({"maxWidth": "100%"});

        
            var html_f825f663225a49a6afa7533d537d609f = $(`<div id="html_f825f663225a49a6afa7533d537d609f" style="width: 100.0%; height: 100.0%;">Birch Cliff, Cliffside West, Scarborough</div>`)[0];
            popup_81085e28e94a497691b704a88dede802.setContent(html_f825f663225a49a6afa7533d537d609f);
        

        circle_marker_42c236262d324434976800344e4d5bfd.bindPopup(popup_81085e28e94a497691b704a88dede802)
        ;

        
    
    
            var circle_marker_866c90d8d6454000805974a06db11c83 = L.circleMarker(
                [43.7574096, -79.27330400000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_a27a1846542341d7a381087adda31f76 = L.popup({"maxWidth": "100%"});

        
            var html_697e9439ed344181a78ccdcc80d5c1b4 = $(`<div id="html_697e9439ed344181a78ccdcc80d5c1b4" style="width: 100.0%; height: 100.0%;">Dorset Park, Scarborough Town Centre, Wexford Heights, Scarborough</div>`)[0];
            popup_a27a1846542341d7a381087adda31f76.setContent(html_697e9439ed344181a78ccdcc80d5c1b4);
        

        circle_marker_866c90d8d6454000805974a06db11c83.bindPopup(popup_a27a1846542341d7a381087adda31f76)
        ;

        
    
    
            var circle_marker_d52f6ee790cc42ac8b1049cf8caafad3 = L.circleMarker(
                [43.750071500000004, -79.2958491],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_f1e57fc835a245c1ac7b4a0e9729ba9d = L.popup({"maxWidth": "100%"});

        
            var html_dfc15871224c49a2b546624319d335e1 = $(`<div id="html_dfc15871224c49a2b546624319d335e1" style="width: 100.0%; height: 100.0%;">Maryvale, Wexford, Scarborough</div>`)[0];
            popup_f1e57fc835a245c1ac7b4a0e9729ba9d.setContent(html_dfc15871224c49a2b546624319d335e1);
        

        circle_marker_d52f6ee790cc42ac8b1049cf8caafad3.bindPopup(popup_f1e57fc835a245c1ac7b4a0e9729ba9d)
        ;

        
    
    
            var circle_marker_e341960e782f4b7dbcd386276976ac23 = L.circleMarker(
                [43.7942003, -79.26202940000002],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_64833458ce7b465bb5f3544a9b3e6ed1 = L.popup({"maxWidth": "100%"});

        
            var html_5054ddf64cb342adb109184ee5ccaa22 = $(`<div id="html_5054ddf64cb342adb109184ee5ccaa22" style="width: 100.0%; height: 100.0%;">Agincourt, Scarborough</div>`)[0];
            popup_64833458ce7b465bb5f3544a9b3e6ed1.setContent(html_5054ddf64cb342adb109184ee5ccaa22);
        

        circle_marker_e341960e782f4b7dbcd386276976ac23.bindPopup(popup_64833458ce7b465bb5f3544a9b3e6ed1)
        ;

        
    
    
            var circle_marker_43621515b50e48ee9fc61ba3de87b24e = L.circleMarker(
                [43.7816375, -79.3043021],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_79136e32bb2f4bc780797b753a34e864 = L.popup({"maxWidth": "100%"});

        
            var html_daf1a05ffcb943c68b4ff1bf9a3a90a2 = $(`<div id="html_daf1a05ffcb943c68b4ff1bf9a3a90a2" style="width: 100.0%; height: 100.0%;">Clarks Corners, Sullivan, Tam O&#39;Shanter, Scarborough</div>`)[0];
            popup_79136e32bb2f4bc780797b753a34e864.setContent(html_daf1a05ffcb943c68b4ff1bf9a3a90a2);
        

        circle_marker_43621515b50e48ee9fc61ba3de87b24e.bindPopup(popup_79136e32bb2f4bc780797b753a34e864)
        ;

        
    
    
            var circle_marker_c87748505f4b4137a5dac856d6447730 = L.circleMarker(
                [43.8152522, -79.2845772],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_03ead8e9434642e2913e8c7ab7f86392 = L.popup({"maxWidth": "100%"});

        
            var html_4a022192ba7c4b1c892b1667510f6733 = $(`<div id="html_4a022192ba7c4b1c892b1667510f6733" style="width: 100.0%; height: 100.0%;">Agincourt North, L&#39;Amoreaux East, Milliken, Steeles East, Scarborough</div>`)[0];
            popup_03ead8e9434642e2913e8c7ab7f86392.setContent(html_4a022192ba7c4b1c892b1667510f6733);
        

        circle_marker_c87748505f4b4137a5dac856d6447730.bindPopup(popup_03ead8e9434642e2913e8c7ab7f86392)
        ;

        
    
    
            var circle_marker_fd0034de50a04e4bb856984f74af12a3 = L.circleMarker(
                [43.799525200000005, -79.3183887],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_0d9cef88a88e41868fc3a0b9f16840b3 = L.popup({"maxWidth": "100%"});

        
            var html_605346b943bd4d418f2e7b8488ff637c = $(`<div id="html_605346b943bd4d418f2e7b8488ff637c" style="width: 100.0%; height: 100.0%;">L&#39;Amoreaux West, Scarborough</div>`)[0];
            popup_0d9cef88a88e41868fc3a0b9f16840b3.setContent(html_605346b943bd4d418f2e7b8488ff637c);
        

        circle_marker_fd0034de50a04e4bb856984f74af12a3.bindPopup(popup_0d9cef88a88e41868fc3a0b9f16840b3)
        ;

        
    
    
            var circle_marker_a35b6261fb184bbbabd06f27bd44193e = L.circleMarker(
                [43.836124700000006, -79.20563609999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_7a29bce589b6482ea46205185e7aa05b = L.popup({"maxWidth": "100%"});

        
            var html_341a4d1401184f05ac60c28124448741 = $(`<div id="html_341a4d1401184f05ac60c28124448741" style="width: 100.0%; height: 100.0%;">Upper Rouge, Scarborough</div>`)[0];
            popup_7a29bce589b6482ea46205185e7aa05b.setContent(html_341a4d1401184f05ac60c28124448741);
        

        circle_marker_a35b6261fb184bbbabd06f27bd44193e.bindPopup(popup_7a29bce589b6482ea46205185e7aa05b)
        ;

        
    
    
            var circle_marker_1fce6729d07e4021ba30630ebeb3b6a1 = L.circleMarker(
                [43.8037622, -79.3634517],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_8cfef63ea2d544e1b591d5dadd55a889 = L.popup({"maxWidth": "100%"});

        
            var html_bd3556c586e34922ae557df8ec3fbcb9 = $(`<div id="html_bd3556c586e34922ae557df8ec3fbcb9" style="width: 100.0%; height: 100.0%;">Hillcrest Village, North York</div>`)[0];
            popup_8cfef63ea2d544e1b591d5dadd55a889.setContent(html_bd3556c586e34922ae557df8ec3fbcb9);
        

        circle_marker_1fce6729d07e4021ba30630ebeb3b6a1.bindPopup(popup_8cfef63ea2d544e1b591d5dadd55a889)
        ;

        
    
    
            var circle_marker_3265c6cd82ee4bf8b216da71986f2d7b = L.circleMarker(
                [43.7785175, -79.3465557],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_a5c7cb70c83e49ccafd92762cd131e72 = L.popup({"maxWidth": "100%"});

        
            var html_07f7040b52aa4006938d24a3b5c37b60 = $(`<div id="html_07f7040b52aa4006938d24a3b5c37b60" style="width: 100.0%; height: 100.0%;">Fairview, Henry Farm, Oriole, North York</div>`)[0];
            popup_a5c7cb70c83e49ccafd92762cd131e72.setContent(html_07f7040b52aa4006938d24a3b5c37b60);
        

        circle_marker_3265c6cd82ee4bf8b216da71986f2d7b.bindPopup(popup_a5c7cb70c83e49ccafd92762cd131e72)
        ;

        
    
    
            var circle_marker_54d6d24844f6490bb5bd33ba1fb2f665 = L.circleMarker(
                [43.7869473, -79.385975],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_c42757d98cd044bfba249cf0e44d7a0f = L.popup({"maxWidth": "100%"});

        
            var html_bd79be44c9dc4d0190776bc8df74bfc0 = $(`<div id="html_bd79be44c9dc4d0190776bc8df74bfc0" style="width: 100.0%; height: 100.0%;">Bayview Village, North York</div>`)[0];
            popup_c42757d98cd044bfba249cf0e44d7a0f.setContent(html_bd79be44c9dc4d0190776bc8df74bfc0);
        

        circle_marker_54d6d24844f6490bb5bd33ba1fb2f665.bindPopup(popup_c42757d98cd044bfba249cf0e44d7a0f)
        ;

        
    
    
            var circle_marker_a8d5450c4ccd45b0b0e2b68192501bf2 = L.circleMarker(
                [43.7574902, -79.37471409999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_0b3394c4325f4d169523182d3fc6970e = L.popup({"maxWidth": "100%"});

        
            var html_0105f2a188244e778c5450580baf7940 = $(`<div id="html_0105f2a188244e778c5450580baf7940" style="width: 100.0%; height: 100.0%;">Silver Hills, York Mills, North York</div>`)[0];
            popup_0b3394c4325f4d169523182d3fc6970e.setContent(html_0105f2a188244e778c5450580baf7940);
        

        circle_marker_a8d5450c4ccd45b0b0e2b68192501bf2.bindPopup(popup_0b3394c4325f4d169523182d3fc6970e)
        ;

        
    
    
            var circle_marker_5cb29f2c200f4834b5ae31f52bd77dfa = L.circleMarker(
                [43.789053, -79.40849279999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_3b60f510216949b9a1e2a97bed9c632e = L.popup({"maxWidth": "100%"});

        
            var html_03c979369701408ea6c26ca7a40a277e = $(`<div id="html_03c979369701408ea6c26ca7a40a277e" style="width: 100.0%; height: 100.0%;">Newtonbrook, Willowdale, North York</div>`)[0];
            popup_3b60f510216949b9a1e2a97bed9c632e.setContent(html_03c979369701408ea6c26ca7a40a277e);
        

        circle_marker_5cb29f2c200f4834b5ae31f52bd77dfa.bindPopup(popup_3b60f510216949b9a1e2a97bed9c632e)
        ;

        
    
    
            var circle_marker_37f093acbad04330b649e76c941bc7c3 = L.circleMarker(
                [43.7701199, -79.40849279999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_7e685c2485874525862a867d464cdf10 = L.popup({"maxWidth": "100%"});

        
            var html_9e325ad879a34141962563ba9ee9703e = $(`<div id="html_9e325ad879a34141962563ba9ee9703e" style="width: 100.0%; height: 100.0%;">Willowdale South, North York</div>`)[0];
            popup_7e685c2485874525862a867d464cdf10.setContent(html_9e325ad879a34141962563ba9ee9703e);
        

        circle_marker_37f093acbad04330b649e76c941bc7c3.bindPopup(popup_7e685c2485874525862a867d464cdf10)
        ;

        
    
    
            var circle_marker_aea285ca71ff4833ac8e27c925641a56 = L.circleMarker(
                [43.752758299999996, -79.4000493],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_409f690d358241569ca725307810b072 = L.popup({"maxWidth": "100%"});

        
            var html_ca0e1bb4d11e47e29b84e3ef8845a13f = $(`<div id="html_ca0e1bb4d11e47e29b84e3ef8845a13f" style="width: 100.0%; height: 100.0%;">York Mills West, North York</div>`)[0];
            popup_409f690d358241569ca725307810b072.setContent(html_ca0e1bb4d11e47e29b84e3ef8845a13f);
        

        circle_marker_aea285ca71ff4833ac8e27c925641a56.bindPopup(popup_409f690d358241569ca725307810b072)
        ;

        
    
    
            var circle_marker_a832d163ffe0411aaaa04148e3836875 = L.circleMarker(
                [43.7827364, -79.4422593],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_a783ee1fba57462587f054926eb110c7 = L.popup({"maxWidth": "100%"});

        
            var html_d0110d3eda1e42d4a61af6e7d685ab7f = $(`<div id="html_d0110d3eda1e42d4a61af6e7d685ab7f" style="width: 100.0%; height: 100.0%;">Willowdale West, North York</div>`)[0];
            popup_a783ee1fba57462587f054926eb110c7.setContent(html_d0110d3eda1e42d4a61af6e7d685ab7f);
        

        circle_marker_a832d163ffe0411aaaa04148e3836875.bindPopup(popup_a783ee1fba57462587f054926eb110c7)
        ;

        
    
    
            var circle_marker_2af31c059ae041408d3f9c5bd80ce9ea = L.circleMarker(
                [43.7532586, -79.3296565],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_37d47c74af3741d7a627fd341c2b3113 = L.popup({"maxWidth": "100%"});

        
            var html_e7bbd5f2585a46979c590d5720ad6120 = $(`<div id="html_e7bbd5f2585a46979c590d5720ad6120" style="width: 100.0%; height: 100.0%;">Parkwoods, North York</div>`)[0];
            popup_37d47c74af3741d7a627fd341c2b3113.setContent(html_e7bbd5f2585a46979c590d5720ad6120);
        

        circle_marker_2af31c059ae041408d3f9c5bd80ce9ea.bindPopup(popup_37d47c74af3741d7a627fd341c2b3113)
        ;

        
    
    
            var circle_marker_22b45b5085ad4a9b9bcb5b8ad83ac7fc = L.circleMarker(
                [43.745905799999996, -79.352188],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_9aca2214cb8c4616b1e4ac773925bec5 = L.popup({"maxWidth": "100%"});

        
            var html_6288856827af4b77a04d48125578d262 = $(`<div id="html_6288856827af4b77a04d48125578d262" style="width: 100.0%; height: 100.0%;">Don Mills North, North York</div>`)[0];
            popup_9aca2214cb8c4616b1e4ac773925bec5.setContent(html_6288856827af4b77a04d48125578d262);
        

        circle_marker_22b45b5085ad4a9b9bcb5b8ad83ac7fc.bindPopup(popup_9aca2214cb8c4616b1e4ac773925bec5)
        ;

        
    
    
            var circle_marker_103443388958411da37931dc63dd95b8 = L.circleMarker(
                [43.72589970000001, -79.340923],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_f5fe660280144e8d9be56e5451c293ae = L.popup({"maxWidth": "100%"});

        
            var html_7058f01b528544bb822e1a08445dfb66 = $(`<div id="html_7058f01b528544bb822e1a08445dfb66" style="width: 100.0%; height: 100.0%;">Flemingdon Park, Don Mills South, North York</div>`)[0];
            popup_f5fe660280144e8d9be56e5451c293ae.setContent(html_7058f01b528544bb822e1a08445dfb66);
        

        circle_marker_103443388958411da37931dc63dd95b8.bindPopup(popup_f5fe660280144e8d9be56e5451c293ae)
        ;

        
    
    
            var circle_marker_548a225235044412aa5cb409312a876f = L.circleMarker(
                [43.7543283, -79.4422593],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_7b12d1641ebb416482d8f71de6a3c7f8 = L.popup({"maxWidth": "100%"});

        
            var html_db425a5c04e04a35992c9a95812af178 = $(`<div id="html_db425a5c04e04a35992c9a95812af178" style="width: 100.0%; height: 100.0%;">Bathurst Manor, Downsview North, Wilson Heights, North York</div>`)[0];
            popup_7b12d1641ebb416482d8f71de6a3c7f8.setContent(html_db425a5c04e04a35992c9a95812af178);
        

        circle_marker_548a225235044412aa5cb409312a876f.bindPopup(popup_7b12d1641ebb416482d8f71de6a3c7f8)
        ;

        
    
    
            var circle_marker_8f798bdb718548c5924126a2c0b65f1b = L.circleMarker(
                [43.7679803, -79.48726190000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_99a1b3b3b70147469bc8f00df3a09912 = L.popup({"maxWidth": "100%"});

        
            var html_92995af28841421b9f8905a849db59c4 = $(`<div id="html_92995af28841421b9f8905a849db59c4" style="width: 100.0%; height: 100.0%;">Northwood Park, York University, North York</div>`)[0];
            popup_99a1b3b3b70147469bc8f00df3a09912.setContent(html_92995af28841421b9f8905a849db59c4);
        

        circle_marker_8f798bdb718548c5924126a2c0b65f1b.bindPopup(popup_99a1b3b3b70147469bc8f00df3a09912)
        ;

        
    
    
            var circle_marker_c345dd9f418147c79188a5dbedd934b5 = L.circleMarker(
                [43.737473200000004, -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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_be18ebba839b48049aed69b1506ad041 = L.popup({"maxWidth": "100%"});

        
            var html_5050688cd8764683bd80fc28c01acd4e = $(`<div id="html_5050688cd8764683bd80fc28c01acd4e" style="width: 100.0%; height: 100.0%;">CFB Toronto, Downsview East, North York</div>`)[0];
            popup_be18ebba839b48049aed69b1506ad041.setContent(html_5050688cd8764683bd80fc28c01acd4e);
        

        circle_marker_c345dd9f418147c79188a5dbedd934b5.bindPopup(popup_be18ebba839b48049aed69b1506ad041)
        ;

        
    
    
            var circle_marker_06499340d3a9493daa580aa8364c781b = L.circleMarker(
                [43.7390146, -79.5069436],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_592aa863cbc54c168b644b6657499627 = L.popup({"maxWidth": "100%"});

        
            var html_935e704fc4df4c808eaa971145662a3e = $(`<div id="html_935e704fc4df4c808eaa971145662a3e" style="width: 100.0%; height: 100.0%;">Downsview West, North York</div>`)[0];
            popup_592aa863cbc54c168b644b6657499627.setContent(html_935e704fc4df4c808eaa971145662a3e);
        

        circle_marker_06499340d3a9493daa580aa8364c781b.bindPopup(popup_592aa863cbc54c168b644b6657499627)
        ;

        
    
    
            var circle_marker_86d58d140b194b3a970caf5a208ef26d = L.circleMarker(
                [43.7284964, -79.49569740000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_0c5a49884ed44298973a8134c86f8b52 = L.popup({"maxWidth": "100%"});

        
            var html_e843ac35712c4e3783d880c7701931c3 = $(`<div id="html_e843ac35712c4e3783d880c7701931c3" style="width: 100.0%; height: 100.0%;">Downsview Central, North York</div>`)[0];
            popup_0c5a49884ed44298973a8134c86f8b52.setContent(html_e843ac35712c4e3783d880c7701931c3);
        

        circle_marker_86d58d140b194b3a970caf5a208ef26d.bindPopup(popup_0c5a49884ed44298973a8134c86f8b52)
        ;

        
    
    
            var circle_marker_0f04939a535543f888b002b0d50488d8 = L.circleMarker(
                [43.7616313, -79.52099940000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_c1780609921a42d5b9789f345abd5acd = L.popup({"maxWidth": "100%"});

        
            var html_1d9d3177ec884826b7b4848629205433 = $(`<div id="html_1d9d3177ec884826b7b4848629205433" style="width: 100.0%; height: 100.0%;">Downsview Northwest, North York</div>`)[0];
            popup_c1780609921a42d5b9789f345abd5acd.setContent(html_1d9d3177ec884826b7b4848629205433);
        

        circle_marker_0f04939a535543f888b002b0d50488d8.bindPopup(popup_c1780609921a42d5b9789f345abd5acd)
        ;

        
    
    
            var circle_marker_7e3e264648d446d58e5f13e4fcda5309 = L.circleMarker(
                [43.725882299999995, -79.31557159999998],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_3eb0dc0c709f430dbf0ffd8e39d81d46 = L.popup({"maxWidth": "100%"});

        
            var html_3c7f4c45fd2b4283b140744ec37123ff = $(`<div id="html_3c7f4c45fd2b4283b140744ec37123ff" style="width: 100.0%; height: 100.0%;">Victoria Village, North York</div>`)[0];
            popup_3eb0dc0c709f430dbf0ffd8e39d81d46.setContent(html_3c7f4c45fd2b4283b140744ec37123ff);
        

        circle_marker_7e3e264648d446d58e5f13e4fcda5309.bindPopup(popup_3eb0dc0c709f430dbf0ffd8e39d81d46)
        ;

        
    
    
            var circle_marker_128b1f810bbd4b65934e4305b3cd4582 = L.circleMarker(
                [43.7063972, -79.309937],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_688844651b23476fb1fe9cbb2f9b05ea = L.popup({"maxWidth": "100%"});

        
            var html_b921f2c70da64ff8a195a2861f8e3ed7 = $(`<div id="html_b921f2c70da64ff8a195a2861f8e3ed7" style="width: 100.0%; height: 100.0%;">Woodbine Gardens, Parkview Hill, East York</div>`)[0];
            popup_688844651b23476fb1fe9cbb2f9b05ea.setContent(html_b921f2c70da64ff8a195a2861f8e3ed7);
        

        circle_marker_128b1f810bbd4b65934e4305b3cd4582.bindPopup(popup_688844651b23476fb1fe9cbb2f9b05ea)
        ;

        
    
    
            var circle_marker_771f6835bdc9455492c71a2eefba9a85 = L.circleMarker(
                [43.695343900000005, -79.3183887],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_84891ad9727b42ef922e56084cdf6f8e = L.popup({"maxWidth": "100%"});

        
            var html_3f09a9a183414b459e8fb0a14cdfcb86 = $(`<div id="html_3f09a9a183414b459e8fb0a14cdfcb86" style="width: 100.0%; height: 100.0%;">Woodbine Heights, East York</div>`)[0];
            popup_84891ad9727b42ef922e56084cdf6f8e.setContent(html_3f09a9a183414b459e8fb0a14cdfcb86);
        

        circle_marker_771f6835bdc9455492c71a2eefba9a85.bindPopup(popup_84891ad9727b42ef922e56084cdf6f8e)
        ;

        
    
    
            var circle_marker_7e191fd76fc942f080e615a9cc1033fa = L.circleMarker(
                [43.67635739999999, -79.2930312],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_6a054b6adb8b4a6cab356e884cdf5a4f = L.popup({"maxWidth": "100%"});

        
            var html_812f594ffd6047998de714a59e8893e9 = $(`<div id="html_812f594ffd6047998de714a59e8893e9" style="width: 100.0%; height: 100.0%;">The Beaches, East Toronto</div>`)[0];
            popup_6a054b6adb8b4a6cab356e884cdf5a4f.setContent(html_812f594ffd6047998de714a59e8893e9);
        

        circle_marker_7e191fd76fc942f080e615a9cc1033fa.bindPopup(popup_6a054b6adb8b4a6cab356e884cdf5a4f)
        ;

        
    
    
            var circle_marker_08e8ddde1d604c4886e5df833cec9eda = L.circleMarker(
                [43.7090604, -79.3634517],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_41d126fe6d714937b0ed7d63b4872b46 = L.popup({"maxWidth": "100%"});

        
            var html_3cf7c7a283824123a2177f522488c3ef = $(`<div id="html_3cf7c7a283824123a2177f522488c3ef" style="width: 100.0%; height: 100.0%;">Leaside, East York</div>`)[0];
            popup_41d126fe6d714937b0ed7d63b4872b46.setContent(html_3cf7c7a283824123a2177f522488c3ef);
        

        circle_marker_08e8ddde1d604c4886e5df833cec9eda.bindPopup(popup_41d126fe6d714937b0ed7d63b4872b46)
        ;

        
    
    
            var circle_marker_fa34a818964041f69bcc988dc2e5d3f9 = L.circleMarker(
                [43.7053689, -79.34937190000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_8e0b2173915c457fa9d1f5f4ad37ffc6 = L.popup({"maxWidth": "100%"});

        
            var html_02004241140544cb96086fbe92a2f07f = $(`<div id="html_02004241140544cb96086fbe92a2f07f" style="width: 100.0%; height: 100.0%;">Thorncliffe Park, East York</div>`)[0];
            popup_8e0b2173915c457fa9d1f5f4ad37ffc6.setContent(html_02004241140544cb96086fbe92a2f07f);
        

        circle_marker_fa34a818964041f69bcc988dc2e5d3f9.bindPopup(popup_8e0b2173915c457fa9d1f5f4ad37ffc6)
        ;

        
    
    
            var circle_marker_c813b2bc9de14007b7d272fd9e7853ce = L.circleMarker(
                [43.685347, -79.3381065],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_41e83f2b6c7f4359ab1771e80dacf396 = L.popup({"maxWidth": "100%"});

        
            var html_2d8743ec71034627ba6148c9f49e76cd = $(`<div id="html_2d8743ec71034627ba6148c9f49e76cd" style="width: 100.0%; height: 100.0%;">East Toronto, East York</div>`)[0];
            popup_41e83f2b6c7f4359ab1771e80dacf396.setContent(html_2d8743ec71034627ba6148c9f49e76cd);
        

        circle_marker_c813b2bc9de14007b7d272fd9e7853ce.bindPopup(popup_41e83f2b6c7f4359ab1771e80dacf396)
        ;

        
    
    
            var circle_marker_1325035d4eb4450b819aee16f0554826 = L.circleMarker(
                [43.6795571, -79.352188],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_db7c336f651c439181a4cd844418c61d = L.popup({"maxWidth": "100%"});

        
            var html_856daa018ee04f839144a7a6f9d6db99 = $(`<div id="html_856daa018ee04f839144a7a6f9d6db99" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale, East Toronto</div>`)[0];
            popup_db7c336f651c439181a4cd844418c61d.setContent(html_856daa018ee04f839144a7a6f9d6db99);
        

        circle_marker_1325035d4eb4450b819aee16f0554826.bindPopup(popup_db7c336f651c439181a4cd844418c61d)
        ;

        
    
    
            var circle_marker_269664fb2ec741c6ac495f33430e0278 = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5324060989c245a0b2418eb72a10ca4b = L.popup({"maxWidth": "100%"});

        
            var html_5ba6f5ef8c1541449b09e745810350b7 = $(`<div id="html_5ba6f5ef8c1541449b09e745810350b7" style="width: 100.0%; height: 100.0%;">The Beaches West, India Bazaar, East Toronto</div>`)[0];
            popup_5324060989c245a0b2418eb72a10ca4b.setContent(html_5ba6f5ef8c1541449b09e745810350b7);
        

        circle_marker_269664fb2ec741c6ac495f33430e0278.bindPopup(popup_5324060989c245a0b2418eb72a10ca4b)
        ;

        
    
    
            var circle_marker_98d50b61b6e8434ab1a6cc40ff18dce6 = L.circleMarker(
                [43.6595255, -79.340923],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_7823dba27c3046d58bb37249611d91f4 = L.popup({"maxWidth": "100%"});

        
            var html_2307303124e245f398b21ef54f3390f1 = $(`<div id="html_2307303124e245f398b21ef54f3390f1" style="width: 100.0%; height: 100.0%;">Studio District, East Toronto</div>`)[0];
            popup_7823dba27c3046d58bb37249611d91f4.setContent(html_2307303124e245f398b21ef54f3390f1);
        

        circle_marker_98d50b61b6e8434ab1a6cc40ff18dce6.bindPopup(popup_7823dba27c3046d58bb37249611d91f4)
        ;

        
    
    
            var circle_marker_17b20f964b4d44488fd14f2fd189d6b4 = L.circleMarker(
                [43.7280205, -79.3887901],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_bcfd3dc2cbbd4f019aac03e46a8907d8 = L.popup({"maxWidth": "100%"});

        
            var html_af2f60516cf749af8377cf7ccf02017c = $(`<div id="html_af2f60516cf749af8377cf7ccf02017c" style="width: 100.0%; height: 100.0%;">Lawrence Park, Central Toronto</div>`)[0];
            popup_bcfd3dc2cbbd4f019aac03e46a8907d8.setContent(html_af2f60516cf749af8377cf7ccf02017c);
        

        circle_marker_17b20f964b4d44488fd14f2fd189d6b4.bindPopup(popup_bcfd3dc2cbbd4f019aac03e46a8907d8)
        ;

        
    
    
            var circle_marker_a63a7edaaa3941a3b59d260807613544 = L.circleMarker(
                [43.7127511, -79.3901975],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_577aa4ea418946168373b78f2f9ebc93 = L.popup({"maxWidth": "100%"});

        
            var html_5b98000958ea4c359487e25fb2217878 = $(`<div id="html_5b98000958ea4c359487e25fb2217878" style="width: 100.0%; height: 100.0%;">Davisville North, Central Toronto</div>`)[0];
            popup_577aa4ea418946168373b78f2f9ebc93.setContent(html_5b98000958ea4c359487e25fb2217878);
        

        circle_marker_a63a7edaaa3941a3b59d260807613544.bindPopup(popup_577aa4ea418946168373b78f2f9ebc93)
        ;

        
    
    
            var circle_marker_a178b4e48c894c8ba0cd4b3413d08c09 = L.circleMarker(
                [43.7153834, -79.40567840000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_0ab79a7fc4434b54a8e5d3f73d1611ef = L.popup({"maxWidth": "100%"});

        
            var html_7f9e8db32c374d4eb09154c77746d4a1 = $(`<div id="html_7f9e8db32c374d4eb09154c77746d4a1" style="width: 100.0%; height: 100.0%;">North Toronto West, Central Toronto</div>`)[0];
            popup_0ab79a7fc4434b54a8e5d3f73d1611ef.setContent(html_7f9e8db32c374d4eb09154c77746d4a1);
        

        circle_marker_a178b4e48c894c8ba0cd4b3413d08c09.bindPopup(popup_0ab79a7fc4434b54a8e5d3f73d1611ef)
        ;

        
    
    
            var circle_marker_140a55505e7b4ea9b5cd2cc77fd3c0b8 = L.circleMarker(
                [43.7043244, -79.3887901],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_62fca1b54bc64e609867d90452de58bc = L.popup({"maxWidth": "100%"});

        
            var html_0bd27347cc814317b1bf5405ca8cbb08 = $(`<div id="html_0bd27347cc814317b1bf5405ca8cbb08" style="width: 100.0%; height: 100.0%;">Davisville, Central Toronto</div>`)[0];
            popup_62fca1b54bc64e609867d90452de58bc.setContent(html_0bd27347cc814317b1bf5405ca8cbb08);
        

        circle_marker_140a55505e7b4ea9b5cd2cc77fd3c0b8.bindPopup(popup_62fca1b54bc64e609867d90452de58bc)
        ;

        
    
    
            var circle_marker_a81dc52525724d0e9a2ad61dc602c3eb = L.circleMarker(
                [43.6895743, -79.38315990000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_55f8c84acc84487abddc0c4156738fe5 = L.popup({"maxWidth": "100%"});

        
            var html_0f3dd3dc9c0643af8e263baa4e11a2e1 = $(`<div id="html_0f3dd3dc9c0643af8e263baa4e11a2e1" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East, Central Toronto</div>`)[0];
            popup_55f8c84acc84487abddc0c4156738fe5.setContent(html_0f3dd3dc9c0643af8e263baa4e11a2e1);
        

        circle_marker_a81dc52525724d0e9a2ad61dc602c3eb.bindPopup(popup_55f8c84acc84487abddc0c4156738fe5)
        ;

        
    
    
            var circle_marker_487f9f3bc0584334acf6fbb2c4b7d8d9 = L.circleMarker(
                [43.68641229999999, -79.4000493],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_f46d8268f5644443b5d2f59619b86f17 = L.popup({"maxWidth": "100%"});

        
            var html_962a50b054e74fa6ad352e474ffb4ef7 = $(`<div id="html_962a50b054e74fa6ad352e474ffb4ef7" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West, Central Toronto</div>`)[0];
            popup_f46d8268f5644443b5d2f59619b86f17.setContent(html_962a50b054e74fa6ad352e474ffb4ef7);
        

        circle_marker_487f9f3bc0584334acf6fbb2c4b7d8d9.bindPopup(popup_f46d8268f5644443b5d2f59619b86f17)
        ;

        
    
    
            var circle_marker_6d90d8996be44e728ec43ae949c31605 = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_6e29fbbac1b2408593710f2356c93513 = L.popup({"maxWidth": "100%"});

        
            var html_aa13a460c6f74818bcfada2e0e78e474 = $(`<div id="html_aa13a460c6f74818bcfada2e0e78e474" style="width: 100.0%; height: 100.0%;">Rosedale, Downtown Toronto</div>`)[0];
            popup_6e29fbbac1b2408593710f2356c93513.setContent(html_aa13a460c6f74818bcfada2e0e78e474);
        

        circle_marker_6d90d8996be44e728ec43ae949c31605.bindPopup(popup_6e29fbbac1b2408593710f2356c93513)
        ;

        
    
    
            var circle_marker_1231f16fe8ab48e29ef6a80577125362 = L.circleMarker(
                [43.667967, -79.3676753],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_c556e98170e14fc39032331d12598b1c = L.popup({"maxWidth": "100%"});

        
            var html_be27306511ad428a800f12146747c780 = $(`<div id="html_be27306511ad428a800f12146747c780" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town, Downtown Toronto</div>`)[0];
            popup_c556e98170e14fc39032331d12598b1c.setContent(html_be27306511ad428a800f12146747c780);
        

        circle_marker_1231f16fe8ab48e29ef6a80577125362.bindPopup(popup_c556e98170e14fc39032331d12598b1c)
        ;

        
    
    
            var circle_marker_16826f2990fe426ab2dd77e3f1349b29 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_1d46acc248724a06bb3c6c6e7ff1198b = L.popup({"maxWidth": "100%"});

        
            var html_4a180d52527347f78fc2b8a771d73c3e = $(`<div id="html_4a180d52527347f78fc2b8a771d73c3e" style="width: 100.0%; height: 100.0%;">Church and Wellesley, Downtown Toronto</div>`)[0];
            popup_1d46acc248724a06bb3c6c6e7ff1198b.setContent(html_4a180d52527347f78fc2b8a771d73c3e);
        

        circle_marker_16826f2990fe426ab2dd77e3f1349b29.bindPopup(popup_1d46acc248724a06bb3c6c6e7ff1198b)
        ;

        
    
    
            var circle_marker_c3bed1d2781f41aa932b62f6867e8d65 = L.circleMarker(
                [43.6542599, -79.3606359],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_6855e601cb7e47e493ae62d8bb4a0db1 = L.popup({"maxWidth": "100%"});

        
            var html_d53542e8d48f4b578546f0f6d286451e = $(`<div id="html_d53542e8d48f4b578546f0f6d286451e" style="width: 100.0%; height: 100.0%;">Harbourfront, Downtown Toronto</div>`)[0];
            popup_6855e601cb7e47e493ae62d8bb4a0db1.setContent(html_d53542e8d48f4b578546f0f6d286451e);
        

        circle_marker_c3bed1d2781f41aa932b62f6867e8d65.bindPopup(popup_6855e601cb7e47e493ae62d8bb4a0db1)
        ;

        
    
    
            var circle_marker_cd0bbe1b504d401dbcc7b76a4069ceeb = L.circleMarker(
                [43.6571618, -79.37893709999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_78598ab56aaf40df95b989908a088687 = L.popup({"maxWidth": "100%"});

        
            var html_f1faf8316314406b84420031dbb5ebba = $(`<div id="html_f1faf8316314406b84420031dbb5ebba" style="width: 100.0%; height: 100.0%;">Ryerson, Garden District, Downtown Toronto</div>`)[0];
            popup_78598ab56aaf40df95b989908a088687.setContent(html_f1faf8316314406b84420031dbb5ebba);
        

        circle_marker_cd0bbe1b504d401dbcc7b76a4069ceeb.bindPopup(popup_78598ab56aaf40df95b989908a088687)
        ;

        
    
    
            var circle_marker_4688925ed07a4ad8aaded1858346a479 = L.circleMarker(
                [43.6514939, -79.3754179],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5781538ac44e4cd58c567f77b4e3bdf1 = L.popup({"maxWidth": "100%"});

        
            var html_eb01d18b698b405aaa7ffaa8313dd234 = $(`<div id="html_eb01d18b698b405aaa7ffaa8313dd234" style="width: 100.0%; height: 100.0%;">St. James Town, Downtown Toronto</div>`)[0];
            popup_5781538ac44e4cd58c567f77b4e3bdf1.setContent(html_eb01d18b698b405aaa7ffaa8313dd234);
        

        circle_marker_4688925ed07a4ad8aaded1858346a479.bindPopup(popup_5781538ac44e4cd58c567f77b4e3bdf1)
        ;

        
    
    
            var circle_marker_aab04657e7304f7481a2952a022eca11 = L.circleMarker(
                [43.644770799999996, -79.3733064],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_cbeee9fcf7374c76af4dd77949407101 = L.popup({"maxWidth": "100%"});

        
            var html_8d9943eb53ed42bb831a00da03398175 = $(`<div id="html_8d9943eb53ed42bb831a00da03398175" style="width: 100.0%; height: 100.0%;">Berczy Park, Downtown Toronto</div>`)[0];
            popup_cbeee9fcf7374c76af4dd77949407101.setContent(html_8d9943eb53ed42bb831a00da03398175);
        

        circle_marker_aab04657e7304f7481a2952a022eca11.bindPopup(popup_cbeee9fcf7374c76af4dd77949407101)
        ;

        
    
    
            var circle_marker_ae20e7d4a1a54d9a90595906f186fdad = L.circleMarker(
                [43.6579524, -79.3873826],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_7771cc96bca849ba9ac1a6bb50c0bff7 = L.popup({"maxWidth": "100%"});

        
            var html_71de4ba2bf1c47b6bd9939379a07eaa7 = $(`<div id="html_71de4ba2bf1c47b6bd9939379a07eaa7" style="width: 100.0%; height: 100.0%;">Central Bay Street, Downtown Toronto</div>`)[0];
            popup_7771cc96bca849ba9ac1a6bb50c0bff7.setContent(html_71de4ba2bf1c47b6bd9939379a07eaa7);
        

        circle_marker_ae20e7d4a1a54d9a90595906f186fdad.bindPopup(popup_7771cc96bca849ba9ac1a6bb50c0bff7)
        ;

        
    
    
            var circle_marker_50f2605467ac4bcf966e9c05f9ace25d = L.circleMarker(
                [43.65057120000001, -79.3845675],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_2e296881a6f2411385d14ed233272f7a = L.popup({"maxWidth": "100%"});

        
            var html_bde22529d82c41bd8a30c7b52bf89a6f = $(`<div id="html_bde22529d82c41bd8a30c7b52bf89a6f" style="width: 100.0%; height: 100.0%;">Adelaide, King, Richmond, Downtown Toronto</div>`)[0];
            popup_2e296881a6f2411385d14ed233272f7a.setContent(html_bde22529d82c41bd8a30c7b52bf89a6f);
        

        circle_marker_50f2605467ac4bcf966e9c05f9ace25d.bindPopup(popup_2e296881a6f2411385d14ed233272f7a)
        ;

        
    
    
            var circle_marker_5962bd6d6dc64d0289f3ef2a8baa9718 = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_7444e25ada1b466195ba8c4e4eae51a8 = L.popup({"maxWidth": "100%"});

        
            var html_b1408af80778423ebf752d88af70676a = $(`<div id="html_b1408af80778423ebf752d88af70676a" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station, Downtown Toronto</div>`)[0];
            popup_7444e25ada1b466195ba8c4e4eae51a8.setContent(html_b1408af80778423ebf752d88af70676a);
        

        circle_marker_5962bd6d6dc64d0289f3ef2a8baa9718.bindPopup(popup_7444e25ada1b466195ba8c4e4eae51a8)
        ;

        
    
    
            var circle_marker_909f45af8fa04f3e869ff6138e028076 = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_fe31cdd8b8a14a558ed3c45c8ebd059c = L.popup({"maxWidth": "100%"});

        
            var html_b671b386fbc140d9a0f848301243c197 = $(`<div id="html_b671b386fbc140d9a0f848301243c197" style="width: 100.0%; height: 100.0%;">Design Exchange, Toronto Dominion Centre, Downtown Toronto</div>`)[0];
            popup_fe31cdd8b8a14a558ed3c45c8ebd059c.setContent(html_b671b386fbc140d9a0f848301243c197);
        

        circle_marker_909f45af8fa04f3e869ff6138e028076.bindPopup(popup_fe31cdd8b8a14a558ed3c45c8ebd059c)
        ;

        
    
    
            var circle_marker_ed51d2197beb4cd8a7f60fd19cccbd0c = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_f1e0cfa99a7f43169980597ba6ca4d1f = L.popup({"maxWidth": "100%"});

        
            var html_3da3867b19fd46c2b377a231069a0f67 = $(`<div id="html_3da3867b19fd46c2b377a231069a0f67" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel, Downtown Toronto</div>`)[0];
            popup_f1e0cfa99a7f43169980597ba6ca4d1f.setContent(html_3da3867b19fd46c2b377a231069a0f67);
        

        circle_marker_ed51d2197beb4cd8a7f60fd19cccbd0c.bindPopup(popup_f1e0cfa99a7f43169980597ba6ca4d1f)
        ;

        
    
    
            var circle_marker_cf53a28ac9724c74b7d7aff1603117e1 = L.circleMarker(
                [43.7332825, -79.4197497],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_b92af2736dc64e3880f3f24b89aff8db = L.popup({"maxWidth": "100%"});

        
            var html_33eb5300c5ab4f928b69de4cd9aea443 = $(`<div id="html_33eb5300c5ab4f928b69de4cd9aea443" style="width: 100.0%; height: 100.0%;">Bedford Park, Lawrence Manor East, North York</div>`)[0];
            popup_b92af2736dc64e3880f3f24b89aff8db.setContent(html_33eb5300c5ab4f928b69de4cd9aea443);
        

        circle_marker_cf53a28ac9724c74b7d7aff1603117e1.bindPopup(popup_b92af2736dc64e3880f3f24b89aff8db)
        ;

        
    
    
            var circle_marker_63375f49f180479785bb641ade659d91 = L.circleMarker(
                [43.7116948, -79.41693559999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_6cb3430eab73446589e400699779df0d = L.popup({"maxWidth": "100%"});

        
            var html_c69a6f6c458f4b34a235d0d13c2a3086 = $(`<div id="html_c69a6f6c458f4b34a235d0d13c2a3086" style="width: 100.0%; height: 100.0%;">Roselawn, Central Toronto</div>`)[0];
            popup_6cb3430eab73446589e400699779df0d.setContent(html_c69a6f6c458f4b34a235d0d13c2a3086);
        

        circle_marker_63375f49f180479785bb641ade659d91.bindPopup(popup_6cb3430eab73446589e400699779df0d)
        ;

        
    
    
            var circle_marker_3920675d57ad4f7287aa613fc70575e9 = L.circleMarker(
                [43.6969476, -79.41130720000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_896c50348ebd43e9af6c0a6593f73a2a = L.popup({"maxWidth": "100%"});

        
            var html_c7311b84f8f844f3b0e2503ba48694ef = $(`<div id="html_c7311b84f8f844f3b0e2503ba48694ef" style="width: 100.0%; height: 100.0%;">Forest Hill North, Forest Hill West, Central Toronto</div>`)[0];
            popup_896c50348ebd43e9af6c0a6593f73a2a.setContent(html_c7311b84f8f844f3b0e2503ba48694ef);
        

        circle_marker_3920675d57ad4f7287aa613fc70575e9.bindPopup(popup_896c50348ebd43e9af6c0a6593f73a2a)
        ;

        
    
    
            var circle_marker_8806cea82e694367a4a069c5039184f2 = L.circleMarker(
                [43.6727097, -79.40567840000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_9bcdd82fabf84fdda95103098ce7feb1 = L.popup({"maxWidth": "100%"});

        
            var html_c94d47c7a5e246e29a95470e16b8ca2a = $(`<div id="html_c94d47c7a5e246e29a95470e16b8ca2a" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville, Central Toronto</div>`)[0];
            popup_9bcdd82fabf84fdda95103098ce7feb1.setContent(html_c94d47c7a5e246e29a95470e16b8ca2a);
        

        circle_marker_8806cea82e694367a4a069c5039184f2.bindPopup(popup_9bcdd82fabf84fdda95103098ce7feb1)
        ;

        
    
    
            var circle_marker_a406299c2bfd4257b72778f33ff6b604 = L.circleMarker(
                [43.6626956, -79.4000493],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_ea649c318a7b45f2911d871501149aa7 = L.popup({"maxWidth": "100%"});

        
            var html_f8ef05ead6fa482b8671a268d27d4539 = $(`<div id="html_f8ef05ead6fa482b8671a268d27d4539" style="width: 100.0%; height: 100.0%;">Harbord, University of Toronto, Downtown Toronto</div>`)[0];
            popup_ea649c318a7b45f2911d871501149aa7.setContent(html_f8ef05ead6fa482b8671a268d27d4539);
        

        circle_marker_a406299c2bfd4257b72778f33ff6b604.bindPopup(popup_ea649c318a7b45f2911d871501149aa7)
        ;

        
    
    
            var circle_marker_33abb49151bd40d3bdd29bba8c1441f3 = L.circleMarker(
                [43.6532057, -79.4000493],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_da01967d38d34030b3d6b3f515e10969 = L.popup({"maxWidth": "100%"});

        
            var html_4b57f5d84147420a9ff1c8434001b6e3 = $(`<div id="html_4b57f5d84147420a9ff1c8434001b6e3" style="width: 100.0%; height: 100.0%;">Chinatown, Grange Park, Kensington Market, Downtown Toronto</div>`)[0];
            popup_da01967d38d34030b3d6b3f515e10969.setContent(html_4b57f5d84147420a9ff1c8434001b6e3);
        

        circle_marker_33abb49151bd40d3bdd29bba8c1441f3.bindPopup(popup_da01967d38d34030b3d6b3f515e10969)
        ;

        
    
    
            var circle_marker_035ef438a2274520885ad7d8fe752f3d = L.circleMarker(
                [43.6289467, -79.3944199],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5051139773ca4c1985dd3bf85257a692 = L.popup({"maxWidth": "100%"});

        
            var html_2379d02ab09a44c9a6494e0f03ab13c2 = $(`<div id="html_2379d02ab09a44c9a6494e0f03ab13c2" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara, Downtown Toronto</div>`)[0];
            popup_5051139773ca4c1985dd3bf85257a692.setContent(html_2379d02ab09a44c9a6494e0f03ab13c2);
        

        circle_marker_035ef438a2274520885ad7d8fe752f3d.bindPopup(popup_5051139773ca4c1985dd3bf85257a692)
        ;

        
    
    
            var circle_marker_872826f2fa1646f9a058d5c209d1226e = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_b0b1d1d3d2ee4c6785645936995440d4 = L.popup({"maxWidth": "100%"});

        
            var html_eb844f874add4d5b8f73899ecbeb75b9 = $(`<div id="html_eb844f874add4d5b8f73899ecbeb75b9" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade, Downtown Toronto</div>`)[0];
            popup_b0b1d1d3d2ee4c6785645936995440d4.setContent(html_eb844f874add4d5b8f73899ecbeb75b9);
        

        circle_marker_872826f2fa1646f9a058d5c209d1226e.bindPopup(popup_b0b1d1d3d2ee4c6785645936995440d4)
        ;

        
    
    
            var circle_marker_15de0ccf2fe749639fc38b7c00659863 = L.circleMarker(
                [43.6484292, -79.3822802],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_afa30fdbd46c4b18b99fcaaa16d7d3fa = L.popup({"maxWidth": "100%"});

        
            var html_9e3c674f87be429cb9d29feebdd7a225 = $(`<div id="html_9e3c674f87be429cb9d29feebdd7a225" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city, Downtown Toronto</div>`)[0];
            popup_afa30fdbd46c4b18b99fcaaa16d7d3fa.setContent(html_9e3c674f87be429cb9d29feebdd7a225);
        

        circle_marker_15de0ccf2fe749639fc38b7c00659863.bindPopup(popup_afa30fdbd46c4b18b99fcaaa16d7d3fa)
        ;

        
    
    
            var circle_marker_c983e0370b4f43d39007946354220c06 = L.circleMarker(
                [43.718517999999996, -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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5362c85e45e74b75bc3474c21fff2e0e = L.popup({"maxWidth": "100%"});

        
            var html_c8c94c51c6ba422e9794b7ac582f63f8 = $(`<div id="html_c8c94c51c6ba422e9794b7ac582f63f8" style="width: 100.0%; height: 100.0%;">Lawrence Heights, Lawrence Manor, North York</div>`)[0];
            popup_5362c85e45e74b75bc3474c21fff2e0e.setContent(html_c8c94c51c6ba422e9794b7ac582f63f8);
        

        circle_marker_c983e0370b4f43d39007946354220c06.bindPopup(popup_5362c85e45e74b75bc3474c21fff2e0e)
        ;

        
    
    
            var circle_marker_5e36a11d4ac1448eadb00b0c4867de50 = L.circleMarker(
                [43.709577, -79.44507259999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_58bdd6410f3c48479f64b29a687c9536 = L.popup({"maxWidth": "100%"});

        
            var html_a5fa1e1c93494128a0203ab17fc6bafa = $(`<div id="html_a5fa1e1c93494128a0203ab17fc6bafa" style="width: 100.0%; height: 100.0%;">Glencairn, North York</div>`)[0];
            popup_58bdd6410f3c48479f64b29a687c9536.setContent(html_a5fa1e1c93494128a0203ab17fc6bafa);
        

        circle_marker_5e36a11d4ac1448eadb00b0c4867de50.bindPopup(popup_58bdd6410f3c48479f64b29a687c9536)
        ;

        
    
    
            var circle_marker_f014a7baa0c54229be68fd15cc38fdba = L.circleMarker(
                [43.6937813, -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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_4a802a0672dc4dca9a07b9e97a69b299 = L.popup({"maxWidth": "100%"});

        
            var html_0f43bb75846346539472c3079bd4744b = $(`<div id="html_0f43bb75846346539472c3079bd4744b" style="width: 100.0%; height: 100.0%;">Humewood-Cedarvale, York</div>`)[0];
            popup_4a802a0672dc4dca9a07b9e97a69b299.setContent(html_0f43bb75846346539472c3079bd4744b);
        

        circle_marker_f014a7baa0c54229be68fd15cc38fdba.bindPopup(popup_4a802a0672dc4dca9a07b9e97a69b299)
        ;

        
    
    
            var circle_marker_b4c2c84580884a8aa6855a741aef3bc0 = L.circleMarker(
                [43.6890256, -79.453512],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_a18ec1654bb642baaf3a0dcf3a17db57 = L.popup({"maxWidth": "100%"});

        
            var html_518b99398957414a86a8ec2cfce11368 = $(`<div id="html_518b99398957414a86a8ec2cfce11368" style="width: 100.0%; height: 100.0%;">Caledonia-Fairbanks, York</div>`)[0];
            popup_a18ec1654bb642baaf3a0dcf3a17db57.setContent(html_518b99398957414a86a8ec2cfce11368);
        

        circle_marker_b4c2c84580884a8aa6855a741aef3bc0.bindPopup(popup_a18ec1654bb642baaf3a0dcf3a17db57)
        ;

        
    
    
            var circle_marker_0fd8e29a40d64be6b5f0012eaf59ee1e = L.circleMarker(
                [43.669542, -79.4225637],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_93a21a6654f54755a807cb13d7d30eed = L.popup({"maxWidth": "100%"});

        
            var html_9b4e210ec89542b98732143ef57a53c8 = $(`<div id="html_9b4e210ec89542b98732143ef57a53c8" style="width: 100.0%; height: 100.0%;">Christie, Downtown Toronto</div>`)[0];
            popup_93a21a6654f54755a807cb13d7d30eed.setContent(html_9b4e210ec89542b98732143ef57a53c8);
        

        circle_marker_0fd8e29a40d64be6b5f0012eaf59ee1e.bindPopup(popup_93a21a6654f54755a807cb13d7d30eed)
        ;

        
    
    
            var circle_marker_106b793b77d84f0e8b7d845d1bbfdbc0 = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_ff4d847008424b4f8317188cf5e4e5a8 = L.popup({"maxWidth": "100%"});

        
            var html_53a942fbbb9f4112933dc73b0d928958 = $(`<div id="html_53a942fbbb9f4112933dc73b0d928958" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin, West Toronto</div>`)[0];
            popup_ff4d847008424b4f8317188cf5e4e5a8.setContent(html_53a942fbbb9f4112933dc73b0d928958);
        

        circle_marker_106b793b77d84f0e8b7d845d1bbfdbc0.bindPopup(popup_ff4d847008424b4f8317188cf5e4e5a8)
        ;

        
    
    
            var circle_marker_c87e21375007452189afffd1b2b031d7 = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_a48d58a9d89e46d0b7e3facad984c633 = L.popup({"maxWidth": "100%"});

        
            var html_9e7b0addd6184cb28cbec6ee984a5609 = $(`<div id="html_9e7b0addd6184cb28cbec6ee984a5609" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity, West Toronto</div>`)[0];
            popup_a48d58a9d89e46d0b7e3facad984c633.setContent(html_9e7b0addd6184cb28cbec6ee984a5609);
        

        circle_marker_c87e21375007452189afffd1b2b031d7.bindPopup(popup_a48d58a9d89e46d0b7e3facad984c633)
        ;

        
    
    
            var circle_marker_d5169414db1940d5b5cc32e4933794a8 = 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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_edd18534cb784d6da3c292d07d7bd721 = L.popup({"maxWidth": "100%"});

        
            var html_98d4528bb41b4589801b00d2e7dc2eaf = $(`<div id="html_98d4528bb41b4589801b00d2e7dc2eaf" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village, West Toronto</div>`)[0];
            popup_edd18534cb784d6da3c292d07d7bd721.setContent(html_98d4528bb41b4589801b00d2e7dc2eaf);
        

        circle_marker_d5169414db1940d5b5cc32e4933794a8.bindPopup(popup_edd18534cb784d6da3c292d07d7bd721)
        ;

        
    
    
            var circle_marker_67fc3d352eb74559aacec51cdf05c01f = L.circleMarker(
                [43.713756200000006, -79.4900738],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_b06b82fdb10845c696878682ca63eeec = L.popup({"maxWidth": "100%"});

        
            var html_b25a945ca9cf476497ee46e770069c84 = $(`<div id="html_b25a945ca9cf476497ee46e770069c84" style="width: 100.0%; height: 100.0%;">Downsview, North Park, Upwood Park, North York</div>`)[0];
            popup_b06b82fdb10845c696878682ca63eeec.setContent(html_b25a945ca9cf476497ee46e770069c84);
        

        circle_marker_67fc3d352eb74559aacec51cdf05c01f.bindPopup(popup_b06b82fdb10845c696878682ca63eeec)
        ;

        
    
    
            var circle_marker_89593546ecdb404a8f5056e7387176c0 = L.circleMarker(
                [43.6911158, -79.47601329999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_919acc8cf77044bd99803f22c0dddccc = L.popup({"maxWidth": "100%"});

        
            var html_a1c92e5a5b4f4e6d9c4ba5f01c5cc101 = $(`<div id="html_a1c92e5a5b4f4e6d9c4ba5f01c5cc101" style="width: 100.0%; height: 100.0%;">Del Ray, Keelesdale, Mount Dennis, Silverthorn, York</div>`)[0];
            popup_919acc8cf77044bd99803f22c0dddccc.setContent(html_a1c92e5a5b4f4e6d9c4ba5f01c5cc101);
        

        circle_marker_89593546ecdb404a8f5056e7387176c0.bindPopup(popup_919acc8cf77044bd99803f22c0dddccc)
        ;

        
    
    
            var circle_marker_adc42aebdb8747c5808cfa5a87174a23 = L.circleMarker(
                [43.67318529999999, -79.48726190000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_26d7aef99f534b9f89081ed92242aaa4 = L.popup({"maxWidth": "100%"});

        
            var html_2c4b0e5707f84998b627ffe674648094 = $(`<div id="html_2c4b0e5707f84998b627ffe674648094" style="width: 100.0%; height: 100.0%;">The Junction North, Runnymede, York</div>`)[0];
            popup_26d7aef99f534b9f89081ed92242aaa4.setContent(html_2c4b0e5707f84998b627ffe674648094);
        

        circle_marker_adc42aebdb8747c5808cfa5a87174a23.bindPopup(popup_26d7aef99f534b9f89081ed92242aaa4)
        ;

        
    
    
            var circle_marker_7a04a64a958f4e788c6c96ee5b4eaa90 = 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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5df619b081d54aefb7ab3d0fcee33f26 = L.popup({"maxWidth": "100%"});

        
            var html_df05f2dd0b784d0bb1c7a7dc1790c448 = $(`<div id="html_df05f2dd0b784d0bb1c7a7dc1790c448" style="width: 100.0%; height: 100.0%;">High Park, The Junction South, West Toronto</div>`)[0];
            popup_5df619b081d54aefb7ab3d0fcee33f26.setContent(html_df05f2dd0b784d0bb1c7a7dc1790c448);
        

        circle_marker_7a04a64a958f4e788c6c96ee5b4eaa90.bindPopup(popup_5df619b081d54aefb7ab3d0fcee33f26)
        ;

        
    
    
            var circle_marker_8439877ccdd944a8b474dc94fff6c22f = 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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_fb6d92992e7540939a98fc1e4e6dcbdf = L.popup({"maxWidth": "100%"});

        
            var html_9eefa96ae00948fdba51a418ac1559a4 = $(`<div id="html_9eefa96ae00948fdba51a418ac1559a4" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles, West Toronto</div>`)[0];
            popup_fb6d92992e7540939a98fc1e4e6dcbdf.setContent(html_9eefa96ae00948fdba51a418ac1559a4);
        

        circle_marker_8439877ccdd944a8b474dc94fff6c22f.bindPopup(popup_fb6d92992e7540939a98fc1e4e6dcbdf)
        ;

        
    
    
            var circle_marker_6a4ba4f8aee745d6bb9c6ca0e4017995 = 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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_98579028a3d3475d89aca04a0297a7cd = L.popup({"maxWidth": "100%"});

        
            var html_0b1149d9da834a97b957d3dc52c6fa74 = $(`<div id="html_0b1149d9da834a97b957d3dc52c6fa74" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea, West Toronto</div>`)[0];
            popup_98579028a3d3475d89aca04a0297a7cd.setContent(html_0b1149d9da834a97b957d3dc52c6fa74);
        

        circle_marker_6a4ba4f8aee745d6bb9c6ca0e4017995.bindPopup(popup_98579028a3d3475d89aca04a0297a7cd)
        ;

        
    
    
            var circle_marker_e0c57775e43d4fb082c21cb9c25bf8e1 = 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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_cdcf5f4c1d7849b99617575757105c64 = L.popup({"maxWidth": "100%"});

        
            var html_6656f83107ee47b9ad2fca58f85d5bea = $(`<div id="html_6656f83107ee47b9ad2fca58f85d5bea" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park, Downtown Toronto</div>`)[0];
            popup_cdcf5f4c1d7849b99617575757105c64.setContent(html_6656f83107ee47b9ad2fca58f85d5bea);
        

        circle_marker_e0c57775e43d4fb082c21cb9c25bf8e1.bindPopup(popup_cdcf5f4c1d7849b99617575757105c64)
        ;

        
    
    
            var circle_marker_1c08936fc8d04ed59e1bafedddd14346 = L.circleMarker(
                [43.6369656, -79.61581899999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_41fe59334b7448948454fd521c280851 = L.popup({"maxWidth": "100%"});

        
            var html_18d8956a31f047e8a51084a6bb9df5d4 = $(`<div id="html_18d8956a31f047e8a51084a6bb9df5d4" style="width: 100.0%; height: 100.0%;">Canada Post Gateway Processing Centre, Mississauga</div>`)[0];
            popup_41fe59334b7448948454fd521c280851.setContent(html_18d8956a31f047e8a51084a6bb9df5d4);
        

        circle_marker_1c08936fc8d04ed59e1bafedddd14346.bindPopup(popup_41fe59334b7448948454fd521c280851)
        ;

        
    
    
            var circle_marker_0b03f6aa7edd40cf95edd42744fcbf3e = 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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_d051d719fdd944bd9a5aea30d46dcb28 = L.popup({"maxWidth": "100%"});

        
            var html_1bca8b1894ea441a821cf185f0e59056 = $(`<div id="html_1bca8b1894ea441a821cf185f0e59056" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern, East Toronto</div>`)[0];
            popup_d051d719fdd944bd9a5aea30d46dcb28.setContent(html_1bca8b1894ea441a821cf185f0e59056);
        

        circle_marker_0b03f6aa7edd40cf95edd42744fcbf3e.bindPopup(popup_d051d719fdd944bd9a5aea30d46dcb28)
        ;

        
    
    
            var circle_marker_2ae1f646de2b4572b89918c9d3af078e = L.circleMarker(
                [43.6056466, -79.50132070000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_2cfff769a32a41738e8f5b9178d0e282 = L.popup({"maxWidth": "100%"});

        
            var html_ef3f083cb10b479696e6035c5970c6d3 = $(`<div id="html_ef3f083cb10b479696e6035c5970c6d3" style="width: 100.0%; height: 100.0%;">Humber Bay Shores, Mimico South, New Toronto, Etobicoke</div>`)[0];
            popup_2cfff769a32a41738e8f5b9178d0e282.setContent(html_ef3f083cb10b479696e6035c5970c6d3);
        

        circle_marker_2ae1f646de2b4572b89918c9d3af078e.bindPopup(popup_2cfff769a32a41738e8f5b9178d0e282)
        ;

        
    
    
            var circle_marker_707ccb872d3c456ab4abd9da85256287 = L.circleMarker(
                [43.60241370000001, -79.54348409999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_135682645ff54112b5430229e6a75b16 = L.popup({"maxWidth": "100%"});

        
            var html_ffcca0341500445ab1410a52753743da = $(`<div id="html_ffcca0341500445ab1410a52753743da" style="width: 100.0%; height: 100.0%;">Alderwood, Long Branch, Etobicoke</div>`)[0];
            popup_135682645ff54112b5430229e6a75b16.setContent(html_ffcca0341500445ab1410a52753743da);
        

        circle_marker_707ccb872d3c456ab4abd9da85256287.bindPopup(popup_135682645ff54112b5430229e6a75b16)
        ;

        
    
    
            var circle_marker_039c4e57e3824d85aa5801a1032b44d2 = L.circleMarker(
                [43.653653600000005, -79.5069436],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_648b5540a184496c88d2dda6babce580 = L.popup({"maxWidth": "100%"});

        
            var html_54168f3d4f3f40c392f2134ead51a993 = $(`<div id="html_54168f3d4f3f40c392f2134ead51a993" style="width: 100.0%; height: 100.0%;">The Kingsway, Montgomery Road, Old Mill North, Etobicoke</div>`)[0];
            popup_648b5540a184496c88d2dda6babce580.setContent(html_54168f3d4f3f40c392f2134ead51a993);
        

        circle_marker_039c4e57e3824d85aa5801a1032b44d2.bindPopup(popup_648b5540a184496c88d2dda6babce580)
        ;

        
    
    
            var circle_marker_f0c0d73a48ba4f8eafca787d0fdfc765 = L.circleMarker(
                [43.6362579, -79.49850909999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5aa4852f7a3e4305993716838eeff0a7 = L.popup({"maxWidth": "100%"});

        
            var html_ebd2b7858a244917bb2189f76d124778 = $(`<div id="html_ebd2b7858a244917bb2189f76d124778" style="width: 100.0%; height: 100.0%;">Humber Bay, King&#39;s Mill Park, Kingsway Park South East, Mimico NE, Old Mill South, The Queensway East, Royal York South East, Sunnylea, Etobicoke</div>`)[0];
            popup_5aa4852f7a3e4305993716838eeff0a7.setContent(html_ebd2b7858a244917bb2189f76d124778);
        

        circle_marker_f0c0d73a48ba4f8eafca787d0fdfc765.bindPopup(popup_5aa4852f7a3e4305993716838eeff0a7)
        ;

        
    
    
            var circle_marker_d1d228736ba8478bbc61d7d9cb8986c0 = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_1c5995bb09e0420ea865766978594bce = L.popup({"maxWidth": "100%"});

        
            var html_106b213aa29e42b6beef85e8b4d2db75 = $(`<div id="html_106b213aa29e42b6beef85e8b4d2db75" style="width: 100.0%; height: 100.0%;">Kingsway Park South West, Mimico NW, The Queensway West, Royal York South West, South of Bloor, Etobicoke</div>`)[0];
            popup_1c5995bb09e0420ea865766978594bce.setContent(html_106b213aa29e42b6beef85e8b4d2db75);
        

        circle_marker_d1d228736ba8478bbc61d7d9cb8986c0.bindPopup(popup_1c5995bb09e0420ea865766978594bce)
        ;

        
    
    
            var circle_marker_da8368fc9676411785387273e87a82c3 = L.circleMarker(
                [43.6678556, -79.53224240000002],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_b209e74f02014289b5554623ed5cb4ef = L.popup({"maxWidth": "100%"});

        
            var html_b4ccb54196fa427ea43c5a1f355b6d78 = $(`<div id="html_b4ccb54196fa427ea43c5a1f355b6d78" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park, Queen&#39;s Park</div>`)[0];
            popup_b209e74f02014289b5554623ed5cb4ef.setContent(html_b4ccb54196fa427ea43c5a1f355b6d78);
        

        circle_marker_da8368fc9676411785387273e87a82c3.bindPopup(popup_b209e74f02014289b5554623ed5cb4ef)
        ;

        
    
    
            var circle_marker_864a7757c2a04143b869a0e3d0f8b442 = L.circleMarker(
                [43.6509432, -79.55472440000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_8a73d70e604047c39521b36874c2b3f9 = L.popup({"maxWidth": "100%"});

        
            var html_64fda3d2fea041f2ac0e88026f7a711a = $(`<div id="html_64fda3d2fea041f2ac0e88026f7a711a" style="width: 100.0%; height: 100.0%;">Cloverdale, Islington, Martin Grove, Princess Gardens, West Deane Park, Etobicoke</div>`)[0];
            popup_8a73d70e604047c39521b36874c2b3f9.setContent(html_64fda3d2fea041f2ac0e88026f7a711a);
        

        circle_marker_864a7757c2a04143b869a0e3d0f8b442.bindPopup(popup_8a73d70e604047c39521b36874c2b3f9)
        ;

        
    
    
            var circle_marker_46f8a7692ac543ff9f88d9bd4d3a7889 = L.circleMarker(
                [43.6435152, -79.57720079999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5f1e15eac9454e1f9569a02056808f0e = L.popup({"maxWidth": "100%"});

        
            var html_23c357ef2be54b6a8f9bb86ba0c1c7f9 = $(`<div id="html_23c357ef2be54b6a8f9bb86ba0c1c7f9" style="width: 100.0%; height: 100.0%;">Bloordale Gardens, Eringate, Markland Wood, Old Burnhamthorpe, Etobicoke</div>`)[0];
            popup_5f1e15eac9454e1f9569a02056808f0e.setContent(html_23c357ef2be54b6a8f9bb86ba0c1c7f9);
        

        circle_marker_46f8a7692ac543ff9f88d9bd4d3a7889.bindPopup(popup_5f1e15eac9454e1f9569a02056808f0e)
        ;

        
    
    
            var circle_marker_67a7990ba7824b0ca5bbdcff9a7c5b36 = L.circleMarker(
                [43.7563033, -79.56596329999999],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_a482f2ad047f426ca00597828613834b = L.popup({"maxWidth": "100%"});

        
            var html_d68ae88d1690467a864e12a8d59c0c01 = $(`<div id="html_d68ae88d1690467a864e12a8d59c0c01" style="width: 100.0%; height: 100.0%;">Humber Summit, North York</div>`)[0];
            popup_a482f2ad047f426ca00597828613834b.setContent(html_d68ae88d1690467a864e12a8d59c0c01);
        

        circle_marker_67a7990ba7824b0ca5bbdcff9a7c5b36.bindPopup(popup_a482f2ad047f426ca00597828613834b)
        ;

        
    
    
            var circle_marker_7c697fb8ccc04f439e77cc24634ff245 = L.circleMarker(
                [43.7247659, -79.53224240000002],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_67fd20b5887a4403933aee4f35655e84 = L.popup({"maxWidth": "100%"});

        
            var html_a83d6c2e78574142acf4ad57b3aab608 = $(`<div id="html_a83d6c2e78574142acf4ad57b3aab608" style="width: 100.0%; height: 100.0%;">Emery, Humberlea, North York</div>`)[0];
            popup_67fd20b5887a4403933aee4f35655e84.setContent(html_a83d6c2e78574142acf4ad57b3aab608);
        

        circle_marker_7c697fb8ccc04f439e77cc24634ff245.bindPopup(popup_67fd20b5887a4403933aee4f35655e84)
        ;

        
    
    
            var circle_marker_90121fd536724b118e370da4da5ae1d1 = L.circleMarker(
                [43.706876, -79.51818840000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_91e795d9698343f1bc8a6f1f1ba0cf7e = L.popup({"maxWidth": "100%"});

        
            var html_2a025998dc574a4bb7e5a065a9ce5192 = $(`<div id="html_2a025998dc574a4bb7e5a065a9ce5192" style="width: 100.0%; height: 100.0%;">Weston, York</div>`)[0];
            popup_91e795d9698343f1bc8a6f1f1ba0cf7e.setContent(html_2a025998dc574a4bb7e5a065a9ce5192);
        

        circle_marker_90121fd536724b118e370da4da5ae1d1.bindPopup(popup_91e795d9698343f1bc8a6f1f1ba0cf7e)
        ;

        
    
    
            var circle_marker_4cbdec9b67404f669b020c7e78f39ace = L.circleMarker(
                [43.696319, -79.53224240000002],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_d89f20da9ff6461eb11404b9acf64095 = L.popup({"maxWidth": "100%"});

        
            var html_43e7ffceba074bb9a1d79fbf4b7df3b6 = $(`<div id="html_43e7ffceba074bb9a1d79fbf4b7df3b6" style="width: 100.0%; height: 100.0%;">Westmount, Etobicoke</div>`)[0];
            popup_d89f20da9ff6461eb11404b9acf64095.setContent(html_43e7ffceba074bb9a1d79fbf4b7df3b6);
        

        circle_marker_4cbdec9b67404f669b020c7e78f39ace.bindPopup(popup_d89f20da9ff6461eb11404b9acf64095)
        ;

        
    
    
            var circle_marker_954bb8b7905e49c2ab6640e6abdbe347 = L.circleMarker(
                [43.6889054, -79.55472440000001],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_4c5164113014420da26c980543af9c11 = L.popup({"maxWidth": "100%"});

        
            var html_3c9b4a5ea6414cbb86422e5cd93153ee = $(`<div id="html_3c9b4a5ea6414cbb86422e5cd93153ee" style="width: 100.0%; height: 100.0%;">Kingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips, Etobicoke</div>`)[0];
            popup_4c5164113014420da26c980543af9c11.setContent(html_3c9b4a5ea6414cbb86422e5cd93153ee);
        

        circle_marker_954bb8b7905e49c2ab6640e6abdbe347.bindPopup(popup_4c5164113014420da26c980543af9c11)
        ;

        
    
    
            var circle_marker_aac922434fb448a89f1c5e2bd98d894a = L.circleMarker(
                [43.739416399999996, -79.5884369],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_6d1abfc433ea46468c640531c9b6a979 = L.popup({"maxWidth": "100%"});

        
            var html_84639c611fa147bbbf40cd35de2d7ff1 = $(`<div id="html_84639c611fa147bbbf40cd35de2d7ff1" style="width: 100.0%; height: 100.0%;">Albion Gardens, Beaumond Heights, Humbergate, Jamestown, Mount Olive, Silverstone, South Steeles, Thistletown, Etobicoke</div>`)[0];
            popup_6d1abfc433ea46468c640531c9b6a979.setContent(html_84639c611fa147bbbf40cd35de2d7ff1);
        

        circle_marker_aac922434fb448a89f1c5e2bd98d894a.bindPopup(popup_6d1abfc433ea46468c640531c9b6a979)
        ;

        
    
    
            var circle_marker_455499bd73e343c897f961796f6e4024 = L.circleMarker(
                [43.706748299999994, -79.5940544],
                {"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_ba5042e1bb924848890e6087ed8e7459);
        
    
        var popup_5b9e55bd41fc44a8aa2c13e092ccea8d = L.popup({"maxWidth": "100%"});

        
            var html_94833515c7a54a4aae10acb91f688d59 = $(`<div id="html_94833515c7a54a4aae10acb91f688d59" style="width: 100.0%; height: 100.0%;">Northwest, Etobicoke</div>`)[0];
            popup_5b9e55bd41fc44a8aa2c13e092ccea8d.setContent(html_94833515c7a54a4aae10acb91f688d59);
        

        circle_marker_455499bd73e343c897f961796f6e4024.bindPopup(popup_5b9e55bd41fc44a8aa2c13e092ccea8d)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7f2a2e7aa790>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create map of Toronto using latitude and longitude values\n",
"map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
"\n",
"# add markers to map\n",
"for lat, lng, borough, neighborhood in zip(toronto_df_new['Latitude'], toronto_df_new['Longitude'], toronto_df_new['Borough'], toronto_df_new['Neighborhood']):\n",
" label = '{}, {}'.format(neighborhood, borough)\n",
" label = folium.Popup(label, parse_html=True)\n",
" folium.CircleMarker(\n",
" [lat, lng],\n",
" radius=5,\n",
" popup=label,\n",
" color='blue',\n",
" fill=True,\n",
" fill_color='#3186cc',\n",
" fill_opacity=0.7).add_to(map_toronto) \n",
" \n",
"map_toronto "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 13. Filter only boroughs that contain the word Toronto "
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['East Toronto', 'Central Toronto', 'Downtown Toronto', 'West Toronto']"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# filter borough names that contain the word Toronto\n",
"borough_names = list(toronto_df_new.Borough.unique())\n",
"\n",
"borough_with_toronto = []\n",
"\n",
"for x in borough_names:\n",
" if \"toronto\" in x.lower():\n",
" borough_with_toronto.append(x)\n",
" \n",
"borough_with_toronto"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(39, 5)\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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th>Latitude</th>\n",
" <th>Longitude</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M4K</td>\n",
" <td>East Toronto</td>\n",
" <td>The Danforth West, Riverdale</td>\n",
" <td>43.679557</td>\n",
" <td>-79.352188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4L</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches West, India Bazaar</td>\n",
" <td>43.668999</td>\n",
" <td>-79.315572</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M4M</td>\n",
" <td>East Toronto</td>\n",
" <td>Studio District</td>\n",
" <td>43.659526</td>\n",
" <td>-79.340923</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M4N</td>\n",
" <td>Central Toronto</td>\n",
" <td>Lawrence Park</td>\n",
" <td>43.728020</td>\n",
" <td>-79.388790</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough Neighborhood Latitude \\\n",
"0 M4E East Toronto The Beaches 43.676357 \n",
"1 M4K East Toronto The Danforth West, Riverdale 43.679557 \n",
"2 M4L East Toronto The Beaches West, India Bazaar 43.668999 \n",
"3 M4M East Toronto Studio District 43.659526 \n",
"4 M4N Central Toronto Lawrence Park 43.728020 \n",
"\n",
" Longitude \n",
"0 -79.293031 \n",
"1 -79.352188 \n",
"2 -79.315572 \n",
"3 -79.340923 \n",
"4 -79.388790 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create a new DataFrame with only boroughs that contain the word Toronto\n",
"toronto_df_new = toronto_df_new[toronto_df_new['Borough'].isin(borough_with_toronto)].reset_index(drop=True)\n",
"print(toronto_df_new.shape)\n",
"toronto_df_new.head()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_1dc70a3fa8d44616b330671e5da4b1a1 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_1dc70a3fa8d44616b330671e5da4b1a1" ></div>
        
</body>
<script>    
    
            var map_1dc70a3fa8d44616b330671e5da4b1a1 = L.map(
                "map_1dc70a3fa8d44616b330671e5da4b1a1",
                {
                    center: [43.653963, -79.387207],
                    crs: L.CRS.EPSG3857,
                    zoom: 10,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_853a8f134bd34278be00b126336863be = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
            var circle_marker_f68feecff7d743af9b4ce12d22cd8121 = L.circleMarker(
                [43.67635739999999, -79.2930312],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_1c1e167e029e4a8d9d8ae05c09b2ae77 = L.popup({"maxWidth": "100%"});

        
            var html_3c2b1676644c45d19781ae53d9ea8fe9 = $(`<div id="html_3c2b1676644c45d19781ae53d9ea8fe9" style="width: 100.0%; height: 100.0%;">The Beaches, East Toronto</div>`)[0];
            popup_1c1e167e029e4a8d9d8ae05c09b2ae77.setContent(html_3c2b1676644c45d19781ae53d9ea8fe9);
        

        circle_marker_f68feecff7d743af9b4ce12d22cd8121.bindPopup(popup_1c1e167e029e4a8d9d8ae05c09b2ae77)
        ;

        
    
    
            var circle_marker_e0c68cf3a4514b058b9216b24be16b94 = L.circleMarker(
                [43.6795571, -79.352188],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_7716fa34df1f4ef28cfe2802c127c0d7 = L.popup({"maxWidth": "100%"});

        
            var html_d7a61ca5a7a845129894cadd2b0d5e31 = $(`<div id="html_d7a61ca5a7a845129894cadd2b0d5e31" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale, East Toronto</div>`)[0];
            popup_7716fa34df1f4ef28cfe2802c127c0d7.setContent(html_d7a61ca5a7a845129894cadd2b0d5e31);
        

        circle_marker_e0c68cf3a4514b058b9216b24be16b94.bindPopup(popup_7716fa34df1f4ef28cfe2802c127c0d7)
        ;

        
    
    
            var circle_marker_076d9466fb634163bb53a6f01bcbec3f = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_e45ff42c90fd4d43a68633c10f5bb063 = L.popup({"maxWidth": "100%"});

        
            var html_54751d359d46408aaa2f40efd9037543 = $(`<div id="html_54751d359d46408aaa2f40efd9037543" style="width: 100.0%; height: 100.0%;">The Beaches West, India Bazaar, East Toronto</div>`)[0];
            popup_e45ff42c90fd4d43a68633c10f5bb063.setContent(html_54751d359d46408aaa2f40efd9037543);
        

        circle_marker_076d9466fb634163bb53a6f01bcbec3f.bindPopup(popup_e45ff42c90fd4d43a68633c10f5bb063)
        ;

        
    
    
            var circle_marker_5a92e0a65a464386bb8e8b5aab65ebfb = L.circleMarker(
                [43.6595255, -79.340923],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_22480409e8894941a20709845e1707fd = L.popup({"maxWidth": "100%"});

        
            var html_2f76e27c1d704b459cf0b5666c3782e3 = $(`<div id="html_2f76e27c1d704b459cf0b5666c3782e3" style="width: 100.0%; height: 100.0%;">Studio District, East Toronto</div>`)[0];
            popup_22480409e8894941a20709845e1707fd.setContent(html_2f76e27c1d704b459cf0b5666c3782e3);
        

        circle_marker_5a92e0a65a464386bb8e8b5aab65ebfb.bindPopup(popup_22480409e8894941a20709845e1707fd)
        ;

        
    
    
            var circle_marker_5c94cd24f24443b38db6c4bb4b9f0e9f = L.circleMarker(
                [43.7280205, -79.3887901],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_3b182725188e447e916b13e8ab37791c = L.popup({"maxWidth": "100%"});

        
            var html_80b91ac10dc348aab60b641e8994f8be = $(`<div id="html_80b91ac10dc348aab60b641e8994f8be" style="width: 100.0%; height: 100.0%;">Lawrence Park, Central Toronto</div>`)[0];
            popup_3b182725188e447e916b13e8ab37791c.setContent(html_80b91ac10dc348aab60b641e8994f8be);
        

        circle_marker_5c94cd24f24443b38db6c4bb4b9f0e9f.bindPopup(popup_3b182725188e447e916b13e8ab37791c)
        ;

        
    
    
            var circle_marker_8cb1719e9b68422c8a42a62e25a33f9c = L.circleMarker(
                [43.7127511, -79.3901975],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_11f06b4126af450fbb40330154daf2c6 = L.popup({"maxWidth": "100%"});

        
            var html_efe58819687b402c9e065c43e26d49e6 = $(`<div id="html_efe58819687b402c9e065c43e26d49e6" style="width: 100.0%; height: 100.0%;">Davisville North, Central Toronto</div>`)[0];
            popup_11f06b4126af450fbb40330154daf2c6.setContent(html_efe58819687b402c9e065c43e26d49e6);
        

        circle_marker_8cb1719e9b68422c8a42a62e25a33f9c.bindPopup(popup_11f06b4126af450fbb40330154daf2c6)
        ;

        
    
    
            var circle_marker_e21ebe0baac54a8080087b63fc3d5ffc = L.circleMarker(
                [43.7153834, -79.40567840000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_1eff2de2427c44c290dc225ce03aa16a = L.popup({"maxWidth": "100%"});

        
            var html_46ec96cc7ae84f4e925c93b608e06e40 = $(`<div id="html_46ec96cc7ae84f4e925c93b608e06e40" style="width: 100.0%; height: 100.0%;">North Toronto West, Central Toronto</div>`)[0];
            popup_1eff2de2427c44c290dc225ce03aa16a.setContent(html_46ec96cc7ae84f4e925c93b608e06e40);
        

        circle_marker_e21ebe0baac54a8080087b63fc3d5ffc.bindPopup(popup_1eff2de2427c44c290dc225ce03aa16a)
        ;

        
    
    
            var circle_marker_007b8cec0d2241098bec659b8795ddf4 = L.circleMarker(
                [43.7043244, -79.3887901],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_e5cab19d0b4f4eb5b3bbbb57ae5b1e51 = L.popup({"maxWidth": "100%"});

        
            var html_62315fd509e54811920588deed3d83c2 = $(`<div id="html_62315fd509e54811920588deed3d83c2" style="width: 100.0%; height: 100.0%;">Davisville, Central Toronto</div>`)[0];
            popup_e5cab19d0b4f4eb5b3bbbb57ae5b1e51.setContent(html_62315fd509e54811920588deed3d83c2);
        

        circle_marker_007b8cec0d2241098bec659b8795ddf4.bindPopup(popup_e5cab19d0b4f4eb5b3bbbb57ae5b1e51)
        ;

        
    
    
            var circle_marker_82797f6af77e4092bdc101bffcf24c1b = L.circleMarker(
                [43.6895743, -79.38315990000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_909a73255dcc4de08626ea86857566fa = L.popup({"maxWidth": "100%"});

        
            var html_19c8658198a74508a728b7fc3c3a49f6 = $(`<div id="html_19c8658198a74508a728b7fc3c3a49f6" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East, Central Toronto</div>`)[0];
            popup_909a73255dcc4de08626ea86857566fa.setContent(html_19c8658198a74508a728b7fc3c3a49f6);
        

        circle_marker_82797f6af77e4092bdc101bffcf24c1b.bindPopup(popup_909a73255dcc4de08626ea86857566fa)
        ;

        
    
    
            var circle_marker_7f2f5f28e38c4340a0209570c091bbcc = L.circleMarker(
                [43.68641229999999, -79.4000493],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_40136a6a0d464241aebb0523fe29d172 = L.popup({"maxWidth": "100%"});

        
            var html_a8dca2cadb334efbaa05b8503b18b4f9 = $(`<div id="html_a8dca2cadb334efbaa05b8503b18b4f9" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West, Central Toronto</div>`)[0];
            popup_40136a6a0d464241aebb0523fe29d172.setContent(html_a8dca2cadb334efbaa05b8503b18b4f9);
        

        circle_marker_7f2f5f28e38c4340a0209570c091bbcc.bindPopup(popup_40136a6a0d464241aebb0523fe29d172)
        ;

        
    
    
            var circle_marker_d115290f5f31440089c00b2872e60b86 = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_f261cc0fd66a466baa0819a53fd704be = L.popup({"maxWidth": "100%"});

        
            var html_5141b495974c4bdf98654ef912e4e7b7 = $(`<div id="html_5141b495974c4bdf98654ef912e4e7b7" style="width: 100.0%; height: 100.0%;">Rosedale, Downtown Toronto</div>`)[0];
            popup_f261cc0fd66a466baa0819a53fd704be.setContent(html_5141b495974c4bdf98654ef912e4e7b7);
        

        circle_marker_d115290f5f31440089c00b2872e60b86.bindPopup(popup_f261cc0fd66a466baa0819a53fd704be)
        ;

        
    
    
            var circle_marker_6cdfeffd956f474ea3427c0e4c1d63f3 = L.circleMarker(
                [43.667967, -79.3676753],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_38318a95d09143f4a4cdf76f8ccd4a67 = L.popup({"maxWidth": "100%"});

        
            var html_07c86486bb614bac9b572e4d6ff3c745 = $(`<div id="html_07c86486bb614bac9b572e4d6ff3c745" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town, Downtown Toronto</div>`)[0];
            popup_38318a95d09143f4a4cdf76f8ccd4a67.setContent(html_07c86486bb614bac9b572e4d6ff3c745);
        

        circle_marker_6cdfeffd956f474ea3427c0e4c1d63f3.bindPopup(popup_38318a95d09143f4a4cdf76f8ccd4a67)
        ;

        
    
    
            var circle_marker_8fc07dfc54ad4f4ea42ccaf75fb79e79 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_6e49b6f1166b47e88adda1b7c160e992 = L.popup({"maxWidth": "100%"});

        
            var html_157966b585524d158da1a25c60ed83bd = $(`<div id="html_157966b585524d158da1a25c60ed83bd" style="width: 100.0%; height: 100.0%;">Church and Wellesley, Downtown Toronto</div>`)[0];
            popup_6e49b6f1166b47e88adda1b7c160e992.setContent(html_157966b585524d158da1a25c60ed83bd);
        

        circle_marker_8fc07dfc54ad4f4ea42ccaf75fb79e79.bindPopup(popup_6e49b6f1166b47e88adda1b7c160e992)
        ;

        
    
    
            var circle_marker_8edc2288017e4fa19337455136e6aedd = L.circleMarker(
                [43.6542599, -79.3606359],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_d3bd503710aa4449acb81cd680777f1e = L.popup({"maxWidth": "100%"});

        
            var html_6da9909782734f819337ec3095275363 = $(`<div id="html_6da9909782734f819337ec3095275363" style="width: 100.0%; height: 100.0%;">Harbourfront, Downtown Toronto</div>`)[0];
            popup_d3bd503710aa4449acb81cd680777f1e.setContent(html_6da9909782734f819337ec3095275363);
        

        circle_marker_8edc2288017e4fa19337455136e6aedd.bindPopup(popup_d3bd503710aa4449acb81cd680777f1e)
        ;

        
    
    
            var circle_marker_f127fcd58d9e48b983fda97709223d44 = L.circleMarker(
                [43.6571618, -79.37893709999999],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_cfde7ea2e33f459fb88718e525dac93f = L.popup({"maxWidth": "100%"});

        
            var html_3163168184c448b39222a0fa7ebfc8f3 = $(`<div id="html_3163168184c448b39222a0fa7ebfc8f3" style="width: 100.0%; height: 100.0%;">Ryerson, Garden District, Downtown Toronto</div>`)[0];
            popup_cfde7ea2e33f459fb88718e525dac93f.setContent(html_3163168184c448b39222a0fa7ebfc8f3);
        

        circle_marker_f127fcd58d9e48b983fda97709223d44.bindPopup(popup_cfde7ea2e33f459fb88718e525dac93f)
        ;

        
    
    
            var circle_marker_2d85d68070a8447e94419f8a56e553cb = L.circleMarker(
                [43.6514939, -79.3754179],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_31b2205a8dce4f85840e9b6d718c09aa = L.popup({"maxWidth": "100%"});

        
            var html_570051d94ecf4844886a9f0918ea7487 = $(`<div id="html_570051d94ecf4844886a9f0918ea7487" style="width: 100.0%; height: 100.0%;">St. James Town, Downtown Toronto</div>`)[0];
            popup_31b2205a8dce4f85840e9b6d718c09aa.setContent(html_570051d94ecf4844886a9f0918ea7487);
        

        circle_marker_2d85d68070a8447e94419f8a56e553cb.bindPopup(popup_31b2205a8dce4f85840e9b6d718c09aa)
        ;

        
    
    
            var circle_marker_6d98318f8aba45869027c17e79b26281 = L.circleMarker(
                [43.644770799999996, -79.3733064],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_6f9358eac09a440aa8ec0a047699f997 = L.popup({"maxWidth": "100%"});

        
            var html_b89a4f0cb9c844bead00cc33178d9a8a = $(`<div id="html_b89a4f0cb9c844bead00cc33178d9a8a" style="width: 100.0%; height: 100.0%;">Berczy Park, Downtown Toronto</div>`)[0];
            popup_6f9358eac09a440aa8ec0a047699f997.setContent(html_b89a4f0cb9c844bead00cc33178d9a8a);
        

        circle_marker_6d98318f8aba45869027c17e79b26281.bindPopup(popup_6f9358eac09a440aa8ec0a047699f997)
        ;

        
    
    
            var circle_marker_6d83342eea0e4224933068f659970882 = L.circleMarker(
                [43.6579524, -79.3873826],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_6b706e40f8614cf28815882104d9b499 = L.popup({"maxWidth": "100%"});

        
            var html_63b8cca465a84296915c5693d2fdd941 = $(`<div id="html_63b8cca465a84296915c5693d2fdd941" style="width: 100.0%; height: 100.0%;">Central Bay Street, Downtown Toronto</div>`)[0];
            popup_6b706e40f8614cf28815882104d9b499.setContent(html_63b8cca465a84296915c5693d2fdd941);
        

        circle_marker_6d83342eea0e4224933068f659970882.bindPopup(popup_6b706e40f8614cf28815882104d9b499)
        ;

        
    
    
            var circle_marker_aeaf13eb080d44ca9c22dfc63977673a = L.circleMarker(
                [43.65057120000001, -79.3845675],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_8d56ae7116d9411296308a45e42616e7 = L.popup({"maxWidth": "100%"});

        
            var html_569530bf37f7434a8bdc5b2eb8f11d5f = $(`<div id="html_569530bf37f7434a8bdc5b2eb8f11d5f" style="width: 100.0%; height: 100.0%;">Adelaide, King, Richmond, Downtown Toronto</div>`)[0];
            popup_8d56ae7116d9411296308a45e42616e7.setContent(html_569530bf37f7434a8bdc5b2eb8f11d5f);
        

        circle_marker_aeaf13eb080d44ca9c22dfc63977673a.bindPopup(popup_8d56ae7116d9411296308a45e42616e7)
        ;

        
    
    
            var circle_marker_8334452b392d4a9aae4a2201806e4f1b = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_b548a5f64b304dc38e179c934a89b0fd = L.popup({"maxWidth": "100%"});

        
            var html_79b1128c82eb4da1b4c10f65d4d2f25b = $(`<div id="html_79b1128c82eb4da1b4c10f65d4d2f25b" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station, Downtown Toronto</div>`)[0];
            popup_b548a5f64b304dc38e179c934a89b0fd.setContent(html_79b1128c82eb4da1b4c10f65d4d2f25b);
        

        circle_marker_8334452b392d4a9aae4a2201806e4f1b.bindPopup(popup_b548a5f64b304dc38e179c934a89b0fd)
        ;

        
    
    
            var circle_marker_5fcac193647f4e31bd143a719f6880a3 = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_f1cc07f1c7ce41e1b2790e5e81ce9f84 = L.popup({"maxWidth": "100%"});

        
            var html_5b676ea97b844d8c98fecd9acb183b04 = $(`<div id="html_5b676ea97b844d8c98fecd9acb183b04" style="width: 100.0%; height: 100.0%;">Design Exchange, Toronto Dominion Centre, Downtown Toronto</div>`)[0];
            popup_f1cc07f1c7ce41e1b2790e5e81ce9f84.setContent(html_5b676ea97b844d8c98fecd9acb183b04);
        

        circle_marker_5fcac193647f4e31bd143a719f6880a3.bindPopup(popup_f1cc07f1c7ce41e1b2790e5e81ce9f84)
        ;

        
    
    
            var circle_marker_d742a135d9554c488b49f6be7835042e = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_d4e5c4c278d745f4855dcf44f051fefe = L.popup({"maxWidth": "100%"});

        
            var html_d886597a97434b969a9ac666c24e463d = $(`<div id="html_d886597a97434b969a9ac666c24e463d" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel, Downtown Toronto</div>`)[0];
            popup_d4e5c4c278d745f4855dcf44f051fefe.setContent(html_d886597a97434b969a9ac666c24e463d);
        

        circle_marker_d742a135d9554c488b49f6be7835042e.bindPopup(popup_d4e5c4c278d745f4855dcf44f051fefe)
        ;

        
    
    
            var circle_marker_8be384e439474e2fa8549662315be201 = L.circleMarker(
                [43.7116948, -79.41693559999999],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_32f64947e5074ca496a6eb72a4350cda = L.popup({"maxWidth": "100%"});

        
            var html_c864cf664b0e4436bc42b06ac05e16c8 = $(`<div id="html_c864cf664b0e4436bc42b06ac05e16c8" style="width: 100.0%; height: 100.0%;">Roselawn, Central Toronto</div>`)[0];
            popup_32f64947e5074ca496a6eb72a4350cda.setContent(html_c864cf664b0e4436bc42b06ac05e16c8);
        

        circle_marker_8be384e439474e2fa8549662315be201.bindPopup(popup_32f64947e5074ca496a6eb72a4350cda)
        ;

        
    
    
            var circle_marker_82ac298c3029449c91afa4dad05cbd05 = L.circleMarker(
                [43.6969476, -79.41130720000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_75e7cc620df2437d8a4882b91571ce23 = L.popup({"maxWidth": "100%"});

        
            var html_da90b5df46374e7e999ba4bcaad73949 = $(`<div id="html_da90b5df46374e7e999ba4bcaad73949" style="width: 100.0%; height: 100.0%;">Forest Hill North, Forest Hill West, Central Toronto</div>`)[0];
            popup_75e7cc620df2437d8a4882b91571ce23.setContent(html_da90b5df46374e7e999ba4bcaad73949);
        

        circle_marker_82ac298c3029449c91afa4dad05cbd05.bindPopup(popup_75e7cc620df2437d8a4882b91571ce23)
        ;

        
    
    
            var circle_marker_7226955d352549018039d48c4144db0a = L.circleMarker(
                [43.6727097, -79.40567840000001],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_56551916df674d80bfe3a10e79ba921f = L.popup({"maxWidth": "100%"});

        
            var html_d1cc73af83ac43c9b0d1eda0062066fe = $(`<div id="html_d1cc73af83ac43c9b0d1eda0062066fe" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville, Central Toronto</div>`)[0];
            popup_56551916df674d80bfe3a10e79ba921f.setContent(html_d1cc73af83ac43c9b0d1eda0062066fe);
        

        circle_marker_7226955d352549018039d48c4144db0a.bindPopup(popup_56551916df674d80bfe3a10e79ba921f)
        ;

        
    
    
            var circle_marker_30f0f5af96064053883e3a93763924b9 = L.circleMarker(
                [43.6626956, -79.4000493],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_e2ac303a29714a1da6fda280ff32a13f = L.popup({"maxWidth": "100%"});

        
            var html_4f329681dde34dbd999709c6869639ca = $(`<div id="html_4f329681dde34dbd999709c6869639ca" style="width: 100.0%; height: 100.0%;">Harbord, University of Toronto, Downtown Toronto</div>`)[0];
            popup_e2ac303a29714a1da6fda280ff32a13f.setContent(html_4f329681dde34dbd999709c6869639ca);
        

        circle_marker_30f0f5af96064053883e3a93763924b9.bindPopup(popup_e2ac303a29714a1da6fda280ff32a13f)
        ;

        
    
    
            var circle_marker_8c635c041fec4b9491905f857afef2d7 = L.circleMarker(
                [43.6532057, -79.4000493],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_a66c56764c9e4189af8b8e8fb086f0d0 = L.popup({"maxWidth": "100%"});

        
            var html_276a2452a9eb4af8bdfefe46d0d147da = $(`<div id="html_276a2452a9eb4af8bdfefe46d0d147da" style="width: 100.0%; height: 100.0%;">Chinatown, Grange Park, Kensington Market, Downtown Toronto</div>`)[0];
            popup_a66c56764c9e4189af8b8e8fb086f0d0.setContent(html_276a2452a9eb4af8bdfefe46d0d147da);
        

        circle_marker_8c635c041fec4b9491905f857afef2d7.bindPopup(popup_a66c56764c9e4189af8b8e8fb086f0d0)
        ;

        
    
    
            var circle_marker_fc5b32bdb68d47d49e27b93c7ede7870 = L.circleMarker(
                [43.6289467, -79.3944199],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_40c6912cad0f4455ab9bb4baccc290ec = L.popup({"maxWidth": "100%"});

        
            var html_e859ea240d0b4aa49afed81d0e9bf047 = $(`<div id="html_e859ea240d0b4aa49afed81d0e9bf047" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara, Downtown Toronto</div>`)[0];
            popup_40c6912cad0f4455ab9bb4baccc290ec.setContent(html_e859ea240d0b4aa49afed81d0e9bf047);
        

        circle_marker_fc5b32bdb68d47d49e27b93c7ede7870.bindPopup(popup_40c6912cad0f4455ab9bb4baccc290ec)
        ;

        
    
    
            var circle_marker_969c9f67a1b34e9fbcb557396d75e371 = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_294f8e463329422b9a06abbb89e3f3c4 = L.popup({"maxWidth": "100%"});

        
            var html_7e09153cbf7a41678fa408c79a7a49db = $(`<div id="html_7e09153cbf7a41678fa408c79a7a49db" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade, Downtown Toronto</div>`)[0];
            popup_294f8e463329422b9a06abbb89e3f3c4.setContent(html_7e09153cbf7a41678fa408c79a7a49db);
        

        circle_marker_969c9f67a1b34e9fbcb557396d75e371.bindPopup(popup_294f8e463329422b9a06abbb89e3f3c4)
        ;

        
    
    
            var circle_marker_6fcb5c72d60a44fcb406afc33602b711 = L.circleMarker(
                [43.6484292, -79.3822802],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_ddc3384732ff4f848bcc47330c41d974 = L.popup({"maxWidth": "100%"});

        
            var html_e50ea88606d04a2e84679cc961541b4e = $(`<div id="html_e50ea88606d04a2e84679cc961541b4e" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city, Downtown Toronto</div>`)[0];
            popup_ddc3384732ff4f848bcc47330c41d974.setContent(html_e50ea88606d04a2e84679cc961541b4e);
        

        circle_marker_6fcb5c72d60a44fcb406afc33602b711.bindPopup(popup_ddc3384732ff4f848bcc47330c41d974)
        ;

        
    
    
            var circle_marker_10d1ef4d326747cbb073cd59d93be4d5 = L.circleMarker(
                [43.669542, -79.4225637],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_7031c0f8406d4940925804dbf635e923 = L.popup({"maxWidth": "100%"});

        
            var html_301e5086f330407aaafd675388212cd5 = $(`<div id="html_301e5086f330407aaafd675388212cd5" style="width: 100.0%; height: 100.0%;">Christie, Downtown Toronto</div>`)[0];
            popup_7031c0f8406d4940925804dbf635e923.setContent(html_301e5086f330407aaafd675388212cd5);
        

        circle_marker_10d1ef4d326747cbb073cd59d93be4d5.bindPopup(popup_7031c0f8406d4940925804dbf635e923)
        ;

        
    
    
            var circle_marker_f1fabeab41a549279cafc5ea137799f6 = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_0352ba821dee478786077073dcfc1568 = L.popup({"maxWidth": "100%"});

        
            var html_07cbaf9d69aa464c8b41077b4b3cbc2b = $(`<div id="html_07cbaf9d69aa464c8b41077b4b3cbc2b" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin, West Toronto</div>`)[0];
            popup_0352ba821dee478786077073dcfc1568.setContent(html_07cbaf9d69aa464c8b41077b4b3cbc2b);
        

        circle_marker_f1fabeab41a549279cafc5ea137799f6.bindPopup(popup_0352ba821dee478786077073dcfc1568)
        ;

        
    
    
            var circle_marker_4d9c7dd17b9d42e6a71ef7bad8500ba7 = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_54a6324aba554990b5c21ec8bb8fab7e = L.popup({"maxWidth": "100%"});

        
            var html_63eb7b85b7314577b0eeb2d48b733f80 = $(`<div id="html_63eb7b85b7314577b0eeb2d48b733f80" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity, West Toronto</div>`)[0];
            popup_54a6324aba554990b5c21ec8bb8fab7e.setContent(html_63eb7b85b7314577b0eeb2d48b733f80);
        

        circle_marker_4d9c7dd17b9d42e6a71ef7bad8500ba7.bindPopup(popup_54a6324aba554990b5c21ec8bb8fab7e)
        ;

        
    
    
            var circle_marker_10491b7d5f804ae0a6f601d1405ffdf4 = 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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_57febcb2f3e2440f97e026d7675afa59 = L.popup({"maxWidth": "100%"});

        
            var html_829348e777b1455c913022e7f4dba623 = $(`<div id="html_829348e777b1455c913022e7f4dba623" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village, West Toronto</div>`)[0];
            popup_57febcb2f3e2440f97e026d7675afa59.setContent(html_829348e777b1455c913022e7f4dba623);
        

        circle_marker_10491b7d5f804ae0a6f601d1405ffdf4.bindPopup(popup_57febcb2f3e2440f97e026d7675afa59)
        ;

        
    
    
            var circle_marker_87cf7bff5ecb4840a50e4c55510d074a = 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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_17fdad0f89bb4de2b4b016b42b0cbe2b = L.popup({"maxWidth": "100%"});

        
            var html_63f262033d3440a5873016e1a04aa3a5 = $(`<div id="html_63f262033d3440a5873016e1a04aa3a5" style="width: 100.0%; height: 100.0%;">High Park, The Junction South, West Toronto</div>`)[0];
            popup_17fdad0f89bb4de2b4b016b42b0cbe2b.setContent(html_63f262033d3440a5873016e1a04aa3a5);
        

        circle_marker_87cf7bff5ecb4840a50e4c55510d074a.bindPopup(popup_17fdad0f89bb4de2b4b016b42b0cbe2b)
        ;

        
    
    
            var circle_marker_5b7cf3bc3d8a4554bf20a54f6dc420ff = 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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_a400fa107153449fbda266e9b63ea35a = L.popup({"maxWidth": "100%"});

        
            var html_7c763b9b765e46f4bb325a2a9d82de67 = $(`<div id="html_7c763b9b765e46f4bb325a2a9d82de67" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles, West Toronto</div>`)[0];
            popup_a400fa107153449fbda266e9b63ea35a.setContent(html_7c763b9b765e46f4bb325a2a9d82de67);
        

        circle_marker_5b7cf3bc3d8a4554bf20a54f6dc420ff.bindPopup(popup_a400fa107153449fbda266e9b63ea35a)
        ;

        
    
    
            var circle_marker_dcf8696ba02d487588727b67bf40d05c = 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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_90f33cde34a84319b60e11db3df45856 = L.popup({"maxWidth": "100%"});

        
            var html_f7b611a7c8634c939b0903f0d3bc388b = $(`<div id="html_f7b611a7c8634c939b0903f0d3bc388b" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea, West Toronto</div>`)[0];
            popup_90f33cde34a84319b60e11db3df45856.setContent(html_f7b611a7c8634c939b0903f0d3bc388b);
        

        circle_marker_dcf8696ba02d487588727b67bf40d05c.bindPopup(popup_90f33cde34a84319b60e11db3df45856)
        ;

        
    
    
            var circle_marker_5da7d58c957947c4bd985c79fbf2078f = 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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_af88628b374f4269b8b49528511dd894 = L.popup({"maxWidth": "100%"});

        
            var html_09cb727fbfb349b1aefcfe035a6558b8 = $(`<div id="html_09cb727fbfb349b1aefcfe035a6558b8" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park, Downtown Toronto</div>`)[0];
            popup_af88628b374f4269b8b49528511dd894.setContent(html_09cb727fbfb349b1aefcfe035a6558b8);
        

        circle_marker_5da7d58c957947c4bd985c79fbf2078f.bindPopup(popup_af88628b374f4269b8b49528511dd894)
        ;

        
    
    
            var circle_marker_4e892ab7e3614feb8351fdb210f1f0a5 = 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_1dc70a3fa8d44616b330671e5da4b1a1);
        
    
        var popup_3aeb9446121a4cd3854e983721b4d764 = L.popup({"maxWidth": "100%"});

        
            var html_f8a4ed7422bd4d0d83f951d4361d8206 = $(`<div id="html_f8a4ed7422bd4d0d83f951d4361d8206" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern, East Toronto</div>`)[0];
            popup_3aeb9446121a4cd3854e983721b4d764.setContent(html_f8a4ed7422bd4d0d83f951d4361d8206);
        

        circle_marker_4e892ab7e3614feb8351fdb210f1f0a5.bindPopup(popup_3aeb9446121a4cd3854e983721b4d764)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
],
"text/plain": [
"<folium.folium.Map at 0x7f2a2cdb7550>"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# create map of Toronto using latitude and longitude values\n",
"map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
"\n",
"# add markers to map\n",
"for lat, lng, borough, neighborhood in zip(toronto_df_new['Latitude'], toronto_df_new['Longitude'], toronto_df_new['Borough'], toronto_df_new['Neighborhood']):\n",
" label = '{}, {}'.format(neighborhood, borough)\n",
" label = folium.Popup(label, parse_html=True)\n",
" folium.CircleMarker(\n",
" [lat, lng],\n",
" radius=5,\n",
" popup=label,\n",
" color='blue',\n",
" fill=True,\n",
" fill_color='#3186cc',\n",
" fill_opacity=0.7).add_to(map_toronto) \n",
" \n",
"map_toronto "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 14. Use the Foursquare API to explore the neighborhoods"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Your credentails:\n",
"CLIENT_ID: your Foursquare ID\n",
"CLIENT_SECRET:your Foursquare Secret\n"
]
}
],
"source": [
"# define Foursquare Credentials and Version\n",
"CLIENT_ID = 'your Foursquare ID' # your Foursquare ID\n",
"CLIENT_SECRET = 'your Foursquare Secret' # your Foursquare Secret\n",
"VERSION = '20180605' # Foursquare API version\n",
"\n",
"print('Your credentails:')\n",
"print('CLIENT_ID: ' + CLIENT_ID)\n",
"print('CLIENT_SECRET:' + CLIENT_SECRET)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Now, let's get the top 100 venues that are within a radius of 500 meters.**"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"radius = 500\n",
"LIMIT = 100\n",
"\n",
"venues = []\n",
"\n",
"for lat, long, post, borough, neighborhood in zip(toronto_df_new['Latitude'], toronto_df_new['Longitude'], toronto_df_new['PostalCode'], toronto_df_new['Borough'], toronto_df_new['Neighborhood']):\n",
" url = \"https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}\".format(\n",
" CLIENT_ID,\n",
" CLIENT_SECRET,\n",
" VERSION,\n",
" lat,\n",
" long,\n",
" radius, \n",
" LIMIT)\n",
" \n",
" results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
" \n",
" for venue in results:\n",
" venues.append((\n",
" post, \n",
" borough,\n",
" neighborhood,\n",
" lat, \n",
" long, \n",
" venue['venue']['name'], \n",
" venue['venue']['location']['lat'], \n",
" venue['venue']['location']['lng'], \n",
" venue['venue']['categories'][0]['name']))"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1714, 9)\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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th>BoroughLatitude</th>\n",
" <th>BoroughLongitude</th>\n",
" <th>VenueName</th>\n",
" <th>VenueLatitude</th>\n",
" <th>VenueLongitude</th>\n",
" <th>VenueCategory</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>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>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>The Big Carrot Natural Food Market</td>\n",
" <td>43.678879</td>\n",
" <td>-79.297734</td>\n",
" <td>Health Food Store</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>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>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>Upper Beaches</td>\n",
" <td>43.680563</td>\n",
" <td>-79.292869</td>\n",
" <td>Neighborhood</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>43.676357</td>\n",
" <td>-79.293031</td>\n",
" <td>Seaspray Restaurant</td>\n",
" <td>43.678888</td>\n",
" <td>-79.298167</td>\n",
" <td>Asian Restaurant</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough Neighborhood BoroughLatitude BoroughLongitude \\\n",
"0 M4E East Toronto The Beaches 43.676357 -79.293031 \n",
"1 M4E East Toronto The Beaches 43.676357 -79.293031 \n",
"2 M4E East Toronto The Beaches 43.676357 -79.293031 \n",
"3 M4E East Toronto The Beaches 43.676357 -79.293031 \n",
"4 M4E East Toronto The Beaches 43.676357 -79.293031 \n",
"\n",
" VenueName VenueLatitude VenueLongitude \\\n",
"0 Glen Manor Ravine 43.676821 -79.293942 \n",
"1 The Big Carrot Natural Food Market 43.678879 -79.297734 \n",
"2 Grover Pub and Grub 43.679181 -79.297215 \n",
"3 Upper Beaches 43.680563 -79.292869 \n",
"4 Seaspray Restaurant 43.678888 -79.298167 \n",
"\n",
" VenueCategory \n",
"0 Trail \n",
"1 Health Food Store \n",
"2 Pub \n",
"3 Neighborhood \n",
"4 Asian Restaurant "
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# convert the venues list into a new DataFrame\n",
"venues_df = pd.DataFrame(venues)\n",
"\n",
"# define the column names\n",
"venues_df.columns = ['PostalCode', 'Borough', 'Neighborhood', 'BoroughLatitude', 'BoroughLongitude', 'VenueName', 'VenueLatitude', 'VenueLongitude', 'VenueCategory']\n",
"\n",
"print(venues_df.shape)\n",
"venues_df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Let's check how many venues were returned for each PostalCode**"
]
},
{
"cell_type": "code",
"execution_count": 25,
"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></th>\n",
" <th></th>\n",
" <th>BoroughLatitude</th>\n",
" <th>BoroughLongitude</th>\n",
" <th>VenueName</th>\n",
" <th>VenueLatitude</th>\n",
" <th>VenueLongitude</th>\n",
" <th>VenueCategory</th>\n",
" </tr>\n",
" <tr>\n",
" <th>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhood</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>M4E</th>\n",
" <th>East Toronto</th>\n",
" <th>The Beaches</th>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4K</th>\n",
" <th>East Toronto</th>\n",
" <th>The Danforth West, Riverdale</th>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4L</th>\n",
" <th>East Toronto</th>\n",
" <th>The Beaches West, India Bazaar</th>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4M</th>\n",
" <th>East Toronto</th>\n",
" <th>Studio District</th>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" <td>42</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4N</th>\n",
" <th>Central Toronto</th>\n",
" <th>Lawrence Park</th>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4P</th>\n",
" <th>Central Toronto</th>\n",
" <th>Davisville North</th>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4R</th>\n",
" <th>Central Toronto</th>\n",
" <th>North Toronto West</th>\n",
" <td>21</td>\n",
" <td>21</td>\n",
" <td>21</td>\n",
" <td>21</td>\n",
" <td>21</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4S</th>\n",
" <th>Central Toronto</th>\n",
" <th>Davisville</th>\n",
" <td>32</td>\n",
" <td>32</td>\n",
" <td>32</td>\n",
" <td>32</td>\n",
" <td>32</td>\n",
" <td>32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4T</th>\n",
" <th>Central Toronto</th>\n",
" <th>Moore Park, Summerhill East</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4V</th>\n",
" <th>Central Toronto</th>\n",
" <th>Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</th>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" <td>15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4W</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Rosedale</th>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4X</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Cabbagetown, St. James Town</th>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M4Y</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Church and Wellesley</th>\n",
" <td>82</td>\n",
" <td>82</td>\n",
" <td>82</td>\n",
" <td>82</td>\n",
" <td>82</td>\n",
" <td>82</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5A</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Harbourfront</th>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" <td>47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5B</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Ryerson, Garden District</th>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5C</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>St. James Town</th>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5E</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Berczy Park</th>\n",
" <td>56</td>\n",
" <td>56</td>\n",
" <td>56</td>\n",
" <td>56</td>\n",
" <td>56</td>\n",
" <td>56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5G</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Central Bay Street</th>\n",
" <td>83</td>\n",
" <td>83</td>\n",
" <td>83</td>\n",
" <td>83</td>\n",
" <td>83</td>\n",
" <td>83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5H</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Adelaide, King, Richmond</th>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5J</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Harbourfront East, Toronto Islands, Union Station</th>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5K</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Design Exchange, Toronto Dominion Centre</th>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5L</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Commerce Court, Victoria Hotel</th>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5N</th>\n",
" <th>Central Toronto</th>\n",
" <th>Roselawn</th>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5P</th>\n",
" <th>Central Toronto</th>\n",
" <th>Forest Hill North, Forest Hill West</th>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5R</th>\n",
" <th>Central Toronto</th>\n",
" <th>The Annex, North Midtown, Yorkville</th>\n",
" <td>22</td>\n",
" <td>22</td>\n",
" <td>22</td>\n",
" <td>22</td>\n",
" <td>22</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5S</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Harbord, University of Toronto</th>\n",
" <td>37</td>\n",
" <td>37</td>\n",
" <td>37</td>\n",
" <td>37</td>\n",
" <td>37</td>\n",
" <td>37</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5T</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Chinatown, Grange Park, Kensington Market</th>\n",
" <td>87</td>\n",
" <td>87</td>\n",
" <td>87</td>\n",
" <td>87</td>\n",
" <td>87</td>\n",
" <td>87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5V</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara</th>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5W</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Stn A PO Boxes 25 The Esplanade</th>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" <td>95</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M5X</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>First Canadian Place, Underground city</th>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" <td>100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M6G</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Christie</th>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" <td>19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M6H</th>\n",
" <th>West Toronto</th>\n",
" <th>Dovercourt Village, Dufferin</th>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M6J</th>\n",
" <th>West Toronto</th>\n",
" <th>Little Portugal, Trinity</th>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" <td>53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M6K</th>\n",
" <th>West Toronto</th>\n",
" <th>Brockton, Exhibition Place, Parkdale Village</th>\n",
" <td>23</td>\n",
" <td>23</td>\n",
" <td>23</td>\n",
" <td>23</td>\n",
" <td>23</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M6P</th>\n",
" <th>West Toronto</th>\n",
" <th>High Park, The Junction South</th>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M6R</th>\n",
" <th>West Toronto</th>\n",
" <th>Parkdale, Roncesvalles</th>\n",
" <td>14</td>\n",
" <td>14</td>\n",
" <td>14</td>\n",
" <td>14</td>\n",
" <td>14</td>\n",
" <td>14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M6S</th>\n",
" <th>West Toronto</th>\n",
" <th>Runnymede, Swansea</th>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" <td>40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M7A</th>\n",
" <th>Downtown Toronto</th>\n",
" <th>Queen's Park</th>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" <td>39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>M7Y</th>\n",
" <th>East Toronto</th>\n",
" <th>Business Reply Mail Processing Centre 969 Eastern</th>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" <td>16</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" BoroughLatitude \\\n",
"PostalCode Borough Neighborhood \n",
"M4E East Toronto The Beaches 5 \n",
"M4K East Toronto The Danforth West, Riverdale 42 \n",
"M4L East Toronto The Beaches West, India Bazaar 18 \n",
"M4M East Toronto Studio District 42 \n",
"M4N Central Toronto Lawrence Park 3 \n",
"M4P Central Toronto Davisville North 8 \n",
"M4R Central Toronto North Toronto West 21 \n",
"M4S Central Toronto Davisville 32 \n",
"M4T Central Toronto Moore Park, Summerhill East 1 \n",
"M4V Central Toronto Deer Park, Forest Hill SE, Rathnelly, South Hil... 15 \n",
"M4W Downtown Toronto Rosedale 4 \n",
"M4X Downtown Toronto Cabbagetown, St. James Town 47 \n",
"M4Y Downtown Toronto Church and Wellesley 82 \n",
"M5A Downtown Toronto Harbourfront 47 \n",
"M5B Downtown Toronto Ryerson, Garden District 100 \n",
"M5C Downtown Toronto St. James Town 100 \n",
"M5E Downtown Toronto Berczy Park 56 \n",
"M5G Downtown Toronto Central Bay Street 83 \n",
"M5H Downtown Toronto Adelaide, King, Richmond 100 \n",
"M5J Downtown Toronto Harbourfront East, Toronto Islands, Union Station 100 \n",
"M5K Downtown Toronto Design Exchange, Toronto Dominion Centre 100 \n",
"M5L Downtown Toronto Commerce Court, Victoria Hotel 100 \n",
"M5N Central Toronto Roselawn 3 \n",
"M5P Central Toronto Forest Hill North, Forest Hill West 4 \n",
"M5R Central Toronto The Annex, North Midtown, Yorkville 22 \n",
"M5S Downtown Toronto Harbord, University of Toronto 37 \n",
"M5T Downtown Toronto Chinatown, Grange Park, Kensington Market 87 \n",
"M5V Downtown Toronto CN Tower, Bathurst Quay, Island airport, Harbou... 16 \n",
"M5W Downtown Toronto Stn A PO Boxes 25 The Esplanade 95 \n",
"M5X Downtown Toronto First Canadian Place, Underground city 100 \n",
"M6G Downtown Toronto Christie 19 \n",
"M6H West Toronto Dovercourt Village, Dufferin 16 \n",
"M6J West Toronto Little Portugal, Trinity 53 \n",
"M6K West Toronto Brockton, Exhibition Place, Parkdale Village 23 \n",
"M6P West Toronto High Park, The Junction South 24 \n",
"M6R West Toronto Parkdale, Roncesvalles 14 \n",
"M6S West Toronto Runnymede, Swansea 40 \n",
"M7A Downtown Toronto Queen's Park 39 \n",
"M7Y East Toronto Business Reply Mail Processing Centre 969 Eastern 16 \n",
"\n",
" BoroughLongitude \\\n",
"PostalCode Borough Neighborhood \n",
"M4E East Toronto The Beaches 5 \n",
"M4K East Toronto The Danforth West, Riverdale 42 \n",
"M4L East Toronto The Beaches West, India Bazaar 18 \n",
"M4M East Toronto Studio District 42 \n",
"M4N Central Toronto Lawrence Park 3 \n",
"M4P Central Toronto Davisville North 8 \n",
"M4R Central Toronto North Toronto West 21 \n",
"M4S Central Toronto Davisville 32 \n",
"M4T Central Toronto Moore Park, Summerhill East 1 \n",
"M4V Central Toronto Deer Park, Forest Hill SE, Rathnelly, South Hil... 15 \n",
"M4W Downtown Toronto Rosedale 4 \n",
"M4X Downtown Toronto Cabbagetown, St. James Town 47 \n",
"M4Y Downtown Toronto Church and Wellesley 82 \n",
"M5A Downtown Toronto Harbourfront 47 \n",
"M5B Downtown Toronto Ryerson, Garden District 100 \n",
"M5C Downtown Toronto St. James Town 100 \n",
"M5E Downtown Toronto Berczy Park 56 \n",
"M5G Downtown Toronto Central Bay Street 83 \n",
"M5H Downtown Toronto Adelaide, King, Richmond 100 \n",
"M5J Downtown Toronto Harbourfront East, Toronto Islands, Union Station 100 \n",
"M5K Downtown Toronto Design Exchange, Toronto Dominion Centre 100 \n",
"M5L Downtown Toronto Commerce Court, Victoria Hotel 100 \n",
"M5N Central Toronto Roselawn 3 \n",
"M5P Central Toronto Forest Hill North, Forest Hill West 4 \n",
"M5R Central Toronto The Annex, North Midtown, Yorkville 22 \n",
"M5S Downtown Toronto Harbord, University of Toronto 37 \n",
"M5T Downtown Toronto Chinatown, Grange Park, Kensington Market 87 \n",
"M5V Downtown Toronto CN Tower, Bathurst Quay, Island airport, Harbou... 16 \n",
"M5W Downtown Toronto Stn A PO Boxes 25 The Esplanade 95 \n",
"M5X Downtown Toronto First Canadian Place, Underground city 100 \n",
"M6G Downtown Toronto Christie 19 \n",
"M6H West Toronto Dovercourt Village, Dufferin 16 \n",
"M6J West Toronto Little Portugal, Trinity 53 \n",
"M6K West Toronto Brockton, Exhibition Place, Parkdale Village 23 \n",
"M6P West Toronto High Park, The Junction South 24 \n",
"M6R West Toronto Parkdale, Roncesvalles 14 \n",
"M6S West Toronto Runnymede, Swansea 40 \n",
"M7A Downtown Toronto Queen's Park 39 \n",
"M7Y East Toronto Business Reply Mail Processing Centre 969 Eastern 16 \n",
"\n",
" VenueName \\\n",
"PostalCode Borough Neighborhood \n",
"M4E East Toronto The Beaches 5 \n",
"M4K East Toronto The Danforth West, Riverdale 42 \n",
"M4L East Toronto The Beaches West, India Bazaar 18 \n",
"M4M East Toronto Studio District 42 \n",
"M4N Central Toronto Lawrence Park 3 \n",
"M4P Central Toronto Davisville North 8 \n",
"M4R Central Toronto North Toronto West 21 \n",
"M4S Central Toronto Davisville 32 \n",
"M4T Central Toronto Moore Park, Summerhill East 1 \n",
"M4V Central Toronto Deer Park, Forest Hill SE, Rathnelly, South Hil... 15 \n",
"M4W Downtown Toronto Rosedale 4 \n",
"M4X Downtown Toronto Cabbagetown, St. James Town 47 \n",
"M4Y Downtown Toronto Church and Wellesley 82 \n",
"M5A Downtown Toronto Harbourfront 47 \n",
"M5B Downtown Toronto Ryerson, Garden District 100 \n",
"M5C Downtown Toronto St. James Town 100 \n",
"M5E Downtown Toronto Berczy Park 56 \n",
"M5G Downtown Toronto Central Bay Street 83 \n",
"M5H Downtown Toronto Adelaide, King, Richmond 100 \n",
"M5J Downtown Toronto Harbourfront East, Toronto Islands, Union Station 100 \n",
"M5K Downtown Toronto Design Exchange, Toronto Dominion Centre 100 \n",
"M5L Downtown Toronto Commerce Court, Victoria Hotel 100 \n",
"M5N Central Toronto Roselawn 3 \n",
"M5P Central Toronto Forest Hill North, Forest Hill West 4 \n",
"M5R Central Toronto The Annex, North Midtown, Yorkville 22 \n",
"M5S Downtown Toronto Harbord, University of Toronto 37 \n",
"M5T Downtown Toronto Chinatown, Grange Park, Kensington Market 87 \n",
"M5V Downtown Toronto CN Tower, Bathurst Quay, Island airport, Harbou... 16 \n",
"M5W Downtown Toronto Stn A PO Boxes 25 The Esplanade 95 \n",
"M5X Downtown Toronto First Canadian Place, Underground city 100 \n",
"M6G Downtown Toronto Christie 19 \n",
"M6H West Toronto Dovercourt Village, Dufferin 16 \n",
"M6J West Toronto Little Portugal, Trinity 53 \n",
"M6K West Toronto Brockton, Exhibition Place, Parkdale Village 23 \n",
"M6P West Toronto High Park, The Junction South 24 \n",
"M6R West Toronto Parkdale, Roncesvalles 14 \n",
"M6S West Toronto Runnymede, Swansea 40 \n",
"M7A Downtown Toronto Queen's Park 39 \n",
"M7Y East Toronto Business Reply Mail Processing Centre 969 Eastern 16 \n",
"\n",
" VenueLatitude \\\n",
"PostalCode Borough Neighborhood \n",
"M4E East Toronto The Beaches 5 \n",
"M4K East Toronto The Danforth West, Riverdale 42 \n",
"M4L East Toronto The Beaches West, India Bazaar 18 \n",
"M4M East Toronto Studio District 42 \n",
"M4N Central Toronto Lawrence Park 3 \n",
"M4P Central Toronto Davisville North 8 \n",
"M4R Central Toronto North Toronto West 21 \n",
"M4S Central Toronto Davisville 32 \n",
"M4T Central Toronto Moore Park, Summerhill East 1 \n",
"M4V Central Toronto Deer Park, Forest Hill SE, Rathnelly, South Hil... 15 \n",
"M4W Downtown Toronto Rosedale 4 \n",
"M4X Downtown Toronto Cabbagetown, St. James Town 47 \n",
"M4Y Downtown Toronto Church and Wellesley 82 \n",
"M5A Downtown Toronto Harbourfront 47 \n",
"M5B Downtown Toronto Ryerson, Garden District 100 \n",
"M5C Downtown Toronto St. James Town 100 \n",
"M5E Downtown Toronto Berczy Park 56 \n",
"M5G Downtown Toronto Central Bay Street 83 \n",
"M5H Downtown Toronto Adelaide, King, Richmond 100 \n",
"M5J Downtown Toronto Harbourfront East, Toronto Islands, Union Station 100 \n",
"M5K Downtown Toronto Design Exchange, Toronto Dominion Centre 100 \n",
"M5L Downtown Toronto Commerce Court, Victoria Hotel 100 \n",
"M5N Central Toronto Roselawn 3 \n",
"M5P Central Toronto Forest Hill North, Forest Hill West 4 \n",
"M5R Central Toronto The Annex, North Midtown, Yorkville 22 \n",
"M5S Downtown Toronto Harbord, University of Toronto 37 \n",
"M5T Downtown Toronto Chinatown, Grange Park, Kensington Market 87 \n",
"M5V Downtown Toronto CN Tower, Bathurst Quay, Island airport, Harbou... 16 \n",
"M5W Downtown Toronto Stn A PO Boxes 25 The Esplanade 95 \n",
"M5X Downtown Toronto First Canadian Place, Underground city 100 \n",
"M6G Downtown Toronto Christie 19 \n",
"M6H West Toronto Dovercourt Village, Dufferin 16 \n",
"M6J West Toronto Little Portugal, Trinity 53 \n",
"M6K West Toronto Brockton, Exhibition Place, Parkdale Village 23 \n",
"M6P West Toronto High Park, The Junction South 24 \n",
"M6R West Toronto Parkdale, Roncesvalles 14 \n",
"M6S West Toronto Runnymede, Swansea 40 \n",
"M7A Downtown Toronto Queen's Park 39 \n",
"M7Y East Toronto Business Reply Mail Processing Centre 969 Eastern 16 \n",
"\n",
" VenueLongitude \\\n",
"PostalCode Borough Neighborhood \n",
"M4E East Toronto The Beaches 5 \n",
"M4K East Toronto The Danforth West, Riverdale 42 \n",
"M4L East Toronto The Beaches West, India Bazaar 18 \n",
"M4M East Toronto Studio District 42 \n",
"M4N Central Toronto Lawrence Park 3 \n",
"M4P Central Toronto Davisville North 8 \n",
"M4R Central Toronto North Toronto West 21 \n",
"M4S Central Toronto Davisville 32 \n",
"M4T Central Toronto Moore Park, Summerhill East 1 \n",
"M4V Central Toronto Deer Park, Forest Hill SE, Rathnelly, South Hil... 15 \n",
"M4W Downtown Toronto Rosedale 4 \n",
"M4X Downtown Toronto Cabbagetown, St. James Town 47 \n",
"M4Y Downtown Toronto Church and Wellesley 82 \n",
"M5A Downtown Toronto Harbourfront 47 \n",
"M5B Downtown Toronto Ryerson, Garden District 100 \n",
"M5C Downtown Toronto St. James Town 100 \n",
"M5E Downtown Toronto Berczy Park 56 \n",
"M5G Downtown Toronto Central Bay Street 83 \n",
"M5H Downtown Toronto Adelaide, King, Richmond 100 \n",
"M5J Downtown Toronto Harbourfront East, Toronto Islands, Union Station 100 \n",
"M5K Downtown Toronto Design Exchange, Toronto Dominion Centre 100 \n",
"M5L Downtown Toronto Commerce Court, Victoria Hotel 100 \n",
"M5N Central Toronto Roselawn 3 \n",
"M5P Central Toronto Forest Hill North, Forest Hill West 4 \n",
"M5R Central Toronto The Annex, North Midtown, Yorkville 22 \n",
"M5S Downtown Toronto Harbord, University of Toronto 37 \n",
"M5T Downtown Toronto Chinatown, Grange Park, Kensington Market 87 \n",
"M5V Downtown Toronto CN Tower, Bathurst Quay, Island airport, Harbou... 16 \n",
"M5W Downtown Toronto Stn A PO Boxes 25 The Esplanade 95 \n",
"M5X Downtown Toronto First Canadian Place, Underground city 100 \n",
"M6G Downtown Toronto Christie 19 \n",
"M6H West Toronto Dovercourt Village, Dufferin 16 \n",
"M6J West Toronto Little Portugal, Trinity 53 \n",
"M6K West Toronto Brockton, Exhibition Place, Parkdale Village 23 \n",
"M6P West Toronto High Park, The Junction South 24 \n",
"M6R West Toronto Parkdale, Roncesvalles 14 \n",
"M6S West Toronto Runnymede, Swansea 40 \n",
"M7A Downtown Toronto Queen's Park 39 \n",
"M7Y East Toronto Business Reply Mail Processing Centre 969 Eastern 16 \n",
"\n",
" VenueCategory \n",
"PostalCode Borough Neighborhood \n",
"M4E East Toronto The Beaches 5 \n",
"M4K East Toronto The Danforth West, Riverdale 42 \n",
"M4L East Toronto The Beaches West, India Bazaar 18 \n",
"M4M East Toronto Studio District 42 \n",
"M4N Central Toronto Lawrence Park 3 \n",
"M4P Central Toronto Davisville North 8 \n",
"M4R Central Toronto North Toronto West 21 \n",
"M4S Central Toronto Davisville 32 \n",
"M4T Central Toronto Moore Park, Summerhill East 1 \n",
"M4V Central Toronto Deer Park, Forest Hill SE, Rathnelly, South Hil... 15 \n",
"M4W Downtown Toronto Rosedale 4 \n",
"M4X Downtown Toronto Cabbagetown, St. James Town 47 \n",
"M4Y Downtown Toronto Church and Wellesley 82 \n",
"M5A Downtown Toronto Harbourfront 47 \n",
"M5B Downtown Toronto Ryerson, Garden District 100 \n",
"M5C Downtown Toronto St. James Town 100 \n",
"M5E Downtown Toronto Berczy Park 56 \n",
"M5G Downtown Toronto Central Bay Street 83 \n",
"M5H Downtown Toronto Adelaide, King, Richmond 100 \n",
"M5J Downtown Toronto Harbourfront East, Toronto Islands, Union Station 100 \n",
"M5K Downtown Toronto Design Exchange, Toronto Dominion Centre 100 \n",
"M5L Downtown Toronto Commerce Court, Victoria Hotel 100 \n",
"M5N Central Toronto Roselawn 3 \n",
"M5P Central Toronto Forest Hill North, Forest Hill West 4 \n",
"M5R Central Toronto The Annex, North Midtown, Yorkville 22 \n",
"M5S Downtown Toronto Harbord, University of Toronto 37 \n",
"M5T Downtown Toronto Chinatown, Grange Park, Kensington Market 87 \n",
"M5V Downtown Toronto CN Tower, Bathurst Quay, Island airport, Harbou... 16 \n",
"M5W Downtown Toronto Stn A PO Boxes 25 The Esplanade 95 \n",
"M5X Downtown Toronto First Canadian Place, Underground city 100 \n",
"M6G Downtown Toronto Christie 19 \n",
"M6H West Toronto Dovercourt Village, Dufferin 16 \n",
"M6J West Toronto Little Portugal, Trinity 53 \n",
"M6K West Toronto Brockton, Exhibition Place, Parkdale Village 23 \n",
"M6P West Toronto High Park, The Junction South 24 \n",
"M6R West Toronto Parkdale, Roncesvalles 14 \n",
"M6S West Toronto Runnymede, Swansea 40 \n",
"M7A Downtown Toronto Queen's Park 39 \n",
"M7Y East Toronto Business Reply Mail Processing Centre 969 Eastern 16 "
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"venues_df.groupby([\"PostalCode\", \"Borough\", \"Neighborhood\"]).count()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Let's find out how many unique categories can be curated from all the returned venues**"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"There are 230 uniques categories.\n"
]
}
],
"source": [
"print('There are {} uniques categories.'.format(len(venues_df['VenueCategory'].unique())))"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['Trail', 'Health Food Store', 'Pub', 'Neighborhood',\n",
" 'Asian Restaurant', 'Greek Restaurant', 'Cosmetics Shop',\n",
" 'Italian Restaurant', 'Ice Cream Shop', 'Brewery', 'Yoga Studio',\n",
" 'Fruit & Vegetable Store', 'Dessert Shop', 'Pizza Place',\n",
" 'Bookstore', 'Restaurant', 'Juice Bar', 'Bubble Tea Shop', 'Diner',\n",
" 'Spa', 'Furniture / Home Store', 'Grocery Store', 'Coffee Shop',\n",
" 'Bakery', 'Caribbean Restaurant', 'Frozen Yogurt Shop',\n",
" 'American Restaurant', 'Liquor Store', 'Gym', 'Burger Joint',\n",
" 'Fish & Chips Shop', 'Park', 'Sushi Restaurant', 'Burrito Place',\n",
" 'Pet Store', 'Steakhouse', 'Fast Food Restaurant', 'Movie Theater',\n",
" 'Sandwich Place', 'Light Rail Station', 'Fish Market', 'Café',\n",
" 'Cheese Shop', 'Gay Bar', 'Seafood Restaurant',\n",
" 'Middle Eastern Restaurant', 'Comfort Food Restaurant',\n",
" 'Thai Restaurant', 'Stationery Store', 'Wine Bar'], dtype=object)"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"venues_df['VenueCategory'].unique()[:50]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 15. Analyze Each Area"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(1714, 233)\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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhoods</th>\n",
" <th>Afghan Restaurant</th>\n",
" <th>Airport</th>\n",
" <th>Airport Food Court</th>\n",
" <th>Airport Gate</th>\n",
" <th>Airport Lounge</th>\n",
" <th>Airport Service</th>\n",
" <th>Airport Terminal</th>\n",
" <th>American Restaurant</th>\n",
" <th>Antique Shop</th>\n",
" <th>Aquarium</th>\n",
" <th>Art Gallery</th>\n",
" <th>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 Gym</th>\n",
" <th>College Rec Center</th>\n",
" <th>Colombian Restaurant</th>\n",
" <th>Comfort Food Restaurant</th>\n",
" <th>Comic Shop</th>\n",
" <th>Concert Hall</th>\n",
" <th>Convenience Store</th>\n",
" <th>Cosmetics Shop</th>\n",
" <th>Coworking Space</th>\n",
" <th>Creperie</th>\n",
" <th>Cuban Restaurant</th>\n",
" <th>Cupcake Shop</th>\n",
" <th>Dance Studio</th>\n",
" <th>Deli / Bodega</th>\n",
" <th>Department Store</th>\n",
" <th>Dessert Shop</th>\n",
" <th>Dim Sum Restaurant</th>\n",
" <th>Diner</th>\n",
" <th>Discount Store</th>\n",
" <th>Dog Run</th>\n",
" <th>Doner Restaurant</th>\n",
" <th>Donut Shop</th>\n",
" <th>Dumpling Restaurant</th>\n",
" <th>Eastern European Restaurant</th>\n",
" <th>Electronics Store</th>\n",
" <th>Ethiopian Restaurant</th>\n",
" <th>Event Space</th>\n",
" <th>Falafel Restaurant</th>\n",
" <th>Farmers Market</th>\n",
" <th>Fast Food Restaurant</th>\n",
" <th>Filipino Restaurant</th>\n",
" <th>Fish &amp; Chips Shop</th>\n",
" <th>Fish Market</th>\n",
" <th>Flea Market</th>\n",
" <th>Flower Shop</th>\n",
" <th>Food</th>\n",
" <th>Food &amp; Drink Shop</th>\n",
" <th>Food Court</th>\n",
" <th>Food Truck</th>\n",
" <th>Fountain</th>\n",
" <th>French Restaurant</th>\n",
" <th>Fried Chicken Joint</th>\n",
" <th>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>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>Market</th>\n",
" <th>Mediterranean Restaurant</th>\n",
" <th>Men's Store</th>\n",
" <th>Metro Station</th>\n",
" <th>Mexican Restaurant</th>\n",
" <th>Middle Eastern Restaurant</th>\n",
" <th>Miscellaneous Shop</th>\n",
" <th>Modern European Restaurant</th>\n",
" <th>Molecular Gastronomy Restaurant</th>\n",
" <th>Monument / Landmark</th>\n",
" <th>Movie Theater</th>\n",
" <th>Museum</th>\n",
" <th>Music Store</th>\n",
" <th>Music Venue</th>\n",
" <th>Neighborhood</th>\n",
" <th>New American Restaurant</th>\n",
" <th>Nightclub</th>\n",
" <th>Noodle House</th>\n",
" <th>Office</th>\n",
" <th>Opera House</th>\n",
" <th>Optical Shop</th>\n",
" <th>Organic Grocery</th>\n",
" <th>Other Great Outdoors</th>\n",
" <th>Park</th>\n",
" <th>Performing Arts Venue</th>\n",
" <th>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>Post Office</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>Snack Place</th>\n",
" <th>Southern / Soul Food Restaurant</th>\n",
" <th>Spa</th>\n",
" <th>Speakeasy</th>\n",
" <th>Sporting Goods Shop</th>\n",
" <th>Sports Bar</th>\n",
" <th>Stadium</th>\n",
" <th>Stationery Store</th>\n",
" <th>Steakhouse</th>\n",
" <th>Strip Club</th>\n",
" <th>Supermarket</th>\n",
" <th>Sushi Restaurant</th>\n",
" <th>Swim School</th>\n",
" <th>Tailor Shop</th>\n",
" <th>Taiwanese Restaurant</th>\n",
" <th>Tanning Salon</th>\n",
" <th>Tea Room</th>\n",
" <th>Tennis Court</th>\n",
" <th>Thai Restaurant</th>\n",
" <th>Theater</th>\n",
" <th>Theme Restaurant</th>\n",
" <th>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>Women's Store</th>\n",
" <th>Yoga Studio</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>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>M4E</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough Neighborhoods Afghan Restaurant Airport \\\n",
"0 M4E East Toronto The Beaches 0 0 \n",
"1 M4E East Toronto The Beaches 0 0 \n",
"2 M4E East Toronto The Beaches 0 0 \n",
"3 M4E East Toronto The Beaches 0 0 \n",
"4 M4E East Toronto The Beaches 0 0 \n",
"\n",
" Airport Food Court Airport Gate Airport Lounge Airport Service \\\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",
" Airport Terminal American Restaurant Antique Shop Aquarium Art Gallery \\\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",
" Arts & Crafts Store Asian Restaurant Athletics & Sports Auto Workshop \\\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 1 0 0 \n",
"\n",
" BBQ Joint Baby Store Bagel Shop Bakery Bank Bar Baseball Stadium \\\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",
" Basketball Stadium Beach Bed & Breakfast Beer Bar Beer Store \\\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",
" Belgian Restaurant Bistro Boat or Ferry Bookstore Boutique \\\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",
" Brazilian Restaurant Breakfast Spot Brewery Bubble Tea Shop Building \\\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",
" Burger Joint Burrito Place Bus Line Butcher Café \\\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",
" Cajun / Creole Restaurant Camera Store Candy Store Caribbean Restaurant \\\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",
" Cheese Shop Chinese Restaurant Chocolate Shop Church Climbing Gym \\\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",
" Clothing Store Cocktail Bar Coffee Shop College Arts Building \\\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",
" College Auditorium College Gym College Rec Center Colombian Restaurant \\\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",
" Comfort Food Restaurant Comic Shop Concert Hall Convenience 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",
" Cosmetics Shop Coworking Space Creperie Cuban Restaurant Cupcake 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",
" Dance Studio Deli / Bodega Department Store Dessert 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",
" Dim Sum Restaurant Diner Discount Store Dog Run Doner 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",
" Donut Shop Dumpling Restaurant Eastern European 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",
" Electronics Store Ethiopian Restaurant Event Space Falafel Restaurant \\\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",
" Farmers Market Fast Food Restaurant Filipino 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",
" Fish & Chips Shop Fish Market Flea Market Flower Shop Food \\\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",
" Food & Drink Shop Food Court Food Truck Fountain French 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",
" Fried Chicken Joint Frozen Yogurt Shop Fruit & Vegetable Store \\\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",
" Furniture / Home Store Gaming Cafe Garden Garden Center Gas Station \\\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",
" Gastropub Gay Bar General Entertainment General Travel \\\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",
" German Restaurant Gift Shop Gluten-free Restaurant Gourmet 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",
" Greek Restaurant Grocery Store Gym Gym / Fitness Center \\\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",
" Harbor / Marina Health & Beauty Service Health Food Store Historic Site \\\n",
"0 0 0 0 0 \n",
"1 0 0 1 0 \n",
"2 0 0 0 0 \n",
"3 0 0 0 0 \n",
"4 0 0 0 0 \n",
"\n",
" History Museum Hobby Shop Home Service Hookah Bar Hospital Hostel \\\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",
" Hotel Hotel Bar IT Services Ice Cream Shop Indian 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",
" Indie Movie Theater Intersection Italian Restaurant Japanese Restaurant \\\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",
" Jazz Club Jewelry Store Juice Bar Korean Restaurant Lake \\\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",
" Latin American Restaurant Light Rail Station Lingerie Store \\\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",
" Liquor Store Lounge Market Mediterranean Restaurant Men's Store \\\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",
" Metro Station Mexican Restaurant Middle Eastern 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",
" Miscellaneous Shop Modern European Restaurant \\\n",
"0 0 0 \n",
"1 0 0 \n",
"2 0 0 \n",
"3 0 0 \n",
"4 0 0 \n",
"\n",
" Molecular Gastronomy Restaurant Monument / Landmark Movie Theater \\\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",
" Museum Music Store Music Venue Neighborhood New American 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 1 0 \n",
"4 0 0 0 0 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 Post Office Poutine Place Pub Ramen Restaurant \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 1 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" Record Shop Recording Studio Rental Car Location Restaurant Roof Deck \\\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",
" Sake Bar Salad Place Salon / Barbershop Sandwich Place Scenic Lookout \\\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",
" 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 Snack Place \\\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",
" Southern / Soul Food Restaurant Spa Speakeasy Sporting Goods 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",
" Sports Bar Stadium Stationery Store Steakhouse Strip Club Supermarket \\\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",
" Sushi Restaurant Swim School Tailor Shop Taiwanese Restaurant \\\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",
" Tanning Salon Tea Room Tennis Court 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 Women's Store Yoga Studio \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 "
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# one hot encoding\n",
"toronto_onehot = pd.get_dummies(venues_df[['VenueCategory']], prefix=\"\", prefix_sep=\"\")\n",
"\n",
"# add postal, borough and neighborhood column back to dataframe\n",
"toronto_onehot['PostalCode'] = venues_df['PostalCode'] \n",
"toronto_onehot['Borough'] = venues_df['Borough'] \n",
"toronto_onehot['Neighborhoods'] = venues_df['Neighborhood'] \n",
"\n",
"# move postal, borough and neighborhood column to the first column\n",
"fixed_columns = list(toronto_onehot.columns[-3:]) + list(toronto_onehot.columns[:-3])\n",
"toronto_onehot = toronto_onehot[fixed_columns]\n",
"\n",
"print(toronto_onehot.shape)\n",
"toronto_onehot.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Next, let's group rows by neighborhood and by taking the mean of the frequency of occurrence of each category**"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(39, 233)\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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhoods</th>\n",
" <th>Afghan Restaurant</th>\n",
" <th>Airport</th>\n",
" <th>Airport Food Court</th>\n",
" <th>Airport Gate</th>\n",
" <th>Airport Lounge</th>\n",
" <th>Airport Service</th>\n",
" <th>Airport Terminal</th>\n",
" <th>American Restaurant</th>\n",
" <th>Antique Shop</th>\n",
" <th>Aquarium</th>\n",
" <th>Art Gallery</th>\n",
" <th>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 Gym</th>\n",
" <th>College Rec Center</th>\n",
" <th>Colombian Restaurant</th>\n",
" <th>Comfort Food Restaurant</th>\n",
" <th>Comic Shop</th>\n",
" <th>Concert Hall</th>\n",
" <th>Convenience Store</th>\n",
" <th>Cosmetics Shop</th>\n",
" <th>Coworking Space</th>\n",
" <th>Creperie</th>\n",
" <th>Cuban Restaurant</th>\n",
" <th>Cupcake Shop</th>\n",
" <th>Dance Studio</th>\n",
" <th>Deli / Bodega</th>\n",
" <th>Department Store</th>\n",
" <th>Dessert Shop</th>\n",
" <th>Dim Sum Restaurant</th>\n",
" <th>Diner</th>\n",
" <th>Discount Store</th>\n",
" <th>Dog Run</th>\n",
" <th>Doner Restaurant</th>\n",
" <th>Donut Shop</th>\n",
" <th>Dumpling Restaurant</th>\n",
" <th>Eastern European Restaurant</th>\n",
" <th>Electronics Store</th>\n",
" <th>Ethiopian Restaurant</th>\n",
" <th>Event Space</th>\n",
" <th>Falafel Restaurant</th>\n",
" <th>Farmers Market</th>\n",
" <th>Fast Food Restaurant</th>\n",
" <th>Filipino Restaurant</th>\n",
" <th>Fish &amp; Chips Shop</th>\n",
" <th>Fish Market</th>\n",
" <th>Flea Market</th>\n",
" <th>Flower Shop</th>\n",
" <th>Food</th>\n",
" <th>Food &amp; Drink Shop</th>\n",
" <th>Food Court</th>\n",
" <th>Food Truck</th>\n",
" <th>Fountain</th>\n",
" <th>French Restaurant</th>\n",
" <th>Fried Chicken Joint</th>\n",
" <th>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>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>Market</th>\n",
" <th>Mediterranean Restaurant</th>\n",
" <th>Men's Store</th>\n",
" <th>Metro Station</th>\n",
" <th>Mexican Restaurant</th>\n",
" <th>Middle Eastern Restaurant</th>\n",
" <th>Miscellaneous Shop</th>\n",
" <th>Modern European Restaurant</th>\n",
" <th>Molecular Gastronomy Restaurant</th>\n",
" <th>Monument / Landmark</th>\n",
" <th>Movie Theater</th>\n",
" <th>Museum</th>\n",
" <th>Music Store</th>\n",
" <th>Music Venue</th>\n",
" <th>Neighborhood</th>\n",
" <th>New American Restaurant</th>\n",
" <th>Nightclub</th>\n",
" <th>Noodle House</th>\n",
" <th>Office</th>\n",
" <th>Opera House</th>\n",
" <th>Optical Shop</th>\n",
" <th>Organic Grocery</th>\n",
" <th>Other Great Outdoors</th>\n",
" <th>Park</th>\n",
" <th>Performing Arts Venue</th>\n",
" <th>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>Post Office</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>Snack Place</th>\n",
" <th>Southern / Soul Food Restaurant</th>\n",
" <th>Spa</th>\n",
" <th>Speakeasy</th>\n",
" <th>Sporting Goods Shop</th>\n",
" <th>Sports Bar</th>\n",
" <th>Stadium</th>\n",
" <th>Stationery Store</th>\n",
" <th>Steakhouse</th>\n",
" <th>Strip Club</th>\n",
" <th>Supermarket</th>\n",
" <th>Sushi Restaurant</th>\n",
" <th>Swim School</th>\n",
" <th>Tailor Shop</th>\n",
" <th>Taiwanese Restaurant</th>\n",
" <th>Tanning Salon</th>\n",
" <th>Tea Room</th>\n",
" <th>Tennis Court</th>\n",
" <th>Thai Restaurant</th>\n",
" <th>Theater</th>\n",
" <th>Theme Restaurant</th>\n",
" <th>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>Women's Store</th>\n",
" <th>Yoga Studio</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>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.200000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.200000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.20000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.200000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.20000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</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>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.023810</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.095238</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.02381</td>\n",
" <td>0.02381</td>\n",
" <td>0.047619</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.214286</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</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>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.023810</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.02381</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.023810</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4L</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches West, India Bazaar</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.055556</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</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>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.055556</td>\n",
" <td>0.00</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.055556</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</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>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.047619</td>\n",
" <td>0.023810</td>\n",
" <td>0.023810</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.095238</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.02381</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</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>0.00000</td>\n",
" <td>0.00000</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>0.02381</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</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>0.02381</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.02381</td>\n",
" <td>0.000000</td>\n",
" <td>0.02381</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.02381</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.023810</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.023810</td>\n",
" <td>0.00</td>\n",
" <td>0.023810</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>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.333333</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.333333</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.333333</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>M4P</td>\n",
" <td>Central Toronto</td>\n",
" <td>Davisville North</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.125000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</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>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.125000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>M4R</td>\n",
" <td>Central Toronto</td>\n",
" <td>North Toronto West</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.0000</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>0.000000</td>\n",
" <td>0.00</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>0.00</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>0.190476</td>\n",
" <td>0.000000</td>\n",
" <td>0.095238</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.000</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>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.047619</td>\n",
" <td>0.047619</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.047619</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.047619</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>M4S</td>\n",
" <td>Central Toronto</td>\n",
" <td>Davisville</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.093750</td>\n",
" <td>0.000000</td>\n",
" <td>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.031250</td>\n",
" <td>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.031250</td>\n",
" <td>0.000</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>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031250</td>\n",
" <td>0.093750</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031250</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.093750</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0</td>\n",
" <td>0.031250</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.03125</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>M4T</td>\n",
" <td>Central Toronto</td>\n",
" <td>Moore Park, Summerhill East</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>1.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>M4V</td>\n",
" <td>Central Toronto</td>\n",
" <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.066667</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.133333</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.066667</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.066667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.066667</td>\n",
" <td>0.00</td>\n",
" <td>0.066667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.066667</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.133333</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.066667</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.066667</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.066667</td>\n",
" <td>0.066667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.066667</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>M4W</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Rosedale</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.500000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.250000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.25000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>M4X</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Cabbagetown, St. James Town</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.042553</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</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>0.00</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.042553</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</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>0.106383</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</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>0.021277</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>0.000</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>0.00000</td>\n",
" <td>0.00000</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>0.021277</td>\n",
" <td>0.00000</td>\n",
" <td>0.021277</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.021277</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.042553</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.042553</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.042553</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.021277</td>\n",
" <td>0.042553</td>\n",
" <td>0.0000</td>\n",
" <td>0.021277</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.042553</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>M4Y</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Church and Wellesley</td>\n",
" <td>0.012195</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.00</td>\n",
" <td>0.024390</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024390</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.073171</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>0.00000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024390</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.012195</td>\n",
" <td>0.024390</td>\n",
" <td>0.04878</td>\n",
" <td>0.012195</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.024390</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024390</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012195</td>\n",
" <td>0.012195</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.048780</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.02439</td>\n",
" <td>0.024390</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</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>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024390</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.036585</td>\n",
" <td>0.00</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012195</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.012195</td>\n",
" <td>0.012195</td>\n",
" <td>0.000000</td>\n",
" <td>0.048780</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.012195</td>\n",
" <td>0.012195</td>\n",
" <td>0.012195</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012195</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>M5A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbourfront</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.00</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.063830</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.042553</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.063830</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.170213</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>0.021277</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.021277</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>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.042553</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.063830</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.063830</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.021277</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.021277</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>M5B</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Ryerson, Garden District</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</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",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.000000</td>\n",
" <td>0.090000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</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>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</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>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.02</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</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>0.00000</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>0.020000</td>\n",
" <td>0.0</td>\n",
" <td>0.010000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01000</td>\n",
" <td>0.00000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>M5C</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>St. James Town</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.060000</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>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.030000</td>\n",
" <td>0.080000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</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>0.00</td>\n",
" <td>0.01000</td>\n",
" <td>0.000000</td>\n",
" <td>0.02</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>M5E</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Berczy Park</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.035714</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.035714</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.035714</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.035714</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.053571</td>\n",
" <td>0.089286</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>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.035714</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.017857</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.035714</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.035714</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.0</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.017857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>M5G</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Central Bay Street</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.024096</td>\n",
" <td>0.000000</td>\n",
" <td>0.024096</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.00</td>\n",
" <td>0.036145</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.048193</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024096</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.156627</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>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024096</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.012048</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.012048</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.048193</td>\n",
" <td>0.012048</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.048193</td>\n",
" <td>0.036145</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.036145</td>\n",
" <td>0.012048</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012048</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>0.00</td>\n",
" <td>0.012048</td>\n",
" <td>0.012048</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</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>0.024096</td>\n",
" <td>0.000000</td>\n",
" <td>0.036145</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.024096</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.012048</td>\n",
" <td>0.0</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.012048</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.012048</td>\n",
" <td>0.00</td>\n",
" <td>0.012048</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>M5H</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Adelaide, King, Richmond</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</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>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.070000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.000000</td>\n",
" <td>0.000</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>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</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>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.01000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.040000</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>0.0</td>\n",
" <td>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>M5J</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.020000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</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>0.120000</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>0.00000</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>0.000000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.010000</td>\n",
" <td>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.00000</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>0.00000</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>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.020000</td>\n",
" <td>0.01000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.02</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.0000</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>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</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>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>M5K</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Design Exchange, Toronto Dominion Centre</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</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>0.030000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <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>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.080000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.120000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.030000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</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>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.070000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</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>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.020000</td>\n",
" <td>0.0</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>M5L</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Commerce Court, Victoria Hotel</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.010000</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>0.030000</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",
" <td>0.000000</td>\n",
" <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>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.070000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.120000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</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>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.030000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</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>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.020000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.01000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</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>0.00000</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>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.0</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>M5N</td>\n",
" <td>Central Toronto</td>\n",
" <td>Roselawn</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.333333</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.333333</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.333333</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>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>M5P</td>\n",
" <td>Central Toronto</td>\n",
" <td>Forest Hill North, Forest Hill West</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.250000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.250000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.250000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.25000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>M5R</td>\n",
" <td>Central Toronto</td>\n",
" <td>The Annex, North Midtown, Yorkville</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.136364</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.000000</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>0.045455</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.000</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>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</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>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.045455</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</td>\n",
" <td>0.045455</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.045455</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.136364</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</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",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>M5S</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbord, University of Toronto</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.054054</td>\n",
" <td>0.000000</td>\n",
" <td>0.054054</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.054054</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.135135</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.027027</td>\n",
" <td>0.027027</td>\n",
" <td>0.027027</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.054054</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.027027</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.027027</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.054054</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.054054</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.027027</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.027027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>M5T</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Chinatown, Grange Park, Kensington Market</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.011494</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>0.022989</td>\n",
" <td>0.000000</td>\n",
" <td>0.057471</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.011494</td>\n",
" <td>0.011494</td>\n",
" <td>0.011494</td>\n",
" <td>0.00</td>\n",
" <td>0.022989</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.068966</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.011494</td>\n",
" <td>0.057471</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.022989</td>\n",
" <td>0.045977</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>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.022989</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.022989</td>\n",
" <td>0.045977</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.022989</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.011494</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.022989</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>0.00</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.00</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.034483</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.00</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.011494</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.011494</td>\n",
" <td>0.0</td>\n",
" <td>0.011494</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.045977</td>\n",
" <td>0.000000</td>\n",
" <td>0.068966</td>\n",
" <td>0.011494</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>M5V</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
" <td>0.000000</td>\n",
" <td>0.0625</td>\n",
" <td>0.0625</td>\n",
" <td>0.0625</td>\n",
" <td>0.125</td>\n",
" <td>0.125</td>\n",
" <td>0.125</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.062500</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",
" <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>0.062500</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0625</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0625</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>M5W</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Stn A PO Boxes 25 The Esplanade</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.00</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031579</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.0000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.042105</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031579</td>\n",
" <td>0.136842</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>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.00000</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.010526</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.010526</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.021053</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.031579</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031579</td>\n",
" <td>0.031579</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.010526</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.021053</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.031579</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.031579</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.0</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.010526</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>M5X</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>First Canadian Place, Underground city</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</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>0.030000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <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>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.070000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.120000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.030000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.010000</td>\n",
" <td>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.020000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</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>0.01000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.01</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.040000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.030000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</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>0.00000</td>\n",
" <td>0.040000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.020000</td>\n",
" <td>0.0</td>\n",
" <td>0.010000</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.01</td>\n",
" <td>0.010000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.010000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>M6G</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Christie</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.052632</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.157895</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.210526</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.052632</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.105263</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.052632</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>M6H</td>\n",
" <td>West Toronto</td>\n",
" <td>Dovercourt Village, Dufferin</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.125000</td>\n",
" <td>0.062500</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",
" <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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.062500</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.125000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0625</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>M6J</td>\n",
" <td>West Toronto</td>\n",
" <td>Little Portugal, Trinity</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.056604</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>0.132075</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.037736</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.056604</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.018868</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.018868</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.037736</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.018868</td>\n",
" <td>0.00000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.037736</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.056604</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.018868</td>\n",
" <td>0.000000</td>\n",
" <td>0.037736</td>\n",
" <td>0.018868</td>\n",
" <td>0.00</td>\n",
" <td>0.018868</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>M6K</td>\n",
" <td>West Toronto</td>\n",
" <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.043478</td>\n",
" <td>0.000000</td>\n",
" <td>0.043478</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.086957</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.043478</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.086957</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.043478</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.086957</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>0.043478</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.043478</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.043478</td>\n",
" <td>0.043478</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.043478</td>\n",
" <td>0.043478</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.086957</td>\n",
" <td>0.000000</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>0.043478</td>\n",
" <td>0.043478</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.043478</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.043478</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.043478</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>M6P</td>\n",
" <td>West Toronto</td>\n",
" <td>High Park, The Junction South</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</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>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.083333</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.083333</td>\n",
" <td>0.041667</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</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>0.041667</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.083333</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.041667</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.041667</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.083333</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>M6R</td>\n",
" <td>West Toronto</td>\n",
" <td>Parkdale, Roncesvalles</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.071429</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.142857</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</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>0.0000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.071429</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.071429</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>M6S</td>\n",
" <td>West Toronto</td>\n",
" <td>Runnymede, Swansea</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0000</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>0.025000</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>0.050000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.075000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.075000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.025000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.02500</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.075000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.050000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.025000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.025000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.025000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>M7A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Queen's Park</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.025641</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>0.025641</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.025641</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.230769</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</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>0.00000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.051282</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>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.025641</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</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>0.051282</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</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>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.025641</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.025641</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>M7Y</td>\n",
" <td>East Toronto</td>\n",
" <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.0000</td>\n",
" <td>0.000</td>\n",
" <td>0.000</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>0.0625</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.062500</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>0.000</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>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.0625</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</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>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.00000</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</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>0.062500</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.062500</td>\n",
" <td>0.0000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0000</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",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.0625</td>\n",
" <td>0.00</td>\n",
" <td>0.062500</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>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough \\\n",
"0 M4E East Toronto \n",
"1 M4K East Toronto \n",
"2 M4L East Toronto \n",
"3 M4M East Toronto \n",
"4 M4N Central Toronto \n",
"5 M4P Central Toronto \n",
"6 M4R Central Toronto \n",
"7 M4S Central Toronto \n",
"8 M4T Central Toronto \n",
"9 M4V Central Toronto \n",
"10 M4W Downtown Toronto \n",
"11 M4X Downtown Toronto \n",
"12 M4Y Downtown Toronto \n",
"13 M5A Downtown Toronto \n",
"14 M5B Downtown Toronto \n",
"15 M5C Downtown Toronto \n",
"16 M5E Downtown Toronto \n",
"17 M5G Downtown Toronto \n",
"18 M5H Downtown Toronto \n",
"19 M5J Downtown Toronto \n",
"20 M5K Downtown Toronto \n",
"21 M5L Downtown Toronto \n",
"22 M5N Central Toronto \n",
"23 M5P Central Toronto \n",
"24 M5R Central Toronto \n",
"25 M5S Downtown Toronto \n",
"26 M5T Downtown Toronto \n",
"27 M5V Downtown Toronto \n",
"28 M5W Downtown Toronto \n",
"29 M5X Downtown Toronto \n",
"30 M6G Downtown Toronto \n",
"31 M6H West Toronto \n",
"32 M6J West Toronto \n",
"33 M6K West Toronto \n",
"34 M6P West Toronto \n",
"35 M6R West Toronto \n",
"36 M6S West Toronto \n",
"37 M7A Downtown Toronto \n",
"38 M7Y East Toronto \n",
"\n",
" Neighborhoods Afghan Restaurant \\\n",
"0 The Beaches 0.000000 \n",
"1 The Danforth West, Riverdale 0.000000 \n",
"2 The Beaches West, India Bazaar 0.000000 \n",
"3 Studio District 0.000000 \n",
"4 Lawrence Park 0.000000 \n",
"5 Davisville North 0.000000 \n",
"6 North Toronto West 0.000000 \n",
"7 Davisville 0.000000 \n",
"8 Moore Park, Summerhill East 0.000000 \n",
"9 Deer Park, Forest Hill SE, Rathnelly, South Hi... 0.000000 \n",
"10 Rosedale 0.000000 \n",
"11 Cabbagetown, St. James Town 0.000000 \n",
"12 Church and Wellesley 0.012195 \n",
"13 Harbourfront 0.000000 \n",
"14 Ryerson, Garden District 0.000000 \n",
"15 St. James Town 0.000000 \n",
"16 Berczy Park 0.000000 \n",
"17 Central Bay Street 0.000000 \n",
"18 Adelaide, King, Richmond 0.000000 \n",
"19 Harbourfront East, Toronto Islands, Union Station 0.000000 \n",
"20 Design Exchange, Toronto Dominion Centre 0.000000 \n",
"21 Commerce Court, Victoria Hotel 0.000000 \n",
"22 Roselawn 0.000000 \n",
"23 Forest Hill North, Forest Hill West 0.000000 \n",
"24 The Annex, North Midtown, Yorkville 0.000000 \n",
"25 Harbord, University of Toronto 0.000000 \n",
"26 Chinatown, Grange Park, Kensington Market 0.000000 \n",
"27 CN Tower, Bathurst Quay, Island airport, Harbo... 0.000000 \n",
"28 Stn A PO Boxes 25 The Esplanade 0.000000 \n",
"29 First Canadian Place, Underground city 0.000000 \n",
"30 Christie 0.000000 \n",
"31 Dovercourt Village, Dufferin 0.000000 \n",
"32 Little Portugal, Trinity 0.000000 \n",
"33 Brockton, Exhibition Place, Parkdale Village 0.000000 \n",
"34 High Park, The Junction South 0.000000 \n",
"35 Parkdale, Roncesvalles 0.000000 \n",
"36 Runnymede, Swansea 0.000000 \n",
"37 Queen's Park 0.000000 \n",
"38 Business Reply Mail Processing Centre 969 Eastern 0.000000 \n",
"\n",
" Airport Airport Food Court Airport Gate Airport Lounge \\\n",
"0 0.0000 0.0000 0.0000 0.000 \n",
"1 0.0000 0.0000 0.0000 0.000 \n",
"2 0.0000 0.0000 0.0000 0.000 \n",
"3 0.0000 0.0000 0.0000 0.000 \n",
"4 0.0000 0.0000 0.0000 0.000 \n",
"5 0.0000 0.0000 0.0000 0.000 \n",
"6 0.0000 0.0000 0.0000 0.000 \n",
"7 0.0000 0.0000 0.0000 0.000 \n",
"8 0.0000 0.0000 0.0000 0.000 \n",
"9 0.0000 0.0000 0.0000 0.000 \n",
"10 0.0000 0.0000 0.0000 0.000 \n",
"11 0.0000 0.0000 0.0000 0.000 \n",
"12 0.0000 0.0000 0.0000 0.000 \n",
"13 0.0000 0.0000 0.0000 0.000 \n",
"14 0.0000 0.0000 0.0000 0.000 \n",
"15 0.0000 0.0000 0.0000 0.000 \n",
"16 0.0000 0.0000 0.0000 0.000 \n",
"17 0.0000 0.0000 0.0000 0.000 \n",
"18 0.0000 0.0000 0.0000 0.000 \n",
"19 0.0000 0.0000 0.0000 0.000 \n",
"20 0.0000 0.0000 0.0000 0.000 \n",
"21 0.0000 0.0000 0.0000 0.000 \n",
"22 0.0000 0.0000 0.0000 0.000 \n",
"23 0.0000 0.0000 0.0000 0.000 \n",
"24 0.0000 0.0000 0.0000 0.000 \n",
"25 0.0000 0.0000 0.0000 0.000 \n",
"26 0.0000 0.0000 0.0000 0.000 \n",
"27 0.0625 0.0625 0.0625 0.125 \n",
"28 0.0000 0.0000 0.0000 0.000 \n",
"29 0.0000 0.0000 0.0000 0.000 \n",
"30 0.0000 0.0000 0.0000 0.000 \n",
"31 0.0000 0.0000 0.0000 0.000 \n",
"32 0.0000 0.0000 0.0000 0.000 \n",
"33 0.0000 0.0000 0.0000 0.000 \n",
"34 0.0000 0.0000 0.0000 0.000 \n",
"35 0.0000 0.0000 0.0000 0.000 \n",
"36 0.0000 0.0000 0.0000 0.000 \n",
"37 0.0000 0.0000 0.0000 0.000 \n",
"38 0.0000 0.0000 0.0000 0.000 \n",
"\n",
" Airport Service Airport Terminal American Restaurant Antique Shop \\\n",
"0 0.000 0.000 0.000000 0.000000 \n",
"1 0.000 0.000 0.023810 0.000000 \n",
"2 0.000 0.000 0.000000 0.000000 \n",
"3 0.000 0.000 0.047619 0.000000 \n",
"4 0.000 0.000 0.000000 0.000000 \n",
"5 0.000 0.000 0.000000 0.000000 \n",
"6 0.000 0.000 0.000000 0.000000 \n",
"7 0.000 0.000 0.000000 0.000000 \n",
"8 0.000 0.000 0.000000 0.000000 \n",
"9 0.000 0.000 0.066667 0.000000 \n",
"10 0.000 0.000 0.000000 0.000000 \n",
"11 0.000 0.000 0.021277 0.000000 \n",
"12 0.000 0.000 0.012195 0.000000 \n",
"13 0.000 0.000 0.000000 0.021277 \n",
"14 0.000 0.000 0.010000 0.000000 \n",
"15 0.000 0.000 0.030000 0.000000 \n",
"16 0.000 0.000 0.000000 0.000000 \n",
"17 0.000 0.000 0.012048 0.000000 \n",
"18 0.000 0.000 0.020000 0.000000 \n",
"19 0.000 0.000 0.000000 0.000000 \n",
"20 0.000 0.000 0.020000 0.000000 \n",
"21 0.000 0.000 0.030000 0.000000 \n",
"22 0.000 0.000 0.000000 0.000000 \n",
"23 0.000 0.000 0.000000 0.000000 \n",
"24 0.000 0.000 0.045455 0.000000 \n",
"25 0.000 0.000 0.000000 0.000000 \n",
"26 0.000 0.000 0.000000 0.000000 \n",
"27 0.125 0.125 0.000000 0.000000 \n",
"28 0.000 0.000 0.000000 0.010526 \n",
"29 0.000 0.000 0.020000 0.000000 \n",
"30 0.000 0.000 0.000000 0.000000 \n",
"31 0.000 0.000 0.000000 0.000000 \n",
"32 0.000 0.000 0.000000 0.000000 \n",
"33 0.000 0.000 0.000000 0.000000 \n",
"34 0.000 0.000 0.000000 0.041667 \n",
"35 0.000 0.000 0.000000 0.000000 \n",
"36 0.000 0.000 0.000000 0.000000 \n",
"37 0.000 0.000 0.000000 0.000000 \n",
"38 0.000 0.000 0.000000 0.000000 \n",
"\n",
" Aquarium Art Gallery Arts & Crafts Store Asian Restaurant \\\n",
"0 0.00 0.000000 0.000000 0.200000 \n",
"1 0.00 0.000000 0.000000 0.000000 \n",
"2 0.00 0.000000 0.000000 0.000000 \n",
"3 0.00 0.000000 0.000000 0.000000 \n",
"4 0.00 0.000000 0.000000 0.000000 \n",
"5 0.00 0.000000 0.000000 0.000000 \n",
"6 0.00 0.000000 0.000000 0.000000 \n",
"7 0.00 0.000000 0.000000 0.000000 \n",
"8 0.00 0.000000 0.000000 0.000000 \n",
"9 0.00 0.000000 0.000000 0.000000 \n",
"10 0.00 0.000000 0.000000 0.000000 \n",
"11 0.00 0.000000 0.000000 0.000000 \n",
"12 0.00 0.000000 0.012195 0.000000 \n",
"13 0.00 0.021277 0.000000 0.000000 \n",
"14 0.00 0.010000 0.000000 0.000000 \n",
"15 0.00 0.010000 0.000000 0.010000 \n",
"16 0.00 0.017857 0.000000 0.000000 \n",
"17 0.00 0.000000 0.000000 0.000000 \n",
"18 0.00 0.010000 0.000000 0.030000 \n",
"19 0.05 0.010000 0.000000 0.000000 \n",
"20 0.00 0.010000 0.000000 0.010000 \n",
"21 0.00 0.010000 0.000000 0.010000 \n",
"22 0.00 0.000000 0.000000 0.000000 \n",
"23 0.00 0.000000 0.000000 0.000000 \n",
"24 0.00 0.000000 0.000000 0.000000 \n",
"25 0.00 0.000000 0.000000 0.000000 \n",
"26 0.00 0.000000 0.011494 0.000000 \n",
"27 0.00 0.000000 0.000000 0.000000 \n",
"28 0.00 0.021053 0.000000 0.000000 \n",
"29 0.00 0.010000 0.000000 0.030000 \n",
"30 0.00 0.000000 0.000000 0.000000 \n",
"31 0.00 0.000000 0.000000 0.000000 \n",
"32 0.00 0.018868 0.000000 0.056604 \n",
"33 0.00 0.000000 0.000000 0.000000 \n",
"34 0.00 0.000000 0.041667 0.000000 \n",
"35 0.00 0.000000 0.000000 0.000000 \n",
"36 0.00 0.000000 0.000000 0.000000 \n",
"37 0.00 0.000000 0.025641 0.000000 \n",
"38 0.00 0.000000 0.000000 0.000000 \n",
"\n",
" Athletics & Sports Auto Workshop BBQ Joint Baby Store Bagel Shop \\\n",
"0 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.0000 0.000000 0.000000 0.047619 \n",
"7 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"13 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"14 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"15 0.000000 0.0000 0.020000 0.000000 0.010000 \n",
"16 0.000000 0.0000 0.017857 0.000000 0.017857 \n",
"17 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"18 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.0000 0.045455 0.000000 0.000000 \n",
"25 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"26 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.0000 0.010526 0.000000 0.010526 \n",
"29 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"30 0.052632 0.0000 0.000000 0.052632 0.000000 \n",
"31 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.0000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.0625 0.000000 0.000000 0.000000 \n",
"\n",
" Bakery Bank Bar Baseball Stadium Basketball Stadium \\\n",
"0 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"1 0.023810 0.000000 0.000000 0.00 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"3 0.047619 0.023810 0.023810 0.00 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"11 0.042553 0.021277 0.000000 0.00 0.000000 \n",
"12 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"13 0.063830 0.021277 0.000000 0.00 0.000000 \n",
"14 0.020000 0.010000 0.010000 0.00 0.000000 \n",
"15 0.030000 0.000000 0.000000 0.00 0.000000 \n",
"16 0.035714 0.000000 0.000000 0.00 0.017857 \n",
"17 0.024096 0.000000 0.024096 0.00 0.000000 \n",
"18 0.030000 0.000000 0.030000 0.00 0.000000 \n",
"19 0.020000 0.000000 0.020000 0.02 0.010000 \n",
"20 0.020000 0.000000 0.030000 0.00 0.010000 \n",
"21 0.030000 0.000000 0.020000 0.00 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"25 0.054054 0.000000 0.054054 0.00 0.000000 \n",
"26 0.022989 0.000000 0.057471 0.00 0.000000 \n",
"27 0.000000 0.000000 0.062500 0.00 0.000000 \n",
"28 0.021053 0.000000 0.000000 0.00 0.010526 \n",
"29 0.020000 0.000000 0.030000 0.00 0.000000 \n",
"30 0.000000 0.052632 0.000000 0.00 0.000000 \n",
"31 0.125000 0.062500 0.062500 0.00 0.000000 \n",
"32 0.000000 0.000000 0.132075 0.00 0.000000 \n",
"33 0.043478 0.000000 0.043478 0.00 0.000000 \n",
"34 0.041667 0.000000 0.083333 0.00 0.000000 \n",
"35 0.000000 0.000000 0.071429 0.00 0.000000 \n",
"36 0.000000 0.000000 0.025000 0.00 0.000000 \n",
"37 0.000000 0.000000 0.025641 0.00 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"\n",
" Beach Bed & Breakfast Beer Bar Beer Store Belgian Restaurant \\\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 0.000000 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 0.000000 0.000000 \n",
"7 0.000000 0.000000 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 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.021277 0.000000 \n",
"12 0.000000 0.000000 0.012195 0.000000 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.021277 0.000000 \n",
"14 0.000000 0.000000 0.010000 0.000000 0.000000 \n",
"15 0.000000 0.000000 0.030000 0.000000 0.000000 \n",
"16 0.017857 0.000000 0.035714 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 0.000000 0.010000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.020000 0.000000 0.000000 \n",
"21 0.000000 0.000000 0.020000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.027027 0.027027 0.000000 \n",
"26 0.000000 0.011494 0.011494 0.000000 0.011494 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.031579 0.000000 0.000000 \n",
"29 0.000000 0.000000 0.020000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.018868 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 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.000000 0.025641 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Bistro Boat or Ferry Bookstore Boutique Brazilian Restaurant \\\n",
"0 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"1 0.000000 0.0000 0.047619 0.000000 0.00 \n",
"2 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"3 0.000000 0.0000 0.023810 0.000000 0.00 \n",
"4 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"5 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"6 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"7 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"8 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"9 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"10 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"11 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"12 0.000000 0.0000 0.012195 0.000000 0.00 \n",
"13 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"14 0.000000 0.0000 0.020000 0.000000 0.00 \n",
"15 0.000000 0.0000 0.010000 0.000000 0.00 \n",
"16 0.017857 0.0000 0.000000 0.000000 0.00 \n",
"17 0.000000 0.0000 0.012048 0.000000 0.00 \n",
"18 0.000000 0.0000 0.020000 0.000000 0.01 \n",
"19 0.010000 0.0000 0.000000 0.000000 0.00 \n",
"20 0.000000 0.0000 0.010000 0.000000 0.00 \n",
"21 0.000000 0.0000 0.010000 0.000000 0.00 \n",
"22 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"23 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"24 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"25 0.000000 0.0000 0.054054 0.000000 0.00 \n",
"26 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"27 0.000000 0.0625 0.000000 0.062500 0.00 \n",
"28 0.010526 0.0000 0.010526 0.000000 0.00 \n",
"29 0.000000 0.0000 0.010000 0.000000 0.01 \n",
"30 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"31 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"32 0.018868 0.0000 0.000000 0.018868 0.00 \n",
"33 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"34 0.000000 0.0000 0.041667 0.000000 0.00 \n",
"35 0.000000 0.0000 0.071429 0.000000 0.00 \n",
"36 0.000000 0.0000 0.050000 0.000000 0.00 \n",
"37 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"38 0.000000 0.0000 0.000000 0.000000 0.00 \n",
"\n",
" Breakfast Spot Brewery Bubble Tea Shop Building Burger Joint \\\n",
"0 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"1 0.000000 0.023810 0.023810 0.00 0.000000 \n",
"2 0.000000 0.055556 0.000000 0.00 0.055556 \n",
"3 0.000000 0.047619 0.000000 0.00 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"5 0.125000 0.000000 0.000000 0.00 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"7 0.000000 0.031250 0.000000 0.00 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"11 0.021277 0.000000 0.000000 0.00 0.000000 \n",
"12 0.012195 0.000000 0.012195 0.00 0.024390 \n",
"13 0.042553 0.000000 0.000000 0.00 0.000000 \n",
"14 0.000000 0.000000 0.020000 0.00 0.010000 \n",
"15 0.030000 0.000000 0.000000 0.00 0.010000 \n",
"16 0.017857 0.000000 0.000000 0.00 0.000000 \n",
"17 0.000000 0.000000 0.012048 0.00 0.036145 \n",
"18 0.030000 0.000000 0.000000 0.01 0.030000 \n",
"19 0.000000 0.030000 0.010000 0.00 0.000000 \n",
"20 0.010000 0.000000 0.000000 0.00 0.010000 \n",
"21 0.010000 0.000000 0.000000 0.01 0.020000 \n",
"22 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.00 0.045455 \n",
"25 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"26 0.011494 0.011494 0.011494 0.00 0.022989 \n",
"27 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"28 0.021053 0.000000 0.000000 0.00 0.000000 \n",
"29 0.000000 0.000000 0.000000 0.01 0.030000 \n",
"30 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"31 0.000000 0.062500 0.000000 0.00 0.000000 \n",
"32 0.000000 0.018868 0.000000 0.00 0.000000 \n",
"33 0.086957 0.000000 0.000000 0.00 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"35 0.142857 0.000000 0.000000 0.00 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"37 0.000000 0.000000 0.000000 0.00 0.025641 \n",
"38 0.000000 0.062500 0.000000 0.00 0.000000 \n",
"\n",
" Burrito Place Bus Line Butcher Café Cajun / Creole Restaurant \\\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 0.055556 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.095238 0.000000 \n",
"4 0.000000 0.333333 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 0.047619 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.062500 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 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.021277 0.042553 0.000000 \n",
"12 0.012195 0.000000 0.000000 0.024390 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.063830 0.000000 \n",
"14 0.010000 0.000000 0.000000 0.030000 0.000000 \n",
"15 0.000000 0.000000 0.010000 0.060000 0.000000 \n",
"16 0.000000 0.000000 0.017857 0.035714 0.000000 \n",
"17 0.000000 0.000000 0.000000 0.048193 0.000000 \n",
"18 0.010000 0.000000 0.000000 0.040000 0.000000 \n",
"19 0.000000 0.000000 0.000000 0.040000 0.000000 \n",
"20 0.010000 0.000000 0.000000 0.080000 0.000000 \n",
"21 0.000000 0.000000 0.000000 0.070000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.136364 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.135135 0.000000 \n",
"26 0.011494 0.000000 0.000000 0.068966 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.010526 0.042105 0.000000 \n",
"29 0.000000 0.000000 0.000000 0.070000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.157895 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.062500 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.037736 0.000000 \n",
"33 0.043478 0.000000 0.000000 0.086957 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.083333 0.041667 \n",
"35 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.025000 0.000000 0.000000 0.075000 0.000000 \n",
"37 0.025641 0.000000 0.000000 0.025641 0.000000 \n",
"38 0.062500 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Camera Store Candy Store Caribbean Restaurant Cheese Shop \\\n",
"0 0.00 0.000000 0.000000 0.000000 \n",
"1 0.00 0.000000 0.023810 0.000000 \n",
"2 0.00 0.000000 0.000000 0.000000 \n",
"3 0.00 0.000000 0.000000 0.023810 \n",
"4 0.00 0.000000 0.000000 0.000000 \n",
"5 0.00 0.000000 0.000000 0.000000 \n",
"6 0.00 0.000000 0.000000 0.000000 \n",
"7 0.00 0.000000 0.000000 0.000000 \n",
"8 0.00 0.000000 0.000000 0.000000 \n",
"9 0.00 0.000000 0.000000 0.000000 \n",
"10 0.00 0.000000 0.000000 0.000000 \n",
"11 0.00 0.000000 0.021277 0.000000 \n",
"12 0.00 0.000000 0.012195 0.000000 \n",
"13 0.00 0.000000 0.000000 0.000000 \n",
"14 0.00 0.000000 0.000000 0.000000 \n",
"15 0.01 0.000000 0.000000 0.010000 \n",
"16 0.00 0.000000 0.000000 0.035714 \n",
"17 0.00 0.000000 0.000000 0.000000 \n",
"18 0.00 0.000000 0.000000 0.000000 \n",
"19 0.00 0.000000 0.000000 0.000000 \n",
"20 0.00 0.000000 0.000000 0.000000 \n",
"21 0.00 0.000000 0.000000 0.000000 \n",
"22 0.00 0.000000 0.000000 0.000000 \n",
"23 0.00 0.000000 0.000000 0.000000 \n",
"24 0.00 0.000000 0.000000 0.000000 \n",
"25 0.00 0.000000 0.000000 0.000000 \n",
"26 0.00 0.000000 0.011494 0.011494 \n",
"27 0.00 0.000000 0.000000 0.000000 \n",
"28 0.00 0.000000 0.000000 0.021053 \n",
"29 0.00 0.000000 0.000000 0.000000 \n",
"30 0.00 0.052632 0.000000 0.000000 \n",
"31 0.00 0.000000 0.000000 0.000000 \n",
"32 0.00 0.000000 0.000000 0.000000 \n",
"33 0.00 0.000000 0.000000 0.000000 \n",
"34 0.00 0.000000 0.000000 0.000000 \n",
"35 0.00 0.000000 0.000000 0.000000 \n",
"36 0.00 0.000000 0.000000 0.000000 \n",
"37 0.00 0.000000 0.000000 0.000000 \n",
"38 0.00 0.000000 0.000000 0.000000 \n",
"\n",
" Chinese Restaurant Chocolate Shop Church Climbing Gym \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.047619 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.021277 0.000000 0.000000 0.000000 \n",
"12 0.012195 0.000000 0.000000 0.000000 \n",
"13 0.000000 0.021277 0.000000 0.000000 \n",
"14 0.010000 0.000000 0.000000 0.000000 \n",
"15 0.000000 0.000000 0.010000 0.000000 \n",
"16 0.000000 0.000000 0.000000 0.000000 \n",
"17 0.024096 0.000000 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.000000 0.000000 \n",
"19 0.010000 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.027027 0.000000 0.000000 0.000000 \n",
"26 0.057471 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.010526 0.000000 \n",
"29 0.000000 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 0.043478 \n",
"34 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.000000 \n",
"37 0.025641 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Clothing Store Cocktail Bar Coffee Shop College Arts Building \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.095238 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.023810 0.000000 0.071429 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.190476 0.000000 0.095238 0.000000 \n",
"7 0.000000 0.000000 0.062500 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.133333 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.106383 0.000000 \n",
"12 0.012195 0.000000 0.073171 0.000000 \n",
"13 0.000000 0.000000 0.170213 0.000000 \n",
"14 0.080000 0.000000 0.090000 0.000000 \n",
"15 0.030000 0.030000 0.080000 0.000000 \n",
"16 0.000000 0.053571 0.089286 0.000000 \n",
"17 0.000000 0.000000 0.156627 0.000000 \n",
"18 0.000000 0.000000 0.070000 0.000000 \n",
"19 0.000000 0.000000 0.120000 0.000000 \n",
"20 0.000000 0.000000 0.120000 0.000000 \n",
"21 0.000000 0.010000 0.120000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.090909 0.000000 \n",
"25 0.000000 0.000000 0.027027 0.027027 \n",
"26 0.000000 0.022989 0.045977 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.031579 0.136842 0.000000 \n",
"29 0.000000 0.000000 0.120000 0.000000 \n",
"30 0.000000 0.000000 0.052632 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.018868 0.056604 0.000000 \n",
"33 0.000000 0.000000 0.086957 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.071429 0.000000 \n",
"36 0.000000 0.000000 0.075000 0.000000 \n",
"37 0.000000 0.000000 0.230769 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" College Auditorium College Gym College Rec Center Colombian Restaurant \\\n",
"0 0.000000 0.000000 0.00 0.00 \n",
"1 0.000000 0.000000 0.00 0.00 \n",
"2 0.000000 0.000000 0.00 0.00 \n",
"3 0.000000 0.000000 0.00 0.00 \n",
"4 0.000000 0.000000 0.00 0.00 \n",
"5 0.000000 0.000000 0.00 0.00 \n",
"6 0.000000 0.000000 0.00 0.00 \n",
"7 0.000000 0.000000 0.00 0.00 \n",
"8 0.000000 0.000000 0.00 0.00 \n",
"9 0.000000 0.000000 0.00 0.00 \n",
"10 0.000000 0.000000 0.00 0.00 \n",
"11 0.000000 0.000000 0.00 0.00 \n",
"12 0.000000 0.000000 0.00 0.00 \n",
"13 0.000000 0.000000 0.00 0.00 \n",
"14 0.000000 0.000000 0.01 0.00 \n",
"15 0.000000 0.000000 0.00 0.00 \n",
"16 0.000000 0.000000 0.00 0.00 \n",
"17 0.000000 0.000000 0.00 0.00 \n",
"18 0.000000 0.000000 0.00 0.01 \n",
"19 0.000000 0.000000 0.00 0.00 \n",
"20 0.000000 0.000000 0.00 0.00 \n",
"21 0.000000 0.000000 0.00 0.00 \n",
"22 0.000000 0.000000 0.00 0.00 \n",
"23 0.000000 0.000000 0.00 0.00 \n",
"24 0.000000 0.000000 0.00 0.00 \n",
"25 0.027027 0.027027 0.00 0.00 \n",
"26 0.000000 0.000000 0.00 0.00 \n",
"27 0.000000 0.000000 0.00 0.00 \n",
"28 0.000000 0.000000 0.00 0.00 \n",
"29 0.000000 0.000000 0.00 0.01 \n",
"30 0.000000 0.000000 0.00 0.00 \n",
"31 0.000000 0.000000 0.00 0.00 \n",
"32 0.000000 0.000000 0.00 0.00 \n",
"33 0.000000 0.000000 0.00 0.00 \n",
"34 0.000000 0.000000 0.00 0.00 \n",
"35 0.000000 0.000000 0.00 0.00 \n",
"36 0.000000 0.000000 0.00 0.00 \n",
"37 0.025641 0.000000 0.00 0.00 \n",
"38 0.000000 0.000000 0.00 0.00 \n",
"\n",
" Comfort Food Restaurant Comic Shop Concert Hall Convenience Store \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.023810 0.000000 0.000000 0.023810 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.000000 0.000000 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.000000 \n",
"14 0.000000 0.010000 0.000000 0.000000 \n",
"15 0.010000 0.000000 0.000000 0.000000 \n",
"16 0.017857 0.000000 0.017857 0.000000 \n",
"17 0.000000 0.012048 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.020000 0.000000 \n",
"19 0.000000 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.010000 0.000000 \n",
"21 0.000000 0.000000 0.010000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.027027 0.000000 0.000000 0.000000 \n",
"26 0.011494 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.010526 0.000000 0.010526 0.000000 \n",
"29 0.000000 0.000000 0.020000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 0.043478 \n",
"34 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.062500 0.000000 0.000000 \n",
"\n",
" Cosmetics Shop Coworking Space Creperie Cuban Restaurant Cupcake Shop \\\n",
"0 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"1 0.023810 0.00000 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.02381 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.00000 0.012195 0.000000 0.000000 \n",
"13 0.021277 0.00000 0.000000 0.000000 0.000000 \n",
"14 0.030000 0.00000 0.000000 0.000000 0.000000 \n",
"15 0.030000 0.00000 0.010000 0.000000 0.000000 \n",
"16 0.000000 0.00000 0.017857 0.000000 0.000000 \n",
"17 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"18 0.030000 0.00000 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.00000 0.010000 0.000000 0.000000 \n",
"22 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"24 0.045455 0.00000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"26 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"28 0.010526 0.00000 0.021053 0.000000 0.000000 \n",
"29 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.00000 0.000000 0.018868 0.018868 \n",
"33 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.00000 0.000000 0.071429 0.000000 \n",
"36 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.00000 0.025641 0.000000 0.000000 \n",
"38 0.000000 0.00000 0.000000 0.000000 0.000000 \n",
"\n",
" Dance Studio Deli / Bodega Department Store Dessert Shop \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.023810 \n",
"2 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.125000 0.000000 0.125000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.047619 \n",
"7 0.000000 0.000000 0.000000 0.093750 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.021277 0.000000 0.000000 \n",
"12 0.012195 0.000000 0.000000 0.012195 \n",
"13 0.000000 0.000000 0.000000 0.021277 \n",
"14 0.000000 0.000000 0.010000 0.010000 \n",
"15 0.000000 0.000000 0.020000 0.000000 \n",
"16 0.000000 0.000000 0.017857 0.000000 \n",
"17 0.000000 0.000000 0.024096 0.012048 \n",
"18 0.010000 0.010000 0.010000 0.000000 \n",
"19 0.010000 0.010000 0.010000 0.010000 \n",
"20 0.000000 0.030000 0.000000 0.000000 \n",
"21 0.000000 0.030000 0.010000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.027027 \n",
"26 0.000000 0.011494 0.000000 0.022989 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.010526 0.010526 0.000000 \n",
"29 0.000000 0.030000 0.010000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.018868 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.071429 \n",
"36 0.000000 0.000000 0.000000 0.025000 \n",
"37 0.000000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Dim Sum Restaurant Diner Discount Store Dog Run Doner Restaurant \\\n",
"0 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.023810 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.023810 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.047619 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.031250 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 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.021277 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.012195 0.000000 0.012195 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"14 0.000000 0.020000 0.000000 0.000000 0.000000 \n",
"15 0.000000 0.020000 0.000000 0.000000 0.000000 \n",
"16 0.000000 0.017857 0.000000 0.000000 0.000000 \n",
"17 0.000000 0.012048 0.012048 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.000000 0.010000 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 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"26 0.011494 0.000000 0.000000 0.000000 0.011494 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.010526 0.000000 0.000000 0.000000 \n",
"29 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.052632 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.041667 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.071429 0.000000 \n",
"36 0.000000 0.025000 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.025641 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Donut Shop Dumpling Restaurant Eastern European Restaurant \\\n",
"0 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.000000 0.000000 \n",
"13 0.000000 0.000000 0.000000 \n",
"14 0.000000 0.000000 0.000000 \n",
"15 0.000000 0.000000 0.000000 \n",
"16 0.000000 0.000000 0.017857 \n",
"17 0.012048 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 \n",
"26 0.022989 0.045977 0.000000 \n",
"27 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.010526 \n",
"29 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.071429 \n",
"36 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 \n",
"\n",
" Electronics Store Ethiopian Restaurant Event Space Falafel Restaurant \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.012195 0.000000 0.000000 \n",
"13 0.021277 0.000000 0.021277 0.000000 \n",
"14 0.020000 0.010000 0.000000 0.000000 \n",
"15 0.010000 0.000000 0.000000 0.000000 \n",
"16 0.000000 0.000000 0.000000 0.000000 \n",
"17 0.000000 0.000000 0.000000 0.012048 \n",
"18 0.010000 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.000000 0.010000 0.000000 \n",
"20 0.000000 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.000000 \n",
"26 0.000000 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.000000 0.000000 \n",
"29 0.000000 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.025000 0.000000 0.000000 0.025000 \n",
"37 0.000000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Farmers Market Fast Food Restaurant Filipino Restaurant \\\n",
"0 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.055556 0.000000 \n",
"3 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.047619 0.000000 \n",
"7 0.031250 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 \n",
"11 0.021277 0.000000 0.000000 \n",
"12 0.000000 0.024390 0.000000 \n",
"13 0.021277 0.000000 0.000000 \n",
"14 0.000000 0.020000 0.000000 \n",
"15 0.020000 0.000000 0.000000 \n",
"16 0.035714 0.000000 0.000000 \n",
"17 0.000000 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 \n",
"26 0.022989 0.000000 0.011494 \n",
"27 0.000000 0.000000 0.000000 \n",
"28 0.021053 0.000000 0.000000 \n",
"29 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.062500 0.000000 \n",
"32 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.041667 0.000000 \n",
"35 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.025641 0.000000 \n",
"38 0.062500 0.062500 0.000000 \n",
"\n",
" Fish & Chips Shop Fish Market Flea Market Flower Shop Food \\\n",
"0 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"1 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"2 0.055556 0.000000 0.000000 0.000000 0.000 \n",
"3 0.000000 0.023810 0.000000 0.000000 0.000 \n",
"4 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"5 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"6 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"7 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"8 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"9 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"10 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"11 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"12 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"13 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"14 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"15 0.000000 0.010000 0.000000 0.000000 0.000 \n",
"16 0.000000 0.017857 0.000000 0.000000 0.000 \n",
"17 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"18 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"19 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"20 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"21 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"23 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"24 0.000000 0.000000 0.000000 0.045455 0.000 \n",
"25 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"26 0.000000 0.011494 0.000000 0.000000 0.000 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"28 0.000000 0.010526 0.000000 0.000000 0.000 \n",
"29 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"30 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"31 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"32 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"33 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"34 0.000000 0.000000 0.041667 0.000000 0.000 \n",
"35 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"36 0.025000 0.000000 0.000000 0.000000 0.025 \n",
"37 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.000 \n",
"\n",
" Food & Drink Shop Food Court Food Truck Fountain French Restaurant \\\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 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.125000 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 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 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"12 0.012195 0.000000 0.000000 0.000000 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.000000 0.021277 \n",
"14 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"15 0.010000 0.000000 0.010000 0.010000 0.010000 \n",
"16 0.000000 0.000000 0.000000 0.017857 0.017857 \n",
"17 0.000000 0.000000 0.000000 0.000000 0.012048 \n",
"18 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.010000 0.000000 0.000000 0.010000 \n",
"21 0.000000 0.010000 0.010000 0.010000 0.010000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.000000 0.027027 \n",
"26 0.000000 0.011494 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.010526 0.010526 0.010526 \n",
"29 0.000000 0.010000 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.000000 0.018868 \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 0.000000 \n",
"36 0.025000 0.000000 0.000000 0.000000 0.025000 \n",
"37 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Fried Chicken Joint Frozen Yogurt Shop Fruit & Vegetable Store \\\n",
"0 0.000000 0.00000 0.00000 \n",
"1 0.000000 0.02381 0.02381 \n",
"2 0.000000 0.00000 0.00000 \n",
"3 0.000000 0.00000 0.00000 \n",
"4 0.000000 0.00000 0.00000 \n",
"5 0.000000 0.00000 0.00000 \n",
"6 0.000000 0.00000 0.00000 \n",
"7 0.000000 0.00000 0.00000 \n",
"8 0.000000 0.00000 0.00000 \n",
"9 0.066667 0.00000 0.00000 \n",
"10 0.000000 0.00000 0.00000 \n",
"11 0.000000 0.00000 0.00000 \n",
"12 0.000000 0.00000 0.00000 \n",
"13 0.000000 0.00000 0.00000 \n",
"14 0.000000 0.00000 0.00000 \n",
"15 0.000000 0.00000 0.00000 \n",
"16 0.000000 0.00000 0.00000 \n",
"17 0.012048 0.00000 0.00000 \n",
"18 0.000000 0.00000 0.00000 \n",
"19 0.030000 0.00000 0.00000 \n",
"20 0.010000 0.00000 0.00000 \n",
"21 0.010000 0.00000 0.00000 \n",
"22 0.000000 0.00000 0.00000 \n",
"23 0.000000 0.00000 0.00000 \n",
"24 0.000000 0.00000 0.00000 \n",
"25 0.000000 0.00000 0.00000 \n",
"26 0.000000 0.00000 0.00000 \n",
"27 0.000000 0.00000 0.00000 \n",
"28 0.000000 0.00000 0.00000 \n",
"29 0.010000 0.00000 0.00000 \n",
"30 0.000000 0.00000 0.00000 \n",
"31 0.000000 0.00000 0.00000 \n",
"32 0.000000 0.00000 0.00000 \n",
"33 0.000000 0.00000 0.00000 \n",
"34 0.041667 0.00000 0.00000 \n",
"35 0.000000 0.00000 0.00000 \n",
"36 0.000000 0.00000 0.00000 \n",
"37 0.025641 0.00000 0.00000 \n",
"38 0.000000 0.00000 0.00000 \n",
"\n",
" Furniture / Home Store Gaming Cafe Garden Garden Center Gas Station \\\n",
"0 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"1 0.047619 0.000000 0.000000 0.0000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.0000 0.031250 \n",
"8 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"12 0.000000 0.000000 0.000000 0.0000 0.012195 \n",
"13 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"14 0.010000 0.000000 0.000000 0.0000 0.000000 \n",
"15 0.010000 0.000000 0.000000 0.0000 0.000000 \n",
"16 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"17 0.012048 0.000000 0.000000 0.0000 0.000000 \n",
"18 0.010000 0.000000 0.000000 0.0000 0.000000 \n",
"19 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"20 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"21 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"22 0.000000 0.000000 0.333333 0.0000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"26 0.011494 0.011494 0.000000 0.0000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"28 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"29 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.0000 0.052632 \n",
"31 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"33 0.043478 0.000000 0.000000 0.0000 0.000000 \n",
"34 0.041667 0.000000 0.000000 0.0000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"37 0.000000 0.000000 0.000000 0.0000 0.000000 \n",
"38 0.000000 0.000000 0.062500 0.0625 0.000000 \n",
"\n",
" Gastropub Gay Bar General Entertainment General Travel \\\n",
"0 0.000000 0.00000 0.000000 0.00 \n",
"1 0.000000 0.00000 0.000000 0.00 \n",
"2 0.000000 0.00000 0.000000 0.00 \n",
"3 0.047619 0.02381 0.000000 0.00 \n",
"4 0.000000 0.00000 0.000000 0.00 \n",
"5 0.000000 0.00000 0.000000 0.00 \n",
"6 0.000000 0.00000 0.000000 0.00 \n",
"7 0.000000 0.00000 0.000000 0.00 \n",
"8 0.000000 0.00000 0.000000 0.00 \n",
"9 0.000000 0.00000 0.000000 0.00 \n",
"10 0.000000 0.00000 0.000000 0.00 \n",
"11 0.021277 0.00000 0.021277 0.00 \n",
"12 0.024390 0.04878 0.012195 0.00 \n",
"13 0.000000 0.00000 0.000000 0.00 \n",
"14 0.010000 0.00000 0.000000 0.00 \n",
"15 0.020000 0.00000 0.000000 0.00 \n",
"16 0.000000 0.00000 0.000000 0.00 \n",
"17 0.012048 0.00000 0.000000 0.00 \n",
"18 0.020000 0.00000 0.000000 0.01 \n",
"19 0.000000 0.00000 0.000000 0.00 \n",
"20 0.030000 0.00000 0.000000 0.01 \n",
"21 0.030000 0.00000 0.000000 0.01 \n",
"22 0.000000 0.00000 0.000000 0.00 \n",
"23 0.000000 0.00000 0.000000 0.00 \n",
"24 0.000000 0.00000 0.000000 0.00 \n",
"25 0.000000 0.00000 0.000000 0.00 \n",
"26 0.000000 0.00000 0.000000 0.00 \n",
"27 0.000000 0.00000 0.000000 0.00 \n",
"28 0.010526 0.00000 0.000000 0.00 \n",
"29 0.030000 0.00000 0.000000 0.01 \n",
"30 0.000000 0.00000 0.000000 0.00 \n",
"31 0.000000 0.00000 0.000000 0.00 \n",
"32 0.000000 0.00000 0.000000 0.00 \n",
"33 0.000000 0.00000 0.000000 0.00 \n",
"34 0.041667 0.00000 0.000000 0.00 \n",
"35 0.000000 0.00000 0.000000 0.00 \n",
"36 0.025000 0.00000 0.000000 0.00 \n",
"37 0.000000 0.00000 0.000000 0.00 \n",
"38 0.000000 0.00000 0.000000 0.00 \n",
"\n",
" German Restaurant Gift Shop Gluten-free Restaurant Gourmet Shop \\\n",
"0 0.00 0.000000 0.00 0.000000 \n",
"1 0.00 0.000000 0.00 0.000000 \n",
"2 0.00 0.000000 0.00 0.000000 \n",
"3 0.00 0.000000 0.00 0.000000 \n",
"4 0.00 0.000000 0.00 0.000000 \n",
"5 0.00 0.000000 0.00 0.000000 \n",
"6 0.00 0.000000 0.00 0.000000 \n",
"7 0.00 0.000000 0.00 0.031250 \n",
"8 0.00 0.000000 0.00 0.000000 \n",
"9 0.00 0.000000 0.00 0.000000 \n",
"10 0.00 0.000000 0.00 0.000000 \n",
"11 0.00 0.021277 0.00 0.000000 \n",
"12 0.00 0.000000 0.00 0.000000 \n",
"13 0.00 0.000000 0.00 0.000000 \n",
"14 0.00 0.000000 0.00 0.000000 \n",
"15 0.01 0.000000 0.00 0.000000 \n",
"16 0.00 0.000000 0.00 0.017857 \n",
"17 0.00 0.000000 0.00 0.000000 \n",
"18 0.00 0.010000 0.01 0.000000 \n",
"19 0.00 0.000000 0.00 0.000000 \n",
"20 0.00 0.010000 0.00 0.000000 \n",
"21 0.00 0.010000 0.01 0.000000 \n",
"22 0.00 0.000000 0.00 0.000000 \n",
"23 0.00 0.000000 0.00 0.000000 \n",
"24 0.00 0.000000 0.00 0.000000 \n",
"25 0.00 0.000000 0.00 0.000000 \n",
"26 0.00 0.000000 0.00 0.011494 \n",
"27 0.00 0.000000 0.00 0.000000 \n",
"28 0.00 0.000000 0.00 0.010526 \n",
"29 0.00 0.010000 0.01 0.000000 \n",
"30 0.00 0.000000 0.00 0.000000 \n",
"31 0.00 0.000000 0.00 0.000000 \n",
"32 0.00 0.018868 0.00 0.000000 \n",
"33 0.00 0.000000 0.00 0.000000 \n",
"34 0.00 0.000000 0.00 0.000000 \n",
"35 0.00 0.142857 0.00 0.000000 \n",
"36 0.00 0.000000 0.00 0.025000 \n",
"37 0.00 0.000000 0.00 0.000000 \n",
"38 0.00 0.000000 0.00 0.000000 \n",
"\n",
" Greek Restaurant Grocery Store Gym Gym / Fitness Center \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.214286 0.023810 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.055556 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.023810 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.125000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.000000 \n",
"7 0.031250 0.000000 0.062500 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.021277 0.000000 0.021277 \n",
"12 0.000000 0.012195 0.024390 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.021277 \n",
"14 0.000000 0.000000 0.010000 0.010000 \n",
"15 0.000000 0.010000 0.010000 0.000000 \n",
"16 0.017857 0.000000 0.000000 0.000000 \n",
"17 0.000000 0.000000 0.012048 0.012048 \n",
"18 0.000000 0.000000 0.020000 0.010000 \n",
"19 0.000000 0.000000 0.000000 0.000000 \n",
"20 0.010000 0.000000 0.010000 0.010000 \n",
"21 0.000000 0.000000 0.030000 0.010000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.027027 0.000000 \n",
"26 0.000000 0.022989 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.021053 0.000000 \n",
"29 0.010000 0.000000 0.030000 0.010000 \n",
"30 0.000000 0.210526 0.000000 0.000000 \n",
"31 0.000000 0.062500 0.000000 0.062500 \n",
"32 0.018868 0.000000 0.000000 0.000000 \n",
"33 0.000000 0.043478 0.043478 0.000000 \n",
"34 0.000000 0.041667 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.025000 0.025000 0.000000 \n",
"37 0.000000 0.000000 0.051282 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.062500 \n",
"\n",
" Harbor / Marina Health & Beauty Service Health Food Store \\\n",
"0 0.0000 0.000000 0.200000 \n",
"1 0.0000 0.000000 0.000000 \n",
"2 0.0000 0.000000 0.000000 \n",
"3 0.0000 0.000000 0.000000 \n",
"4 0.0000 0.000000 0.000000 \n",
"5 0.0000 0.000000 0.000000 \n",
"6 0.0000 0.000000 0.000000 \n",
"7 0.0000 0.000000 0.000000 \n",
"8 0.0000 0.000000 0.000000 \n",
"9 0.0000 0.066667 0.000000 \n",
"10 0.0000 0.000000 0.000000 \n",
"11 0.0000 0.000000 0.000000 \n",
"12 0.0000 0.012195 0.000000 \n",
"13 0.0000 0.000000 0.021277 \n",
"14 0.0000 0.000000 0.000000 \n",
"15 0.0000 0.000000 0.000000 \n",
"16 0.0000 0.000000 0.000000 \n",
"17 0.0000 0.000000 0.000000 \n",
"18 0.0000 0.000000 0.000000 \n",
"19 0.0000 0.000000 0.000000 \n",
"20 0.0000 0.000000 0.000000 \n",
"21 0.0000 0.000000 0.000000 \n",
"22 0.0000 0.000000 0.000000 \n",
"23 0.0000 0.000000 0.000000 \n",
"24 0.0000 0.000000 0.000000 \n",
"25 0.0000 0.000000 0.000000 \n",
"26 0.0000 0.000000 0.000000 \n",
"27 0.0625 0.000000 0.000000 \n",
"28 0.0000 0.000000 0.000000 \n",
"29 0.0000 0.000000 0.000000 \n",
"30 0.0000 0.000000 0.000000 \n",
"31 0.0000 0.000000 0.000000 \n",
"32 0.0000 0.000000 0.000000 \n",
"33 0.0000 0.000000 0.000000 \n",
"34 0.0000 0.000000 0.000000 \n",
"35 0.0000 0.000000 0.000000 \n",
"36 0.0000 0.000000 0.025000 \n",
"37 0.0000 0.000000 0.000000 \n",
"38 0.0000 0.000000 0.000000 \n",
"\n",
" Historic Site History Museum Hobby Shop Home Service Hookah Bar \\\n",
"0 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"1 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"2 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"3 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"4 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"5 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"6 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"7 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"8 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"9 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"10 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"11 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"12 0.000000 0.000000 0.012195 0.000000 0.00 \n",
"13 0.021277 0.000000 0.000000 0.000000 0.00 \n",
"14 0.000000 0.000000 0.000000 0.000000 0.01 \n",
"15 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"16 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"17 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"18 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"19 0.000000 0.020000 0.000000 0.000000 0.00 \n",
"20 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"21 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"22 0.000000 0.000000 0.000000 0.333333 0.00 \n",
"23 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"24 0.000000 0.045455 0.000000 0.000000 0.00 \n",
"25 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"26 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"28 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"29 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"30 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"31 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"32 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"33 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"34 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"35 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"36 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"37 0.000000 0.000000 0.025641 0.000000 0.00 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.00 \n",
"\n",
" Hospital Hostel Hotel Hotel Bar IT Services Ice Cream Shop \\\n",
"0 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.000000 0.00 0.047619 \n",
"2 0.000000 0.000000 0.000000 0.000000 0.00 0.055556 \n",
"3 0.000000 0.000000 0.000000 0.000000 0.00 0.023810 \n",
"4 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"5 0.000000 0.000000 0.125000 0.000000 0.00 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"12 0.000000 0.000000 0.024390 0.000000 0.00 0.012195 \n",
"13 0.000000 0.000000 0.021277 0.000000 0.00 0.021277 \n",
"14 0.000000 0.000000 0.010000 0.000000 0.00 0.020000 \n",
"15 0.000000 0.010000 0.030000 0.000000 0.00 0.000000 \n",
"16 0.000000 0.000000 0.017857 0.000000 0.00 0.000000 \n",
"17 0.000000 0.000000 0.012048 0.000000 0.00 0.048193 \n",
"18 0.000000 0.000000 0.020000 0.000000 0.00 0.010000 \n",
"19 0.000000 0.000000 0.040000 0.010000 0.01 0.010000 \n",
"20 0.000000 0.000000 0.070000 0.010000 0.00 0.010000 \n",
"21 0.000000 0.000000 0.050000 0.010000 0.00 0.010000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.00 0.333333 \n",
"23 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"26 0.011494 0.000000 0.000000 0.011494 0.00 0.011494 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"28 0.000000 0.010526 0.031579 0.000000 0.00 0.000000 \n",
"29 0.000000 0.000000 0.030000 0.000000 0.00 0.010000 \n",
"30 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.000000 0.00 0.018868 \n",
"33 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.000000 0.00 0.025000 \n",
"37 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"\n",
" Indian Restaurant Indie Movie Theater Intersection Italian Restaurant \\\n",
"0 0.000000 0.000 0.000000 0.000000 \n",
"1 0.000000 0.000 0.000000 0.071429 \n",
"2 0.000000 0.000 0.000000 0.055556 \n",
"3 0.000000 0.000 0.000000 0.047619 \n",
"4 0.000000 0.000 0.000000 0.000000 \n",
"5 0.000000 0.000 0.000000 0.000000 \n",
"6 0.000000 0.000 0.000000 0.000000 \n",
"7 0.031250 0.000 0.000000 0.062500 \n",
"8 0.000000 0.000 0.000000 0.000000 \n",
"9 0.000000 0.000 0.000000 0.000000 \n",
"10 0.000000 0.000 0.000000 0.000000 \n",
"11 0.021277 0.000 0.000000 0.042553 \n",
"12 0.012195 0.000 0.000000 0.000000 \n",
"13 0.000000 0.000 0.000000 0.000000 \n",
"14 0.000000 0.000 0.000000 0.020000 \n",
"15 0.010000 0.000 0.000000 0.030000 \n",
"16 0.000000 0.000 0.000000 0.017857 \n",
"17 0.012048 0.000 0.000000 0.048193 \n",
"18 0.010000 0.000 0.000000 0.000000 \n",
"19 0.010000 0.000 0.000000 0.040000 \n",
"20 0.000000 0.000 0.000000 0.030000 \n",
"21 0.000000 0.000 0.000000 0.030000 \n",
"22 0.000000 0.000 0.000000 0.000000 \n",
"23 0.000000 0.000 0.000000 0.000000 \n",
"24 0.045455 0.000 0.000000 0.000000 \n",
"25 0.000000 0.000 0.000000 0.027027 \n",
"26 0.000000 0.000 0.000000 0.000000 \n",
"27 0.000000 0.000 0.000000 0.000000 \n",
"28 0.000000 0.000 0.000000 0.031579 \n",
"29 0.000000 0.000 0.000000 0.020000 \n",
"30 0.000000 0.000 0.000000 0.052632 \n",
"31 0.000000 0.000 0.000000 0.000000 \n",
"32 0.000000 0.000 0.000000 0.018868 \n",
"33 0.000000 0.000 0.043478 0.043478 \n",
"34 0.000000 0.000 0.000000 0.041667 \n",
"35 0.000000 0.000 0.000000 0.071429 \n",
"36 0.000000 0.025 0.000000 0.050000 \n",
"37 0.000000 0.000 0.000000 0.025641 \n",
"38 0.000000 0.000 0.000000 0.000000 \n",
"\n",
" Japanese Restaurant Jazz Club Jewelry Store Juice Bar \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.023810 \n",
"2 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.021277 0.000000 0.021277 0.000000 \n",
"12 0.048780 0.000000 0.000000 0.012195 \n",
"13 0.000000 0.000000 0.000000 0.000000 \n",
"14 0.030000 0.000000 0.000000 0.010000 \n",
"15 0.010000 0.010000 0.000000 0.000000 \n",
"16 0.017857 0.017857 0.000000 0.000000 \n",
"17 0.036145 0.000000 0.000000 0.036145 \n",
"18 0.010000 0.010000 0.000000 0.010000 \n",
"19 0.010000 0.000000 0.000000 0.010000 \n",
"20 0.030000 0.000000 0.000000 0.000000 \n",
"21 0.020000 0.010000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.250000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.054054 0.000000 0.000000 0.000000 \n",
"26 0.011494 0.000000 0.000000 0.011494 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.031579 0.010526 0.000000 0.000000 \n",
"29 0.030000 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.018868 0.000000 0.000000 0.018868 \n",
"33 0.000000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.025000 \n",
"37 0.000000 0.000000 0.000000 0.025641 \n",
"38 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Korean Restaurant Lake Latin American Restaurant Light Rail Station \\\n",
"0 0.000000 0.00 0.00000 0.000000 \n",
"1 0.000000 0.00 0.00000 0.000000 \n",
"2 0.000000 0.00 0.00000 0.055556 \n",
"3 0.000000 0.00 0.02381 0.000000 \n",
"4 0.000000 0.00 0.00000 0.000000 \n",
"5 0.000000 0.00 0.00000 0.000000 \n",
"6 0.000000 0.00 0.00000 0.000000 \n",
"7 0.000000 0.00 0.00000 0.000000 \n",
"8 0.000000 0.00 0.00000 0.000000 \n",
"9 0.000000 0.00 0.00000 0.066667 \n",
"10 0.000000 0.00 0.00000 0.000000 \n",
"11 0.000000 0.00 0.00000 0.000000 \n",
"12 0.000000 0.00 0.00000 0.000000 \n",
"13 0.000000 0.00 0.00000 0.000000 \n",
"14 0.000000 0.01 0.00000 0.000000 \n",
"15 0.000000 0.00 0.01000 0.000000 \n",
"16 0.000000 0.00 0.00000 0.000000 \n",
"17 0.012048 0.00 0.00000 0.000000 \n",
"18 0.000000 0.00 0.01000 0.000000 \n",
"19 0.000000 0.01 0.00000 0.000000 \n",
"20 0.000000 0.00 0.00000 0.000000 \n",
"21 0.000000 0.00 0.01000 0.000000 \n",
"22 0.000000 0.00 0.00000 0.000000 \n",
"23 0.000000 0.00 0.00000 0.000000 \n",
"24 0.000000 0.00 0.00000 0.000000 \n",
"25 0.000000 0.00 0.00000 0.000000 \n",
"26 0.000000 0.00 0.00000 0.000000 \n",
"27 0.000000 0.00 0.00000 0.000000 \n",
"28 0.000000 0.00 0.00000 0.000000 \n",
"29 0.000000 0.00 0.00000 0.000000 \n",
"30 0.000000 0.00 0.00000 0.000000 \n",
"31 0.000000 0.00 0.00000 0.000000 \n",
"32 0.018868 0.00 0.00000 0.000000 \n",
"33 0.000000 0.00 0.00000 0.000000 \n",
"34 0.000000 0.00 0.00000 0.000000 \n",
"35 0.000000 0.00 0.00000 0.000000 \n",
"36 0.000000 0.00 0.02500 0.000000 \n",
"37 0.000000 0.00 0.00000 0.000000 \n",
"38 0.000000 0.00 0.00000 0.062500 \n",
"\n",
" Lingerie Store Liquor Store Lounge Market \\\n",
"0 0.00 0.000000 0.000000 0.000000 \n",
"1 0.00 0.023810 0.000000 0.000000 \n",
"2 0.00 0.055556 0.000000 0.000000 \n",
"3 0.00 0.000000 0.000000 0.000000 \n",
"4 0.00 0.000000 0.000000 0.000000 \n",
"5 0.00 0.000000 0.000000 0.000000 \n",
"6 0.00 0.000000 0.000000 0.000000 \n",
"7 0.00 0.000000 0.000000 0.000000 \n",
"8 0.00 0.000000 0.000000 0.000000 \n",
"9 0.00 0.066667 0.000000 0.000000 \n",
"10 0.00 0.000000 0.000000 0.000000 \n",
"11 0.00 0.021277 0.000000 0.042553 \n",
"12 0.00 0.000000 0.000000 0.000000 \n",
"13 0.00 0.000000 0.000000 0.000000 \n",
"14 0.01 0.000000 0.010000 0.000000 \n",
"15 0.02 0.000000 0.000000 0.000000 \n",
"16 0.00 0.017857 0.000000 0.000000 \n",
"17 0.00 0.000000 0.000000 0.000000 \n",
"18 0.01 0.000000 0.010000 0.000000 \n",
"19 0.00 0.000000 0.010000 0.000000 \n",
"20 0.00 0.000000 0.020000 0.000000 \n",
"21 0.00 0.000000 0.000000 0.000000 \n",
"22 0.00 0.000000 0.000000 0.000000 \n",
"23 0.00 0.000000 0.000000 0.000000 \n",
"24 0.00 0.045455 0.000000 0.000000 \n",
"25 0.00 0.000000 0.000000 0.000000 \n",
"26 0.00 0.000000 0.000000 0.000000 \n",
"27 0.00 0.000000 0.000000 0.000000 \n",
"28 0.00 0.010526 0.021053 0.000000 \n",
"29 0.00 0.000000 0.010000 0.000000 \n",
"30 0.00 0.000000 0.000000 0.000000 \n",
"31 0.00 0.000000 0.000000 0.000000 \n",
"32 0.00 0.000000 0.000000 0.000000 \n",
"33 0.00 0.000000 0.000000 0.000000 \n",
"34 0.00 0.000000 0.000000 0.000000 \n",
"35 0.00 0.000000 0.000000 0.000000 \n",
"36 0.00 0.000000 0.000000 0.000000 \n",
"37 0.00 0.000000 0.000000 0.000000 \n",
"38 0.00 0.000000 0.000000 0.000000 \n",
"\n",
" Mediterranean Restaurant Men's Store Metro Station Mexican Restaurant \\\n",
"0 0.00000 0.000000 0.000000 0.000000 \n",
"1 0.00000 0.000000 0.000000 0.000000 \n",
"2 0.00000 0.000000 0.000000 0.000000 \n",
"3 0.00000 0.000000 0.000000 0.000000 \n",
"4 0.00000 0.000000 0.000000 0.000000 \n",
"5 0.00000 0.000000 0.000000 0.000000 \n",
"6 0.00000 0.000000 0.000000 0.047619 \n",
"7 0.00000 0.000000 0.000000 0.000000 \n",
"8 0.00000 0.000000 0.000000 0.000000 \n",
"9 0.00000 0.000000 0.000000 0.000000 \n",
"10 0.00000 0.000000 0.000000 0.000000 \n",
"11 0.00000 0.000000 0.000000 0.000000 \n",
"12 0.02439 0.024390 0.000000 0.012195 \n",
"13 0.00000 0.000000 0.000000 0.042553 \n",
"14 0.00000 0.000000 0.000000 0.010000 \n",
"15 0.00000 0.000000 0.000000 0.000000 \n",
"16 0.00000 0.000000 0.000000 0.000000 \n",
"17 0.00000 0.000000 0.012048 0.000000 \n",
"18 0.01000 0.000000 0.000000 0.000000 \n",
"19 0.00000 0.000000 0.000000 0.010000 \n",
"20 0.00000 0.000000 0.000000 0.010000 \n",
"21 0.00000 0.000000 0.000000 0.000000 \n",
"22 0.00000 0.000000 0.000000 0.000000 \n",
"23 0.00000 0.000000 0.000000 0.250000 \n",
"24 0.00000 0.000000 0.000000 0.000000 \n",
"25 0.00000 0.000000 0.000000 0.000000 \n",
"26 0.00000 0.000000 0.000000 0.034483 \n",
"27 0.00000 0.000000 0.000000 0.000000 \n",
"28 0.00000 0.000000 0.000000 0.000000 \n",
"29 0.01000 0.000000 0.000000 0.000000 \n",
"30 0.00000 0.000000 0.000000 0.000000 \n",
"31 0.00000 0.000000 0.000000 0.000000 \n",
"32 0.00000 0.037736 0.000000 0.018868 \n",
"33 0.00000 0.000000 0.000000 0.000000 \n",
"34 0.00000 0.000000 0.000000 0.083333 \n",
"35 0.00000 0.000000 0.000000 0.000000 \n",
"36 0.00000 0.000000 0.000000 0.000000 \n",
"37 0.00000 0.000000 0.000000 0.025641 \n",
"38 0.00000 0.000000 0.000000 0.000000 \n",
"\n",
" Middle Eastern Restaurant Miscellaneous Shop Modern European Restaurant \\\n",
"0 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.000000 0.000000 \n",
"3 0.023810 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.000000 0.000000 \n",
"13 0.000000 0.000000 0.000000 \n",
"14 0.020000 0.010000 0.010000 \n",
"15 0.010000 0.000000 0.000000 \n",
"16 0.000000 0.000000 0.000000 \n",
"17 0.000000 0.012048 0.012048 \n",
"18 0.000000 0.000000 0.000000 \n",
"19 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.000000 \n",
"21 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 \n",
"24 0.045455 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 \n",
"26 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.000000 \n",
"29 0.000000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 \n",
"31 0.062500 0.000000 0.000000 \n",
"32 0.000000 0.018868 0.000000 \n",
"33 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 \n",
"35 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 \n",
"\n",
" Molecular Gastronomy Restaurant Monument / Landmark Movie Theater \\\n",
"0 0.000000 0.00 0.000000 \n",
"1 0.000000 0.00 0.000000 \n",
"2 0.000000 0.00 0.055556 \n",
"3 0.000000 0.00 0.000000 \n",
"4 0.000000 0.00 0.000000 \n",
"5 0.000000 0.00 0.000000 \n",
"6 0.000000 0.00 0.000000 \n",
"7 0.000000 0.00 0.000000 \n",
"8 0.000000 0.00 0.000000 \n",
"9 0.000000 0.00 0.000000 \n",
"10 0.000000 0.00 0.000000 \n",
"11 0.000000 0.00 0.000000 \n",
"12 0.000000 0.00 0.000000 \n",
"13 0.000000 0.00 0.000000 \n",
"14 0.000000 0.00 0.010000 \n",
"15 0.000000 0.00 0.010000 \n",
"16 0.000000 0.00 0.000000 \n",
"17 0.000000 0.00 0.000000 \n",
"18 0.000000 0.01 0.000000 \n",
"19 0.000000 0.01 0.000000 \n",
"20 0.000000 0.00 0.000000 \n",
"21 0.000000 0.00 0.000000 \n",
"22 0.000000 0.00 0.000000 \n",
"23 0.000000 0.00 0.000000 \n",
"24 0.000000 0.00 0.000000 \n",
"25 0.000000 0.00 0.000000 \n",
"26 0.000000 0.00 0.000000 \n",
"27 0.000000 0.00 0.000000 \n",
"28 0.010526 0.00 0.010526 \n",
"29 0.000000 0.01 0.000000 \n",
"30 0.000000 0.00 0.000000 \n",
"31 0.000000 0.00 0.000000 \n",
"32 0.000000 0.00 0.000000 \n",
"33 0.000000 0.00 0.000000 \n",
"34 0.000000 0.00 0.000000 \n",
"35 0.000000 0.00 0.071429 \n",
"36 0.000000 0.00 0.000000 \n",
"37 0.000000 0.00 0.000000 \n",
"38 0.000000 0.00 0.000000 \n",
"\n",
" Museum Music Store Music Venue Neighborhood New American Restaurant \\\n",
"0 0.000000 0.00000 0.000000 0.20000 0.000000 \n",
"1 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"2 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"3 0.000000 0.02381 0.000000 0.02381 0.000000 \n",
"4 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"5 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"6 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"7 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"8 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"9 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"10 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"11 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"12 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"13 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"14 0.000000 0.00000 0.010000 0.00000 0.000000 \n",
"15 0.000000 0.00000 0.000000 0.00000 0.010000 \n",
"16 0.017857 0.00000 0.000000 0.00000 0.000000 \n",
"17 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"18 0.000000 0.00000 0.000000 0.01000 0.010000 \n",
"19 0.000000 0.00000 0.020000 0.01000 0.010000 \n",
"20 0.010000 0.00000 0.000000 0.00000 0.010000 \n",
"21 0.010000 0.00000 0.000000 0.00000 0.010000 \n",
"22 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"23 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"24 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"25 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"26 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"27 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"28 0.010526 0.00000 0.000000 0.00000 0.000000 \n",
"29 0.010000 0.00000 0.000000 0.00000 0.010000 \n",
"30 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"31 0.000000 0.00000 0.062500 0.00000 0.000000 \n",
"32 0.000000 0.00000 0.018868 0.00000 0.018868 \n",
"33 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"34 0.000000 0.00000 0.041667 0.00000 0.000000 \n",
"35 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"36 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"37 0.000000 0.00000 0.025641 0.00000 0.000000 \n",
"38 0.000000 0.00000 0.000000 0.00000 0.000000 \n",
"\n",
" Nightclub Noodle House Office Opera House Optical Shop \\\n",
"0 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"12 0.012195 0.000000 0.000000 0.00 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"14 0.000000 0.000000 0.010000 0.00 0.000000 \n",
"15 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"16 0.017857 0.000000 0.000000 0.00 0.000000 \n",
"17 0.000000 0.000000 0.012048 0.00 0.000000 \n",
"18 0.000000 0.010000 0.010000 0.01 0.000000 \n",
"19 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"20 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"21 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"25 0.027027 0.027027 0.000000 0.00 0.000000 \n",
"26 0.000000 0.011494 0.000000 0.00 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"28 0.000000 0.000000 0.000000 0.00 0.010526 \n",
"29 0.000000 0.010000 0.000000 0.01 0.000000 \n",
"30 0.052632 0.000000 0.000000 0.00 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"33 0.086957 0.000000 0.000000 0.00 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"37 0.025641 0.000000 0.000000 0.00 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.00 0.000000 \n",
"\n",
" Organic Grocery Other Great Outdoors Park Performing Arts Venue \\\n",
"0 0.000000 0.00 0.000000 0.000000 \n",
"1 0.000000 0.00 0.000000 0.000000 \n",
"2 0.000000 0.00 0.055556 0.000000 \n",
"3 0.000000 0.00 0.023810 0.000000 \n",
"4 0.000000 0.00 0.333333 0.000000 \n",
"5 0.000000 0.00 0.125000 0.000000 \n",
"6 0.000000 0.00 0.047619 0.000000 \n",
"7 0.000000 0.00 0.031250 0.000000 \n",
"8 0.000000 0.00 0.000000 0.000000 \n",
"9 0.000000 0.00 0.000000 0.000000 \n",
"10 0.000000 0.00 0.500000 0.000000 \n",
"11 0.000000 0.00 0.042553 0.000000 \n",
"12 0.000000 0.00 0.012195 0.000000 \n",
"13 0.000000 0.00 0.063830 0.021277 \n",
"14 0.000000 0.01 0.000000 0.000000 \n",
"15 0.000000 0.00 0.020000 0.010000 \n",
"16 0.000000 0.00 0.017857 0.000000 \n",
"17 0.000000 0.00 0.012048 0.000000 \n",
"18 0.000000 0.00 0.000000 0.000000 \n",
"19 0.000000 0.00 0.020000 0.010000 \n",
"20 0.000000 0.00 0.000000 0.000000 \n",
"21 0.000000 0.00 0.010000 0.000000 \n",
"22 0.000000 0.00 0.000000 0.000000 \n",
"23 0.000000 0.00 0.000000 0.000000 \n",
"24 0.000000 0.00 0.045455 0.000000 \n",
"25 0.000000 0.00 0.000000 0.000000 \n",
"26 0.011494 0.00 0.011494 0.000000 \n",
"27 0.000000 0.00 0.000000 0.000000 \n",
"28 0.000000 0.00 0.021053 0.000000 \n",
"29 0.000000 0.00 0.000000 0.000000 \n",
"30 0.000000 0.00 0.105263 0.000000 \n",
"31 0.000000 0.00 0.062500 0.000000 \n",
"32 0.000000 0.00 0.018868 0.000000 \n",
"33 0.000000 0.00 0.000000 0.043478 \n",
"34 0.000000 0.00 0.041667 0.000000 \n",
"35 0.000000 0.00 0.000000 0.000000 \n",
"36 0.000000 0.00 0.000000 0.000000 \n",
"37 0.000000 0.00 0.051282 0.000000 \n",
"38 0.000000 0.00 0.062500 0.000000 \n",
"\n",
" Pet Store Pharmacy Pizza Place Plane Playground Plaza Poke Place \\\n",
"0 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"1 0.000000 0.000000 0.023810 0.0000 0.000000 0.00 0.000000 \n",
"2 0.055556 0.000000 0.055556 0.0000 0.000000 0.00 0.000000 \n",
"3 0.023810 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"7 0.000000 0.031250 0.093750 0.0000 0.000000 0.00 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"9 0.000000 0.000000 0.066667 0.0000 0.000000 0.00 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.0000 0.250000 0.00 0.000000 \n",
"11 0.021277 0.021277 0.042553 0.0000 0.021277 0.00 0.000000 \n",
"12 0.000000 0.000000 0.012195 0.0000 0.000000 0.00 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"14 0.000000 0.000000 0.020000 0.0000 0.000000 0.02 0.000000 \n",
"15 0.000000 0.010000 0.000000 0.0000 0.000000 0.00 0.010000 \n",
"16 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"17 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.012048 \n",
"18 0.000000 0.000000 0.020000 0.0000 0.000000 0.01 0.010000 \n",
"19 0.000000 0.000000 0.020000 0.0000 0.000000 0.02 0.000000 \n",
"20 0.000000 0.000000 0.010000 0.0000 0.000000 0.01 0.000000 \n",
"21 0.000000 0.000000 0.010000 0.0000 0.000000 0.00 0.010000 \n",
"22 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"24 0.000000 0.045455 0.045455 0.0000 0.000000 0.00 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"26 0.000000 0.011494 0.011494 0.0000 0.000000 0.00 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.0625 0.000000 0.00 0.000000 \n",
"28 0.000000 0.000000 0.010526 0.0000 0.000000 0.00 0.010526 \n",
"29 0.000000 0.000000 0.020000 0.0000 0.000000 0.01 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"31 0.000000 0.125000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"32 0.000000 0.000000 0.037736 0.0000 0.000000 0.00 0.000000 \n",
"33 0.043478 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"36 0.000000 0.000000 0.075000 0.0000 0.000000 0.00 0.000000 \n",
"37 0.000000 0.000000 0.000000 0.0000 0.000000 0.00 0.000000 \n",
"38 0.000000 0.000000 0.062500 0.0000 0.000000 0.00 0.000000 \n",
"\n",
" Portuguese Restaurant Post Office Poutine Place Pub \\\n",
"0 0.000000 0.000 0.000000 0.200000 \n",
"1 0.000000 0.000 0.000000 0.023810 \n",
"2 0.000000 0.000 0.000000 0.055556 \n",
"3 0.000000 0.000 0.000000 0.000000 \n",
"4 0.000000 0.000 0.000000 0.000000 \n",
"5 0.000000 0.000 0.000000 0.000000 \n",
"6 0.000000 0.000 0.000000 0.000000 \n",
"7 0.000000 0.000 0.000000 0.000000 \n",
"8 0.000000 0.000 0.000000 0.000000 \n",
"9 0.000000 0.000 0.000000 0.133333 \n",
"10 0.000000 0.000 0.000000 0.000000 \n",
"11 0.000000 0.000 0.000000 0.042553 \n",
"12 0.000000 0.000 0.000000 0.024390 \n",
"13 0.000000 0.000 0.000000 0.063830 \n",
"14 0.000000 0.000 0.000000 0.010000 \n",
"15 0.000000 0.000 0.000000 0.000000 \n",
"16 0.000000 0.000 0.000000 0.000000 \n",
"17 0.012048 0.000 0.000000 0.000000 \n",
"18 0.000000 0.000 0.000000 0.000000 \n",
"19 0.000000 0.000 0.000000 0.000000 \n",
"20 0.000000 0.000 0.000000 0.010000 \n",
"21 0.000000 0.000 0.000000 0.010000 \n",
"22 0.000000 0.000 0.000000 0.000000 \n",
"23 0.000000 0.000 0.000000 0.000000 \n",
"24 0.000000 0.000 0.000000 0.045455 \n",
"25 0.000000 0.000 0.027027 0.027027 \n",
"26 0.000000 0.000 0.011494 0.000000 \n",
"27 0.000000 0.000 0.000000 0.000000 \n",
"28 0.000000 0.000 0.000000 0.010526 \n",
"29 0.000000 0.000 0.000000 0.010000 \n",
"30 0.000000 0.000 0.000000 0.000000 \n",
"31 0.000000 0.000 0.000000 0.000000 \n",
"32 0.018868 0.000 0.000000 0.000000 \n",
"33 0.000000 0.000 0.000000 0.000000 \n",
"34 0.000000 0.000 0.000000 0.000000 \n",
"35 0.000000 0.000 0.000000 0.000000 \n",
"36 0.000000 0.025 0.000000 0.025000 \n",
"37 0.025641 0.000 0.000000 0.000000 \n",
"38 0.000000 0.000 0.000000 0.000000 \n",
"\n",
" Ramen Restaurant Record Shop Recording Studio Rental Car Location \\\n",
"0 0.000000 0.000000 0.0000 0.000000 \n",
"1 0.000000 0.000000 0.0000 0.000000 \n",
"2 0.000000 0.000000 0.0000 0.000000 \n",
"3 0.000000 0.000000 0.0000 0.000000 \n",
"4 0.000000 0.000000 0.0000 0.000000 \n",
"5 0.000000 0.000000 0.0000 0.000000 \n",
"6 0.000000 0.000000 0.0000 0.047619 \n",
"7 0.000000 0.000000 0.0000 0.000000 \n",
"8 0.000000 0.000000 0.0000 0.000000 \n",
"9 0.000000 0.000000 0.0000 0.000000 \n",
"10 0.000000 0.000000 0.0000 0.000000 \n",
"11 0.000000 0.000000 0.0000 0.000000 \n",
"12 0.012195 0.000000 0.0000 0.000000 \n",
"13 0.000000 0.000000 0.0000 0.000000 \n",
"14 0.020000 0.000000 0.0000 0.000000 \n",
"15 0.000000 0.000000 0.0000 0.000000 \n",
"16 0.000000 0.000000 0.0000 0.000000 \n",
"17 0.012048 0.000000 0.0000 0.000000 \n",
"18 0.010000 0.000000 0.0000 0.000000 \n",
"19 0.000000 0.000000 0.0000 0.000000 \n",
"20 0.000000 0.000000 0.0000 0.000000 \n",
"21 0.000000 0.000000 0.0000 0.000000 \n",
"22 0.000000 0.000000 0.0000 0.000000 \n",
"23 0.000000 0.000000 0.0000 0.000000 \n",
"24 0.000000 0.000000 0.0000 0.000000 \n",
"25 0.000000 0.000000 0.0000 0.000000 \n",
"26 0.000000 0.011494 0.0000 0.000000 \n",
"27 0.000000 0.000000 0.0000 0.062500 \n",
"28 0.000000 0.000000 0.0000 0.000000 \n",
"29 0.000000 0.000000 0.0000 0.000000 \n",
"30 0.000000 0.000000 0.0000 0.000000 \n",
"31 0.000000 0.000000 0.0625 0.000000 \n",
"32 0.000000 0.018868 0.0000 0.000000 \n",
"33 0.000000 0.000000 0.0000 0.000000 \n",
"34 0.000000 0.000000 0.0000 0.000000 \n",
"35 0.000000 0.000000 0.0000 0.000000 \n",
"36 0.000000 0.000000 0.0000 0.000000 \n",
"37 0.000000 0.000000 0.0000 0.000000 \n",
"38 0.000000 0.000000 0.0000 0.000000 \n",
"\n",
" Restaurant Roof Deck Sake Bar Salad Place Salon / Barbershop \\\n",
"0 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"1 0.047619 0.00 0.000000 0.000000 0.000000 \n",
"2 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"6 0.047619 0.00 0.000000 0.000000 0.047619 \n",
"7 0.031250 0.00 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"9 0.066667 0.00 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"11 0.042553 0.00 0.000000 0.000000 0.000000 \n",
"12 0.036585 0.00 0.012195 0.000000 0.012195 \n",
"13 0.042553 0.00 0.000000 0.000000 0.000000 \n",
"14 0.020000 0.00 0.000000 0.000000 0.000000 \n",
"15 0.050000 0.00 0.000000 0.000000 0.010000 \n",
"16 0.017857 0.00 0.000000 0.000000 0.000000 \n",
"17 0.000000 0.00 0.000000 0.024096 0.000000 \n",
"18 0.030000 0.00 0.000000 0.010000 0.010000 \n",
"19 0.030000 0.01 0.000000 0.010000 0.000000 \n",
"20 0.040000 0.00 0.000000 0.020000 0.000000 \n",
"21 0.050000 0.00 0.000000 0.010000 0.000000 \n",
"22 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"25 0.054054 0.00 0.000000 0.000000 0.000000 \n",
"26 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"28 0.031579 0.00 0.000000 0.000000 0.000000 \n",
"29 0.040000 0.00 0.000000 0.010000 0.000000 \n",
"30 0.052632 0.00 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"32 0.056604 0.00 0.000000 0.000000 0.000000 \n",
"33 0.043478 0.00 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"35 0.071429 0.00 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.00 0.000000 0.000000 0.000000 \n",
"37 0.025641 0.00 0.000000 0.025641 0.000000 \n",
"38 0.062500 0.00 0.000000 0.000000 0.000000 \n",
"\n",
" Sandwich Place Scenic Lookout Sculpture Garden Seafood Restaurant \\\n",
"0 0.000000 0.00 0.000000 0.000000 \n",
"1 0.000000 0.00 0.000000 0.000000 \n",
"2 0.055556 0.00 0.000000 0.000000 \n",
"3 0.023810 0.00 0.000000 0.023810 \n",
"4 0.000000 0.00 0.000000 0.000000 \n",
"5 0.125000 0.00 0.000000 0.000000 \n",
"6 0.000000 0.00 0.000000 0.000000 \n",
"7 0.093750 0.00 0.000000 0.031250 \n",
"8 0.000000 0.00 0.000000 0.000000 \n",
"9 0.000000 0.00 0.000000 0.000000 \n",
"10 0.000000 0.00 0.000000 0.000000 \n",
"11 0.021277 0.00 0.000000 0.000000 \n",
"12 0.000000 0.00 0.012195 0.012195 \n",
"13 0.000000 0.00 0.000000 0.000000 \n",
"14 0.010000 0.00 0.000000 0.010000 \n",
"15 0.000000 0.00 0.000000 0.020000 \n",
"16 0.000000 0.00 0.000000 0.035714 \n",
"17 0.036145 0.00 0.000000 0.012048 \n",
"18 0.000000 0.00 0.000000 0.020000 \n",
"19 0.010000 0.03 0.000000 0.010000 \n",
"20 0.010000 0.00 0.000000 0.030000 \n",
"21 0.010000 0.00 0.000000 0.030000 \n",
"22 0.000000 0.00 0.000000 0.000000 \n",
"23 0.000000 0.00 0.000000 0.000000 \n",
"24 0.136364 0.00 0.000000 0.000000 \n",
"25 0.054054 0.00 0.000000 0.000000 \n",
"26 0.000000 0.00 0.000000 0.000000 \n",
"27 0.000000 0.00 0.062500 0.000000 \n",
"28 0.010526 0.00 0.000000 0.031579 \n",
"29 0.010000 0.00 0.000000 0.030000 \n",
"30 0.000000 0.00 0.000000 0.000000 \n",
"31 0.000000 0.00 0.000000 0.000000 \n",
"32 0.000000 0.00 0.000000 0.000000 \n",
"33 0.000000 0.00 0.000000 0.000000 \n",
"34 0.000000 0.00 0.000000 0.000000 \n",
"35 0.000000 0.00 0.000000 0.000000 \n",
"36 0.025000 0.00 0.000000 0.000000 \n",
"37 0.025641 0.00 0.000000 0.025641 \n",
"38 0.000000 0.00 0.000000 0.000000 \n",
"\n",
" Shoe Store Shopping Mall Skate Park Skating Rink Smoke Shop \\\n",
"0 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"1 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"2 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"3 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"4 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"5 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"6 0.047619 0.000000 0.0000 0.00 0.000000 \n",
"7 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"8 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"9 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"10 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"11 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"12 0.000000 0.000000 0.0000 0.00 0.012195 \n",
"13 0.021277 0.000000 0.0000 0.00 0.000000 \n",
"14 0.000000 0.010000 0.0000 0.00 0.010000 \n",
"15 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"16 0.000000 0.017857 0.0000 0.00 0.000000 \n",
"17 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"18 0.000000 0.010000 0.0000 0.00 0.010000 \n",
"19 0.000000 0.000000 0.0000 0.01 0.000000 \n",
"20 0.000000 0.010000 0.0000 0.00 0.000000 \n",
"21 0.000000 0.010000 0.0000 0.00 0.000000 \n",
"22 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"23 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"24 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"25 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"26 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"27 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"28 0.000000 0.010526 0.0000 0.00 0.000000 \n",
"29 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"30 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"31 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"32 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"33 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"34 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"35 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"36 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"37 0.000000 0.000000 0.0000 0.00 0.000000 \n",
"38 0.000000 0.000000 0.0625 0.00 0.062500 \n",
"\n",
" Snack Place Southern / Soul Food Restaurant Spa Speakeasy \\\n",
"0 0.000000 0.000000 0.000000 0.000000 \n",
"1 0.000000 0.000000 0.023810 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.047619 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.000000 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.021277 0.000000 0.000000 0.000000 \n",
"12 0.000000 0.000000 0.000000 0.000000 \n",
"13 0.000000 0.000000 0.021277 0.000000 \n",
"14 0.000000 0.000000 0.010000 0.000000 \n",
"15 0.000000 0.000000 0.000000 0.000000 \n",
"16 0.000000 0.000000 0.000000 0.000000 \n",
"17 0.000000 0.000000 0.024096 0.000000 \n",
"18 0.000000 0.000000 0.000000 0.010000 \n",
"19 0.000000 0.000000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.010000 0.010000 \n",
"21 0.000000 0.000000 0.000000 0.000000 \n",
"22 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.000000 \n",
"26 0.011494 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.000000 0.000000 \n",
"29 0.000000 0.000000 0.000000 0.010000 \n",
"30 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.000000 \n",
"32 0.000000 0.018868 0.000000 0.000000 \n",
"33 0.000000 0.000000 0.000000 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.041667 \n",
"35 0.000000 0.000000 0.000000 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.000000 \n",
"37 0.000000 0.000000 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.062500 0.000000 \n",
"\n",
" Sporting Goods Shop Sports Bar Stadium Stationery Store Steakhouse \\\n",
"0 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"1 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"2 0.000000 0.000000 0.000000 0.00000 0.055556 \n",
"3 0.000000 0.000000 0.000000 0.02381 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"6 0.047619 0.000000 0.000000 0.00000 0.000000 \n",
"7 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"9 0.000000 0.066667 0.000000 0.00000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"12 0.000000 0.012195 0.000000 0.00000 0.012195 \n",
"13 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"14 0.000000 0.000000 0.000000 0.00000 0.010000 \n",
"15 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"16 0.017857 0.000000 0.000000 0.00000 0.035714 \n",
"17 0.000000 0.000000 0.000000 0.00000 0.012048 \n",
"18 0.000000 0.000000 0.000000 0.00000 0.040000 \n",
"19 0.030000 0.010000 0.000000 0.00000 0.010000 \n",
"20 0.010000 0.000000 0.000000 0.00000 0.040000 \n",
"21 0.010000 0.000000 0.000000 0.00000 0.030000 \n",
"22 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"23 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"25 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"26 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"28 0.010526 0.000000 0.000000 0.00000 0.010526 \n",
"29 0.000000 0.000000 0.000000 0.00000 0.040000 \n",
"30 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"31 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"32 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"33 0.000000 0.000000 0.043478 0.00000 0.000000 \n",
"34 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"35 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"36 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"37 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.00000 0.000000 \n",
"\n",
" Strip Club Supermarket Sushi Restaurant Swim School Tailor Shop \\\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 0.055556 0.000000 0.000000 \n",
"3 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"4 0.000000 0.000000 0.000000 0.333333 0.000000 \n",
"5 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"6 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"7 0.000000 0.000000 0.062500 0.000000 0.000000 \n",
"8 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"9 0.000000 0.066667 0.066667 0.000000 0.000000 \n",
"10 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"11 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"12 0.012195 0.000000 0.048780 0.000000 0.000000 \n",
"13 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"14 0.000000 0.000000 0.010000 0.000000 0.000000 \n",
"15 0.000000 0.000000 0.000000 0.000000 0.010000 \n",
"16 0.000000 0.000000 0.000000 0.000000 0.017857 \n",
"17 0.000000 0.000000 0.012048 0.000000 0.000000 \n",
"18 0.000000 0.000000 0.020000 0.000000 0.000000 \n",
"19 0.000000 0.010000 0.010000 0.000000 0.000000 \n",
"20 0.000000 0.000000 0.000000 0.000000 0.010000 \n",
"21 0.000000 0.000000 0.000000 0.000000 0.010000 \n",
"22 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"23 0.000000 0.000000 0.250000 0.000000 0.000000 \n",
"24 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25 0.000000 0.000000 0.027027 0.000000 0.000000 \n",
"26 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"27 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"28 0.000000 0.000000 0.000000 0.000000 0.010526 \n",
"29 0.000000 0.000000 0.010000 0.000000 0.000000 \n",
"30 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"31 0.000000 0.062500 0.000000 0.000000 0.000000 \n",
"32 0.000000 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 0.000000 \n",
"36 0.000000 0.000000 0.050000 0.000000 0.000000 \n",
"37 0.000000 0.000000 0.025641 0.000000 0.000000 \n",
"38 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"\n",
" Taiwanese Restaurant Tanning Salon Tea Room Tennis Court \\\n",
"0 0.000000 0.00 0.000000 0.0 \n",
"1 0.000000 0.00 0.000000 0.0 \n",
"2 0.000000 0.00 0.000000 0.0 \n",
"3 0.000000 0.00 0.000000 0.0 \n",
"4 0.000000 0.00 0.000000 0.0 \n",
"5 0.000000 0.00 0.000000 0.0 \n",
"6 0.000000 0.00 0.000000 0.0 \n",
"7 0.000000 0.00 0.000000 0.0 \n",
"8 0.000000 0.00 0.000000 1.0 \n",
"9 0.000000 0.00 0.000000 0.0 \n",
"10 0.000000 0.00 0.000000 0.0 \n",
"11 0.021277 0.00 0.000000 0.0 \n",
"12 0.000000 0.00 0.000000 0.0 \n",
"13 0.000000 0.00 0.000000 0.0 \n",
"14 0.000000 0.01 0.020000 0.0 \n",
"15 0.000000 0.00 0.000000 0.0 \n",
"16 0.000000 0.00 0.017857 0.0 \n",
"17 0.000000 0.00 0.012048 0.0 \n",
"18 0.000000 0.00 0.000000 0.0 \n",
"19 0.000000 0.00 0.010000 0.0 \n",
"20 0.000000 0.00 0.020000 0.0 \n",
"21 0.000000 0.00 0.010000 0.0 \n",
"22 0.000000 0.00 0.000000 0.0 \n",
"23 0.000000 0.00 0.000000 0.0 \n",
"24 0.000000 0.00 0.000000 0.0 \n",
"25 0.000000 0.00 0.000000 0.0 \n",
"26 0.000000 0.00 0.011494 0.0 \n",
"27 0.000000 0.00 0.000000 0.0 \n",
"28 0.000000 0.00 0.010526 0.0 \n",
"29 0.000000 0.00 0.020000 0.0 \n",
"30 0.000000 0.00 0.000000 0.0 \n",
"31 0.000000 0.00 0.000000 0.0 \n",
"32 0.000000 0.00 0.000000 0.0 \n",
"33 0.000000 0.00 0.000000 0.0 \n",
"34 0.000000 0.00 0.000000 0.0 \n",
"35 0.000000 0.00 0.000000 0.0 \n",
"36 0.000000 0.00 0.025000 0.0 \n",
"37 0.000000 0.00 0.000000 0.0 \n",
"38 0.000000 0.00 0.000000 0.0 \n",
"\n",
" Thai Restaurant Theater Theme Restaurant Toy / Game Store Trail \\\n",
"0 0.000000 0.000000 0.000000 0.00000 0.20000 \n",
"1 0.000000 0.000000 0.000000 0.00000 0.02381 \n",
"2 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"3 0.023810 0.000000 0.000000 0.00000 0.00000 \n",
"4 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"5 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"6 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"7 0.031250 0.000000 0.000000 0.03125 0.00000 \n",
"8 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"9 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"10 0.000000 0.000000 0.000000 0.00000 0.25000 \n",
"11 0.021277 0.000000 0.000000 0.00000 0.00000 \n",
"12 0.012195 0.012195 0.012195 0.00000 0.00000 \n",
"13 0.000000 0.021277 0.000000 0.00000 0.00000 \n",
"14 0.010000 0.020000 0.000000 0.01000 0.00000 \n",
"15 0.010000 0.010000 0.000000 0.00000 0.00000 \n",
"16 0.017857 0.000000 0.000000 0.00000 0.00000 \n",
"17 0.012048 0.000000 0.000000 0.00000 0.00000 \n",
"18 0.030000 0.010000 0.000000 0.00000 0.00000 \n",
"19 0.000000 0.010000 0.000000 0.00000 0.00000 \n",
"20 0.010000 0.010000 0.000000 0.00000 0.00000 \n",
"21 0.020000 0.000000 0.000000 0.00000 0.00000 \n",
"22 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"23 0.000000 0.000000 0.000000 0.00000 0.25000 \n",
"24 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"25 0.000000 0.027027 0.000000 0.00000 0.00000 \n",
"26 0.011494 0.000000 0.000000 0.00000 0.00000 \n",
"27 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"28 0.010526 0.000000 0.000000 0.00000 0.00000 \n",
"29 0.010000 0.010000 0.000000 0.00000 0.00000 \n",
"30 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"31 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"32 0.000000 0.018868 0.000000 0.00000 0.00000 \n",
"33 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"34 0.083333 0.000000 0.000000 0.00000 0.00000 \n",
"35 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"36 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"37 0.000000 0.025641 0.000000 0.00000 0.00000 \n",
"38 0.000000 0.000000 0.000000 0.00000 0.00000 \n",
"\n",
" Train Station Vegetarian / Vegan Restaurant Video Game Store \\\n",
"0 0.00 0.000000 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 0.000000 0.000000 \n",
"5 0.00 0.000000 0.000000 \n",
"6 0.00 0.000000 0.000000 \n",
"7 0.00 0.000000 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 0.00 0.000000 0.000000 \n",
"12 0.00 0.000000 0.000000 \n",
"13 0.00 0.000000 0.000000 \n",
"14 0.00 0.000000 0.010000 \n",
"15 0.00 0.010000 0.000000 \n",
"16 0.00 0.017857 0.000000 \n",
"17 0.00 0.012048 0.000000 \n",
"18 0.00 0.020000 0.000000 \n",
"19 0.01 0.010000 0.000000 \n",
"20 0.01 0.010000 0.000000 \n",
"21 0.00 0.020000 0.000000 \n",
"22 0.00 0.000000 0.000000 \n",
"23 0.00 0.000000 0.000000 \n",
"24 0.00 0.045455 0.000000 \n",
"25 0.00 0.000000 0.027027 \n",
"26 0.00 0.045977 0.000000 \n",
"27 0.00 0.000000 0.000000 \n",
"28 0.00 0.010526 0.000000 \n",
"29 0.01 0.010000 0.000000 \n",
"30 0.00 0.000000 0.000000 \n",
"31 0.00 0.000000 0.000000 \n",
"32 0.00 0.018868 0.000000 \n",
"33 0.00 0.000000 0.000000 \n",
"34 0.00 0.000000 0.000000 \n",
"35 0.00 0.000000 0.000000 \n",
"36 0.00 0.025000 0.000000 \n",
"37 0.00 0.000000 0.000000 \n",
"38 0.00 0.000000 0.000000 \n",
"\n",
" Vietnamese Restaurant Wine Bar Women's Store Yoga Studio \n",
"0 0.000000 0.000000 0.00 0.000000 \n",
"1 0.000000 0.000000 0.00 0.023810 \n",
"2 0.000000 0.000000 0.00 0.000000 \n",
"3 0.000000 0.023810 0.00 0.023810 \n",
"4 0.000000 0.000000 0.00 0.000000 \n",
"5 0.000000 0.000000 0.00 0.000000 \n",
"6 0.000000 0.000000 0.00 0.047619 \n",
"7 0.000000 0.000000 0.00 0.000000 \n",
"8 0.000000 0.000000 0.00 0.000000 \n",
"9 0.066667 0.000000 0.00 0.000000 \n",
"10 0.000000 0.000000 0.00 0.000000 \n",
"11 0.000000 0.000000 0.00 0.000000 \n",
"12 0.000000 0.000000 0.00 0.012195 \n",
"13 0.000000 0.000000 0.00 0.021277 \n",
"14 0.010000 0.010000 0.00 0.000000 \n",
"15 0.000000 0.010000 0.00 0.000000 \n",
"16 0.000000 0.000000 0.00 0.000000 \n",
"17 0.000000 0.012048 0.00 0.012048 \n",
"18 0.000000 0.010000 0.01 0.000000 \n",
"19 0.000000 0.010000 0.00 0.000000 \n",
"20 0.000000 0.010000 0.00 0.000000 \n",
"21 0.000000 0.010000 0.00 0.000000 \n",
"22 0.000000 0.000000 0.00 0.000000 \n",
"23 0.000000 0.000000 0.00 0.000000 \n",
"24 0.000000 0.000000 0.00 0.000000 \n",
"25 0.000000 0.000000 0.00 0.027027 \n",
"26 0.068966 0.011494 0.00 0.000000 \n",
"27 0.000000 0.000000 0.00 0.000000 \n",
"28 0.000000 0.000000 0.00 0.000000 \n",
"29 0.000000 0.010000 0.00 0.000000 \n",
"30 0.000000 0.000000 0.00 0.000000 \n",
"31 0.000000 0.000000 0.00 0.000000 \n",
"32 0.037736 0.018868 0.00 0.018868 \n",
"33 0.000000 0.000000 0.00 0.043478 \n",
"34 0.000000 0.000000 0.00 0.000000 \n",
"35 0.000000 0.000000 0.00 0.000000 \n",
"36 0.000000 0.000000 0.00 0.025000 \n",
"37 0.000000 0.000000 0.00 0.025641 \n",
"38 0.000000 0.000000 0.00 0.000000 "
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"toronto_grouped = toronto_onehot.groupby([\"PostalCode\", \"Borough\", \"Neighborhoods\"]).mean().reset_index()\n",
"\n",
"print(toronto_grouped.shape)\n",
"toronto_grouped"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's create the new dataframe and display the top 10 venues for each PostalCode."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(39, 13)\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>PostalCode</th>\n",
" <th>Borough</th>\n",
" <th>Neighborhoods</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>Pub</td>\n",
" <td>Trail</td>\n",
" <td>Asian Restaurant</td>\n",
" <td>Neighborhood</td>\n",
" <td>Health Food Store</td>\n",
" <td>Dumpling Restaurant</td>\n",
" <td>Donut Shop</td>\n",
" <td>Eastern European Restaurant</td>\n",
" <td>Department Store</td>\n",
" <td>Doner Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>M4K</td>\n",
" <td>East Toronto</td>\n",
" <td>The Danforth West, Riverdale</td>\n",
" <td>Greek Restaurant</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Restaurant</td>\n",
" <td>Bookstore</td>\n",
" <td>Ice Cream Shop</td>\n",
" <td>Furniture / Home Store</td>\n",
" <td>Fruit &amp; Vegetable Store</td>\n",
" <td>Pub</td>\n",
" <td>Pizza Place</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>M4L</td>\n",
" <td>East Toronto</td>\n",
" <td>The Beaches West, India Bazaar</td>\n",
" <td>Park</td>\n",
" <td>Light Rail Station</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Liquor Store</td>\n",
" <td>Burger Joint</td>\n",
" <td>Burrito Place</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Fast Food Restaurant</td>\n",
" <td>Ice Cream Shop</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>Café</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Gastropub</td>\n",
" <td>Brewery</td>\n",
" <td>Bakery</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>American Restaurant</td>\n",
" <td>Neighborhood</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Cheese Shop</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>Park</td>\n",
" <td>Bus Line</td>\n",
" <td>Swim School</td>\n",
" <td>Farmers Market</td>\n",
" <td>Event Space</td>\n",
" <td>Ethiopian Restaurant</td>\n",
" <td>Electronics Store</td>\n",
" <td>Eastern European Restaurant</td>\n",
" <td>Dumpling Restaurant</td>\n",
" <td>Donut Shop</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>M4P</td>\n",
" <td>Central Toronto</td>\n",
" <td>Davisville North</td>\n",
" <td>Hotel</td>\n",
" <td>Food &amp; Drink Shop</td>\n",
" <td>Department Store</td>\n",
" <td>Dance Studio</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Breakfast Spot</td>\n",
" <td>Gym</td>\n",
" <td>Park</td>\n",
" <td>Electronics Store</td>\n",
" <td>Eastern European Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>M4R</td>\n",
" <td>Central Toronto</td>\n",
" <td>North Toronto West</td>\n",
" <td>Clothing Store</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Bagel Shop</td>\n",
" <td>Salon / Barbershop</td>\n",
" <td>Fast Food Restaurant</td>\n",
" <td>Spa</td>\n",
" <td>Sporting Goods Shop</td>\n",
" <td>Diner</td>\n",
" <td>Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>M4S</td>\n",
" <td>Central Toronto</td>\n",
" <td>Davisville</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Pizza Place</td>\n",
" <td>Dessert Shop</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Gym</td>\n",
" <td>Sushi Restaurant</td>\n",
" <td>Café</td>\n",
" <td>Gas Station</td>\n",
" <td>Pharmacy</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>M4T</td>\n",
" <td>Central Toronto</td>\n",
" <td>Moore Park, Summerhill East</td>\n",
" <td>Tennis Court</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Department Store</td>\n",
" <td>Event Space</td>\n",
" <td>Ethiopian Restaurant</td>\n",
" <td>Electronics Store</td>\n",
" <td>Eastern European Restaurant</td>\n",
" <td>Dumpling Restaurant</td>\n",
" <td>Donut Shop</td>\n",
" <td>Doner Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>M4V</td>\n",
" <td>Central Toronto</td>\n",
" <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Pub</td>\n",
" <td>Pizza Place</td>\n",
" <td>Fried Chicken Joint</td>\n",
" <td>Light Rail Station</td>\n",
" <td>Vietnamese Restaurant</td>\n",
" <td>Supermarket</td>\n",
" <td>Liquor Store</td>\n",
" <td>Sushi Restaurant</td>\n",
" <td>Sports Bar</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>M4W</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Rosedale</td>\n",
" <td>Park</td>\n",
" <td>Playground</td>\n",
" <td>Trail</td>\n",
" <td>Deli / Bodega</td>\n",
" <td>Ethiopian Restaurant</td>\n",
" <td>Electronics Store</td>\n",
" <td>Eastern European Restaurant</td>\n",
" <td>Dumpling Restaurant</td>\n",
" <td>Donut Shop</td>\n",
" <td>Doner Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>M4X</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Cabbagetown, St. James Town</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Restaurant</td>\n",
" <td>Café</td>\n",
" <td>Pub</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Bakery</td>\n",
" <td>Market</td>\n",
" <td>Pizza Place</td>\n",
" <td>Park</td>\n",
" <td>Pet Store</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>M4Y</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Church and Wellesley</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Gay Bar</td>\n",
" <td>Sushi Restaurant</td>\n",
" <td>Restaurant</td>\n",
" <td>Pub</td>\n",
" <td>Men's Store</td>\n",
" <td>Mediterranean Restaurant</td>\n",
" <td>Hotel</td>\n",
" <td>Gym</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>M5A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbourfront</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Park</td>\n",
" <td>Bakery</td>\n",
" <td>Café</td>\n",
" <td>Pub</td>\n",
" <td>Breakfast Spot</td>\n",
" <td>Restaurant</td>\n",
" <td>Mexican Restaurant</td>\n",
" <td>Farmers Market</td>\n",
" <td>Event Space</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>M5B</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Ryerson, Garden District</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Clothing Store</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Café</td>\n",
" <td>Cosmetics Shop</td>\n",
" <td>Ice Cream Shop</td>\n",
" <td>Middle Eastern Restaurant</td>\n",
" <td>Restaurant</td>\n",
" <td>Bakery</td>\n",
" <td>Diner</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>M5C</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>St. James Town</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Café</td>\n",
" <td>Restaurant</td>\n",
" <td>Beer Bar</td>\n",
" <td>Hotel</td>\n",
" <td>American Restaurant</td>\n",
" <td>Bakery</td>\n",
" <td>Cosmetics Shop</td>\n",
" <td>Clothing Store</td>\n",
" <td>Cocktail Bar</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>M5E</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Berczy Park</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Cocktail Bar</td>\n",
" <td>Cheese Shop</td>\n",
" <td>Steakhouse</td>\n",
" <td>Beer Bar</td>\n",
" <td>Seafood Restaurant</td>\n",
" <td>Farmers Market</td>\n",
" <td>Bakery</td>\n",
" <td>Café</td>\n",
" <td>Italian Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>M5G</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Central Bay Street</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Ice Cream Shop</td>\n",
" <td>Café</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Burger Joint</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Juice Bar</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Salad Place</td>\n",
" <td>Bar</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>M5H</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Adelaide, King, Richmond</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Steakhouse</td>\n",
" <td>Café</td>\n",
" <td>Restaurant</td>\n",
" <td>Breakfast Spot</td>\n",
" <td>Bakery</td>\n",
" <td>Bar</td>\n",
" <td>Thai Restaurant</td>\n",
" <td>Asian Restaurant</td>\n",
" <td>Burger Joint</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>M5J</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Aquarium</td>\n",
" <td>Hotel</td>\n",
" <td>Café</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Brewery</td>\n",
" <td>Scenic Lookout</td>\n",
" <td>Sporting Goods Shop</td>\n",
" <td>Restaurant</td>\n",
" <td>Fried Chicken Joint</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>M5K</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Design Exchange, Toronto Dominion Centre</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Café</td>\n",
" <td>Hotel</td>\n",
" <td>Restaurant</td>\n",
" <td>Steakhouse</td>\n",
" <td>Deli / Bodega</td>\n",
" <td>Bar</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Seafood Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>M5L</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Commerce Court, Victoria Hotel</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Café</td>\n",
" <td>Restaurant</td>\n",
" <td>Hotel</td>\n",
" <td>American Restaurant</td>\n",
" <td>Gym</td>\n",
" <td>Bakery</td>\n",
" <td>Steakhouse</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Seafood Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>M5N</td>\n",
" <td>Central Toronto</td>\n",
" <td>Roselawn</td>\n",
" <td>Home Service</td>\n",
" <td>Garden</td>\n",
" <td>Ice Cream Shop</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Dessert Shop</td>\n",
" <td>Event Space</td>\n",
" <td>Ethiopian Restaurant</td>\n",
" <td>Electronics Store</td>\n",
" <td>Eastern European Restaurant</td>\n",
" <td>Dumpling Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>M5P</td>\n",
" <td>Central Toronto</td>\n",
" <td>Forest Hill North, Forest Hill West</td>\n",
" <td>Jewelry Store</td>\n",
" <td>Trail</td>\n",
" <td>Mexican Restaurant</td>\n",
" <td>Sushi Restaurant</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Dim Sum Restaurant</td>\n",
" <td>Event Space</td>\n",
" <td>Ethiopian Restaurant</td>\n",
" <td>Electronics Store</td>\n",
" <td>Eastern European Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>M5R</td>\n",
" <td>Central Toronto</td>\n",
" <td>The Annex, North Midtown, Yorkville</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Café</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Park</td>\n",
" <td>History Museum</td>\n",
" <td>Liquor Store</td>\n",
" <td>Burger Joint</td>\n",
" <td>Indian Restaurant</td>\n",
" <td>Flower Shop</td>\n",
" <td>Pub</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>M5S</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Harbord, University of Toronto</td>\n",
" <td>Café</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Bakery</td>\n",
" <td>Bookstore</td>\n",
" <td>Sandwich Place</td>\n",
" <td>Restaurant</td>\n",
" <td>Bar</td>\n",
" <td>College Arts Building</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Chinese Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>M5T</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Chinatown, Grange Park, Kensington Market</td>\n",
" <td>Vietnamese Restaurant</td>\n",
" <td>Café</td>\n",
" <td>Chinese Restaurant</td>\n",
" <td>Bar</td>\n",
" <td>Dumpling Restaurant</td>\n",
" <td>Vegetarian / Vegan Restaurant</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Mexican Restaurant</td>\n",
" <td>Grocery Store</td>\n",
" <td>Burger Joint</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>M5V</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
" <td>Airport Lounge</td>\n",
" <td>Airport Service</td>\n",
" <td>Airport Terminal</td>\n",
" <td>Boutique</td>\n",
" <td>Harbor / Marina</td>\n",
" <td>Boat or Ferry</td>\n",
" <td>Rental Car Location</td>\n",
" <td>Bar</td>\n",
" <td>Plane</td>\n",
" <td>Sculpture Garden</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>M5W</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Stn A PO Boxes 25 The Esplanade</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Café</td>\n",
" <td>Hotel</td>\n",
" <td>Cocktail Bar</td>\n",
" <td>Restaurant</td>\n",
" <td>Seafood Restaurant</td>\n",
" <td>Beer Bar</td>\n",
" <td>Japanese Restaurant</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Breakfast Spot</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>M5X</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>First Canadian Place, Underground city</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Café</td>\n",
" <td>Restaurant</td>\n",
" <td>Steakhouse</td>\n",
" <td>Gastropub</td>\n",
" <td>Seafood Restaurant</td>\n",
" <td>Gym</td>\n",
" <td>Bar</td>\n",
" <td>Deli / Bodega</td>\n",
" <td>Japanese Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>M6G</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Christie</td>\n",
" <td>Grocery Store</td>\n",
" <td>Café</td>\n",
" <td>Park</td>\n",
" <td>Bank</td>\n",
" <td>Diner</td>\n",
" <td>Baby Store</td>\n",
" <td>Restaurant</td>\n",
" <td>Athletics &amp; Sports</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Candy Store</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>M6H</td>\n",
" <td>West Toronto</td>\n",
" <td>Dovercourt Village, Dufferin</td>\n",
" <td>Pharmacy</td>\n",
" <td>Bakery</td>\n",
" <td>Grocery Store</td>\n",
" <td>Supermarket</td>\n",
" <td>Fast Food Restaurant</td>\n",
" <td>Café</td>\n",
" <td>Recording Studio</td>\n",
" <td>Bar</td>\n",
" <td>Bank</td>\n",
" <td>Middle Eastern Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>M6J</td>\n",
" <td>West Toronto</td>\n",
" <td>Little Portugal, Trinity</td>\n",
" <td>Bar</td>\n",
" <td>Asian Restaurant</td>\n",
" <td>Restaurant</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Vietnamese Restaurant</td>\n",
" <td>Café</td>\n",
" <td>Pizza Place</td>\n",
" <td>Men's Store</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Boutique</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>M6K</td>\n",
" <td>West Toronto</td>\n",
" <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
" <td>Breakfast Spot</td>\n",
" <td>Nightclub</td>\n",
" <td>Café</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Gym</td>\n",
" <td>Pet Store</td>\n",
" <td>Performing Arts Venue</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Intersection</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>M6P</td>\n",
" <td>West Toronto</td>\n",
" <td>High Park, The Junction South</td>\n",
" <td>Café</td>\n",
" <td>Thai Restaurant</td>\n",
" <td>Bar</td>\n",
" <td>Mexican Restaurant</td>\n",
" <td>Park</td>\n",
" <td>Fast Food Restaurant</td>\n",
" <td>Diner</td>\n",
" <td>Speakeasy</td>\n",
" <td>Bakery</td>\n",
" <td>Flea Market</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>M6R</td>\n",
" <td>West Toronto</td>\n",
" <td>Parkdale, Roncesvalles</td>\n",
" <td>Gift Shop</td>\n",
" <td>Breakfast Spot</td>\n",
" <td>Bookstore</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Dog Run</td>\n",
" <td>Bar</td>\n",
" <td>Dessert Shop</td>\n",
" <td>Movie Theater</td>\n",
" <td>Cuban Restaurant</td>\n",
" <td>Eastern European Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>M6S</td>\n",
" <td>West Toronto</td>\n",
" <td>Runnymede, Swansea</td>\n",
" <td>Pizza Place</td>\n",
" <td>Café</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Bookstore</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Sushi Restaurant</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Gourmet Shop</td>\n",
" <td>Post Office</td>\n",
" <td>Latin American Restaurant</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>M7A</td>\n",
" <td>Downtown Toronto</td>\n",
" <td>Queen's Park</td>\n",
" <td>Coffee Shop</td>\n",
" <td>Park</td>\n",
" <td>Gym</td>\n",
" <td>Yoga Studio</td>\n",
" <td>Burrito Place</td>\n",
" <td>Beer Bar</td>\n",
" <td>Italian Restaurant</td>\n",
" <td>Music Venue</td>\n",
" <td>Juice Bar</td>\n",
" <td>Sandwich Place</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>M7Y</td>\n",
" <td>East Toronto</td>\n",
" <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
" <td>Skate Park</td>\n",
" <td>Smoke Shop</td>\n",
" <td>Restaurant</td>\n",
" <td>Light Rail Station</td>\n",
" <td>Burrito Place</td>\n",
" <td>Spa</td>\n",
" <td>Auto Workshop</td>\n",
" <td>Fast Food Restaurant</td>\n",
" <td>Farmers Market</td>\n",
" <td>Pizza Place</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" PostalCode Borough \\\n",
"0 M4E East Toronto \n",
"1 M4K East Toronto \n",
"2 M4L East Toronto \n",
"3 M4M East Toronto \n",
"4 M4N Central Toronto \n",
"5 M4P Central Toronto \n",
"6 M4R Central Toronto \n",
"7 M4S Central Toronto \n",
"8 M4T Central Toronto \n",
"9 M4V Central Toronto \n",
"10 M4W Downtown Toronto \n",
"11 M4X Downtown Toronto \n",
"12 M4Y Downtown Toronto \n",
"13 M5A Downtown Toronto \n",
"14 M5B Downtown Toronto \n",
"15 M5C Downtown Toronto \n",
"16 M5E Downtown Toronto \n",
"17 M5G Downtown Toronto \n",
"18 M5H Downtown Toronto \n",
"19 M5J Downtown Toronto \n",
"20 M5K Downtown Toronto \n",
"21 M5L Downtown Toronto \n",
"22 M5N Central Toronto \n",
"23 M5P Central Toronto \n",
"24 M5R Central Toronto \n",
"25 M5S Downtown Toronto \n",
"26 M5T Downtown Toronto \
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment