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diff --git a/notebooks/Segmenting_and_Clustering_Neighbourhoods_in_Toronto.ipynb b/notebooks/Segmenting_and_Clustering_Neighbourhoods_in_Toronto.ipynb new file mode 100644 index 0000000..b5ec4cc --- /dev/null +++ b/notebooks/Segmenting_and_Clustering_Neighbourhoods_in_Toronto.ipynb @@ -0,0 +1,3650 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Segmenting and Clustering Neighbourhoods in Toronto\n", + "---\n", + "# Part 1\n", + "Import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import requests" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get the HTML page of Wikipedia and use read_html we convert the html data into list of Data frame objects.\n", + "\n", + "Remove cells which have neighbourhood as \"Not assigned.\"" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>Postal Code</th>\n", + " <th>Borough</th>\n", + " <th>Neighbourhood</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>M3A</td>\n", + " <td>North York</td>\n", + " <td>Parkwoods</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>M4A</td>\n", + " <td>North York</td>\n", + " <td>Victoria Village</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>M5A</td>\n", + " <td>Downtown Toronto</td>\n", + " <td>Regent Park, Harbourfront</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>M6A</td>\n", + " <td>North York</td>\n", + " <td>Lawrence Manor, Lawrence Heights</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>M7A</td>\n", + " <td>Downtown Toronto</td>\n", + " <td>Queen's Park, Ontario Provincial Government</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Postal Code Borough Neighbourhood\n", + "0 M3A North York Parkwoods\n", + "1 M4A North York Victoria Village\n", + "2 M5A Downtown Toronto Regent Park, Harbourfront\n", + "3 M6A North York Lawrence Manor, Lawrence Heights\n", + "4 M7A Downtown Toronto Queen's Park, Ontario Provincial Government" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wiki = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n", + "wiki_page = requests.get(wiki)\n", + "\n", + "wiki_raw = pd.read_html(wiki_page.content, header = 0)[0]\n", + "df = wiki_raw[wiki_raw.Neighbourhood != 'Not assigned']\n", + "df.reset_index(inplace=True, drop=True)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "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>Borough</th>\n", + " <th>Neighbourhood</th>\n", + " </tr>\n", + " <tr>\n", + " <th>Postal Code</th>\n", + " <th></th>\n", + " <th></th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>M1B</th>\n", + " <td>Scarborough</td>\n", + " <td>Malvern, Rouge</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M1C</th>\n", + " <td>Scarborough</td>\n", + " <td>Rouge Hill, Port Union, Highland Creek</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M1E</th>\n", + " <td>Scarborough</td>\n", + " <td>Guildwood, Morningside, West Hill</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M1G</th>\n", + " <td>Scarborough</td>\n", + " <td>Woburn</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M1H</th>\n", + " <td>Scarborough</td>\n", + " <td>Cedarbrae</td>\n", + " </tr>\n", + " <tr>\n", + " <th>...</th>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M9N</th>\n", + " <td>York</td>\n", + " <td>Weston</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M9P</th>\n", + " <td>Etobicoke</td>\n", + " <td>Westmount</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M9R</th>\n", + " <td>Etobicoke</td>\n", + " <td>Kingsview Village, St. Phillips, Martin Grove ...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M9V</th>\n", + " <td>Etobicoke</td>\n", + " <td>South Steeles, Silverstone, Humbergate, Jamest...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>M9W</th>\n", + " <td>Etobicoke</td>\n", + " <td>Northwest, West Humber - Clairville</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "<p>103 rows × 2 columns</p>\n", + "</div>" + ], + "text/plain": [ + " Borough Neighbourhood\n", + "Postal Code \n", + "M1B Scarborough Malvern, Rouge\n", + "M1C Scarborough Rouge Hill, Port Union, Highland Creek\n", + "M1E Scarborough Guildwood, Morningside, West Hill\n", + "M1G Scarborough Woburn\n", + "M1H Scarborough Cedarbrae\n", + "... ... ...\n", + "M9N York Weston\n", + "M9P Etobicoke Westmount\n", + "M9R Etobicoke Kingsview Village, St. Phillips, Martin Grove ...\n", + "M9V Etobicoke South Steeles, Silverstone, Humbergate, Jamest...\n", + "M9W Etobicoke Northwest, West Humber - Clairville\n", + "\n", + "[103 rows x 2 columns]" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.groupby(['Postal Code']).first()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "103" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(df['Postal Code'].unique())" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>Postal Code</th>\n", + " <th>Borough</th>\n", + " <th>Neighbourhood</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [Postal Code, Borough, Neighbourhood]\n", + "Index: []" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df['Borough'] == 'Not assigned']" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(103, 3)" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "# Part 2" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: geocoder in c:\\users\\my_user\\anaconda3\\lib\\site-packages (1.38.1)\n", + "Requirement already satisfied: future in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from geocoder) (0.18.2)\n", + "Requirement already satisfied: ratelim in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from geocoder) (0.1.6)\n", + "Requirement already satisfied: requests in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from geocoder) (2.22.0)\n", + "Requirement already satisfied: click in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from geocoder) (7.0)\n", + "Requirement already satisfied: six in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from geocoder) (1.14.0)\n", + "Requirement already satisfied: decorator in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from ratelim->geocoder) (4.4.1)\n", + "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from requests->geocoder) (1.25.8)\n", + "Requirement already satisfied: idna<2.9,>=2.5 in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from requests->geocoder) (2.8)\n", + "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from requests->geocoder) (2019.11.28)\n", + "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in c:\\users\\my_user\\anaconda3\\lib\\site-packages (from requests->geocoder) (3.0.4)\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "pip install geocoder" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": {}, + "outputs": [], + "source": [ + "import geocoder" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "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": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "url = 'http://cocl.us/Geospatial_data'\n", + "df_geo = pd.read_csv(url)\n", + "df_geo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Postal Code object\n", + "Latitude float64\n", + "Longitude float64\n", + "dtype: object" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_geo.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Postal Code object\n", + "Borough object\n", + "Neighbourhood object\n", + "dtype: object" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(103, 3)" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(103, 3)" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_geo.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>Postal Code</th>\n", + " <th>Borough</th>\n", + " <th>Neighbourhood</th>\n", + " <th>Latitude</th>\n", + " <th>Longitude</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>M3A</td>\n", + " <td>North York</td>\n", + " <td>Parkwoods</td>\n", + " <td>43.753259</td>\n", + " <td>-79.329656</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>M4A</td>\n", + " <td>North York</td>\n", + " <td>Victoria Village</td>\n", + " <td>43.725882</td>\n", + " <td>-79.315572</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>M5A</td>\n", + " <td>Downtown Toronto</td>\n", + " <td>Regent Park, Harbourfront</td>\n", + " <td>43.654260</td>\n", + " <td>-79.360636</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>M6A</td>\n", + " <td>North York</td>\n", + " <td>Lawrence Manor, Lawrence Heights</td>\n", + " <td>43.718518</td>\n", + " <td>-79.464763</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>M7A</td>\n", + " <td>Downtown Toronto</td>\n", + " <td>Queen's Park, Ontario Provincial Government</td>\n", + " <td>43.662301</td>\n", + " <td>-79.389494</td>\n", + " </tr>\n", + " <tr>\n", + " <th>5</th>\n", + " <td>M9A</td>\n", + " <td>Etobicoke</td>\n", + " <td>Islington Avenue, Humber Valley Village</td>\n", + " <td>43.667856</td>\n", + " <td>-79.532242</td>\n", + " </tr>\n", + " <tr>\n", + " <th>6</th>\n", + " <td>M1B</td>\n", + " <td>Scarborough</td>\n", + " <td>Malvern, Rouge</td>\n", + " <td>43.806686</td>\n", + " <td>-79.194353</td>\n", + " </tr>\n", + " <tr>\n", + " <th>7</th>\n", + " <td>M3B</td>\n", + " <td>North York</td>\n", + " <td>Don Mills</td>\n", + " <td>43.745906</td>\n", + " <td>-79.352188</td>\n", + " </tr>\n", + " <tr>\n", + " <th>8</th>\n", + " <td>M4B</td>\n", + " <td>East York</td>\n", + " <td>Parkview Hill, Woodbine Gardens</td>\n", + " <td>43.706397</td>\n", + " <td>-79.309937</td>\n", + " </tr>\n", + " <tr>\n", + " <th>9</th>\n", + " <td>M5B</td>\n", + " <td>Downtown Toronto</td>\n", + " <td>Garden District, Ryerson</td>\n", + " <td>43.657162</td>\n", + " <td>-79.378937</td>\n", + " </tr>\n", + " <tr>\n", + " <th>10</th>\n", + " <td>M6B</td>\n", + " <td>North York</td>\n", + " <td>Glencairn</td>\n", + " <td>43.709577</td>\n", + " <td>-79.445073</td>\n", + " </tr>\n", + " <tr>\n", + " <th>11</th>\n", + " <td>M9B</td>\n", + " <td>Etobicoke</td>\n", + " <td>West Deane Park, Princess Gardens, Martin Grov...</td>\n", + " <td>43.650943</td>\n", + " <td>-79.554724</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Postal Code Borough \\\n", + "0 M3A North York \n", + "1 M4A North York \n", + "2 M5A Downtown Toronto \n", + "3 M6A North York \n", + "4 M7A Downtown Toronto \n", + "5 M9A Etobicoke \n", + "6 M1B Scarborough \n", + "7 M3B North York \n", + "8 M4B East York \n", + "9 M5B Downtown Toronto \n", + "10 M6B North York \n", + "11 M9B Etobicoke \n", + "\n", + " Neighbourhood Latitude Longitude \n", + "0 Parkwoods 43.753259 -79.329656 \n", + "1 Victoria Village 43.725882 -79.315572 \n", + "2 Regent Park, Harbourfront 43.654260 -79.360636 \n", + "3 Lawrence Manor, Lawrence Heights 43.718518 -79.464763 \n", + "4 Queen's Park, Ontario Provincial Government 43.662301 -79.389494 \n", + "5 Islington Avenue, Humber Valley Village 43.667856 -79.532242 \n", + "6 Malvern, Rouge 43.806686 -79.194353 \n", + "7 Don Mills 43.745906 -79.352188 \n", + "8 Parkview Hill, Woodbine Gardens 43.706397 -79.309937 \n", + "9 Garden District, Ryerson 43.657162 -79.378937 \n", + "10 Glencairn 43.709577 -79.445073 \n", + "11 West Deane Park, Princess Gardens, Martin Grov... 43.650943 -79.554724 " + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = df.join(df_geo.set_index('Postal Code'), on='Postal Code')\n", + "df.head(12)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(103, 5)" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "# Part 3\n", + "Using the foursquere API to segment and cluster the neighborhoods of Toronto" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting package metadata (current_repodata.json): ...working... done\n", + "Solving environment: ...working... done\n", + "\n", + "# All requested packages already installed.\n", + "\n", + "Collecting geopy\n", + " Downloading geopy-2.0.0-py3-none-any.whl (111 kB)\n", + "Collecting geographiclib<2,>=1.49\n", + " Downloading geographiclib-1.50-py3-none-any.whl (38 kB)\n", + "Installing collected packages: geographiclib, geopy\n", + "Successfully installed geographiclib-1.50 geopy-2.0.0\n", + "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n" + ] + } + ], + "source": [ + "!conda install -c conda-forge geocoder --yes\n", + "import geocoder\n", + "!pip install geopy\n", + "from geopy.geocoders import Nominatim \n", + "\n", + "address = 'Toronto, Ontario'\n", + "\n", + "geolocator = Nominatim(user_agent=\"toronto_explorer\")\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": [ + "Printing the map" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: 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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>" + ], + "text/plain": [ + "<folium.folium.Map at 0x1a0657a4808>" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import folium\n", + "\n", + "# 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(df['Latitude'], df['Longitude'], df['Borough'], df['Neighbourhood']):\n", + " label = '{}, {}'.format(neighborhood, borough)\n", + " label = folium.Popup(label, parse_html=True)\n", + " folium.CircleMarker(\n", + " [lat, lng],\n", + " radius=5,\n", + " popup=label,\n", + " color='blue',\n", + " fill=True,\n", + " fill_color='#3186cc',\n", + " fill_opacity=0.7,\n", + " ).add_to(map_Toronto) \n", + " \n", + "map_Toronto" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Define Foursquare parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [], + "source": [ + "CLIENT_ID = 'MPMD3J0GGDV0HKDJFEDRK0USSGW0MQUD0DMN3C4ZAMWT2XTN'\n", + "CLIENT_SECRET = 'YVCSGVSCX02EFWITMI3RDOTUSJEHV4APRMLBFCN5CKWXCTPJ'" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Your credentails:\n", + "CLIENT_ID: MPMD3J0GGDV0HKDJFEDRK0USSGW0MQUD0DMN3C4ZAMWT2XTN\n", + "CLIENT_SECRET:YVCSGVSCX02EFWITMI3RDOTUSJEHV4APRMLBFCN5CKWXCTPJ\n" + ] + } + ], + "source": [ + "VERSION = '20180604' # 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": [ + "Explore the data, and get the venues in 500 meters range from our first entry" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Latitude and longitude values of Parkwoods are 43.7532586, -79.3296565.\n" + ] + } + ], + "source": [ + "neighborhood_latitude = df.loc[0, 'Latitude'] # neighborhood latitude value\n", + "neighborhood_longitude = df.loc[0, 'Longitude'] # neighborhood longitude value\n", + "\n", + "neighborhood_name = df.loc[0, 'Neighbourhood'] # neighborhood name\n", + "\n", + "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n", + " neighborhood_latitude, \n", + " neighborhood_longitude))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create the GET request URL" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://api.foursquare.com/v2/venues/explore?&client_id=MPMD3J0GGDV0HKDJFEDRK0USSGW0MQUD0DMN3C4ZAMWT2XTN&client_secret=YVCSGVSCX02EFWITMI3RDOTUSJEHV4APRMLBFCN5CKWXCTPJ&v=20180604&ll=43.7532586,-79.3296565&radius=500&limit=100'" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "LIMIT = 100\n", + "radius = 500\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", + " neighborhood_latitude, \n", + " neighborhood_longitude, \n", + " radius, \n", + " LIMIT)\n", + "url" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'meta': {'code': 200, 'requestId': '5f1dab2fb0d9d01cac2a7fbc'},\n", + " 'response': {'warning': {'text': \"There aren't a lot of results near you. Try something more general, reset your filters, or expand the search area.\"},\n", + " 'headerLocation': 'Parkwoods - Donalda',\n", + " 'headerFullLocation': 'Parkwoods - Donalda, Toronto',\n", + " 'headerLocationGranularity': 'neighborhood',\n", + " 'totalResults': 2,\n", + " 'suggestedBounds': {'ne': {'lat': 43.757758604500005,\n", + " 'lng': -79.32343823984928},\n", + " 'sw': {'lat': 43.7487585955, 'lng': -79.33587476015072}},\n", + " 'groups': [{'type': 'Recommended Places',\n", + " 'name': 'recommended',\n", + " 'items': [{'reasons': {'count': 0,\n", + " 'items': [{'summary': 'This spot is popular',\n", + " 'type': 'general',\n", + " 'reasonName': 'globalInteractionReason'}]},\n", + " 'venue': {'id': '4e8d9dcdd5fbbbb6b3003c7b',\n", + " 'name': 'Brookbanks Park',\n", + " 'location': {'address': 'Toronto',\n", + " 'lat': 43.751976046055574,\n", + " 'lng': -79.33214044722958,\n", + " 'labeledLatLngs': [{'label': 'display',\n", + " 'lat': 43.751976046055574,\n", + " 'lng': -79.33214044722958}],\n", + " 'distance': 245,\n", + " 'cc': 'CA',\n", + " 'city': 'Toronto',\n", + " 'state': 'ON',\n", + " 'country': 'Canada',\n", + " 'formattedAddress': ['Toronto', 'Toronto ON', 'Canada']},\n", + " 'categories': [{'id': '4bf58dd8d48988d163941735',\n", + " 'name': 'Park',\n", + " 'pluralName': 'Parks',\n", + " 'shortName': 'Park',\n", + " 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n", + " 'suffix': '.png'},\n", + " 'primary': True}],\n", + " 'photos': {'count': 0, 'groups': []}},\n", + " 'referralId': 'e-0-4e8d9dcdd5fbbbb6b3003c7b-0'},\n", + " {'reasons': {'count': 0,\n", + " 'items': [{'summary': 'This spot is popular',\n", + " 'type': 'general',\n", + " 'reasonName': 'globalInteractionReason'}]},\n", + " 'venue': {'id': '4cb11e2075ebb60cd1c4caad',\n", + " 'name': 'Variety Store',\n", + " 'location': {'address': '29 Valley Woods Road',\n", + " 'lat': 43.75197441585782,\n", + " 'lng': -79.33311418516017,\n", + " 'labeledLatLngs': [{'label': 'display',\n", + " 'lat': 43.75197441585782,\n", + " 'lng': -79.33311418516017}],\n", + " 'distance': 312,\n", + " 'cc': 'CA',\n", + " 'city': 'Toronto',\n", + " 'state': 'ON',\n", + " 'country': 'Canada',\n", + " 'formattedAddress': ['29 Valley Woods Road', 'Toronto ON', 'Canada']},\n", + " 'categories': [{'id': '4bf58dd8d48988d1f9941735',\n", + " 'name': 'Food & Drink Shop',\n", + " 'pluralName': 'Food & Drink Shops',\n", + " 'shortName': 'Food & Drink',\n", + " 'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/foodanddrink_',\n", + " 'suffix': '.png'},\n", + " 'primary': True}],\n", + " 'photos': {'count': 0, 'groups': []}},\n", + " 'referralId': 'e-0-4cb11e2075ebb60cd1c4caad-1'}]}]}}" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results = requests.get(url).json()\n", + "results" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "# function that extracts the category of the venue\n", + "def get_category_type(row):\n", + " try:\n", + " categories_list = row['categories']\n", + " except:\n", + " categories_list = row['venue.categories']\n", + " \n", + " if len(categories_list) == 0:\n", + " return None\n", + " else:\n", + " return categories_list[0]['name']" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\my_user\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: FutureWarning: pandas.io.json.json_normalize is deprecated, use pandas.json_normalize instead\n", + " \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>name</th>\n", + " <th>categories</th>\n", + " <th>lat</th>\n", + " <th>lng</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>Brookbanks Park</td>\n", + " <td>Park</td>\n", + " <td>43.751976</td>\n", + " <td>-79.332140</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>Variety Store</td>\n", + " <td>Food & Drink Shop</td>\n", + " <td>43.751974</td>\n", + " <td>-79.333114</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " name categories lat lng\n", + "0 Brookbanks Park Park 43.751976 -79.332140\n", + "1 Variety Store Food & Drink Shop 43.751974 -79.333114" + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import json\n", + "from pandas.io.json import json_normalize\n", + "\n", + "venues = results['response']['groups'][0]['items']\n", + " \n", + "nearby_venues = json_normalize(venues) # flatten JSON\n", + "\n", + "# filter columns\n", + "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n", + "nearby_venues =nearby_venues.loc[:, filtered_columns]\n", + "\n", + "# filter the category for each row\n", + "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n", + "\n", + "# clean columns\n", + "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n", + "\n", + "nearby_venues.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generalize to obtain the venues from all neighbourhoods in Toronto" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n", + " \n", + " venues_list=[]\n", + " for name, lat, lng in zip(names, latitudes, longitudes):\n", + " print(name)\n", + " \n", + " # create the API request URL\n", + " url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n", + " CLIENT_ID, \n", + " CLIENT_SECRET, \n", + " VERSION, \n", + " lat, \n", + " lng, \n", + " radius, \n", + " LIMIT)\n", + " \n", + " # make the GET request\n", + " results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n", + " \n", + " # return only relevant information for each nearby venue\n", + " venues_list.append([(\n", + " name, \n", + " lat, \n", + " lng, \n", + " v['venue']['name'], \n", + " v['venue']['location']['lat'], \n", + " v['venue']['location']['lng'], \n", + " v['venue']['categories'][0]['name']) for v in results])\n", + "\n", + " nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n", + " nearby_venues.columns = ['Neighbourhood', \n", + " 'Neighborhood Latitude', \n", + " 'Neighborhood Longitude', \n", + " 'Venue', \n", + " 'Venue Latitude', \n", + " 'Venue Longitude', \n", + " 'Venue Category']\n", + " \n", + " return(nearby_venues)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parkwoods\n", + "Victoria Village\n", + "Regent Park, Harbourfront\n", + "Lawrence Manor, Lawrence Heights\n", + "Queen's Park, Ontario Provincial Government\n", + "Islington Avenue, Humber Valley Village\n", + "Malvern, Rouge\n", + "Don Mills\n", + "Parkview Hill, Woodbine Gardens\n", + "Garden District, Ryerson\n", + "Glencairn\n", + "West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale\n", + "Rouge Hill, Port Union, Highland Creek\n", + "Don Mills\n", + "Woodbine Heights\n", + "St. James Town\n", + "Humewood-Cedarvale\n", + "Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood\n", + "Guildwood, Morningside, West Hill\n", + "The Beaches\n", + "Berczy Park\n", + "Caledonia-Fairbanks\n", + "Woburn\n", + "Leaside\n", + "Central Bay Street\n", + "my_usertie\n", + "Cedarbrae\n", + "Hillcrest Village\n", + "Bathurst Manor, Wilson Heights, Downsview North\n", + "Thorncliffe Park\n", + "Richmond, Adelaide, King\n", + "Dufferin, Dovercourt Village\n", + "Scarborough Village\n", + "Fairview, Henry Farm, Oriole\n", + "Northwood Park, York University\n", + "East Toronto, Broadview North (Old East York)\n", + "Harbourfront East, Union Station, Toronto Islands\n", + "Little Portugal, Trinity\n", + "Kennedy Park, Ionview, East Birchmount Park\n", + "Bayview Village\n", + "Downsview\n", + "The Danforth West, Riverdale\n", + "Toronto Dominion Centre, Design Exchange\n", + "Brockton, Parkdale Village, Exhibition Place\n", + "Golden Mile, Clairlea, Oakridge\n", + "York Mills, Silver Hills\n", + "Downsview\n", + "India Bazaar, The Beaches West\n", + "Commerce Court, Victoria Hotel\n", + "North Park, Maple Leaf Park, Upwood Park\n", + "Humber Summit\n", + "Cliffside, Cliffcrest, Scarborough Village West\n", + "Willowdale, Newtonbrook\n", + "Downsview\n", + "Studio District\n", + "Bedford Park, Lawrence Manor East\n", + "Del Ray, Mount Dennis, Keelsdale and Silverthorn\n", + "Humberlea, Emery\n", + "Birch Cliff, Cliffside West\n", + "Willowdale, Willowdale East\n", + "Downsview\n", + "Lawrence Park\n", + "Roselawn\n", + "Runnymede, The Junction North\n", + "Weston\n", + "Dorset Park, Wexford Heights, Scarborough Town Centre\n", + "York Mills West\n", + "Davisville North\n", + "Forest Hill North & West, Forest Hill Road Park\n", + "High Park, The Junction South\n", + "Westmount\n", + "Wexford, Maryvale\n", + "Willowdale, Willowdale West\n", + "North Toronto West, Lawrence Park\n", + "The Annex, North Midtown, Yorkville\n", + "Parkdale, Roncesvalles\n", + "Canada Post Gateway Processing Centre\n", + "Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens\n", + "Agincourt\n", + "Davisville\n", + "University of Toronto, Harbord\n", + "Runnymede, Swansea\n", + "Clarks Corners, Tam O'Shanter, Sullivan\n", + "Moore Park, Summerhill East\n", + "Kensington Market, Chinatown, Grange Park\n", + "Milliken, Agincourt North, Steeles East, L'Amoreaux East\n", + "Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n", + "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n", + "New Toronto, Mimico South, Humber Bay Shores\n", + "South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens\n", + "Steeles West, L'Amoreaux West\n", + "Rosedale\n", + "Stn A PO Boxes\n", + "Alderwood, Long Branch\n", + "Northwest, West Humber - Clairville\n", + "Upper Rouge\n", + "St. James Town, Cabbagetown\n", + "First Canadian Place, Underground city\n", + "The Kingsway, Montgomery Road, Old Mill North\n", + "Church and Wellesley\n", + "Business reply mail Processing Centre, South Central Letter Processing Plant Toronto\n", + "Old Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East\n", + "Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West\n" + ] + } + ], + "source": [ + "toronto_venues = getNearbyVenues(names=df['Neighbourhood'],\n", + " latitudes=df['Latitude'],\n", + " longitudes=df['Longitude']\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Checking the size of df" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(2153, 7)\n" + ] + }, + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>Neighbourhood</th>\n", + " <th>Neighborhood Latitude</th>\n", + " <th>Neighborhood Longitude</th>\n", + " <th>Venue</th>\n", + " <th>Venue Latitude</th>\n", + " <th>Venue Longitude</th>\n", + " <th>Venue Category</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>Parkwoods</td>\n", + " <td>43.753259</td>\n", + " <td>-79.329656</td>\n", + " <td>Brookbanks Park</td>\n", + " <td>43.751976</td>\n", + " <td>-79.332140</td>\n", + " <td>Park</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>Parkwoods</td>\n", + " <td>43.753259</td>\n", + " <td>-79.329656</td>\n", + " <td>Variety Store</td>\n", + " <td>43.751974</td>\n", + " <td>-79.333114</td>\n", + " <td>Food & Drink Shop</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>Victoria Village</td>\n", + " <td>43.725882</td>\n", + " <td>-79.315572</td>\n", + " <td>Victoria Village Arena</td>\n", + " <td>43.723481</td>\n", + " <td>-79.315635</td>\n", + " <td>Hockey Arena</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>Victoria Village</td>\n", + " <td>43.725882</td>\n", + " <td>-79.315572</td>\n", + " <td>Portugril</td>\n", + " <td>43.725819</td>\n", + " <td>-79.312785</td>\n", + " <td>Portuguese Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>Victoria Village</td>\n", + " <td>43.725882</td>\n", + " <td>-79.315572</td>\n", + " <td>Tim Hortons</td>\n", + " <td>43.725517</td>\n", + " <td>-79.313103</td>\n", + " <td>Coffee Shop</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Neighbourhood Neighborhood Latitude Neighborhood Longitude \\\n", + "0 Parkwoods 43.753259 -79.329656 \n", + "1 Parkwoods 43.753259 -79.329656 \n", + "2 Victoria Village 43.725882 -79.315572 \n", + "3 Victoria Village 43.725882 -79.315572 \n", + "4 Victoria Village 43.725882 -79.315572 \n", + "\n", + " Venue Venue Latitude Venue Longitude \\\n", + "0 Brookbanks Park 43.751976 -79.332140 \n", + "1 Variety Store 43.751974 -79.333114 \n", + "2 Victoria Village Arena 43.723481 -79.315635 \n", + "3 Portugril 43.725819 -79.312785 \n", + "4 Tim Hortons 43.725517 -79.313103 \n", + "\n", + " Venue Category \n", + "0 Park \n", + "1 Food & Drink Shop \n", + "2 Hockey Arena \n", + "3 Portuguese Restaurant \n", + "4 Coffee Shop " + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print(toronto_venues.shape)\n", + "toronto_venues.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Checking how many venues there are for each venue" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>Neighborhood Latitude</th>\n", + " <th>Neighborhood Longitude</th>\n", + " <th>Venue</th>\n", + " <th>Venue Latitude</th>\n", + " <th>Venue Longitude</th>\n", + " <th>Venue Category</th>\n", + " </tr>\n", + " <tr>\n", + " <th>Neighbourhood</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>Agincourt</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>Alderwood, Long Branch</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>Bathurst Manor, Wilson Heights, Downsview North</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>Bayview Village</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>Bedford Park, Lawrence Manor East</th>\n", + " <td>25</td>\n", + " <td>25</td>\n", + " <td>25</td>\n", + " <td>25</td>\n", + " <td>25</td>\n", + " <td>25</td>\n", + " </tr>\n", + " <tr>\n", + " <th>...</th>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>Willowdale, Willowdale East</th>\n", + " <td>34</td>\n", + " <td>34</td>\n", + " <td>34</td>\n", + " <td>34</td>\n", + " <td>34</td>\n", + " <td>34</td>\n", + " </tr>\n", + " <tr>\n", + " <th>Willowdale, Willowdale West</th>\n", + " <td>6</td>\n", + " <td>6</td>\n", + " <td>6</td>\n", + " <td>6</td>\n", + " <td>6</td>\n", + " <td>6</td>\n", + " </tr>\n", + " <tr>\n", + " <th>Woburn</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>Woodbine Heights</th>\n", + " <td>9</td>\n", + " <td>9</td>\n", + " <td>9</td>\n", + " <td>9</td>\n", + " <td>9</td>\n", + " <td>9</td>\n", + " </tr>\n", + " <tr>\n", + " <th>York Mills West</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", + " </tbody>\n", + "</table>\n", + "<p>96 rows × 6 columns</p>\n", + "</div>" + ], + "text/plain": [ + " Neighborhood Latitude \\\n", + "Neighbourhood \n", + "Agincourt 4 \n", + "Alderwood, Long Branch 8 \n", + "Bathurst Manor, Wilson Heights, Downsview North 21 \n", + "Bayview Village 4 \n", + "Bedford Park, Lawrence Manor East 25 \n", + "... ... \n", + "Willowdale, Willowdale East 34 \n", + "Willowdale, Willowdale West 6 \n", + "Woburn 4 \n", + "Woodbine Heights 9 \n", + "York Mills West 3 \n", + "\n", + " Neighborhood Longitude \\\n", + "Neighbourhood \n", + "Agincourt 4 \n", + "Alderwood, Long Branch 8 \n", + "Bathurst Manor, Wilson Heights, Downsview North 21 \n", + "Bayview Village 4 \n", + "Bedford Park, Lawrence Manor East 25 \n", + "... ... \n", + "Willowdale, Willowdale East 34 \n", + "Willowdale, Willowdale West 6 \n", + "Woburn 4 \n", + "Woodbine Heights 9 \n", + "York Mills West 3 \n", + "\n", + " Venue Venue Latitude \\\n", + "Neighbourhood \n", + "Agincourt 4 4 \n", + "Alderwood, Long Branch 8 8 \n", + "Bathurst Manor, Wilson Heights, Downsview North 21 21 \n", + "Bayview Village 4 4 \n", + "Bedford Park, Lawrence Manor East 25 25 \n", + "... ... ... \n", + "Willowdale, Willowdale East 34 34 \n", + "Willowdale, Willowdale West 6 6 \n", + "Woburn 4 4 \n", + "Woodbine Heights 9 9 \n", + "York Mills West 3 3 \n", + "\n", + " Venue Longitude \\\n", + "Neighbourhood \n", + "Agincourt 4 \n", + "Alderwood, Long Branch 8 \n", + "Bathurst Manor, Wilson Heights, Downsview North 21 \n", + "Bayview Village 4 \n", + "Bedford Park, Lawrence Manor East 25 \n", + "... ... \n", + "Willowdale, Willowdale East 34 \n", + "Willowdale, Willowdale West 6 \n", + "Woburn 4 \n", + "Woodbine Heights 9 \n", + "York Mills West 3 \n", + "\n", + " Venue Category \n", + "Neighbourhood \n", + "Agincourt 4 \n", + "Alderwood, Long Branch 8 \n", + "Bathurst Manor, Wilson Heights, Downsview North 21 \n", + "Bayview Village 4 \n", + "Bedford Park, Lawrence Manor East 25 \n", + "... ... \n", + "Willowdale, Willowdale East 34 \n", + "Willowdale, Willowdale West 6 \n", + "Woburn 4 \n", + "Woodbine Heights 9 \n", + "York Mills West 3 \n", + "\n", + "[96 rows x 6 columns]" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "toronto_venues.groupby('Neighbourhood').count()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "How many categorys can we find?" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "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>Neighbourhood</th>\n", + " <th>Accessories Store</th>\n", + " <th>Afghan Restaurant</th>\n", + " <th>Airport</th>\n", + " <th>Airport Food Court</th>\n", + " <th>Airport Lounge</th>\n", + " <th>Airport Service</th>\n", + " <th>Airport Terminal</th>\n", + " <th>American Restaurant</th>\n", + " <th>Antique Shop</th>\n", + " <th>...</th>\n", + " <th>Vegetarian / Vegan Restaurant</th>\n", + " <th>Video Game Store</th>\n", + " <th>Video Store</th>\n", + " <th>Vietnamese Restaurant</th>\n", + " <th>Warehouse Store</th>\n", + " <th>Wine Bar</th>\n", + " <th>Wine Shop</th>\n", + " <th>Wings Joint</th>\n", + " <th>Women's Store</th>\n", + " <th>Yoga Studio</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>Parkwoods</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>...</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>Parkwoods</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>...</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>Victoria Village</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>...</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>Victoria Village</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>...</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>Victoria Village</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>...</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " <td>0</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "<p>5 rows × 270 columns</p>\n", + "</div>" + ], + "text/plain": [ + " Neighbourhood Accessories Store Afghan Restaurant Airport \\\n", + "0 Parkwoods 0 0 0 \n", + "1 Parkwoods 0 0 0 \n", + "2 Victoria Village 0 0 0 \n", + "3 Victoria Village 0 0 0 \n", + "4 Victoria Village 0 0 0 \n", + "\n", + " Airport Food Court Airport Lounge Airport Service Airport Terminal \\\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", + " American Restaurant Antique Shop ... Vegetarian / Vegan 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", + " Video Game Store Video Store Vietnamese Restaurant Warehouse 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", + " Wine Bar Wine Shop Wings Joint Women's Store Yoga Studio \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", + "[5 rows x 270 columns]" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# one hot encoding\n", + "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n", + "\n", + "# add neighborhood column back to dataframe\n", + "toronto_onehot['Neighbourhood'] = toronto_venues['Neighbourhood'] \n", + "\n", + "# move neighborhood column to the first column\n", + "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n", + "toronto_onehot = toronto_onehot[fixed_columns]\n", + "\n", + "toronto_onehot.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(2153, 270)" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "toronto_onehot.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "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>Neighbourhood</th>\n", + " <th>Accessories Store</th>\n", + " <th>Afghan Restaurant</th>\n", + " <th>Airport</th>\n", + " <th>Airport Food Court</th>\n", + " <th>Airport Lounge</th>\n", + " <th>Airport Service</th>\n", + " <th>Airport Terminal</th>\n", + " <th>American Restaurant</th>\n", + " <th>Antique Shop</th>\n", + " <th>...</th>\n", + " <th>Vegetarian / Vegan Restaurant</th>\n", + " <th>Video Game Store</th>\n", + " <th>Video Store</th>\n", + " <th>Vietnamese Restaurant</th>\n", + " <th>Warehouse Store</th>\n", + " <th>Wine Bar</th>\n", + " <th>Wine Shop</th>\n", + " <th>Wings Joint</th>\n", + " <th>Women's Store</th>\n", + " <th>Yoga Studio</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>Agincourt</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " <td>...</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>Alderwood, Long Branch</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " <td>...</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " <td>...</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>Bayview Village</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " <td>...</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.00</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>Bedford Park, Lawrence Manor East</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.04</td>\n", + " <td>0.0</td>\n", + " <td>...</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.0</td>\n", + " <td>0.04</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "<p>5 rows × 270 columns</p>\n", + "</div>" + ], + "text/plain": [ + " Neighbourhood Accessories Store \\\n", + "0 Agincourt 0.0 \n", + "1 Alderwood, Long Branch 0.0 \n", + "2 Bathurst Manor, Wilson Heights, Downsview North 0.0 \n", + "3 Bayview Village 0.0 \n", + "4 Bedford Park, Lawrence Manor East 0.0 \n", + "\n", + " Afghan Restaurant Airport Airport Food Court Airport Lounge \\\n", + "0 0.0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 0.0 \n", + "\n", + " Airport Service Airport Terminal American Restaurant Antique Shop ... \\\n", + "0 0.0 0.0 0.00 0.0 ... \n", + "1 0.0 0.0 0.00 0.0 ... \n", + "2 0.0 0.0 0.00 0.0 ... \n", + "3 0.0 0.0 0.00 0.0 ... \n", + "4 0.0 0.0 0.04 0.0 ... \n", + "\n", + " Vegetarian / Vegan Restaurant Video Game Store Video Store \\\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", + " Vietnamese Restaurant Warehouse Store Wine Bar Wine Shop Wings Joint \\\n", + "0 0.0 0.0 0.0 0.0 0.0 \n", + "1 0.0 0.0 0.0 0.0 0.0 \n", + "2 0.0 0.0 0.0 0.0 0.0 \n", + "3 0.0 0.0 0.0 0.0 0.0 \n", + "4 0.0 0.0 0.0 0.0 0.0 \n", + "\n", + " Women's Store Yoga Studio \n", + "0 0.00 0.0 \n", + "1 0.00 0.0 \n", + "2 0.00 0.0 \n", + "3 0.00 0.0 \n", + "4 0.04 0.0 \n", + "\n", + "[5 rows x 270 columns]" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "toronto_grouped = toronto_onehot.groupby('Neighbourhood').mean().reset_index()\n", + "toronto_grouped.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(96, 270)" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "toronto_grouped.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Getting the top 10 for each neighbourhood" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [], + "source": [ + "def return_most_common_venues(row, num_top_venues):\n", + " row_categories = row.iloc[1:]\n", + " row_categories_sorted = row_categories.sort_values(ascending=False)\n", + " \n", + " return row_categories_sorted.index.values[0:num_top_venues]" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "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>Neighbourhood</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>Agincourt</td>\n", + " <td>Lounge</td>\n", + " <td>Latin American Restaurant</td>\n", + " <td>Skating Rink</td>\n", + " <td>Breakfast Spot</td>\n", + " <td>Donut Shop</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>Alderwood, Long Branch</td>\n", + " <td>Pizza Place</td>\n", + " <td>Pharmacy</td>\n", + " <td>Sandwich Place</td>\n", + " <td>Dance Studio</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Pub</td>\n", + " <td>Gym</td>\n", + " <td>Airport Terminal</td>\n", + " <td>Falafel Restaurant</td>\n", + " <td>Event Space</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Bank</td>\n", + " <td>Frozen Yogurt Shop</td>\n", + " <td>Bridal Shop</td>\n", + " <td>Sandwich Place</td>\n", + " <td>Diner</td>\n", + " <td>Restaurant</td>\n", + " <td>Deli / Bodega</td>\n", + " <td>Middle Eastern Restaurant</td>\n", + " <td>Supermarket</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>Bayview Village</td>\n", + " <td>Café</td>\n", + " <td>Bank</td>\n", + " <td>Chinese Restaurant</td>\n", + " <td>Japanese Restaurant</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>Bedford Park, Lawrence Manor East</td>\n", + " <td>Sandwich Place</td>\n", + " <td>Restaurant</td>\n", + " <td>Italian Restaurant</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Liquor Store</td>\n", + " <td>Thai Restaurant</td>\n", + " <td>Café</td>\n", + " <td>Pub</td>\n", + " <td>Butcher</td>\n", + " <td>Sushi Restaurant</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Neighbourhood 1st Most Common Venue \\\n", + "0 Agincourt Lounge \n", + "1 Alderwood, Long Branch Pizza Place \n", + "2 Bathurst Manor, Wilson Heights, Downsview North Coffee Shop \n", + "3 Bayview Village Café \n", + "4 Bedford Park, Lawrence Manor East Sandwich Place \n", + "\n", + " 2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue \\\n", + "0 Latin American Restaurant Skating Rink Breakfast Spot \n", + "1 Pharmacy Sandwich Place Dance Studio \n", + "2 Bank Frozen Yogurt Shop Bridal Shop \n", + "3 Bank Chinese Restaurant Japanese Restaurant \n", + "4 Restaurant Italian Restaurant Coffee Shop \n", + "\n", + " 5th Most Common Venue 6th Most Common Venue 7th Most Common Venue \\\n", + "0 Donut Shop Diner Discount Store \n", + "1 Coffee Shop Pub Gym \n", + "2 Sandwich Place Diner Restaurant \n", + "3 Yoga Studio Diner Discount Store \n", + "4 Liquor Store Thai Restaurant Café \n", + "\n", + " 8th Most Common Venue 9th Most Common Venue 10th Most Common Venue \n", + "0 Distribution Center Dog Run Doner Restaurant \n", + "1 Airport Terminal Falafel Restaurant Event Space \n", + "2 Deli / Bodega Middle Eastern Restaurant Supermarket \n", + "3 Distribution Center Dog Run Doner Restaurant \n", + "4 Pub Butcher Sushi Restaurant " + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "num_top_venues = 10\n", + "\n", + "indicators = ['st', 'nd', 'rd']\n", + "\n", + "# create columns according to number of top venues\n", + "columns = ['Neighbourhood']\n", + "for ind in np.arange(num_top_venues):\n", + " try:\n", + " columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n", + " except:\n", + " columns.append('{}th Most Common Venue'.format(ind+1))\n", + "\n", + "# create a new dataframe\n", + "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n", + "neighborhoods_venues_sorted['Neighbourhood'] = toronto_grouped['Neighbourhood']\n", + "\n", + "for ind in np.arange(toronto_grouped.shape[0]):\n", + " neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n", + "\n", + "neighborhoods_venues_sorted.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Clustering Neighborhoods" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# import k-means from clustering stage\n", + "from sklearn.cluster import KMeans\n", + "\n", + "# set number of clusters\n", + "kclusters = 5\n", + "\n", + "toronto_grouped_clustering = toronto_grouped.drop('Neighbourhood', 1)\n", + "\n", + "# run k-means clustering\n", + "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n", + "\n", + "# check cluster labels generated for each row in the dataframe\n", + "kmeans.labels_[0:10]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Merge the dataframe with the top 10 and the cluster for each neighbourhood" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>Postal Code</th>\n", + " <th>Borough</th>\n", + " <th>Neighbourhood</th>\n", + " <th>Latitude</th>\n", + " <th>Longitude</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>M3A</td>\n", + " <td>North York</td>\n", + " <td>Parkwoods</td>\n", + " <td>43.753259</td>\n", + " <td>-79.329656</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>M4A</td>\n", + " <td>North York</td>\n", + " <td>Victoria Village</td>\n", + " <td>43.725882</td>\n", + " <td>-79.315572</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>M5A</td>\n", + " <td>Downtown Toronto</td>\n", + " <td>Regent Park, Harbourfront</td>\n", + " <td>43.654260</td>\n", + " <td>-79.360636</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>M6A</td>\n", + " <td>North York</td>\n", + " <td>Lawrence Manor, Lawrence Heights</td>\n", + " <td>43.718518</td>\n", + " <td>-79.464763</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>M7A</td>\n", + " <td>Downtown Toronto</td>\n", + " <td>Queen's Park, Ontario Provincial Government</td>\n", + " <td>43.662301</td>\n", + " <td>-79.389494</td>\n", + " </tr>\n", + " <tr>\n", + " <th>...</th>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>98</th>\n", + " <td>M8X</td>\n", + " <td>Etobicoke</td>\n", + " <td>The Kingsway, Montgomery Road, Old Mill North</td>\n", + " <td>43.653654</td>\n", + " <td>-79.506944</td>\n", + " </tr>\n", + " 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            var html_bff5f9d50b624ec69afce52047b31c65 = $(`<div id="html_bff5f9d50b624ec69afce52047b31c65" style="width: 100.0%; height: 100.0%;">Parkview Hill, Woodbine Gardens Cluster 1.0</div>`)[0];
            popup_ba4a560977b74bf99a2d3e14c94421cc.setContent(html_bff5f9d50b624ec69afce52047b31c65);
        

        circle_marker_d594e505fe6a47a68158eba2624f92fd.bindPopup(popup_ba4a560977b74bf99a2d3e14c94421cc)
        ;

        
    
    
            var circle_marker_4954ebd6aa524e27b41d66394b2aa218 = L.circleMarker(
                [43.6571618, -79.37893709999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_9e23f6f4e6be49658c360de005034719 = L.popup({"maxWidth": "100%"});

        
            var html_49b69bc7d36a4a238b11cc156f6a20ca = $(`<div id="html_49b69bc7d36a4a238b11cc156f6a20ca" style="width: 100.0%; height: 100.0%;">Garden District, Ryerson Cluster 1.0</div>`)[0];
            popup_9e23f6f4e6be49658c360de005034719.setContent(html_49b69bc7d36a4a238b11cc156f6a20ca);
        

        circle_marker_4954ebd6aa524e27b41d66394b2aa218.bindPopup(popup_9e23f6f4e6be49658c360de005034719)
        ;

        
    
    
            var circle_marker_0893ae43850145fd8217f95c44323abd = L.circleMarker(
                [43.709577, -79.44507259999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_64c02994aff94542a46f471d2ae04aaf = L.popup({"maxWidth": "100%"});

        
            var html_048fd65ed1334d98acad959824852153 = $(`<div id="html_048fd65ed1334d98acad959824852153" style="width: 100.0%; height: 100.0%;">Glencairn Cluster 1.0</div>`)[0];
            popup_64c02994aff94542a46f471d2ae04aaf.setContent(html_048fd65ed1334d98acad959824852153);
        

        circle_marker_0893ae43850145fd8217f95c44323abd.bindPopup(popup_64c02994aff94542a46f471d2ae04aaf)
        ;

        
    
    
            var circle_marker_46d706f7fe8848afaa52f58e272aa781 = L.circleMarker(
                [43.6509432, -79.55472440000001],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_6ade5f6ba0e9476d81788bb3f35a8a10 = L.popup({"maxWidth": "100%"});

        
            var html_b7266a97659648f28f33973dfd4a12ce = $(`<div id="html_b7266a97659648f28f33973dfd4a12ce" style="width: 100.0%; height: 100.0%;">West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale Cluster 4.0</div>`)[0];
            popup_6ade5f6ba0e9476d81788bb3f35a8a10.setContent(html_b7266a97659648f28f33973dfd4a12ce);
        

        circle_marker_46d706f7fe8848afaa52f58e272aa781.bindPopup(popup_6ade5f6ba0e9476d81788bb3f35a8a10)
        ;

        
    
    
            var circle_marker_6609e41145be444783da3eb534fed025 = L.circleMarker(
                [43.7845351, -79.16049709999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_7d8c2e3b263d46a78269a5ff966d32e5 = L.popup({"maxWidth": "100%"});

        
            var html_1bb802ac12624c79bf2ebbed4bb43783 = $(`<div id="html_1bb802ac12624c79bf2ebbed4bb43783" style="width: 100.0%; height: 100.0%;">Rouge Hill, Port Union, Highland Creek Cluster 1.0</div>`)[0];
            popup_7d8c2e3b263d46a78269a5ff966d32e5.setContent(html_1bb802ac12624c79bf2ebbed4bb43783);
        

        circle_marker_6609e41145be444783da3eb534fed025.bindPopup(popup_7d8c2e3b263d46a78269a5ff966d32e5)
        ;

        
    
    
            var circle_marker_4464f477e1644643be5bf33dba7f4514 = L.circleMarker(
                [43.72589970000001, -79.340923],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_326800c218a249d7bcaed01778e79294 = L.popup({"maxWidth": "100%"});

        
            var html_903799fdc6d24e0c89ca7c7685d22b3f = $(`<div id="html_903799fdc6d24e0c89ca7c7685d22b3f" style="width: 100.0%; height: 100.0%;">Don Mills Cluster 1.0</div>`)[0];
            popup_326800c218a249d7bcaed01778e79294.setContent(html_903799fdc6d24e0c89ca7c7685d22b3f);
        

        circle_marker_4464f477e1644643be5bf33dba7f4514.bindPopup(popup_326800c218a249d7bcaed01778e79294)
        ;

        
    
    
            var circle_marker_d04650751d0f40669b1de40b098f2828 = L.circleMarker(
                [43.695343900000005, -79.3183887],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_e3cca28b7ce2469b936d434130aecb91 = L.popup({"maxWidth": "100%"});

        
            var html_bd12eea10f1d487a9c40fdd9f446032d = $(`<div id="html_bd12eea10f1d487a9c40fdd9f446032d" style="width: 100.0%; height: 100.0%;">Woodbine Heights Cluster 1.0</div>`)[0];
            popup_e3cca28b7ce2469b936d434130aecb91.setContent(html_bd12eea10f1d487a9c40fdd9f446032d);
        

        circle_marker_d04650751d0f40669b1de40b098f2828.bindPopup(popup_e3cca28b7ce2469b936d434130aecb91)
        ;

        
    
    
            var circle_marker_841b1c3e806241579e58cbc9f6fb0438 = L.circleMarker(
                [43.6514939, -79.3754179],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_5132a3b8673d4023a7472172eae14af8 = L.popup({"maxWidth": "100%"});

        
            var html_6182ab92f6cc47669e5bea061b7cda29 = $(`<div id="html_6182ab92f6cc47669e5bea061b7cda29" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 1.0</div>`)[0];
            popup_5132a3b8673d4023a7472172eae14af8.setContent(html_6182ab92f6cc47669e5bea061b7cda29);
        

        circle_marker_841b1c3e806241579e58cbc9f6fb0438.bindPopup(popup_5132a3b8673d4023a7472172eae14af8)
        ;

        
    
    
            var circle_marker_f5a0448596e74735bd0231e4d9340e68 = L.circleMarker(
                [43.6937813, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_657568a2920c458fae84f1b16112507d = L.popup({"maxWidth": "100%"});

        
            var html_6528a2db021c4861b1543776b5594660 = $(`<div id="html_6528a2db021c4861b1543776b5594660" style="width: 100.0%; height: 100.0%;">Humewood-Cedarvale Cluster 1.0</div>`)[0];
            popup_657568a2920c458fae84f1b16112507d.setContent(html_6528a2db021c4861b1543776b5594660);
        

        circle_marker_f5a0448596e74735bd0231e4d9340e68.bindPopup(popup_657568a2920c458fae84f1b16112507d)
        ;

        
    
    
            var circle_marker_154204d74a3d449c9694f1daf15ac72f = L.circleMarker(
                [43.6435152, -79.57720079999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_0a4f54fc347146438c72a2a01d3b50b7 = L.popup({"maxWidth": "100%"});

        
            var html_39fd1de42ecc464196a9ff11d8c71a6f = $(`<div id="html_39fd1de42ecc464196a9ff11d8c71a6f" style="width: 100.0%; height: 100.0%;">Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood Cluster 1.0</div>`)[0];
            popup_0a4f54fc347146438c72a2a01d3b50b7.setContent(html_39fd1de42ecc464196a9ff11d8c71a6f);
        

        circle_marker_154204d74a3d449c9694f1daf15ac72f.bindPopup(popup_0a4f54fc347146438c72a2a01d3b50b7)
        ;

        
    
    
            var circle_marker_1bbdcf8572444cde99ec351938ce22d5 = L.circleMarker(
                [43.7635726, -79.1887115],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_cc10e6419f0a4f57b6e25148c5dfe924 = L.popup({"maxWidth": "100%"});

        
            var html_ecbbb3412628469484aa120a6ef1a17b = $(`<div id="html_ecbbb3412628469484aa120a6ef1a17b" style="width: 100.0%; height: 100.0%;">Guildwood, Morningside, West Hill Cluster 1.0</div>`)[0];
            popup_cc10e6419f0a4f57b6e25148c5dfe924.setContent(html_ecbbb3412628469484aa120a6ef1a17b);
        

        circle_marker_1bbdcf8572444cde99ec351938ce22d5.bindPopup(popup_cc10e6419f0a4f57b6e25148c5dfe924)
        ;

        
    
    
            var circle_marker_21156336cc9f46678c219db6e067a882 = L.circleMarker(
                [43.67635739999999, -79.2930312],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_e0ab90b41cd046b991b22570422c888d = L.popup({"maxWidth": "100%"});

        
            var html_d15fe022b6d3454683d405e6df0b1841 = $(`<div id="html_d15fe022b6d3454683d405e6df0b1841" style="width: 100.0%; height: 100.0%;">The Beaches Cluster 1.0</div>`)[0];
            popup_e0ab90b41cd046b991b22570422c888d.setContent(html_d15fe022b6d3454683d405e6df0b1841);
        

        circle_marker_21156336cc9f46678c219db6e067a882.bindPopup(popup_e0ab90b41cd046b991b22570422c888d)
        ;

        
    
    
            var circle_marker_31c117ad21b4440f815ca6fac91333ab = L.circleMarker(
                [43.644770799999996, -79.3733064],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_75ef11bc15a24ac98ef1f273037c3e43 = L.popup({"maxWidth": "100%"});

        
            var html_fc84b89da2b349b18cad504abb830772 = $(`<div id="html_fc84b89da2b349b18cad504abb830772" style="width: 100.0%; height: 100.0%;">Berczy Park Cluster 1.0</div>`)[0];
            popup_75ef11bc15a24ac98ef1f273037c3e43.setContent(html_fc84b89da2b349b18cad504abb830772);
        

        circle_marker_31c117ad21b4440f815ca6fac91333ab.bindPopup(popup_75ef11bc15a24ac98ef1f273037c3e43)
        ;

        
    
    
            var circle_marker_9d190f347634486aa44e46804959a6d3 = L.circleMarker(
                [43.6890256, -79.453512],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_f6ff5897790746ac95eaa463b7c33f6d = L.popup({"maxWidth": "100%"});

        
            var html_08686de69cf640ceba6039e44a946e6e = $(`<div id="html_08686de69cf640ceba6039e44a946e6e" style="width: 100.0%; height: 100.0%;">Caledonia-Fairbanks Cluster 0.0</div>`)[0];
            popup_f6ff5897790746ac95eaa463b7c33f6d.setContent(html_08686de69cf640ceba6039e44a946e6e);
        

        circle_marker_9d190f347634486aa44e46804959a6d3.bindPopup(popup_f6ff5897790746ac95eaa463b7c33f6d)
        ;

        
    
    
            var circle_marker_8f3db94377cb4ea7be9bad72ecd8ad2f = L.circleMarker(
                [43.7709921, -79.21691740000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_5298aedac86a488bbf66061eab327d13 = L.popup({"maxWidth": "100%"});

        
            var html_59547b1a26424e35987a509060e907ac = $(`<div id="html_59547b1a26424e35987a509060e907ac" style="width: 100.0%; height: 100.0%;">Woburn Cluster 1.0</div>`)[0];
            popup_5298aedac86a488bbf66061eab327d13.setContent(html_59547b1a26424e35987a509060e907ac);
        

        circle_marker_8f3db94377cb4ea7be9bad72ecd8ad2f.bindPopup(popup_5298aedac86a488bbf66061eab327d13)
        ;

        
    
    
            var circle_marker_75a11284bd284728b722d460302b7707 = L.circleMarker(
                [43.7090604, -79.3634517],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_53c60be4cae440319889cd76f502a3c6 = L.popup({"maxWidth": "100%"});

        
            var html_808753a630214125b2caf297d6bee8c4 = $(`<div id="html_808753a630214125b2caf297d6bee8c4" style="width: 100.0%; height: 100.0%;">Leaside Cluster 1.0</div>`)[0];
            popup_53c60be4cae440319889cd76f502a3c6.setContent(html_808753a630214125b2caf297d6bee8c4);
        

        circle_marker_75a11284bd284728b722d460302b7707.bindPopup(popup_53c60be4cae440319889cd76f502a3c6)
        ;

        
    
    
            var circle_marker_0e088f52cda844fca443cd51b3775f88 = L.circleMarker(
                [43.6579524, -79.3873826],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_849e38d4e1554285b978b1bb58b6ee3f = L.popup({"maxWidth": "100%"});

        
            var html_4ae875b05eff46d88991030b5f495ed6 = $(`<div id="html_4ae875b05eff46d88991030b5f495ed6" style="width: 100.0%; height: 100.0%;">Central Bay Street Cluster 1.0</div>`)[0];
            popup_849e38d4e1554285b978b1bb58b6ee3f.setContent(html_4ae875b05eff46d88991030b5f495ed6);
        

        circle_marker_0e088f52cda844fca443cd51b3775f88.bindPopup(popup_849e38d4e1554285b978b1bb58b6ee3f)
        ;

        
    
    
            var circle_marker_5349d4ad3d4d4b02802608ccbae7b49c = L.circleMarker(
                [43.669542, -79.4225637],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_0bc49903f8cc4d8487819dff0a859622 = L.popup({"maxWidth": "100%"});

        
            var html_e2ddcb19a6084495ba17a821bc58add7 = $(`<div id="html_e2ddcb19a6084495ba17a821bc58add7" style="width: 100.0%; height: 100.0%;">Christie Cluster 1.0</div>`)[0];
            popup_0bc49903f8cc4d8487819dff0a859622.setContent(html_e2ddcb19a6084495ba17a821bc58add7);
        

        circle_marker_5349d4ad3d4d4b02802608ccbae7b49c.bindPopup(popup_0bc49903f8cc4d8487819dff0a859622)
        ;

        
    
    
            var circle_marker_a071d47e8dfa46b78b365c377be1f3c5 = L.circleMarker(
                [43.773136, -79.23947609999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_e7534d383b354e97b04b8d4978f9dad3 = L.popup({"maxWidth": "100%"});

        
            var html_20cffadbc43949deba16e2e6d9b2fd69 = $(`<div id="html_20cffadbc43949deba16e2e6d9b2fd69" style="width: 100.0%; height: 100.0%;">Cedarbrae Cluster 1.0</div>`)[0];
            popup_e7534d383b354e97b04b8d4978f9dad3.setContent(html_20cffadbc43949deba16e2e6d9b2fd69);
        

        circle_marker_a071d47e8dfa46b78b365c377be1f3c5.bindPopup(popup_e7534d383b354e97b04b8d4978f9dad3)
        ;

        
    
    
            var circle_marker_0e5276fdbd6c4bffa0b359a74138c1b1 = L.circleMarker(
                [43.8037622, -79.3634517],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_1147f5a4fa7d462d8e0ea46ae84b361e = L.popup({"maxWidth": "100%"});

        
            var html_564eb9ea35a647fb8538431d332db858 = $(`<div id="html_564eb9ea35a647fb8538431d332db858" style="width: 100.0%; height: 100.0%;">Hillcrest Village Cluster 1.0</div>`)[0];
            popup_1147f5a4fa7d462d8e0ea46ae84b361e.setContent(html_564eb9ea35a647fb8538431d332db858);
        

        circle_marker_0e5276fdbd6c4bffa0b359a74138c1b1.bindPopup(popup_1147f5a4fa7d462d8e0ea46ae84b361e)
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            var circle_marker_c5aae6cd7d9249039d2e4a81b66ee726 = L.circleMarker(
                [43.7543283, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_380d8da258184489898457704e736bee = L.popup({"maxWidth": "100%"});

        
            var html_981c74ff291b4080b6b833cb3fb0c3a8 = $(`<div id="html_981c74ff291b4080b6b833cb3fb0c3a8" style="width: 100.0%; height: 100.0%;">Bathurst Manor, Wilson Heights, Downsview North Cluster 1.0</div>`)[0];
            popup_380d8da258184489898457704e736bee.setContent(html_981c74ff291b4080b6b833cb3fb0c3a8);
        

        circle_marker_c5aae6cd7d9249039d2e4a81b66ee726.bindPopup(popup_380d8da258184489898457704e736bee)
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            var circle_marker_b167aa9afc5442748a9aa9e71dcf9d83 = L.circleMarker(
                [43.7053689, -79.34937190000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_6e51e0d1fb504d34a04702333755c4c5 = L.popup({"maxWidth": "100%"});

        
            var html_d5a3f28389374985bef3d1e9539db55c = $(`<div id="html_d5a3f28389374985bef3d1e9539db55c" style="width: 100.0%; height: 100.0%;">Thorncliffe Park Cluster 1.0</div>`)[0];
            popup_6e51e0d1fb504d34a04702333755c4c5.setContent(html_d5a3f28389374985bef3d1e9539db55c);
        

        circle_marker_b167aa9afc5442748a9aa9e71dcf9d83.bindPopup(popup_6e51e0d1fb504d34a04702333755c4c5)
        ;

        
    
    
            var circle_marker_089ee1bc686f4125b72f451542fd42ab = L.circleMarker(
                [43.65057120000001, -79.3845675],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_6831f8776b1e46d8b6c7bb8c2fe1552d = L.popup({"maxWidth": "100%"});

        
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            popup_6831f8776b1e46d8b6c7bb8c2fe1552d.setContent(html_f990cd5f23884a778aabb94886184a40);
        

        circle_marker_089ee1bc686f4125b72f451542fd42ab.bindPopup(popup_6831f8776b1e46d8b6c7bb8c2fe1552d)
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            var circle_marker_668f1467d4c74d7c82f10c5bf0e7c3d2 = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_b19d4394fb2e4c9d938c4b91336711a2 = L.popup({"maxWidth": "100%"});

        
            var html_41cad6a976f041de99fc89904f5ab2af = $(`<div id="html_41cad6a976f041de99fc89904f5ab2af" style="width: 100.0%; height: 100.0%;">Dufferin, Dovercourt Village Cluster 1.0</div>`)[0];
            popup_b19d4394fb2e4c9d938c4b91336711a2.setContent(html_41cad6a976f041de99fc89904f5ab2af);
        

        circle_marker_668f1467d4c74d7c82f10c5bf0e7c3d2.bindPopup(popup_b19d4394fb2e4c9d938c4b91336711a2)
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            var circle_marker_9f8b4c966be54b9b9582326231935c12 = L.circleMarker(
                [43.7447342, -79.23947609999999],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_8184de9bef164f6eb6b5a4f8c479ed98 = L.popup({"maxWidth": "100%"});

        
            var html_6aace34fed1047ff95481b711d8b416a = $(`<div id="html_6aace34fed1047ff95481b711d8b416a" style="width: 100.0%; height: 100.0%;">Scarborough Village Cluster 2.0</div>`)[0];
            popup_8184de9bef164f6eb6b5a4f8c479ed98.setContent(html_6aace34fed1047ff95481b711d8b416a);
        

        circle_marker_9f8b4c966be54b9b9582326231935c12.bindPopup(popup_8184de9bef164f6eb6b5a4f8c479ed98)
        ;

        
    
    
            var circle_marker_f4b36abdde684925a26cee73ccc4ee0a = L.circleMarker(
                [43.7785175, -79.3465557],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_f1a624d793e144c18c91a7ae5a064f7e = L.popup({"maxWidth": "100%"});

        
            var html_5d574be534b54056ab9807a890df3b40 = $(`<div id="html_5d574be534b54056ab9807a890df3b40" style="width: 100.0%; height: 100.0%;">Fairview, Henry Farm, Oriole Cluster 1.0</div>`)[0];
            popup_f1a624d793e144c18c91a7ae5a064f7e.setContent(html_5d574be534b54056ab9807a890df3b40);
        

        circle_marker_f4b36abdde684925a26cee73ccc4ee0a.bindPopup(popup_f1a624d793e144c18c91a7ae5a064f7e)
        ;

        
    
    
            var circle_marker_fbd28bdbc8894641987499d9be503874 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_2c313567d5974ea18e8b7725a4988a4b = L.popup({"maxWidth": "100%"});

        
            var html_8970fa4ea51d4e8ba9e7711df9ac7bb1 = $(`<div id="html_8970fa4ea51d4e8ba9e7711df9ac7bb1" style="width: 100.0%; height: 100.0%;">Northwood Park, York University Cluster 1.0</div>`)[0];
            popup_2c313567d5974ea18e8b7725a4988a4b.setContent(html_8970fa4ea51d4e8ba9e7711df9ac7bb1);
        

        circle_marker_fbd28bdbc8894641987499d9be503874.bindPopup(popup_2c313567d5974ea18e8b7725a4988a4b)
        ;

        
    
    
            var circle_marker_c99a2ab24bc24961b26a243b66ad6c6d = L.circleMarker(
                [43.685347, -79.3381065],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_93cb0108f7904ec78af1f57186b8b63c = L.popup({"maxWidth": "100%"});

        
            var html_0c10a9df70d94f078d3a9143de816a22 = $(`<div id="html_0c10a9df70d94f078d3a9143de816a22" style="width: 100.0%; height: 100.0%;">East Toronto, Broadview North (Old East York) Cluster 0.0</div>`)[0];
            popup_93cb0108f7904ec78af1f57186b8b63c.setContent(html_0c10a9df70d94f078d3a9143de816a22);
        

        circle_marker_c99a2ab24bc24961b26a243b66ad6c6d.bindPopup(popup_93cb0108f7904ec78af1f57186b8b63c)
        ;

        
    
    
            var circle_marker_999aa59d5a3a437d98ac2f8a50998609 = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_1c0aa3a6d8684f9c89a51be717109685 = L.popup({"maxWidth": "100%"});

        
            var html_62288261bb91406894953cc8e6dcc9f4 = $(`<div id="html_62288261bb91406894953cc8e6dcc9f4" style="width: 100.0%; height: 100.0%;">Harbourfront East, Union Station, Toronto Islands Cluster 1.0</div>`)[0];
            popup_1c0aa3a6d8684f9c89a51be717109685.setContent(html_62288261bb91406894953cc8e6dcc9f4);
        

        circle_marker_999aa59d5a3a437d98ac2f8a50998609.bindPopup(popup_1c0aa3a6d8684f9c89a51be717109685)
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            var circle_marker_2888bd07587e4c83bc553c57680e8e15 = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_5fc827e8140f43f08dbdd1f2916047ee = L.popup({"maxWidth": "100%"});

        
            var html_1a13636e8ce14cc6bc41899bba034595 = $(`<div id="html_1a13636e8ce14cc6bc41899bba034595" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity Cluster 1.0</div>`)[0];
            popup_5fc827e8140f43f08dbdd1f2916047ee.setContent(html_1a13636e8ce14cc6bc41899bba034595);
        

        circle_marker_2888bd07587e4c83bc553c57680e8e15.bindPopup(popup_5fc827e8140f43f08dbdd1f2916047ee)
        ;

        
    
    
            var circle_marker_b755d4ed02944b67bc4f3c13a4ba5b75 = L.circleMarker(
                [43.7279292, -79.26202940000002],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_d99b941fecf147b0a403e470f41dbc9f = L.popup({"maxWidth": "100%"});

        
            var html_16cdbd57dabc40c6a76775f684cd91d1 = $(`<div id="html_16cdbd57dabc40c6a76775f684cd91d1" style="width: 100.0%; height: 100.0%;">Kennedy Park, Ionview, East Birchmount Park Cluster 1.0</div>`)[0];
            popup_d99b941fecf147b0a403e470f41dbc9f.setContent(html_16cdbd57dabc40c6a76775f684cd91d1);
        

        circle_marker_b755d4ed02944b67bc4f3c13a4ba5b75.bindPopup(popup_d99b941fecf147b0a403e470f41dbc9f)
        ;

        
    
    
            var circle_marker_80abaf0973fb4d36bdb49af49877f92f = L.circleMarker(
                [43.7869473, -79.385975],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_ab0aaac054ba477eb146be42ffb9e7f4 = L.popup({"maxWidth": "100%"});

        
            var html_9d26cd6352134c2c9dcdd529847cea6c = $(`<div id="html_9d26cd6352134c2c9dcdd529847cea6c" style="width: 100.0%; height: 100.0%;">Bayview Village Cluster 1.0</div>`)[0];
            popup_ab0aaac054ba477eb146be42ffb9e7f4.setContent(html_9d26cd6352134c2c9dcdd529847cea6c);
        

        circle_marker_80abaf0973fb4d36bdb49af49877f92f.bindPopup(popup_ab0aaac054ba477eb146be42ffb9e7f4)
        ;

        
    
    
            var circle_marker_c47df73db1af40c3a0a1a94bcae3040e = L.circleMarker(
                [43.737473200000004, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_dfeaa9b46f9547a9b2b744377a76a0c7 = L.popup({"maxWidth": "100%"});

        
            var html_b8d888571dde4d6b87e85aee735dabad = $(`<div id="html_b8d888571dde4d6b87e85aee735dabad" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_dfeaa9b46f9547a9b2b744377a76a0c7.setContent(html_b8d888571dde4d6b87e85aee735dabad);
        

        circle_marker_c47df73db1af40c3a0a1a94bcae3040e.bindPopup(popup_dfeaa9b46f9547a9b2b744377a76a0c7)
        ;

        
    
    
            var circle_marker_d68d0c46f81c4440b6151e3f8be0b280 = L.circleMarker(
                [43.6795571, -79.352188],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_46b6cac7a24e4a9fbf667e9ef2e9400a = L.popup({"maxWidth": "100%"});

        
            var html_6559fd150e9b4333a0e87f46efd0b10f = $(`<div id="html_6559fd150e9b4333a0e87f46efd0b10f" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale Cluster 1.0</div>`)[0];
            popup_46b6cac7a24e4a9fbf667e9ef2e9400a.setContent(html_6559fd150e9b4333a0e87f46efd0b10f);
        

        circle_marker_d68d0c46f81c4440b6151e3f8be0b280.bindPopup(popup_46b6cac7a24e4a9fbf667e9ef2e9400a)
        ;

        
    
    
            var circle_marker_a28e808a5940478ebaee3c90d5b62913 = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_dd113b8c95f545a88a1fc3a0e1764e8f = L.popup({"maxWidth": "100%"});

        
            var html_a45f76bb355a4878aace600ea0d7b02b = $(`<div id="html_a45f76bb355a4878aace600ea0d7b02b" style="width: 100.0%; height: 100.0%;">Toronto Dominion Centre, Design Exchange Cluster 1.0</div>`)[0];
            popup_dd113b8c95f545a88a1fc3a0e1764e8f.setContent(html_a45f76bb355a4878aace600ea0d7b02b);
        

        circle_marker_a28e808a5940478ebaee3c90d5b62913.bindPopup(popup_dd113b8c95f545a88a1fc3a0e1764e8f)
        ;

        
    
    
            var circle_marker_c3fcb396f3604b93a7c4d5effbdab388 = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_7f559b622a3b47fa828024b57988c2c7 = L.popup({"maxWidth": "100%"});

        
            var html_017453e71ad34dd68524ed9ffb72f616 = $(`<div id="html_017453e71ad34dd68524ed9ffb72f616" style="width: 100.0%; height: 100.0%;">Brockton, Parkdale Village, Exhibition Place Cluster 1.0</div>`)[0];
            popup_7f559b622a3b47fa828024b57988c2c7.setContent(html_017453e71ad34dd68524ed9ffb72f616);
        

        circle_marker_c3fcb396f3604b93a7c4d5effbdab388.bindPopup(popup_7f559b622a3b47fa828024b57988c2c7)
        ;

        
    
    
            var circle_marker_6a2ca038661a4dbd99163d8fd51eadf6 = L.circleMarker(
                [43.711111700000004, -79.2845772],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_91a27c26c34842478253925e60704f3a = L.popup({"maxWidth": "100%"});

        
            var html_bf3e86c9435d4945b66f474b03786b4a = $(`<div id="html_bf3e86c9435d4945b66f474b03786b4a" style="width: 100.0%; height: 100.0%;">Golden Mile, Clairlea, Oakridge Cluster 1.0</div>`)[0];
            popup_91a27c26c34842478253925e60704f3a.setContent(html_bf3e86c9435d4945b66f474b03786b4a);
        

        circle_marker_6a2ca038661a4dbd99163d8fd51eadf6.bindPopup(popup_91a27c26c34842478253925e60704f3a)
        ;

        
    
    
            var circle_marker_20a7818bbc9e4154a596bbd3c99c8845 = L.circleMarker(
                [43.7390146, -79.5069436],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_0e144c8a860c43cb8d68727287844676 = L.popup({"maxWidth": "100%"});

        
            var html_2551e8a6a6ef493da24c7a89e84cec48 = $(`<div id="html_2551e8a6a6ef493da24c7a89e84cec48" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_0e144c8a860c43cb8d68727287844676.setContent(html_2551e8a6a6ef493da24c7a89e84cec48);
        

        circle_marker_20a7818bbc9e4154a596bbd3c99c8845.bindPopup(popup_0e144c8a860c43cb8d68727287844676)
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            var circle_marker_36fafc996b434c05a130d8077687690d = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_2dd1c90611ba486eadeb423cca725eb3 = L.popup({"maxWidth": "100%"});

        
            var html_b922ac11fd844bd4add27f8e41aca19c = $(`<div id="html_b922ac11fd844bd4add27f8e41aca19c" style="width: 100.0%; height: 100.0%;">India Bazaar, The Beaches West Cluster 1.0</div>`)[0];
            popup_2dd1c90611ba486eadeb423cca725eb3.setContent(html_b922ac11fd844bd4add27f8e41aca19c);
        

        circle_marker_36fafc996b434c05a130d8077687690d.bindPopup(popup_2dd1c90611ba486eadeb423cca725eb3)
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            var circle_marker_dfe58d5d8cfb4116918e16d15913bd54 = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_95476fddec5549f887abd227b4387790 = L.popup({"maxWidth": "100%"});

        
            var html_9dc3ea7669124e479b6da04cc9bde343 = $(`<div id="html_9dc3ea7669124e479b6da04cc9bde343" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 1.0</div>`)[0];
            popup_95476fddec5549f887abd227b4387790.setContent(html_9dc3ea7669124e479b6da04cc9bde343);
        

        circle_marker_dfe58d5d8cfb4116918e16d15913bd54.bindPopup(popup_95476fddec5549f887abd227b4387790)
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            var circle_marker_b2b80559fa984fad89d9fb93623a4668 = L.circleMarker(
                [43.713756200000006, -79.4900738],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_42320f3c60734f4fa7c3b7d68f86900e = L.popup({"maxWidth": "100%"});

        
            var html_7d6b2b7f04c5471aa1c354644925fb92 = $(`<div id="html_7d6b2b7f04c5471aa1c354644925fb92" style="width: 100.0%; height: 100.0%;">North Park, Maple Leaf Park, Upwood Park Cluster 1.0</div>`)[0];
            popup_42320f3c60734f4fa7c3b7d68f86900e.setContent(html_7d6b2b7f04c5471aa1c354644925fb92);
        

        circle_marker_b2b80559fa984fad89d9fb93623a4668.bindPopup(popup_42320f3c60734f4fa7c3b7d68f86900e)
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                [43.7563033, -79.56596329999999],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_7f938b5ee3ed4e5f91a4a23d2cabf236 = L.popup({"maxWidth": "100%"});

        
            var html_6452251d2a7849fd8a4e7ab4b9093cce = $(`<div id="html_6452251d2a7849fd8a4e7ab4b9093cce" style="width: 100.0%; height: 100.0%;">Humber Summit Cluster 2.0</div>`)[0];
            popup_7f938b5ee3ed4e5f91a4a23d2cabf236.setContent(html_6452251d2a7849fd8a4e7ab4b9093cce);
        

        circle_marker_63a81eeea5904ca08fc2751f15ddaa1b.bindPopup(popup_7f938b5ee3ed4e5f91a4a23d2cabf236)
        ;

        
    
    
            var circle_marker_4f4a6b2ab67344aa8c08d1c0a219e0f5 = L.circleMarker(
                [43.716316, -79.23947609999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_315fa143f6d4435c881fc2988aca78c1 = L.popup({"maxWidth": "100%"});

        
            var html_40ac9c38ceda4ffdba88a4b2aa414f63 = $(`<div id="html_40ac9c38ceda4ffdba88a4b2aa414f63" style="width: 100.0%; height: 100.0%;">Cliffside, Cliffcrest, Scarborough Village West Cluster 1.0</div>`)[0];
            popup_315fa143f6d4435c881fc2988aca78c1.setContent(html_40ac9c38ceda4ffdba88a4b2aa414f63);
        

        circle_marker_4f4a6b2ab67344aa8c08d1c0a219e0f5.bindPopup(popup_315fa143f6d4435c881fc2988aca78c1)
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            var circle_marker_7b2a1747996b4e18b1509242ca3be755 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_e47e40839f5c452fa5ee7bf5d99d3196 = L.popup({"maxWidth": "100%"});

        
            var html_f20c1086c2b84ffb8fa504e5fe55823b = $(`<div id="html_f20c1086c2b84ffb8fa504e5fe55823b" style="width: 100.0%; height: 100.0%;">Willowdale, Newtonbrook Cluster 0.0</div>`)[0];
            popup_e47e40839f5c452fa5ee7bf5d99d3196.setContent(html_f20c1086c2b84ffb8fa504e5fe55823b);
        

        circle_marker_7b2a1747996b4e18b1509242ca3be755.bindPopup(popup_e47e40839f5c452fa5ee7bf5d99d3196)
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            var circle_marker_fcff2de06907430d943057e4bc9f9c95 = L.circleMarker(
                [43.7284964, -79.49569740000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_749464cd9da847eab131e626d5cc5f9f = L.popup({"maxWidth": "100%"});

        
            var html_1db0b13baf1b4201a721704da2f5a697 = $(`<div id="html_1db0b13baf1b4201a721704da2f5a697" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_749464cd9da847eab131e626d5cc5f9f.setContent(html_1db0b13baf1b4201a721704da2f5a697);
        

        circle_marker_fcff2de06907430d943057e4bc9f9c95.bindPopup(popup_749464cd9da847eab131e626d5cc5f9f)
        ;

        
    
    
            var circle_marker_b7258427469c4a58b1a7acc2fdcd7a1f = L.circleMarker(
                [43.6595255, -79.340923],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_05d2382022644ef3ae82c4229a4df809 = L.popup({"maxWidth": "100%"});

        
            var html_c1a424d480f04e9ca8aad2eeccb2a04c = $(`<div id="html_c1a424d480f04e9ca8aad2eeccb2a04c" style="width: 100.0%; height: 100.0%;">Studio District Cluster 1.0</div>`)[0];
            popup_05d2382022644ef3ae82c4229a4df809.setContent(html_c1a424d480f04e9ca8aad2eeccb2a04c);
        

        circle_marker_b7258427469c4a58b1a7acc2fdcd7a1f.bindPopup(popup_05d2382022644ef3ae82c4229a4df809)
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            var circle_marker_c218128f00014be19b8403a8024f9d22 = L.circleMarker(
                [43.7332825, -79.4197497],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_31c12c578ffb4919a97ea20ac7033c0e = L.popup({"maxWidth": "100%"});

        
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            popup_31c12c578ffb4919a97ea20ac7033c0e.setContent(html_36dbbeea204f41798a9641c0ca835256);
        

        circle_marker_c218128f00014be19b8403a8024f9d22.bindPopup(popup_31c12c578ffb4919a97ea20ac7033c0e)
        ;

        
    
    
            var circle_marker_0d705afc7f624bbf81b2c5279f00d9d8 = L.circleMarker(
                [43.6911158, -79.47601329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_12f4a7df524e4ecf950bda46b9fbdde3 = L.popup({"maxWidth": "100%"});

        
            var html_5b7e4a2dc7c94c37b1c531bbb8718576 = $(`<div id="html_5b7e4a2dc7c94c37b1c531bbb8718576" style="width: 100.0%; height: 100.0%;">Del Ray, Mount Dennis, Keelsdale and Silverthorn Cluster 1.0</div>`)[0];
            popup_12f4a7df524e4ecf950bda46b9fbdde3.setContent(html_5b7e4a2dc7c94c37b1c531bbb8718576);
        

        circle_marker_0d705afc7f624bbf81b2c5279f00d9d8.bindPopup(popup_12f4a7df524e4ecf950bda46b9fbdde3)
        ;

        
    
    
            var circle_marker_d4f0915437944622b058dba23e2ae5fd = L.circleMarker(
                [43.7247659, -79.53224240000002],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_7de6ad345f534fd3af0616f068b4ee26 = L.popup({"maxWidth": "100%"});

        
            var html_48969c0b2ee84eb6bec20ec25c3bc1db = $(`<div id="html_48969c0b2ee84eb6bec20ec25c3bc1db" style="width: 100.0%; height: 100.0%;">Humberlea, Emery Cluster 3.0</div>`)[0];
            popup_7de6ad345f534fd3af0616f068b4ee26.setContent(html_48969c0b2ee84eb6bec20ec25c3bc1db);
        

        circle_marker_d4f0915437944622b058dba23e2ae5fd.bindPopup(popup_7de6ad345f534fd3af0616f068b4ee26)
        ;

        
    
    
            var circle_marker_a2fa4e9131af4ba8af9b663f8999b407 = L.circleMarker(
                [43.692657000000004, -79.2648481],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_deb838fe2aef46c7af31855162a41481 = L.popup({"maxWidth": "100%"});

        
            var html_5b301a67361f4ef7859ab3f9ce0e1d3d = $(`<div id="html_5b301a67361f4ef7859ab3f9ce0e1d3d" style="width: 100.0%; height: 100.0%;">Birch Cliff, Cliffside West Cluster 1.0</div>`)[0];
            popup_deb838fe2aef46c7af31855162a41481.setContent(html_5b301a67361f4ef7859ab3f9ce0e1d3d);
        

        circle_marker_a2fa4e9131af4ba8af9b663f8999b407.bindPopup(popup_deb838fe2aef46c7af31855162a41481)
        ;

        
    
    
            var circle_marker_258a1f31383e47cda2c18d0ee7a42c8d = L.circleMarker(
                [43.7701199, -79.40849279999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_33027e02cb914528baf599f870835135 = L.popup({"maxWidth": "100%"});

        
            var html_2317398ab5954f049ab228ce621b18dd = $(`<div id="html_2317398ab5954f049ab228ce621b18dd" style="width: 100.0%; height: 100.0%;">Willowdale, Willowdale East Cluster 1.0</div>`)[0];
            popup_33027e02cb914528baf599f870835135.setContent(html_2317398ab5954f049ab228ce621b18dd);
        

        circle_marker_258a1f31383e47cda2c18d0ee7a42c8d.bindPopup(popup_33027e02cb914528baf599f870835135)
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            var circle_marker_b0023414d7ff4bac9cd304f1995f84af = L.circleMarker(
                [43.7616313, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_67f479a6281e41fb933599e2d581276e = L.popup({"maxWidth": "100%"});

        
            var html_48475b49a0a54da380169352576aee88 = $(`<div id="html_48475b49a0a54da380169352576aee88" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_67f479a6281e41fb933599e2d581276e.setContent(html_48475b49a0a54da380169352576aee88);
        

        circle_marker_b0023414d7ff4bac9cd304f1995f84af.bindPopup(popup_67f479a6281e41fb933599e2d581276e)
        ;

        
    
    
            var circle_marker_a00a36417d2f4304bfa92c291efe222b = L.circleMarker(
                [43.7280205, -79.3887901],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_9ac54f8bdc5444a38ff1713dde5e9751 = L.popup({"maxWidth": "100%"});

        
            var html_7cdf596f7eed4e86b64750d7c097f2fb = $(`<div id="html_7cdf596f7eed4e86b64750d7c097f2fb" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 1.0</div>`)[0];
            popup_9ac54f8bdc5444a38ff1713dde5e9751.setContent(html_7cdf596f7eed4e86b64750d7c097f2fb);
        

        circle_marker_a00a36417d2f4304bfa92c291efe222b.bindPopup(popup_9ac54f8bdc5444a38ff1713dde5e9751)
        ;

        
    
    
            var circle_marker_694e378f8aed4df28edcb7be0503fe1b = L.circleMarker(
                [43.7116948, -79.41693559999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_060119ca40114347bcbb2b51fcdc4c0e = L.popup({"maxWidth": "100%"});

        
            var html_58d6749c6124402d97e241f5c453997f = $(`<div id="html_58d6749c6124402d97e241f5c453997f" style="width: 100.0%; height: 100.0%;">Roselawn Cluster 1.0</div>`)[0];
            popup_060119ca40114347bcbb2b51fcdc4c0e.setContent(html_58d6749c6124402d97e241f5c453997f);
        

        circle_marker_694e378f8aed4df28edcb7be0503fe1b.bindPopup(popup_060119ca40114347bcbb2b51fcdc4c0e)
        ;

        
    
    
            var circle_marker_a789538af6624fe7b216cf0e092727f6 = L.circleMarker(
                [43.67318529999999, -79.48726190000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_2f4dbac557fe4515b7c325cdce0ee850 = L.popup({"maxWidth": "100%"});

        
            var html_4baa2c5382884408a905a3ca59ae1c34 = $(`<div id="html_4baa2c5382884408a905a3ca59ae1c34" style="width: 100.0%; height: 100.0%;">Runnymede, The Junction North Cluster 1.0</div>`)[0];
            popup_2f4dbac557fe4515b7c325cdce0ee850.setContent(html_4baa2c5382884408a905a3ca59ae1c34);
        

        circle_marker_a789538af6624fe7b216cf0e092727f6.bindPopup(popup_2f4dbac557fe4515b7c325cdce0ee850)
        ;

        
    
    
            var circle_marker_03634cbeadfc4c8dbbdbd7d836bfe99d = L.circleMarker(
                [43.706876, -79.51818840000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_1a6e90019cf243a6a5dc1352ad7b4524 = L.popup({"maxWidth": "100%"});

        
            var html_3bed22ab3c2d40c3a9799e3bfc63b614 = $(`<div id="html_3bed22ab3c2d40c3a9799e3bfc63b614" style="width: 100.0%; height: 100.0%;">Weston Cluster 0.0</div>`)[0];
            popup_1a6e90019cf243a6a5dc1352ad7b4524.setContent(html_3bed22ab3c2d40c3a9799e3bfc63b614);
        

        circle_marker_03634cbeadfc4c8dbbdbd7d836bfe99d.bindPopup(popup_1a6e90019cf243a6a5dc1352ad7b4524)
        ;

        
    
    
            var circle_marker_91b50f9b5cfb4e0eac29c3d83afb1040 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_d20c498962764fb7a09c4b8665469ec2 = L.popup({"maxWidth": "100%"});

        
            var html_e3c37e3dacac4cd0930c3a854cef7e2e = $(`<div id="html_e3c37e3dacac4cd0930c3a854cef7e2e" style="width: 100.0%; height: 100.0%;">Dorset Park, Wexford Heights, Scarborough Town Centre Cluster 1.0</div>`)[0];
            popup_d20c498962764fb7a09c4b8665469ec2.setContent(html_e3c37e3dacac4cd0930c3a854cef7e2e);
        

        circle_marker_91b50f9b5cfb4e0eac29c3d83afb1040.bindPopup(popup_d20c498962764fb7a09c4b8665469ec2)
        ;

        
    
    
            var circle_marker_8e32e53ae5fe457795b99d9c89ef3c45 = L.circleMarker(
                [43.752758299999996, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_73ab9d760ce94b36b6650bc58a282d9f = L.popup({"maxWidth": "100%"});

        
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            popup_73ab9d760ce94b36b6650bc58a282d9f.setContent(html_1f82804290ca47b5aa90510756900db2);
        

        circle_marker_8e32e53ae5fe457795b99d9c89ef3c45.bindPopup(popup_73ab9d760ce94b36b6650bc58a282d9f)
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            var circle_marker_02b94d3a8d4542e1a9fe3e1272d9a78b = L.circleMarker(
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        var popup_bd20b8724cf54497ab661f7cd484864c = L.popup({"maxWidth": "100%"});

        
            var html_fec6ea8e9be54d7ebfe7dfde321e3b1f = $(`<div id="html_fec6ea8e9be54d7ebfe7dfde321e3b1f" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 1.0</div>`)[0];
            popup_bd20b8724cf54497ab661f7cd484864c.setContent(html_fec6ea8e9be54d7ebfe7dfde321e3b1f);
        

        circle_marker_02b94d3a8d4542e1a9fe3e1272d9a78b.bindPopup(popup_bd20b8724cf54497ab661f7cd484864c)
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            var circle_marker_247d1e37f334489196a23b06c5164675 = L.circleMarker(
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        var popup_71d083d5feb74240ba907ffca8442c7e = L.popup({"maxWidth": "100%"});

        
            var html_1ec93082a45d4d3ba3583f0cc2d80397 = $(`<div id="html_1ec93082a45d4d3ba3583f0cc2d80397" style="width: 100.0%; height: 100.0%;">Forest Hill North &amp; West, Forest Hill Road Park Cluster 1.0</div>`)[0];
            popup_71d083d5feb74240ba907ffca8442c7e.setContent(html_1ec93082a45d4d3ba3583f0cc2d80397);
        

        circle_marker_247d1e37f334489196a23b06c5164675.bindPopup(popup_71d083d5feb74240ba907ffca8442c7e)
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            var circle_marker_61e0af4918514dbcabe34714fe9317ac = L.circleMarker(
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        var popup_7586849df19e49cc84f71fc84d2b8333 = L.popup({"maxWidth": "100%"});

        
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            popup_7586849df19e49cc84f71fc84d2b8333.setContent(html_4be64737aa664e44aba0fe56f17b8607);
        

        circle_marker_61e0af4918514dbcabe34714fe9317ac.bindPopup(popup_7586849df19e49cc84f71fc84d2b8333)
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            var circle_marker_10a03500d8834907873f5f383e655dfa = L.circleMarker(
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            popup_46477b37e8c649bb9a63c3e28a477098.setContent(html_e3d678ef383a431fa3db6ddc28cc9e2d);
        

        circle_marker_10a03500d8834907873f5f383e655dfa.bindPopup(popup_46477b37e8c649bb9a63c3e28a477098)
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            var circle_marker_174a4c6f3a994f84a1743e4d75b268e3 = L.circleMarker(
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        var popup_dd7da60313e74d4ba7bd4443e68cb6cd = L.popup({"maxWidth": "100%"});

        
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        circle_marker_174a4c6f3a994f84a1743e4d75b268e3.bindPopup(popup_dd7da60313e74d4ba7bd4443e68cb6cd)
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            var circle_marker_3f027b6ec53a467c8fd04e9abc5ba8ab = L.circleMarker(
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        var popup_f9d41d91abfc4ca3968a9a4f17f9c0ba = L.popup({"maxWidth": "100%"});

        
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        circle_marker_3f027b6ec53a467c8fd04e9abc5ba8ab.bindPopup(popup_f9d41d91abfc4ca3968a9a4f17f9c0ba)
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            var circle_marker_ba19d38d72f2404dafaa2546eb26ce9d = L.circleMarker(
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        var popup_97ae572e0db945eaa614a36f6e2b4eeb = L.popup({"maxWidth": "100%"});

        
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            popup_97ae572e0db945eaa614a36f6e2b4eeb.setContent(html_b521e236a702451d983135845ed5ced4);
        

        circle_marker_ba19d38d72f2404dafaa2546eb26ce9d.bindPopup(popup_97ae572e0db945eaa614a36f6e2b4eeb)
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            popup_d0cc14ad66134273b74042d3c55b2440.setContent(html_807961a8ba6b4fa9b3741e21bcd61a38);
        

        circle_marker_e9416bc60d2b4f34aab7fd376751c2c1.bindPopup(popup_d0cc14ad66134273b74042d3c55b2440)
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_98c8e6f52bc646f39977c8f46791b832 = L.popup({"maxWidth": "100%"});

        
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            popup_98c8e6f52bc646f39977c8f46791b832.setContent(html_851e867f31674946bb225d103678a532);
        

        circle_marker_b6a51a7adbbf4f289268fb2f341c9f81.bindPopup(popup_98c8e6f52bc646f39977c8f46791b832)
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            var circle_marker_88a1950e994e47438c4a1abe418ed021 = L.circleMarker(
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        var popup_95e58f0771664833890d82bfde91af9f = L.popup({"maxWidth": "100%"});

        
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            popup_95e58f0771664833890d82bfde91af9f.setContent(html_9aa2216d119e4c49a8a17b933d8d604b);
        

        circle_marker_88a1950e994e47438c4a1abe418ed021.bindPopup(popup_95e58f0771664833890d82bfde91af9f)
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        var popup_d64641461f2d4a6d97eda4c95cd0cdab = L.popup({"maxWidth": "100%"});

        
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            popup_d64641461f2d4a6d97eda4c95cd0cdab.setContent(html_a59bb4fe46b34c62b1ba1b0dcd786865);
        

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        var popup_52f4ccf679104dd3b77d8f34006414c4 = L.popup({"maxWidth": "100%"});

        
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            popup_52f4ccf679104dd3b77d8f34006414c4.setContent(html_0c9d203bdf784ca2a8ee6521b7401f70);
        

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            var circle_marker_649901acd96349e08a276f2a8d286290 = L.circleMarker(
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        var popup_3e4b5479f48e424dae7a5240cfb1e279 = L.popup({"maxWidth": "100%"});

        
            var html_c9dba8fdfd82490eb5cc4e59a468a11e = $(`<div id="html_c9dba8fdfd82490eb5cc4e59a468a11e" style="width: 100.0%; height: 100.0%;">Davisville Cluster 1.0</div>`)[0];
            popup_3e4b5479f48e424dae7a5240cfb1e279.setContent(html_c9dba8fdfd82490eb5cc4e59a468a11e);
        

        circle_marker_649901acd96349e08a276f2a8d286290.bindPopup(popup_3e4b5479f48e424dae7a5240cfb1e279)
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            var circle_marker_1af30696eb41485b86ebd10d26039bf6 = L.circleMarker(
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        var popup_81f49e78879c4f91a679769a7195e065 = L.popup({"maxWidth": "100%"});

        
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            popup_81f49e78879c4f91a679769a7195e065.setContent(html_875fe5b3950c450d85dc9ca476928dea);
        

        circle_marker_1af30696eb41485b86ebd10d26039bf6.bindPopup(popup_81f49e78879c4f91a679769a7195e065)
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            var circle_marker_cc5a67f7425745c199cc0eeb40a1ba8f = L.circleMarker(
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        var popup_e4af2c5bb8bf4d438e4cdba0542b5aba = L.popup({"maxWidth": "100%"});

        
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            popup_e4af2c5bb8bf4d438e4cdba0542b5aba.setContent(html_b164fd3d9fcd46b1b50f39243aedcce3);
        

        circle_marker_cc5a67f7425745c199cc0eeb40a1ba8f.bindPopup(popup_e4af2c5bb8bf4d438e4cdba0542b5aba)
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            popup_bbc8744f012541f99cb5e1d6705a3b6c.setContent(html_a266f866ae1045368da120281920a02f);
        

        circle_marker_d704b69b7ce34c8181d2997133dcc000.bindPopup(popup_bbc8744f012541f99cb5e1d6705a3b6c)
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            popup_be0d6c8acfae4a8c91a811d4992c402a.setContent(html_3fb62831ca334b83a68c20e0c484794d);
        

        circle_marker_97f83b2e73fd441db9e88e8a78e11f32.bindPopup(popup_be0d6c8acfae4a8c91a811d4992c402a)
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            var circle_marker_df0dfb2f832b48b095949024f724c8c2 = L.circleMarker(
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            popup_70445a7f444b415d8dd9c0e9c109f77d.setContent(html_d357d42e7b4147b0951cb953b306df83);
        

        circle_marker_df0dfb2f832b48b095949024f724c8c2.bindPopup(popup_70445a7f444b415d8dd9c0e9c109f77d)
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            var circle_marker_36fc2c8da4dc4a24a5ba402306c5b0c0 = L.circleMarker(
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            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_d797ccae418d4eb98d9d5494a5082374 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_36fc2c8da4dc4a24a5ba402306c5b0c0.bindPopup(popup_d797ccae418d4eb98d9d5494a5082374)
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        var popup_e2f3dc2c9c4c49e4aac5b18de8400179 = L.popup({"maxWidth": "100%"});

        
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            var circle_marker_24e523b0168d40b0b43b15f5994da48b = L.circleMarker(
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        circle_marker_24e523b0168d40b0b43b15f5994da48b.bindPopup(popup_e050dbe6eb9a4a8aaad02132e81d3926)
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        circle_marker_d4667b4acd1f4341b6bd7d07b92836d3.bindPopup(popup_c49733bec15144da83bf7c33d06d24f6)
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            var circle_marker_eeb4f88f85174b3e854e67dfd9528399 = L.circleMarker(
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        circle_marker_eeb4f88f85174b3e854e67dfd9528399.bindPopup(popup_ee9831569c164a72a447a2536b4d111d)
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        var popup_072064e941884c8e89278138e8f0a792 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_d8bf5d26b3c14cae841aa95fcaa5aab5.bindPopup(popup_072064e941884c8e89278138e8f0a792)
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            var circle_marker_b02076938969440295e69ba5890fd7a6 = L.circleMarker(
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        circle_marker_b02076938969440295e69ba5890fd7a6.bindPopup(popup_251f7b2af176478592708719a5644748)
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            var circle_marker_5b6de0e543ec40e892063bb00309c313 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_8b3bced3fa944ceaa76166d8fe996cfd = L.popup({"maxWidth": "100%"});

        
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            popup_8b3bced3fa944ceaa76166d8fe996cfd.setContent(html_eb23fbfdd6cb4dfcadf791726928d59e);
        

        circle_marker_5b6de0e543ec40e892063bb00309c313.bindPopup(popup_8b3bced3fa944ceaa76166d8fe996cfd)
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            var circle_marker_2859577ba5124b018b4c608d1592b94c = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_422c8a01e11247fcaf77cd21e7d63468 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_2859577ba5124b018b4c608d1592b94c.bindPopup(popup_422c8a01e11247fcaf77cd21e7d63468)
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            var circle_marker_8b7fcaad7b3d4a7fb0649caa16dbd263 = L.circleMarker(
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        var popup_4891d49ea3ca4e6e931500173b7965bf = L.popup({"maxWidth": "100%"});

        
            var html_a601db016b034738b7f9322931858b3e = $(`<div id="html_a601db016b034738b7f9322931858b3e" style="width: 100.0%; height: 100.0%;">The Kingsway, Montgomery Road, Old Mill North Cluster 1.0</div>`)[0];
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        circle_marker_8b7fcaad7b3d4a7fb0649caa16dbd263.bindPopup(popup_4891d49ea3ca4e6e931500173b7965bf)
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            var circle_marker_ccf8a7bd872b4d43bd188fe1b80826c1 = L.circleMarker(
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        var popup_f32239b2645946e49e9a944d2464d685 = L.popup({"maxWidth": "100%"});

        
            var html_ea2b568585c34217a30f1c66e9624c21 = $(`<div id="html_ea2b568585c34217a30f1c66e9624c21" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 1.0</div>`)[0];
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        circle_marker_ccf8a7bd872b4d43bd188fe1b80826c1.bindPopup(popup_f32239b2645946e49e9a944d2464d685)
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            var circle_marker_a9615e9c25ab4c2ebe224b952f581951 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cdc3084dc3e04e558fd1ea13333e0d85);
        
    
        var popup_b78edee1b25e424c952a655de98abd8f = L.popup({"maxWidth": "100%"});

        
            var html_ac0cfd0f16904d6489da6f73182873b9 = $(`<div id="html_ac0cfd0f16904d6489da6f73182873b9" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto Cluster 1.0</div>`)[0];
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            var circle_marker_9bfb94e93d62435dbb132d766089d65d = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        circle_marker_0c0d2f2b82e04f458f7eacee08b49281.bindPopup(popup_ead2e309bb3149309eefe58221333cab)
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>" + ], + "text/plain": [ + "<folium.folium.Map at 0x1a065958388>" + ] + }, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import matplotlib.cm as cm\n", + "import matplotlib.colors as colors\n", + "\n", + "# create map\n", + "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n", + "\n", + "# set color scheme for the clusters\n", + "x = np.arange(kclusters)\n", + "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n", + "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n", + "rainbow = [colors.rgb2hex(i) for i in colors_array]\n", + "\n", + "toronto_merged_nonan = toronto_merged.dropna(subset=['Cluster Labels'])\n", + "\n", + "# add markers to the map\n", + "markers_colors = []\n", + "for lat, lon, poi, cluster in zip(toronto_merged_nonan['Latitude'], toronto_merged_nonan['Longitude'], toronto_merged_nonan['Neighbourhood'], toronto_merged_nonan['Cluster Labels']):\n", + " label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n", + " folium.CircleMarker(\n", + " [lat, lon],\n", + " radius=5,\n", + " popup=label,\n", + " color=rainbow[int(cluster-1)],\n", + " fill=True,\n", + " fill_color=rainbow[int(cluster-1)],\n", + " fill_opacity=0.7).add_to(map_clusters)\n", + " \n", + "map_clusters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cluster 1" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "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>Borough</th>\n", + " <th>Cluster Labels</th>\n", + " <th>1st Most Common Venue</th>\n", + " <th>2nd Most Common Venue</th>\n", + " <th>3rd Most Common Venue</th>\n", + " <th>4th Most Common Venue</th>\n", + " <th>5th Most Common Venue</th>\n", + " <th>6th Most Common Venue</th>\n", + " <th>7th Most Common Venue</th>\n", + " <th>8th Most Common Venue</th>\n", + " <th>9th Most Common Venue</th>\n", + " <th>10th Most Common Venue</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>North York</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Food & Drink Shop</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Donut Shop</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Drugstore</td>\n", + " </tr>\n", + " <tr>\n", + " <th>21</th>\n", + " <td>York</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Women's Store</td>\n", + " <td>Pool</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " </tr>\n", + " <tr>\n", + " <th>35</th>\n", + " <td>East York</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Convenience Store</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Donut Shop</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Dumpling Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>52</th>\n", + " <td>North York</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Donut Shop</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Drugstore</td>\n", + " </tr>\n", + " <tr>\n", + " <th>64</th>\n", + " <td>York</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Convenience Store</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Donut Shop</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Dumpling Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>66</th>\n", + " <td>North York</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Construction & Landscaping</td>\n", + " <td>Convenience Store</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Donut Shop</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>85</th>\n", + " <td>Scarborough</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Playground</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " </tr>\n", + " <tr>\n", + " <th>91</th>\n", + " <td>Downtown Toronto</td>\n", + " <td>0.0</td>\n", + " <td>Park</td>\n", + " <td>Trail</td>\n", + " <td>Playground</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Dessert Shop</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Borough Cluster Labels 1st Most Common Venue \\\n", + "0 North York 0.0 Park \n", + "21 York 0.0 Park \n", + "35 East York 0.0 Park \n", + "52 North York 0.0 Park \n", + "64 York 0.0 Park \n", + "66 North York 0.0 Park \n", + "85 Scarborough 0.0 Park \n", + "91 Downtown Toronto 0.0 Park \n", + "\n", + " 2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue \\\n", + "0 Food & Drink Shop Yoga Studio Donut Shop \n", + "21 Women's Store Pool Yoga Studio \n", + "35 Convenience Store Yoga Studio Donut Shop \n", + "52 Yoga Studio Donut Shop Dim Sum Restaurant \n", + "64 Convenience Store Yoga Studio Donut Shop \n", + "66 Construction & Landscaping Convenience Store Yoga Studio \n", + "85 Playground Coffee Shop Yoga Studio \n", + "91 Trail Playground Yoga Studio \n", + "\n", + " 5th Most Common Venue 6th Most Common Venue 7th Most Common Venue \\\n", + "0 Diner Discount Store Distribution Center \n", + "21 Doner Restaurant Dim Sum Restaurant Diner \n", + "35 Diner Discount Store Distribution Center \n", + "52 Diner Discount Store Distribution Center \n", + "64 Diner Discount Store Distribution Center \n", + "66 Donut Shop Diner Discount Store \n", + "85 Doner Restaurant Dim Sum Restaurant Diner \n", + "91 Dessert Shop Dim Sum Restaurant Diner \n", + "\n", + " 8th Most Common Venue 9th Most Common Venue 10th Most Common Venue \n", + "0 Dog Run Doner Restaurant Drugstore \n", + "21 Discount Store Distribution Center Dog Run \n", + "35 Dog Run Doner Restaurant Dumpling Restaurant \n", + "52 Dog Run Doner Restaurant Drugstore \n", + "64 Dog Run Doner Restaurant Dumpling Restaurant \n", + "66 Distribution Center Dog Run Doner Restaurant \n", + "85 Discount Store Distribution Center Dog Run \n", + "91 Discount Store Distribution Center Dog Run " + ] + }, + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "toronto_merged_nonan.loc[toronto_merged_nonan['Cluster Labels'] == 0, toronto_merged_nonan.columns[[1] + list(range(5, toronto_merged_nonan.shape[1]))]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cluster 2" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "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>Borough</th>\n", + " <th>Cluster Labels</th>\n", + " <th>1st Most Common Venue</th>\n", + " <th>2nd Most Common Venue</th>\n", + " <th>3rd Most Common Venue</th>\n", + " <th>4th Most Common Venue</th>\n", + " <th>5th Most Common Venue</th>\n", + " <th>6th Most Common Venue</th>\n", + " <th>7th Most Common Venue</th>\n", + " <th>8th Most Common Venue</th>\n", + " <th>9th Most Common Venue</th>\n", + " <th>10th Most Common Venue</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>North York</td>\n", + " <td>1.0</td>\n", + " <td>Hockey Arena</td>\n", + " <td>Pizza Place</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Portuguese Restaurant</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>Downtown Toronto</td>\n", + " <td>1.0</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Bakery</td>\n", + " <td>Pub</td>\n", + " <td>Park</td>\n", + " <td>Breakfast Spot</td>\n", + " <td>Café</td>\n", + " <td>Theater</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Mexican Restaurant</td>\n", + " <td>Shoe Store</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>North York</td>\n", + " <td>1.0</td>\n", + " <td>Clothing Store</td>\n", + " <td>Accessories Store</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Boutique</td>\n", + " <td>Miscellaneous Shop</td>\n", + " <td>Event Space</td>\n", + " <td>Furniture / Home Store</td>\n", + " <td>Women's Store</td>\n", + " <td>Vietnamese Restaurant</td>\n", + " <td>Convenience Store</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>Downtown Toronto</td>\n", + " <td>1.0</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Diner</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Bar</td>\n", + " <td>Beer Bar</td>\n", + " <td>Smoothie Shop</td>\n", + " <td>Sandwich Place</td>\n", + " <td>Burrito Place</td>\n", + " <td>Café</td>\n", + " <td>Park</td>\n", + " </tr>\n", + " <tr>\n", + " <th>6</th>\n", + " <td>Scarborough</td>\n", + " <td>1.0</td>\n", + " <td>Print Shop</td>\n", + " <td>Fast Food Restaurant</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Donut Shop</td>\n", + " </tr>\n", + " <tr>\n", + " <th>...</th>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " <td>...</td>\n", + " </tr>\n", + " <tr>\n", + " <th>97</th>\n", + " <td>Downtown Toronto</td>\n", + " <td>1.0</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Café</td>\n", + " <td>Hotel</td>\n", + " <td>Restaurant</td>\n", + " <td>Gym</td>\n", + " <td>Japanese Restaurant</td>\n", + " <td>American Restaurant</td>\n", + " <td>Steakhouse</td>\n", + " <td>Asian Restaurant</td>\n", + " <td>Seafood Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>98</th>\n", + " <td>Etobicoke</td>\n", + " <td>1.0</td>\n", + " <td>River</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Dessert Shop</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Department Store</td>\n", + " </tr>\n", + " <tr>\n", + " <th>99</th>\n", + " <td>Downtown Toronto</td>\n", + " <td>1.0</td>\n", + " <td>Coffee Shop</td>\n", + " <td>Sushi Restaurant</td>\n", + " <td>Japanese Restaurant</td>\n", + " <td>Gay Bar</td>\n", + " <td>Restaurant</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Bubble Tea Shop</td>\n", + " <td>Dance Studio</td>\n", + " <td>Mediterranean Restaurant</td>\n", + " <td>Men's Store</td>\n", + " </tr>\n", + " <tr>\n", + " <th>100</th>\n", + " <td>East Toronto</td>\n", + " <td>1.0</td>\n", + " <td>Light Rail Station</td>\n", + " <td>Yoga Studio</td>\n", + " <td>Auto Workshop</td>\n", + " <td>Smoke Shop</td>\n", + " <td>Brewery</td>\n", + " <td>Spa</td>\n", + " <td>Farmers Market</td>\n", + " <td>Fast Food Restaurant</td>\n", + " <td>Burrito Place</td>\n", + " <td>Restaurant</td>\n", + " </tr>\n", + " <tr>\n", + " <th>102</th>\n", + " <td>Etobicoke</td>\n", + " <td>1.0</td>\n", + " <td>Grocery Store</td>\n", + " <td>Tanning Salon</td>\n", + " <td>Convenience Store</td>\n", + " <td>Discount Store</td>\n", + " <td>Burrito Place</td>\n", + " <td>Burger Joint</td>\n", + " <td>Sandwich Place</td>\n", + " <td>Kids Store</td>\n", + " <td>Supplement Shop</td>\n", + " <td>Bakery</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "<p>87 rows × 12 columns</p>\n", + "</div>" + ], + "text/plain": [ + " Borough Cluster Labels 1st Most Common Venue \\\n", + "1 North York 1.0 Hockey Arena \n", + "2 Downtown Toronto 1.0 Coffee Shop \n", + "3 North York 1.0 Clothing Store \n", + "4 Downtown Toronto 1.0 Coffee Shop \n", + "6 Scarborough 1.0 Print Shop \n", + ".. ... ... ... \n", + "97 Downtown Toronto 1.0 Coffee Shop \n", + "98 Etobicoke 1.0 River \n", + "99 Downtown Toronto 1.0 Coffee Shop \n", + "100 East Toronto 1.0 Light Rail Station \n", + "102 Etobicoke 1.0 Grocery Store \n", + "\n", + " 2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue \\\n", + "1 Pizza Place Coffee Shop Portuguese Restaurant \n", + "2 Bakery Pub Park \n", + "3 Accessories Store Coffee Shop Boutique \n", + "4 Diner Yoga Studio Bar \n", + "6 Fast Food Restaurant Yoga Studio Dim Sum Restaurant \n", + ".. ... ... ... \n", + "97 Café Hotel Restaurant \n", + "98 Doner Restaurant Dessert Shop Dim Sum Restaurant \n", + "99 Sushi Restaurant Japanese Restaurant Gay Bar \n", + "100 Yoga Studio Auto Workshop Smoke Shop \n", + "102 Tanning Salon Convenience Store Discount Store \n", + "\n", + " 5th Most Common Venue 6th Most Common Venue 7th Most Common Venue \\\n", + "1 Yoga Studio Dim Sum Restaurant Diner \n", + "2 Breakfast Spot Café Theater \n", + "3 Miscellaneous Shop Event Space Furniture / Home Store \n", + "4 Beer Bar Smoothie Shop Sandwich Place \n", + "6 Diner Discount Store Distribution Center \n", + ".. ... ... ... \n", + "97 Gym Japanese Restaurant American Restaurant \n", + "98 Diner Discount Store Distribution Center \n", + "99 Restaurant Yoga Studio Bubble Tea Shop \n", + "100 Brewery Spa Farmers Market \n", + "102 Burrito Place Burger Joint Sandwich Place \n", + "\n", + " 8th Most Common Venue 9th Most Common Venue 10th Most Common Venue \n", + "1 Discount Store Distribution Center Dog Run \n", + "2 Yoga Studio Mexican Restaurant Shoe Store \n", + "3 Women's Store Vietnamese Restaurant Convenience Store \n", + "4 Burrito Place Café Park \n", + "6 Dog Run Doner Restaurant Donut Shop \n", + ".. ... ... ... \n", + "97 Steakhouse Asian Restaurant Seafood Restaurant \n", + "98 Dog Run Yoga Studio Department Store \n", + "99 Dance Studio Mediterranean Restaurant Men's Store \n", + "100 Fast Food Restaurant Burrito Place Restaurant \n", + "102 Kids Store Supplement Shop Bakery \n", + "\n", + "[87 rows x 12 columns]" + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "toronto_merged_nonan.loc[toronto_merged_nonan['Cluster Labels'] == 1, toronto_merged_nonan.columns[[1] + list(range(5, toronto_merged_nonan.shape[1]))]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cluster 3" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "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>Borough</th>\n", + " <th>Cluster Labels</th>\n", + " <th>1st Most Common Venue</th>\n", + " <th>2nd Most Common Venue</th>\n", + " <th>3rd Most Common Venue</th>\n", + " <th>4th Most Common Venue</th>\n", + " <th>5th Most Common Venue</th>\n", + " <th>6th Most Common Venue</th>\n", + " <th>7th Most Common Venue</th>\n", + " <th>8th Most Common Venue</th>\n", + " <th>9th Most Common Venue</th>\n", + " <th>10th Most Common Venue</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>32</th>\n", + " <td>Scarborough</td>\n", + " <td>2.0</td>\n", + " <td>Pizza Place</td>\n", + " <td>Playground</td>\n", + " <td>Doner Restaurant</td>\n", + " <td>Dessert Shop</td>\n", + " <td>Dim Sum Restaurant</td>\n", + " <td>Diner</td>\n", + " <td>Discount Store</td>\n", + " <td>Distribution Center</td>\n", + " <td>Dog Run</td>\n", + " <td>Donut Shop</td>\n", + " </tr>\n", + " <tr>\n", + " <th>50</th>\n", + " <td>North York</td>\n", + " <td>2.0</td>\n", + " <td>Pizza Place</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>Drugstore</td>\n", + " <td>Donut Shop</td>\n", + " <td>Doner Restaurant</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Borough Cluster Labels 1st Most Common Venue 2nd Most Common Venue \\\n", + "32 Scarborough 2.0 Pizza Place Playground \n", + "50 North York 2.0 Pizza Place Department Store \n", + "\n", + " 3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue \\\n", + "32 Doner Restaurant Dessert Shop Dim Sum Restaurant \n", + "50 Event Space Ethiopian Restaurant Electronics Store \n", + "\n", + " 6th Most Common Venue 7th Most Common Venue 8th Most Common Venue \\\n", + "32 Diner Discount Store Distribution Center \n", + "50 Eastern European Restaurant Dumpling Restaurant Drugstore \n", + "\n", + " 9th Most Common Venue 10th Most Common Venue \n", + "32 Dog Run Donut Shop \n", + "50 Donut Shop Doner Restaurant " + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" 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