Neighbourhoods_in_Toronto_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Segmenting and Clustering Neighborhoods in Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Import packages_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_URL, Request and Response_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\"\n",
    "r = requests.Session()\n",
    "response= r.get(url, timeout=10)\n",
    "response"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Wrangling HTML With BeautifulSoup_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "soup = BeautifulSoup(response.content, 'html.parser')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Title of HTML Table_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'List of postal codes of Canada: M - Wikipedia'"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title=soup.title.string\n",
    "title"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Select table_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the number of columns is: 3\n",
      "the number of rows is: 181\n"
     ]
    }
   ],
   "source": [
    "Canada_table=soup.find('table',{'class':'wikitable sortable'})\n",
    "for row in Canada_table.findAll(\"tr\"):\n",
    "    cells = row.findAll('td')\n",
    "print('the number of columns is:', len(cells)) #number of cols\n",
    "\n",
    "rows = Canada_table.findAll(\"tr\")\n",
    "print('the number of rows is:', len(rows)) #number of rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Get header_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Postal Code', 'Borough', 'Neighbourhood']\n"
     ]
    }
   ],
   "source": [
    "header = [th.text.rstrip() for th in rows[0].find_all('th')]\n",
    "print(header)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Get tabular data_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_data_raw=1\n",
    "\n",
    "lst_data_raw=[]\n",
    "for row in rows[first_data_raw:]:\n",
    "    tds = row.select('td')\n",
    "    code = tds[0]\n",
    "    data = [code.text.rstrip()]\n",
    "    data.extend([d.text.rstrip() for d in tds[1:]])\n",
    "    lst_data_raw.append(data)\n",
    "#print(lst_data_raw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Create dictionary_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "datax = list(zip(*lst_data_raw))\n",
    "dat = dict(zip(header, datax))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Create data frame_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(dat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Clean data frame: drop rows where 'Borough' is not assigned_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1=df.drop(df.loc[df['Borough']=='Not assigned'].index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Clean data frame: assign value in 'Borough' column if 'Neighbourhood' is not assigned_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['Neighbourhood'] = df1.apply(lambda x: x['Borough'] if x['Neighbourhood']=='Not assigned' else x['Neighbourhood'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Check cleaned data frame shape_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Latitude and Longitude data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>2</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</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",
       "2         M3A        North York                                    Parkwoods\n",
       "3         M4A        North York                             Victoria Village\n",
       "4         M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "5         M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "6         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Import latitude and longitude data_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [],
   "source": [
    "import io\n",
    "\n",
    "url_gps= 'https://cocl.us/Geospatial_data'\n",
    "j=requests.get(url_gps).content\n",
    "df_gps= pd.read_csv(io.StringIO(j.decode('utf-8')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_gps.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Merge dataframes df1 and df_gps using 'Postal Code' column (inner join)_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df=pd.merge(df1,df_gps,on='Postal Code',how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "    }\n",
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       "<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",
       "  </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   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.753259 -79.329656  \n",
       "1  43.725882 -79.315572  \n",
       "2  43.654260 -79.360636  \n",
       "3  43.718518 -79.464763  \n",
       "4  43.662301 -79.389494  "
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 5)"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Toronto map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_import libraries_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import json \n",
    "from geopy.geocoders import Nominatim \n",
    "from pandas.io.json import json_normalize \n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "from sklearn.cluster import KMeans\n",
    "import folium "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Get the latitude and longitude values of Toronto._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, ON'\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": [
    "_Create a map of Toronto with neighborhoods superimposed on top **(only neighborhoods containing 'Toronto')**_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_toronto=new_df[new_df['Borough'].str.contains('Toronto', regex=False, case=False, na=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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            var circle_marker_548eee9c80d4434e9a1b4d6b086cf8df = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "red", "fillOpacity": 0.5, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 4, "stroke": true, "weight": 3}
            ).addTo(map_e8a2a72949fb43d197f37dea15acb0a8);
        
    
        var popup_42856a0f5a1344f680bae0230855d260 = L.popup({"maxWidth": "100%"});

        
            var html_f1dde83113aa4248929746c347cfd381 = $(`<div id="html_f1dde83113aa4248929746c347cfd381" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto, East Toronto</div>`)[0];
            popup_42856a0f5a1344f680bae0230855d260.setContent(html_f1dde83113aa4248929746c347cfd381);
        

        circle_marker_548eee9c80d4434e9a1b4d6b086cf8df.bindPopup(popup_42856a0f5a1344f680bae0230855d260)
        ;

        
    
</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 0x7f8d9f002b10>"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(df_toronto['Latitude'], df_toronto['Longitude'], df_toronto['Borough'], df_toronto['Neighbourhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=4,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='red',\n",
    "        fill_opacity=0.5,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Define Foursquare Credentials and Version_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: --------------\n",
      "CLIENT_SECRET:----------------\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = '--------------' \n",
    "CLIENT_SECRET = '----------------' \n",
    "VERSION = '20180605' \n",
    "LIMIT = 100\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_reset index_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_toronto.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "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>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>1</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>2</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>3</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code           Borough                                Neighbourhood  \\\n",
       "0         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "1         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "2         M5B  Downtown Toronto                     Garden District, Ryerson   \n",
       "3         M5C  Downtown Toronto                               St. James Town   \n",
       "4         M4E      East Toronto                                  The Beaches   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.654260 -79.360636  \n",
       "1  43.662301 -79.389494  \n",
       "2  43.657162 -79.378937  \n",
       "3  43.651494 -79.375418  \n",
       "4  43.676357 -79.293031  "
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_toronto.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Function to get nearby venues_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    venues_list=[]\n",
    "    \n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    " \n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Toronto venues dataframe_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_venues = getNearbyVenues(names=df_toronto['Neighbourhood'],\n",
    "                                   latitudes=df_toronto['Latitude'],\n",
    "                                   longitudes=df_toronto['Longitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1618, 7)\n"
     ]
    }
   ],
   "source": [
    "print(toronto_venues.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Number of venues in Toronto df, grouped by neighborhood_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {
    "collapsed": true
   },
   "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>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Berczy Park</th>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brockton, Parkdale Village, Exhibition Place</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Business reply mail Processing Centre, South Central Letter Processing Plant Toronto</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commerce Court, Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</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>Dufferin, Dovercourt Village</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest Hill North &amp; West, Forest Hill Road Park</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>Garden District, Ryerson</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East, Union Station, Toronto Islands</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Park, The Junction South</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India Bazaar, The Beaches West</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kensington Market, Chinatown, Grange Park</th>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lawrence Park</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>Little Portugal, Trinity</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore Park, Summerhill East</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Toronto West,  Lawrence Park</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale, Roncesvalles</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queen's Park, Ontario Provincial Government</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Regent Park, Harbourfront</th>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Richmond, Adelaide, King</th>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roselawn</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>Runnymede, Swansea</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town</th>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town, Cabbagetown</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stn A PO Boxes</th>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Annex, North Midtown, Yorkville</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>The Beaches</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Danforth West, Riverdale</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Dominion Centre, Design Exchange</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University of Toronto, Harbord</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                                            58   \n",
       "Brockton, Parkdale Village, Exhibition Place                           23   \n",
       "Business reply mail Processing Centre, South Ce...                     16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                     16   \n",
       "Central Bay Street                                                     64   \n",
       "Christie                                                               16   \n",
       "Church and Wellesley                                                   80   \n",
       "Commerce Court, Victoria Hotel                                        100   \n",
       "Davisville                                                             33   \n",
       "Davisville North                                                        9   \n",
       "Dufferin, Dovercourt Village                                           17   \n",
       "First Canadian Place, Underground city                                100   \n",
       "Forest Hill North & West, Forest Hill Road Park                         4   \n",
       "Garden District, Ryerson                                              100   \n",
       "Harbourfront East, Union Station, Toronto Islands                     100   \n",
       "High Park, The Junction South                                          24   \n",
       "India Bazaar, The Beaches West                                         20   \n",
       "Kensington Market, Chinatown, Grange Park                              64   \n",
       "Lawrence Park                                                           4   \n",
       "Little Portugal, Trinity                                               43   \n",
       "Moore Park, Summerhill East                                             2   \n",
       "North Toronto West,  Lawrence Park                                     19   \n",
       "Parkdale, Roncesvalles                                                 14   \n",
       "Queen's Park, Ontario Provincial Government                            32   \n",
       "Regent Park, Harbourfront                                              48   \n",
       "Richmond, Adelaide, King                                               96   \n",
       "Rosedale                                                                4   \n",
       "Roselawn                                                                4   \n",
       "Runnymede, Swansea                                                     35   \n",
       "St. James Town                                                         79   \n",
       "St. James Town, Cabbagetown                                            43   \n",
       "Stn A PO Boxes                                                         98   \n",
       "Studio District                                                        36   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                     15   \n",
       "The Annex, North Midtown, Yorkville                                    21   \n",
       "The Beaches                                                             5   \n",
       "The Danforth West, Riverdale                                           43   \n",
       "Toronto Dominion Centre, Design Exchange                              100   \n",
       "University of Toronto, Harbord                                         33   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Berczy Park                                                             58   \n",
       "Brockton, Parkdale Village, Exhibition Place                            23   \n",
       "Business reply mail Processing Centre, South Ce...                      16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                      16   \n",
       "Central Bay Street                                                      64   \n",
       "Christie                                                                16   \n",
       "Church and Wellesley                                                    80   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Davisville                                                              33   \n",
       "Davisville North                                                         9   \n",
       "Dufferin, Dovercourt Village                                            17   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Forest Hill North & West, Forest Hill Road Park                          4   \n",
       "Garden District, Ryerson                                               100   \n",
       "Harbourfront East, Union Station, Toronto Islands                      100   \n",
       "High Park, The Junction South                                           24   \n",
       "India Bazaar, The Beaches West                                          20   \n",
       "Kensington Market, Chinatown, Grange Park                               64   \n",
       "Lawrence Park                                                            4   \n",
       "Little Portugal, Trinity                                                43   \n",
       "Moore Park, Summerhill East                                              2   \n",
       "North Toronto West,  Lawrence Park                                      19   \n",
       "Parkdale, Roncesvalles                                                  14   \n",
       "Queen's Park, Ontario Provincial Government                             32   \n",
       "Regent Park, Harbourfront                                               48   \n",
       "Richmond, Adelaide, King                                                96   \n",
       "Rosedale                                                                 4   \n",
       "Roselawn                                                                 4   \n",
       "Runnymede, Swansea                                                      35   \n",
       "St. James Town                                                          79   \n",
       "St. James Town, Cabbagetown                                             43   \n",
       "Stn A PO Boxes                                                          98   \n",
       "Studio District                                                         36   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                      15   \n",
       "The Annex, North Midtown, Yorkville                                     21   \n",
       "The Beaches                                                              5   \n",
       "The Danforth West, Riverdale                                            43   \n",
       "Toronto Dominion Centre, Design Exchange                               100   \n",
       "University of Toronto, Harbord                                          33   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                            58              58   \n",
       "Brockton, Parkdale Village, Exhibition Place           23              23   \n",
       "Business reply mail Processing Centre, South Ce...     16              16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...     16              16   \n",
       "Central Bay Street                                     64              64   \n",
       "Christie                                               16              16   \n",
       "Church and Wellesley                                   80              80   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Davisville                                             33              33   \n",
       "Davisville North                                        9               9   \n",
       "Dufferin, Dovercourt Village                           17              17   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Forest Hill North & West, Forest Hill Road Park         4               4   \n",
       "Garden District, Ryerson                              100             100   \n",
       "Harbourfront East, Union Station, Toronto Islands     100             100   \n",
       "High Park, The Junction South                          24              24   \n",
       "India Bazaar, The Beaches West                         20              20   \n",
       "Kensington Market, Chinatown, Grange Park              64              64   \n",
       "Lawrence Park                                           4               4   \n",
       "Little Portugal, Trinity                               43              43   \n",
       "Moore Park, Summerhill East                             2               2   \n",
       "North Toronto West,  Lawrence Park                     19              19   \n",
       "Parkdale, Roncesvalles                                 14              14   \n",
       "Queen's Park, Ontario Provincial Government            32              32   \n",
       "Regent Park, Harbourfront                              48              48   \n",
       "Richmond, Adelaide, King                               96              96   \n",
       "Rosedale                                                4               4   \n",
       "Roselawn                                                4               4   \n",
       "Runnymede, Swansea                                     35              35   \n",
       "St. James Town                                         79              79   \n",
       "St. James Town, Cabbagetown                            43              43   \n",
       "Stn A PO Boxes                                         98              98   \n",
       "Studio District                                        36              36   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...     15              15   \n",
       "The Annex, North Midtown, Yorkville                    21              21   \n",
       "The Beaches                                             5               5   \n",
       "The Danforth West, Riverdale                           43              43   \n",
       "Toronto Dominion Centre, Design Exchange              100             100   \n",
       "University of Toronto, Harbord                         33              33   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Berczy Park                                                      58   \n",
       "Brockton, Parkdale Village, Exhibition Place                     23   \n",
       "Business reply mail Processing Centre, South Ce...               16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...               16   \n",
       "Central Bay Street                                               64   \n",
       "Christie                                                         16   \n",
       "Church and Wellesley                                             80   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Davisville                                                       33   \n",
       "Davisville North                                                  9   \n",
       "Dufferin, Dovercourt Village                                     17   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Forest Hill North & West, Forest Hill Road Park                   4   \n",
       "Garden District, Ryerson                                        100   \n",
       "Harbourfront East, Union Station, Toronto Islands               100   \n",
       "High Park, The Junction South                                    24   \n",
       "India Bazaar, The Beaches West                                   20   \n",
       "Kensington Market, Chinatown, Grange Park                        64   \n",
       "Lawrence Park                                                     4   \n",
       "Little Portugal, Trinity                                         43   \n",
       "Moore Park, Summerhill East                                       2   \n",
       "North Toronto West,  Lawrence Park                               19   \n",
       "Parkdale, Roncesvalles                                           14   \n",
       "Queen's Park, Ontario Provincial Government                      32   \n",
       "Regent Park, Harbourfront                                        48   \n",
       "Richmond, Adelaide, King                                         96   \n",
       "Rosedale                                                          4   \n",
       "Roselawn                                                          4   \n",
       "Runnymede, Swansea                                               35   \n",
       "St. James Town                                                   79   \n",
       "St. James Town, Cabbagetown                                      43   \n",
       "Stn A PO Boxes                                                   98   \n",
       "Studio District                                                  36   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...               15   \n",
       "The Annex, North Midtown, Yorkville                              21   \n",
       "The Beaches                                                       5   \n",
       "The Danforth West, Riverdale                                     43   \n",
       "Toronto Dominion Centre, Design Exchange                        100   \n",
       "University of Toronto, Harbord                                   33   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Berczy Park                                                     58  \n",
       "Brockton, Parkdale Village, Exhibition Place                    23  \n",
       "Business reply mail Processing Centre, South Ce...              16  \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...              16  \n",
       "Central Bay Street                                              64  \n",
       "Christie                                                        16  \n",
       "Church and Wellesley                                            80  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Davisville                                                      33  \n",
       "Davisville North                                                 9  \n",
       "Dufferin, Dovercourt Village                                    17  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Forest Hill North & West, Forest Hill Road Park                  4  \n",
       "Garden District, Ryerson                                       100  \n",
       "Harbourfront East, Union Station, Toronto Islands              100  \n",
       "High Park, The Junction South                                   24  \n",
       "India Bazaar, The Beaches West                                  20  \n",
       "Kensington Market, Chinatown, Grange Park                       64  \n",
       "Lawrence Park                                                    4  \n",
       "Little Portugal, Trinity                                        43  \n",
       "Moore Park, Summerhill East                                      2  \n",
       "North Toronto West,  Lawrence Park                              19  \n",
       "Parkdale, Roncesvalles                                          14  \n",
       "Queen's Park, Ontario Provincial Government                     32  \n",
       "Regent Park, Harbourfront                                       48  \n",
       "Richmond, Adelaide, King                                        96  \n",
       "Rosedale                                                         4  \n",
       "Roselawn                                                         4  \n",
       "Runnymede, Swansea                                              35  \n",
       "St. James Town                                                  79  \n",
       "St. James Town, Cabbagetown                                     43  \n",
       "Stn A PO Boxes                                                  98  \n",
       "Studio District                                                 36  \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...              15  \n",
       "The Annex, North Midtown, Yorkville                             21  \n",
       "The Beaches                                                      5  \n",
       "The Danforth West, Riverdale                                    43  \n",
       "Toronto Dominion Centre, Design Exchange                       100  \n",
       "University of Toronto, Harbord                                  33  "
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 235 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_New data frame with the different venue categories as columns, and rows=neighborhoods_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1618, 235)"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_New df, where rows are grouped by neighborhood, and each column is the mean of the frequency of occurrence of each category_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 235)"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "\n",
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Top 5 most common venues in each neighborhood_ (just to check)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Berczy Park----\n",
      "          venue  freq\n",
      "0   Coffee Shop  0.09\n",
      "1  Cocktail Bar  0.05\n",
      "2      Beer Bar  0.03\n",
      "3      Pharmacy  0.03\n",
      "4        Bakery  0.03\n",
      "\n",
      "\n",
      "----Brockton, Parkdale Village, Exhibition Place----\n",
      "                    venue  freq\n",
      "0                    Café  0.13\n",
      "1             Coffee Shop  0.09\n",
      "2          Breakfast Spot  0.09\n",
      "3                     Gym  0.04\n",
      "4  Furniture / Home Store  0.04\n",
      "\n",
      "\n",
      "----Business reply mail Processing Centre, South Central Letter Processing Plant Toronto----\n",
      "                  venue  freq\n",
      "0    Light Rail Station  0.12\n",
      "1           Yoga Studio  0.06\n",
      "2         Auto Workshop  0.06\n",
      "3  Gym / Fitness Center  0.06\n",
      "4         Garden Center  0.06\n",
      "\n",
      "\n",
      "----CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport----\n",
      "              venue  freq\n",
      "0   Airport Service  0.19\n",
      "1    Airport Lounge  0.12\n",
      "2  Airport Terminal  0.12\n",
      "3  Sculpture Garden  0.06\n",
      "4   Harbor / Marina  0.06\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.17\n",
      "1                Café  0.06\n",
      "2      Sandwich Place  0.06\n",
      "3  Italian Restaurant  0.06\n",
      "4     Bubble Tea Shop  0.03\n",
      "\n",
      "\n",
      "----Christie----\n",
      "                venue  freq\n",
      "0       Grocery Store  0.25\n",
      "1                Café  0.19\n",
      "2                Park  0.12\n",
      "3  Athletics & Sports  0.06\n",
      "4  Italian Restaurant  0.06\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1     Sushi Restaurant  0.06\n",
      "2  Japanese Restaurant  0.06\n",
      "3              Gay Bar  0.04\n",
      "4           Restaurant  0.04\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.12\n",
      "1           Restaurant  0.07\n",
      "2                 Café  0.06\n",
      "3                Hotel  0.05\n",
      "4  American Restaurant  0.04\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "                venue  freq\n",
      "0        Dessert Shop  0.09\n",
      "1      Sandwich Place  0.09\n",
      "2                 Gym  0.06\n",
      "3     Thai Restaurant  0.06\n",
      "4  Italian Restaurant  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "                  venue  freq\n",
      "0                 Hotel  0.22\n",
      "1  Gym / Fitness Center  0.11\n",
      "2           Pizza Place  0.11\n",
      "3      Department Store  0.11\n",
      "4        Sandwich Place  0.11\n",
      "\n",
      "\n",
      "----Dufferin, Dovercourt Village----\n",
      "                       venue  freq\n",
      "0                   Pharmacy  0.12\n",
      "1                     Bakery  0.12\n",
      "2                Art Gallery  0.06\n",
      "3  Middle Eastern Restaurant  0.06\n",
      "4                       Café  0.06\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.09\n",
      "1                 Café  0.07\n",
      "2                Hotel  0.05\n",
      "3                  Gym  0.04\n",
      "4  Japanese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Forest Hill North & West, Forest Hill Road Park----\n",
      "                venue  freq\n",
      "0               Trail  0.25\n",
      "1       Jewelry Store  0.25\n",
      "2  Mexican Restaurant  0.25\n",
      "3    Sushi Restaurant  0.25\n",
      "4         Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Garden District, Ryerson----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.10\n",
      "1             Clothing Store  0.09\n",
      "2                       Café  0.04\n",
      "3  Middle Eastern Restaurant  0.03\n",
      "4            Bubble Tea Shop  0.03\n",
      "\n",
      "\n",
      "----Harbourfront East, Union Station, Toronto Islands----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.13\n",
      "1             Aquarium  0.05\n",
      "2                 Café  0.04\n",
      "3                Hotel  0.04\n",
      "4  Fried Chicken Joint  0.03\n",
      "\n",
      "\n",
      "----High Park, The Junction South----\n",
      "                venue  freq\n",
      "0                Café  0.08\n",
      "1  Mexican Restaurant  0.08\n",
      "2     Thai Restaurant  0.08\n",
      "3           Bookstore  0.04\n",
      "4           Gastropub  0.04\n",
      "\n",
      "\n",
      "----India Bazaar, The Beaches West----\n",
      "                  venue  freq\n",
      "0  Fast Food Restaurant  0.10\n",
      "1                  Park  0.10\n",
      "2        Sandwich Place  0.10\n",
      "3                   Gym  0.05\n",
      "4      Sushi Restaurant  0.05\n",
      "\n",
      "\n",
      "----Kensington Market, Chinatown, Grange Park----\n",
      "                           venue  freq\n",
      "0                           Café  0.08\n",
      "1  Vegetarian / Vegan Restaurant  0.06\n",
      "2             Mexican Restaurant  0.05\n",
      "3          Vietnamese Restaurant  0.05\n",
      "4                   Dessert Shop  0.05\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "                        venue  freq\n",
      "0                        Park  0.25\n",
      "1  Construction & Landscaping  0.25\n",
      "2                    Bus Line  0.25\n",
      "3                 Swim School  0.25\n",
      "4                 Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Little Portugal, Trinity----\n",
      "                           venue  freq\n",
      "0                            Bar  0.09\n",
      "1                           Café  0.05\n",
      "2                    Men's Store  0.05\n",
      "3          Vietnamese Restaurant  0.05\n",
      "4  Vegetarian / Vegan Restaurant  0.05\n",
      "\n",
      "\n",
      "----Moore Park, Summerhill East----\n",
      "                 venue  freq\n",
      "0                  Gym   0.5\n",
      "1                 Park   0.5\n",
      "2  Moroccan Restaurant   0.0\n",
      "3               Market   0.0\n",
      "4  Martial Arts School   0.0\n",
      "\n",
      "\n",
      "----North Toronto West,  Lawrence Park----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.16\n",
      "1          Coffee Shop  0.11\n",
      "2          Yoga Studio  0.05\n",
      "3  Sporting Goods Shop  0.05\n",
      "4            Pet Store  0.05\n",
      "\n",
      "\n",
      "----Parkdale, Roncesvalles----\n",
      "                         venue  freq\n",
      "0               Breakfast Spot  0.14\n",
      "1                    Gift Shop  0.14\n",
      "2                  Coffee Shop  0.07\n",
      "3                Movie Theater  0.07\n",
      "4  Eastern European Restaurant  0.07\n",
      "\n",
      "\n",
      "----Queen's Park, Ontario Provincial Government----\n",
      "              venue  freq\n",
      "0       Coffee Shop  0.22\n",
      "1  Sushi Restaurant  0.06\n",
      "2       Yoga Studio  0.03\n",
      "3        Hobby Shop  0.03\n",
      "4     Burrito Place  0.03\n",
      "\n",
      "\n",
      "----Regent Park, Harbourfront----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.17\n",
      "1         Park  0.06\n",
      "2         Café  0.06\n",
      "3       Bakery  0.06\n",
      "4          Pub  0.06\n",
      "\n",
      "\n",
      "----Richmond, Adelaide, King----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.09\n",
      "1         Café  0.05\n",
      "2        Hotel  0.04\n",
      "3   Restaurant  0.04\n",
      "4          Gym  0.03\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "                 venue  freq\n",
      "0                 Park  0.50\n",
      "1           Playground  0.25\n",
      "2                Trail  0.25\n",
      "3  Moroccan Restaurant  0.00\n",
      "4               Market  0.00\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "            venue  freq\n",
      "0     Music Venue  0.25\n",
      "1    Home Service  0.25\n",
      "2          Garden  0.25\n",
      "3  Ice Cream Shop  0.25\n",
      "4   Movie Theater  0.00\n",
      "\n",
      "\n",
      "----Runnymede, Swansea----\n",
      "              venue  freq\n",
      "0              Café  0.09\n",
      "1  Sushi Restaurant  0.06\n",
      "2       Coffee Shop  0.06\n",
      "3               Pub  0.06\n",
      "4       Pizza Place  0.06\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1                 Café  0.05\n",
      "2         Cocktail Bar  0.04\n",
      "3       Cosmetics Shop  0.04\n",
      "4  American Restaurant  0.04\n",
      "\n",
      "\n",
      "----St. James Town, Cabbagetown----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.07\n",
      "1  Pizza Place  0.07\n",
      "2          Pub  0.05\n",
      "3       Bakery  0.05\n",
      "4         Café  0.05\n",
      "\n",
      "\n",
      "----Stn A PO Boxes----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1  Seafood Restaurant  0.04\n",
      "2  Italian Restaurant  0.03\n",
      "3                Café  0.03\n",
      "4            Beer Bar  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1               Bakery  0.06\n",
      "2            Gastropub  0.06\n",
      "3              Brewery  0.06\n",
      "4  American Restaurant  0.06\n",
      "\n",
      "\n",
      "----Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.13\n",
      "1  Light Rail Station  0.07\n",
      "2         Supermarket  0.07\n",
      "3    Sushi Restaurant  0.07\n",
      "4          Bagel Shop  0.07\n",
      "\n",
      "\n",
      "----The Annex, North Midtown, Yorkville----\n",
      "            venue  freq\n",
      "0  Sandwich Place  0.14\n",
      "1            Café  0.14\n",
      "2     Coffee Shop  0.10\n",
      "3        Pharmacy  0.05\n",
      "4    Burger Joint  0.05\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                venue  freq\n",
      "0    Asian Restaurant   0.2\n",
      "1   Health Food Store   0.2\n",
      "2               Trail   0.2\n",
      "3                 Pub   0.2\n",
      "4  Miscellaneous Shop   0.0\n",
      "\n",
      "\n",
      "----The Danforth West, Riverdale----\n",
      "                    venue  freq\n",
      "0        Greek Restaurant  0.19\n",
      "1             Coffee Shop  0.07\n",
      "2      Italian Restaurant  0.07\n",
      "3  Furniture / Home Store  0.05\n",
      "4               Bookstore  0.05\n",
      "\n",
      "\n",
      "----Toronto Dominion Centre, Design Exchange----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.11\n",
      "1        Hotel  0.07\n",
      "2         Café  0.06\n",
      "3   Restaurant  0.04\n",
      "4  Salad Place  0.04\n",
      "\n",
      "\n",
      "----University of Toronto, Harbord----\n",
      "                 venue  freq\n",
      "0                 Café  0.15\n",
      "1   Italian Restaurant  0.06\n",
      "2  Japanese Restaurant  0.06\n",
      "3                  Bar  0.06\n",
      "4            Bookstore  0.06\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Function_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "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": "markdown",
   "metadata": {},
   "source": [
    "_new dataframe with the top 10 venues for each neighborhood (sorted in descending order)_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                                        Berczy Park           Coffee Shop   \n",
       "1       Brockton, Parkdale Village, Exhibition Place                  Café   \n",
       "2  Business reply mail Processing Centre, South C...    Light Rail Station   \n",
       "3  CN Tower, King and Spadina, Railway Lands, Har...       Airport Service   \n",
       "4                                 Central Bay Street           Coffee Shop   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0          Cocktail Bar              Beer Bar        Farmers Market   \n",
       "1           Coffee Shop        Breakfast Spot         Grocery Store   \n",
       "2           Yoga Studio         Auto Workshop  Gym / Fitness Center   \n",
       "3      Airport Terminal        Airport Lounge       Harbor / Marina   \n",
       "4    Italian Restaurant        Sandwich Place                  Café   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0              Pharmacy           Cheese Shop                Bakery   \n",
       "1                Bakery                   Bar    Italian Restaurant   \n",
       "2         Garden Center                Garden  Fast Food Restaurant   \n",
       "3      Sculpture Garden                 Plane   Rental Car Location   \n",
       "4          Burger Joint           Salad Place       Bubble Tea Shop   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0            Restaurant    Seafood Restaurant                Butcher  \n",
       "1            Restaurant          Climbing Gym          Burrito Place  \n",
       "2        Farmers Market            Comic Shop            Pizza Place  \n",
       "3         Boat or Ferry                   Bar           Airport Gate  \n",
       "4       Thai Restaurant      Ramen Restaurant  Portuguese Restaurant  "
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_k selection for k-means clustering, using Elbow method_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "Sum_of_squared_distances = []\n",
    "K = range(1,15)\n",
    "for k in K:\n",
    "    km = KMeans(n_clusters=k)\n",
    "    km = km.fit(toronto_grouped_clustering)\n",
    "    Sum_of_squared_distances.append(km.inertia_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(K, Sum_of_squared_distances, 'bx-')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Sum_of_squared_distances')\n",
    "plt.title('Elbow Method For Optimal k')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_**I assume that the elbow is at k=2**_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------------------\n",
    "_k-means clustering of neighborhoods_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 2\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 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": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {
    "collapsed": true
   },
   "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",
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       "    }\n",
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       "<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",
       "      <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",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
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       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</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",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Discount Store</td>\n",
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       "    <tr>\n",
       "      <th>2</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",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
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      ],
      "text/plain": [
       "  Postal Code           Borough                                Neighbourhood  \\\n",
       "0         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "1         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "2         M5B  Downtown Toronto                     Garden District, Ryerson   \n",
       "3         M5C  Downtown Toronto                               St. James Town   \n",
       "4         M4E      East Toronto                                  The Beaches   \n",
       "\n",
       "    Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0  43.654260 -79.360636               0           Coffee Shop   \n",
       "1  43.662301 -79.389494               0           Coffee Shop   \n",
       "2  43.657162 -79.378937               0           Coffee Shop   \n",
       "3  43.651494 -79.375418               0           Coffee Shop   \n",
       "4  43.676357 -79.293031               0                   Pub   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café                  Park                Bakery   \n",
       "1      Sushi Restaurant           Yoga Studio                 Diner   \n",
       "2        Clothing Store                  Café                 Hotel   \n",
       "3                  Café   American Restaurant        Cosmetics Shop   \n",
       "4                 Trail     Health Food Store      Asian Restaurant   \n",
       "\n",
       "       5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                        Pub               Theater        Breakfast Spot   \n",
       "1              Smoothie Shop    Italian Restaurant              Beer Bar   \n",
       "2  Middle Eastern Restaurant       Bubble Tea Shop        Cosmetics Shop   \n",
       "3               Cocktail Bar      Department Store        Farmers Market   \n",
       "4                   Wine Bar   Distribution Center      Department Store   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0     Electronics Store                   Spa             Beer Store  \n",
       "1        Sandwich Place         Burrito Place         Discount Store  \n",
       "2   Japanese Restaurant  Fast Food Restaurant                  Diner  \n",
       "3             Gastropub            Restaurant               Creperie  \n",
       "4          Dessert Shop                 Diner         Discount Store  "
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = df_toronto\n",
    "\n",
    "# merge toronto_grouped with df_toronto to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighbourhood')\n",
    "\n",
    "toronto_merged.head() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Cluster visualization_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
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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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_123404bad1844352b1eeefd5e2a54912 = L.popup({"maxWidth": "100%"});

        
            var html_c29691d194b04f9dbd55a18a3d761d07 = $(`<div id="html_c29691d194b04f9dbd55a18a3d761d07" style="width: 100.0%; height: 100.0%;">Dufferin, Dovercourt Village Cluster 0</div>`)[0];
            popup_123404bad1844352b1eeefd5e2a54912.setContent(html_c29691d194b04f9dbd55a18a3d761d07);
        

        circle_marker_5479deb80ee746d5a5b7a49998569866.bindPopup(popup_123404bad1844352b1eeefd5e2a54912)
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            var circle_marker_b8e3aebb50d845f3b3397c38694664d2 = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_37a899f8fc2a4e979dc1868bf37081f5 = L.popup({"maxWidth": "100%"});

        
            var html_be01bbb88fa34c158c7785671a063089 = $(`<div id="html_be01bbb88fa34c158c7785671a063089" style="width: 100.0%; height: 100.0%;">Harbourfront East, Union Station, Toronto Islands Cluster 0</div>`)[0];
            popup_37a899f8fc2a4e979dc1868bf37081f5.setContent(html_be01bbb88fa34c158c7785671a063089);
        

        circle_marker_b8e3aebb50d845f3b3397c38694664d2.bindPopup(popup_37a899f8fc2a4e979dc1868bf37081f5)
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            var circle_marker_d2d7a61a21df4b9d9ae4e8feb3041020 = L.circleMarker(
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            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_c6f1d665a9bc4030ac73a8bb8bcfaedc = L.popup({"maxWidth": "100%"});

        
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            popup_c6f1d665a9bc4030ac73a8bb8bcfaedc.setContent(html_a6b181515cc44832811def889e63125a);
        

        circle_marker_d2d7a61a21df4b9d9ae4e8feb3041020.bindPopup(popup_c6f1d665a9bc4030ac73a8bb8bcfaedc)
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            var circle_marker_40170ba81b9b4c989923f57ea1fd0a1a = L.circleMarker(
                [43.6795571, -79.352188],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_849d764cf2cd408faef0fca38d45066b = L.popup({"maxWidth": "100%"});

        
            var html_bc16f7f18ee54e58aaf7b4bfba86ae15 = $(`<div id="html_bc16f7f18ee54e58aaf7b4bfba86ae15" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale Cluster 0</div>`)[0];
            popup_849d764cf2cd408faef0fca38d45066b.setContent(html_bc16f7f18ee54e58aaf7b4bfba86ae15);
        

        circle_marker_40170ba81b9b4c989923f57ea1fd0a1a.bindPopup(popup_849d764cf2cd408faef0fca38d45066b)
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            var circle_marker_d01bb19fe37147658bfdfb0ff8ac4a3a = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_0e4ebce009b24e87950b570e58aa78e5 = L.popup({"maxWidth": "100%"});

        
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            popup_0e4ebce009b24e87950b570e58aa78e5.setContent(html_fa6a47fe583c425bb3ec0a743027e626);
        

        circle_marker_d01bb19fe37147658bfdfb0ff8ac4a3a.bindPopup(popup_0e4ebce009b24e87950b570e58aa78e5)
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            var circle_marker_7493404775ba441889b42d0c02589b36 = 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_d87d24bc5cf34ed2b3c60ef973438abd = L.popup({"maxWidth": "100%"});

        
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            popup_d87d24bc5cf34ed2b3c60ef973438abd.setContent(html_fa555ba672a448c78611f0caf6eb1549);
        

        circle_marker_7493404775ba441889b42d0c02589b36.bindPopup(popup_d87d24bc5cf34ed2b3c60ef973438abd)
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            var circle_marker_c546becb7dc343888574da866069fd77 = 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_4b6fc5a118e740ed9ce99028b579b39c = L.popup({"maxWidth": "100%"});

        
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            popup_4b6fc5a118e740ed9ce99028b579b39c.setContent(html_049e393d62a64160b991a826d4bfb149);
        

        circle_marker_c546becb7dc343888574da866069fd77.bindPopup(popup_4b6fc5a118e740ed9ce99028b579b39c)
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            var circle_marker_bb41a9a52f6d4ed39fc2a5efb712d577 = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_1f5c903f32e847fcbc963b539aab25d9 = L.popup({"maxWidth": "100%"});

        
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            popup_1f5c903f32e847fcbc963b539aab25d9.setContent(html_6f4278c6de564ea391abf58eddeb7072);
        

        circle_marker_bb41a9a52f6d4ed39fc2a5efb712d577.bindPopup(popup_1f5c903f32e847fcbc963b539aab25d9)
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            var circle_marker_067284dee7f947d4b8703c6f57ea4ff5 = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_02595625492b43c4ad17331ef135006c = L.popup({"maxWidth": "100%"});

        
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            popup_02595625492b43c4ad17331ef135006c.setContent(html_32e2905c915048a39cdf1be9768b21e1);
        

        circle_marker_067284dee7f947d4b8703c6f57ea4ff5.bindPopup(popup_02595625492b43c4ad17331ef135006c)
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            var circle_marker_9c94b0b7ce534134be6641303e09c967 = 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_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_2f135e31f5e1472da8c4ad01b1f26bd5 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_9c94b0b7ce534134be6641303e09c967.bindPopup(popup_2f135e31f5e1472da8c4ad01b1f26bd5)
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            var circle_marker_53ecdee82d8a46a7863c8c1d5ca3eccc = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_a748012ee91d41a9b034b34ec3cdea72 = L.popup({"maxWidth": "100%"});

        
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            popup_a748012ee91d41a9b034b34ec3cdea72.setContent(html_f532ac39a97a44aa90639255e97443e9);
        

        circle_marker_53ecdee82d8a46a7863c8c1d5ca3eccc.bindPopup(popup_a748012ee91d41a9b034b34ec3cdea72)
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            var circle_marker_01a43a30213e452faa356fc918adc8e1 = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_43ee5c56377946ac90de43d6111a930c = L.popup({"maxWidth": "100%"});

        
            var html_19237f4a5fba4229ae9d68958f01a2e2 = $(`<div id="html_19237f4a5fba4229ae9d68958f01a2e2" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 0</div>`)[0];
            popup_43ee5c56377946ac90de43d6111a930c.setContent(html_19237f4a5fba4229ae9d68958f01a2e2);
        

        circle_marker_01a43a30213e452faa356fc918adc8e1.bindPopup(popup_43ee5c56377946ac90de43d6111a930c)
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            var circle_marker_2cf01bcf3eb94805afc6c1868d484589 = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_ed41d43c048149629c4c1d5210c2acfe = L.popup({"maxWidth": "100%"});

        
            var html_b4a883a1c5884d74a39a0cd6de780030 = $(`<div id="html_b4a883a1c5884d74a39a0cd6de780030" style="width: 100.0%; height: 100.0%;">Forest Hill North &amp; West, Forest Hill Road Park Cluster 0</div>`)[0];
            popup_ed41d43c048149629c4c1d5210c2acfe.setContent(html_b4a883a1c5884d74a39a0cd6de780030);
        

        circle_marker_2cf01bcf3eb94805afc6c1868d484589.bindPopup(popup_ed41d43c048149629c4c1d5210c2acfe)
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            var circle_marker_a951f365821a44d4a476d38f4f28a740 = L.circleMarker(
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        var popup_95ba55fd77c04ee8b3dab8d62fabcd6a = L.popup({"maxWidth": "100%"});

        
            var html_a78e244390a94ec69b7c1f7af7232562 = $(`<div id="html_a78e244390a94ec69b7c1f7af7232562" style="width: 100.0%; height: 100.0%;">High Park, The Junction South Cluster 0</div>`)[0];
            popup_95ba55fd77c04ee8b3dab8d62fabcd6a.setContent(html_a78e244390a94ec69b7c1f7af7232562);
        

        circle_marker_a951f365821a44d4a476d38f4f28a740.bindPopup(popup_95ba55fd77c04ee8b3dab8d62fabcd6a)
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            var circle_marker_d1dc11d236c6494695143d895e7815dc = L.circleMarker(
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        var popup_05d81c2b55a34f808872c7ca6912d231 = L.popup({"maxWidth": "100%"});

        
            var html_03da2102861b4da483d8487c51dfc49c = $(`<div id="html_03da2102861b4da483d8487c51dfc49c" style="width: 100.0%; height: 100.0%;">North Toronto West,  Lawrence Park Cluster 0</div>`)[0];
            popup_05d81c2b55a34f808872c7ca6912d231.setContent(html_03da2102861b4da483d8487c51dfc49c);
        

        circle_marker_d1dc11d236c6494695143d895e7815dc.bindPopup(popup_05d81c2b55a34f808872c7ca6912d231)
        ;

        
    
    
            var circle_marker_d32d8de865494a33babfabc52d79725d = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_26ba6db922214e30a05c313137e5d465 = L.popup({"maxWidth": "100%"});

        
            var html_b8953bc62a644b75afa71b12f5f15e4d = $(`<div id="html_b8953bc62a644b75afa71b12f5f15e4d" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville Cluster 0</div>`)[0];
            popup_26ba6db922214e30a05c313137e5d465.setContent(html_b8953bc62a644b75afa71b12f5f15e4d);
        

        circle_marker_d32d8de865494a33babfabc52d79725d.bindPopup(popup_26ba6db922214e30a05c313137e5d465)
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            var circle_marker_45d0540e5ce84693946d1c0b7368a76e = L.circleMarker(
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            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_53e400f4439c42adae612eb84e9f023f = L.popup({"maxWidth": "100%"});

        
            var html_4da4a3aff87a490892a8a41c22598682 = $(`<div id="html_4da4a3aff87a490892a8a41c22598682" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles Cluster 0</div>`)[0];
            popup_53e400f4439c42adae612eb84e9f023f.setContent(html_4da4a3aff87a490892a8a41c22598682);
        

        circle_marker_45d0540e5ce84693946d1c0b7368a76e.bindPopup(popup_53e400f4439c42adae612eb84e9f023f)
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            var circle_marker_ba709c88eaf44d948858d650ad572370 = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_28f30bba6e1d4aabae5f4fe7b191f072 = L.popup({"maxWidth": "100%"});

        
            var html_7608aaf8378c4e0abf3f68bf0b7ddc82 = $(`<div id="html_7608aaf8378c4e0abf3f68bf0b7ddc82" style="width: 100.0%; height: 100.0%;">Davisville Cluster 0</div>`)[0];
            popup_28f30bba6e1d4aabae5f4fe7b191f072.setContent(html_7608aaf8378c4e0abf3f68bf0b7ddc82);
        

        circle_marker_ba709c88eaf44d948858d650ad572370.bindPopup(popup_28f30bba6e1d4aabae5f4fe7b191f072)
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            var circle_marker_31da845189694aa59874bc47b9e6bb26 = 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}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_9246ddbe84824e20b5f1180e5897039d = L.popup({"maxWidth": "100%"});

        
            var html_f10b9fd78ead4ffcaf61d928aed4a167 = $(`<div id="html_f10b9fd78ead4ffcaf61d928aed4a167" style="width: 100.0%; height: 100.0%;">University of Toronto, Harbord Cluster 0</div>`)[0];
            popup_9246ddbe84824e20b5f1180e5897039d.setContent(html_f10b9fd78ead4ffcaf61d928aed4a167);
        

        circle_marker_31da845189694aa59874bc47b9e6bb26.bindPopup(popup_9246ddbe84824e20b5f1180e5897039d)
        ;

        
    
    
            var circle_marker_f84879c11ed743fdaf4fe6c58bcf7881 = 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_fa0a980f49c5447f84d80112259b9e4b = L.popup({"maxWidth": "100%"});

        
            var html_86060993523f44a498c1ded6229edea7 = $(`<div id="html_86060993523f44a498c1ded6229edea7" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea Cluster 0</div>`)[0];
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        circle_marker_f84879c11ed743fdaf4fe6c58bcf7881.bindPopup(popup_fa0a980f49c5447f84d80112259b9e4b)
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        var popup_ae735978dc714c1c9e86f374bb79b773 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_146b70231f974a98985ddbc66b43ab7b.bindPopup(popup_ae735978dc714c1c9e86f374bb79b773)
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            var circle_marker_a205efb490bd4142a5235307281d1fc7 = L.circleMarker(
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            popup_2dbcbbdd9604404f8f839e31289b5ca8.setContent(html_018ade9725bc42aebd8ca74dc38e75e0);
        

        circle_marker_a205efb490bd4142a5235307281d1fc7.bindPopup(popup_2dbcbbdd9604404f8f839e31289b5ca8)
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            var circle_marker_ffdf71ab74a545feb3c42a6ae0531fed = L.circleMarker(
                [43.68641229999999, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_69339ad932df462d881c9fe9e2f3becd = L.popup({"maxWidth": "100%"});

        
            var html_2d6ee0aadca94407843e4a7ca541fecc = $(`<div id="html_2d6ee0aadca94407843e4a7ca541fecc" style="width: 100.0%; height: 100.0%;">Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park Cluster 0</div>`)[0];
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        circle_marker_ffdf71ab74a545feb3c42a6ae0531fed.bindPopup(popup_69339ad932df462d881c9fe9e2f3becd)
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            var circle_marker_002356f45c124b899dbbf1ea4729b17f = L.circleMarker(
                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_3dab51049de24d4c86c38eccbad93753 = L.popup({"maxWidth": "100%"});

        
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            popup_3dab51049de24d4c86c38eccbad93753.setContent(html_36249c595e5f40d598698e4528aef6c1);
        

        circle_marker_002356f45c124b899dbbf1ea4729b17f.bindPopup(popup_3dab51049de24d4c86c38eccbad93753)
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            var circle_marker_c98deba6a7b44040a00e87b3ce14a07a = L.circleMarker(
                [43.6795626, -79.37752940000001],
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        var popup_bffa33760b79415996438ff1f69bd906 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_c98deba6a7b44040a00e87b3ce14a07a.bindPopup(popup_bffa33760b79415996438ff1f69bd906)
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            var circle_marker_6e118107f1434873a04feaf48514f4b9 = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_da0a7335d6c640cf9dc03c9552ac3c91 = L.popup({"maxWidth": "100%"});

        
            var html_e19ddd7dcc8a411c8cb1452a7ef1bfa6 = $(`<div id="html_e19ddd7dcc8a411c8cb1452a7ef1bfa6" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes Cluster 0</div>`)[0];
            popup_da0a7335d6c640cf9dc03c9552ac3c91.setContent(html_e19ddd7dcc8a411c8cb1452a7ef1bfa6);
        

        circle_marker_6e118107f1434873a04feaf48514f4b9.bindPopup(popup_da0a7335d6c640cf9dc03c9552ac3c91)
        ;

        
    
    
            var circle_marker_aa5be81bb329494382147217b9b8cc73 = L.circleMarker(
                [43.667967, -79.3676753],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_13b6ea1041ac46a58667d017afc65df6 = L.popup({"maxWidth": "100%"});

        
            var html_52a1b5cbb46f45c39a1f7ded976b06b3 = $(`<div id="html_52a1b5cbb46f45c39a1f7ded976b06b3" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown Cluster 0</div>`)[0];
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        circle_marker_aa5be81bb329494382147217b9b8cc73.bindPopup(popup_13b6ea1041ac46a58667d017afc65df6)
        ;

        
    
    
            var circle_marker_3915cd78ebd64dec97ed120a23b51a37 = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_027400963e224f74a2fa78885f5d73de = L.popup({"maxWidth": "100%"});

        
            var html_ccf38b046bbe41c6a3a8d5ad4495b8a5 = $(`<div id="html_ccf38b046bbe41c6a3a8d5ad4495b8a5" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 0</div>`)[0];
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        circle_marker_3915cd78ebd64dec97ed120a23b51a37.bindPopup(popup_027400963e224f74a2fa78885f5d73de)
        ;

        
    
    
            var circle_marker_80fc06b97fd143889634b969ff36d5a2 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_c33cebfa65e8445f8d876b8d5ceef04c = L.popup({"maxWidth": "100%"});

        
            var html_5c88821c6c794976829167226aaf12a6 = $(`<div id="html_5c88821c6c794976829167226aaf12a6" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 0</div>`)[0];
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        circle_marker_80fc06b97fd143889634b969ff36d5a2.bindPopup(popup_c33cebfa65e8445f8d876b8d5ceef04c)
        ;

        
    
    
            var circle_marker_73534f3eaa064e9785979783a34fdf6b = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fcbf1a94c3f41f7ae80bc7c139c5834);
        
    
        var popup_41fef568b5184373992d15211500f14e = L.popup({"maxWidth": "100%"});

        
            var html_f7a2fb00cdbb422daf2f44f4a1437f79 = $(`<div id="html_f7a2fb00cdbb422daf2f44f4a1437f79" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto Cluster 0</div>`)[0];
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        circle_marker_73534f3eaa064e9785979783a34fdf6b.bindPopup(popup_41fef568b5184373992d15211500f14e)
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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 0x7f8d9d1fa290>"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 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",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighbourhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Cluster Analysis_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        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>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Nightclub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>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>Deli / Bodega</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Lounge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Lounge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>BBQ Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Gaming Cafe</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>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>Seafood Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Café</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0   Downtown Toronto               0           Coffee Shop   \n",
       "1   Downtown Toronto               0           Coffee Shop   \n",
       "2   Downtown Toronto               0           Coffee Shop   \n",
       "3   Downtown Toronto               0           Coffee Shop   \n",
       "4       East Toronto               0                   Pub   \n",
       "5   Downtown Toronto               0           Coffee Shop   \n",
       "6   Downtown Toronto               0           Coffee Shop   \n",
       "7   Downtown Toronto               0         Grocery Store   \n",
       "8   Downtown Toronto               0           Coffee Shop   \n",
       "9       West Toronto               0              Pharmacy   \n",
       "10  Downtown Toronto               0           Coffee Shop   \n",
       "11      West Toronto               0                   Bar   \n",
       "12      East Toronto               0      Greek Restaurant   \n",
       "13  Downtown Toronto               0           Coffee Shop   \n",
       "14      West Toronto               0                  Café   \n",
       "15      East Toronto               0        Sandwich Place   \n",
       "16  Downtown Toronto               0           Coffee Shop   \n",
       "17      East Toronto               0           Coffee Shop   \n",
       "19   Central Toronto               0        Ice Cream Shop   \n",
       "20   Central Toronto               0                 Hotel   \n",
       "21   Central Toronto               0         Jewelry Store   \n",
       "22      West Toronto               0                  Café   \n",
       "23   Central Toronto               0        Clothing Store   \n",
       "24   Central Toronto               0        Sandwich Place   \n",
       "25      West Toronto               0             Gift Shop   \n",
       "26   Central Toronto               0        Sandwich Place   \n",
       "27  Downtown Toronto               0                  Café   \n",
       "28      West Toronto               0                  Café   \n",
       "30  Downtown Toronto               0                  Café   \n",
       "31   Central Toronto               0           Coffee Shop   \n",
       "32  Downtown Toronto               0       Airport Service   \n",
       "34  Downtown Toronto               0           Coffee Shop   \n",
       "35  Downtown Toronto               0           Pizza Place   \n",
       "36  Downtown Toronto               0           Coffee Shop   \n",
       "37  Downtown Toronto               0           Coffee Shop   \n",
       "38      East Toronto               0    Light Rail Station   \n",
       "\n",
       "            2nd Most Common Venue          3rd Most Common Venue  \\\n",
       "0                            Café                           Park   \n",
       "1                Sushi Restaurant                    Yoga Studio   \n",
       "2                  Clothing Store                           Café   \n",
       "3                            Café            American Restaurant   \n",
       "4                           Trail              Health Food Store   \n",
       "5                    Cocktail Bar                       Beer Bar   \n",
       "6              Italian Restaurant                 Sandwich Place   \n",
       "7                            Café                           Park   \n",
       "8                            Café                          Hotel   \n",
       "9                          Bakery                  Grocery Store   \n",
       "10                       Aquarium                          Hotel   \n",
       "11                           Café  Vegetarian / Vegan Restaurant   \n",
       "12                    Coffee Shop             Italian Restaurant   \n",
       "13                          Hotel                           Café   \n",
       "14                    Coffee Shop                 Breakfast Spot   \n",
       "15                           Park           Fast Food Restaurant   \n",
       "16                     Restaurant                           Café   \n",
       "17            American Restaurant                        Brewery   \n",
       "19                    Music Venue                         Garden   \n",
       "20                           Park                    Pizza Place   \n",
       "21                          Trail             Mexican Restaurant   \n",
       "22             Mexican Restaurant                Thai Restaurant   \n",
       "23                    Coffee Shop                    Yoga Studio   \n",
       "24                           Café                    Coffee Shop   \n",
       "25                 Breakfast Spot                     Restaurant   \n",
       "26                   Dessert Shop               Sushi Restaurant   \n",
       "27                            Bar             Italian Restaurant   \n",
       "28                    Coffee Shop                    Pizza Place   \n",
       "30  Vegetarian / Vegan Restaurant          Vietnamese Restaurant   \n",
       "31                    Pizza Place                   Liquor Store   \n",
       "32               Airport Terminal                 Airport Lounge   \n",
       "34             Seafood Restaurant             Italian Restaurant   \n",
       "35                    Coffee Shop                     Restaurant   \n",
       "36                           Café                          Hotel   \n",
       "37            Japanese Restaurant               Sushi Restaurant   \n",
       "38                    Yoga Studio                  Auto Workshop   \n",
       "\n",
       "     4th Most Common Venue      5th Most Common Venue  6th Most Common Venue  \\\n",
       "0                   Bakery                        Pub                Theater   \n",
       "1                    Diner              Smoothie Shop     Italian Restaurant   \n",
       "2                    Hotel  Middle Eastern Restaurant        Bubble Tea Shop   \n",
       "3           Cosmetics Shop               Cocktail Bar       Department Store   \n",
       "4         Asian Restaurant                   Wine Bar    Distribution Center   \n",
       "5           Farmers Market                   Pharmacy            Cheese Shop   \n",
       "6                     Café               Burger Joint            Salad Place   \n",
       "7       Athletics & Sports         Italian Restaurant             Restaurant   \n",
       "8               Restaurant                        Gym          Deli / Bodega   \n",
       "9              Supermarket  Middle Eastern Restaurant            Music Venue   \n",
       "10                    Café             Scenic Lookout                Brewery   \n",
       "11        Asian Restaurant                 Restaurant  Vietnamese Restaurant   \n",
       "12  Furniture / Home Store                  Bookstore         Ice Cream Shop   \n",
       "13             Salad Place                 Restaurant    American Restaurant   \n",
       "14           Grocery Store                     Bakery                    Bar   \n",
       "15            Liquor Store          Fish & Chips Shop                    Pub   \n",
       "16                   Hotel                        Gym    American Restaurant   \n",
       "17               Gastropub                       Café                 Bakery   \n",
       "19            Home Service             Discount Store       Department Store   \n",
       "20       Food & Drink Shop             Sandwich Place       Department Store   \n",
       "21        Sushi Restaurant                   Wine Bar       Department Store   \n",
       "22           Grocery Store                     Bakery              Speakeasy   \n",
       "23     Sporting Goods Shop       Fast Food Restaurant                  Diner   \n",
       "24                    Park                Cheese Shop           Burger Joint   \n",
       "25               Bookstore               Dessert Shop            Coffee Shop   \n",
       "26      Italian Restaurant                Coffee Shop                    Gym   \n",
       "27     Japanese Restaurant                  Bookstore                 Bakery   \n",
       "28        Sushi Restaurant                        Pub     Italian Restaurant   \n",
       "30            Dessert Shop                Coffee Shop     Mexican Restaurant   \n",
       "31              Restaurant                       Bank                    Pub   \n",
       "32         Harbor / Marina           Sculpture Garden                  Plane   \n",
       "34     Japanese Restaurant               Cocktail Bar               Beer Bar   \n",
       "35                     Pub         Italian Restaurant                 Bakery   \n",
       "36              Restaurant                        Gym    Japanese Restaurant   \n",
       "37              Restaurant                    Gay Bar            Yoga Studio   \n",
       "38    Gym / Fitness Center              Garden Center                 Garden   \n",
       "\n",
       "          7th Most Common Venue      8th Most Common Venue  \\\n",
       "0                Breakfast Spot          Electronics Store   \n",
       "1                      Beer Bar             Sandwich Place   \n",
       "2                Cosmetics Shop        Japanese Restaurant   \n",
       "3                Farmers Market                  Gastropub   \n",
       "4              Department Store               Dessert Shop   \n",
       "5                        Bakery                 Restaurant   \n",
       "6               Bubble Tea Shop            Thai Restaurant   \n",
       "7                    Baby Store                Candy Store   \n",
       "8               Thai Restaurant        American Restaurant   \n",
       "9                   Pizza Place                       Pool   \n",
       "10           Italian Restaurant        Fried Chicken Joint   \n",
       "11                  Men's Store                Coffee Shop   \n",
       "12                Grocery Store                        Pub   \n",
       "13           Seafood Restaurant        Japanese Restaurant   \n",
       "14           Italian Restaurant                 Restaurant   \n",
       "15               Ice Cream Shop           Sushi Restaurant   \n",
       "16           Seafood Restaurant              Deli / Bodega   \n",
       "17                  Yoga Studio             Ice Cream Shop   \n",
       "19                 Dessert Shop                      Diner   \n",
       "20               Breakfast Spot       Gym / Fitness Center   \n",
       "21                  Escape Room          Electronics Store   \n",
       "22                    Bookstore  Cajun / Creole Restaurant   \n",
       "23           Mexican Restaurant                  Pet Store   \n",
       "24    Middle Eastern Restaurant          Indian Restaurant   \n",
       "25  Eastern European Restaurant         Italian Restaurant   \n",
       "26              Thai Restaurant                       Café   \n",
       "27                  Yoga Studio                        Pub   \n",
       "28                  Yoga Studio             Sandwich Place   \n",
       "30                Grocery Store    Comfort Food Restaurant   \n",
       "31                   Bagel Shop                Supermarket   \n",
       "32          Rental Car Location              Boat or Ferry   \n",
       "34                         Café                 Restaurant   \n",
       "35                         Café              Grocery Store   \n",
       "36          American Restaurant         Seafood Restaurant   \n",
       "37                         Café                Men's Store   \n",
       "38         Fast Food Restaurant             Farmers Market   \n",
       "\n",
       "          9th Most Common Venue 10th Most Common Venue  \n",
       "0                           Spa             Beer Store  \n",
       "1                 Burrito Place         Discount Store  \n",
       "2          Fast Food Restaurant                  Diner  \n",
       "3                    Restaurant               Creperie  \n",
       "4                         Diner         Discount Store  \n",
       "5            Seafood Restaurant                Butcher  \n",
       "6              Ramen Restaurant  Portuguese Restaurant  \n",
       "7                   Coffee Shop              Nightclub  \n",
       "8                    Steakhouse                 Lounge  \n",
       "9         Portuguese Restaurant                   Café  \n",
       "10                   Restaurant            Music Venue  \n",
       "11            Korean Restaurant     Italian Restaurant  \n",
       "12                  Pizza Place                 Lounge  \n",
       "13           Italian Restaurant               Beer Bar  \n",
       "14                 Climbing Gym          Burrito Place  \n",
       "15                Burrito Place     Italian Restaurant  \n",
       "16           Italian Restaurant    Japanese Restaurant  \n",
       "17                         Bank                    Bar  \n",
       "19                     Wine Bar          Deli / Bodega  \n",
       "20             Doner Restaurant          Deli / Bodega  \n",
       "21  Eastern European Restaurant             Donut Shop  \n",
       "22                  Music Venue                  Diner  \n",
       "23           Chinese Restaurant                   Café  \n",
       "24                  Flower Shop              BBQ Joint  \n",
       "25                          Bar       Cuban Restaurant  \n",
       "26                  Pizza Place                Brewery  \n",
       "27                     Beer Bar             Beer Store  \n",
       "28                          Bar    Indie Movie Theater  \n",
       "30                  Gaming Cafe   Caribbean Restaurant  \n",
       "31             Sushi Restaurant    Fried Chicken Joint  \n",
       "32                          Bar           Airport Gate  \n",
       "34                        Hotel               Creperie  \n",
       "35           Chinese Restaurant         Sandwich Place  \n",
       "36             Asian Restaurant            Salad Place  \n",
       "37     Mediterranean Restaurant                  Hotel  \n",
       "38                   Comic Shop            Pizza Place  "
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {
    "collapsed": true
   },
   "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>18</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "18   Central Toronto               1                  Park   \n",
       "29   Central Toronto               1                  Park   \n",
       "33  Downtown Toronto               1                  Park   \n",
       "\n",
       "   2nd Most Common Venue       3rd Most Common Venue 4th Most Common Venue  \\\n",
       "18           Swim School  Construction & Landscaping              Bus Line   \n",
       "29                   Gym               Deli / Bodega  Ethiopian Restaurant   \n",
       "33                 Trail                  Playground          Dance Studio   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "18  Ethiopian Restaurant           Escape Room            Electronics Store   \n",
       "29           Escape Room     Electronics Store  Eastern European Restaurant   \n",
       "33           Escape Room     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "18  Eastern European Restaurant            Donut Shop       Doner Restaurant  \n",
       "29                   Donut Shop      Doner Restaurant                Dog Run  \n",
       "33                   Donut Shop      Doner Restaurant                Dog Run  "
      ]
     },
     "execution_count": 214,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Toronto neighborhoods can be diveded into two clusters ##\n",
    "### It seems logical to name those clusters \"_parks_\" and \"_coffe shops_\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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