Exploring Neighborhoods in Toronto final.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Capstone Project - The Battle of the Neighborhoods (Week 5)\n",
    "\n",
    "## Applied Data Science Capstone by IBM/Coursera"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction: Business Problem\n",
    "\n",
    "The aim of this project is to explore neighbourhoods in Tronoto, Canada.\n",
    "\n",
    "The first task would be to choose the safest borough by analysing crime data for opening a grocery store and short listing a neighbourhood, where grocery stores are not amongst the most commom venues, and yet as close to the city as possible.\n",
    "\n",
    "We will make use of our data science tools to analyse data and focus on the safest borough and explore its neighborhoods and the 10 most common venues in each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"import requests\\nimport pandas as pd\\nfrom bs4 import BeautifulSoup\\nurl='https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\\npage = requests.get(url)\\npage.content\\nsoup= BeautifulSoup(page.content,'html.parser')\\nstat_head=soup.find_all('tr')\\nk=[]\\nn=[]\\nfor row in stat_head:\\n    for cell in row.find_all('th'):\\n        k.append(cell.text[:-1])\\nk.pop(3)\\nstat_data=soup.find_all('tr')\\nfor row in stat_data:\\n    h=[]\\n    for cell in row.find_all('td'):\\n        if(cell.text !='Not assigned\\n'):\\n            l=len(cell.text)\\n            h.append(cell.text[:l-1])\\n    if(len(h)==3):\\n        n.append(h)\\ndata=n\\ndf=pd.DataFrame(data,columns=k)\\nprint(df)\\ndf.to_csv('wikiscrap.csv', index=False)\""
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''import requests\n",
    "import pandas as pd\n",
    "from bs4 import BeautifulSoup\n",
    "url='https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "page = requests.get(url)\n",
    "page.content\n",
    "soup= BeautifulSoup(page.content,'html.parser')\n",
    "stat_head=soup.find_all('tr')\n",
    "k=[]\n",
    "n=[]\n",
    "for row in stat_head:\n",
    "    for cell in row.find_all('th'):\n",
    "        k.append(cell.text[:-1])\n",
    "k.pop(3)\n",
    "stat_data=soup.find_all('tr')\n",
    "for row in stat_data:\n",
    "    h=[]\n",
    "    for cell in row.find_all('td'):\n",
    "        if(cell.text !='Not assigned\\n'):\n",
    "            l=len(cell.text)\n",
    "            h.append(cell.text[:l-1])\n",
    "    if(len(h)==3):\n",
    "        n.append(h)\n",
    "data=n\n",
    "df=pd.DataFrame(data,columns=k)\n",
    "print(df)\n",
    "df.to_csv('wikiscrap.csv', index=False)'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue, Humber Valley Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>M9B</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>West Deane Park, Princess Gardens, Martin Grov...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postal Code           Borough  \\\n",
       "0          M3A        North York   \n",
       "1          M4A        North York   \n",
       "2          M5A  Downtown Toronto   \n",
       "3          M6A        North York   \n",
       "4          M7A  Downtown Toronto   \n",
       "5          M9A         Etobicoke   \n",
       "6          M1B       Scarborough   \n",
       "7          M3B        North York   \n",
       "8          M4B         East York   \n",
       "9          M5B  Downtown Toronto   \n",
       "10         M6B        North York   \n",
       "11         M9B         Etobicoke   \n",
       "\n",
       "                                        Neighbourhood  \n",
       "0                                           Parkwoods  \n",
       "1                                    Victoria Village  \n",
       "2                           Regent Park, Harbourfront  \n",
       "3                    Lawrence Manor, Lawrence Heights  \n",
       "4         Queen's Park, Ontario Provincial Government  \n",
       "5             Islington Avenue, Humber Valley Village  \n",
       "6                                      Malvern, Rouge  \n",
       "7                                           Don Mills  \n",
       "8                     Parkview Hill, Woodbine Gardens  \n",
       "9                            Garden District, Ryerson  \n",
       "10                                          Glencairn  \n",
       "11  West Deane Park, Princess Gardens, Martin Grov...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "old = pd.read_csv('wikiscrap.csv')\n",
    "old.head(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>98</td>\n",
       "      <td>M9N</td>\n",
       "      <td>43.706876</td>\n",
       "      <td>-79.518188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>99</td>\n",
       "      <td>M9P</td>\n",
       "      <td>43.696319</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>M9R</td>\n",
       "      <td>43.688905</td>\n",
       "      <td>-79.554724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>101</td>\n",
       "      <td>M9V</td>\n",
       "      <td>43.739416</td>\n",
       "      <td>-79.588437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>102</td>\n",
       "      <td>M9W</td>\n",
       "      <td>43.706748</td>\n",
       "      <td>-79.594054</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal Code   Latitude  Longitude\n",
       "0           M1B  43.806686 -79.194353\n",
       "1           M1C  43.784535 -79.160497\n",
       "2           M1E  43.763573 -79.188711\n",
       "3           M1G  43.770992 -79.216917\n",
       "4           M1H  43.773136 -79.239476\n",
       "..          ...        ...        ...\n",
       "98          M9N  43.706876 -79.518188\n",
       "99          M9P  43.696319 -79.532242\n",
       "100         M9R  43.688905 -79.554724\n",
       "101         M9V  43.739416 -79.588437\n",
       "102         M9W  43.706748 -79.594054\n",
       "\n",
       "[103 rows x 3 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "o = pd.read_csv('Geospatial_Coordinates.csv')\n",
    "o"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\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",
       "      <td>5</td>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue, Humber Valley Village</td>\n",
       "      <td>43.667856</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "      <td>43.706397</td>\n",
       "      <td>-79.309937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\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",
       "      <td>10</td>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>43.709577</td>\n",
       "      <td>-79.445073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>M9B</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>West Deane Park, Princess Gardens, Martin Grov...</td>\n",
       "      <td>43.650943</td>\n",
       "      <td>-79.554724</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postal Code           Borough  \\\n",
       "0          M3A        North York   \n",
       "1          M4A        North York   \n",
       "2          M5A  Downtown Toronto   \n",
       "3          M6A        North York   \n",
       "4          M7A  Downtown Toronto   \n",
       "5          M9A         Etobicoke   \n",
       "6          M1B       Scarborough   \n",
       "7          M3B        North York   \n",
       "8          M4B         East York   \n",
       "9          M5B  Downtown Toronto   \n",
       "10         M6B        North York   \n",
       "11         M9B         Etobicoke   \n",
       "\n",
       "                                        Neighbourhood   Latitude  Longitude  \n",
       "0                                           Parkwoods  43.753259 -79.329656  \n",
       "1                                    Victoria Village  43.725882 -79.315572  \n",
       "2                           Regent Park, Harbourfront  43.654260 -79.360636  \n",
       "3                    Lawrence Manor, Lawrence Heights  43.718518 -79.464763  \n",
       "4         Queen's Park, Ontario Provincial Government  43.662301 -79.389494  \n",
       "5             Islington Avenue, Humber Valley Village  43.667856 -79.532242  \n",
       "6                                      Malvern, Rouge  43.806686 -79.194353  \n",
       "7                                           Don Mills  43.745906 -79.352188  \n",
       "8                     Parkview Hill, Woodbine Gardens  43.706397 -79.309937  \n",
       "9                            Garden District, Ryerson  43.657162 -79.378937  \n",
       "10                                          Glencairn  43.709577 -79.445073  \n",
       "11  West Deane Park, Princess Gardens, Martin Grov...  43.650943 -79.554724  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged=old.merge(o, on='Postal Code')\n",
    "merged.head(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "from geopy.geocoders import Nominatim\n",
    "address = 'Toronto, ON'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"ny_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": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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        circle_marker_4db38514dc784a8eb82f9c2c70e91abc.bindPopup(popup_af47a9c8402049b7b6b85fb7e40fe93d)
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            popup_56969f1db30147978d5ff33b641f60bb.setContent(html_c4fd85afa47943d7acf90ba85da4affc);
        

        circle_marker_2a5c6144411e4b028ed14f4000a1d24c.bindPopup(popup_56969f1db30147978d5ff33b641f60bb)
        ;

        
    
    
            var circle_marker_e1ccb0d969224804b26e71e231f4c4fa = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5690177b61204287b90c5816e2eb95ea);
        
    
        var popup_9289638d22844d9b973095833687451e = L.popup({"maxWidth": "100%"});

        
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            popup_9289638d22844d9b973095833687451e.setContent(html_270c1b88c09440d09a7341f7f0e0629a);
        

        circle_marker_e1ccb0d969224804b26e71e231f4c4fa.bindPopup(popup_9289638d22844d9b973095833687451e)
        ;

        
    
    
            var circle_marker_12cb2d5f9ec6440d90465f5ab7fbbd34 = L.circleMarker(
                [43.653653600000005, -79.5069436],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5690177b61204287b90c5816e2eb95ea);
        
    
        var popup_8d6f3b49e5af4918844d067057ed99a1 = L.popup({"maxWidth": "100%"});

        
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            popup_8d6f3b49e5af4918844d067057ed99a1.setContent(html_31eba3b6f3b24b2c927a2933b5ecf64e);
        

        circle_marker_12cb2d5f9ec6440d90465f5ab7fbbd34.bindPopup(popup_8d6f3b49e5af4918844d067057ed99a1)
        ;

        
    
    
            var circle_marker_2b1f4c63ac7548b0a898245dcdcaeaf8 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5690177b61204287b90c5816e2eb95ea);
        
    
        var popup_87cf85fbacb24017850d633a79bfe839 = L.popup({"maxWidth": "100%"});

        
            var html_18a49040ecd74cd3a8f33786aacc0d25 = $(`<div id="html_18a49040ecd74cd3a8f33786aacc0d25" style="width: 100.0%; height: 100.0%;">Church and Wellesley, Downtown Toronto</div>`)[0];
            popup_87cf85fbacb24017850d633a79bfe839.setContent(html_18a49040ecd74cd3a8f33786aacc0d25);
        

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        ;

        
    
    
            var circle_marker_0237b6d870ed4d928c0a17b36c84f1fb = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5690177b61204287b90c5816e2eb95ea);
        
    
        var popup_71575b6ed2a946eda7a166519eada130 = L.popup({"maxWidth": "100%"});

        
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        ;

        
    
    
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                [43.6362579, -79.49850909999999],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5690177b61204287b90c5816e2eb95ea);
        
    
        var popup_6b11746b5ac7429088b88b816d0064ed = L.popup({"maxWidth": "100%"});

        
            var html_87408375b8cb408db7d172071943b4bd = $(`<div id="html_87408375b8cb408db7d172071943b4bd" style="width: 100.0%; height: 100.0%;">Old Mill South, King&#39;s Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East, Etobicoke</div>`)[0];
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        ;

        
    
    
            var circle_marker_dbe4f010bf6a48e0806211b7b7ffc877 = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5690177b61204287b90c5816e2eb95ea);
        
    
        var popup_3f7e147581884688a4bb3a0fa07970c2 = L.popup({"maxWidth": "100%"});

        
            var html_7204805b0f014a38b23fb19b663fe1f5 = $(`<div id="html_7204805b0f014a38b23fb19b663fe1f5" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West, Etobicoke</div>`)[0];
            popup_3f7e147581884688a4bb3a0fa07970c2.setContent(html_7204805b0f014a38b23fb19b663fe1f5);
        

        circle_marker_dbe4f010bf6a48e0806211b7b7ffc877.bindPopup(popup_3f7e147581884688a4bb3a0fa07970c2)
        ;

        
    
</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 0x1a56327f9c8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of New York using latitude and longitude values\n",
    "import folium\n",
    "map_tr = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(merged['Latitude'], merged['Longitude'], merged['Borough'], merged['Neighbourhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='red',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_tr)\n",
    "    \n",
    "map_tr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>43.709577</td>\n",
       "      <td>-79.445073</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code     Borough                     Neighbourhood   Latitude  \\\n",
       "0         M3A  North York                         Parkwoods  43.753259   \n",
       "1         M4A  North York                  Victoria Village  43.725882   \n",
       "2         M6A  North York  Lawrence Manor, Lawrence Heights  43.718518   \n",
       "3         M3B  North York                         Don Mills  43.745906   \n",
       "4         M6B  North York                         Glencairn  43.709577   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.329656  \n",
       "1 -79.315572  \n",
       "2 -79.464763  \n",
       "3 -79.352188  \n",
       "4 -79.445073  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "northyork_data = merged[merged['Borough'] == 'North York'].reset_index(drop=True)\n",
    "northyork_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of North York are 43.7543263, -79.44911696639593.\n"
     ]
    }
   ],
   "source": [
    "address = 'North York, ON'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"ny_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of North York are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
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    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_4361f540beaf44c298a726b1953ef15e {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_4361f540beaf44c298a726b1953ef15e" ></div>
        
</body>
<script>    
    
            var map_4361f540beaf44c298a726b1953ef15e = L.map(
                "map_4361f540beaf44c298a726b1953ef15e",
                {
                    center: [43.7543263, -79.44911696639593],
                    crs: L.CRS.EPSG3857,
                    zoom: 11,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_f9fcd9c6874c419db24e2676bba7463a = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
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                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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            var html_bab0ae00d4254bb5ad0ebe242b82b78e = $(`<div id="html_bab0ae00d4254bb5ad0ebe242b82b78e" style="width: 100.0%; height: 100.0%;">Parkwoods</div>`)[0];
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        circle_marker_203ddad8ffd54e31bf7a14bb919f5ae9.bindPopup(popup_dce1ee914e364605acd43a86046b616b)
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        var popup_c588e9991e39472cbf01ae279221ede8 = L.popup({"maxWidth": "100%"});

        
            var html_40753add1ad0465486e156da4be57906 = $(`<div id="html_40753add1ad0465486e156da4be57906" style="width: 100.0%; height: 100.0%;">Victoria Village</div>`)[0];
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        ;

        
    
    
            var circle_marker_0ccbcb0f69b14a2a819357227b4cf754 = L.circleMarker(
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            var html_a414e73f8a5c4344ba27b8995ba72e78 = $(`<div id="html_a414e73f8a5c4344ba27b8995ba72e78" style="width: 100.0%; height: 100.0%;">Downsview</div>`)[0];
            popup_717254074741494893708bedb054c20c.setContent(html_a414e73f8a5c4344ba27b8995ba72e78);
        

        circle_marker_e757d7f8492d4e3eb17ea4a1e57f1cb6.bindPopup(popup_717254074741494893708bedb054c20c)
        ;

        
    
    
            var circle_marker_3465ebbc56564e1391d269fe94657c3c = L.circleMarker(
                [43.752758299999996, -79.4000493],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4361f540beaf44c298a726b1953ef15e);
        
    
        var popup_228a310d53e14b1986c725c8d3147260 = L.popup({"maxWidth": "100%"});

        
            var html_b224f73aa0f04c9e9034ee328a4d2578 = $(`<div id="html_b224f73aa0f04c9e9034ee328a4d2578" style="width: 100.0%; height: 100.0%;">York Mills West</div>`)[0];
            popup_228a310d53e14b1986c725c8d3147260.setContent(html_b224f73aa0f04c9e9034ee328a4d2578);
        

        circle_marker_3465ebbc56564e1391d269fe94657c3c.bindPopup(popup_228a310d53e14b1986c725c8d3147260)
        ;

        
    
    
            var circle_marker_6a6aca618ab14c77bf3e61ce85f84104 = L.circleMarker(
                [43.7827364, -79.4422593],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4361f540beaf44c298a726b1953ef15e);
        
    
        var popup_428ec357c93943dda4aba09f8fa1d7c5 = L.popup({"maxWidth": "100%"});

        
            var html_d731804f87114f7aa564ea4ccd7b9411 = $(`<div id="html_d731804f87114f7aa564ea4ccd7b9411" style="width: 100.0%; height: 100.0%;">Willowdale, Willowdale West</div>`)[0];
            popup_428ec357c93943dda4aba09f8fa1d7c5.setContent(html_d731804f87114f7aa564ea4ccd7b9411);
        

        circle_marker_6a6aca618ab14c77bf3e61ce85f84104.bindPopup(popup_428ec357c93943dda4aba09f8fa1d7c5)
        ;

        
    
</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 0x1a564e154c8>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_northyork = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(northyork_data['Latitude'], northyork_data['Longitude'], northyork_data['Neighbourhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_northyork)  \n",
    "    \n",
    "map_northyork"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: ZMHWBS0SR12Z3YDYVHJVTZPRK3U1ZP3I2TYQAJ5CU3JUHMB5\n",
      "CLIENT_SECRET:H3TT0XT3P5TIAFCV1Y2UUVLF42N44DICNKLUELK34H2TKLFR\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'ZMHWBS0SR12Z3YDYVHJVTZPRK3U1ZP3I2TYQAJ5CU3JUHMB5' # your Foursquare ID\n",
    "CLIENT_SECRET = 'H3TT0XT3P5TIAFCV1Y2UUVLF42N44DICNKLUELK34H2TKLFR' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "LIMIT = 100 # A default Foursquare API limit value\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Parkwoods'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "northyork_data.loc[0, 'Neighbourhood']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Parkwoods are 43.7532586, -79.3296565.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = northyork_data.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = northyork_data.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = northyork_data.loc[0, 'Neighbourhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "radius = 500 # define radius\n",
    "# type your answer here\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5ff5630220826a77face43b2'},\n",
       " 'response': {'warning': {'text': \"There aren't a lot of results near you. Try something more general, reset your filters, or expand the search area.\"},\n",
       "  'headerLocation': 'Parkwoods - Donalda',\n",
       "  'headerFullLocation': 'Parkwoods - Donalda, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 3,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.757758604500005,\n",
       "    'lng': -79.32343823984928},\n",
       "   'sw': {'lat': 43.7487585955, 'lng': -79.33587476015072}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4e8d9dcdd5fbbbb6b3003c7b',\n",
       "       'name': 'Brookbanks Park',\n",
       "       'location': {'address': 'Toronto',\n",
       "        'lat': 43.751976046055574,\n",
       "        'lng': -79.33214044722958,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.751976046055574,\n",
       "          'lng': -79.33214044722958}],\n",
       "        'distance': 245,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d163941735',\n",
       "         'name': 'Park',\n",
       "         'pluralName': 'Parks',\n",
       "         'shortName': 'Park',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '600917367'}},\n",
       "      'referralId': 'e-0-4e8d9dcdd5fbbbb6b3003c7b-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4e6696b6d16433b9ffff47c3',\n",
       "       'name': 'KFC',\n",
       "       'location': {'lat': 43.75438666345904,\n",
       "        'lng': -79.3330206627504,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75438666345904,\n",
       "          'lng': -79.3330206627504}],\n",
       "        'distance': 298,\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d16e941735',\n",
       "         'name': 'Fast Food Restaurant',\n",
       "         'pluralName': 'Fast Food Restaurants',\n",
       "         'shortName': 'Fast Food',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/fastfood_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4e6696b6d16433b9ffff47c3-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4cb11e2075ebb60cd1c4caad',\n",
       "       'name': 'Variety Store',\n",
       "       'location': {'address': '29 Valley Woods Road',\n",
       "        'lat': 43.75197441585782,\n",
       "        'lng': -79.33311418516017,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75197441585782,\n",
       "          'lng': -79.33311418516017}],\n",
       "        'distance': 312,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['29 Valley Woods Road', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1f9941735',\n",
       "         'name': 'Food & Drink Shop',\n",
       "         'pluralName': 'Food & Drink Shops',\n",
       "         'shortName': 'Food & Drink',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/foodanddrink_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4cb11e2075ebb60cd1c4caad-2'}]}]}}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "import requests # library to handle requests\n",
    "\n",
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Brookbanks Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>43.751976</td>\n",
       "      <td>-79.332140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>KFC</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>43.754387</td>\n",
       "      <td>-79.333021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Variety Store</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>43.751974</td>\n",
       "      <td>-79.333114</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              name            categories        lat        lng\n",
       "0  Brookbanks Park                  Park  43.751976 -79.332140\n",
       "1              KFC  Fast Food Restaurant  43.754387 -79.333021\n",
       "2    Variety Store     Food & Drink Shop  43.751974 -79.333114"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pandas.io.json import json_normalize\n",
    "\n",
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parkwoods\n",
      "Victoria Village\n",
      "Lawrence Manor, Lawrence Heights\n",
      "Don Mills\n",
      "Glencairn\n",
      "Don Mills\n",
      "Hillcrest Village\n",
      "Bathurst Manor, Wilson Heights, Downsview North\n",
      "Fairview, Henry Farm, Oriole\n",
      "Northwood Park, York University\n",
      "Bayview Village\n",
      "Downsview\n",
      "York Mills, Silver Hills\n",
      "Downsview\n",
      "North Park, Maple Leaf Park, Upwood Park\n",
      "Humber Summit\n",
      "Willowdale, Newtonbrook\n",
      "Downsview\n",
      "Bedford Park, Lawrence Manor East\n",
      "Humberlea, Emery\n",
      "Willowdale, Willowdale East\n",
      "Downsview\n",
      "York Mills West\n",
      "Willowdale, Willowdale West\n"
     ]
    }
   ],
   "source": [
    "nearby_venues = getNearbyVenues(names=northyork_data['Neighbourhood'],\n",
    "                                   latitudes=northyork_data['Latitude'],\n",
    "                                   longitudes=northyork_data['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(242, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>Brookbanks Park</td>\n",
       "      <td>43.751976</td>\n",
       "      <td>-79.332140</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>KFC</td>\n",
       "      <td>43.754387</td>\n",
       "      <td>-79.333021</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>Variety Store</td>\n",
       "      <td>43.751974</td>\n",
       "      <td>-79.333114</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>Victoria Village Arena</td>\n",
       "      <td>43.723481</td>\n",
       "      <td>-79.315635</td>\n",
       "      <td>Hockey Arena</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>Portugril</td>\n",
       "      <td>43.725819</td>\n",
       "      <td>-79.312785</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0         Parkwoods              43.753259              -79.329656   \n",
       "1         Parkwoods              43.753259              -79.329656   \n",
       "2         Parkwoods              43.753259              -79.329656   \n",
       "3  Victoria Village              43.725882              -79.315572   \n",
       "4  Victoria Village              43.725882              -79.315572   \n",
       "\n",
       "                    Venue  Venue Latitude  Venue Longitude  \\\n",
       "0         Brookbanks Park       43.751976       -79.332140   \n",
       "1                     KFC       43.754387       -79.333021   \n",
       "2           Variety Store       43.751974       -79.333114   \n",
       "3  Victoria Village Arena       43.723481       -79.315635   \n",
       "4               Portugril       43.725819       -79.312785   \n",
       "\n",
       "          Venue Category  \n",
       "0                   Park  \n",
       "1   Fast Food Restaurant  \n",
       "2      Food & Drink Shop  \n",
       "3           Hockey Arena  \n",
       "4  Portuguese Restaurant  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(nearby_venues.shape)\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\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",
       "      <td>Bayview Village</td>\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",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Don Mills</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Downsview</td>\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",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Glencairn</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Hillcrest Village</td>\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",
       "      <td>Humber Summit</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Humberlea, Emery</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>North Park, Maple Leaf Park, Upwood Park</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Northwood Park, York University</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Victoria Village</td>\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",
       "      <td>Willowdale, Newtonbrook</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Willowdale, Willowdale East</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Willowdale, Willowdale West</td>\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",
       "      <td>York Mills West</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Neighborhood Latitude  \\\n",
       "Neighborhood                                                             \n",
       "Bathurst Manor, Wilson Heights, Downsview North                     21   \n",
       "Bayview Village                                                      4   \n",
       "Bedford Park, Lawrence Manor East                                   22   \n",
       "Don Mills                                                           25   \n",
       "Downsview                                                           15   \n",
       "Fairview, Henry Farm, Oriole                                        69   \n",
       "Glencairn                                                            6   \n",
       "Hillcrest Village                                                    5   \n",
       "Humber Summit                                                        3   \n",
       "Humberlea, Emery                                                     1   \n",
       "Lawrence Manor, Lawrence Heights                                    11   \n",
       "North Park, Maple Leaf Park, Upwood Park                             3   \n",
       "Northwood Park, York University                                      8   \n",
       "Parkwoods                                                            3   \n",
       "Victoria Village                                                     4   \n",
       "Willowdale, Newtonbrook                                              1   \n",
       "Willowdale, Willowdale East                                         34   \n",
       "Willowdale, Willowdale West                                          4   \n",
       "York Mills West                                                      3   \n",
       "\n",
       "                                                 Neighborhood Longitude  \\\n",
       "Neighborhood                                                              \n",
       "Bathurst Manor, Wilson Heights, Downsview North                      21   \n",
       "Bayview Village                                                       4   \n",
       "Bedford Park, Lawrence Manor East                                    22   \n",
       "Don Mills                                                            25   \n",
       "Downsview                                                            15   \n",
       "Fairview, Henry Farm, Oriole                                         69   \n",
       "Glencairn                                                             6   \n",
       "Hillcrest Village                                                     5   \n",
       "Humber Summit                                                         3   \n",
       "Humberlea, Emery                                                      1   \n",
       "Lawrence Manor, Lawrence Heights                                     11   \n",
       "North Park, Maple Leaf Park, Upwood Park                              3   \n",
       "Northwood Park, York University                                       8   \n",
       "Parkwoods                                                             3   \n",
       "Victoria Village                                                      4   \n",
       "Willowdale, Newtonbrook                                               1   \n",
       "Willowdale, Willowdale East                                          34   \n",
       "Willowdale, Willowdale West                                           4   \n",
       "York Mills West                                                       3   \n",
       "\n",
       "                                                 Venue  Venue Latitude  \\\n",
       "Neighborhood                                                             \n",
       "Bathurst Manor, Wilson Heights, Downsview North     21              21   \n",
       "Bayview Village                                      4               4   \n",
       "Bedford Park, Lawrence Manor East                   22              22   \n",
       "Don Mills                                           25              25   \n",
       "Downsview                                           15              15   \n",
       "Fairview, Henry Farm, Oriole                        69              69   \n",
       "Glencairn                                            6               6   \n",
       "Hillcrest Village                                    5               5   \n",
       "Humber Summit                                        3               3   \n",
       "Humberlea, Emery                                     1               1   \n",
       "Lawrence Manor, Lawrence Heights                    11              11   \n",
       "North Park, Maple Leaf Park, Upwood Park             3               3   \n",
       "Northwood Park, York University                      8               8   \n",
       "Parkwoods                                            3               3   \n",
       "Victoria Village                                     4               4   \n",
       "Willowdale, Newtonbrook                              1               1   \n",
       "Willowdale, Willowdale East                         34              34   \n",
       "Willowdale, Willowdale West                          4               4   \n",
       "York Mills West                                      3               3   \n",
       "\n",
       "                                                 Venue Longitude  \\\n",
       "Neighborhood                                                       \n",
       "Bathurst Manor, Wilson Heights, Downsview North               21   \n",
       "Bayview Village                                                4   \n",
       "Bedford Park, Lawrence Manor East                             22   \n",
       "Don Mills                                                     25   \n",
       "Downsview                                                     15   \n",
       "Fairview, Henry Farm, Oriole                                  69   \n",
       "Glencairn                                                      6   \n",
       "Hillcrest Village                                              5   \n",
       "Humber Summit                                                  3   \n",
       "Humberlea, Emery                                               1   \n",
       "Lawrence Manor, Lawrence Heights                              11   \n",
       "North Park, Maple Leaf Park, Upwood Park                       3   \n",
       "Northwood Park, York University                                8   \n",
       "Parkwoods                                                      3   \n",
       "Victoria Village                                               4   \n",
       "Willowdale, Newtonbrook                                        1   \n",
       "Willowdale, Willowdale East                                   34   \n",
       "Willowdale, Willowdale West                                    4   \n",
       "York Mills West                                                3   \n",
       "\n",
       "                                                 Venue Category  \n",
       "Neighborhood                                                     \n",
       "Bathurst Manor, Wilson Heights, Downsview North              21  \n",
       "Bayview Village                                               4  \n",
       "Bedford Park, Lawrence Manor East                            22  \n",
       "Don Mills                                                    25  \n",
       "Downsview                                                    15  \n",
       "Fairview, Henry Farm, Oriole                                 69  \n",
       "Glencairn                                                     6  \n",
       "Hillcrest Village                                             5  \n",
       "Humber Summit                                                 3  \n",
       "Humberlea, Emery                                              1  \n",
       "Lawrence Manor, Lawrence Heights                             11  \n",
       "North Park, Maple Leaf Park, Upwood Park                      3  \n",
       "Northwood Park, York University                               8  \n",
       "Parkwoods                                                     3  \n",
       "Victoria Village                                              4  \n",
       "Willowdale, Newtonbrook                                       1  \n",
       "Willowdale, Willowdale East                                  34  \n",
       "Willowdale, Willowdale West                                   4  \n",
       "York Mills West                                               3  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nearby_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 100 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(nearby_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Airport</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>...</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Accessories Store  Airport  American Restaurant  \\\n",
       "0         Parkwoods                  0        0                    0   \n",
       "1         Parkwoods                  0        0                    0   \n",
       "2         Parkwoods                  0        0                    0   \n",
       "3  Victoria Village                  0        0                    0   \n",
       "4  Victoria Village                  0        0                    0   \n",
       "\n",
       "   Art Gallery  Arts & Crafts Store  Asian Restaurant  Athletics & Sports  \\\n",
       "0            0                    0                 0                   0   \n",
       "1            0                    0                 0                   0   \n",
       "2            0                    0                 0                   0   \n",
       "3            0                    0                 0                   0   \n",
       "4            0                    0                 0                   0   \n",
       "\n",
       "   Bakery  Bank  ...  Steakhouse  Supermarket  Supplement Shop  \\\n",
       "0       0     0  ...           0            0                0   \n",
       "1       0     0  ...           0            0                0   \n",
       "2       0     0  ...           0            0                0   \n",
       "3       0     0  ...           0            0                0   \n",
       "4       0     0  ...           0            0                0   \n",
       "\n",
       "   Sushi Restaurant  Thai Restaurant  Theater  Toy / Game Store  \\\n",
       "0                 0                0        0                 0   \n",
       "1                 0                0        0                 0   \n",
       "2                 0                0        0                 0   \n",
       "3                 0                0        0                 0   \n",
       "4                 0                0        0                 0   \n",
       "\n",
       "   Video Game Store  Vietnamese Restaurant  Women's Store  \n",
       "0                 0                      0              0  \n",
       "1                 0                      0              0  \n",
       "2                 0                      0              0  \n",
       "3                 0                      0              0  \n",
       "4                 0                      0              0  \n",
       "\n",
       "[5 rows x 101 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "northyork_onehot = pd.get_dummies(nearby_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "northyork_onehot['Neighborhood'] = nearby_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [northyork_onehot.columns[-1]] + list(northyork_onehot.columns[:-1])\n",
    "northyork_onehot = northyork_onehot[fixed_columns]\n",
    "\n",
    "northyork_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(242, 101)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "northyork_onehot.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Airport</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>...</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Downsview</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028986</td>\n",
       "      <td>0.028986</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>0.014493</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Humber Summit</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Humberlea, Emery</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>North Park, Maple Leaf Park, Upwood Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Northwood Park, York University</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Willowdale, Newtonbrook</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Willowdale, Willowdale East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Willowdale, Willowdale West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>York Mills West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Neighborhood  Accessories Store  \\\n",
       "0   Bathurst Manor, Wilson Heights, Downsview North           0.000000   \n",
       "1                                   Bayview Village           0.000000   \n",
       "2                 Bedford Park, Lawrence Manor East           0.000000   \n",
       "3                                         Don Mills           0.000000   \n",
       "4                                         Downsview           0.000000   \n",
       "5                      Fairview, Henry Farm, Oriole           0.000000   \n",
       "6                                         Glencairn           0.000000   \n",
       "7                                 Hillcrest Village           0.000000   \n",
       "8                                     Humber Summit           0.000000   \n",
       "9                                  Humberlea, Emery           0.000000   \n",
       "10                 Lawrence Manor, Lawrence Heights           0.090909   \n",
       "11         North Park, Maple Leaf Park, Upwood Park           0.000000   \n",
       "12                  Northwood Park, York University           0.000000   \n",
       "13                                        Parkwoods           0.000000   \n",
       "14                                 Victoria Village           0.000000   \n",
       "15                          Willowdale, Newtonbrook           0.000000   \n",
       "16                      Willowdale, Willowdale East           0.000000   \n",
       "17                      Willowdale, Willowdale West           0.000000   \n",
       "18                                  York Mills West           0.000000   \n",
       "\n",
       "     Airport  American Restaurant  Art Gallery  Arts & Crafts Store  \\\n",
       "0   0.000000             0.000000         0.00             0.000000   \n",
       "1   0.000000             0.000000         0.00             0.000000   \n",
       "2   0.000000             0.045455         0.00             0.000000   \n",
       "3   0.000000             0.000000         0.04             0.000000   \n",
       "4   0.066667             0.000000         0.00             0.000000   \n",
       "5   0.000000             0.014493         0.00             0.000000   \n",
       "6   0.000000             0.000000         0.00             0.000000   \n",
       "7   0.000000             0.000000         0.00             0.000000   \n",
       "8   0.000000             0.000000         0.00             0.000000   \n",
       "9   0.000000             0.000000         0.00             0.000000   \n",
       "10  0.000000             0.000000         0.00             0.000000   \n",
       "11  0.000000             0.000000         0.00             0.000000   \n",
       "12  0.000000             0.000000         0.00             0.000000   \n",
       "13  0.000000             0.000000         0.00             0.000000   \n",
       "14  0.000000             0.000000         0.00             0.000000   \n",
       "15  0.000000             0.000000         0.00             0.000000   \n",
       "16  0.000000             0.000000         0.00             0.029412   \n",
       "17  0.000000             0.000000         0.00             0.000000   \n",
       "18  0.000000             0.000000         0.00             0.000000   \n",
       "\n",
       "    Asian Restaurant  Athletics & Sports    Bakery      Bank  ...  Steakhouse  \\\n",
       "0           0.000000            0.000000  0.000000  0.095238  ...    0.000000   \n",
       "1           0.000000            0.000000  0.000000  0.250000  ...    0.000000   \n",
       "2           0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "3           0.000000            0.040000  0.000000  0.000000  ...    0.000000   \n",
       "4           0.000000            0.066667  0.000000  0.066667  ...    0.000000   \n",
       "5           0.014493            0.000000  0.028986  0.028986  ...    0.000000   \n",
       "6           0.000000            0.000000  0.166667  0.000000  ...    0.000000   \n",
       "7           0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "8           0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "9           0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "10          0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "11          0.000000            0.000000  0.333333  0.000000  ...    0.000000   \n",
       "12          0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "13          0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "14          0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "15          0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "16          0.000000            0.000000  0.000000  0.029412  ...    0.029412   \n",
       "17          0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "18          0.000000            0.000000  0.000000  0.000000  ...    0.000000   \n",
       "\n",
       "    Supermarket  Supplement Shop  Sushi Restaurant  Thai Restaurant   Theater  \\\n",
       "0      0.047619         0.000000          0.047619         0.000000  0.000000   \n",
       "1      0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "2      0.000000         0.000000          0.045455         0.045455  0.000000   \n",
       "3      0.040000         0.000000          0.000000         0.000000  0.000000   \n",
       "4      0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "5      0.000000         0.014493          0.000000         0.000000  0.014493   \n",
       "6      0.000000         0.000000          0.166667         0.000000  0.000000   \n",
       "7      0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "8      0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "9      0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "10     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "11     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "12     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "13     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "14     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "15     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "16     0.000000         0.000000          0.058824         0.000000  0.000000   \n",
       "17     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "18     0.000000         0.000000          0.000000         0.000000  0.000000   \n",
       "\n",
       "    Toy / Game Store  Video Game Store  Vietnamese Restaurant  Women's Store  \n",
       "0           0.000000          0.000000               0.000000       0.000000  \n",
       "1           0.000000          0.000000               0.000000       0.000000  \n",
       "2           0.000000          0.000000               0.000000       0.000000  \n",
       "3           0.000000          0.000000               0.000000       0.000000  \n",
       "4           0.000000          0.000000               0.000000       0.000000  \n",
       "5           0.014493          0.014493               0.000000       0.014493  \n",
       "6           0.000000          0.000000               0.000000       0.000000  \n",
       "7           0.000000          0.000000               0.000000       0.000000  \n",
       "8           0.000000          0.000000               0.000000       0.000000  \n",
       "9           0.000000          0.000000               0.000000       0.000000  \n",
       "10          0.000000          0.000000               0.090909       0.000000  \n",
       "11          0.000000          0.000000               0.000000       0.000000  \n",
       "12          0.000000          0.000000               0.000000       0.000000  \n",
       "13          0.000000          0.000000               0.000000       0.000000  \n",
       "14          0.000000          0.000000               0.000000       0.000000  \n",
       "15          0.000000          0.000000               0.000000       0.000000  \n",
       "16          0.000000          0.000000               0.029412       0.000000  \n",
       "17          0.000000          0.000000               0.000000       0.000000  \n",
       "18          0.000000          0.000000               0.000000       0.000000  \n",
       "\n",
       "[19 rows x 101 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "northyork_grouped = northyork_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "northyork_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19, 101)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "northyork_grouped.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Bathurst Manor, Wilson Heights, Downsview North----\n",
      "            venue  freq\n",
      "0            Bank  0.10\n",
      "1     Coffee Shop  0.10\n",
      "2     Gas Station  0.05\n",
      "3  Sandwich Place  0.05\n",
      "4       Gift Shop  0.05\n",
      "\n",
      "\n",
      "----Bayview Village----\n",
      "                 venue  freq\n",
      "0   Chinese Restaurant  0.25\n",
      "1                 Café  0.25\n",
      "2                 Bank  0.25\n",
      "3  Japanese Restaurant  0.25\n",
      "4       Lingerie Store  0.00\n",
      "\n",
      "\n",
      "----Bedford Park, Lawrence Manor East----\n",
      "                venue  freq\n",
      "0  Italian Restaurant  0.09\n",
      "1         Coffee Shop  0.09\n",
      "2      Sandwich Place  0.09\n",
      "3         Pizza Place  0.05\n",
      "4      Breakfast Spot  0.05\n",
      "\n",
      "\n",
      "----Don Mills----\n",
      "                 venue  freq\n",
      "0                  Gym  0.12\n",
      "1           Beer Store  0.08\n",
      "2  Japanese Restaurant  0.08\n",
      "3                 Café  0.08\n",
      "4           Restaurant  0.08\n",
      "\n",
      "\n",
      "----Downsview----\n",
      "            venue  freq\n",
      "0   Grocery Store  0.20\n",
      "1            Park  0.13\n",
      "2            Bank  0.07\n",
      "3        Bus Stop  0.07\n",
      "4  Discount Store  0.07\n",
      "\n",
      "\n",
      "----Fairview, Henry Farm, Oriole----\n",
      "                  venue  freq\n",
      "0        Clothing Store  0.13\n",
      "1           Coffee Shop  0.07\n",
      "2  Fast Food Restaurant  0.06\n",
      "3            Shoe Store  0.04\n",
      "4            Restaurant  0.04\n",
      "\n",
      "\n",
      "----Glencairn----\n",
      "                 venue  freq\n",
      "0          Pizza Place  0.33\n",
      "1  Japanese Restaurant  0.17\n",
      "2               Bakery  0.17\n",
      "3     Sushi Restaurant  0.17\n",
      "4                  Pub  0.17\n",
      "\n",
      "\n",
      "----Hillcrest Village----\n",
      "                      venue  freq\n",
      "0               Golf Course   0.2\n",
      "1  Mediterranean Restaurant   0.2\n",
      "2                      Pool   0.2\n",
      "3      Fast Food Restaurant   0.2\n",
      "4                   Dog Run   0.2\n",
      "\n",
      "\n",
      "----Humber Summit----\n",
      "                    venue  freq\n",
      "0  Furniture / Home Store  0.33\n",
      "1             Pizza Place  0.33\n",
      "2            Intersection  0.33\n",
      "3           Jewelry Store  0.00\n",
      "4      Miscellaneous Shop  0.00\n",
      "\n",
      "\n",
      "----Humberlea, Emery----\n",
      "                venue  freq\n",
      "0      Baseball Field   1.0\n",
      "1   Accessories Store   0.0\n",
      "2       Jewelry Store   0.0\n",
      "3   Mobile Phone Shop   0.0\n",
      "4  Miscellaneous Shop   0.0\n",
      "\n",
      "\n",
      "----Lawrence Manor, Lawrence Heights----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.27\n",
      "1    Accessories Store  0.09\n",
      "2  Sporting Goods Shop  0.09\n",
      "3         Carpet Store  0.09\n",
      "4          Event Space  0.09\n",
      "\n",
      "\n",
      "----North Park, Maple Leaf Park, Upwood Park----\n",
      "                        venue  freq\n",
      "0  Construction & Landscaping  0.33\n",
      "1                      Bakery  0.33\n",
      "2                        Park  0.33\n",
      "3           Accessories Store  0.00\n",
      "4                   Juice Bar  0.00\n",
      "\n",
      "\n",
      "----Northwood Park, York University----\n",
      "                    venue  freq\n",
      "0  Furniture / Home Store  0.25\n",
      "1             Coffee Shop  0.12\n",
      "2    Caribbean Restaurant  0.12\n",
      "3      Miscellaneous Shop  0.12\n",
      "4                     Bar  0.12\n",
      "\n",
      "\n",
      "----Parkwoods----\n",
      "                  venue  freq\n",
      "0                  Park  0.33\n",
      "1     Food & Drink Shop  0.33\n",
      "2  Fast Food Restaurant  0.33\n",
      "3         Jewelry Store  0.00\n",
      "4    Miscellaneous Shop  0.00\n",
      "\n",
      "\n",
      "----Victoria Village----\n",
      "                   venue  freq\n",
      "0            Coffee Shop  0.25\n",
      "1            Pizza Place  0.25\n",
      "2           Hockey Arena  0.25\n",
      "3  Portuguese Restaurant  0.25\n",
      "4      Accessories Store  0.00\n",
      "\n",
      "\n",
      "----Willowdale, Newtonbrook----\n",
      "                       venue  freq\n",
      "0                       Park   1.0\n",
      "1              Jewelry Store   0.0\n",
      "2          Mobile Phone Shop   0.0\n",
      "3         Miscellaneous Shop   0.0\n",
      "4  Middle Eastern Restaurant   0.0\n",
      "\n",
      "\n",
      "----Willowdale, Willowdale East----\n",
      "              venue  freq\n",
      "0  Ramen Restaurant  0.09\n",
      "1       Pizza Place  0.06\n",
      "2     Shopping Mall  0.06\n",
      "3       Coffee Shop  0.06\n",
      "4              Café  0.06\n",
      "\n",
      "\n",
      "----Willowdale, Willowdale West----\n",
      "               venue  freq\n",
      "0        Coffee Shop  0.25\n",
      "1      Grocery Store  0.25\n",
      "2           Pharmacy  0.25\n",
      "3        Pizza Place  0.25\n",
      "4  Accessories Store  0.00\n",
      "\n",
      "\n",
      "----York Mills West----\n",
      "                venue  freq\n",
      "0                Park  0.67\n",
      "1   Convenience Store  0.33\n",
      "2           Juice Bar  0.00\n",
      "3   Mobile Phone Shop  0.00\n",
      "4  Miscellaneous Shop  0.00\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in northyork_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = northyork_grouped[northyork_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>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",
       "      <td>0</td>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gift Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Downsview</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Neighborhood 1st Most Common Venue  \\\n",
       "0  Bathurst Manor, Wilson Heights, Downsview North                  Bank   \n",
       "1                                  Bayview Village   Japanese Restaurant   \n",
       "2                Bedford Park, Lawrence Manor East    Italian Restaurant   \n",
       "3                                        Don Mills                   Gym   \n",
       "4                                        Downsview         Grocery Store   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0           Coffee Shop                  Park              Pharmacy   \n",
       "1                  Café                  Bank    Chinese Restaurant   \n",
       "2           Coffee Shop        Sandwich Place                   Pub   \n",
       "3            Beer Store                  Café   Japanese Restaurant   \n",
       "4                  Park            Food Truck                  Bank   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0           Pizza Place           Bridal Shop         Deli / Bodega   \n",
       "1         Women's Store        Clothing Store           Coffee Shop   \n",
       "2            Restaurant             Juice Bar                  Café   \n",
       "3            Restaurant           Coffee Shop           Art Gallery   \n",
       "4          Liquor Store              Bus Stop                 Hotel   \n",
       "\n",
       "     8th Most Common Venue       9th Most Common Venue  \\\n",
       "0           Ice Cream Shop                  Restaurant   \n",
       "1  Comfort Food Restaurant  Construction & Landscaping   \n",
       "2                  Butcher           Indian Restaurant   \n",
       "3           Sandwich Place          Athletics & Sports   \n",
       "4           Baseball Field               Shopping Mall   \n",
       "\n",
       "    10th Most Common Venue  \n",
       "0                Gift Shop  \n",
       "1        Convenience Store  \n",
       "2  Comfort Food Restaurant  \n",
       "3       Dim Sum Restaurant  \n",
       "4           Discount Store  "
      ]
     },
     "execution_count": 47,
     "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'] = northyork_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(northyork_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(northyork_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 1, 1, 1, 1, 1, 4, 2])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "northyork_grouped_clustering = northyork_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(northyork_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Clustering</th>\n",
       "      <th>Clusters</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>ClusterLabels</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",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\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",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\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",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Carpet Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>43.709577</td>\n",
       "      <td>-79.445073</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code     Borough                     Neighbourhood   Latitude  \\\n",
       "0         M3A  North York                         Parkwoods  43.753259   \n",
       "1         M4A  North York                  Victoria Village  43.725882   \n",
       "2         M6A  North York  Lawrence Manor, Lawrence Heights  43.718518   \n",
       "3         M3B  North York                         Don Mills  43.745906   \n",
       "4         M6B  North York                         Glencairn  43.709577   \n",
       "\n",
       "   Longitude  Clustering  Clusters  Cluster  ClusterLabels  Cluster Labels  \\\n",
       "0 -79.329656         0.0       0.0      0.0            0.0             0.0   \n",
       "1 -79.315572         1.0       1.0      1.0            1.0             1.0   \n",
       "2 -79.464763         1.0       1.0      1.0            1.0             1.0   \n",
       "3 -79.352188         1.0       1.0      1.0            1.0             1.0   \n",
       "4 -79.445073         1.0       1.0      1.0            1.0             1.0   \n",
       "\n",
       "  1st Most Common Venue   2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0                  Park       Food & Drink Shop  Fast Food Restaurant   \n",
       "1           Coffee Shop             Pizza Place          Hockey Arena   \n",
       "2        Clothing Store  Furniture / Home Store   Sporting Goods Shop   \n",
       "3                   Gym              Beer Store                  Café   \n",
       "4           Pizza Place        Sushi Restaurant                Bakery   \n",
       "\n",
       "   4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n",
       "0       Department Store    Chinese Restaurant        Chocolate Shop   \n",
       "1  Portuguese Restaurant         Women's Store      Department Store   \n",
       "2               Boutique          Carpet Store           Coffee Shop   \n",
       "3    Japanese Restaurant            Restaurant           Coffee Shop   \n",
       "4    Japanese Restaurant                   Pub         Women's Store   \n",
       "\n",
       "  7th Most Common Venue  8th Most Common Venue    9th Most Common Venue  \\\n",
       "0        Clothing Store            Coffee Shop  Comfort Food Restaurant   \n",
       "1        Chocolate Shop         Clothing Store  Comfort Food Restaurant   \n",
       "2           Event Space  Vietnamese Restaurant        Accessories Store   \n",
       "3           Art Gallery         Sandwich Place       Athletics & Sports   \n",
       "4      Department Store         Chocolate Shop           Clothing Store   \n",
       "\n",
       "       10th Most Common Venue  \n",
       "0  Construction & Landscaping  \n",
       "1  Construction & Landscaping  \n",
       "2                  Steakhouse  \n",
       "3          Dim Sum Restaurant  \n",
       "4                 Coffee Shop  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Clustering', kmeans.labels_)\n",
    "\n",
    "northyork_merged = northyork_data\n",
    "\n",
    "# merge manhattan_grouped with manhattan_data to add latitude/longitude for each neighborhood\n",
    "northyork_merged = northyork_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighbourhood')\n",
    "\n",
    "northyork_merged.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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",
       "      <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",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\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",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\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",
       "      <td>1.0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Carpet Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>43.709577</td>\n",
       "      <td>-79.445073</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M3C</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>43.725900</td>\n",
       "      <td>-79.340923</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "      <td>43.803762</td>\n",
       "      <td>-79.363452</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M3H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>43.754328</td>\n",
       "      <td>-79.442259</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gift Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>43.778517</td>\n",
       "      <td>-79.346556</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M3J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Northwood Park, York University</td>\n",
       "      <td>43.767980</td>\n",
       "      <td>-79.487262</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>43.786947</td>\n",
       "      <td>-79.385975</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>M3K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "      <td>43.737473</td>\n",
       "      <td>-79.464763</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>M3L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "      <td>43.739015</td>\n",
       "      <td>-79.506944</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>M6L</td>\n",
       "      <td>North York</td>\n",
       "      <td>North Park, Maple Leaf Park, Upwood Park</td>\n",
       "      <td>43.713756</td>\n",
       "      <td>-79.490074</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>M9L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humber Summit</td>\n",
       "      <td>43.756303</td>\n",
       "      <td>-79.565963</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>M2M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Newtonbrook</td>\n",
       "      <td>43.789053</td>\n",
       "      <td>-79.408493</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>M3M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "      <td>43.728496</td>\n",
       "      <td>-79.495697</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>M5M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>43.733283</td>\n",
       "      <td>-79.419750</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>M9M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humberlea, Emery</td>\n",
       "      <td>43.724766</td>\n",
       "      <td>-79.532242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>M2N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Willowdale East</td>\n",
       "      <td>43.770120</td>\n",
       "      <td>-79.408493</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>M3N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "      <td>43.761631</td>\n",
       "      <td>-79.520999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "      <td>43.752758</td>\n",
       "      <td>-79.400049</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale, Willowdale West</td>\n",
       "      <td>43.782736</td>\n",
       "      <td>-79.442259</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</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          M6A  North York                 Lawrence Manor, Lawrence Heights   \n",
       "3          M3B  North York                                        Don Mills   \n",
       "4          M6B  North York                                        Glencairn   \n",
       "5          M3C  North York                                        Don Mills   \n",
       "6          M2H  North York                                Hillcrest Village   \n",
       "7          M3H  North York  Bathurst Manor, Wilson Heights, Downsview North   \n",
       "8          M2J  North York                     Fairview, Henry Farm, Oriole   \n",
       "9          M3J  North York                  Northwood Park, York University   \n",
       "10         M2K  North York                                  Bayview Village   \n",
       "11         M3K  North York                                        Downsview   \n",
       "13         M3L  North York                                        Downsview   \n",
       "14         M6L  North York         North Park, Maple Leaf Park, Upwood Park   \n",
       "15         M9L  North York                                    Humber Summit   \n",
       "16         M2M  North York                          Willowdale, Newtonbrook   \n",
       "17         M3M  North York                                        Downsview   \n",
       "18         M5M  North York                Bedford Park, Lawrence Manor East   \n",
       "19         M9M  North York                                 Humberlea, Emery   \n",
       "20         M2N  North York                      Willowdale, Willowdale East   \n",
       "21         M3N  North York                                        Downsview   \n",
       "22         M2P  North York                                  York Mills West   \n",
       "23         M2R  North York                      Willowdale, Willowdale West   \n",
       "\n",
       "     Latitude  Longitude  Cluster Labels   1st Most Common Venue  \\\n",
       "0   43.753259 -79.329656             0.0                    Park   \n",
       "1   43.725882 -79.315572             1.0             Coffee Shop   \n",
       "2   43.718518 -79.464763             1.0          Clothing Store   \n",
       "3   43.745906 -79.352188             1.0                     Gym   \n",
       "4   43.709577 -79.445073             1.0             Pizza Place   \n",
       "5   43.725900 -79.340923             1.0                     Gym   \n",
       "6   43.803762 -79.363452             1.0    Fast Food Restaurant   \n",
       "7   43.754328 -79.442259             1.0                    Bank   \n",
       "8   43.778517 -79.346556             1.0          Clothing Store   \n",
       "9   43.767980 -79.487262             1.0  Furniture / Home Store   \n",
       "10  43.786947 -79.385975             1.0     Japanese Restaurant   \n",
       "11  43.737473 -79.464763             1.0           Grocery Store   \n",
       "13  43.739015 -79.506944             1.0           Grocery Store   \n",
       "14  43.713756 -79.490074             1.0                    Park   \n",
       "15  43.756303 -79.565963             4.0  Furniture / Home Store   \n",
       "16  43.789053 -79.408493             3.0                    Park   \n",
       "17  43.728496 -79.495697             1.0           Grocery Store   \n",
       "18  43.733283 -79.419750             1.0      Italian Restaurant   \n",
       "19  43.724766 -79.532242             2.0          Baseball Field   \n",
       "20  43.770120 -79.408493             1.0        Ramen Restaurant   \n",
       "21  43.761631 -79.520999             1.0           Grocery Store   \n",
       "22  43.752758 -79.400049             3.0                    Park   \n",
       "23  43.782736 -79.442259             1.0                Pharmacy   \n",
       "\n",
       "         2nd Most Common Venue     3rd Most Common Venue  \\\n",
       "0            Food & Drink Shop      Fast Food Restaurant   \n",
       "1                  Pizza Place              Hockey Arena   \n",
       "2       Furniture / Home Store       Sporting Goods Shop   \n",
       "3                   Beer Store                      Café   \n",
       "4             Sushi Restaurant                    Bakery   \n",
       "5                   Beer Store                      Café   \n",
       "6                  Golf Course  Mediterranean Restaurant   \n",
       "7                  Coffee Shop                      Park   \n",
       "8                  Coffee Shop      Fast Food Restaurant   \n",
       "9         Caribbean Restaurant            Massage Studio   \n",
       "10                        Café                      Bank   \n",
       "11                        Park                Food Truck   \n",
       "13                        Park                Food Truck   \n",
       "14  Construction & Landscaping                    Bakery   \n",
       "15                 Pizza Place              Intersection   \n",
       "16                Dessert Shop        Chinese Restaurant   \n",
       "17                        Park                Food Truck   \n",
       "18                 Coffee Shop            Sandwich Place   \n",
       "19               Women's Store                     Diner   \n",
       "20                 Coffee Shop                      Café   \n",
       "21                        Park                Food Truck   \n",
       "22           Convenience Store              Dessert Shop   \n",
       "23                 Pizza Place             Grocery Store   \n",
       "\n",
       "    4th Most Common Venue 5th Most Common Venue    6th Most Common Venue  \\\n",
       "0        Department Store    Chinese Restaurant           Chocolate Shop   \n",
       "1   Portuguese Restaurant         Women's Store         Department Store   \n",
       "2                Boutique          Carpet Store              Coffee Shop   \n",
       "3     Japanese Restaurant            Restaurant              Coffee Shop   \n",
       "4     Japanese Restaurant                   Pub            Women's Store   \n",
       "5     Japanese Restaurant            Restaurant              Coffee Shop   \n",
       "6                 Dog Run                  Pool            Women's Store   \n",
       "7                Pharmacy           Pizza Place              Bridal Shop   \n",
       "8     Japanese Restaurant            Shoe Store               Restaurant   \n",
       "9      Falafel Restaurant           Coffee Shop                      Bar   \n",
       "10     Chinese Restaurant         Women's Store           Clothing Store   \n",
       "11                   Bank          Liquor Store                 Bus Stop   \n",
       "13                   Bank          Liquor Store                 Bus Stop   \n",
       "14          Women's Store          Dessert Shop           Chocolate Shop   \n",
       "15           Dessert Shop        Chocolate Shop           Clothing Store   \n",
       "16         Chocolate Shop        Clothing Store              Coffee Shop   \n",
       "17                   Bank          Liquor Store                 Bus Stop   \n",
       "18                    Pub            Restaurant                Juice Bar   \n",
       "19         Clothing Store           Coffee Shop  Comfort Food Restaurant   \n",
       "20       Sushi Restaurant           Pizza Place            Shopping Mall   \n",
       "21                   Bank          Liquor Store                 Bus Stop   \n",
       "22     Chinese Restaurant        Chocolate Shop           Clothing Store   \n",
       "23            Coffee Shop         Women's Store         Department Store   \n",
       "\n",
       "         7th Most Common Venue       8th Most Common Venue  \\\n",
       "0               Clothing Store                 Coffee Shop   \n",
       "1               Chocolate Shop              Clothing Store   \n",
       "2                  Event Space       Vietnamese Restaurant   \n",
       "3                  Art Gallery              Sandwich Place   \n",
       "4             Department Store              Chocolate Shop   \n",
       "5                  Art Gallery              Sandwich Place   \n",
       "6                Deli / Bodega              Chocolate Shop   \n",
       "7                Deli / Bodega              Ice Cream Shop   \n",
       "8                    Juice Bar                        Bank   \n",
       "9           Miscellaneous Shop            Department Store   \n",
       "10                 Coffee Shop     Comfort Food Restaurant   \n",
       "11                       Hotel              Baseball Field   \n",
       "13                       Hotel              Baseball Field   \n",
       "14              Clothing Store                 Coffee Shop   \n",
       "15                 Coffee Shop     Comfort Food Restaurant   \n",
       "16     Comfort Food Restaurant  Construction & Landscaping   \n",
       "17                       Hotel              Baseball Field   \n",
       "18                        Café                     Butcher   \n",
       "19  Construction & Landscaping           Convenience Store   \n",
       "20              Sandwich Place              Discount Store   \n",
       "21                       Hotel              Baseball Field   \n",
       "22                 Coffee Shop     Comfort Food Restaurant   \n",
       "23              Chocolate Shop              Clothing Store   \n",
       "\n",
       "         9th Most Common Venue      10th Most Common Venue  \n",
       "0      Comfort Food Restaurant  Construction & Landscaping  \n",
       "1      Comfort Food Restaurant  Construction & Landscaping  \n",
       "2            Accessories Store                  Steakhouse  \n",
       "3           Athletics & Sports          Dim Sum Restaurant  \n",
       "4               Clothing Store                 Coffee Shop  \n",
       "5           Athletics & Sports          Dim Sum Restaurant  \n",
       "6               Clothing Store                 Coffee Shop  \n",
       "7                   Restaurant                   Gift Shop  \n",
       "8                       Bakery               Women's Store  \n",
       "9               Clothing Store     Comfort Food Restaurant  \n",
       "10  Construction & Landscaping           Convenience Store  \n",
       "11               Shopping Mall              Discount Store  \n",
       "13               Shopping Mall              Discount Store  \n",
       "14     Comfort Food Restaurant           Convenience Store  \n",
       "15  Construction & Landscaping           Convenience Store  \n",
       "16           Convenience Store              Cosmetics Shop  \n",
       "17               Shopping Mall              Discount Store  \n",
       "18           Indian Restaurant     Comfort Food Restaurant  \n",
       "19              Cosmetics Shop               Deli / Bodega  \n",
       "20                  Restaurant               Movie Theater  \n",
       "21               Shopping Mall              Discount Store  \n",
       "22  Construction & Landscaping              Cosmetics Shop  \n",
       "23     Comfort Food Restaurant  Construction & Landscaping  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#northyork_merged.drop(['ClusterLabels','Cluster','Clusters','Clustering'], axis = 1, inplace=True)\n",
    "northyork_merged = northyork_merged.dropna()\n",
    "northyork_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
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        var popup_86f829d02468436fb9f8cff89aaf0adc = L.popup({"maxWidth": "100%"});

        
            var html_85521c66430e4328af70449822713d00 = $(`<div id="html_85521c66430e4328af70449822713d00" style="width: 100.0%; height: 100.0%;">Parkwoods Cluster 0.0</div>`)[0];
            popup_86f829d02468436fb9f8cff89aaf0adc.setContent(html_85521c66430e4328af70449822713d00);
        

        circle_marker_18da448ad9304eaba1bdac19f784219b.bindPopup(popup_86f829d02468436fb9f8cff89aaf0adc)
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            var circle_marker_1a7dc33971604893bc52b7736a92bfa8 = L.circleMarker(
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        var popup_8101b042cdda45d3a85ef019bbf6f709 = L.popup({"maxWidth": "100%"});

        
            var html_5cd3453156314203a95fb787bcd52e02 = $(`<div id="html_5cd3453156314203a95fb787bcd52e02" style="width: 100.0%; height: 100.0%;">Victoria Village Cluster 1.0</div>`)[0];
            popup_8101b042cdda45d3a85ef019bbf6f709.setContent(html_5cd3453156314203a95fb787bcd52e02);
        

        circle_marker_1a7dc33971604893bc52b7736a92bfa8.bindPopup(popup_8101b042cdda45d3a85ef019bbf6f709)
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            var circle_marker_36f8a53d2fd84bf89c52119c5878337d = L.circleMarker(
                [43.718517999999996, -79.46476329999999],
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        var popup_4bbd6a19a21e4677bfa563727b46267b = L.popup({"maxWidth": "100%"});

        
            var html_a6d704167be44ffea83b5bb179d08a2b = $(`<div id="html_a6d704167be44ffea83b5bb179d08a2b" style="width: 100.0%; height: 100.0%;">Lawrence Manor, Lawrence Heights Cluster 1.0</div>`)[0];
            popup_4bbd6a19a21e4677bfa563727b46267b.setContent(html_a6d704167be44ffea83b5bb179d08a2b);
        

        circle_marker_36f8a53d2fd84bf89c52119c5878337d.bindPopup(popup_4bbd6a19a21e4677bfa563727b46267b)
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            var circle_marker_45a505e2ca0b4e8ba1b7b8dc01f7521e = L.circleMarker(
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        var popup_3e8f3e0c0d1040b5b0abf3e7b9cbff66 = L.popup({"maxWidth": "100%"});

        
            var html_edf308923b17460c8c9d3ca634499760 = $(`<div id="html_edf308923b17460c8c9d3ca634499760" style="width: 100.0%; height: 100.0%;">Don Mills Cluster 1.0</div>`)[0];
            popup_3e8f3e0c0d1040b5b0abf3e7b9cbff66.setContent(html_edf308923b17460c8c9d3ca634499760);
        

        circle_marker_45a505e2ca0b4e8ba1b7b8dc01f7521e.bindPopup(popup_3e8f3e0c0d1040b5b0abf3e7b9cbff66)
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            var circle_marker_d7f40cd77d6b44a8807b39932462b593 = L.circleMarker(
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        var popup_1f19a4a553fc4546a3fcb68a6e344141 = L.popup({"maxWidth": "100%"});

        
            var html_c9399ff285714326871316ca6b54355f = $(`<div id="html_c9399ff285714326871316ca6b54355f" style="width: 100.0%; height: 100.0%;">Glencairn Cluster 1.0</div>`)[0];
            popup_1f19a4a553fc4546a3fcb68a6e344141.setContent(html_c9399ff285714326871316ca6b54355f);
        

        circle_marker_d7f40cd77d6b44a8807b39932462b593.bindPopup(popup_1f19a4a553fc4546a3fcb68a6e344141)
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            var circle_marker_e5b2925e5f664600ae2dd00bdb3409c7 = L.circleMarker(
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        var popup_8e67b96abd104167a5406af7551f977f = L.popup({"maxWidth": "100%"});

        
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            popup_8e67b96abd104167a5406af7551f977f.setContent(html_56c4043da654449cba91ede3f662cf11);
        

        circle_marker_e5b2925e5f664600ae2dd00bdb3409c7.bindPopup(popup_8e67b96abd104167a5406af7551f977f)
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            var circle_marker_e8fb27429bfb4ab298b88b04c4969dd3 = L.circleMarker(
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        var popup_37c7ac78ade74ff690eca84e59eab8eb = L.popup({"maxWidth": "100%"});

        
            var html_c42453c923934b40a766f71ff1a088c9 = $(`<div id="html_c42453c923934b40a766f71ff1a088c9" style="width: 100.0%; height: 100.0%;">Hillcrest Village Cluster 1.0</div>`)[0];
            popup_37c7ac78ade74ff690eca84e59eab8eb.setContent(html_c42453c923934b40a766f71ff1a088c9);
        

        circle_marker_e8fb27429bfb4ab298b88b04c4969dd3.bindPopup(popup_37c7ac78ade74ff690eca84e59eab8eb)
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            var circle_marker_b454c7ae3b2f41e787e1cc256bdfea96 = L.circleMarker(
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            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_7fb1fd9f7eb34dcfab82b9c8460ecada = L.popup({"maxWidth": "100%"});

        
            var html_f805f59cbf13427b8efda52f3e0b0014 = $(`<div id="html_f805f59cbf13427b8efda52f3e0b0014" style="width: 100.0%; height: 100.0%;">Bathurst Manor, Wilson Heights, Downsview North Cluster 1.0</div>`)[0];
            popup_7fb1fd9f7eb34dcfab82b9c8460ecada.setContent(html_f805f59cbf13427b8efda52f3e0b0014);
        

        circle_marker_b454c7ae3b2f41e787e1cc256bdfea96.bindPopup(popup_7fb1fd9f7eb34dcfab82b9c8460ecada)
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            var circle_marker_be7cf17616794ae4b74e7a169dc66098 = L.circleMarker(
                [43.7785175, -79.3465557],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_4da043ab37994562ad2a3e3d74c5e392 = L.popup({"maxWidth": "100%"});

        
            var html_ba07a8a19f4d44cab7b9c98a662c5d56 = $(`<div id="html_ba07a8a19f4d44cab7b9c98a662c5d56" style="width: 100.0%; height: 100.0%;">Fairview, Henry Farm, Oriole Cluster 1.0</div>`)[0];
            popup_4da043ab37994562ad2a3e3d74c5e392.setContent(html_ba07a8a19f4d44cab7b9c98a662c5d56);
        

        circle_marker_be7cf17616794ae4b74e7a169dc66098.bindPopup(popup_4da043ab37994562ad2a3e3d74c5e392)
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            var circle_marker_29fea0f1cedb44039ebfe9ffee9c2021 = L.circleMarker(
                [43.7679803, -79.48726190000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_8e25197d26114c369cd8dda8c9f9aa6b = L.popup({"maxWidth": "100%"});

        
            var html_32ba7a788ddc441580a3e2536e365119 = $(`<div id="html_32ba7a788ddc441580a3e2536e365119" style="width: 100.0%; height: 100.0%;">Northwood Park, York University Cluster 1.0</div>`)[0];
            popup_8e25197d26114c369cd8dda8c9f9aa6b.setContent(html_32ba7a788ddc441580a3e2536e365119);
        

        circle_marker_29fea0f1cedb44039ebfe9ffee9c2021.bindPopup(popup_8e25197d26114c369cd8dda8c9f9aa6b)
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            var circle_marker_cabd2cc5f08d49c1b74157d8bd45fef9 = L.circleMarker(
                [43.7869473, -79.385975],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_ffb800a9fd9849878fb69208565ca3c2 = L.popup({"maxWidth": "100%"});

        
            var html_81289a037b4a4c32a3a72e486adce66b = $(`<div id="html_81289a037b4a4c32a3a72e486adce66b" style="width: 100.0%; height: 100.0%;">Bayview Village Cluster 1.0</div>`)[0];
            popup_ffb800a9fd9849878fb69208565ca3c2.setContent(html_81289a037b4a4c32a3a72e486adce66b);
        

        circle_marker_cabd2cc5f08d49c1b74157d8bd45fef9.bindPopup(popup_ffb800a9fd9849878fb69208565ca3c2)
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            var circle_marker_8a81979830c74bc5a6f7a28d7a8e281c = L.circleMarker(
                [43.737473200000004, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_634aa9a6a3624c7bb46b0b81575e6b01 = L.popup({"maxWidth": "100%"});

        
            var html_e7949efde40d499cb496f4247dd9a56c = $(`<div id="html_e7949efde40d499cb496f4247dd9a56c" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_634aa9a6a3624c7bb46b0b81575e6b01.setContent(html_e7949efde40d499cb496f4247dd9a56c);
        

        circle_marker_8a81979830c74bc5a6f7a28d7a8e281c.bindPopup(popup_634aa9a6a3624c7bb46b0b81575e6b01)
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            var circle_marker_30954fc9411a464b99ef3e90e1b86383 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_c0c688ba1c0d4cc0b0d0dee6a5ac00aa = L.popup({"maxWidth": "100%"});

        
            var html_9b462f21540a458ea856be53f096d77b = $(`<div id="html_9b462f21540a458ea856be53f096d77b" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_c0c688ba1c0d4cc0b0d0dee6a5ac00aa.setContent(html_9b462f21540a458ea856be53f096d77b);
        

        circle_marker_30954fc9411a464b99ef3e90e1b86383.bindPopup(popup_c0c688ba1c0d4cc0b0d0dee6a5ac00aa)
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            var circle_marker_7cc2797258e84b07b59f6745ff26ac5f = 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_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_14f9e854c4ab48198709c5ea6a0d3d69 = L.popup({"maxWidth": "100%"});

        
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            popup_14f9e854c4ab48198709c5ea6a0d3d69.setContent(html_415291d780024665b99a369410eedaef);
        

        circle_marker_7cc2797258e84b07b59f6745ff26ac5f.bindPopup(popup_14f9e854c4ab48198709c5ea6a0d3d69)
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            var circle_marker_0e9def00451a43f8848782d3b29e539e = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_834bef8f80db40eba4de715031711741 = L.popup({"maxWidth": "100%"});

        
            var html_da41e879607b4467b72ab443af364ec9 = $(`<div id="html_da41e879607b4467b72ab443af364ec9" style="width: 100.0%; height: 100.0%;">Humber Summit Cluster 4.0</div>`)[0];
            popup_834bef8f80db40eba4de715031711741.setContent(html_da41e879607b4467b72ab443af364ec9);
        

        circle_marker_0e9def00451a43f8848782d3b29e539e.bindPopup(popup_834bef8f80db40eba4de715031711741)
        ;

        
    
    
            var circle_marker_aff7f96c50d64c5e800997e08625a2d0 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_c7c68fe524e849acae14888800dc2506 = L.popup({"maxWidth": "100%"});

        
            var html_d0fe418df7dc454a99391299b7509365 = $(`<div id="html_d0fe418df7dc454a99391299b7509365" style="width: 100.0%; height: 100.0%;">Willowdale, Newtonbrook Cluster 3.0</div>`)[0];
            popup_c7c68fe524e849acae14888800dc2506.setContent(html_d0fe418df7dc454a99391299b7509365);
        

        circle_marker_aff7f96c50d64c5e800997e08625a2d0.bindPopup(popup_c7c68fe524e849acae14888800dc2506)
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            var circle_marker_3117992c47904780a46e69c16ec3aeff = L.circleMarker(
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            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_a202c75b8fc94ab9b175ba6cc44dc68f = L.popup({"maxWidth": "100%"});

        
            var html_b5aed55be8b144c2baf32e788785cd74 = $(`<div id="html_b5aed55be8b144c2baf32e788785cd74" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_a202c75b8fc94ab9b175ba6cc44dc68f.setContent(html_b5aed55be8b144c2baf32e788785cd74);
        

        circle_marker_3117992c47904780a46e69c16ec3aeff.bindPopup(popup_a202c75b8fc94ab9b175ba6cc44dc68f)
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            var circle_marker_4ce97bd3fcdf46be88df05968474837d = 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_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_588fe93c08bd482ba3b82c8525270115 = L.popup({"maxWidth": "100%"});

        
            var html_0dc9604a094146c5ba682c40ab4b8f73 = $(`<div id="html_0dc9604a094146c5ba682c40ab4b8f73" style="width: 100.0%; height: 100.0%;">Bedford Park, Lawrence Manor East Cluster 1.0</div>`)[0];
            popup_588fe93c08bd482ba3b82c8525270115.setContent(html_0dc9604a094146c5ba682c40ab4b8f73);
        

        circle_marker_4ce97bd3fcdf46be88df05968474837d.bindPopup(popup_588fe93c08bd482ba3b82c8525270115)
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            var circle_marker_f63ccbfb329c48e28f6b6da1f7d276b0 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_bf15cb686b8e4914962028fca9d09975 = L.popup({"maxWidth": "100%"});

        
            var html_7b18bf4f13de482e989dd1aca3a05a26 = $(`<div id="html_7b18bf4f13de482e989dd1aca3a05a26" style="width: 100.0%; height: 100.0%;">Humberlea, Emery Cluster 2.0</div>`)[0];
            popup_bf15cb686b8e4914962028fca9d09975.setContent(html_7b18bf4f13de482e989dd1aca3a05a26);
        

        circle_marker_f63ccbfb329c48e28f6b6da1f7d276b0.bindPopup(popup_bf15cb686b8e4914962028fca9d09975)
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            var circle_marker_75c5d597efd0400689b9181df500a044 = 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_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_4a35cf14bb014f559f1bb73b92ca27e1 = L.popup({"maxWidth": "100%"});

        
            var html_3f1f7e2303f34492b6cdabe19eec0509 = $(`<div id="html_3f1f7e2303f34492b6cdabe19eec0509" style="width: 100.0%; height: 100.0%;">Willowdale, Willowdale East Cluster 1.0</div>`)[0];
            popup_4a35cf14bb014f559f1bb73b92ca27e1.setContent(html_3f1f7e2303f34492b6cdabe19eec0509);
        

        circle_marker_75c5d597efd0400689b9181df500a044.bindPopup(popup_4a35cf14bb014f559f1bb73b92ca27e1)
        ;

        
    
    
            var circle_marker_04cc522c815242e6ad141a187de5f760 = L.circleMarker(
                [43.7616313, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_2f4dbe55dbed44088cdf827a36a1dde0 = L.popup({"maxWidth": "100%"});

        
            var html_c944c263ff684f28adb4980b59cde9a3 = $(`<div id="html_c944c263ff684f28adb4980b59cde9a3" style="width: 100.0%; height: 100.0%;">Downsview Cluster 1.0</div>`)[0];
            popup_2f4dbe55dbed44088cdf827a36a1dde0.setContent(html_c944c263ff684f28adb4980b59cde9a3);
        

        circle_marker_04cc522c815242e6ad141a187de5f760.bindPopup(popup_2f4dbe55dbed44088cdf827a36a1dde0)
        ;

        
    
    
            var circle_marker_e677e1b2ace44b4aa64be2d151ad27f7 = L.circleMarker(
                [43.752758299999996, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_a1e576e55c954f74b8987d379bfb8187 = L.popup({"maxWidth": "100%"});

        
            var html_dd7d76482d4f446f8cda2ca58e72ef5b = $(`<div id="html_dd7d76482d4f446f8cda2ca58e72ef5b" style="width: 100.0%; height: 100.0%;">York Mills West Cluster 3.0</div>`)[0];
            popup_a1e576e55c954f74b8987d379bfb8187.setContent(html_dd7d76482d4f446f8cda2ca58e72ef5b);
        

        circle_marker_e677e1b2ace44b4aa64be2d151ad27f7.bindPopup(popup_a1e576e55c954f74b8987d379bfb8187)
        ;

        
    
    
            var circle_marker_665914075360465bacae8bb41f069dc2 = L.circleMarker(
                [43.7827364, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_5342913cb6e84b418790ce72e8158c80);
        
    
        var popup_8c040749ff7448318dfff42644aeee93 = L.popup({"maxWidth": "100%"});

        
            var html_642ac22c18274eeb93f2ff63bbe6c7c6 = $(`<div id="html_642ac22c18274eeb93f2ff63bbe6c7c6" style="width: 100.0%; height: 100.0%;">Willowdale, Willowdale West Cluster 1.0</div>`)[0];
            popup_8c040749ff7448318dfff42644aeee93.setContent(html_642ac22c18274eeb93f2ff63bbe6c7c6);
        

        circle_marker_665914075360465bacae8bb41f069dc2.bindPopup(popup_8c040749ff7448318dfff42644aeee93)
        ;

        
    
</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 0x1a5672b7ec8>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\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(northyork_merged['Latitude'], northyork_merged['Longitude'], northyork_merged['Neighbourhood'], northyork_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[int(cluster-1)],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[int(cluster-1)],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>North York</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0  North York             0.0                  Park     Food & Drink Shop   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0  Fast Food Restaurant      Department Store    Chinese Restaurant   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0        Chocolate Shop        Clothing Store           Coffee Shop   \n",
       "\n",
       "     9th Most Common Venue      10th Most Common Venue  \n",
       "0  Comfort Food Restaurant  Construction & Landscaping  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "northyork_merged.loc[northyork_merged['Cluster Labels'] == 0, northyork_merged.columns[[1] + list(range(5, northyork_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Carpet Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gift Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Borough  Cluster Labels   1st Most Common Venue  \\\n",
       "1   North York             1.0             Coffee Shop   \n",
       "2   North York             1.0          Clothing Store   \n",
       "3   North York             1.0                     Gym   \n",
       "4   North York             1.0             Pizza Place   \n",
       "5   North York             1.0                     Gym   \n",
       "6   North York             1.0    Fast Food Restaurant   \n",
       "7   North York             1.0                    Bank   \n",
       "8   North York             1.0          Clothing Store   \n",
       "9   North York             1.0  Furniture / Home Store   \n",
       "10  North York             1.0     Japanese Restaurant   \n",
       "11  North York             1.0           Grocery Store   \n",
       "13  North York             1.0           Grocery Store   \n",
       "14  North York             1.0                    Park   \n",
       "17  North York             1.0           Grocery Store   \n",
       "18  North York             1.0      Italian Restaurant   \n",
       "20  North York             1.0        Ramen Restaurant   \n",
       "21  North York             1.0           Grocery Store   \n",
       "23  North York             1.0                Pharmacy   \n",
       "\n",
       "         2nd Most Common Venue     3rd Most Common Venue  \\\n",
       "1                  Pizza Place              Hockey Arena   \n",
       "2       Furniture / Home Store       Sporting Goods Shop   \n",
       "3                   Beer Store                      Café   \n",
       "4             Sushi Restaurant                    Bakery   \n",
       "5                   Beer Store                      Café   \n",
       "6                  Golf Course  Mediterranean Restaurant   \n",
       "7                  Coffee Shop                      Park   \n",
       "8                  Coffee Shop      Fast Food Restaurant   \n",
       "9         Caribbean Restaurant            Massage Studio   \n",
       "10                        Café                      Bank   \n",
       "11                        Park                Food Truck   \n",
       "13                        Park                Food Truck   \n",
       "14  Construction & Landscaping                    Bakery   \n",
       "17                        Park                Food Truck   \n",
       "18                 Coffee Shop            Sandwich Place   \n",
       "20                 Coffee Shop                      Café   \n",
       "21                        Park                Food Truck   \n",
       "23                 Pizza Place             Grocery Store   \n",
       "\n",
       "    4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n",
       "1   Portuguese Restaurant         Women's Store      Department Store   \n",
       "2                Boutique          Carpet Store           Coffee Shop   \n",
       "3     Japanese Restaurant            Restaurant           Coffee Shop   \n",
       "4     Japanese Restaurant                   Pub         Women's Store   \n",
       "5     Japanese Restaurant            Restaurant           Coffee Shop   \n",
       "6                 Dog Run                  Pool         Women's Store   \n",
       "7                Pharmacy           Pizza Place           Bridal Shop   \n",
       "8     Japanese Restaurant            Shoe Store            Restaurant   \n",
       "9      Falafel Restaurant           Coffee Shop                   Bar   \n",
       "10     Chinese Restaurant         Women's Store        Clothing Store   \n",
       "11                   Bank          Liquor Store              Bus Stop   \n",
       "13                   Bank          Liquor Store              Bus Stop   \n",
       "14          Women's Store          Dessert Shop        Chocolate Shop   \n",
       "17                   Bank          Liquor Store              Bus Stop   \n",
       "18                    Pub            Restaurant             Juice Bar   \n",
       "20       Sushi Restaurant           Pizza Place         Shopping Mall   \n",
       "21                   Bank          Liquor Store              Bus Stop   \n",
       "23            Coffee Shop         Women's Store      Department Store   \n",
       "\n",
       "   7th Most Common Venue    8th Most Common Venue       9th Most Common Venue  \\\n",
       "1         Chocolate Shop           Clothing Store     Comfort Food Restaurant   \n",
       "2            Event Space    Vietnamese Restaurant           Accessories Store   \n",
       "3            Art Gallery           Sandwich Place          Athletics & Sports   \n",
       "4       Department Store           Chocolate Shop              Clothing Store   \n",
       "5            Art Gallery           Sandwich Place          Athletics & Sports   \n",
       "6          Deli / Bodega           Chocolate Shop              Clothing Store   \n",
       "7          Deli / Bodega           Ice Cream Shop                  Restaurant   \n",
       "8              Juice Bar                     Bank                      Bakery   \n",
       "9     Miscellaneous Shop         Department Store              Clothing Store   \n",
       "10           Coffee Shop  Comfort Food Restaurant  Construction & Landscaping   \n",
       "11                 Hotel           Baseball Field               Shopping Mall   \n",
       "13                 Hotel           Baseball Field               Shopping Mall   \n",
       "14        Clothing Store              Coffee Shop     Comfort Food Restaurant   \n",
       "17                 Hotel           Baseball Field               Shopping Mall   \n",
       "18                  Café                  Butcher           Indian Restaurant   \n",
       "20        Sandwich Place           Discount Store                  Restaurant   \n",
       "21                 Hotel           Baseball Field               Shopping Mall   \n",
       "23        Chocolate Shop           Clothing Store     Comfort Food Restaurant   \n",
       "\n",
       "        10th Most Common Venue  \n",
       "1   Construction & Landscaping  \n",
       "2                   Steakhouse  \n",
       "3           Dim Sum Restaurant  \n",
       "4                  Coffee Shop  \n",
       "5           Dim Sum Restaurant  \n",
       "6                  Coffee Shop  \n",
       "7                    Gift Shop  \n",
       "8                Women's Store  \n",
       "9      Comfort Food Restaurant  \n",
       "10           Convenience Store  \n",
       "11              Discount Store  \n",
       "13              Discount Store  \n",
       "14           Convenience Store  \n",
       "17              Discount Store  \n",
       "18     Comfort Food Restaurant  \n",
       "20               Movie Theater  \n",
       "21              Discount Store  \n",
       "23  Construction & Landscaping  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
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    "northyork_merged.loc[northyork_merged['Cluster Labels'] == 1, northyork_merged.columns[[1] + list(range(5, northyork_merged.shape[1]))]]"
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  {
   "cell_type": "code",
   "execution_count": 91,
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   "outputs": [
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       "      <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",
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       "      <td>19</td>\n",
       "      <td>North York</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Women's Store</td>\n",
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       "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "19  North York             2.0        Baseball Field         Women's Store   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "19                 Diner        Clothing Store           Coffee Shop   \n",
       "\n",
       "      6th Most Common Venue       7th Most Common Venue 8th Most Common Venue  \\\n",
       "19  Comfort Food Restaurant  Construction & Landscaping     Convenience Store   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "19        Cosmetics Shop          Deli / Bodega  "
      ]
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     "execution_count": 91,
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   "execution_count": 92,
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       "      <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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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>North York</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
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       "      <td>22</td>\n",
       "      <td>North York</td>\n",
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       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
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       "      <td>Coffee Shop</td>\n",
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       "      <td>Cosmetics Shop</td>\n",
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       "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "16  North York             3.0                  Park          Dessert Shop   \n",
       "22  North York             3.0                  Park     Convenience Store   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "16    Chinese Restaurant        Chocolate Shop        Clothing Store   \n",
       "22          Dessert Shop    Chinese Restaurant        Chocolate Shop   \n",
       "\n",
       "   6th Most Common Venue    7th Most Common Venue       8th Most Common Venue  \\\n",
       "16           Coffee Shop  Comfort Food Restaurant  Construction & Landscaping   \n",
       "22        Clothing Store              Coffee Shop     Comfort Food Restaurant   \n",
       "\n",
       "         9th Most Common Venue 10th Most Common Venue  \n",
       "16           Convenience Store         Cosmetics Shop  \n",
       "22  Construction & Landscaping         Cosmetics Shop  "
      ]
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     "execution_count": 92,
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       "       Borough  Cluster Labels   1st Most Common Venue 2nd Most Common Venue  \\\n",
       "15  North York             4.0  Furniture / Home Store           Pizza Place   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "15          Intersection          Dessert Shop        Chocolate Shop   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue    8th Most Common Venue  \\\n",
       "15        Clothing Store           Coffee Shop  Comfort Food Restaurant   \n",
       "\n",
       "         9th Most Common Venue 10th Most Common Venue  \n",
       "15  Construction & Landscaping      Convenience Store  "
      ]
     },
     "execution_count": 93,
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