Capstone Project – The Battle of Neighborhoods  - Finding a Better Place in Scarborough, Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Capstone Project – The Battle of Neighborhoods | Finding a Better Place in Scarborough, Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Installing and Importing Python Libraries and Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting geocoder\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/4f/6b/13166c909ad2f2d76b929a4227c952630ebaf0d729f6317eb09cbceccbab/geocoder-1.38.1-py2.py3-none-any.whl (98kB)\n",
      "\u001b[K     |████████████████████████████████| 102kB 17.1MB/s ta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: six in /opt/conda/envs/Python36/lib/python3.6/site-packages (from geocoder) (1.12.0)\n",
      "Requirement already satisfied: requests in /opt/conda/envs/Python36/lib/python3.6/site-packages (from geocoder) (2.21.0)\n",
      "Requirement already satisfied: future in /opt/conda/envs/Python36/lib/python3.6/site-packages (from geocoder) (0.17.1)\n",
      "Collecting ratelim (from geocoder)\n",
      "  Downloading https://files.pythonhosted.org/packages/f2/98/7e6d147fd16a10a5f821db6e25f192265d6ecca3d82957a4fdd592cad49c/ratelim-0.1.6-py2.py3-none-any.whl\n",
      "Requirement already satisfied: click in /opt/conda/envs/Python36/lib/python3.6/site-packages (from geocoder) (7.0)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->geocoder) (2019.9.11)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->geocoder) (2.8)\n",
      "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->geocoder) (1.24.1)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->geocoder) (3.0.4)\n",
      "Requirement already satisfied: decorator in /opt/conda/envs/Python36/lib/python3.6/site-packages (from ratelim->geocoder) (4.3.2)\n",
      "Installing collected packages: ratelim, geocoder\n",
      "Successfully installed geocoder-1.38.1 ratelim-0.1.6\n",
      "Collecting folium\n",
      "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/72/ff/004bfe344150a064e558cb2aedeaa02ecbf75e60e148a55a9198f0c41765/folium-0.10.0-py2.py3-none-any.whl (91kB)\n",
      "\u001b[K     |████████████████████████████████| 92kB 12.7MB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: jinja2>=2.9 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from folium) (2.10)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/Python36/lib/python3.6/site-packages (from folium) (1.15.4)\n",
      "Requirement already satisfied: requests in /opt/conda/envs/Python36/lib/python3.6/site-packages (from folium) (2.21.0)\n",
      "Collecting branca>=0.3.0 (from folium)\n",
      "  Downloading https://files.pythonhosted.org/packages/63/36/1c93318e9653f4e414a2e0c3b98fc898b4970e939afeedeee6075dd3b703/branca-0.3.1-py3-none-any.whl\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from jinja2>=2.9->folium) (1.1.0)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->folium) (2019.9.11)\n",
      "Requirement already satisfied: urllib3<1.25,>=1.21.1 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->folium) (1.24.1)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->folium) (2.8)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/envs/Python36/lib/python3.6/site-packages (from requests->folium) (3.0.4)\n",
      "Requirement already satisfied: six in /opt/conda/envs/Python36/lib/python3.6/site-packages (from branca>=0.3.0->folium) (1.12.0)\n",
      "Installing collected packages: branca, folium\n",
      "Successfully installed branca-0.3.1 folium-0.10.0\n"
     ]
    }
   ],
   "source": [
    "!pip install geocoder\n",
    "!pip install folium"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All Required Libraries Imported!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "import numpy as np\n",
    "import geocoder\n",
    "import folium\n",
    "import requests \n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "import json\n",
    "import xml\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "from pandas.io.json import json_normalize \n",
    "from sklearn.cluster import KMeans\n",
    "from geopy.geocoders import Nominatim \n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "print(\"All Required Libraries Imported!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.  Data Extraction and Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using BeautifulSoup Scraping List of Postal Codes of Given Wikipedia Page. \n",
    "Link: https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\"\n",
    "extracting_data = requests.get(url).text\n",
    "wiki_data = BeautifulSoup(extracting_data, 'lxml')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Converting content of PostalCode HTML table as dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "column_names = ['Postalcode','Borough','Neighborhood']\n",
    "toronto = pd.DataFrame(columns = column_names)\n",
    "\n",
    "content = wiki_data.find('div', class_='mw-parser-output')\n",
    "table = content.table.tbody\n",
    "postcode = 0\n",
    "borough = 0\n",
    "neighborhood = 0\n",
    "\n",
    "for tr in table.find_all('tr'):\n",
    "    i = 0\n",
    "    for td in tr.find_all('td'):\n",
    "        if i == 0:\n",
    "            postcode = td.text\n",
    "            i = i + 1\n",
    "        elif i == 1:\n",
    "            borough = td.text\n",
    "            i = i + 1\n",
    "        elif i == 2: \n",
    "            neighborhood = td.text.strip('\\n').replace(']','')\n",
    "    toronto = toronto.append({'Postalcode': postcode,'Borough': borough,'Neighborhood': neighborhood},ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# clean dataframe \n",
    "toronto = toronto[toronto.Borough!='Not assigned']\n",
    "toronto = toronto[toronto.Borough!= 0]\n",
    "toronto.reset_index(drop = True, inplace = True)\n",
    "i = 0\n",
    "for i in range(0,toronto.shape[0]):\n",
    "    if toronto.iloc[i][2] == 'Not assigned':\n",
    "        toronto.iloc[i][2] = toronto.iloc[i][1]\n",
    "        i = i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode      Borough                            Neighborhood\n",
       "0        M1B  Scarborough                          Rouge, Malvern\n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union\n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill\n",
       "3        M1G  Scarborough                                  Woburn\n",
       "4        M1H  Scarborough                               Cedarbrae"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = toronto.groupby(['Postalcode','Borough'])['Neighborhood'].apply(', '.join).reset_index()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>103</td>\n",
       "      <td>11</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>M2M</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Postalcode     Borough     Neighborhood\n",
       "count         103         103              103\n",
       "unique        103          11              103\n",
       "top           M2M  North York  York Mills West\n",
       "freq            1          24                1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.dropna()\n",
    "empty = 'Not assigned'\n",
    "df = df[(df.Postalcode != empty ) & (df.Borough != empty) & (df.Neighborhood != empty)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode      Borough                            Neighborhood\n",
       "0        M1B  Scarborough                          Rouge, Malvern\n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union\n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill\n",
       "3        M1G  Scarborough                                  Woburn\n",
       "4        M1H  Scarborough                               Cedarbrae"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def neighborhood_list(grouped):    \n",
    "    return ', '.join(sorted(grouped['Neighborhood'].tolist()))\n",
    "                    \n",
    "grp = df.groupby(['Postalcode', 'Borough'])\n",
    "df_2 = grp.apply(neighborhood_list).reset_index(name='Neighborhood')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>103</td>\n",
       "      <td>11</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>M2M</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Postalcode     Borough     Neighborhood\n",
       "count         103         103              103\n",
       "unique        103          11              103\n",
       "top           M2M  North York  York Mills West\n",
       "freq            1          24                1"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(103, 3)\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode      Borough                            Neighborhood\n",
       "0        M1B  Scarborough                          Rouge, Malvern\n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union\n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill\n",
       "3        M1G  Scarborough                                  Woburn\n",
       "4        M1H  Scarborough                               Cedarbrae"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df_2.shape)\n",
    "df_2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[43.70949500000006, -79.36398897099997]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_latilong(postal_code):\n",
    "    lati_long_coords = None\n",
    "    while(lati_long_coords is None):\n",
    "        g = geocoder.arcgis('{}, Toronto, Ontario'.format(postal_code))\n",
    "        lati_long_coords = g.latlng\n",
    "    return lati_long_coords\n",
    "    \n",
    "get_latilong('M4G')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieving Postal Code Co-ordinates\n",
    "postal_codes = df_2['Postalcode']    \n",
    "coords = [ get_latilong(postal_code) for postal_code in postal_codes.tolist() ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adding Columns Latitude & Longitude\n",
    "df_coords = pd.DataFrame(coords, columns=['Latitude', 'Longitude'])\n",
    "df_2['Latitude'] = df_coords['Latitude']\n",
    "df_2['Longitude'] = df_coords['Longitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>43.656091</td>\n",
       "      <td>-79.38493</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postalcode           Borough        Neighborhood   Latitude  Longitude\n",
       "57        M5G  Downtown Toronto  Central Bay Street  43.656091  -79.38493"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2[df_2.Postalcode == 'M5G']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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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>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.811525</td>\n",
       "      <td>-79.195517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.785665</td>\n",
       "      <td>-79.158725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.765815</td>\n",
       "      <td>-79.175193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.768369</td>\n",
       "      <td>-79.217590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.769688</td>\n",
       "      <td>-79.239440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.743125</td>\n",
       "      <td>-79.231750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>East Birchmount Park, Ionview, Kennedy Park</td>\n",
       "      <td>43.726276</td>\n",
       "      <td>-79.263625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.713054</td>\n",
       "      <td>-79.285055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffcrest, Cliffside, Scarborough Village West</td>\n",
       "      <td>43.724235</td>\n",
       "      <td>-79.227925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "      <td>43.696770</td>\n",
       "      <td>-79.259967</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode      Borough                                     Neighborhood  \\\n",
       "0        M1B  Scarborough                                   Rouge, Malvern   \n",
       "1        M1C  Scarborough           Highland Creek, Rouge Hill, Port Union   \n",
       "2        M1E  Scarborough                Guildwood, Morningside, West Hill   \n",
       "3        M1G  Scarborough                                           Woburn   \n",
       "4        M1H  Scarborough                                        Cedarbrae   \n",
       "5        M1J  Scarborough                              Scarborough Village   \n",
       "6        M1K  Scarborough      East Birchmount Park, Ionview, Kennedy Park   \n",
       "7        M1L  Scarborough                  Clairlea, Golden Mile, Oakridge   \n",
       "8        M1M  Scarborough  Cliffcrest, Cliffside, Scarborough Village West   \n",
       "9        M1N  Scarborough                      Birch Cliff, Cliffside West   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.811525 -79.195517  \n",
       "1  43.785665 -79.158725  \n",
       "2  43.765815 -79.175193  \n",
       "3  43.768369 -79.217590  \n",
       "4  43.769688 -79.239440  \n",
       "5  43.743125 -79.231750  \n",
       "6  43.726276 -79.263625  \n",
       "7  43.713054 -79.285055  \n",
       "8  43.724235 -79.227925  \n",
       "9  43.696770 -79.259967  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Geograpical Co-ordinate of Seattle,Washington are 43.773077, -79.257774.\n"
     ]
    }
   ],
   "source": [
    "address = 'Scarborough,Toronto'\n",
    "\n",
    "geolocator = Nominatim()\n",
    "location = geolocator.geocode(address)\n",
    "latitude_x = location.latitude\n",
    "longitude_y = location.longitude\n",
    "print('The Geograpical Co-ordinate of Seattle,Washington are {}, {}.'.format(latitude_x, longitude_y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Map of Scarborough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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            ).addTo(map_9628497306ec4e3bb55c2d121512d680);
        
    
        var popup_e1dd095f0f8947d8bfd715d7e07eb3be = L.popup({"maxWidth": "100%"});

        
            var html_72973c1ca3154280912f579d76c40b68 = $(`<div id="html_72973c1ca3154280912f579d76c40b68" style="width: 100.0%; height: 100.0%;">Northwest</div>`)[0];
            popup_e1dd095f0f8947d8bfd715d7e07eb3be.setContent(html_72973c1ca3154280912f579d76c40b68);
        

        circle_marker_1abc2a9a7535416aad4e9667324c80f4.bindPopup(popup_e1dd095f0f8947d8bfd715d7e07eb3be)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f24255bdac8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_Scarborough = folium.Map(location=[latitude_x, longitude_y], zoom_start=10)\n",
    "\n",
    "for lat, lng, nei in zip(df_2['Latitude'], df_2['Longitude'], df_2['Neighborhood']):\n",
    "    \n",
    "    label = '{}'.format(nei)\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_Scarborough)  \n",
    "    \n",
    "map_Scarborough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Geograpical Co-ordinate of Neighborhood_1 are 43.773077, -79.257774.\n"
     ]
    }
   ],
   "source": [
    "address = 'Scarborough,Toronto'\n",
    "\n",
    "geolocator = Nominatim()\n",
    "location = geolocator.geocode(address)\n",
    "latitude_n1 = location.latitude\n",
    "longitude_n1 = location.longitude\n",
    "print('The Geograpical Co-ordinate of Neighborhood_1 are {}, {}.'.format(latitude_x, longitude_y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: DPBYY4JUY3DU20ALPSUV4ONY2K1GOJJKJ1NIHBB32XEMOVYY\n",
      "CLIENT_SECRET: 1MV443TYEP4HUO0WDUW5NQ5W10L2Y4G05NWG11WIR3NUGC5B\n"
     ]
    }
   ],
   "source": [
    "# @hiddel_cell\n",
    "CLIENT_ID = 'DPBYY4JUY3DU20ALPSUV4ONY2K1GOJJKJ1NIHBB32XEMOVYY' # my Foursquare ID\n",
    "CLIENT_SECRET = '1MV443TYEP4HUO0WDUW5NQ5W10L2Y4G05NWG11WIR3NUGC5B' # my Foursquare Secret\n",
    "VERSION = '20180604'\n",
    "LIMIT = 30\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: '+CLIENT_ID)\n",
    "print('CLIENT_SECRET: '+CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "radius = 700 \n",
    "LIMIT = 100\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",
    "    latitude_n1, \n",
    "   longitude_n1, \n",
    "    radius, \n",
    "   LIMIT)\n",
    "results = requests.get(url).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['reasons.count', 'reasons.items', 'referralId', 'venue.categories',\n",
       "       'venue.events.count', 'venue.events.summary', 'venue.id',\n",
       "       'venue.location.address', 'venue.location.cc', 'venue.location.city',\n",
       "       'venue.location.country', 'venue.location.crossStreet',\n",
       "       'venue.location.distance', 'venue.location.formattedAddress',\n",
       "       'venue.location.labeledLatLngs', 'venue.location.lat',\n",
       "       'venue.location.lng', 'venue.location.neighborhood',\n",
       "       'venue.location.postalCode', 'venue.location.state', 'venue.name',\n",
       "       'venue.photos.count', 'venue.photos.groups', 'venue.venuePage.id'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues=results['response']['groups'][0]['items']\n",
    "nearby_venues = json_normalize(venues)\n",
    "nearby_venues.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "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": "markdown",
   "metadata": {},
   "source": [
    "### 4. Nearby Venues/Locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>venue.name</th>\n",
       "      <th>venue.categories</th>\n",
       "      <th>venue.location.lat</th>\n",
       "      <th>venue.location.lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Disney Store</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d1f3941735', 'name': 'T...</td>\n",
       "      <td>43.775537</td>\n",
       "      <td>-79.256833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>American Eagle Outfitters</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d103951735', 'name': 'C...</td>\n",
       "      <td>43.775908</td>\n",
       "      <td>-79.258352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SEPHORA</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d10c951735', 'name': 'C...</td>\n",
       "      <td>43.775017</td>\n",
       "      <td>-79.258109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Canyon Creek Chophouse</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d1cc941735', 'name': 'S...</td>\n",
       "      <td>43.776959</td>\n",
       "      <td>-79.261694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coliseum Scarborough Cinemas</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d17f941735', 'name': 'M...</td>\n",
       "      <td>43.775995</td>\n",
       "      <td>-79.255649</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     venue.name  \\\n",
       "0                  Disney Store   \n",
       "1     American Eagle Outfitters   \n",
       "2                       SEPHORA   \n",
       "3        Canyon Creek Chophouse   \n",
       "4  Coliseum Scarborough Cinemas   \n",
       "\n",
       "                                    venue.categories  venue.location.lat  \\\n",
       "0  [{'id': '4bf58dd8d48988d1f3941735', 'name': 'T...           43.775537   \n",
       "1  [{'id': '4bf58dd8d48988d103951735', 'name': 'C...           43.775908   \n",
       "2  [{'id': '4bf58dd8d48988d10c951735', 'name': 'C...           43.775017   \n",
       "3  [{'id': '4bf58dd8d48988d1cc941735', 'name': 'S...           43.776959   \n",
       "4  [{'id': '4bf58dd8d48988d17f941735', 'name': 'M...           43.775995   \n",
       "\n",
       "   venue.location.lng  \n",
       "0          -79.256833  \n",
       "1          -79.258352  \n",
       "2          -79.258109  \n",
       "3          -79.261694  \n",
       "4          -79.255649  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Categories of Nearby Venues/Locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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",
       "      <th>0</th>\n",
       "      <td>Disney Store</td>\n",
       "      <td>Toy / Game Store</td>\n",
       "      <td>43.775537</td>\n",
       "      <td>-79.256833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>American Eagle Outfitters</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>43.775908</td>\n",
       "      <td>-79.258352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SEPHORA</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>43.775017</td>\n",
       "      <td>-79.258109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Canyon Creek Chophouse</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>43.776959</td>\n",
       "      <td>-79.261694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coliseum Scarborough Cinemas</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>43.775995</td>\n",
       "      <td>-79.255649</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           name        categories        lat        lng\n",
       "0                  Disney Store  Toy / Game Store  43.775537 -79.256833\n",
       "1     American Eagle Outfitters    Clothing Store  43.775908 -79.258352\n",
       "2                       SEPHORA    Cosmetics Shop  43.775017 -79.258109\n",
       "3        Canyon Creek Chophouse        Steakhouse  43.776959 -79.261694\n",
       "4  Coliseum Scarborough Cinemas     Movie Theater  43.775995 -79.255649"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "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(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Clothing Store         8\n",
       "Coffee Shop            5\n",
       "Restaurant             3\n",
       "Cosmetics Shop         3\n",
       "Sporting Goods Shop    2\n",
       "Pharmacy               2\n",
       "Wings Joint            2\n",
       "Tea Room               2\n",
       "Sandwich Place         2\n",
       "Electronics Store      1\n",
       "Name: categories, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 10 Categories\n",
    "a=pd.Series(nearby_venues.categories)\n",
    "a.value_counts()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=700):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \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",
    "        # making GET request\n",
    "        venue_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 venue_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": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rouge, Malvern\n",
      "Highland Creek, Rouge Hill, Port Union\n",
      "Guildwood, Morningside, West Hill\n",
      "Woburn\n",
      "Cedarbrae\n",
      "Scarborough Village\n",
      "East Birchmount Park, Ionview, Kennedy Park\n",
      "Clairlea, Golden Mile, Oakridge\n",
      "Cliffcrest, Cliffside, Scarborough Village West\n",
      "Birch Cliff, Cliffside West\n",
      "Dorset Park, Scarborough Town Centre, Wexford Heights\n",
      "Maryvale, Wexford\n",
      "Agincourt\n",
      "Clarks Corners, Sullivan, Tam O'Shanter\n",
      "Agincourt North, L'Amoreaux East, Milliken, Steeles East\n",
      "L'Amoreaux West\n",
      "Upper Rouge\n",
      "Hillcrest Village\n",
      "Fairview, Henry Farm, Oriole\n",
      "Bayview Village\n",
      "Silver Hills, York Mills\n",
      "Newtonbrook, Willowdale\n",
      "Willowdale South\n",
      "York Mills West\n",
      "Willowdale West\n",
      "Parkwoods\n",
      "Don Mills North\n",
      "Flemingdon Park, Don Mills South\n",
      "Bathurst Manor, Downsview North, Wilson Heights\n",
      "Northwood Park, York University\n",
      "CFB Toronto, Downsview East\n",
      "Downsview West\n",
      "Downsview Central\n",
      "Downsview Northwest\n",
      "Victoria Village\n",
      "Woodbine Gardens, Parkview Hill\n",
      "Woodbine Heights\n",
      "The Beaches\n",
      "Leaside\n",
      "Thorncliffe Park\n",
      "East Toronto\n",
      "The Danforth West, Riverdale\n",
      "The Beaches West, India Bazaar\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West\n",
      "Davisville\n",
      "Moore Park, Summerhill East\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "Rosedale\n",
      "Cabbagetown, St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront, Regent Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Adelaide, King, Richmond\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Commerce Court, Victoria Hotel\n",
      "Bedford Park, Lawrence Manor East\n",
      "Roselawn\n",
      "Forest Hill North, Forest Hill West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Harbord, University of Toronto\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "First Canadian Place, Underground city\n",
      "Lawrence Heights, Lawrence Manor\n",
      "Glencairn\n",
      "Humewood-Cedarvale\n",
      "Caledonia-Fairbanks\n",
      "Christie\n",
      "Dovercourt Village, Dufferin\n",
      "Little Portugal, Trinity\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "Downsview, North Park, Upwood Park\n",
      "Del Ray, Keelesdale, Mount Dennis, Silverthorn\n",
      "The Junction North, Runnymede\n",
      "High Park, The Junction South\n",
      "Parkdale, Roncesvalles\n",
      "Runnymede, Swansea\n",
      "Queen's Park\n",
      "Canada Post Gateway Processing Centre\n",
      "Business Reply Mail Processing Centre 969 Eastern\n",
      "Humber Bay Shores, Mimico South, New Toronto\n",
      "Alderwood, Long Branch\n",
      "The Kingsway, Montgomery Road, Old Mill North\n",
      "Humber Bay, King's Mill Park, Kingsway Park South East, Mimico NE, Old Mill South, The Queensway East, Royal York South East, Sunnylea\n",
      "Kingsway Park South West, Mimico NW, The Queensway West, Royal York South West, South of Bloor\n",
      "Islington Avenue\n",
      "Cloverdale, Islington, Martin Grove, Princess Gardens, West Deane Park\n",
      "Bloordale Gardens, Eringate, Markland Wood, Old Burnhamthorpe\n",
      "Humber Summit\n",
      "Emery, Humberlea\n",
      "Weston\n",
      "Westmount\n",
      "Kingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips\n",
      "Albion Gardens, Beaumond Heights, Humbergate, Jamestown, Mount Olive, Silverstone, South Steeles, Thistletown\n",
      "Northwest\n"
     ]
    }
   ],
   "source": [
    "# Nearby Venues\n",
    "Scarborough_venues = getNearbyVenues(names=df_2['Neighborhood'],\n",
    "                                   latitudes=df_2['Latitude'],\n",
    "                                   longitudes=df_2['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 299 Uniques Categories.\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Adelaide, King, Richmond</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agincourt</th>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agincourt North, L'Amoreaux East, Milliken, Steeles East</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albion Gardens, Beaumond Heights, Humbergate, Jamestown, Mount Olive, Silverstone, South Steeles, Thistletown</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alderwood, Long Branch</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                                              100   \n",
       "Agincourt                                                              29   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...                      4   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...                     12   \n",
       "Alderwood, Long Branch                                                  9   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Adelaide, King, Richmond                                               100   \n",
       "Agincourt                                                               29   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...                       4   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...                      12   \n",
       "Alderwood, Long Branch                                                   9   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                              100             100   \n",
       "Agincourt                                              29              29   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...      4               4   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...     12              12   \n",
       "Alderwood, Long Branch                                  9               9   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Adelaide, King, Richmond                                        100   \n",
       "Agincourt                                                        29   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...                4   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...               12   \n",
       "Alderwood, Long Branch                                            9   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Adelaide, King, Richmond                                       100  \n",
       "Agincourt                                                       29  \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...               4  \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...              12  \n",
       "Alderwood, Long Branch                                           9  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('There are {} Uniques Categories.'.format(len(Scarborough_venues['Venue Category'].unique())))\n",
    "Scarborough_venues.groupby('Neighborhood').count().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### One Hot Encoding of Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Zoo Exhibit</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>African Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Arcade</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Art Museum</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Dealership</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Field</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Big Box Store</th>\n",
       "      <th>Bike Rental / Bike Share</th>\n",
       "      <th>Bike Shop</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bridge</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Buffet</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Station</th>\n",
       "      <th>Bus Stop</th>\n",
       "      <th>Business Service</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Cantonese Restaurant</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Castle</th>\n",
       "      <th>Cemetery</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chiropractor</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Climbing Gym</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>College Stadium</th>\n",
       "      <th>College Theater</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comedy Club</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Construction &amp; Landscaping</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Curling Ice</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Dentist's Office</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Design Studio</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Disc Golf</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Doctor's Office</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Elementary School</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farm</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Field</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Financial or Legal Service</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Frozen Yogurt Shop</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Garden</th>\n",
       "      <th>Gas Station</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>German Restaurant</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Golf Course</th>\n",
       "      <th>Golf Driving Range</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Gym Pool</th>\n",
       "      <th>Hakka Restaurant</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Hardware Store</th>\n",
       "      <th>Hawaiian Restaurant</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Health Food Store</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hobby Shop</th>\n",
       "      <th>Hockey Arena</th>\n",
       "      <th>Home Service</th>\n",
       "      <th>Hong Kong Restaurant</th>\n",
       "      <th>Hookah Bar</th>\n",
       "      <th>Hostel</th>\n",
       "      <th>Hot Dog Joint</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Hotpot Restaurant</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indonesian Restaurant</th>\n",
       "      <th>Intersection</th>\n",
       "      <th>Irish Pub</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <th>Jazz Club</th>\n",
       "      <th>Jewelry Store</th>\n",
       "      <th>Jewish Restaurant</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Karaoke Bar</th>\n",
       "      <th>Kids Store</th>\n",
       "      <th>Kitchen Supply Store</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Laundry Service</th>\n",
       "      <th>Leather Goods Store</th>\n",
       "      <th>Library</th>\n",
       "      <th>Light Rail Station</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Mac &amp; Cheese Joint</th>\n",
       "      <th>Malay Restaurant</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts Dojo</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Metro Station</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Mobile Phone Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Moving Target</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Store</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Other Nightlife</th>\n",
       "      <th>Paper / Office Supplies Store</th>\n",
       "      <th>Park</th>\n",
       "      <th>Pastry Shop</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Peruvian Restaurant</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pier</th>\n",
       "      <th>Pilates Studio</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Platform</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pool Hall</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Print Shop</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Residential Building (Apartment / Condo)</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Road</th>\n",
       "      <th>Rock Climbing Spot</th>\n",
       "      <th>Rock Club</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Science Museum</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skate Park</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Smoothie Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Soccer Field</th>\n",
       "      <th>Soccer Stadium</th>\n",
       "      <th>Social Club</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Souvlaki Shop</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Sports Club</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Storage Facility</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tapas Restaurant</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tech Startup</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Park</th>\n",
       "      <th>Theme Park Ride / Attraction</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Track</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>University</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Zoo Exhibit  Accessories Store  Afghan Restaurant  African Restaurant  \\\n",
       "0            0                  0                  0                   0   \n",
       "1            0                  0                  0                   0   \n",
       "2            1                  0                  0                   0   \n",
       "3            0                  0                  0                   0   \n",
       "4            0                  0                  0                   0   \n",
       "\n",
       "   Airport  American Restaurant  Antique Shop  Arcade  Art Gallery  \\\n",
       "0        0                    0             0       0            0   \n",
       "1        0                    0             0       0            0   \n",
       "2        0                    0             0       0            0   \n",
       "3        0                    0             0       0            0   \n",
       "4        0                    0             0       0            0   \n",
       "\n",
       "   Art Museum  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",
       "   Auto Dealership  BBQ Joint  Baby Store  Bagel Shop  Bakery  Bank  Bar  \\\n",
       "0                0          0           0           0       0     0    0   \n",
       "1                0          0           0           0       0     0    0   \n",
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       "4                0          0           0           0       0     0    1   \n",
       "\n",
       "   Baseball Field  Basketball Stadium  Beach  Beer Bar  Beer Store  \\\n",
       "0               0                   0      0         0           0   \n",
       "1               0                   0      0         0           0   \n",
       "2               0                   0      0         0           0   \n",
       "3               0                   0      0         0           0   \n",
       "4               0                   0      0         0           0   \n",
       "\n",
       "   Belgian Restaurant  Big Box Store  Bike Rental / Bike Share  Bike Shop  \\\n",
       "0                   0              0                         0          0   \n",
       "1                   0              0                         0          0   \n",
       "2                   0              0                         0          0   \n",
       "3                   0              0                         0          0   \n",
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       "   Bistro  Boat or Ferry  Bookstore  Boutique  Brazilian Restaurant  \\\n",
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       "   Burger Joint  Burrito Place  Bus Line  Bus Station  Bus Stop  \\\n",
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       "4             0              0         0            0         0   \n",
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       "   Business Service  Butcher  Café  Cajun / Creole Restaurant  Camera Store  \\\n",
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       "1                 0        0     0                          0             0   \n",
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       "\n",
       "   Candy Store  Cantonese Restaurant  Caribbean Restaurant  Castle  Cemetery  \\\n",
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       "1            0                     0                     0       0         0   \n",
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       "3            0                     0                     0       0         0   \n",
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       "\n",
       "   Cheese Shop  Chinese Restaurant  Chiropractor  Chocolate Shop  Church  \\\n",
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       "3            0                   0             0               0       0   \n",
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       "\n",
       "   Climbing Gym  Clothing Store  Cocktail Bar  Coffee Shop  \\\n",
       "0             0               0             0            0   \n",
       "1             0               0             0            0   \n",
       "2             0               0             0            0   \n",
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       "4             0               0             0            0   \n",
       "\n",
       "   College Arts Building  College Gym  College Rec Center  College Stadium  \\\n",
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       "1                      0            0                   0                0   \n",
       "2                      0            0                   0                0   \n",
       "3                      0            0                   0                0   \n",
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       "\n",
       "   College Theater  Colombian Restaurant  Comedy Club  \\\n",
       "0                0                     0            0   \n",
       "1                0                     0            0   \n",
       "2                0                     0            0   \n",
       "3                0                     0            0   \n",
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       "\n",
       "   Comfort Food Restaurant  Comic Shop  Concert Hall  \\\n",
       "0                        0           0             0   \n",
       "1                        0           0             0   \n",
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       "   Construction & Landscaping  Convenience Store  Cosmetics Shop  Creperie  \\\n",
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       "\n",
       "   Cuban Restaurant  Cupcake Shop  Curling Ice  Dance Studio  Deli / Bodega  \\\n",
       "0                 0             0            0             0              0   \n",
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       "\n",
       "   Dentist's Office  Department Store  Design Studio  Dessert Shop  \\\n",
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       "1                 0                 0              0             0   \n",
       "2                 0                 0              0             0   \n",
       "3                 0                 0              0             0   \n",
       "4                 0                 0              0             0   \n",
       "\n",
       "   Dim Sum Restaurant  Diner  Disc Golf  Discount Store  Doctor's Office  \\\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",
       "   Dog Run  Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n",
       "0        0                 0           0                    0   \n",
       "1        0                 0           0                    0   \n",
       "2        0                 0           0                    0   \n",
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       "\n",
       "   Eastern European Restaurant  Electronics Store  Elementary School  \\\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",
       "   Ethiopian Restaurant  Event Space  Falafel Restaurant  Farm  \\\n",
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       "1                     0            0                   0     0   \n",
       "2                     0            0                   0     0   \n",
       "3                     0            0                   0     0   \n",
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       "\n",
       "   Farmers Market  Fast Food Restaurant  Field  Filipino Restaurant  \\\n",
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       "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",
       "   Financial or Legal Service  Fish & Chips Shop  Fish Market  Flea Market  \\\n",
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       "1                           1                  0            0            0   \n",
       "2                           0                  0            0            0   \n",
       "3                           0                  0            0            0   \n",
       "4                           0                  0            0            0   \n",
       "\n",
       "   Flower Shop  Food  Food & Drink Shop  Food Court  Food Truck  Fountain  \\\n",
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       "1            0     0                  0           0           0         0   \n",
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       "   French Restaurant  Fried Chicken Joint  Frozen Yogurt Shop  \\\n",
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       "1                  0                    0                   0   \n",
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       "3                  0                    0                   0   \n",
       "4                  0                    0                   0   \n",
       "\n",
       "   Furniture / Home Store  Gaming Cafe  Garden  Gas Station  Gastropub  \\\n",
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       "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",
       "   Gay Bar  General Entertainment  General Travel  German Restaurant  \\\n",
       "0        0                      0               0                  0   \n",
       "1        0                      0               0                  0   \n",
       "2        0                      0               0                  0   \n",
       "3        0                      0               0                  0   \n",
       "4        0                      0               0                  0   \n",
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       "   Gift Shop  Golf Course  Golf Driving Range  Gourmet Shop  Greek Restaurant  \\\n",
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       "1          0            0                   0             0                 0   \n",
       "2          0            0                   0             0                 0   \n",
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       "4          0            0                   0             0                 0   \n",
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       "   Grocery Store  Gym  Gym / Fitness Center  Gym Pool  Hakka Restaurant  \\\n",
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       "1              0    0                     0         0                 0   \n",
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       "4              0    0                     0         0                 0   \n",
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       "   Harbor / Marina  Hardware Store  Hawaiian Restaurant  \\\n",
       "0                0               0                    0   \n",
       "1                0               0                    0   \n",
       "2                0               0                    0   \n",
       "3                0               0                    0   \n",
       "4                0               0                    0   \n",
       "\n",
       "   Health & Beauty Service  Health Food Store  Historic Site  History Museum  \\\n",
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       "1                        0                  0              0               0   \n",
       "2                        0                  0              0               0   \n",
       "3                        0                  0              0               0   \n",
       "4                        0                  0              0               0   \n",
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       "   Hobby Shop  Hockey Arena  Home Service  Hong Kong Restaurant  Hookah Bar  \\\n",
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       "1           0             0             0                     0           0   \n",
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       "   Hostel  Hot Dog Joint  Hotel  Hotel Bar  Hotpot Restaurant  Ice Cream Shop  \\\n",
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       "   Jazz Club  Jewelry Store  Jewish Restaurant  Juice Bar  Karaoke Bar  \\\n",
       "0          0              0                  0          0            0   \n",
       "1          0              0                  0          0            0   \n",
       "2          0              0                  0          0            0   \n",
       "3          0              0                  0          0            0   \n",
       "4          0              0                  0          0            0   \n",
       "\n",
       "   Kids Store  Kitchen Supply Store  Korean Restaurant  \\\n",
       "0           0                     0                  0   \n",
       "1           0                     0                  0   \n",
       "2           0                     0                  0   \n",
       "3           0                     0                  0   \n",
       "4           0                     0                  0   \n",
       "\n",
       "   Latin American Restaurant  Laundry Service  Leather Goods Store  Library  \\\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",
       "   Light Rail Station  Lingerie Store  Liquor Store  Lounge  \\\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",
       "   Mac & Cheese Joint  Malay Restaurant  Market  Martial Arts Dojo  \\\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",
       "   Massage Studio  Mediterranean Restaurant  Men's Store  Metro Station  \\\n",
       "0               0                         0            0              0   \n",
       "1               0                         0            0              0   \n",
       "2               0                         0            0              0   \n",
       "3               0                         0            0              0   \n",
       "4               0                         0            0              0   \n",
       "\n",
       "   Mexican Restaurant  Middle Eastern Restaurant  Miscellaneous Shop  \\\n",
       "0                   0                          0                   0   \n",
       "1                   0                          0                   0   \n",
       "2                   0                          0                   0   \n",
       "3                   0                          0                   0   \n",
       "4                   0                          0                   0   \n",
       "\n",
       "   Mobile Phone Shop  Modern European Restaurant  \\\n",
       "0                  0                           0   \n",
       "1                  0                           0   \n",
       "2                  0                           0   \n",
       "3                  0                           0   \n",
       "4                  0                           0   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n",
       "0                                0                    0              0   \n",
       "1                                0                    0              0   \n",
       "2                                0                    0              0   \n",
       "3                                0                    0              0   \n",
       "4                                0                    0              0   \n",
       "\n",
       "   Moving Target  Museum  Music Store  Music Venue  \\\n",
       "0              0       0            0            0   \n",
       "1              0       0            0            0   \n",
       "2              0       0            0            0   \n",
       "3              0       0            0            0   \n",
       "4              0       0            0            0   \n",
       "\n",
       "                             Neighborhood  New American Restaurant  Nightclub  \\\n",
       "0                          Rouge, Malvern                        0          0   \n",
       "1                          Rouge, Malvern                        0          0   \n",
       "2                          Rouge, Malvern                        0          0   \n",
       "3                          Rouge, Malvern                        0          0   \n",
       "4  Highland Creek, Rouge Hill, Port Union                        0          0   \n",
       "\n",
       "   Noodle House  Office  Opera House  Optical Shop  Organic Grocery  \\\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",
       "   Other Great Outdoors  Other Nightlife  Paper / Office Supplies Store  Park  \\\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",
       "   Pastry Shop  Performing Arts Venue  Peruvian Restaurant  Pet 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",
       "   Pharmacy  Pier  Pilates Studio  Pizza Place  Platform  Playground  Plaza  \\\n",
       "0         0     0               0            0         0           0      0   \n",
       "1         0     0               0            0         0           0      0   \n",
       "2         0     0               0            0         0           0      0   \n",
       "3         0     0               0            0         0           0      0   \n",
       "4         0     0               0            0         0           0      0   \n",
       "\n",
       "   Poke Place  Pool  Pool Hall  Portuguese Restaurant  Poutine Place  \\\n",
       "0           0     0          0                      0              0   \n",
       "1           0     0          0                      0              0   \n",
       "2           0     0          0                      0              0   \n",
       "3           0     0          0                      0              0   \n",
       "4           0     0          0                      0              0   \n",
       "\n",
       "   Print Shop  Pub  Ramen Restaurant  Record Shop  Rental Car Location  \\\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",
       "   Residential Building (Apartment / Condo)  Restaurant  Road  \\\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",
       "   Rock Climbing Spot  Rock Club  Sake Bar  Salad Place  Salon / Barbershop  \\\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",
       "   Sandwich Place  Scenic Lookout  Science Museum  Seafood Restaurant  \\\n",
       "0               0               0               0                   0   \n",
       "1               0               0               0                   0   \n",
       "2               0               0               0                   0   \n",
       "3               0               0               0                   0   \n",
       "4               0               0               0                   0   \n",
       "\n",
       "   Shanghai Restaurant  Shoe Store  Shopping Mall  Skate Park  Skating Rink  \\\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",
       "   Smoke Shop  Smoothie Shop  Snack Place  Soccer Field  Soccer Stadium  \\\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",
       "   Social Club  Soup Place  Southern / Soul Food Restaurant  Souvlaki Shop  \\\n",
       "0            0           0                                0              0   \n",
       "1            0           0                                0              0   \n",
       "2            0           0                                0              0   \n",
       "3            0           0                                0              0   \n",
       "4            0           0                                0              0   \n",
       "\n",
       "   Spa  Spanish Restaurant  Speakeasy  Sporting Goods Shop  Sports Bar  \\\n",
       "0    0                   0          0                    0           0   \n",
       "1    0                   0          0                    0           0   \n",
       "2    0                   0          0                    0           0   \n",
       "3    0                   0          0                    0           0   \n",
       "4    0                   0          0                    0           0   \n",
       "\n",
       "   Sports Club  Stationery Store  Steakhouse  Storage Facility  Supermarket  \\\n",
       "0            0                 0           0                 0            0   \n",
       "1            0                 0           0                 0            0   \n",
       "2            0                 0           0                 0            0   \n",
       "3            0                 0           0                 0            0   \n",
       "4            0                 0           0                 0            0   \n",
       "\n",
       "   Sushi Restaurant  Taco Place  Tailor Shop  Taiwanese Restaurant  \\\n",
       "0                 0           0            0                     0   \n",
       "1                 0           0            0                     0   \n",
       "2                 0           0            0                     0   \n",
       "3                 0           0            0                     0   \n",
       "4                 0           0            0                     0   \n",
       "\n",
       "   Tanning Salon  Tapas Restaurant  Tea Room  Tech Startup  Tennis Court  \\\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",
       "   Thai Restaurant  Theater  Theme Park  Theme Park Ride / Attraction  \\\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",
       "   Theme Restaurant  Thrift / Vintage Store  Toy / Game Store  Track  Trail  \\\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",
       "   Train Station  University  Vegetarian / Vegan Restaurant  Video 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 Store  Vietnamese Restaurant  Warehouse Store  Wine Bar  Wine 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",
       "   Wings Joint  Women's Store  Yoga Studio  \n",
       "0            0              0            0  \n",
       "1            0              0            0  \n",
       "2            0              0            0  \n",
       "3            0              0            0  \n",
       "4            0              0            0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "Scarborough_onehot = pd.get_dummies(Scarborough_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "Scarborough_onehot['Neighborhood'] = Scarborough_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [Scarborough_onehot.columns[-1]] + list(Scarborough_onehot.columns[:-1])\n",
    "Scarborough_onehot = Scarborough_onehot[fixed_columns]\n",
    "Scarborough_grouped = Scarborough_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "Scarborough_onehot.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---- Adelaide, King, Richmond ----\n",
      "          venue  freq\n",
      "0   Coffee Shop  0.09\n",
      "1          Café  0.07\n",
      "2         Hotel  0.06\n",
      "3  Burger Joint  0.03\n",
      "4           Bar  0.03\n",
      "\n",
      "\n",
      "---- Agincourt ----\n",
      "                  venue  freq\n",
      "0         Shopping Mall  0.07\n",
      "1    Chinese Restaurant  0.07\n",
      "2  Hong Kong Restaurant  0.03\n",
      "3   Filipino Restaurant  0.03\n",
      "4   Shanghai Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Agincourt North, L'Amoreaux East, Milliken, Steeles East ----\n",
      "              venue  freq\n",
      "0          Pharmacy  0.50\n",
      "1    Sandwich Place  0.25\n",
      "2  Sushi Restaurant  0.25\n",
      "3       Zoo Exhibit  0.00\n",
      "4     Movie Theater  0.00\n",
      "\n",
      "\n",
      "---- Albion Gardens, Beaumond Heights, Humbergate, Jamestown, Mount Olive, Silverstone, South Steeles, Thistletown ----\n",
      "                 venue  freq\n",
      "0        Grocery Store  0.17\n",
      "1       Hardware Store  0.08\n",
      "2  Fried Chicken Joint  0.08\n",
      "3       Sandwich Place  0.08\n",
      "4       Discount Store  0.08\n",
      "\n",
      "\n",
      "---- Alderwood, Long Branch ----\n",
      "               venue  freq\n",
      "0  Convenience Store  0.11\n",
      "1        Coffee Shop  0.11\n",
      "2     Sandwich Place  0.11\n",
      "3       Dance Studio  0.11\n",
      "4                Pub  0.11\n",
      "\n",
      "\n",
      "---- Bathurst Manor, Downsview North, Wilson Heights ----\n",
      "                       venue  freq\n",
      "0                Pizza Place  0.18\n",
      "1                Coffee Shop  0.09\n",
      "2   Mediterranean Restaurant  0.09\n",
      "3              Deli / Bodega  0.09\n",
      "4  Middle Eastern Restaurant  0.09\n",
      "\n",
      "\n",
      "---- Bayview Village ----\n",
      "              venue  freq\n",
      "0  Asian Restaurant  0.25\n",
      "1       Flower Shop  0.25\n",
      "2              Park  0.25\n",
      "3             Trail  0.25\n",
      "4       Zoo Exhibit  0.00\n",
      "\n",
      "\n",
      "---- Bedford Park, Lawrence Manor East ----\n",
      "                venue  freq\n",
      "0    Sushi Restaurant  0.07\n",
      "1         Coffee Shop  0.07\n",
      "2  Italian Restaurant  0.07\n",
      "3                Café  0.04\n",
      "4           Juice Bar  0.04\n",
      "\n",
      "\n",
      "---- Berczy Park ----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.09\n",
      "1   Restaurant  0.05\n",
      "2         Café  0.05\n",
      "3        Hotel  0.05\n",
      "4     Beer Bar  0.04\n",
      "\n",
      "\n",
      "---- Birch Cliff, Cliffside West ----\n",
      "                   venue  freq\n",
      "0                   Park  0.22\n",
      "1         Baseball Field  0.11\n",
      "2           Skating Rink  0.11\n",
      "3  General Entertainment  0.11\n",
      "4                    Gym  0.11\n",
      "\n",
      "\n",
      "---- Bloordale Gardens, Eringate, Markland Wood, Old Burnhamthorpe ----\n",
      "               venue  freq\n",
      "0     Baseball Field  0.09\n",
      "1  Fish & Chips Shop  0.09\n",
      "2     Sandwich Place  0.09\n",
      "3      Shopping Mall  0.09\n",
      "4      Grocery Store  0.09\n",
      "\n",
      "\n",
      "---- Brockton, Exhibition Place, Parkdale Village ----\n",
      "                    venue  freq\n",
      "0             Coffee Shop  0.08\n",
      "1                    Café  0.07\n",
      "2                     Bar  0.06\n",
      "3              Restaurant  0.04\n",
      "4  Furniture / Home Store  0.04\n",
      "\n",
      "\n",
      "---- Business Reply Mail Processing Centre 969 Eastern ----\n",
      "              venue  freq\n",
      "0       Coffee Shop  0.10\n",
      "1              Café  0.06\n",
      "2             Hotel  0.04\n",
      "3               Bar  0.04\n",
      "4  Sushi Restaurant  0.03\n",
      "\n",
      "\n",
      "---- CFB Toronto, Downsview East ----\n",
      "          venue  freq\n",
      "0  Soccer Field   0.2\n",
      "1    Food Court   0.2\n",
      "2       Airport   0.2\n",
      "3          Park   0.2\n",
      "4   Coffee Shop   0.2\n",
      "\n",
      "\n",
      "---- CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara ----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.10\n",
      "1          Restaurant  0.05\n",
      "2                Café  0.05\n",
      "3  Italian Restaurant  0.05\n",
      "4                 Gym  0.04\n",
      "\n",
      "\n",
      "---- Cabbagetown, St. James Town ----\n",
      "                 venue  freq\n",
      "0           Restaurant  0.06\n",
      "1          Coffee Shop  0.06\n",
      "2          Pizza Place  0.05\n",
      "3  Japanese Restaurant  0.03\n",
      "4               Bakery  0.03\n",
      "\n",
      "\n",
      "---- Caledonia-Fairbanks ----\n",
      "                 venue  freq\n",
      "0                 Park  0.17\n",
      "1  Sporting Goods Shop  0.08\n",
      "2             Bus Stop  0.08\n",
      "3                 Café  0.08\n",
      "4               Market  0.08\n",
      "\n",
      "\n",
      "---- Canada Post Gateway Processing Centre ----\n",
      "              venue  freq\n",
      "0       Coffee Shop  0.10\n",
      "1              Café  0.06\n",
      "2             Hotel  0.04\n",
      "3               Bar  0.04\n",
      "4  Sushi Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Cedarbrae ----\n",
      "                  venue  freq\n",
      "0  Caribbean Restaurant  0.12\n",
      "1           Flower Shop  0.12\n",
      "2     Indian Restaurant  0.12\n",
      "3                  Bank  0.12\n",
      "4                Bakery  0.12\n",
      "\n",
      "\n",
      "---- Central Bay Street ----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.06\n",
      "1      Clothing Store  0.04\n",
      "2      Cosmetics Shop  0.04\n",
      "3      Ice Cream Shop  0.03\n",
      "4  Italian Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Chinatown, Grange Park, Kensington Market ----\n",
      "                           venue  freq\n",
      "0                           Café  0.06\n",
      "1             Chinese Restaurant  0.05\n",
      "2                            Bar  0.05\n",
      "3          Vietnamese Restaurant  0.04\n",
      "4  Vegetarian / Vegan Restaurant  0.04\n",
      "\n",
      "\n",
      "---- Christie ----\n",
      "               venue  freq\n",
      "0  Korean Restaurant  0.18\n",
      "1      Grocery Store  0.10\n",
      "2              Diner  0.04\n",
      "3  Indian Restaurant  0.04\n",
      "4               Café  0.04\n",
      "\n",
      "\n",
      "---- Church and Wellesley ----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.09\n",
      "1  Japanese Restaurant  0.04\n",
      "2                 Café  0.03\n",
      "3     Sushi Restaurant  0.03\n",
      "4           Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Clairlea, Golden Mile, Oakridge ----\n",
      "          venue  freq\n",
      "0  Intersection  0.17\n",
      "1      Bus Line  0.11\n",
      "2   Coffee Shop  0.11\n",
      "3         Diner  0.11\n",
      "4        Bakery  0.11\n",
      "\n",
      "\n",
      "---- Clarks Corners, Sullivan, Tam O'Shanter ----\n",
      "                   venue  freq\n",
      "0   Fast Food Restaurant  0.10\n",
      "1            Pizza Place  0.10\n",
      "2  Vietnamese Restaurant  0.07\n",
      "3            Golf Course  0.03\n",
      "4                 Market  0.03\n",
      "\n",
      "\n",
      "---- Cliffcrest, Cliffside, Scarborough Village West ----\n",
      "                  venue  freq\n",
      "0  Fast Food Restaurant  0.17\n",
      "1                  Park  0.08\n",
      "2           Flower Shop  0.08\n",
      "3          Liquor Store  0.08\n",
      "4           Pizza Place  0.08\n",
      "\n",
      "\n",
      "---- Cloverdale, Islington, Martin Grove, Princess Gardens, West Deane Park ----\n",
      "                venue  freq\n",
      "0         Pizza Place  0.25\n",
      "1   Convenience Store  0.12\n",
      "2  Mexican Restaurant  0.12\n",
      "3                Bank  0.12\n",
      "4                 Gym  0.12\n",
      "\n",
      "\n",
      "---- Commerce Court, Victoria Hotel ----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.10\n",
      "1        Hotel  0.06\n",
      "2         Café  0.05\n",
      "3   Restaurant  0.04\n",
      "4    Gastropub  0.04\n",
      "\n",
      "\n",
      "---- Davisville ----\n",
      "            venue  freq\n",
      "0    Dessert Shop  0.10\n",
      "1     Pizza Place  0.10\n",
      "2     Coffee Shop  0.07\n",
      "3  Sandwich Place  0.07\n",
      "4             Gym  0.05\n",
      "\n",
      "\n",
      "---- Davisville North ----\n",
      "            venue  freq\n",
      "0             Gym  0.09\n",
      "1     Yoga Studio  0.04\n",
      "2        Pharmacy  0.04\n",
      "3  Breakfast Spot  0.04\n",
      "4         Brewery  0.04\n",
      "\n",
      "\n",
      "---- Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West ----\n",
      "              venue  freq\n",
      "0               Pub  0.10\n",
      "1       Coffee Shop  0.10\n",
      "2      Skating Rink  0.10\n",
      "3  Sushi Restaurant  0.10\n",
      "4       Yoga Studio  0.05\n",
      "\n",
      "\n",
      "---- Del Ray, Keelesdale, Mount Dennis, Silverthorn ----\n",
      "                        venue  freq\n",
      "0  Construction & Landscaping   0.2\n",
      "1                  Playground   0.2\n",
      "2            Storage Facility   0.2\n",
      "3                 Coffee Shop   0.2\n",
      "4        Fast Food Restaurant   0.2\n",
      "\n",
      "\n",
      "---- Design Exchange, Toronto Dominion Centre ----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.13\n",
      "1         Café  0.08\n",
      "2        Hotel  0.07\n",
      "3   Restaurant  0.04\n",
      "4    Gastropub  0.03\n",
      "\n",
      "\n",
      "---- Don Mills North ----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1        Burger Joint  0.05\n",
      "2  Italian Restaurant  0.05\n",
      "3        Soccer Field  0.05\n",
      "4       Smoothie Shop  0.05\n",
      "\n",
      "\n",
      "---- Dorset Park, Scarborough Town Centre, Wexford Heights ----\n",
      "         venue  freq\n",
      "0       Bakery  0.33\n",
      "1         Park  0.33\n",
      "2    Wine Shop  0.17\n",
      "3  Coffee Shop  0.17\n",
      "4  Zoo Exhibit  0.00\n",
      "\n",
      "\n",
      "---- Dovercourt Village, Dufferin ----\n",
      "          venue  freq\n",
      "0           Bar  0.10\n",
      "1   Coffee Shop  0.10\n",
      "2        Bakery  0.08\n",
      "3          Café  0.06\n",
      "4  Cocktail Bar  0.04\n",
      "\n",
      "\n",
      "---- Downsview Central ----\n",
      "               venue  freq\n",
      "0       Home Service  0.29\n",
      "1      Moving Target  0.14\n",
      "2  Mobile Phone Shop  0.14\n",
      "3               Park  0.14\n",
      "4     Baseball Field  0.14\n",
      "\n",
      "\n",
      "---- Downsview Northwest ----\n",
      "                   venue  freq\n",
      "0          Grocery Store  0.07\n",
      "1            Pizza Place  0.07\n",
      "2   Fast Food Restaurant  0.07\n",
      "3  Vietnamese Restaurant  0.07\n",
      "4          Shopping Mall  0.07\n",
      "\n",
      "\n",
      "---- Downsview West ----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.10\n",
      "1   Grocery Store  0.05\n",
      "2  Discount Store  0.05\n",
      "3  Sandwich Place  0.05\n",
      "4   Big Box Store  0.05\n",
      "\n",
      "\n",
      "---- Downsview, North Park, Upwood Park ----\n",
      "                        venue  freq\n",
      "0           Convenience Store   0.2\n",
      "1  Construction & Landscaping   0.2\n",
      "2                Home Service   0.2\n",
      "3                      Bakery   0.2\n",
      "4                        Park   0.2\n",
      "\n",
      "\n",
      "---- East Birchmount Park, Ionview, Kennedy Park ----\n",
      "               venue  freq\n",
      "0  Convenience Store  0.25\n",
      "1     Discount Store  0.25\n",
      "2        Coffee Shop  0.25\n",
      "3   Department Store  0.25\n",
      "4        Music Venue  0.00\n",
      "\n",
      "\n",
      "---- East Toronto ----\n",
      "                venue  freq\n",
      "0      Sandwich Place  0.14\n",
      "1  Italian Restaurant  0.14\n",
      "2         Coffee Shop  0.14\n",
      "3                Park  0.14\n",
      "4  Athletics & Sports  0.14\n",
      "\n",
      "\n",
      "---- Emery, Humberlea ----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.29\n",
      "1            Park  0.14\n",
      "2  Discount Store  0.14\n",
      "3            Café  0.14\n",
      "4       Nightclub  0.14\n",
      "\n",
      "\n",
      "---- Fairview, Henry Farm, Oriole ----\n",
      "                  venue  freq\n",
      "0        Clothing Store  0.16\n",
      "1  Fast Food Restaurant  0.10\n",
      "2           Coffee Shop  0.07\n",
      "3         Women's Store  0.04\n",
      "4                Bakery  0.03\n",
      "\n",
      "\n",
      "---- First Canadian Place, Underground city ----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.14\n",
      "1                Hotel  0.08\n",
      "2                 Café  0.07\n",
      "3            Gastropub  0.03\n",
      "4  American Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Flemingdon Park, Don Mills South ----\n",
      "                 venue  freq\n",
      "0  Japanese Restaurant  0.08\n",
      "1       Science Museum  0.08\n",
      "2     Asian Restaurant  0.08\n",
      "3           Beer Store  0.08\n",
      "4                  Gym  0.08\n",
      "\n",
      "\n",
      "---- Forest Hill North, Forest Hill West ----\n",
      "            venue  freq\n",
      "0            Café   0.2\n",
      "1     Coffee Shop   0.1\n",
      "2       Bookstore   0.1\n",
      "3    Burger Joint   0.1\n",
      "4  Ice Cream Shop   0.1\n",
      "\n",
      "\n",
      "---- Glencairn ----\n",
      "                      venue  freq\n",
      "0      Fast Food Restaurant  0.18\n",
      "1             Grocery Store  0.18\n",
      "2             Metro Station  0.09\n",
      "3       Japanese Restaurant  0.09\n",
      "4  Mediterranean Restaurant  0.09\n",
      "\n",
      "\n",
      "---- Guildwood, Morningside, West Hill ----\n",
      "                  venue  freq\n",
      "0                  Park  0.29\n",
      "1                  Pool  0.14\n",
      "2     Indian Restaurant  0.14\n",
      "3   Fried Chicken Joint  0.14\n",
      "4  Gym / Fitness Center  0.14\n",
      "\n",
      "\n",
      "---- Harbord, University of Toronto ----\n",
      "         venue  freq\n",
      "0         Café  0.07\n",
      "1   Restaurant  0.06\n",
      "2  Coffee Shop  0.05\n",
      "3  Pizza Place  0.04\n",
      "4          Bar  0.04\n",
      "\n",
      "\n",
      "---- Harbourfront East, Toronto Islands, Union Station ----\n",
      "             venue  freq\n",
      "0             Café  0.29\n",
      "1  Harbor / Marina  0.14\n",
      "2             Park  0.14\n",
      "3             Pier  0.14\n",
      "4            Beach  0.14\n",
      "\n",
      "\n",
      "---- Harbourfront, Regent Park ----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.12\n",
      "1      Theater  0.06\n",
      "2       Bakery  0.06\n",
      "3         Café  0.04\n",
      "4   Restaurant  0.04\n",
      "\n",
      "\n",
      "---- High Park, The Junction South ----\n",
      "               venue  freq\n",
      "0  Convenience Store  0.09\n",
      "1               Park  0.07\n",
      "2               Café  0.07\n",
      "3                Bar  0.07\n",
      "4    Thai Restaurant  0.04\n",
      "\n",
      "\n",
      "---- Highland Creek, Rouge Hill, Port Union ----\n",
      "          venue  freq\n",
      "0           Bar   1.0\n",
      "1        Museum   0.0\n",
      "2   Opera House   0.0\n",
      "3        Office   0.0\n",
      "4  Noodle House   0.0\n",
      "\n",
      "\n",
      "---- Hillcrest Village ----\n",
      "                                      venue  freq\n",
      "0                                      Park  0.29\n",
      "1                      Fast Food Restaurant  0.14\n",
      "2                                    Bakery  0.14\n",
      "3  Residential Building (Apartment / Condo)  0.14\n",
      "4                                  Pharmacy  0.14\n",
      "\n",
      "\n",
      "---- Humber Bay Shores, Mimico South, New Toronto ----\n",
      "               venue  freq\n",
      "0               Park  0.14\n",
      "1      Grocery Store  0.10\n",
      "2  Convenience Store  0.10\n",
      "3       Skating Rink  0.05\n",
      "4     Breakfast Spot  0.05\n",
      "\n",
      "\n",
      "---- Humber Bay, King's Mill Park, Kingsway Park South East, Mimico NE, Old Mill South, The Queensway East, Royal York South East, Sunnylea ----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.19\n",
      "1      Sandwich Place  0.06\n",
      "2  Italian Restaurant  0.06\n",
      "3        Liquor Store  0.06\n",
      "4                Bank  0.06\n",
      "\n",
      "\n",
      "---- Humber Summit ----\n",
      "               venue  freq\n",
      "0  Electronics Store   1.0\n",
      "1        Zoo Exhibit   0.0\n",
      "2        Opera House   0.0\n",
      "3       Noodle House   0.0\n",
      "4          Nightclub   0.0\n",
      "\n",
      "\n",
      "---- Humewood-Cedarvale ----\n",
      "               venue  freq\n",
      "0  Convenience Store  0.14\n",
      "1              Trail  0.14\n",
      "2       Hockey Arena  0.14\n",
      "3      Grocery Store  0.14\n",
      "4      Deli / Bodega  0.14\n",
      "\n",
      "\n",
      "---- Islington Avenue ----\n",
      "               venue  freq\n",
      "0           Pharmacy  0.25\n",
      "1  Convenience Store  0.08\n",
      "2      Shopping Mall  0.08\n",
      "3      Grocery Store  0.08\n",
      "4               Bank  0.08\n",
      "\n",
      "\n",
      "---- Kingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips ----\n",
      "                 venue  freq\n",
      "0             Pharmacy   0.2\n",
      "1    Mobile Phone Shop   0.2\n",
      "2             Bus Line   0.2\n",
      "3  American Restaurant   0.2\n",
      "4          Coffee Shop   0.2\n",
      "\n",
      "\n",
      "---- Kingsway Park South West, Mimico NW, The Queensway West, Royal York South West, South of Bloor ----\n",
      "             venue  freq\n",
      "0    Burrito Place  0.12\n",
      "1              Gym  0.08\n",
      "2             Bank  0.04\n",
      "3    Grocery Store  0.04\n",
      "4  Thai Restaurant  0.04\n",
      "\n",
      "\n",
      "---- L'Amoreaux West ----\n",
      "                  venue  freq\n",
      "0              Pharmacy  0.13\n",
      "1  Fast Food Restaurant  0.13\n",
      "2    Chinese Restaurant  0.13\n",
      "3  Other Great Outdoors  0.07\n",
      "4         Grocery Store  0.07\n",
      "\n",
      "\n",
      "---- Lawrence Heights, Lawrence Manor ----\n",
      "              venue  freq\n",
      "0    Clothing Store  0.17\n",
      "1      Dessert Shop  0.05\n",
      "2  Toy / Game Store  0.03\n",
      "3        Restaurant  0.03\n",
      "4  Greek Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Lawrence Park ----\n",
      "         venue  freq\n",
      "0     Bus Line  0.14\n",
      "1         Park  0.14\n",
      "2         Café  0.14\n",
      "3  Coffee Shop  0.14\n",
      "4   Restaurant  0.14\n",
      "\n",
      "\n",
      "---- Leaside ----\n",
      "                    venue  freq\n",
      "0             Coffee Shop  0.10\n",
      "1       Electronics Store  0.06\n",
      "2     Sporting Goods Shop  0.06\n",
      "3  Furniture / Home Store  0.06\n",
      "4                 Brewery  0.04\n",
      "\n",
      "\n",
      "---- Little Portugal, Trinity ----\n",
      "                venue  freq\n",
      "0                 Bar  0.08\n",
      "1         Coffee Shop  0.05\n",
      "2          Restaurant  0.05\n",
      "3                Café  0.04\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "---- Maryvale, Wexford ----\n",
      "                       venue  freq\n",
      "0                 Hookah Bar   0.2\n",
      "1                Pizza Place   0.2\n",
      "2  Middle Eastern Restaurant   0.2\n",
      "3                Gas Station   0.2\n",
      "4               Burger Joint   0.2\n",
      "\n",
      "\n",
      "---- Moore Park, Summerhill East ----\n",
      "             venue  freq\n",
      "0             Park   0.4\n",
      "1    Grocery Store   0.2\n",
      "2              Gym   0.2\n",
      "3  Thai Restaurant   0.2\n",
      "4      Zoo Exhibit   0.0\n",
      "\n",
      "\n",
      "---- Newtonbrook, Willowdale ----\n",
      "                       venue  freq\n",
      "0          Korean Restaurant  0.12\n",
      "1  Middle Eastern Restaurant  0.12\n",
      "2                       Café  0.09\n",
      "3                Coffee Shop  0.09\n",
      "4        Fried Chicken Joint  0.03\n",
      "\n",
      "\n",
      "---- North Toronto West ----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.09\n",
      "1  Sporting Goods Shop  0.09\n",
      "2                 Café  0.09\n",
      "3       Clothing Store  0.09\n",
      "4           Restaurant  0.06\n",
      "\n",
      "\n",
      "---- Northwest ----\n",
      "              venue  freq\n",
      "0    Sandwich Place  0.17\n",
      "1       Coffee Shop  0.17\n",
      "2  Storage Facility  0.17\n",
      "3      Burger Joint  0.17\n",
      "4               Gym  0.17\n",
      "\n",
      "\n",
      "---- Northwood Park, York University ----\n",
      "                 venue  freq\n",
      "0  Japanese Restaurant  0.12\n",
      "1                  Bar  0.12\n",
      "2                 Bank  0.12\n",
      "3          Pizza Place  0.12\n",
      "4       Massage Studio  0.12\n",
      "\n",
      "\n",
      "---- Parkdale, Roncesvalles ----\n",
      "                         venue  freq\n",
      "0                  Coffee Shop  0.09\n",
      "1                       Bakery  0.06\n",
      "2  Eastern European Restaurant  0.04\n",
      "3             Sushi Restaurant  0.04\n",
      "4              Thai Restaurant  0.04\n",
      "\n",
      "\n",
      "---- Parkwoods ----\n",
      "                       venue  freq\n",
      "0          Food & Drink Shop  0.33\n",
      "1                       Park  0.33\n",
      "2                  Pet Store  0.33\n",
      "3  Middle Eastern Restaurant  0.00\n",
      "4         Miscellaneous Shop  0.00\n",
      "\n",
      "\n",
      "---- Queen's Park ----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.20\n",
      "1                 Café  0.08\n",
      "2       Sandwich Place  0.05\n",
      "3   Italian Restaurant  0.04\n",
      "4  Japanese Restaurant  0.04\n",
      "\n",
      "\n",
      "---- Rosedale ----\n",
      "           venue  freq\n",
      "0           Park   0.4\n",
      "1     Playground   0.2\n",
      "2  Grocery Store   0.2\n",
      "3    Candy Store   0.2\n",
      "4    Zoo Exhibit   0.0\n",
      "\n",
      "\n",
      "---- Roselawn ----\n",
      "              venue  freq\n",
      "0        Playground   0.4\n",
      "1            Garden   0.2\n",
      "2  Business Service   0.2\n",
      "3         Pet Store   0.2\n",
      "4       Zoo Exhibit   0.0\n",
      "\n",
      "\n",
      "---- Rouge, Malvern ----\n",
      "                        venue  freq\n",
      "0                 Zoo Exhibit  0.25\n",
      "1  Financial or Legal Service  0.25\n",
      "2        Fast Food Restaurant  0.25\n",
      "3  Construction & Landscaping  0.25\n",
      "4           Hotpot Restaurant  0.00\n",
      "\n",
      "\n",
      "---- Runnymede, Swansea ----\n",
      "              venue  freq\n",
      "0              Café  0.10\n",
      "1       Coffee Shop  0.08\n",
      "2            Bakery  0.05\n",
      "3       Pizza Place  0.05\n",
      "4  Sushi Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Ryerson, Garden District ----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.07\n",
      "1             Clothing Store  0.05\n",
      "2             Cosmetics Shop  0.04\n",
      "3  Middle Eastern Restaurant  0.04\n",
      "4                 Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Scarborough Village ----\n",
      "                  venue  freq\n",
      "0  Fast Food Restaurant  0.33\n",
      "1        Sandwich Place  0.22\n",
      "2         Train Station  0.11\n",
      "3         Big Box Store  0.11\n",
      "4     Indian Restaurant  0.11\n",
      "\n",
      "\n",
      "---- Silver Hills, York Mills ----\n",
      "           venue  freq\n",
      "0           Park   1.0\n",
      "1    Zoo Exhibit   0.0\n",
      "2  Moving Target   0.0\n",
      "3   Noodle House   0.0\n",
      "4      Nightclub   0.0\n",
      "\n",
      "\n",
      "---- St. James Town ----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1               Hotel  0.06\n",
      "2                Café  0.06\n",
      "3  Italian Restaurant  0.04\n",
      "4              Bakery  0.04\n",
      "\n",
      "\n",
      "---- Stn A PO Boxes 25 The Esplanade ----\n",
      "              venue  freq\n",
      "0       Coffee Shop  0.10\n",
      "1              Café  0.06\n",
      "2             Hotel  0.04\n",
      "3               Bar  0.04\n",
      "4  Sushi Restaurant  0.03\n",
      "\n",
      "\n",
      "---- Studio District ----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1                Café  0.05\n",
      "2  Italian Restaurant  0.05\n",
      "3               Diner  0.05\n",
      "4              Bakery  0.05\n",
      "\n",
      "\n",
      "---- The Annex, North Midtown, Yorkville ----\n",
      "                venue  freq\n",
      "0  Italian Restaurant  0.08\n",
      "1                Café  0.08\n",
      "2         Coffee Shop  0.08\n",
      "3      Sandwich Place  0.08\n",
      "4      History Museum  0.05\n",
      "\n",
      "\n",
      "---- The Beaches ----\n",
      "                 venue  freq\n",
      "0                  Pub  0.06\n",
      "1          Pizza Place  0.06\n",
      "2  Japanese Restaurant  0.06\n",
      "3                  Bar  0.06\n",
      "4                 Café  0.03\n",
      "\n",
      "\n",
      "---- The Beaches West, India Bazaar ----\n",
      "                venue  freq\n",
      "0                Park  0.08\n",
      "1                Café  0.05\n",
      "2              Bakery  0.05\n",
      "3  Italian Restaurant  0.05\n",
      "4             Brewery  0.05\n",
      "\n",
      "\n",
      "---- The Danforth West, Riverdale ----\n",
      "              venue  freq\n",
      "0  Greek Restaurant  0.13\n",
      "1    Ice Cream Shop  0.07\n",
      "2              Café  0.07\n",
      "3       Yoga Studio  0.03\n",
      "4   Bubble Tea Shop  0.03\n",
      "\n",
      "\n",
      "---- The Junction North, Runnymede ----\n",
      "                    venue  freq\n",
      "0                 Brewery  0.38\n",
      "1                    Park  0.25\n",
      "2      Athletics & Sports  0.12\n",
      "3             Coffee Shop  0.12\n",
      "4  Furniture / Home Store  0.12\n",
      "\n",
      "\n",
      "---- The Kingsway, Montgomery Road, Old Mill North ----\n",
      "               venue  freq\n",
      "0   Sushi Restaurant  0.07\n",
      "1     Breakfast Spot  0.07\n",
      "2  French Restaurant  0.07\n",
      "3       Burger Joint  0.07\n",
      "4   Toy / Game Store  0.04\n",
      "\n",
      "\n",
      "---- Thorncliffe Park ----\n",
      "               venue  freq\n",
      "0       Burger Joint  0.11\n",
      "1  Indian Restaurant  0.11\n",
      "2        Yoga Studio  0.06\n",
      "3     Discount Store  0.06\n",
      "4             Bridge  0.06\n",
      "\n",
      "\n",
      "---- Victoria Village ----\n",
      "                       venue  freq\n",
      "0  Middle Eastern Restaurant  0.14\n",
      "1      Portuguese Restaurant  0.14\n",
      "2                Pizza Place  0.14\n",
      "3          French Restaurant  0.14\n",
      "4                       Park  0.14\n",
      "\n",
      "\n",
      "---- Westmount ----\n",
      "                venue  freq\n",
      "0         Pizza Place  0.18\n",
      "1  Golf Driving Range  0.09\n",
      "2      Discount Store  0.09\n",
      "3         Supermarket  0.09\n",
      "4  Chinese Restaurant  0.09\n",
      "\n",
      "\n",
      "---- Weston ----\n",
      "                       venue  freq\n",
      "0              Train Station  0.15\n",
      "1                Coffee Shop  0.15\n",
      "2             Sandwich Place  0.08\n",
      "3  Middle Eastern Restaurant  0.08\n",
      "4                Pizza Place  0.08\n",
      "\n",
      "\n",
      "---- Willowdale South ----\n",
      "              venue  freq\n",
      "0       Coffee Shop  0.07\n",
      "1  Ramen Restaurant  0.05\n",
      "2       Pizza Place  0.05\n",
      "3              Café  0.05\n",
      "4    Sandwich Place  0.05\n",
      "\n",
      "\n",
      "---- Willowdale West ----\n",
      "                         venue  freq\n",
      "0                  Coffee Shop  0.15\n",
      "1                         Park  0.08\n",
      "2  Eastern European Restaurant  0.08\n",
      "3                Grocery Store  0.08\n",
      "4                       Bakery  0.08\n",
      "\n",
      "\n",
      "---- Woburn ----\n",
      "                  venue  freq\n",
      "0           Coffee Shop   0.4\n",
      "1                  Park   0.2\n",
      "2      Business Service   0.2\n",
      "3  Fast Food Restaurant   0.2\n",
      "4           Zoo Exhibit   0.0\n",
      "\n",
      "\n",
      "---- Woodbine Gardens, Parkview Hill ----\n",
      "                  venue  freq\n",
      "0  Fast Food Restaurant  0.10\n",
      "1               Brewery  0.10\n",
      "2           Pizza Place  0.10\n",
      "3          Home Service  0.10\n",
      "4            Restaurant  0.05\n",
      "\n",
      "\n",
      "---- Woodbine Heights ----\n",
      "            venue  freq\n",
      "0        Bus Line  0.06\n",
      "1     Pizza Place  0.06\n",
      "2     Coffee Shop  0.06\n",
      "3   Grocery Store  0.06\n",
      "4  Sandwich Place  0.06\n",
      "\n",
      "\n",
      "---- York Mills West ----\n",
      "           venue  freq\n",
      "0    Coffee Shop  0.16\n",
      "1     Restaurant  0.12\n",
      "2            Gym  0.12\n",
      "3  Burrito Place  0.04\n",
      "4           Bank  0.04\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "for hood in Scarborough_grouped['Neighborhood']:\n",
    "    print(\"---- \"+hood+\" ----\")\n",
    "    temp =Scarborough_grouped[Scarborough_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": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most Common venues near neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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",
       "      <th>0</th>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Print Shop</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agincourt North, L'Amoreaux East, Milliken, St...</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Elementary School</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Hardware Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                           Adelaide, King, Richmond           Coffee Shop   \n",
       "1                                          Agincourt    Chinese Restaurant   \n",
       "2  Agincourt North, L'Amoreaux East, Milliken, St...              Pharmacy   \n",
       "3  Albion Gardens, Beaumond Heights, Humbergate, ...         Grocery Store   \n",
       "4                             Alderwood, Long Branch     Convenience Store   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café                 Hotel             Gastropub   \n",
       "1         Shopping Mall           Pizza Place           Supermarket   \n",
       "2        Sandwich Place      Sushi Restaurant      Doner Restaurant   \n",
       "3                  Park        Sandwich Place        Discount Store   \n",
       "4                   Pub        Sandwich Place           Coffee Shop   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "0          Burger Joint      Asian Restaurant                          Bar   \n",
       "1      Sushi Restaurant        Breakfast Spot                   Print Shop   \n",
       "2            Donut Shop   Dumpling Restaurant  Eastern European Restaurant   \n",
       "3   Japanese Restaurant   Fried Chicken Joint                   Beer Store   \n",
       "4           Gas Station          Dance Studio                          Gym   \n",
       "\n",
       "      8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0                Restaurant   American Restaurant             Steakhouse  \n",
       "1  Mediterranean Restaurant           Coffee Shop                   Pool  \n",
       "2         Electronics Store     Elementary School   Ethiopian Restaurant  \n",
       "3            Hardware Store           Pizza Place   Fast Food Restaurant  \n",
       "4                  Pharmacy           Pizza Place     Falafel Restaurant  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\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",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = Scarborough_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(Scarborough_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(Scarborough_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### K-Means Clustering Approach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,\n",
       "       0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using K-Means to cluster neighborhood into 3 clusters\n",
    "Scarborough_grouped_clustering = Scarborough_grouped.drop('Neighborhood', 1)\n",
    "kmeans = KMeans(n_clusters=3, random_state=0).fit(Scarborough_grouped_clustering)\n",
    "kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.811525</td>\n",
       "      <td>-79.195517</td>\n",
       "      <td>0</td>\n",
       "      <td>Zoo Exhibit</td>\n",
       "      <td>Financial or Legal Service</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Filipino Restaurant</td>\n",
       "      <td>Field</td>\n",
       "      <td>Fish Market</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.785665</td>\n",
       "      <td>-79.158725</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Elementary School</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.765815</td>\n",
       "      <td>-79.175193</td>\n",
       "      <td>2</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.768369</td>\n",
       "      <td>-79.217590</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Park</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Elementary School</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.769688</td>\n",
       "      <td>-79.239440</td>\n",
       "      <td>0</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode      Borough                            Neighborhood   Latitude  \\\n",
       "0        M1B  Scarborough                          Rouge, Malvern  43.811525   \n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union  43.785665   \n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.765815   \n",
       "3        M1G  Scarborough                                  Woburn  43.768369   \n",
       "4        M1H  Scarborough                               Cedarbrae  43.769688   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0 -79.195517               0           Zoo Exhibit   \n",
       "1 -79.158725               0                   Bar   \n",
       "2 -79.175193               2                  Park   \n",
       "3 -79.217590               0           Coffee Shop   \n",
       "4 -79.239440               0           Flower Shop   \n",
       "\n",
       "        2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0  Financial or Legal Service  Fast Food Restaurant   \n",
       "1          Falafel Restaurant            Donut Shop   \n",
       "2        Gym / Fitness Center                  Pool   \n",
       "3        Fast Food Restaurant      Business Service   \n",
       "4          Athletics & Sports       Thai Restaurant   \n",
       "\n",
       "        4th Most Common Venue        5th Most Common Venue  \\\n",
       "0  Construction & Landscaping            Fish & Chips Shop   \n",
       "1         Dumpling Restaurant  Eastern European Restaurant   \n",
       "2         Fried Chicken Joint            Indian Restaurant   \n",
       "3                        Park                  Yoga Studio   \n",
       "4                        Bank                       Bakery   \n",
       "\n",
       "  6th Most Common Venue        7th Most Common Venue 8th Most Common Venue  \\\n",
       "0   Filipino Restaurant                        Field           Fish Market   \n",
       "1     Electronics Store            Elementary School  Ethiopian Restaurant   \n",
       "2    Athletics & Sports         Ethiopian Restaurant            Donut Shop   \n",
       "3   Dumpling Restaurant  Eastern European Restaurant     Electronics Store   \n",
       "4  Caribbean Restaurant             Hakka Restaurant     Indian Restaurant   \n",
       "\n",
       "         9th Most Common Venue       10th Most Common Venue  \n",
       "0               Farmers Market             Doner Restaurant  \n",
       "1                  Event Space                  Yoga Studio  \n",
       "2          Dumpling Restaurant  Eastern European Restaurant  \n",
       "3            Elementary School         Ethiopian Restaurant  \n",
       "4  Eastern European Restaurant            Electronics Store  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "Scarborough_merged =df_2.iloc[:16,:]\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "Scarborough_merged = Scarborough_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n",
    "Scarborough_merged.head()# check the last columns!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Map of Clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "kclusters = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['#8000ff', '#4856fb', '#10a2f0', '#2adddd', '#62fbc4', '#9cfba4', '#d4dd80', '#ffa256', '#ff562c', '#ff0000']\n"
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_8693d41d215b47e1b21e83534976fb7b = L.popup({"maxWidth": "100%"});

        
            var html_1caee6eb99254f5fae168f3261e4cffa = $(`<div id="html_1caee6eb99254f5fae168f3261e4cffa" style="width: 100.0%; height: 100.0%;">Rouge, Malvern Cluster 0</div>`)[0];
            popup_8693d41d215b47e1b21e83534976fb7b.setContent(html_1caee6eb99254f5fae168f3261e4cffa);
        

        circle_marker_93837c92545640208ff5e98a7b97eb44.bindPopup(popup_8693d41d215b47e1b21e83534976fb7b)
        ;

        
    
    
            var circle_marker_e9e95574cf0e45dea6f3c457ad64bfde = L.circleMarker(
                [43.78566500000005, -79.15872457299997],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_3564efce846a472cb79e49a37139b782 = L.popup({"maxWidth": "100%"});

        
            var html_642a65051d4a43e6bc0f3813803d0a0c = $(`<div id="html_642a65051d4a43e6bc0f3813803d0a0c" style="width: 100.0%; height: 100.0%;">Highland Creek, Rouge Hill, Port Union Cluster 0</div>`)[0];
            popup_3564efce846a472cb79e49a37139b782.setContent(html_642a65051d4a43e6bc0f3813803d0a0c);
        

        circle_marker_e9e95574cf0e45dea6f3c457ad64bfde.bindPopup(popup_3564efce846a472cb79e49a37139b782)
        ;

        
    
    
            var circle_marker_cc898cf7530541bb84e86444af6aa2f8 = L.circleMarker(
                [43.76581500000003, -79.17519294699997],
                {"bubblingMouseEvents": true, "color": "#4856fb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#4856fb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_c5670a7f25b04842bb968e274e3c55e1 = L.popup({"maxWidth": "100%"});

        
            var html_54fca495803e4359bbd8cc9984427183 = $(`<div id="html_54fca495803e4359bbd8cc9984427183" style="width: 100.0%; height: 100.0%;">Guildwood, Morningside, West Hill Cluster 2</div>`)[0];
            popup_c5670a7f25b04842bb968e274e3c55e1.setContent(html_54fca495803e4359bbd8cc9984427183);
        

        circle_marker_cc898cf7530541bb84e86444af6aa2f8.bindPopup(popup_c5670a7f25b04842bb968e274e3c55e1)
        ;

        
    
    
            var circle_marker_cd3b78c0cf644c48920922aab5cbdd88 = L.circleMarker(
                [43.768369121000035, -79.21758999999997],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_ce25330e753647c5856c4b17b4cf62d5 = L.popup({"maxWidth": "100%"});

        
            var html_b5c3b04fc81a40feb720b4ea71ce5bc7 = $(`<div id="html_b5c3b04fc81a40feb720b4ea71ce5bc7" style="width: 100.0%; height: 100.0%;">Woburn Cluster 0</div>`)[0];
            popup_ce25330e753647c5856c4b17b4cf62d5.setContent(html_b5c3b04fc81a40feb720b4ea71ce5bc7);
        

        circle_marker_cd3b78c0cf644c48920922aab5cbdd88.bindPopup(popup_ce25330e753647c5856c4b17b4cf62d5)
        ;

        
    
    
            var circle_marker_81ce81e7d1b148daab41ab856ed1d3f1 = L.circleMarker(
                [43.76968799900004, -79.23943999999995],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_641ac6f48a5d42c6bf60337ca3a91277 = L.popup({"maxWidth": "100%"});

        
            var html_4d0ae1cbc0ae4063846312100546fb3e = $(`<div id="html_4d0ae1cbc0ae4063846312100546fb3e" style="width: 100.0%; height: 100.0%;">Cedarbrae Cluster 0</div>`)[0];
            popup_641ac6f48a5d42c6bf60337ca3a91277.setContent(html_4d0ae1cbc0ae4063846312100546fb3e);
        

        circle_marker_81ce81e7d1b148daab41ab856ed1d3f1.bindPopup(popup_641ac6f48a5d42c6bf60337ca3a91277)
        ;

        
    
    
            var circle_marker_b819568bd7824a9fa1257e9ab893cdac = L.circleMarker(
                [43.74312500000008, -79.23174973599998],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_9f64faf2e0ed4360857adc9b61a6cb12 = L.popup({"maxWidth": "100%"});

        
            var html_515e0871995f4bb99ed1d25dd89b22e2 = $(`<div id="html_515e0871995f4bb99ed1d25dd89b22e2" style="width: 100.0%; height: 100.0%;">Scarborough Village Cluster 0</div>`)[0];
            popup_9f64faf2e0ed4360857adc9b61a6cb12.setContent(html_515e0871995f4bb99ed1d25dd89b22e2);
        

        circle_marker_b819568bd7824a9fa1257e9ab893cdac.bindPopup(popup_9f64faf2e0ed4360857adc9b61a6cb12)
        ;

        
    
    
            var circle_marker_ccaab8b178ea4a389b6830ed8042b331 = L.circleMarker(
                [43.72627568400003, -79.26362499999993],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_27d766fa07ef4b879bf40ba189ffa597 = L.popup({"maxWidth": "100%"});

        
            var html_b2a7bc6f05004be09908c02fd0f77e76 = $(`<div id="html_b2a7bc6f05004be09908c02fd0f77e76" style="width: 100.0%; height: 100.0%;">East Birchmount Park, Ionview, Kennedy Park Cluster 0</div>`)[0];
            popup_27d766fa07ef4b879bf40ba189ffa597.setContent(html_b2a7bc6f05004be09908c02fd0f77e76);
        

        circle_marker_ccaab8b178ea4a389b6830ed8042b331.bindPopup(popup_27d766fa07ef4b879bf40ba189ffa597)
        ;

        
    
    
            var circle_marker_3a8c5cc6307746c6b92ad1857c669a8b = L.circleMarker(
                [43.71305350000006, -79.28505499999994],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_96f6f7354373431eae3668643b99a106 = L.popup({"maxWidth": "100%"});

        
            var html_38e2db6d74be4dc89ce87f6bce488e5a = $(`<div id="html_38e2db6d74be4dc89ce87f6bce488e5a" style="width: 100.0%; height: 100.0%;">Clairlea, Golden Mile, Oakridge Cluster 0</div>`)[0];
            popup_96f6f7354373431eae3668643b99a106.setContent(html_38e2db6d74be4dc89ce87f6bce488e5a);
        

        circle_marker_3a8c5cc6307746c6b92ad1857c669a8b.bindPopup(popup_96f6f7354373431eae3668643b99a106)
        ;

        
    
    
            var circle_marker_e4ffc8bb5c514bd7a6fd3d1b7cd9af40 = L.circleMarker(
                [43.724234575000025, -79.22792499999997],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_04513a0144c14c2a83e1b06ce109aec1 = L.popup({"maxWidth": "100%"});

        
            var html_f3c85fb062834113ab1e3a0c94f5731a = $(`<div id="html_f3c85fb062834113ab1e3a0c94f5731a" style="width: 100.0%; height: 100.0%;">Cliffcrest, Cliffside, Scarborough Village West Cluster 0</div>`)[0];
            popup_04513a0144c14c2a83e1b06ce109aec1.setContent(html_f3c85fb062834113ab1e3a0c94f5731a);
        

        circle_marker_e4ffc8bb5c514bd7a6fd3d1b7cd9af40.bindPopup(popup_04513a0144c14c2a83e1b06ce109aec1)
        ;

        
    
    
            var circle_marker_09587b9042874f75af85e5529014271b = L.circleMarker(
                [43.69677000000007, -79.25996735299998],
                {"bubblingMouseEvents": true, "color": "#4856fb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#4856fb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_d5ee2f83386545fa885b329cf17e0b26 = L.popup({"maxWidth": "100%"});

        
            var html_620eda335b184528bea1b8ca76d5d120 = $(`<div id="html_620eda335b184528bea1b8ca76d5d120" style="width: 100.0%; height: 100.0%;">Birch Cliff, Cliffside West Cluster 2</div>`)[0];
            popup_d5ee2f83386545fa885b329cf17e0b26.setContent(html_620eda335b184528bea1b8ca76d5d120);
        

        circle_marker_09587b9042874f75af85e5529014271b.bindPopup(popup_d5ee2f83386545fa885b329cf17e0b26)
        ;

        
    
    
            var circle_marker_ae950e5df71d4faca67883a21f77f094 = L.circleMarker(
                [43.759975000000054, -79.26897418299995],
                {"bubblingMouseEvents": true, "color": "#4856fb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#4856fb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_72a82bf6d7b54eaf9646a8615b74fdc0 = L.popup({"maxWidth": "100%"});

        
            var html_60b5527613f34070adfaeb8e3434af7f = $(`<div id="html_60b5527613f34070adfaeb8e3434af7f" style="width: 100.0%; height: 100.0%;">Dorset Park, Scarborough Town Centre, Wexford Heights Cluster 2</div>`)[0];
            popup_72a82bf6d7b54eaf9646a8615b74fdc0.setContent(html_60b5527613f34070adfaeb8e3434af7f);
        

        circle_marker_ae950e5df71d4faca67883a21f77f094.bindPopup(popup_72a82bf6d7b54eaf9646a8615b74fdc0)
        ;

        
    
    
            var circle_marker_c19199f4ccd74deb9b4d1dc4102ab012 = L.circleMarker(
                [43.750710464000065, -79.30055999999996],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_0e7d077c01f44ceda5574850620c0b1b = L.popup({"maxWidth": "100%"});

        
            var html_787a7509b2bb4c6dabb3608ab6ae3a84 = $(`<div id="html_787a7509b2bb4c6dabb3608ab6ae3a84" style="width: 100.0%; height: 100.0%;">Maryvale, Wexford Cluster 0</div>`)[0];
            popup_0e7d077c01f44ceda5574850620c0b1b.setContent(html_787a7509b2bb4c6dabb3608ab6ae3a84);
        

        circle_marker_c19199f4ccd74deb9b4d1dc4102ab012.bindPopup(popup_0e7d077c01f44ceda5574850620c0b1b)
        ;

        
    
    
            var circle_marker_10333edbb2d142548e62284e1aff0762 = L.circleMarker(
                [43.79394000000008, -79.26797613999997],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_8444f59174c3461c83960b1b0665f91f = L.popup({"maxWidth": "100%"});

        
            var html_00883aa4dc5441a48af8c985df1ae7b1 = $(`<div id="html_00883aa4dc5441a48af8c985df1ae7b1" style="width: 100.0%; height: 100.0%;">Agincourt Cluster 0</div>`)[0];
            popup_8444f59174c3461c83960b1b0665f91f.setContent(html_00883aa4dc5441a48af8c985df1ae7b1);
        

        circle_marker_10333edbb2d142548e62284e1aff0762.bindPopup(popup_8444f59174c3461c83960b1b0665f91f)
        ;

        
    
    
            var circle_marker_b655371f646f4e4480d77bea08a1ba0b = L.circleMarker(
                [43.78472500000004, -79.29906603299997],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_9397650e9cc54c17ac80a102cba1748c = L.popup({"maxWidth": "100%"});

        
            var html_ebeb57fe06244ac9ba75e25766baa797 = $(`<div id="html_ebeb57fe06244ac9ba75e25766baa797" style="width: 100.0%; height: 100.0%;">Clarks Corners, Sullivan, Tam O&#39;Shanter Cluster 0</div>`)[0];
            popup_9397650e9cc54c17ac80a102cba1748c.setContent(html_ebeb57fe06244ac9ba75e25766baa797);
        

        circle_marker_b655371f646f4e4480d77bea08a1ba0b.bindPopup(popup_9397650e9cc54c17ac80a102cba1748c)
        ;

        
    
    
            var circle_marker_09b3d1d1341f4b40a07681e09095a200 = L.circleMarker(
                [43.81768500000004, -79.28018721399997],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_31bf6d84f32d44c5b59cd6e98576ad59 = L.popup({"maxWidth": "100%"});

        
            var html_7d49db2b4abe417faab038614e29b06c = $(`<div id="html_7d49db2b4abe417faab038614e29b06c" style="width: 100.0%; height: 100.0%;">Agincourt North, L&#39;Amoreaux East, Milliken, Steeles East Cluster 0</div>`)[0];
            popup_31bf6d84f32d44c5b59cd6e98576ad59.setContent(html_7d49db2b4abe417faab038614e29b06c);
        

        circle_marker_09b3d1d1341f4b40a07681e09095a200.bindPopup(popup_31bf6d84f32d44c5b59cd6e98576ad59)
        ;

        
    
    
            var circle_marker_8e6d0777d96f43d7ad2886799ae6c810 = L.circleMarker(
                [43.80088292800008, -79.32073999999994],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3c0bc10d734c46c2bbd4fd75ffb0b312);
        
    
        var popup_77e16f3b11a84bef909b2b71a2414f6d = L.popup({"maxWidth": "100%"});

        
            var html_be58fada950a4740b82301ae0438683f = $(`<div id="html_be58fada950a4740b82301ae0438683f" style="width: 100.0%; height: 100.0%;">L&#39;Amoreaux West Cluster 0</div>`)[0];
            popup_77e16f3b11a84bef909b2b71a2414f6d.setContent(html_be58fada950a4740b82301ae0438683f);
        

        circle_marker_8e6d0777d96f43d7ad2886799ae6c810.bindPopup(popup_77e16f3b11a84bef909b2b71a2414f6d)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f2424441128>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude_x, longitude_y], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, kclusters))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "print(rainbow)\n",
    "# add markers to the map\n",
    "\n",
    "markers_colors = []\n",
    "for lat, lon, nei , cluster in zip(Scarborough_merged['Latitude'], \n",
    "                                   Scarborough_merged['Longitude'], \n",
    "                                   Scarborough_merged['Neighborhood'], \n",
    "                                   Scarborough_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(nei) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1=Scarborough_merged.loc[Scarborough_merged['Cluster Labels'] == 0,Scarborough_merged.columns[[2] + list(range(5, Scarborough_merged.shape[1]))]]\n",
    "df2=Scarborough_merged.loc[Scarborough_merged['Cluster Labels'] == 1,Scarborough_merged.columns[[2] + list(range(5, Scarborough_merged.shape[1]))]]\n",
    "df3=Scarborough_merged.loc[Scarborough_merged['Cluster Labels'] == 2,Scarborough_merged.columns[[2] + list(range(5, Scarborough_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "Scarborough_Avg_HousingPrice=pd.DataFrame({\"Neighborhood\":df_2[\"Neighborhood\"],\n",
    "                                      \"Average_Housing_Price\":[335000.0,286600.0,175000.0,225900.0,219400.0,\n",
    "                                                               573900.0,225000.0,370500.0,370500.0,433500.0,279200.0,\n",
    "                                                               279200.0,225000.0,370500.,255400.0,433500.0,433500.0,\n",
    "                                                               435000.0,289500.0,265000.0,285900.0,239400.0,\n",
    "                                                               589900.0,295000.0,380500.0,378500.0,438500.0,229200.0,\n",
    "                                                               229200.0,365000.0,388500.,285400.0,493500.0,477500.0,378000.0,316600.0,195000.0,225900.0,219400.0,\n",
    "                                                               573900.0,367000.0,370500.0,370500.0,363500.0,279200.0,\n",
    "                                                               279200.0,271000.0,370500.,255400.0,383500.0,433500.0,335000.0,286600.0,185000.0,225900.0,219400.0,\n",
    "                                                               573900.0,329000.0,370500.0,370500.0,533500.0,279200.0,\n",
    "                                                               279200.0,375000.0,370500.,255400.0,493500.0,433500.0,335000.0,286600.0,165000.0,225900.0,219400.0,\n",
    "                                                               573900.0,425000.0,370500.0,370500.0,433500.0,279200.0,\n",
    "                                                               279200.0,195000.0,370500.,255400.0,403500.0,433500.0,335000.0,286600.0,187000.0,225900.0,219400.0,\n",
    "                                                               573900.0,325000.0,370500.0,370500.0,333500.0,279200.0,\n",
    "                                                               279200.0,289000.0,370500.,255400.0,413500.0,433500.0,254800.0\n",
    "                                                              \n",
    "                                                              \n",
    "                                                              ]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "Scarborough_Avg_HousingPrice.set_index('Neighborhood',inplace=True,drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f24243f3320>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Scarborough_Avg_HousingPrice.plot(kind='bar',figsize=(24,18),alpha=0.75)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### School Rating by Clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "clusters=pd.DataFrame({\"Cluster1\":df1[\"Neighborhood\"],\n",
    "                      \"Cluster2\":df2[\"Neighborhood\"],\n",
    "                      \"Cluster4\":df3[\"Neighborhood\"]})\n",
    "clusters = clusters.replace(np.nan, '', regex=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_Scarborough=Scarborough_merged.set_index(\"Neighborhood\",drop=True)\n",
    "#Source:https://www.greatschools.org\n",
    "Scarborough_school_ratings=pd.DataFrame({\"Neighborhood\":df[\"Neighborhood\"],\n",
    "                                      \"Top School Rating\":[7,9,5,8,10,10,7,10,1,2,1,2,7,2,3,2,6,\n",
    "                                                           5,4,8,9,9,6,6,4,5,4,6,8,10,8,9,6,2,\n",
    "                                                           10,2,5,8,9,6,6,10,8,9,1,2,3,4,5,6,9,\n",
    "                                                           8,5,9,6,9,6,4,8,10,2,5,6,3,9,8,7,\n",
    "                                                           7,8,5,8,9,1,5,4,7,2,3,6,6,9,4,8,7,\n",
    "                                                           4,8,9,2,6,4,7,5,10,4,6,8,9,7,5,6,5,8,7\n",
    "                                                           ]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "Scarborough_school_ratings.set_index('Neighborhood',inplace=True,drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Scarborough_school_ratings.plot(kind='bar',figsize=(16,10),color='green',alpha=0.75);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conclusion: In this project, using k-means cluster algorithm I separated the neighborhood into 10(Ten) different clusters and for 103 different lattitude and logitude from dataset, which have very-similar neighborhoods around them. Using the charts above results presented to a particular neighborhood based on average house prices and school rating have been made."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}