project_file_week_2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Capstone Project: The Battle of the Neighborhoods\n",
    "## YogaBear: mindful beginning, one day at a time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Background\n",
    "**YogaBear** is a Chinese yoga company that has been very succesful in mainland China. Over the past 10 years, the company have grown from one small yoga studio in Shanghai to over 200 studios spread across China. On the back of this domestic success, they begin to set their eyes on overseas market.\n",
    "\n",
    "Their initial research has brought them to two of the biggest cities in North America, namely New York and Toronto.\n",
    "\n",
    "(1) **New York**, the most populous city in the United States (US) with an estimated population of 8,398,748 as of 2018, is the most densely populated major city in the US. A global power city, New York has been described as the cultural, financial, and media capital of the world, and exerts a significant impact upon education, tourism, art, fashion, and sports.\n",
    "\n",
    "(2) **Toronto**, the provincial capital of Ontario, is the most populous city in Canada with a population of 2,731,571 as of 2016. Like New York, it is also an international centre of business, finance, arts, and culture, and is recognized as one of the most multicultural and cosmopolitan cities in the world.\n",
    "\n",
    "Because both are major metropolitans with extremely high cost of doing business, any new business venture in these cities deserve a proper and careful analysis. In this project, we are going to do an analysis to assess the prospect of opening a yoga studio there. The insights derived from our analysis will help YogaBear decide which city will be the right market to go into as their first major overseas investment. *So, without further ado, let's get into it.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Critical Success Factors\n",
    "The practice of yoga has experienced an exponential growth over the past couple of decades and it continues to attract more and more people. Naturally, as more and more people practice yoga, more and more yoga studios are opening. However, opening a yoga studio is not without its challenges. Good location, good surrounding venues, the competition and the ability to maintain and expand student base are all very important factors. \n",
    "\n",
    "**(1) The competition - who’s around the corner?**  \n",
    "It is common sense to check the competition before going into any market. The point being that it is a good practice to scope out areas where the competition is already established. What is the point of opening a new studio if the market is already oversaturated by the existing players in the area. Bottom line is: research your market, avoid competition if possible, then open with a big bang to quickly establish yourself as the main player in the area.\n",
    "\n",
    "**(2) Good location - where should we go?**  \n",
    "Whenever you want to open a new shop (in this case, a yoga studio), it makes sense to pick a good location. Based on their experience in China, it is always good practice to open the first studio in the CBD area. If this becomes successful, it will usually become easier for them to open new studios in other areas in the city.\n",
    "\n",
    "**(3) Good surrounding venues - who is around us?**  \n",
    "In China, yoga studios go hand in hand with parks and coffee shops. Having a *park* nearby is apparently an important success factor for a yoga studio. People often like to do yoga outdoor, and having a public park nearby means they can do so conveniently. Surprisingly, it is also important to have *coffee shops or cafe* nearby. Usually, people who like to drink coffee tend to live a high pace life and this sometimes can be a very stressful life. YogaBear found that these people tend to benefit the most and are more likely to sign up to yoga than others.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Data\n",
    "In this project, we will be using the New York dataset and the Toronto data set from the Wikipedia page to obtain neighborhoods information about New York and Toronto. For Toronto, we will also use the latitude and longitude data in the Geospatial_Coordinates.csv file to complement our data. For this project, we will focus our analysis on the CBD areas in Manhattan and Toronto. \n",
    "\n",
    "Then, we will use the Foursquare location data to locate nearby venues information. We will check the most common venues, the least common venues, how many yoga studios already exist in the areas, how many parks, coffee shops and cafes in those areas. Based on our analysis we will then decide which city will be the right market to go into as YogaBear's first major investment overseas. We will also use charts and maps to plot our analysis and proposed locations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing the required libraries\n",
    "Now, let's get started and import all the necessary libraries for our project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np # library to handle data in a vectorized manner\n",
    "\n",
    "import pandas as pd # library for data analsysis\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "import json # library to handle JSON files\n",
    "\n",
    "#!conda install -c conda-forge geopy --yes # uncomment this line if you haven't installed this before\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "import seaborn as sns\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't installed this before\n",
    "import folium # map rendering library\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download and pre-process the New York city data\n",
    "In this section, we will download the New York dataset and then pre-process the data into a pandas dataframe that includes neighborhoods in Manhattan, including their latitudes and longitudes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data downloaded!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'wget' is not recognized as an internal or external command,\n",
      "operable program or batch file.\n"
     ]
    }
   ],
   "source": [
    "# use wget to download the new_york_dataset\n",
    "!wget -q -O 'newyork_data.json' https://cocl.us/new_york_dataset\n",
    "print('Data downloaded!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the new_york_dataset as json data\n",
    "with open('newyork_data.json') as json_data:\n",
    "    newyork_data = json.load(json_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 'Feature',\n",
       " 'id': 'nyu_2451_34572.1',\n",
       " 'geometry': {'type': 'Point',\n",
       "  'coordinates': [-73.84720052054902, 40.89470517661]},\n",
       " 'geometry_name': 'geom',\n",
       " 'properties': {'name': 'Wakefield',\n",
       "  'stacked': 1,\n",
       "  'annoline1': 'Wakefield',\n",
       "  'annoline2': None,\n",
       "  'annoline3': None,\n",
       "  'annoangle': 0.0,\n",
       "  'borough': 'Bronx',\n",
       "  'bbox': [-73.84720052054902,\n",
       "   40.89470517661,\n",
       "   -73.84720052054902,\n",
       "   40.89470517661]}}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the downloaded data\n",
    "neighborhoods_data = newyork_data['features']\n",
    "neighborhoods_data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a base dataframe to store our New York dataset\n",
    "# define the dataframe columns\n",
    "column_names = ['Borough', 'Neighborhood', 'Latitude', 'Longitude'] \n",
    "\n",
    "# instantiate the dataframe\n",
    "ny_df = pd.DataFrame(columns=column_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# append the New York dataset into our dataframe\n",
    "for data in neighborhoods_data:\n",
    "    borough = neighborhood_name = data['properties']['borough'] \n",
    "    neighborhood_name = data['properties']['name']\n",
    "        \n",
    "    neighborhood_latlon = data['geometry']['coordinates']\n",
    "    neighborhood_lat = neighborhood_latlon[1]\n",
    "    neighborhood_lon = neighborhood_latlon[0]\n",
    "    \n",
    "    ny_df = ny_df.append({'Borough': borough,\n",
    "                        'Neighborhood': neighborhood_name,\n",
    "                        'Latitude': neighborhood_lat,\n",
    "                        'Longitude': neighborhood_lon}, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>Wakefield</td>\n",
       "      <td>40.894705</td>\n",
       "      <td>-73.847201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>Co-op City</td>\n",
       "      <td>40.874294</td>\n",
       "      <td>-73.829939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>Eastchester</td>\n",
       "      <td>40.887556</td>\n",
       "      <td>-73.827806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>Fieldston</td>\n",
       "      <td>40.895437</td>\n",
       "      <td>-73.905643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>Riverdale</td>\n",
       "      <td>40.890834</td>\n",
       "      <td>-73.912585</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Borough Neighborhood   Latitude  Longitude\n",
       "0   Bronx    Wakefield  40.894705 -73.847201\n",
       "1   Bronx   Co-op City  40.874294 -73.829939\n",
       "2   Bronx  Eastchester  40.887556 -73.827806\n",
       "3   Bronx    Fieldston  40.895437 -73.905643\n",
       "4   Bronx    Riverdale  40.890834 -73.912585"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the head of the dataframe\n",
    "ny_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.910660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>40.715618</td>\n",
       "      <td>-73.994279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Washington Heights</td>\n",
       "      <td>40.851903</td>\n",
       "      <td>-73.936900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Inwood</td>\n",
       "      <td>40.867684</td>\n",
       "      <td>-73.921210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>40.823604</td>\n",
       "      <td>-73.949688</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Borough        Neighborhood   Latitude  Longitude\n",
       "0  Manhattan         Marble Hill  40.876551 -73.910660\n",
       "1  Manhattan           Chinatown  40.715618 -73.994279\n",
       "2  Manhattan  Washington Heights  40.851903 -73.936900\n",
       "3  Manhattan              Inwood  40.867684 -73.921210\n",
       "4  Manhattan    Hamilton Heights  40.823604 -73.949688"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filter to include Manhattan area only\n",
    "manhattan_data = ny_df[ny_df['Borough'] == 'Manhattan'].reset_index(drop=True)\n",
    "manhattan_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(40, 4)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now let's quickly check the shape of our data\n",
    "manhattan_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download and pre-process the Toronto data\n",
    "In this section, we will obtain the Toronto dataset from the Wikipedia webpage and then pre-process the data into a pandas dataframe that includes neighborhoods in Toronto. Because the latitudes and longitudes data are not available in the Wikipedia page, we will use the Geospatial_Coordinates.csv to get the latitudes and longitudes data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough                     Neighbourhood   Latitude  \\\n",
       "0      M3A        North York                         Parkwoods  43.753259   \n",
       "1      M4A        North York                  Victoria Village  43.725882   \n",
       "2      M5A  Downtown Toronto                      Harbourfront  43.654260   \n",
       "3      M6A        North York  Lawrence Heights, Lawrence Manor  43.718518   \n",
       "4      M7A  Downtown Toronto                      Queen's Park  43.662301   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.329656  \n",
       "1 -79.315572  \n",
       "2 -79.360636  \n",
       "3 -79.464763  \n",
       "4 -79.389494  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# getting the table from the Wikipedia page\n",
    "url = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "df = pd.read_html(url)\n",
    "\n",
    "# create a panda dataframe containing the postcode, borough and neighborhood\n",
    "df = df[0]\n",
    "\n",
    "# drop any cells with a borough that is Not assigned\n",
    "df = df.drop(df[df['Borough']=='Not assigned'].index,axis=0)\n",
    "\n",
    "# Combine more than one neighborhood that exist in one postal code area\n",
    "df[\"Neighbourhood\"] = df.groupby(\"Postcode\")[\"Neighbourhood\"].transform(lambda neighbour: ', '.join(neighbour))\n",
    "\n",
    "#remove duplicate rows\n",
    "df = df.drop_duplicates()\n",
    "\n",
    "# reset the index\n",
    "df = df.reset_index()\n",
    "del df['index']\n",
    "\n",
    "# Replace 'Not assigned' neighborhood with the borough name\n",
    "df['Neighbourhood'] = df['Neighbourhood'].replace(\"Not assigned\", df[\"Borough\"])\n",
    "\n",
    "# read the Geospatial_Coordinates.csv as a pandas dataframe to get the Latitudes and Longitudes\n",
    "df_coord = pd.read_csv('Geospatial_Coordinates.csv')\n",
    "\n",
    "# merge the Latitude and Longitude columns into our existing dataframe\n",
    "df2 = pd.merge(df,df_coord[['Postal Code','Latitude','Longitude']],left_on='Postcode',right_on='Postal Code',how='left')\n",
    "df2.drop(columns='Postal Code',inplace=True)\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Postcode</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",
       "      <td>0</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough              Neighborhood   Latitude  Longitude\n",
       "0      M5A  Downtown Toronto              Harbourfront  43.654260 -79.360636\n",
       "1      M7A  Downtown Toronto              Queen's Park  43.662301 -79.389494\n",
       "2      M5B  Downtown Toronto  Ryerson, Garden District  43.657162 -79.378937\n",
       "3      M5C  Downtown Toronto            St. James Town  43.651494 -79.375418\n",
       "4      M4E      East Toronto               The Beaches  43.676357 -79.293031"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter our dataframe to include only neighborhoods in Toronto\n",
    "toronto_df = df2[df2['Borough'].str.contains('Toronto')]\n",
    "toronto_df.columns = ['Postcode','Borough','Neighborhood','Latitude','Longitude']\n",
    "toronto_df = toronto_df.reset_index()\n",
    "del toronto_df['index']\n",
    "toronto_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 5)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's check the shape of our data\n",
    "toronto_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Venue analysis of both New York and Toronto\n",
    "In this section, we will obtain more location data for both Manhattan and Toronto, and then perform our analysis on the problem."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Credentials to access location data on foursquare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: LK12XC23RU5E4H2PBVOY5XCRAP4VCKSRVW5D3IZUCF1BSTS3\n",
      "CLIENT_SECRET:PWD0IYBE5HUF5LDEL54TRPEIRRK030HZ1DNFKULYJHGEPBGN\n"
     ]
    }
   ],
   "source": [
    "# Let's define the credentials for foursquare\n",
    "CLIENT_ID = 'LK12XC23RU5E4H2PBVOY5XCRAP4VCKSRVW5D3IZUCF1BSTS3' # your Foursquare ID\n",
    "CLIENT_SECRET = 'PWD0IYBE5HUF5LDEL54TRPEIRRK030HZ1DNFKULYJHGEPBGN' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a function to get nearby venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a function to get nearby venues within 500 meters\n",
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obtain nearby venues in Manhattan, New York for our analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Marble Hill\n",
      "Chinatown\n",
      "Washington Heights\n",
      "Inwood\n",
      "Hamilton Heights\n",
      "Manhattanville\n",
      "Central Harlem\n",
      "East Harlem\n",
      "Upper East Side\n",
      "Yorkville\n",
      "Lenox Hill\n",
      "Roosevelt Island\n",
      "Upper West Side\n",
      "Lincoln Square\n",
      "Clinton\n",
      "Midtown\n",
      "Murray Hill\n",
      "Chelsea\n",
      "Greenwich Village\n",
      "East Village\n",
      "Lower East Side\n",
      "Tribeca\n",
      "Little Italy\n",
      "Soho\n",
      "West Village\n",
      "Manhattan Valley\n",
      "Morningside Heights\n",
      "Gramercy\n",
      "Battery Park City\n",
      "Financial District\n",
      "Carnegie Hill\n",
      "Noho\n",
      "Civic Center\n",
      "Midtown South\n",
      "Sutton Place\n",
      "Turtle Bay\n",
      "Tudor City\n",
      "Stuyvesant Town\n",
      "Flatiron\n",
      "Hudson Yards\n"
     ]
    }
   ],
   "source": [
    "LIMIT = 100\n",
    "manhattan_venues = getNearbyVenues(names=manhattan_data['Neighborhood'],\n",
    "                                   latitudes=manhattan_data['Latitude'],\n",
    "                                   longitudes=manhattan_data['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3320, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.91066</td>\n",
       "      <td>Arturo's</td>\n",
       "      <td>40.874412</td>\n",
       "      <td>-73.910271</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.91066</td>\n",
       "      <td>Bikram Yoga</td>\n",
       "      <td>40.876844</td>\n",
       "      <td>-73.906204</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.91066</td>\n",
       "      <td>Tibbett Diner</td>\n",
       "      <td>40.880404</td>\n",
       "      <td>-73.908937</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.91066</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>40.877531</td>\n",
       "      <td>-73.905582</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.91066</td>\n",
       "      <td>Dunkin'</td>\n",
       "      <td>40.877136</td>\n",
       "      <td>-73.906666</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Neighborhood Latitude  Neighborhood Longitude          Venue  \\\n",
       "0  Marble Hill              40.876551               -73.91066       Arturo's   \n",
       "1  Marble Hill              40.876551               -73.91066    Bikram Yoga   \n",
       "2  Marble Hill              40.876551               -73.91066  Tibbett Diner   \n",
       "3  Marble Hill              40.876551               -73.91066      Starbucks   \n",
       "4  Marble Hill              40.876551               -73.91066        Dunkin'   \n",
       "\n",
       "   Venue Latitude  Venue Longitude Venue Category  \n",
       "0       40.874412       -73.910271    Pizza Place  \n",
       "1       40.876844       -73.906204    Yoga Studio  \n",
       "2       40.880404       -73.908937          Diner  \n",
       "3       40.877531       -73.905582    Coffee Shop  \n",
       "4       40.877136       -73.906666     Donut Shop  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's quickly check the shape of our data\n",
    "print(manhattan_venues.shape)\n",
    "manhattan_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# analyse each neighborhood\n",
    "# one hot encoding\n",
    "manhattan_onehot = pd.get_dummies(manhattan_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "manhattan_onehot['Neighborhood'] = manhattan_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [manhattan_onehot.columns[-1]] + list(manhattan_onehot.columns[:-1])\n",
    "manhattan_onehot = manhattan_onehot[fixed_columns]\n",
    "\n",
    "# group rows by neighborhood and by taking the mean of the frequency of occurrence of each category\n",
    "manhattan_grouped = manhattan_onehot.groupby('Neighborhood').mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>African Restaurant</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Arcade</th>\n",
       "      <th>Arepa Restaurant</th>\n",
       "      <th>Argentinian Restaurant</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>Auditorium</th>\n",
       "      <th>Australian Restaurant</th>\n",
       "      <th>Austrian Restaurant</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 Court</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Garden</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Big Box Store</th>\n",
       "      <th>Bike Rental / Bike Share</th>\n",
       "      <th>Bike Shop</th>\n",
       "      <th>Bike Trail</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Board Shop</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Bridal Shop</th>\n",
       "      <th>Bridge</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Bus Station</th>\n",
       "      <th>Bus Stop</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Cafeteria</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</th>\n",
       "      <th>Cambodian Restaurant</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Caucasian Restaurant</th>\n",
       "      <th>Check Cashing Service</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Christmas Market</th>\n",
       "      <th>Circus</th>\n",
       "      <th>Climbing Gym</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Club House</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Academic Building</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Bookstore</th>\n",
       "      <th>College Cafeteria</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Theater</th>\n",
       "      <th>Comedy Club</th>\n",
       "      <th>Community Center</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Cooking School</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Cultural Center</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Cycle Studio</th>\n",
       "      <th>Czech Restaurant</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Daycare</th>\n",
       "      <th>Deli / Bodega</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>Discount Store</th>\n",
       "      <th>Dive Bar</th>\n",
       "      <th>Doctor's Office</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Drugstore</th>\n",
       "      <th>Dry Cleaner</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Duty-free Shop</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Empanada Restaurant</th>\n",
       "      <th>English Restaurant</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Exhibit</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Stand</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>Garden Center</th>\n",
       "      <th>Gas Station</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>German Restaurant</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Golf Course</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>Gymnastics Gym</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>Heliport</th>\n",
       "      <th>Herbs &amp; Spices Store</th>\n",
       "      <th>High School</th>\n",
       "      <th>Himalayan Restaurant</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hobby Shop</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>Indie Theater</th>\n",
       "      <th>Irish Pub</th>\n",
       "      <th>Israeli Restaurant</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Curry 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>Kebab Restaurant</th>\n",
       "      <th>Kids Store</th>\n",
       "      <th>Kitchen Supply Store</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Kosher Restaurant</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Laundry Service</th>\n",
       "      <th>Leather Goods Store</th>\n",
       "      <th>Lebanese Restaurant</th>\n",
       "      <th>Library</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Malay Restaurant</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts Dojo</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Medical Center</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Memorial Site</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Mini Golf</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>Moroccan Restaurant</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music School</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>Nail Salon</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Newsstand</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Non-Profit</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>Outdoor Sculpture</th>\n",
       "      <th>Outdoors &amp; Recreation</th>\n",
       "      <th>Paella Restaurant</th>\n",
       "      <th>Paper / Office Supplies Store</th>\n",
       "      <th>Park</th>\n",
       "      <th>Pedestrian Plaza</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Persian Restaurant</th>\n",
       "      <th>Peruvian Restaurant</th>\n",
       "      <th>Pet Café</th>\n",
       "      <th>Pet Service</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Photography Studio</th>\n",
       "      <th>Physical Therapist</th>\n",
       "      <th>Piano Bar</th>\n",
       "      <th>Pie Shop</th>\n",
       "      <th>Pilates Studio</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Public Art</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Recreation Center</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Residential Building (Apartment / Condo)</th>\n",
       "      <th>Resort</th>\n",
       "      <th>Rest Area</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Rock Climbing Spot</th>\n",
       "      <th>Rock Club</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Russian Restaurant</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scandinavian Restaurant</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>School</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Shipping Store</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>Soba Restaurant</th>\n",
       "      <th>Soccer Field</th>\n",
       "      <th>Social Club</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>South American Restaurant</th>\n",
       "      <th>South Indian Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Spiritual Center</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Sports Club</th>\n",
       "      <th>Stables</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Street Art</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Swiss Restaurant</th>\n",
       "      <th>Szechuan Restaurant</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tapas Restaurant</th>\n",
       "      <th>Tattoo Parlor</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Tennis Stadium</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Tiki Bar</th>\n",
       "      <th>Tourist Information Center</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Turkish Restaurant</th>\n",
       "      <th>Udon Restaurant</th>\n",
       "      <th>Used Bookstore</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Venezuelan Restaurant</th>\n",
       "      <th>Veterinarian</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Volleyball Court</th>\n",
       "      <th>Waterfront</th>\n",
       "      <th>Weight Loss Center</th>\n",
       "      <th>Whisky Bar</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",
       "      <td>0</td>\n",
       "      <td>Battery Park City</td>\n",
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       "      <td>0.010309</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Carnegie Hill</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Central Harlem</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.068182</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.022727</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.045455</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.022727</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022727</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.090000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.050000</td>\n",
       "      <td>0.010000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.02</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.00</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.00</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
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       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Neighborhood  Accessories Store  Adult Boutique  Afghan Restaurant  \\\n",
       "0  Battery Park City                0.0             0.0                0.0   \n",
       "1      Carnegie Hill                0.0             0.0                0.0   \n",
       "2     Central Harlem                0.0             0.0                0.0   \n",
       "3            Chelsea                0.0             0.0                0.0   \n",
       "4          Chinatown                0.0             0.0                0.0   \n",
       "\n",
       "   African Restaurant  American Restaurant  Antique Shop  Arcade  \\\n",
       "0            0.000000             0.010309           0.0     0.0   \n",
       "1            0.000000             0.010000           0.0     0.0   \n",
       "2            0.045455             0.045455           0.0     0.0   \n",
       "3            0.000000             0.030000           0.0     0.0   \n",
       "4            0.000000             0.040000           0.0     0.0   \n",
       "\n",
       "   Arepa Restaurant  Argentinian Restaurant  Art Gallery  Art Museum  \\\n",
       "0               0.0                    0.00     0.000000        0.00   \n",
       "1               0.0                    0.01     0.000000        0.01   \n",
       "2               0.0                    0.00     0.045455        0.00   \n",
       "3               0.0                    0.00     0.030000        0.00   \n",
       "4               0.0                    0.00     0.000000        0.00   \n",
       "\n",
       "   Arts & Crafts Store  Asian Restaurant  Athletics & Sports  Auditorium  \\\n",
       "0                  0.0              0.00            0.010309    0.010309   \n",
       "1                  0.0              0.00            0.000000    0.000000   \n",
       "2                  0.0              0.00            0.000000    0.000000   \n",
       "3                  0.0              0.01            0.000000    0.000000   \n",
       "4                  0.0              0.02            0.000000    0.000000   \n",
       "\n",
       "   Australian Restaurant  Austrian Restaurant  BBQ Joint  Baby Store  \\\n",
       "0                    0.0                 0.00   0.020619         0.0   \n",
       "1                    0.0                 0.00   0.000000         0.0   \n",
       "2                    0.0                 0.00   0.022727         0.0   \n",
       "3                    0.0                 0.00   0.000000         0.0   \n",
       "4                    0.0                 0.01   0.000000         0.0   \n",
       "\n",
       "   Bagel Shop    Bakery  Bank       Bar  Baseball Field  Basketball Court  \\\n",
       "0    0.000000  0.010309  0.00  0.000000             0.0               0.0   \n",
       "1    0.010000  0.030000  0.01  0.020000             0.0               0.0   \n",
       "2    0.022727  0.000000  0.00  0.045455             0.0               0.0   \n",
       "3    0.010000  0.040000  0.00  0.010000             0.0               0.0   \n",
       "4    0.000000  0.030000  0.00  0.010000             0.0               0.0   \n",
       "\n",
       "   Bed & Breakfast  Beer Bar  Beer Garden  Beer Store  Big Box Store  \\\n",
       "0              0.0  0.000000     0.010309         0.0            0.0   \n",
       "1              0.0  0.000000     0.000000         0.0            0.0   \n",
       "2              0.0  0.022727     0.000000         0.0            0.0   \n",
       "3              0.0  0.010000     0.000000         0.0            0.0   \n",
       "4              0.0  0.000000     0.000000         0.0            0.0   \n",
       "\n",
       "   Bike Rental / Bike Share  Bike Shop  Bike Trail    Bistro  Board Shop  \\\n",
       "0                       0.0       0.00         0.0  0.010309         0.0   \n",
       "1                       0.0       0.00         0.0  0.000000         0.0   \n",
       "2                       0.0       0.00         0.0  0.000000         0.0   \n",
       "3                       0.0       0.00         0.0  0.000000         0.0   \n",
       "4                       0.0       0.01         0.0  0.000000         0.0   \n",
       "\n",
       "   Boat or Ferry  Bookstore  Boutique  Boxing Gym  Brazilian Restaurant  \\\n",
       "0       0.020619   0.000000  0.010309         0.0                   0.0   \n",
       "1       0.000000   0.030000  0.000000         0.0                   0.0   \n",
       "2       0.000000   0.022727  0.022727         0.0                   0.0   \n",
       "3       0.000000   0.020000  0.000000         0.0                   0.0   \n",
       "4       0.000000   0.010000  0.020000         0.0                   0.0   \n",
       "\n",
       "   Breakfast Spot  Bridal Shop  Bridge  Bubble Tea Shop  Building  \\\n",
       "0            0.00          0.0     0.0             0.00  0.010309   \n",
       "1            0.01          0.0     0.0             0.00  0.000000   \n",
       "2            0.00          0.0     0.0             0.00  0.000000   \n",
       "3            0.01          0.0     0.0             0.00  0.000000   \n",
       "4            0.00          0.0     0.0             0.01  0.000000   \n",
       "\n",
       "   Burger Joint  Burrito Place  Bus Station  Bus Stop  Butcher  Cafeteria  \\\n",
       "0      0.020619       0.010309          0.0       0.0     0.00   0.000000   \n",
       "1      0.010000       0.000000          0.0       0.0     0.00   0.000000   \n",
       "2      0.000000       0.000000          0.0       0.0     0.00   0.022727   \n",
       "3      0.000000       0.000000          0.0       0.0     0.01   0.000000   \n",
       "4      0.000000       0.000000          0.0       0.0     0.00   0.000000   \n",
       "\n",
       "       Café  Cajun / Creole Restaurant  Cambodian Restaurant  Camera Store  \\\n",
       "0  0.000000                        0.0                   0.0           0.0   \n",
       "1  0.040000                        0.0                   0.0           0.0   \n",
       "2  0.022727                        0.0                   0.0           0.0   \n",
       "3  0.010000                        0.0                   0.0           0.0   \n",
       "4  0.000000                        0.0                   0.0           0.0   \n",
       "\n",
       "   Candy Store  Caribbean Restaurant  Caucasian Restaurant  \\\n",
       "0     0.010309              0.000000                   0.0   \n",
       "1     0.000000              0.000000                   0.0   \n",
       "2     0.000000              0.022727                   0.0   \n",
       "3     0.000000              0.000000                   0.0   \n",
       "4     0.000000              0.000000                   0.0   \n",
       "\n",
       "   Check Cashing Service  Cheese Shop  Chinese Restaurant  Chocolate Shop  \\\n",
       "0                    0.0          0.0            0.010309             0.0   \n",
       "1                    0.0          0.0            0.010000             0.0   \n",
       "2                    0.0          0.0            0.068182             0.0   \n",
       "3                    0.0          0.0            0.010000             0.0   \n",
       "4                    0.0          0.0            0.090000             0.0   \n",
       "\n",
       "   Christmas Market  Circus  Climbing Gym  Clothing Store  Club House  \\\n",
       "0               0.0     0.0           0.0        0.030928         0.0   \n",
       "1               0.0     0.0           0.0        0.010000         0.0   \n",
       "2               0.0     0.0           0.0        0.000000         0.0   \n",
       "3               0.0     0.0           0.0        0.010000         0.0   \n",
       "4               0.0     0.0           0.0        0.000000         0.0   \n",
       "\n",
       "   Cocktail Bar  Coffee Shop  College Academic Building  \\\n",
       "0      0.000000     0.072165                        0.0   \n",
       "1      0.020000     0.070000                        0.0   \n",
       "2      0.022727     0.000000                        0.0   \n",
       "3      0.020000     0.060000                        0.0   \n",
       "4      0.050000     0.010000                        0.0   \n",
       "\n",
       "   College Arts Building  College Bookstore  College Cafeteria  College Gym  \\\n",
       "0                    0.0                0.0                0.0         0.00   \n",
       "1                    0.0                0.0                0.0         0.01   \n",
       "2                    0.0                0.0                0.0         0.00   \n",
       "3                    0.0                0.0                0.0         0.00   \n",
       "4                    0.0                0.0                0.0         0.00   \n",
       "\n",
       "   College Theater  Comedy Club  Community Center  Concert Hall  \\\n",
       "0             0.00          0.0              0.00          0.00   \n",
       "1             0.00          0.0              0.01          0.01   \n",
       "2             0.00          0.0              0.00          0.00   \n",
       "3             0.01          0.0              0.00          0.00   \n",
       "4             0.00          0.0              0.00          0.00   \n",
       "\n",
       "   Convenience Store  Cooking School  Cosmetics Shop  Coworking Space  \\\n",
       "0                0.0        0.010309        0.010309              0.0   \n",
       "1                0.0        0.000000        0.030000              0.0   \n",
       "2                0.0        0.000000        0.045455              0.0   \n",
       "3                0.0        0.000000        0.000000              0.0   \n",
       "4                0.0        0.000000        0.010000              0.0   \n",
       "\n",
       "   Creperie  Cuban Restaurant  Cultural Center  Cupcake Shop  Cycle Studio  \\\n",
       "0      0.00               0.0              0.0      0.010309      0.000000   \n",
       "1      0.00               0.0              0.0      0.000000      0.000000   \n",
       "2      0.00               0.0              0.0      0.000000      0.022727   \n",
       "3      0.01               0.0              0.0      0.020000      0.020000   \n",
       "4      0.00               0.0              0.0      0.000000      0.000000   \n",
       "\n",
       "   Czech Restaurant  Dance Studio  Daycare  Deli / Bodega  Department Store  \\\n",
       "0               0.0          0.00      0.0           0.00          0.010309   \n",
       "1               0.0          0.01      0.0           0.01          0.000000   \n",
       "2               0.0          0.00      0.0           0.00          0.000000   \n",
       "3               0.0          0.00      0.0           0.00          0.000000   \n",
       "4               0.0          0.00      0.0           0.00          0.000000   \n",
       "\n",
       "   Design Studio  Dessert Shop  Dim Sum Restaurant  Diner  Discount Store  \\\n",
       "0            0.0      0.010309                0.00   0.00             0.0   \n",
       "1            0.0      0.000000                0.00   0.00             0.0   \n",
       "2            0.0      0.022727                0.00   0.00             0.0   \n",
       "3            0.0      0.010000                0.00   0.00             0.0   \n",
       "4            0.0      0.020000                0.02   0.01             0.0   \n",
       "\n",
       "   Dive Bar  Doctor's Office  Dog Run  Donut Shop  Drugstore  Dry Cleaner  \\\n",
       "0       0.0              0.0      0.0         0.0        0.0          0.0   \n",
       "1       0.0              0.0      0.0         0.0        0.0          0.0   \n",
       "2       0.0              0.0      0.0         0.0        0.0          0.0   \n",
       "3       0.0              0.0      0.0         0.0        0.0          0.0   \n",
       "4       0.0              0.0      0.0         0.0        0.0          0.0   \n",
       "\n",
       "   Dumpling Restaurant  Duty-free Shop  Eastern European Restaurant  \\\n",
       "0                 0.00             0.0                          0.0   \n",
       "1                 0.00             0.0                          0.0   \n",
       "2                 0.00             0.0                          0.0   \n",
       "3                 0.00             0.0                          0.0   \n",
       "4                 0.02             0.0                          0.0   \n",
       "\n",
       "   Electronics Store  Empanada Restaurant  English Restaurant  \\\n",
       "0           0.010309                  0.0                0.00   \n",
       "1           0.000000                  0.0                0.00   \n",
       "2           0.000000                  0.0                0.00   \n",
       "3           0.010000                  0.0                0.00   \n",
       "4           0.000000                  0.0                0.01   \n",
       "\n",
       "   Ethiopian Restaurant  Event Space  Exhibit  Falafel Restaurant  \\\n",
       "0              0.000000     0.000000     0.00                 0.0   \n",
       "1              0.000000     0.000000     0.01                 0.0   \n",
       "2              0.022727     0.022727     0.00                 0.0   \n",
       "3              0.000000     0.000000     0.00                 0.0   \n",
       "4              0.000000     0.000000     0.00                 0.0   \n",
       "\n",
       "   Farmers Market  Fast Food Restaurant  Filipino Restaurant  Fish Market  \\\n",
       "0             0.0                  0.00                  0.0         0.00   \n",
       "1             0.0                  0.01                  0.0         0.00   \n",
       "2             0.0                  0.00                  0.0         0.00   \n",
       "3             0.0                  0.00                  0.0         0.01   \n",
       "4             0.0                  0.00                  0.0         0.00   \n",
       "\n",
       "   Flea Market  Flower Shop  Food & Drink Shop  Food Court  Food Stand  \\\n",
       "0         0.00          0.0                0.0    0.020619         0.0   \n",
       "1         0.00          0.0                0.0    0.000000         0.0   \n",
       "2         0.00          0.0                0.0    0.000000         0.0   \n",
       "3         0.01          0.0                0.0    0.000000         0.0   \n",
       "4         0.00          0.0                0.0    0.000000         0.0   \n",
       "\n",
       "   Food Truck  Fountain  French Restaurant  Fried Chicken Joint  \\\n",
       "0        0.00       0.0           0.000000             0.000000   \n",
       "1        0.01       0.0           0.030000             0.000000   \n",
       "2        0.00       0.0           0.045455             0.022727   \n",
       "3        0.00       0.0           0.020000             0.000000   \n",
       "4        0.00       0.0           0.000000             0.000000   \n",
       "\n",
       "   Frozen Yogurt Shop  Furniture / Home Store  Gaming Cafe    Garden  \\\n",
       "0                 0.0                    0.00          0.0  0.010309   \n",
       "1                 0.0                    0.00          0.0  0.000000   \n",
       "2                 0.0                    0.00          0.0  0.000000   \n",
       "3                 0.0                    0.00          0.0  0.000000   \n",
       "4                 0.0                    0.01          0.0  0.000000   \n",
       "\n",
       "   Garden Center  Gas Station  Gastropub  Gay Bar  General Entertainment  \\\n",
       "0           0.00          0.0        0.0      0.0                    0.0   \n",
       "1           0.00          0.0        0.0      0.0                    0.0   \n",
       "2           0.00          0.0        0.0      0.0                    0.0   \n",
       "3           0.00          0.0        0.0      0.0                    0.0   \n",
       "4           0.01          0.0        0.0      0.0                    0.0   \n",
       "\n",
       "   German Restaurant  Gift Shop  Golf Course  Gourmet Shop  Greek Restaurant  \\\n",
       "0                0.0       0.00          0.0      0.020619              0.00   \n",
       "1                0.0       0.01          0.0      0.010000              0.00   \n",
       "2                0.0       0.00          0.0      0.000000              0.00   \n",
       "3                0.0       0.01          0.0      0.000000              0.00   \n",
       "4                0.0       0.01          0.0      0.000000              0.02   \n",
       "\n",
       "   Grocery Store       Gym  Gym / Fitness Center  Gym Pool  Gymnastics Gym  \\\n",
       "0       0.020619  0.051546              0.000000       0.0             0.0   \n",
       "1       0.020000  0.030000              0.020000       0.0             0.0   \n",
       "2       0.000000  0.022727              0.022727       0.0             0.0   \n",
       "3       0.010000  0.010000              0.000000       0.0             0.0   \n",
       "4       0.000000  0.010000              0.000000       0.0             0.0   \n",
       "\n",
       "   Harbor / Marina  Hardware Store  Hawaiian Restaurant  \\\n",
       "0              0.0             0.0                  0.0   \n",
       "1              0.0             0.0                  0.0   \n",
       "2              0.0             0.0                  0.0   \n",
       "3              0.0             0.0                  0.0   \n",
       "4              0.0             0.0                  0.0   \n",
       "\n",
       "   Health & Beauty Service  Health Food Store  Heliport  Herbs & Spices Store  \\\n",
       "0                     0.00                0.0       0.0                   0.0   \n",
       "1                     0.00                0.0       0.0                   0.0   \n",
       "2                     0.00                0.0       0.0                   0.0   \n",
       "3                     0.02                0.0       0.0                   0.0   \n",
       "4                     0.00                0.0       0.0                   0.0   \n",
       "\n",
       "   High School  Himalayan Restaurant  Historic Site  History Museum  \\\n",
       "0          0.0                   0.0       0.010309             0.0   \n",
       "1          0.0                   0.0       0.000000             0.0   \n",
       "2          0.0                   0.0       0.000000             0.0   \n",
       "3          0.0                   0.0       0.000000             0.0   \n",
       "4          0.0                   0.0       0.010000             0.0   \n",
       "\n",
       "   Hobby Shop  Hookah Bar  Hostel  Hot Dog Joint     Hotel  Hotel Bar  \\\n",
       "0         0.0         0.0     0.0           0.00  0.051546   0.010309   \n",
       "1         0.0         0.0     0.0           0.01  0.010000   0.000000   \n",
       "2         0.0         0.0     0.0           0.00  0.000000   0.000000   \n",
       "3         0.0         0.0     0.0           0.00  0.030000   0.000000   \n",
       "4         0.0         0.0     0.0           0.00  0.010000   0.000000   \n",
       "\n",
       "   Hotpot Restaurant  Ice Cream Shop  Indian Restaurant  Indie Movie Theater  \\\n",
       "0               0.00        0.020619               0.00                 0.00   \n",
       "1               0.00        0.010000               0.02                 0.00   \n",
       "2               0.00        0.000000               0.00                 0.00   \n",
       "3               0.00        0.040000               0.01                 0.00   \n",
       "4               0.03        0.020000               0.00                 0.01   \n",
       "\n",
       "   Indie Theater  Irish Pub  Israeli Restaurant  Italian Restaurant  \\\n",
       "0            0.0        0.0                0.00            0.020619   \n",
       "1            0.0        0.0                0.00            0.030000   \n",
       "2            0.0        0.0                0.00            0.000000   \n",
       "3            0.0        0.0                0.01            0.050000   \n",
       "4            0.0        0.0                0.00            0.010000   \n",
       "\n",
       "   Japanese Curry Restaurant  Japanese Restaurant  Jazz Club  Jewelry Store  \\\n",
       "0                        0.0                 0.00   0.000000            0.0   \n",
       "1                        0.0                 0.03   0.000000            0.0   \n",
       "2                        0.0                 0.00   0.022727            0.0   \n",
       "3                        0.0                 0.02   0.000000            0.0   \n",
       "4                        0.0                 0.01   0.000000            0.0   \n",
       "\n",
       "   Jewish Restaurant  Juice Bar  Karaoke Bar  Kebab Restaurant  Kids Store  \\\n",
       "0                0.0   0.010309         0.00               0.0         0.0   \n",
       "1                0.0   0.000000         0.00               0.0         0.0   \n",
       "2                0.0   0.022727         0.00               0.0         0.0   \n",
       "3                0.0   0.000000         0.00               0.0         0.0   \n",
       "4                0.0   0.000000         0.01               0.0         0.0   \n",
       "\n",
       "   Kitchen Supply Store  Korean Restaurant  Kosher Restaurant  \\\n",
       "0                   0.0               0.00               0.00   \n",
       "1                   0.0               0.00               0.01   \n",
       "2                   0.0               0.00               0.00   \n",
       "3                   0.0               0.00               0.00   \n",
       "4                   0.0               0.01               0.00   \n",
       "\n",
       "   Latin American Restaurant  Laundry Service  Leather Goods Store  \\\n",
       "0                        0.0              0.0                  0.0   \n",
       "1                        0.0              0.0                  0.0   \n",
       "2                        0.0              0.0                  0.0   \n",
       "3                        0.0              0.0                  0.0   \n",
       "4                        0.0              0.0                  0.0   \n",
       "\n",
       "   Lebanese Restaurant   Library  Lingerie Store  Liquor Store  Lounge  \\\n",
       "0                  0.0  0.000000        0.010309           0.0     0.0   \n",
       "1                  0.0  0.000000        0.000000           0.0     0.0   \n",
       "2                  0.0  0.022727        0.000000           0.0     0.0   \n",
       "3                  0.0  0.000000        0.000000           0.0     0.0   \n",
       "4                  0.0  0.000000        0.000000           0.0     0.0   \n",
       "\n",
       "   Malay Restaurant    Market  Martial Arts Dojo  Massage Studio  \\\n",
       "0              0.00  0.000000               0.00            0.00   \n",
       "1              0.00  0.000000               0.01            0.00   \n",
       "2              0.00  0.022727               0.00            0.00   \n",
       "3              0.00  0.020000               0.00            0.00   \n",
       "4              0.02  0.000000               0.00            0.01   \n",
       "\n",
       "   Medical Center  Mediterranean Restaurant  Memorial Site  Men's Store  \\\n",
       "0             0.0                  0.010309       0.030928     0.010309   \n",
       "1             0.0                  0.010000       0.000000     0.000000   \n",
       "2             0.0                  0.000000       0.000000     0.000000   \n",
       "3             0.0                  0.000000       0.000000     0.010000   \n",
       "4             0.0                  0.000000       0.000000     0.000000   \n",
       "\n",
       "   Mexican Restaurant  Middle Eastern Restaurant  Mini Golf  \\\n",
       "0            0.010309                       0.00        0.0   \n",
       "1            0.010000                       0.00        0.0   \n",
       "2            0.000000                       0.00        0.0   \n",
       "3            0.010000                       0.01        0.0   \n",
       "4            0.020000                       0.00        0.0   \n",
       "\n",
       "   Miscellaneous Shop  Mobile Phone Shop  Modern European Restaurant  \\\n",
       "0                 0.0                0.0                         0.0   \n",
       "1                 0.0                0.0                         0.0   \n",
       "2                 0.0                0.0                         0.0   \n",
       "3                 0.0                0.0                         0.0   \n",
       "4                 0.0                0.0                         0.0   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Moroccan Restaurant  \\\n",
       "0                              0.0             0.010309                  0.0   \n",
       "1                              0.0             0.000000                  0.0   \n",
       "2                              0.0             0.000000                  0.0   \n",
       "3                              0.0             0.000000                  0.0   \n",
       "4                              0.0             0.000000                  0.0   \n",
       "\n",
       "   Movie Theater  Museum  Music School  Music Venue  Nail Salon  \\\n",
       "0       0.010309    0.00           0.0     0.000000         0.0   \n",
       "1       0.000000    0.01           0.0     0.000000         0.0   \n",
       "2       0.000000    0.00           0.0     0.022727         0.0   \n",
       "3       0.000000    0.00           0.0     0.000000         0.0   \n",
       "4       0.000000    0.01           0.0     0.010000         0.0   \n",
       "\n",
       "   New American Restaurant  Newsstand  Nightclub  Non-Profit  Noodle House  \\\n",
       "0                     0.00        0.0       0.00         0.0          0.00   \n",
       "1                     0.01        0.0       0.00         0.0          0.00   \n",
       "2                     0.00        0.0       0.00         0.0          0.00   \n",
       "3                     0.01        0.0       0.03         0.0          0.01   \n",
       "4                     0.01        0.0       0.00         0.0          0.02   \n",
       "\n",
       "   Office  Opera House  Optical Shop  Organic Grocery  Other Great Outdoors  \\\n",
       "0    0.00          0.0          0.00             0.00                   0.0   \n",
       "1    0.00          0.0          0.00             0.00                   0.0   \n",
       "2    0.00          0.0          0.00             0.00                   0.0   \n",
       "3    0.01          0.0          0.00             0.00                   0.0   \n",
       "4    0.00          0.0          0.03             0.01                   0.0   \n",
       "\n",
       "   Outdoor Sculpture  Outdoors & Recreation  Paella Restaurant  \\\n",
       "0                0.0                    0.0               0.00   \n",
       "1                0.0                    0.0               0.00   \n",
       "2                0.0                    0.0               0.00   \n",
       "3                0.0                    0.0               0.01   \n",
       "4                0.0                    0.0               0.00   \n",
       "\n",
       "   Paper / Office Supplies Store      Park  Pedestrian Plaza  \\\n",
       "0                           0.00  0.072165               0.0   \n",
       "1                           0.00  0.000000               0.0   \n",
       "2                           0.00  0.022727               0.0   \n",
       "3                           0.00  0.010000               0.0   \n",
       "4                           0.01  0.000000               0.0   \n",
       "\n",
       "   Performing Arts Venue  Persian Restaurant  Peruvian Restaurant  Pet Café  \\\n",
       "0               0.010309                 0.0                  0.0       0.0   \n",
       "1               0.000000                 0.0                  0.0       0.0   \n",
       "2               0.000000                 0.0                  0.0       0.0   \n",
       "3               0.000000                 0.0                  0.0       0.0   \n",
       "4               0.000000                 0.0                  0.0       0.0   \n",
       "\n",
       "   Pet Service  Pet Store  Pharmacy  Photography Studio  Physical Therapist  \\\n",
       "0          0.0   0.010309       0.0                0.00                0.00   \n",
       "1          0.0   0.010000       0.0                0.00                0.00   \n",
       "2          0.0   0.000000       0.0                0.00                0.00   \n",
       "3          0.0   0.010000       0.0                0.01                0.01   \n",
       "4          0.0   0.000000       0.0                0.00                0.00   \n",
       "\n",
       "   Piano Bar  Pie Shop  Pilates Studio  Pizza Place  Playground     Plaza  \\\n",
       "0        0.0       0.0             0.0     0.020619    0.020619  0.020619   \n",
       "1        0.0       0.0             0.0     0.040000    0.010000  0.000000   \n",
       "2        0.0       0.0             0.0     0.022727    0.000000  0.000000   \n",
       "3        0.0       0.0             0.0     0.010000    0.000000  0.000000   \n",
       "4        0.0       0.0             0.0     0.010000    0.000000  0.000000   \n",
       "\n",
       "   Poke Place  Pool       Pub  Public Art  Ramen Restaurant  Record Shop  \\\n",
       "0        0.00   0.0  0.010309    0.000000              0.00         0.00   \n",
       "1        0.00   0.0  0.020000    0.000000              0.01         0.00   \n",
       "2        0.00   0.0  0.000000    0.022727              0.00         0.00   \n",
       "3        0.01   0.0  0.000000    0.000000              0.00         0.00   \n",
       "4        0.00   0.0  0.000000    0.000000              0.01         0.01   \n",
       "\n",
       "   Recreation Center  Rental Car Location  \\\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",
       "   Residential Building (Apartment / Condo)  Resort  Rest Area  Restaurant  \\\n",
       "0                                       0.0     0.0        0.0        0.00   \n",
       "1                                       0.0     0.0        0.0        0.01   \n",
       "2                                       0.0     0.0        0.0        0.00   \n",
       "3                                       0.0     0.0        0.0        0.00   \n",
       "4                                       0.0     0.0        0.0        0.00   \n",
       "\n",
       "   Rock Climbing Spot  Rock Club  Roof Deck  Russian Restaurant  Sake Bar  \\\n",
       "0                 0.0        0.0       0.00                 0.0      0.00   \n",
       "1                 0.0        0.0       0.00                 0.0      0.00   \n",
       "2                 0.0        0.0       0.00                 0.0      0.00   \n",
       "3                 0.0        0.0       0.00                 0.0      0.00   \n",
       "4                 0.0        0.0       0.01                 0.0      0.01   \n",
       "\n",
       "   Salad Place  Salon / Barbershop  Sandwich Place  Scandinavian Restaurant  \\\n",
       "0     0.010309                0.00        0.020619                      0.0   \n",
       "1     0.010000                0.01        0.000000                      0.0   \n",
       "2     0.000000                0.00        0.000000                      0.0   \n",
       "3     0.000000                0.00        0.010000                      0.0   \n",
       "4     0.000000                0.03        0.020000                      0.0   \n",
       "\n",
       "   Scenic Lookout  School  Sculpture Garden  Seafood Restaurant  \\\n",
       "0        0.010309     0.0          0.010309            0.000000   \n",
       "1        0.000000     0.0          0.000000            0.000000   \n",
       "2        0.000000     0.0          0.000000            0.045455   \n",
       "3        0.010000     0.0          0.000000            0.020000   \n",
       "4        0.000000     0.0          0.000000            0.000000   \n",
       "\n",
       "   Shanghai Restaurant  Shipping Store  Shoe Store  Shopping Mall  Skate Park  \\\n",
       "0                 0.00            0.00        0.00       0.020619         0.0   \n",
       "1                 0.00            0.02        0.01       0.000000         0.0   \n",
       "2                 0.00            0.00        0.00       0.000000         0.0   \n",
       "3                 0.00            0.00        0.00       0.000000         0.0   \n",
       "4                 0.01            0.00        0.01       0.000000         0.0   \n",
       "\n",
       "   Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  Soba Restaurant  \\\n",
       "0           0.0    0.010309           0.00         0.00              0.0   \n",
       "1           0.0    0.000000           0.00         0.00              0.0   \n",
       "2           0.0    0.000000           0.00         0.00              0.0   \n",
       "3           0.0    0.000000           0.01         0.00              0.0   \n",
       "4           0.0    0.000000           0.00         0.01              0.0   \n",
       "\n",
       "   Soccer Field  Social Club  Soup Place  South American Restaurant  \\\n",
       "0           0.0          0.0         0.0                        0.0   \n",
       "1           0.0          0.0         0.0                        0.0   \n",
       "2           0.0          0.0         0.0                        0.0   \n",
       "3           0.0          0.0         0.0                        0.0   \n",
       "4           0.0          0.0         0.0                        0.0   \n",
       "\n",
       "   South Indian Restaurant  Southern / Soul Food Restaurant       Spa  \\\n",
       "0                      0.0                         0.000000  0.000000   \n",
       "1                      0.0                         0.000000  0.010000   \n",
       "2                      0.0                         0.022727  0.022727   \n",
       "3                      0.0                         0.000000  0.000000   \n",
       "4                      0.0                         0.000000  0.030000   \n",
       "\n",
       "   Spanish Restaurant  Speakeasy  Spiritual Center  Sporting Goods Shop  \\\n",
       "0                0.00       0.00               0.0                 0.00   \n",
       "1                0.00       0.00               0.0                 0.00   \n",
       "2                0.00       0.00               0.0                 0.00   \n",
       "3                0.00       0.01               0.0                 0.00   \n",
       "4                0.01       0.00               0.0                 0.01   \n",
       "\n",
       "   Sports Bar  Sports Club  Stables  Stationery Store  Steakhouse  Street Art  \\\n",
       "0         0.0         0.00      0.0               0.0    0.010309         0.0   \n",
       "1         0.0         0.00      0.0               0.0    0.000000         0.0   \n",
       "2         0.0         0.00      0.0               0.0    0.000000         0.0   \n",
       "3         0.0         0.00      0.0               0.0    0.000000         0.0   \n",
       "4         0.0         0.01      0.0               0.0    0.000000         0.0   \n",
       "\n",
       "   Strip Club  Supermarket  Supplement Shop  Sushi Restaurant  \\\n",
       "0         0.0         0.00              0.0          0.010309   \n",
       "1         0.0         0.01              0.0          0.010000   \n",
       "2         0.0         0.00              0.0          0.000000   \n",
       "3         0.0         0.00              0.0          0.020000   \n",
       "4         0.0         0.01              0.0          0.000000   \n",
       "\n",
       "   Swiss Restaurant  Szechuan Restaurant  Taco Place  Tailor Shop  \\\n",
       "0               0.0                  0.0        0.00          0.0   \n",
       "1               0.0                  0.0        0.01          0.0   \n",
       "2               0.0                  0.0        0.00          0.0   \n",
       "3               0.0                  0.0        0.01          0.0   \n",
       "4               0.0                  0.0        0.00          0.0   \n",
       "\n",
       "   Taiwanese Restaurant  Tapas Restaurant  Tattoo Parlor  Tea Room  \\\n",
       "0                   0.0          0.000000            0.0  0.010309   \n",
       "1                   0.0          0.000000            0.0  0.000000   \n",
       "2                   0.0          0.022727            0.0  0.000000   \n",
       "3                   0.0          0.020000            0.0  0.000000   \n",
       "4                   0.0          0.000000            0.0  0.010000   \n",
       "\n",
       "   Tennis Court  Tennis Stadium  Thai Restaurant  Theater  \\\n",
       "0           0.0             0.0             0.00     0.00   \n",
       "1           0.0             0.0             0.00     0.00   \n",
       "2           0.0             0.0             0.00     0.00   \n",
       "3           0.0             0.0             0.01     0.03   \n",
       "4           0.0             0.0             0.01     0.00   \n",
       "\n",
       "   Thrift / Vintage Store  Tiki Bar  Tourist Information Center  \\\n",
       "0                     0.0       0.0                         0.0   \n",
       "1                     0.0       0.0                         0.0   \n",
       "2                     0.0       0.0                         0.0   \n",
       "3                     0.0       0.0                         0.0   \n",
       "4                     0.0       0.0                         0.0   \n",
       "\n",
       "   Toy / Game Store  Trail  Turkish Restaurant  Udon Restaurant  \\\n",
       "0               0.0    0.0                 0.0              0.0   \n",
       "1               0.0    0.0                 0.0              0.0   \n",
       "2               0.0    0.0                 0.0              0.0   \n",
       "3               0.0    0.0                 0.0              0.0   \n",
       "4               0.0    0.0                 0.0              0.0   \n",
       "\n",
       "   Used Bookstore  Vegetarian / Vegan Restaurant  Venezuelan Restaurant  \\\n",
       "0             0.0                           0.00                    0.0   \n",
       "1             0.0                           0.01                    0.0   \n",
       "2             0.0                           0.00                    0.0   \n",
       "3             0.0                           0.01                    0.0   \n",
       "4             0.0                           0.00                    0.0   \n",
       "\n",
       "   Veterinarian  Video Game Store  Video Store  Vietnamese Restaurant  \\\n",
       "0           0.0               0.0          0.0                   0.00   \n",
       "1           0.0               0.0          0.0                   0.02   \n",
       "2           0.0               0.0          0.0                   0.00   \n",
       "3           0.0               0.0          0.0                   0.00   \n",
       "4           0.0               0.0          0.0                   0.04   \n",
       "\n",
       "   Volleyball Court  Waterfront  Weight Loss Center  Whisky Bar  Wine Bar  \\\n",
       "0               0.0         0.0                 0.0         0.0      0.00   \n",
       "1               0.0         0.0                 0.0         0.0      0.01   \n",
       "2               0.0         0.0                 0.0         0.0      0.00   \n",
       "3               0.0         0.0                 0.0         0.0      0.00   \n",
       "4               0.0         0.0                 0.0         0.0      0.00   \n",
       "\n",
       "   Wine Shop  Wings Joint  Women's Store  Yoga Studio  \n",
       "0   0.020619          0.0       0.020619         0.00  \n",
       "1   0.030000          0.0       0.010000         0.03  \n",
       "2   0.000000          0.0       0.000000         0.00  \n",
       "3   0.020000          0.0       0.010000         0.01  \n",
       "4   0.000000          0.0       0.000000         0.01  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a function to check the least common venues in each neighborhood\n",
    "def return_least_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=True)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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 Least Common Venue</th>\n",
       "      <th>2nd Least Common Venue</th>\n",
       "      <th>3rd Least Common Venue</th>\n",
       "      <th>4th Least Common Venue</th>\n",
       "      <th>5th Least Common Venue</th>\n",
       "      <th>6th Least Common Venue</th>\n",
       "      <th>7th Least Common Venue</th>\n",
       "      <th>8th Least Common Venue</th>\n",
       "      <th>9th Least Common Venue</th>\n",
       "      <th>10th Least Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Battery Park City</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Opera House</td>\n",
       "      <td>Office</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Newsstand</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nail Salon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Carnegie Hill</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Opera House</td>\n",
       "      <td>Office</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Newsstand</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Music School</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Central Harlem</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Outdoors &amp; Recreation</td>\n",
       "      <td>Outdoor Sculpture</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Organic Grocery</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Opera House</td>\n",
       "      <td>Office</td>\n",
       "      <td>Paella Restaurant</td>\n",
       "      <td>Noodle House</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Opera House</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Newsstand</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Music School</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Museum</td>\n",
       "      <td>Moroccan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Newsstand</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Music School</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Office</td>\n",
       "      <td>Moroccan Restaurant</td>\n",
       "      <td>Molecular Gastronomy Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Neighborhood 1st Least Common Venue 2nd Least Common Venue  \\\n",
       "0  Battery Park City      Accessories Store           Optical Shop   \n",
       "1      Carnegie Hill      Accessories Store            Opera House   \n",
       "2     Central Harlem      Accessories Store  Outdoors & Recreation   \n",
       "3            Chelsea      Accessories Store            Opera House   \n",
       "4          Chinatown      Accessories Store             Non-Profit   \n",
       "\n",
       "  3rd Least Common Venue 4th Least Common Venue 5th Least Common Venue  \\\n",
       "0            Opera House                 Office           Noodle House   \n",
       "1                 Office           Noodle House             Non-Profit   \n",
       "2      Outdoor Sculpture   Other Great Outdoors        Organic Grocery   \n",
       "3             Non-Profit              Newsstand             Nail Salon   \n",
       "4              Nightclub              Newsstand             Nail Salon   \n",
       "\n",
       "  6th Least Common Venue 7th Least Common Venue 8th Least Common Venue  \\\n",
       "0             Non-Profit              Nightclub              Newsstand   \n",
       "1              Nightclub              Newsstand             Nail Salon   \n",
       "2           Optical Shop            Opera House                 Office   \n",
       "3            Music Venue           Music School           Optical Shop   \n",
       "4           Music School          Movie Theater                 Office   \n",
       "\n",
       "    9th Least Common Venue          10th Least Common Venue  \n",
       "0  New American Restaurant                       Nail Salon  \n",
       "1              Music Venue                     Music School  \n",
       "2        Paella Restaurant                     Noodle House  \n",
       "3                   Museum              Moroccan Restaurant  \n",
       "4      Moroccan Restaurant  Molecular Gastronomy Restaurant  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a new dataframe that includes the top 10 least common venues\n",
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Least Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Least Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = manhattan_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(manhattan_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_least_common_venues(manhattan_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Accessories Store    35\n",
       "Indie Theater         5\n",
       "Name: 1st Least Common Venue, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the 1st least common venues in Manhattan\n",
    "neighborhoods_venues_sorted['1st Least Common Venue'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we can see that in Manhattan, the least common venues are Accessories Store and Irish Pub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check how many yoga studios already exist in Manhattan\n",
    "manhattan_grouped2 = manhattan_onehot.groupby('Neighborhood').sum().reset_index()\n",
    "manhattan_grouped2['Yoga Studio'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "58"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_grouped2['Gym'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 35 yoga studios already in the Manhattan area. This is not surprising as yoga has been very popular in the US for quite sometime. \n",
    "\n",
    "Now, let's check out how many and then sort our data based on the number of yoga studios available in each neighboorhood. We will also include data about parks, coffee shops and cafe to see how many are available in the areas that do not have yoga studios yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Yoga Studio</th>\n",
       "      <th>Park</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>Café</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Battery Park City</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>West Village</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Morningside Heights</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Turtle Bay</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Financial District</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>Yorkville</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>Manhattanville</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Hudson Yards</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>Washington Heights</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Roosevelt Island</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Stuyvesant Town</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>East Village</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>East Harlem</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Central Harlem</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Lenox Hill</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Murray Hill</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Neighborhood  Yoga Studio  Park  Coffee Shop  Café\n",
       "0     Battery Park City            0     7            7     0\n",
       "38         West Village            0     4            3     1\n",
       "25  Morningside Heights            0     4            3     1\n",
       "34           Turtle Bay            0     3            5     3\n",
       "9    Financial District            0     2            9     1\n",
       "39            Yorkville            0     2            6     1\n",
       "21       Manhattanville            0     2            4     1\n",
       "14         Hudson Yards            0     2            3     4\n",
       "37   Washington Heights            0     2            2     5\n",
       "28     Roosevelt Island            0     2            1     0\n",
       "30      Stuyvesant Town            0     2            1     0\n",
       "6               Clinton            0     1            4     1\n",
       "8          East Village            0     1            3     0\n",
       "7           East Harlem            0     1            0     1\n",
       "2        Central Harlem            0     1            0     1\n",
       "16           Lenox Hill            0     0            6     3\n",
       "26          Murray Hill            0     0            5     1"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort the data based on the number of Yoga Studio in the neighboorhood, parks and coffee shops (including cafes)\n",
    "manhattan_grouped2 = manhattan_onehot.groupby('Neighborhood').sum().reset_index()\n",
    "manhattan_grouped2 = manhattan_grouped2.sort_values('Yoga Studio',ascending=False)[['Neighborhood','Yoga Studio','Coffee Shop','Café','Park']]\n",
    "manhattan_no_yoga = manhattan_grouped2[manhattan_grouped2['Yoga Studio']==0].sort_values(by=['Park','Coffee Shop','Café'],ascending=False)[['Neighborhood','Yoga Studio','Park','Coffee Shop','Café']]\n",
    "manhattan_no_yoga"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot the data on a chart so we can visualize them more easily"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# use seaborn barplot to plot the data\n",
    "fig = plt.figure(figsize=(15,10))\n",
    "\n",
    "ax = plt.subplot(3,1,1)\n",
    "sns.barplot(x='Neighborhood',y='Park',data=manhattan_no_yoga.head(5))\n",
    "\n",
    "ax = plt.subplot(3,1,2)\n",
    "sns.barplot(x='Neighborhood',y='Coffee Shop',data=manhattan_no_yoga.head(5))\n",
    "\n",
    "ax = plt.subplot(3,1,3)\n",
    "sns.barplot(x='Neighborhood',y='Café',data=manhattan_no_yoga.head(5))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run k-means to cluster the neighborhood into 5 clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 1, 1, 1, 2, 0, 1, 1])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "manhattan_grouped_clustering = manhattan_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(manhattan_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Least Common Venue</th>\n",
       "      <th>2nd Least Common Venue</th>\n",
       "      <th>3rd Least Common Venue</th>\n",
       "      <th>4th Least Common Venue</th>\n",
       "      <th>5th Least Common Venue</th>\n",
       "      <th>6th Least Common Venue</th>\n",
       "      <th>7th Least Common Venue</th>\n",
       "      <th>8th Least Common Venue</th>\n",
       "      <th>9th Least Common Venue</th>\n",
       "      <th>10th Least Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.910660</td>\n",
       "      <td>3</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Outdoor Sculpture</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Organic Grocery</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Opera House</td>\n",
       "      <td>Office</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Outdoors &amp; Recreation</td>\n",
       "      <td>Non-Profit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>40.715618</td>\n",
       "      <td>-73.994279</td>\n",
       "      <td>1</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Newsstand</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Music School</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Office</td>\n",
       "      <td>Moroccan Restaurant</td>\n",
       "      <td>Molecular Gastronomy Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Washington Heights</td>\n",
       "      <td>40.851903</td>\n",
       "      <td>-73.936900</td>\n",
       "      <td>1</td>\n",
       "      <td>Indie Theater</td>\n",
       "      <td>Nail Salon</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Music School</td>\n",
       "      <td>Museum</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Moroccan Restaurant</td>\n",
       "      <td>Newsstand</td>\n",
       "      <td>Monument / Landmark</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Inwood</td>\n",
       "      <td>40.867684</td>\n",
       "      <td>-73.921210</td>\n",
       "      <td>0</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Opera House</td>\n",
       "      <td>Office</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Newsstand</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nail Salon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>40.823604</td>\n",
       "      <td>-73.949688</td>\n",
       "      <td>0</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Organic Grocery</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Opera House</td>\n",
       "      <td>Office</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Non-Profit</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Newsstand</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Borough        Neighborhood   Latitude  Longitude  Cluster Labels  \\\n",
       "0  Manhattan         Marble Hill  40.876551 -73.910660               3   \n",
       "1  Manhattan           Chinatown  40.715618 -73.994279               1   \n",
       "2  Manhattan  Washington Heights  40.851903 -73.936900               1   \n",
       "3  Manhattan              Inwood  40.867684 -73.921210               0   \n",
       "4  Manhattan    Hamilton Heights  40.823604 -73.949688               0   \n",
       "\n",
       "  1st Least Common Venue 2nd Least Common Venue 3rd Least Common Venue  \\\n",
       "0      Accessories Store      Outdoor Sculpture   Other Great Outdoors   \n",
       "1      Accessories Store             Non-Profit              Nightclub   \n",
       "2          Indie Theater             Nail Salon            Music Venue   \n",
       "3      Accessories Store           Optical Shop            Opera House   \n",
       "4      Accessories Store   Other Great Outdoors        Organic Grocery   \n",
       "\n",
       "  4th Least Common Venue 5th Least Common Venue 6th Least Common Venue  \\\n",
       "0        Organic Grocery           Optical Shop            Opera House   \n",
       "1              Newsstand             Nail Salon           Music School   \n",
       "2           Music School                 Museum          Movie Theater   \n",
       "3                 Office           Noodle House             Non-Profit   \n",
       "4           Optical Shop            Opera House                 Office   \n",
       "\n",
       "  7th Least Common Venue 8th Least Common Venue   9th Least Common Venue  \\\n",
       "0                 Office           Noodle House    Outdoors & Recreation   \n",
       "1          Movie Theater                 Office      Moroccan Restaurant   \n",
       "2    Moroccan Restaurant              Newsstand      Monument / Landmark   \n",
       "3              Nightclub              Newsstand  New American Restaurant   \n",
       "4           Noodle House             Non-Profit                Nightclub   \n",
       "\n",
       "           10th Least Common Venue  \n",
       "0                       Non-Profit  \n",
       "1  Molecular Gastronomy Restaurant  \n",
       "2       Modern European Restaurant  \n",
       "3                       Nail Salon  \n",
       "4                        Newsstand  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "manhattan_merged = manhattan_data\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "manhattan_merged = manhattan_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "manhattan_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Battery Park City</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Memorial Site</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Carnegie Hill</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Central Harlem</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>African Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Hotpot Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Civic Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Wine Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>East Harlem</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>East Village</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Financial District</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Flatiron</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Gramercy</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Diner</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Greenwich Village</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Hudson Yards</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Inwood</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Frozen Yogurt Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Lenox Hill</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Lincoln Square</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Café</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Little Italy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Hotpot Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Lower East Side</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Manhattan Valley</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>Manhattanville</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Tennis Stadium</td>\n",
       "      <td>Supplement Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Midtown</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Midtown South</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Hotel Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Morningside Heights</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Murray Hill</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Noho</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Rock Club</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Roosevelt Island</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Indie Theater</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>School</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Soho</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Stuyvesant Town</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pet Service</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>German Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Sutton Place</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Beer Garden</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Tudor City</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Turtle Bay</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>Exhibit</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>Washington Heights</td>\n",
       "      <td>Café</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Supplement Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>West Village</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>Yorkville</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Wine Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Neighborhood 1st Most Common Venue    2nd Most Common Venue  \\\n",
       "0     Battery Park City                  Park              Coffee Shop   \n",
       "1         Carnegie Hill           Coffee Shop              Pizza Place   \n",
       "2        Central Harlem    Chinese Restaurant                      Bar   \n",
       "3               Chelsea           Coffee Shop       Italian Restaurant   \n",
       "4             Chinatown    Chinese Restaurant             Cocktail Bar   \n",
       "5          Civic Center  Gym / Fitness Center              Coffee Shop   \n",
       "6               Clinton               Theater     Gym / Fitness Center   \n",
       "7           East Harlem    Mexican Restaurant            Deli / Bodega   \n",
       "8          East Village                   Bar           Ice Cream Shop   \n",
       "9    Financial District           Coffee Shop                      Bar   \n",
       "10             Flatiron           Yoga Studio      Japanese Restaurant   \n",
       "11             Gramercy    Italian Restaurant                      Bar   \n",
       "12    Greenwich Village    Italian Restaurant         Sushi Restaurant   \n",
       "13     Hamilton Heights           Pizza Place                     Café   \n",
       "14         Hudson Yards   American Restaurant       Italian Restaurant   \n",
       "15               Inwood    Mexican Restaurant                   Lounge   \n",
       "16           Lenox Hill           Coffee Shop              Pizza Place   \n",
       "17       Lincoln Square                 Plaza       Italian Restaurant   \n",
       "18         Little Italy                Bakery                     Café   \n",
       "19      Lower East Side           Art Gallery                     Café   \n",
       "20     Manhattan Valley                   Bar              Pizza Place   \n",
       "21       Manhattanville           Coffee Shop            Deli / Bodega   \n",
       "22          Marble Hill        Sandwich Place                      Gym   \n",
       "23              Midtown                 Hotel              Coffee Shop   \n",
       "24        Midtown South     Korean Restaurant                Hotel Bar   \n",
       "25  Morningside Heights                  Park                Bookstore   \n",
       "26          Murray Hill        Sandwich Place              Coffee Shop   \n",
       "27                 Noho     French Restaurant       Italian Restaurant   \n",
       "28     Roosevelt Island        Sandwich Place                     Park   \n",
       "29                 Soho        Clothing Store                 Boutique   \n",
       "30      Stuyvesant Town                   Bar                     Park   \n",
       "31         Sutton Place  Gym / Fitness Center       Italian Restaurant   \n",
       "32              Tribeca   American Restaurant                     Park   \n",
       "33           Tudor City                  Café                     Park   \n",
       "34           Turtle Bay    Italian Restaurant               Steakhouse   \n",
       "35      Upper East Side               Exhibit       Italian Restaurant   \n",
       "36      Upper West Side    Italian Restaurant                 Wine Bar   \n",
       "37   Washington Heights                  Café            Grocery Store   \n",
       "38         West Village    Italian Restaurant  New American Restaurant   \n",
       "39            Yorkville    Italian Restaurant                      Gym   \n",
       "\n",
       "        3rd Most Common Venue  4th Most Common Venue   5th Most Common Venue  \\\n",
       "0                       Hotel                    Gym          Clothing Store   \n",
       "1                        Café            Yoga Studio       French Restaurant   \n",
       "2          Seafood Restaurant     African Restaurant     American Restaurant   \n",
       "3                      Bakery         Ice Cream Shop     American Restaurant   \n",
       "4         American Restaurant  Vietnamese Restaurant      Salon / Barbershop   \n",
       "5                       Hotel      French Restaurant                     Spa   \n",
       "6          Italian Restaurant    American Restaurant                     Spa   \n",
       "7   Latin American Restaurant                 Bakery         Thai Restaurant   \n",
       "8          Chinese Restaurant           Cocktail Bar      Mexican Restaurant   \n",
       "9         American Restaurant             Food Truck             Pizza Place   \n",
       "10        American Restaurant                   Café    Gym / Fitness Center   \n",
       "11                 Bagel Shop        Thai Restaurant  Thrift / Vintage Store   \n",
       "12             Clothing Store                   Café       French Restaurant   \n",
       "13                Coffee Shop          Deli / Bodega      Mexican Restaurant   \n",
       "14       Gym / Fitness Center                   Café                   Hotel   \n",
       "15                       Café            Pizza Place              Restaurant   \n",
       "16         Italian Restaurant           Cocktail Bar        Sushi Restaurant   \n",
       "17                    Theater                   Café            Concert Hall   \n",
       "18         Italian Restaurant         Sandwich Place      Salon / Barbershop   \n",
       "19                Pizza Place            Coffee Shop        Ramen Restaurant   \n",
       "20          Indian Restaurant     Mexican Restaurant             Yoga Studio   \n",
       "21         Chinese Restaurant                   Park      Italian Restaurant   \n",
       "22                Coffee Shop             Donut Shop          Tennis Stadium   \n",
       "23             Clothing Store    Sporting Goods Shop                  Bakery   \n",
       "24                      Hotel    Japanese Restaurant             Coffee Shop   \n",
       "25        American Restaurant            Coffee Shop             Pizza Place   \n",
       "26        Japanese Restaurant    American Restaurant    Gym / Fitness Center   \n",
       "27                Pizza Place           Cocktail Bar     American Restaurant   \n",
       "28              Indie Theater         Baseball Field         Bubble Tea Shop   \n",
       "29         Italian Restaurant            Art Gallery           Women's Store   \n",
       "30                Pet Service          Boat or Ferry          Baseball Field   \n",
       "31     Furniture / Home Store                    Gym       Indian Restaurant   \n",
       "32         Italian Restaurant                   Café                Wine Bar   \n",
       "33         Mexican Restaurant       Greek Restaurant             Pizza Place   \n",
       "34           Sushi Restaurant            Coffee Shop                Wine Bar   \n",
       "35                Art Gallery                 Bakery               Juice Bar   \n",
       "36                        Bar            Coffee Shop       Indian Restaurant   \n",
       "37                     Bakery      Mobile Phone Shop      Mexican Restaurant   \n",
       "38             Cosmetics Shop               Wine Bar     American Restaurant   \n",
       "39                Coffee Shop                    Bar             Pizza Place   \n",
       "\n",
       "       6th Most Common Venue     7th Most Common Venue  \\\n",
       "0              Memorial Site                 BBQ Joint   \n",
       "1        Japanese Restaurant        Italian Restaurant   \n",
       "2             Cosmetics Shop               Art Gallery   \n",
       "3                Art Gallery                 Nightclub   \n",
       "4                        Spa                    Bakery   \n",
       "5         Italian Restaurant                    Bakery   \n",
       "6                Coffee Shop                 Wine Shop   \n",
       "7                Pizza Place                      Park   \n",
       "8                   Wine Bar               Pizza Place   \n",
       "9                      Hotel                       Gym   \n",
       "10            Cosmetics Shop              Dessert Shop   \n",
       "11        Mexican Restaurant               Pizza Place   \n",
       "12        Seafood Restaurant         Indian Restaurant   \n",
       "13               Yoga Studio      Caribbean Restaurant   \n",
       "14               Coffee Shop                       Bar   \n",
       "15        Spanish Restaurant                    Bakery   \n",
       "16              Burger Joint                       Gym   \n",
       "17     Performing Arts Venue      Gym / Fitness Center   \n",
       "18           Bubble Tea Shop  Mediterranean Restaurant   \n",
       "19        Chinese Restaurant                    Bakery   \n",
       "20           Thai Restaurant               Coffee Shop   \n",
       "21        Seafood Restaurant        Mexican Restaurant   \n",
       "22           Supplement Shop                Steakhouse   \n",
       "23                      Café                   Theater   \n",
       "24              Dessert Shop      Gym / Fitness Center   \n",
       "25              Burger Joint                Food Truck   \n",
       "26                       Bar                     Hotel   \n",
       "27               Coffee Shop                 Rock Club   \n",
       "28              Soccer Field                    School   \n",
       "29  Mediterranean Restaurant                Shoe Store   \n",
       "30         German Restaurant      Gym / Fitness Center   \n",
       "31               Coffee Shop               Yoga Studio   \n",
       "32          Greek Restaurant               Coffee Shop   \n",
       "33                     Diner               Coffee Shop   \n",
       "34                      Park          Ramen Restaurant   \n",
       "35      Gym / Fitness Center               Pizza Place   \n",
       "36  Mediterranean Restaurant                      Café   \n",
       "37        Spanish Restaurant            Sandwich Place   \n",
       "38                      Park              Cocktail Bar   \n",
       "39             Deli / Bodega          Sushi Restaurant   \n",
       "\n",
       "      8th Most Common Venue                     9th Most Common Venue  \\\n",
       "0             Women's Store                              Gourmet Shop   \n",
       "1                    Bakery                                       Gym   \n",
       "2         French Restaurant                                       Spa   \n",
       "3                     Hotel                                   Theater   \n",
       "4              Optical Shop                         Hotpot Restaurant   \n",
       "5            Sandwich Place                              Cocktail Bar   \n",
       "6                       Gym                                     Hotel   \n",
       "7                Restaurant                                  Beer Bar   \n",
       "8        Italian Restaurant                                 Speakeasy   \n",
       "9      Gym / Fitness Center                                Steakhouse   \n",
       "10  New American Restaurant                               Coffee Shop   \n",
       "11             Cocktail Bar                                     Diner   \n",
       "12             Dessert Shop                            Ice Cream Shop   \n",
       "13         Sushi Restaurant                         Indian Restaurant   \n",
       "14             Burger Joint                                       Gym   \n",
       "15       Chinese Restaurant                        Frozen Yogurt Shop   \n",
       "16                     Café                      Gym / Fitness Center   \n",
       "17      American Restaurant                       Indie Movie Theater   \n",
       "18             Cocktail Bar                                  Tea Room   \n",
       "19             Cocktail Bar                       Japanese Restaurant   \n",
       "20           Farmers Market                          Sushi Restaurant   \n",
       "21                 Boutique                              Climbing Gym   \n",
       "22            Shopping Mall                        Seafood Restaurant   \n",
       "23               Steakhouse                              Cocktail Bar   \n",
       "24           Cosmetics Shop                       American Restaurant   \n",
       "25            Deli / Bodega                            Sandwich Place   \n",
       "26       Italian Restaurant                               Pizza Place   \n",
       "27                Bookstore                                 Gift Shop   \n",
       "28              Coffee Shop  Residential Building (Apartment / Condo)   \n",
       "29                   Bakery                       Sporting Goods Shop   \n",
       "30             Cocktail Bar                           Harbor / Marina   \n",
       "31         Department Store                               Beer Garden   \n",
       "32              Men's Store                                       Spa   \n",
       "33            Deli / Bodega                          Asian Restaurant   \n",
       "34        French Restaurant                                      Café   \n",
       "35        French Restaurant                                     Hotel   \n",
       "36                   Bakery                            Breakfast Spot   \n",
       "37       Chinese Restaurant                               Supermarket   \n",
       "38           Ice Cream Shop                               Coffee Shop   \n",
       "39                Wine Shop                       Japanese Restaurant   \n",
       "\n",
       "       10th Most Common Venue  \n",
       "0          Italian Restaurant  \n",
       "1                   Bookstore  \n",
       "2        Gym / Fitness Center  \n",
       "3                      Market  \n",
       "4              Ice Cream Shop  \n",
       "5                 Yoga Studio  \n",
       "6              Sandwich Place  \n",
       "7            Cuban Restaurant  \n",
       "8           Korean Restaurant  \n",
       "9                Cocktail Bar  \n",
       "10             Clothing Store  \n",
       "11        American Restaurant  \n",
       "12               Burger Joint  \n",
       "13                       Park  \n",
       "14         Spanish Restaurant  \n",
       "15                       Park  \n",
       "16                Salad Place  \n",
       "17                       Park  \n",
       "18          Hotpot Restaurant  \n",
       "19                    Butcher  \n",
       "20  Latin American Restaurant  \n",
       "21         Falafel Restaurant  \n",
       "22                Yoga Studio  \n",
       "23                  Bookstore  \n",
       "24                Salad Place  \n",
       "25                 Donut Shop  \n",
       "26   Mediterranean Restaurant  \n",
       "27                Art Gallery  \n",
       "28                 Playground  \n",
       "29                Men's Store  \n",
       "30                Coffee Shop  \n",
       "31           Sushi Restaurant  \n",
       "32                 Playground  \n",
       "33           Sushi Restaurant  \n",
       "34        Japanese Restaurant  \n",
       "35                Coffee Shop  \n",
       "36            Thai Restaurant  \n",
       "37            Supplement Shop  \n",
       "38                    Theater  \n",
       "39         Mexican Restaurant  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = manhattan_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(manhattan_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(manhattan_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 1, 1, 1, 2, 0, 1, 1])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "manhattan_grouped_clustering = manhattan_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(manhattan_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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",
       "      <td>0</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>40.876551</td>\n",
       "      <td>-73.910660</td>\n",
       "      <td>3</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Tennis Stadium</td>\n",
       "      <td>Supplement Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>40.715618</td>\n",
       "      <td>-73.994279</td>\n",
       "      <td>1</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Hotpot Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Washington Heights</td>\n",
       "      <td>40.851903</td>\n",
       "      <td>-73.936900</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Supplement Shop</td>\n",
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       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Inwood</td>\n",
       "      <td>40.867684</td>\n",
       "      <td>-73.921210</td>\n",
       "      <td>0</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Frozen Yogurt Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>40.823604</td>\n",
       "      <td>-73.949688</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "     Borough        Neighborhood   Latitude  Longitude  Cluster Labels  \\\n",
       "0  Manhattan         Marble Hill  40.876551 -73.910660               3   \n",
       "1  Manhattan           Chinatown  40.715618 -73.994279               1   \n",
       "2  Manhattan  Washington Heights  40.851903 -73.936900               1   \n",
       "3  Manhattan              Inwood  40.867684 -73.921210               0   \n",
       "4  Manhattan    Hamilton Heights  40.823604 -73.949688               0   \n",
       "\n",
       "  1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0        Sandwich Place                   Gym           Coffee Shop   \n",
       "1    Chinese Restaurant          Cocktail Bar   American Restaurant   \n",
       "2                  Café         Grocery Store                Bakery   \n",
       "3    Mexican Restaurant                Lounge                  Café   \n",
       "4           Pizza Place                  Café           Coffee Shop   \n",
       "\n",
       "   4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n",
       "0             Donut Shop        Tennis Stadium       Supplement Shop   \n",
       "1  Vietnamese Restaurant    Salon / Barbershop                   Spa   \n",
       "2      Mobile Phone Shop    Mexican Restaurant    Spanish Restaurant   \n",
       "3            Pizza Place            Restaurant    Spanish Restaurant   \n",
       "4          Deli / Bodega    Mexican Restaurant           Yoga Studio   \n",
       "\n",
       "  7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n",
       "0            Steakhouse         Shopping Mall    Seafood Restaurant   \n",
       "1                Bakery          Optical Shop     Hotpot Restaurant   \n",
       "2        Sandwich Place    Chinese Restaurant           Supermarket   \n",
       "3                Bakery    Chinese Restaurant    Frozen Yogurt Shop   \n",
       "4  Caribbean Restaurant      Sushi Restaurant     Indian Restaurant   \n",
       "\n",
       "  10th Most Common Venue  \n",
       "0            Yoga Studio  \n",
       "1         Ice Cream Shop  \n",
       "2        Supplement Shop  \n",
       "3                   Park  \n",
       "4                   Park  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "manhattan_merged = manhattan_data\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "manhattan_merged = manhattan_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "manhattan_merged.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's visualize the resulting clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of New York City are 40.7127281, -74.0060152.\n"
     ]
    }
   ],
   "source": [
    "address = 'New York City, NY'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"ny_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of New York City are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_533a8a66d9c2404b97104a0d7bad8a15 = L.popup({"maxWidth": "100%"});

        
            var html_124e14a97c334c83aad6a9cfb4db03e0 = $(`<div id="html_124e14a97c334c83aad6a9cfb4db03e0" style="width: 100.0%; height: 100.0%;">Yorkville Cluster 1</div>`)[0];
            popup_533a8a66d9c2404b97104a0d7bad8a15.setContent(html_124e14a97c334c83aad6a9cfb4db03e0);
        

        circle_marker_d64f50edc56a4ddba424173b379a68df.bindPopup(popup_533a8a66d9c2404b97104a0d7bad8a15)
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            var circle_marker_5e51603eb572483499c7afdb9099e2ab = L.circleMarker(
                [40.76811265828733, -73.9588596881376],
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_456578ce95364d9fb3919a9eea473301 = L.popup({"maxWidth": "100%"});

        
            var html_4ee4cc5e11514553bd36736c714bd3df = $(`<div id="html_4ee4cc5e11514553bd36736c714bd3df" style="width: 100.0%; height: 100.0%;">Lenox Hill Cluster 1</div>`)[0];
            popup_456578ce95364d9fb3919a9eea473301.setContent(html_4ee4cc5e11514553bd36736c714bd3df);
        

        circle_marker_5e51603eb572483499c7afdb9099e2ab.bindPopup(popup_456578ce95364d9fb3919a9eea473301)
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            var circle_marker_cfa4e3a22b28456283514512d4c3180a = L.circleMarker(
                [40.76215960576283, -73.94916769227953],
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        var popup_e9a74e3b573a409cbe736927526e76af = L.popup({"maxWidth": "100%"});

        
            var html_14849648e72449a5957744de7c3ab89b = $(`<div id="html_14849648e72449a5957744de7c3ab89b" style="width: 100.0%; height: 100.0%;">Roosevelt Island Cluster 1</div>`)[0];
            popup_e9a74e3b573a409cbe736927526e76af.setContent(html_14849648e72449a5957744de7c3ab89b);
        

        circle_marker_cfa4e3a22b28456283514512d4c3180a.bindPopup(popup_e9a74e3b573a409cbe736927526e76af)
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            var circle_marker_c40dbbf848bd4747a204977c59bfa75e = L.circleMarker(
                [40.787657998534854, -73.97705923630603],
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_bbc511fdb07c4c98a4f2eede5235d3bf = L.popup({"maxWidth": "100%"});

        
            var html_88572d295d704753aec7a36a1430f83a = $(`<div id="html_88572d295d704753aec7a36a1430f83a" style="width: 100.0%; height: 100.0%;">Upper West Side Cluster 1</div>`)[0];
            popup_bbc511fdb07c4c98a4f2eede5235d3bf.setContent(html_88572d295d704753aec7a36a1430f83a);
        

        circle_marker_c40dbbf848bd4747a204977c59bfa75e.bindPopup(popup_bbc511fdb07c4c98a4f2eede5235d3bf)
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            var circle_marker_2253a7a9a8a6491c89d9a7b67a0066e5 = L.circleMarker(
                [40.77352888942166, -73.98533777001262],
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_c47761e1581345f2abe2de2bcc42f8e2 = L.popup({"maxWidth": "100%"});

        
            var html_580f6e3b2ad14582bff14a38430ebed6 = $(`<div id="html_580f6e3b2ad14582bff14a38430ebed6" style="width: 100.0%; height: 100.0%;">Lincoln Square Cluster 2</div>`)[0];
            popup_c47761e1581345f2abe2de2bcc42f8e2.setContent(html_580f6e3b2ad14582bff14a38430ebed6);
        

        circle_marker_2253a7a9a8a6491c89d9a7b67a0066e5.bindPopup(popup_c47761e1581345f2abe2de2bcc42f8e2)
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            var circle_marker_154bb9e6cdd64940ae8653d7b0614e52 = L.circleMarker(
                [40.75910089146212, -73.99611936309479],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_0b456e081a2b440d930e9df494331103 = L.popup({"maxWidth": "100%"});

        
            var html_7327cda9dd934d4c80d3f8d471f297af = $(`<div id="html_7327cda9dd934d4c80d3f8d471f297af" style="width: 100.0%; height: 100.0%;">Clinton Cluster 2</div>`)[0];
            popup_0b456e081a2b440d930e9df494331103.setContent(html_7327cda9dd934d4c80d3f8d471f297af);
        

        circle_marker_154bb9e6cdd64940ae8653d7b0614e52.bindPopup(popup_0b456e081a2b440d930e9df494331103)
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            var circle_marker_00f182874511485390c8ccd91d91f2c1 = L.circleMarker(
                [40.75469110270623, -73.98166882730304],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_91fe6fab225d49ec83d40be8c58fa16c = L.popup({"maxWidth": "100%"});

        
            var html_6bae5af9a276406a878f173e1b1217f1 = $(`<div id="html_6bae5af9a276406a878f173e1b1217f1" style="width: 100.0%; height: 100.0%;">Midtown Cluster 1</div>`)[0];
            popup_91fe6fab225d49ec83d40be8c58fa16c.setContent(html_6bae5af9a276406a878f173e1b1217f1);
        

        circle_marker_00f182874511485390c8ccd91d91f2c1.bindPopup(popup_91fe6fab225d49ec83d40be8c58fa16c)
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            var circle_marker_4952862229724b2cbabafc24c82d49fe = L.circleMarker(
                [40.748303077252174, -73.97833207924127],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_8d0a3c0dc1264dcfbd087f2711f1f512 = L.popup({"maxWidth": "100%"});

        
            var html_2300fc35797e4c0cbfda0b7af0600ec6 = $(`<div id="html_2300fc35797e4c0cbfda0b7af0600ec6" style="width: 100.0%; height: 100.0%;">Murray Hill Cluster 1</div>`)[0];
            popup_8d0a3c0dc1264dcfbd087f2711f1f512.setContent(html_2300fc35797e4c0cbfda0b7af0600ec6);
        

        circle_marker_4952862229724b2cbabafc24c82d49fe.bindPopup(popup_8d0a3c0dc1264dcfbd087f2711f1f512)
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            var circle_marker_996aad65493249e685dca11d05c88599 = L.circleMarker(
                [40.744034706747975, -74.00311633472813],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_00f382fbc57d4c01a389d8d299e03d48 = L.popup({"maxWidth": "100%"});

        
            var html_b250af0eedd943a6b7b1d955d50214df = $(`<div id="html_b250af0eedd943a6b7b1d955d50214df" style="width: 100.0%; height: 100.0%;">Chelsea Cluster 1</div>`)[0];
            popup_00f382fbc57d4c01a389d8d299e03d48.setContent(html_b250af0eedd943a6b7b1d955d50214df);
        

        circle_marker_996aad65493249e685dca11d05c88599.bindPopup(popup_00f382fbc57d4c01a389d8d299e03d48)
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            var circle_marker_8b1ca716dd71407a89652aa0a48bd61e = L.circleMarker(
                [40.72693288536128, -73.99991402945902],
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_5149c716247d462490bd4bf1424c2b48 = L.popup({"maxWidth": "100%"});

        
            var html_5d8734800e6b44b6a7af539172bd63de = $(`<div id="html_5d8734800e6b44b6a7af539172bd63de" style="width: 100.0%; height: 100.0%;">Greenwich Village Cluster 1</div>`)[0];
            popup_5149c716247d462490bd4bf1424c2b48.setContent(html_5d8734800e6b44b6a7af539172bd63de);
        

        circle_marker_8b1ca716dd71407a89652aa0a48bd61e.bindPopup(popup_5149c716247d462490bd4bf1424c2b48)
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            var circle_marker_f1fbd1c31c204701bad3a79d23db56b3 = L.circleMarker(
                [40.727846777270244, -73.98222616506416],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_25a73d77e2004688814fa8c87db7d524 = L.popup({"maxWidth": "100%"});

        
            var html_0d3b53c09bfd4f57ba93e1f90315bb8b = $(`<div id="html_0d3b53c09bfd4f57ba93e1f90315bb8b" style="width: 100.0%; height: 100.0%;">East Village Cluster 1</div>`)[0];
            popup_25a73d77e2004688814fa8c87db7d524.setContent(html_0d3b53c09bfd4f57ba93e1f90315bb8b);
        

        circle_marker_f1fbd1c31c204701bad3a79d23db56b3.bindPopup(popup_25a73d77e2004688814fa8c87db7d524)
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            var circle_marker_fff154cd61e04f8ca2a92581723309e5 = L.circleMarker(
                [40.71780674892765, -73.98089031999291],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_189762911b704777a66ff2adab92a595 = L.popup({"maxWidth": "100%"});

        
            var html_8a3e17c7101f40f6b2230ea556be6529 = $(`<div id="html_8a3e17c7101f40f6b2230ea556be6529" style="width: 100.0%; height: 100.0%;">Lower East Side Cluster 1</div>`)[0];
            popup_189762911b704777a66ff2adab92a595.setContent(html_8a3e17c7101f40f6b2230ea556be6529);
        

        circle_marker_fff154cd61e04f8ca2a92581723309e5.bindPopup(popup_189762911b704777a66ff2adab92a595)
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            var circle_marker_5f1de76e065c4cada8c8dc9017ea9d18 = L.circleMarker(
                [40.721521967443216, -74.01068328559087],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_3520072d56534e6cb22f0b6fde3281a4 = L.popup({"maxWidth": "100%"});

        
            var html_1a3991ca37d249dd94def83d1a1f0f7a = $(`<div id="html_1a3991ca37d249dd94def83d1a1f0f7a" style="width: 100.0%; height: 100.0%;">Tribeca Cluster 1</div>`)[0];
            popup_3520072d56534e6cb22f0b6fde3281a4.setContent(html_1a3991ca37d249dd94def83d1a1f0f7a);
        

        circle_marker_5f1de76e065c4cada8c8dc9017ea9d18.bindPopup(popup_3520072d56534e6cb22f0b6fde3281a4)
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            var circle_marker_2d4aa1c9158f431685868350d3122047 = L.circleMarker(
                [40.71932379395907, -73.99730467208073],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_823125ef4c7d4022b9153380855fe8db = L.popup({"maxWidth": "100%"});

        
            var html_bf292e9888694f15b06cbb03aaf98343 = $(`<div id="html_bf292e9888694f15b06cbb03aaf98343" style="width: 100.0%; height: 100.0%;">Little Italy Cluster 1</div>`)[0];
            popup_823125ef4c7d4022b9153380855fe8db.setContent(html_bf292e9888694f15b06cbb03aaf98343);
        

        circle_marker_2d4aa1c9158f431685868350d3122047.bindPopup(popup_823125ef4c7d4022b9153380855fe8db)
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            var circle_marker_f1fe1ca6db8641bea3adaa28a2110fcf = L.circleMarker(
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_285f422260db46ecb307c8df9c952e25 = L.popup({"maxWidth": "100%"});

        
            var html_d8b73d5a6be64c9dbd21c537ffd8fbbe = $(`<div id="html_d8b73d5a6be64c9dbd21c537ffd8fbbe" style="width: 100.0%; height: 100.0%;">Soho Cluster 1</div>`)[0];
            popup_285f422260db46ecb307c8df9c952e25.setContent(html_d8b73d5a6be64c9dbd21c537ffd8fbbe);
        

        circle_marker_f1fe1ca6db8641bea3adaa28a2110fcf.bindPopup(popup_285f422260db46ecb307c8df9c952e25)
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            var circle_marker_ab13ba2e308c48d2a3b461abfb1b8aee = L.circleMarker(
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_13f4341d9004417f82a8499b32e87f7d = L.popup({"maxWidth": "100%"});

        
            var html_c4026689381e48228b57afafba856515 = $(`<div id="html_c4026689381e48228b57afafba856515" style="width: 100.0%; height: 100.0%;">West Village Cluster 2</div>`)[0];
            popup_13f4341d9004417f82a8499b32e87f7d.setContent(html_c4026689381e48228b57afafba856515);
        

        circle_marker_ab13ba2e308c48d2a3b461abfb1b8aee.bindPopup(popup_13f4341d9004417f82a8499b32e87f7d)
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            var circle_marker_9ac9e48ec9004b25b56cac49bfd35bf1 = L.circleMarker(
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_f392cc6de3fb4cda86f21b885b228b3e = L.popup({"maxWidth": "100%"});

        
            var html_d998a594a6184657a258d7a86117a9cd = $(`<div id="html_d998a594a6184657a258d7a86117a9cd" style="width: 100.0%; height: 100.0%;">Manhattan Valley Cluster 0</div>`)[0];
            popup_f392cc6de3fb4cda86f21b885b228b3e.setContent(html_d998a594a6184657a258d7a86117a9cd);
        

        circle_marker_9ac9e48ec9004b25b56cac49bfd35bf1.bindPopup(popup_f392cc6de3fb4cda86f21b885b228b3e)
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            var circle_marker_fea3d1ec161f4663ae13c4a397ce31c9 = L.circleMarker(
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_527d639268404c45a8131cf7a8d2fd8f = L.popup({"maxWidth": "100%"});

        
            var html_ae50763bb39d44adae9dcdaaef96d3d8 = $(`<div id="html_ae50763bb39d44adae9dcdaaef96d3d8" style="width: 100.0%; height: 100.0%;">Morningside Heights Cluster 1</div>`)[0];
            popup_527d639268404c45a8131cf7a8d2fd8f.setContent(html_ae50763bb39d44adae9dcdaaef96d3d8);
        

        circle_marker_fea3d1ec161f4663ae13c4a397ce31c9.bindPopup(popup_527d639268404c45a8131cf7a8d2fd8f)
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            var circle_marker_4010edbe45e94c9c98fabbd8436d431b = L.circleMarker(
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            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_b87e23e32651406e906e462e2fb2e072 = L.popup({"maxWidth": "100%"});

        
            var html_a6200e7c94594a718af29435d7b0a1fb = $(`<div id="html_a6200e7c94594a718af29435d7b0a1fb" style="width: 100.0%; height: 100.0%;">Gramercy Cluster 1</div>`)[0];
            popup_b87e23e32651406e906e462e2fb2e072.setContent(html_a6200e7c94594a718af29435d7b0a1fb);
        

        circle_marker_4010edbe45e94c9c98fabbd8436d431b.bindPopup(popup_b87e23e32651406e906e462e2fb2e072)
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            var circle_marker_8fc823f3ee7544b08b37592dffc40fa4 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_facf5f066d21444fb7ee04190354bc89 = L.popup({"maxWidth": "100%"});

        
            var html_b95e6c1d2a3a4fd9a106bc7f07cd0c8a = $(`<div id="html_b95e6c1d2a3a4fd9a106bc7f07cd0c8a" style="width: 100.0%; height: 100.0%;">Battery Park City Cluster 1</div>`)[0];
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        circle_marker_8fc823f3ee7544b08b37592dffc40fa4.bindPopup(popup_facf5f066d21444fb7ee04190354bc89)
        ;

        
    
    
            var circle_marker_061eedec94634c47bf680522953a9ae5 = L.circleMarker(
                [40.70710710727048, -74.0106654452127],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_23bf79772d5b4932b40dc9a5e042d388 = L.popup({"maxWidth": "100%"});

        
            var html_fab863ddacab42b7a280ec5ef83d14f5 = $(`<div id="html_fab863ddacab42b7a280ec5ef83d14f5" style="width: 100.0%; height: 100.0%;">Financial District Cluster 1</div>`)[0];
            popup_23bf79772d5b4932b40dc9a5e042d388.setContent(html_fab863ddacab42b7a280ec5ef83d14f5);
        

        circle_marker_061eedec94634c47bf680522953a9ae5.bindPopup(popup_23bf79772d5b4932b40dc9a5e042d388)
        ;

        
    
    
            var circle_marker_23262cfdffc64bfbbe760e0c62e93279 = L.circleMarker(
                [40.7826825671257, -73.95325646837112],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_b2834a9500d44ef6b90e761e3d5cd4f6 = L.popup({"maxWidth": "100%"});

        
            var html_82ee064c5c424733b169bc1857c13a89 = $(`<div id="html_82ee064c5c424733b169bc1857c13a89" style="width: 100.0%; height: 100.0%;">Carnegie Hill Cluster 1</div>`)[0];
            popup_b2834a9500d44ef6b90e761e3d5cd4f6.setContent(html_82ee064c5c424733b169bc1857c13a89);
        

        circle_marker_23262cfdffc64bfbbe760e0c62e93279.bindPopup(popup_b2834a9500d44ef6b90e761e3d5cd4f6)
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            var circle_marker_7f73e2ac0480490b9903a225d1d049a7 = L.circleMarker(
                [40.72325901885768, -73.98843368023597],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_8216f42c401f47b2942f6b01f14fb324 = L.popup({"maxWidth": "100%"});

        
            var html_8de17324a0d2478bb5de1efc7b425e9b = $(`<div id="html_8de17324a0d2478bb5de1efc7b425e9b" style="width: 100.0%; height: 100.0%;">Noho Cluster 1</div>`)[0];
            popup_8216f42c401f47b2942f6b01f14fb324.setContent(html_8de17324a0d2478bb5de1efc7b425e9b);
        

        circle_marker_7f73e2ac0480490b9903a225d1d049a7.bindPopup(popup_8216f42c401f47b2942f6b01f14fb324)
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            var circle_marker_b7a087c7045545029b4fd261f303095a = L.circleMarker(
                [40.71522892046282, -74.00541529873355],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_36ee07931e3941a49304f97ca429e0b4 = L.popup({"maxWidth": "100%"});

        
            var html_c646e497da6243bab67be47e22055368 = $(`<div id="html_c646e497da6243bab67be47e22055368" style="width: 100.0%; height: 100.0%;">Civic Center Cluster 1</div>`)[0];
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        circle_marker_b7a087c7045545029b4fd261f303095a.bindPopup(popup_36ee07931e3941a49304f97ca429e0b4)
        ;

        
    
    
            var circle_marker_229c606ec26241729532dfedacbba6d5 = L.circleMarker(
                [40.7485096643122, -73.98871313285247],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_6724e03840974e83a3aef751313749d4 = L.popup({"maxWidth": "100%"});

        
            var html_2dd7dbb60b7945c48cb311b68b10babc = $(`<div id="html_2dd7dbb60b7945c48cb311b68b10babc" style="width: 100.0%; height: 100.0%;">Midtown South Cluster 1</div>`)[0];
            popup_6724e03840974e83a3aef751313749d4.setContent(html_2dd7dbb60b7945c48cb311b68b10babc);
        

        circle_marker_229c606ec26241729532dfedacbba6d5.bindPopup(popup_6724e03840974e83a3aef751313749d4)
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            var circle_marker_a3a55afe006c4f438a79005d5b91c8af = L.circleMarker(
                [40.76028033131374, -73.96355614094303],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_40b3e9a25d1b4e848df133e8d01057df = L.popup({"maxWidth": "100%"});

        
            var html_9019cfe4eaf147a1b9d5a0666994bade = $(`<div id="html_9019cfe4eaf147a1b9d5a0666994bade" style="width: 100.0%; height: 100.0%;">Sutton Place Cluster 1</div>`)[0];
            popup_40b3e9a25d1b4e848df133e8d01057df.setContent(html_9019cfe4eaf147a1b9d5a0666994bade);
        

        circle_marker_a3a55afe006c4f438a79005d5b91c8af.bindPopup(popup_40b3e9a25d1b4e848df133e8d01057df)
        ;

        
    
    
            var circle_marker_9d779180cf8e4714a19ac6915cf253f5 = L.circleMarker(
                [40.75204236950722, -73.96770824581834],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_61967be52ccd4fda9691a876131e2f74 = L.popup({"maxWidth": "100%"});

        
            var html_6e770bb764f14ba5a69ee50011672abc = $(`<div id="html_6e770bb764f14ba5a69ee50011672abc" style="width: 100.0%; height: 100.0%;">Turtle Bay Cluster 1</div>`)[0];
            popup_61967be52ccd4fda9691a876131e2f74.setContent(html_6e770bb764f14ba5a69ee50011672abc);
        

        circle_marker_9d779180cf8e4714a19ac6915cf253f5.bindPopup(popup_61967be52ccd4fda9691a876131e2f74)
        ;

        
    
    
            var circle_marker_cddbde8389fb4c20849401758c013df1 = L.circleMarker(
                [40.746917410740195, -73.97121928722265],
                {"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_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_ffda7d423ae94b1d8bb3c20f43a56068 = L.popup({"maxWidth": "100%"});

        
            var html_73c8e92822d7499e883838e8e378d291 = $(`<div id="html_73c8e92822d7499e883838e8e378d291" style="width: 100.0%; height: 100.0%;">Tudor City Cluster 0</div>`)[0];
            popup_ffda7d423ae94b1d8bb3c20f43a56068.setContent(html_73c8e92822d7499e883838e8e378d291);
        

        circle_marker_cddbde8389fb4c20849401758c013df1.bindPopup(popup_ffda7d423ae94b1d8bb3c20f43a56068)
        ;

        
    
    
            var circle_marker_abb0ca85554d4e38af6e4698f9c9f407 = L.circleMarker(
                [40.73099955477061, -73.97405170469203],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_0b07f117e5f84fb9b9cb2e1869ec31bc = L.popup({"maxWidth": "100%"});

        
            var html_a8e2baab21084ab78ba40117b2a4ef23 = $(`<div id="html_a8e2baab21084ab78ba40117b2a4ef23" style="width: 100.0%; height: 100.0%;">Stuyvesant Town Cluster 4</div>`)[0];
            popup_0b07f117e5f84fb9b9cb2e1869ec31bc.setContent(html_a8e2baab21084ab78ba40117b2a4ef23);
        

        circle_marker_abb0ca85554d4e38af6e4698f9c9f407.bindPopup(popup_0b07f117e5f84fb9b9cb2e1869ec31bc)
        ;

        
    
    
            var circle_marker_3ddd403464174940abd2bff008661f8e = L.circleMarker(
                [40.739673047638426, -73.9909471052826],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_f2a253af87a842c9981689ba116a6b45 = L.popup({"maxWidth": "100%"});

        
            var html_fcce317ccbdf43869caa69af3a8b77a5 = $(`<div id="html_fcce317ccbdf43869caa69af3a8b77a5" style="width: 100.0%; height: 100.0%;">Flatiron Cluster 1</div>`)[0];
            popup_f2a253af87a842c9981689ba116a6b45.setContent(html_fcce317ccbdf43869caa69af3a8b77a5);
        

        circle_marker_3ddd403464174940abd2bff008661f8e.bindPopup(popup_f2a253af87a842c9981689ba116a6b45)
        ;

        
    
    
            var circle_marker_3126fe069a7743d3b6f37fbee8302046 = L.circleMarker(
                [40.75665808227519, -74.00011136202637],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_e1262b4127824ac8be2d00011eb4256f);
        
    
        var popup_fa3f97c4f0a146d18738cba34eab9b2b = L.popup({"maxWidth": "100%"});

        
            var html_4412b7125f574f9194b05a5268171f31 = $(`<div id="html_4412b7125f574f9194b05a5268171f31" style="width: 100.0%; height: 100.0%;">Hudson Yards Cluster 2</div>`)[0];
            popup_fa3f97c4f0a146d18738cba34eab9b2b.setContent(html_4412b7125f574f9194b05a5268171f31);
        

        circle_marker_3126fe069a7743d3b6f37fbee8302046.bindPopup(popup_fa3f97c4f0a146d18738cba34eab9b2b)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x20f85479388>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(manhattan_merged['Latitude'], manhattan_merged['Longitude'], manhattan_merged['Neighborhood'], manhattan_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's examine each cluster and determine the discriminating venue categories that distinguish each cluster."
   ]
  },
  {
   "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",
       "      <td>3</td>\n",
       "      <td>Inwood</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Frozen Yogurt Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Hamilton Heights</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Manhattanville</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>East Harlem</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Manhattan Valley</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>Tudor City</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Neighborhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "3             Inwood    Mexican Restaurant                Lounge   \n",
       "4   Hamilton Heights           Pizza Place                  Café   \n",
       "5     Manhattanville           Coffee Shop         Deli / Bodega   \n",
       "7        East Harlem    Mexican Restaurant         Deli / Bodega   \n",
       "25  Manhattan Valley                   Bar           Pizza Place   \n",
       "36        Tudor City                  Café                  Park   \n",
       "\n",
       "        3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "3                        Café           Pizza Place            Restaurant   \n",
       "4                 Coffee Shop         Deli / Bodega    Mexican Restaurant   \n",
       "5          Chinese Restaurant                  Park    Italian Restaurant   \n",
       "7   Latin American Restaurant                Bakery       Thai Restaurant   \n",
       "25          Indian Restaurant    Mexican Restaurant           Yoga Studio   \n",
       "36         Mexican Restaurant      Greek Restaurant           Pizza Place   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "3     Spanish Restaurant                Bakery    Chinese Restaurant   \n",
       "4            Yoga Studio  Caribbean Restaurant      Sushi Restaurant   \n",
       "5     Seafood Restaurant    Mexican Restaurant              Boutique   \n",
       "7            Pizza Place                  Park            Restaurant   \n",
       "25       Thai Restaurant           Coffee Shop        Farmers Market   \n",
       "36                 Diner           Coffee Shop         Deli / Bodega   \n",
       "\n",
       "   9th Most Common Venue     10th Most Common Venue  \n",
       "3     Frozen Yogurt Shop                       Park  \n",
       "4      Indian Restaurant                       Park  \n",
       "5           Climbing Gym         Falafel Restaurant  \n",
       "7               Beer Bar           Cuban Restaurant  \n",
       "25      Sushi Restaurant  Latin American Restaurant  \n",
       "36      Asian Restaurant           Sushi Restaurant  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 1\n",
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 0, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Hotpot Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Washington Heights</td>\n",
       "      <td>Café</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Supplement Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Central Harlem</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>African Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>Exhibit</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Yorkville</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Wine Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Lenox Hill</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Roosevelt Island</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Indie Theater</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>School</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Residential Building (Apartment / Condo)</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Midtown</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Murray Hill</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Greenwich Village</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>East Village</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Lower East Side</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>Tribeca</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Little Italy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Hotpot Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Soho</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Morningside Heights</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Gramercy</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Diner</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Battery Park City</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Memorial Site</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Financial District</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Carnegie Hill</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Noho</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Rock Club</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>Civic Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Midtown South</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Hotel Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Sutton Place</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Beer Garden</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>Turtle Bay</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>Flatiron</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Neighborhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "1             Chinatown    Chinese Restaurant          Cocktail Bar   \n",
       "2    Washington Heights                  Café         Grocery Store   \n",
       "6        Central Harlem    Chinese Restaurant                   Bar   \n",
       "8       Upper East Side               Exhibit    Italian Restaurant   \n",
       "9             Yorkville    Italian Restaurant                   Gym   \n",
       "10           Lenox Hill           Coffee Shop           Pizza Place   \n",
       "11     Roosevelt Island        Sandwich Place                  Park   \n",
       "12      Upper West Side    Italian Restaurant              Wine Bar   \n",
       "15              Midtown                 Hotel           Coffee Shop   \n",
       "16          Murray Hill        Sandwich Place           Coffee Shop   \n",
       "17              Chelsea           Coffee Shop    Italian Restaurant   \n",
       "18    Greenwich Village    Italian Restaurant      Sushi Restaurant   \n",
       "19         East Village                   Bar        Ice Cream Shop   \n",
       "20      Lower East Side           Art Gallery                  Café   \n",
       "21              Tribeca   American Restaurant                  Park   \n",
       "22         Little Italy                Bakery                  Café   \n",
       "23                 Soho        Clothing Store              Boutique   \n",
       "26  Morningside Heights                  Park             Bookstore   \n",
       "27             Gramercy    Italian Restaurant                   Bar   \n",
       "28    Battery Park City                  Park           Coffee Shop   \n",
       "29   Financial District           Coffee Shop                   Bar   \n",
       "30        Carnegie Hill           Coffee Shop           Pizza Place   \n",
       "31                 Noho     French Restaurant    Italian Restaurant   \n",
       "32         Civic Center  Gym / Fitness Center           Coffee Shop   \n",
       "33        Midtown South     Korean Restaurant             Hotel Bar   \n",
       "34         Sutton Place  Gym / Fitness Center    Italian Restaurant   \n",
       "35           Turtle Bay    Italian Restaurant            Steakhouse   \n",
       "38             Flatiron           Yoga Studio   Japanese Restaurant   \n",
       "\n",
       "     3rd Most Common Venue  4th Most Common Venue   5th Most Common Venue  \\\n",
       "1      American Restaurant  Vietnamese Restaurant      Salon / Barbershop   \n",
       "2                   Bakery      Mobile Phone Shop      Mexican Restaurant   \n",
       "6       Seafood Restaurant     African Restaurant     American Restaurant   \n",
       "8              Art Gallery                 Bakery               Juice Bar   \n",
       "9              Coffee Shop                    Bar             Pizza Place   \n",
       "10      Italian Restaurant           Cocktail Bar        Sushi Restaurant   \n",
       "11           Indie Theater         Baseball Field         Bubble Tea Shop   \n",
       "12                     Bar            Coffee Shop       Indian Restaurant   \n",
       "15          Clothing Store    Sporting Goods Shop                  Bakery   \n",
       "16     Japanese Restaurant    American Restaurant    Gym / Fitness Center   \n",
       "17                  Bakery         Ice Cream Shop     American Restaurant   \n",
       "18          Clothing Store                   Café       French Restaurant   \n",
       "19      Chinese Restaurant           Cocktail Bar      Mexican Restaurant   \n",
       "20             Pizza Place            Coffee Shop        Ramen Restaurant   \n",
       "21      Italian Restaurant                   Café                Wine Bar   \n",
       "22      Italian Restaurant         Sandwich Place      Salon / Barbershop   \n",
       "23      Italian Restaurant            Art Gallery           Women's Store   \n",
       "26     American Restaurant            Coffee Shop             Pizza Place   \n",
       "27              Bagel Shop        Thai Restaurant  Thrift / Vintage Store   \n",
       "28                   Hotel                    Gym          Clothing Store   \n",
       "29     American Restaurant             Food Truck             Pizza Place   \n",
       "30                    Café            Yoga Studio       French Restaurant   \n",
       "31             Pizza Place           Cocktail Bar     American Restaurant   \n",
       "32                   Hotel      French Restaurant                     Spa   \n",
       "33                   Hotel    Japanese Restaurant             Coffee Shop   \n",
       "34  Furniture / Home Store                    Gym       Indian Restaurant   \n",
       "35        Sushi Restaurant            Coffee Shop                Wine Bar   \n",
       "38     American Restaurant                   Café    Gym / Fitness Center   \n",
       "\n",
       "       6th Most Common Venue     7th Most Common Venue  \\\n",
       "1                        Spa                    Bakery   \n",
       "2         Spanish Restaurant            Sandwich Place   \n",
       "6             Cosmetics Shop               Art Gallery   \n",
       "8       Gym / Fitness Center               Pizza Place   \n",
       "9              Deli / Bodega          Sushi Restaurant   \n",
       "10              Burger Joint                       Gym   \n",
       "11              Soccer Field                    School   \n",
       "12  Mediterranean Restaurant                      Café   \n",
       "15                      Café                   Theater   \n",
       "16                       Bar                     Hotel   \n",
       "17               Art Gallery                 Nightclub   \n",
       "18        Seafood Restaurant         Indian Restaurant   \n",
       "19                  Wine Bar               Pizza Place   \n",
       "20        Chinese Restaurant                    Bakery   \n",
       "21          Greek Restaurant               Coffee Shop   \n",
       "22           Bubble Tea Shop  Mediterranean Restaurant   \n",
       "23  Mediterranean Restaurant                Shoe Store   \n",
       "26              Burger Joint                Food Truck   \n",
       "27        Mexican Restaurant               Pizza Place   \n",
       "28             Memorial Site                 BBQ Joint   \n",
       "29                     Hotel                       Gym   \n",
       "30       Japanese Restaurant        Italian Restaurant   \n",
       "31               Coffee Shop                 Rock Club   \n",
       "32        Italian Restaurant                    Bakery   \n",
       "33              Dessert Shop      Gym / Fitness Center   \n",
       "34               Coffee Shop               Yoga Studio   \n",
       "35                      Park          Ramen Restaurant   \n",
       "38            Cosmetics Shop              Dessert Shop   \n",
       "\n",
       "      8th Most Common Venue                     9th Most Common Venue  \\\n",
       "1              Optical Shop                         Hotpot Restaurant   \n",
       "2        Chinese Restaurant                               Supermarket   \n",
       "6         French Restaurant                                       Spa   \n",
       "8         French Restaurant                                     Hotel   \n",
       "9                 Wine Shop                       Japanese Restaurant   \n",
       "10                     Café                      Gym / Fitness Center   \n",
       "11              Coffee Shop  Residential Building (Apartment / Condo)   \n",
       "12                   Bakery                            Breakfast Spot   \n",
       "15               Steakhouse                              Cocktail Bar   \n",
       "16       Italian Restaurant                               Pizza Place   \n",
       "17                    Hotel                                   Theater   \n",
       "18             Dessert Shop                            Ice Cream Shop   \n",
       "19       Italian Restaurant                                 Speakeasy   \n",
       "20             Cocktail Bar                       Japanese Restaurant   \n",
       "21              Men's Store                                       Spa   \n",
       "22             Cocktail Bar                                  Tea Room   \n",
       "23                   Bakery                       Sporting Goods Shop   \n",
       "26            Deli / Bodega                            Sandwich Place   \n",
       "27             Cocktail Bar                                     Diner   \n",
       "28            Women's Store                              Gourmet Shop   \n",
       "29     Gym / Fitness Center                                Steakhouse   \n",
       "30                   Bakery                                       Gym   \n",
       "31                Bookstore                                 Gift Shop   \n",
       "32           Sandwich Place                              Cocktail Bar   \n",
       "33           Cosmetics Shop                       American Restaurant   \n",
       "34         Department Store                               Beer Garden   \n",
       "35        French Restaurant                                      Café   \n",
       "38  New American Restaurant                               Coffee Shop   \n",
       "\n",
       "      10th Most Common Venue  \n",
       "1             Ice Cream Shop  \n",
       "2            Supplement Shop  \n",
       "6       Gym / Fitness Center  \n",
       "8                Coffee Shop  \n",
       "9         Mexican Restaurant  \n",
       "10               Salad Place  \n",
       "11                Playground  \n",
       "12           Thai Restaurant  \n",
       "15                 Bookstore  \n",
       "16  Mediterranean Restaurant  \n",
       "17                    Market  \n",
       "18              Burger Joint  \n",
       "19         Korean Restaurant  \n",
       "20                   Butcher  \n",
       "21                Playground  \n",
       "22         Hotpot Restaurant  \n",
       "23               Men's Store  \n",
       "26                Donut Shop  \n",
       "27       American Restaurant  \n",
       "28        Italian Restaurant  \n",
       "29              Cocktail Bar  \n",
       "30                 Bookstore  \n",
       "31               Art Gallery  \n",
       "32               Yoga Studio  \n",
       "33               Salad Place  \n",
       "34          Sushi Restaurant  \n",
       "35       Japanese Restaurant  \n",
       "38            Clothing Store  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 2\n",
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 1, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
  },
  {
   "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>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Lincoln Square</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Café</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Wine Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>West Village</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Wine Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>Hudson Yards</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood 1st Most Common Venue    2nd Most Common Venue  \\\n",
       "13  Lincoln Square                 Plaza       Italian Restaurant   \n",
       "14         Clinton               Theater     Gym / Fitness Center   \n",
       "24    West Village    Italian Restaurant  New American Restaurant   \n",
       "39    Hudson Yards   American Restaurant       Italian Restaurant   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "13               Theater                  Café          Concert Hall   \n",
       "14    Italian Restaurant   American Restaurant                   Spa   \n",
       "24        Cosmetics Shop              Wine Bar   American Restaurant   \n",
       "39  Gym / Fitness Center                  Café                 Hotel   \n",
       "\n",
       "    6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "13  Performing Arts Venue  Gym / Fitness Center   American Restaurant   \n",
       "14            Coffee Shop             Wine Shop                   Gym   \n",
       "24                   Park          Cocktail Bar        Ice Cream Shop   \n",
       "39            Coffee Shop                   Bar          Burger Joint   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "13   Indie Movie Theater                   Park  \n",
       "14                 Hotel         Sandwich Place  \n",
       "24           Coffee Shop                Theater  \n",
       "39                   Gym     Spanish Restaurant  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 3\n",
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 2, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Tennis Stadium</td>\n",
       "      <td>Supplement Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0  Marble Hill        Sandwich Place                   Gym   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0           Coffee Shop            Donut Shop        Tennis Stadium   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0       Supplement Shop            Steakhouse         Shopping Mall   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "0    Seafood Restaurant            Yoga Studio  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 4\n",
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 3, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>Stuyvesant Town</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pet Service</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>German Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "37  Stuyvesant Town                   Bar                  Park   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "37           Pet Service         Boat or Ferry        Baseball Field   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "37     German Restaurant  Gym / Fitness Center          Cocktail Bar   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "37       Harbor / Marina            Coffee Shop  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 5\n",
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 4, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obtain nearby venues in Toronto for our analysis\n",
    "Now let's do the same analysis for Toronto and see if we get better result in Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Harbourfront\n",
      "Queen's Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Adelaide, King, Richmond\n",
      "Dovercourt Village, Dufferin\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Little Portugal, Trinity\n",
      "The Danforth West, Riverdale\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "The Beaches West, India Bazaar\n",
      "Commerce Court, Victoria Hotel\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill North, Forest Hill West\n",
      "High Park, The Junction South\n",
      "North Toronto West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Parkdale, Roncesvalles\n",
      "Davisville\n",
      "Harbord, University of Toronto\n",
      "Runnymede, Swansea\n",
      "Moore Park, Summerhill East\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Rosedale\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "Cabbagetown, St. James Town\n",
      "First Canadian Place, Underground city\n",
      "Church and Wellesley\n",
      "Business Reply Mail Processing Centre 969 Eastern\n"
     ]
    }
   ],
   "source": [
    "# get venue data for Toronto neighbourhood\n",
    "toronto_venues_df = getNearbyVenues(names=toronto_df['Neighborhood'],\n",
    "                                   latitudes=toronto_df['Latitude'],\n",
    "                                   longitudes=toronto_df['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# analyse each neighborhood\n",
    "# use one hot encoding for each venue category\n",
    "toronto_onehot = pd.get_dummies(toronto_venues_df[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add the neighborhood column back into the dataframe\n",
    "toronto_onehot['Neighborhood'] = toronto_venues_df['Neighborhood']\n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "# group rows by neighborhood and calculate the mean of the frequency of occurrence for each category\n",
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Workshop</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Stop</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Climbing Gym</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Auditorium</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Costume Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Frozen Yogurt Shop</th>\n",
       "      <th>Fruit &amp; Vegetable Store</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Garden</th>\n",
       "      <th>Garden Center</th>\n",
       "      <th>Gas Station</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Gluten-free Restaurant</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Health Food Store</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hospital</th>\n",
       "      <th>Hostel</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Hotpot Restaurant</th>\n",
       "      <th>IT Services</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indoor Play Area</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>Juice Bar</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Lake</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Light Rail Station</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Mac &amp; Cheese Joint</th>\n",
       "      <th>Market</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Plane</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Recording Studio</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skate Park</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Stadium</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Swim School</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.017857</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.035714</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.035714</td>\n",
       "      <td>0.071429</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.017857</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017857</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.017857</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.017857</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.017857</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.017857</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
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       "      <td>0.055556</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.00</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood  Yoga Studio  \\\n",
       "0                           Adelaide, King, Richmond     0.000000   \n",
       "1                                        Berczy Park     0.000000   \n",
       "2       Brockton, Exhibition Place, Parkdale Village     0.000000   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern     0.055556   \n",
       "4  CN Tower, Bathurst Quay, Island airport, Harbo...     0.000000   \n",
       "\n",
       "   Afghan Restaurant   Airport  Airport Food Court  Airport Lounge  \\\n",
       "0                0.0  0.000000            0.000000        0.000000   \n",
       "1                0.0  0.000000            0.000000        0.000000   \n",
       "2                0.0  0.000000            0.000000        0.000000   \n",
       "3                0.0  0.000000            0.000000        0.000000   \n",
       "4                0.0  0.058824            0.058824        0.117647   \n",
       "\n",
       "   Airport Service  Airport Terminal  American Restaurant  Antique Shop  \\\n",
       "0         0.000000          0.000000                 0.02           0.0   \n",
       "1         0.000000          0.000000                 0.00           0.0   \n",
       "2         0.000000          0.000000                 0.00           0.0   \n",
       "3         0.000000          0.000000                 0.00           0.0   \n",
       "4         0.176471          0.117647                 0.00           0.0   \n",
       "\n",
       "   Aquarium  Art Gallery  Arts & Crafts Store  Asian Restaurant  \\\n",
       "0       0.0     0.010000                  0.0              0.02   \n",
       "1       0.0     0.017857                  0.0              0.00   \n",
       "2       0.0     0.000000                  0.0              0.00   \n",
       "3       0.0     0.000000                  0.0              0.00   \n",
       "4       0.0     0.000000                  0.0              0.00   \n",
       "\n",
       "   Athletics & Sports  Auto Workshop  BBQ Joint  Baby Store  Bagel Shop  \\\n",
       "0                 0.0       0.000000   0.000000         0.0    0.000000   \n",
       "1                 0.0       0.000000   0.017857         0.0    0.017857   \n",
       "2                 0.0       0.000000   0.000000         0.0    0.000000   \n",
       "3                 0.0       0.055556   0.000000         0.0    0.000000   \n",
       "4                 0.0       0.000000   0.000000         0.0    0.000000   \n",
       "\n",
       "     Bakery  Bank       Bar  Baseball Stadium  Basketball Stadium     Beach  \\\n",
       "0  0.030000   0.0  0.040000               0.0            0.000000  0.000000   \n",
       "1  0.035714   0.0  0.000000               0.0            0.017857  0.017857   \n",
       "2  0.086957   0.0  0.043478               0.0            0.000000  0.000000   \n",
       "3  0.000000   0.0  0.000000               0.0            0.000000  0.000000   \n",
       "4  0.000000   0.0  0.058824               0.0            0.000000  0.000000   \n",
       "\n",
       "   Bed & Breakfast  Beer Bar  Beer Store  Belgian Restaurant    Bistro  \\\n",
       "0              0.0  0.000000         0.0            0.000000  0.000000   \n",
       "1              0.0  0.035714         0.0            0.017857  0.017857   \n",
       "2              0.0  0.000000         0.0            0.000000  0.000000   \n",
       "3              0.0  0.000000         0.0            0.000000  0.000000   \n",
       "4              0.0  0.000000         0.0            0.000000  0.000000   \n",
       "\n",
       "   Boat or Ferry  Bookstore  Boutique  Brazilian Restaurant  Breakfast Spot  \\\n",
       "0       0.000000       0.01  0.000000                  0.01        0.020000   \n",
       "1       0.000000       0.00  0.000000                  0.00        0.000000   \n",
       "2       0.000000       0.00  0.000000                  0.00        0.086957   \n",
       "3       0.000000       0.00  0.000000                  0.00        0.000000   \n",
       "4       0.058824       0.00  0.058824                  0.00        0.000000   \n",
       "\n",
       "    Brewery  Bubble Tea Shop  Building  Burger Joint  Burrito Place  Bus Line  \\\n",
       "0  0.000000              0.0      0.01          0.03       0.010000       0.0   \n",
       "1  0.000000              0.0      0.00          0.00       0.000000       0.0   \n",
       "2  0.000000              0.0      0.00          0.00       0.043478       0.0   \n",
       "3  0.055556              0.0      0.00          0.00       0.055556       0.0   \n",
       "4  0.000000              0.0      0.00          0.00       0.000000       0.0   \n",
       "\n",
       "   Bus Stop   Butcher      Café  Cajun / Creole Restaurant  Camera Store  \\\n",
       "0       0.0  0.000000  0.040000                        0.0           0.0   \n",
       "1       0.0  0.017857  0.035714                        0.0           0.0   \n",
       "2       0.0  0.000000  0.130435                        0.0           0.0   \n",
       "3       0.0  0.000000  0.000000                        0.0           0.0   \n",
       "4       0.0  0.000000  0.000000                        0.0           0.0   \n",
       "\n",
       "   Candy Store  Caribbean Restaurant  Cheese Shop  Chinese Restaurant  \\\n",
       "0          0.0                   0.0     0.000000                 0.0   \n",
       "1          0.0                   0.0     0.035714                 0.0   \n",
       "2          0.0                   0.0     0.000000                 0.0   \n",
       "3          0.0                   0.0     0.000000                 0.0   \n",
       "4          0.0                   0.0     0.000000                 0.0   \n",
       "\n",
       "   Chocolate Shop  Church  Climbing Gym  Clothing Store  Cocktail Bar  \\\n",
       "0             0.0     0.0      0.000000            0.01      0.000000   \n",
       "1             0.0     0.0      0.000000            0.00      0.035714   \n",
       "2             0.0     0.0      0.043478            0.00      0.000000   \n",
       "3             0.0     0.0      0.000000            0.00      0.000000   \n",
       "4             0.0     0.0      0.000000            0.00      0.000000   \n",
       "\n",
       "   Coffee Shop  College Arts Building  College Auditorium  College Gym  \\\n",
       "0     0.060000                    0.0                 0.0          0.0   \n",
       "1     0.071429                    0.0                 0.0          0.0   \n",
       "2     0.086957                    0.0                 0.0          0.0   \n",
       "3     0.000000                    0.0                 0.0          0.0   \n",
       "4     0.058824                    0.0                 0.0          0.0   \n",
       "\n",
       "   College Rec Center  Colombian Restaurant  Comfort Food Restaurant  \\\n",
       "0                 0.0                  0.01                 0.000000   \n",
       "1                 0.0                  0.00                 0.017857   \n",
       "2                 0.0                  0.00                 0.000000   \n",
       "3                 0.0                  0.00                 0.000000   \n",
       "4                 0.0                  0.00                 0.000000   \n",
       "\n",
       "   Comic Shop  Concert Hall  Convenience Store  Cosmetics Shop  Costume Shop  \\\n",
       "0    0.000000      0.020000           0.000000            0.03           0.0   \n",
       "1    0.000000      0.017857           0.000000            0.00           0.0   \n",
       "2    0.000000      0.000000           0.043478            0.00           0.0   \n",
       "3    0.055556      0.000000           0.000000            0.00           0.0   \n",
       "4    0.000000      0.000000           0.000000            0.00           0.0   \n",
       "\n",
       "   Coworking Space  Creperie  Cuban Restaurant  Cupcake Shop  Dance Studio  \\\n",
       "0              0.0  0.000000               0.0           0.0           0.0   \n",
       "1              0.0  0.017857               0.0           0.0           0.0   \n",
       "2              0.0  0.000000               0.0           0.0           0.0   \n",
       "3              0.0  0.000000               0.0           0.0           0.0   \n",
       "4              0.0  0.000000               0.0           0.0           0.0   \n",
       "\n",
       "   Deli / Bodega  Department Store  Dessert Shop  Dim Sum Restaurant  \\\n",
       "0           0.01          0.010000           0.0                 0.0   \n",
       "1           0.00          0.017857           0.0                 0.0   \n",
       "2           0.00          0.000000           0.0                 0.0   \n",
       "3           0.00          0.000000           0.0                 0.0   \n",
       "4           0.00          0.000000           0.0                 0.0   \n",
       "\n",
       "      Diner  Discount Store  Dog Run  Doner Restaurant  Donut Shop  \\\n",
       "0  0.000000             0.0      0.0               0.0         0.0   \n",
       "1  0.017857             0.0      0.0               0.0         0.0   \n",
       "2  0.000000             0.0      0.0               0.0         0.0   \n",
       "3  0.000000             0.0      0.0               0.0         0.0   \n",
       "4  0.000000             0.0      0.0               0.0         0.0   \n",
       "\n",
       "   Dumpling Restaurant  Eastern European Restaurant  Electronics Store  \\\n",
       "0                  0.0                     0.000000               0.01   \n",
       "1                  0.0                     0.017857               0.00   \n",
       "2                  0.0                     0.000000               0.00   \n",
       "3                  0.0                     0.000000               0.00   \n",
       "4                  0.0                     0.000000               0.00   \n",
       "\n",
       "   Ethiopian Restaurant  Event Space  Falafel Restaurant  Farmers Market  \\\n",
       "0                   0.0          0.0                 0.0        0.000000   \n",
       "1                   0.0          0.0                 0.0        0.035714   \n",
       "2                   0.0          0.0                 0.0        0.000000   \n",
       "3                   0.0          0.0                 0.0        0.055556   \n",
       "4                   0.0          0.0                 0.0        0.000000   \n",
       "\n",
       "   Fast Food Restaurant  Filipino Restaurant  Fish & Chips Shop  Fish Market  \\\n",
       "0              0.000000                  0.0                0.0     0.000000   \n",
       "1              0.000000                  0.0                0.0     0.017857   \n",
       "2              0.000000                  0.0                0.0     0.000000   \n",
       "3              0.055556                  0.0                0.0     0.000000   \n",
       "4              0.000000                  0.0                0.0     0.000000   \n",
       "\n",
       "   Flea Market  Flower Shop  Food  Food & Drink Shop  Food Court  Food Truck  \\\n",
       "0          0.0          0.0   0.0                0.0        0.01         0.0   \n",
       "1          0.0          0.0   0.0                0.0        0.00         0.0   \n",
       "2          0.0          0.0   0.0                0.0        0.00         0.0   \n",
       "3          0.0          0.0   0.0                0.0        0.00         0.0   \n",
       "4          0.0          0.0   0.0                0.0        0.00         0.0   \n",
       "\n",
       "   Fountain  French Restaurant  Fried Chicken Joint  Frozen Yogurt Shop  \\\n",
       "0  0.000000           0.000000                  0.0                 0.0   \n",
       "1  0.017857           0.017857                  0.0                 0.0   \n",
       "2  0.000000           0.000000                  0.0                 0.0   \n",
       "3  0.000000           0.000000                  0.0                 0.0   \n",
       "4  0.000000           0.000000                  0.0                 0.0   \n",
       "\n",
       "   Fruit & Vegetable Store  Furniture / Home Store  Gaming Cafe    Garden  \\\n",
       "0                      0.0                0.010000          0.0  0.000000   \n",
       "1                      0.0                0.000000          0.0  0.000000   \n",
       "2                      0.0                0.043478          0.0  0.000000   \n",
       "3                      0.0                0.000000          0.0  0.055556   \n",
       "4                      0.0                0.000000          0.0  0.000000   \n",
       "\n",
       "   Garden Center  Gas Station  Gastropub  Gay Bar  General Entertainment  \\\n",
       "0       0.000000          0.0       0.02      0.0                    0.0   \n",
       "1       0.000000          0.0       0.00      0.0                    0.0   \n",
       "2       0.000000          0.0       0.00      0.0                    0.0   \n",
       "3       0.055556          0.0       0.00      0.0                    0.0   \n",
       "4       0.000000          0.0       0.00      0.0                    0.0   \n",
       "\n",
       "   General Travel  Gift Shop  Gluten-free Restaurant  Gourmet Shop  \\\n",
       "0            0.01        0.0                    0.01      0.000000   \n",
       "1            0.00        0.0                    0.00      0.017857   \n",
       "2            0.00        0.0                    0.00      0.000000   \n",
       "3            0.00        0.0                    0.00      0.000000   \n",
       "4            0.00        0.0                    0.00      0.000000   \n",
       "\n",
       "   Greek Restaurant  Grocery Store       Gym  Gym / Fitness Center  \\\n",
       "0          0.010000       0.000000  0.020000              0.010000   \n",
       "1          0.017857       0.000000  0.000000              0.000000   \n",
       "2          0.000000       0.043478  0.043478              0.000000   \n",
       "3          0.000000       0.000000  0.000000              0.055556   \n",
       "4          0.000000       0.000000  0.000000              0.000000   \n",
       "\n",
       "   Harbor / Marina  Health & Beauty Service  Health Food Store  Historic Site  \\\n",
       "0         0.000000                      0.0                0.0            0.0   \n",
       "1         0.000000                      0.0                0.0            0.0   \n",
       "2         0.000000                      0.0                0.0            0.0   \n",
       "3         0.000000                      0.0                0.0            0.0   \n",
       "4         0.058824                      0.0                0.0            0.0   \n",
       "\n",
       "   History Museum  Hospital  Hostel     Hotel  Hotel Bar  Hotpot Restaurant  \\\n",
       "0             0.0       0.0     0.0  0.020000        0.0                0.0   \n",
       "1             0.0       0.0     0.0  0.017857        0.0                0.0   \n",
       "2             0.0       0.0     0.0  0.000000        0.0                0.0   \n",
       "3             0.0       0.0     0.0  0.000000        0.0                0.0   \n",
       "4             0.0       0.0     0.0  0.000000        0.0                0.0   \n",
       "\n",
       "   IT Services  Ice Cream Shop  Indian Restaurant  Indie Movie Theater  \\\n",
       "0          0.0            0.01               0.01                  0.0   \n",
       "1          0.0            0.00               0.00                  0.0   \n",
       "2          0.0            0.00               0.00                  0.0   \n",
       "3          0.0            0.00               0.00                  0.0   \n",
       "4          0.0            0.00               0.00                  0.0   \n",
       "\n",
       "   Indoor Play Area  Intersection  Irish Pub  Italian Restaurant  \\\n",
       "0               0.0      0.000000   0.000000            0.010000   \n",
       "1               0.0      0.000000   0.017857            0.017857   \n",
       "2               0.0      0.043478   0.000000            0.043478   \n",
       "3               0.0      0.000000   0.000000            0.000000   \n",
       "4               0.0      0.000000   0.000000            0.000000   \n",
       "\n",
       "   Japanese Restaurant  Jazz Club  Jewelry Store  Juice Bar  \\\n",
       "0             0.010000   0.010000            0.0       0.01   \n",
       "1             0.017857   0.017857            0.0       0.00   \n",
       "2             0.000000   0.000000            0.0       0.00   \n",
       "3             0.000000   0.000000            0.0       0.00   \n",
       "4             0.000000   0.000000            0.0       0.00   \n",
       "\n",
       "   Korean Restaurant  Lake  Latin American Restaurant  Light Rail Station  \\\n",
       "0                0.0   0.0                       0.01            0.000000   \n",
       "1                0.0   0.0                       0.00            0.000000   \n",
       "2                0.0   0.0                       0.00            0.000000   \n",
       "3                0.0   0.0                       0.00            0.055556   \n",
       "4                0.0   0.0                       0.00            0.000000   \n",
       "\n",
       "   Lingerie Store  Liquor Store  Lounge  Mac & Cheese Joint  Market  \\\n",
       "0            0.01      0.000000    0.01                 0.0     0.0   \n",
       "1            0.00      0.017857    0.00                 0.0     0.0   \n",
       "2            0.00      0.000000    0.00                 0.0     0.0   \n",
       "3            0.00      0.000000    0.00                 0.0     0.0   \n",
       "4            0.00      0.000000    0.00                 0.0     0.0   \n",
       "\n",
       "   Massage Studio  Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n",
       "0             0.0                      0.01          0.0                 0.0   \n",
       "1             0.0                      0.00          0.0                 0.0   \n",
       "2             0.0                      0.00          0.0                 0.0   \n",
       "3             0.0                      0.00          0.0                 0.0   \n",
       "4             0.0                      0.00          0.0                 0.0   \n",
       "\n",
       "   Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n",
       "0                        0.0                 0.0                        0.01   \n",
       "1                        0.0                 0.0                        0.00   \n",
       "2                        0.0                 0.0                        0.00   \n",
       "3                        0.0                 0.0                        0.00   \n",
       "4                        0.0                 0.0                        0.00   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n",
       "0                              0.0                 0.01            0.0   \n",
       "1                              0.0                 0.00            0.0   \n",
       "2                              0.0                 0.00            0.0   \n",
       "3                              0.0                 0.00            0.0   \n",
       "4                              0.0                 0.00            0.0   \n",
       "\n",
       "     Museum  Music Venue  New American Restaurant  Nightclub  Noodle House  \\\n",
       "0  0.000000          0.0                     0.01   0.000000          0.01   \n",
       "1  0.017857          0.0                     0.00   0.017857          0.00   \n",
       "2  0.000000          0.0                     0.00   0.000000          0.00   \n",
       "3  0.000000          0.0                     0.00   0.000000          0.00   \n",
       "4  0.000000          0.0                     0.00   0.000000          0.00   \n",
       "\n",
       "     Office  Opera House  Optical Shop  Organic Grocery  Other Great Outdoors  \\\n",
       "0  0.010000         0.01           0.0              0.0                   0.0   \n",
       "1  0.000000         0.00           0.0              0.0                   0.0   \n",
       "2  0.043478         0.00           0.0              0.0                   0.0   \n",
       "3  0.000000         0.00           0.0              0.0                   0.0   \n",
       "4  0.000000         0.00           0.0              0.0                   0.0   \n",
       "\n",
       "       Park  Performing Arts Venue  Pet Store  Pharmacy  Pizza Place  \\\n",
       "0  0.000000               0.000000   0.000000  0.000000     0.020000   \n",
       "1  0.017857               0.000000   0.000000  0.017857     0.000000   \n",
       "2  0.000000               0.043478   0.043478  0.000000     0.000000   \n",
       "3  0.055556               0.000000   0.000000  0.000000     0.055556   \n",
       "4  0.000000               0.000000   0.000000  0.000000     0.000000   \n",
       "\n",
       "      Plane  Playground  Plaza  Poke Place  Pool  Portuguese Restaurant  \\\n",
       "0  0.000000         0.0   0.01        0.01   0.0                    0.0   \n",
       "1  0.000000         0.0   0.00        0.00   0.0                    0.0   \n",
       "2  0.000000         0.0   0.00        0.00   0.0                    0.0   \n",
       "3  0.000000         0.0   0.00        0.00   0.0                    0.0   \n",
       "4  0.058824         0.0   0.00        0.00   0.0                    0.0   \n",
       "\n",
       "   Poutine Place  Pub  Ramen Restaurant  Record Shop  Recording Studio  \\\n",
       "0            0.0  0.0              0.01          0.0          0.000000   \n",
       "1            0.0  0.0              0.00          0.0          0.000000   \n",
       "2            0.0  0.0              0.00          0.0          0.000000   \n",
       "3            0.0  0.0              0.00          0.0          0.055556   \n",
       "4            0.0  0.0              0.00          0.0          0.000000   \n",
       "\n",
       "   Rental Car Location  Restaurant  Roof Deck  Sake Bar  Salad Place  \\\n",
       "0             0.000000    0.030000        0.0       0.0         0.01   \n",
       "1             0.000000    0.017857        0.0       0.0         0.00   \n",
       "2             0.000000    0.043478        0.0       0.0         0.00   \n",
       "3             0.000000    0.055556        0.0       0.0         0.00   \n",
       "4             0.058824    0.000000        0.0       0.0         0.00   \n",
       "\n",
       "   Salon / Barbershop  Sandwich Place  Scenic Lookout  Sculpture Garden  \\\n",
       "0                 0.0             0.0             0.0          0.000000   \n",
       "1                 0.0             0.0             0.0          0.000000   \n",
       "2                 0.0             0.0             0.0          0.000000   \n",
       "3                 0.0             0.0             0.0          0.000000   \n",
       "4                 0.0             0.0             0.0          0.058824   \n",
       "\n",
       "   Seafood Restaurant  Shoe Store  Shopping Mall  Skate Park  Skating Rink  \\\n",
       "0            0.020000         0.0       0.010000    0.000000           0.0   \n",
       "1            0.035714         0.0       0.017857    0.000000           0.0   \n",
       "2            0.000000         0.0       0.000000    0.000000           0.0   \n",
       "3            0.000000         0.0       0.000000    0.055556           0.0   \n",
       "4            0.000000         0.0       0.000000    0.000000           0.0   \n",
       "\n",
       "   Smoke Shop  Snack Place  Southern / Soul Food Restaurant       Spa  \\\n",
       "0    0.010000          0.0                              0.0  0.000000   \n",
       "1    0.000000          0.0                              0.0  0.000000   \n",
       "2    0.000000          0.0                              0.0  0.000000   \n",
       "3    0.055556          0.0                              0.0  0.055556   \n",
       "4    0.000000          0.0                              0.0  0.000000   \n",
       "\n",
       "   Speakeasy  Sporting Goods Shop  Sports Bar   Stadium  Stationery Store  \\\n",
       "0       0.01             0.000000         0.0  0.000000               0.0   \n",
       "1       0.00             0.017857         0.0  0.000000               0.0   \n",
       "2       0.00             0.000000         0.0  0.043478               0.0   \n",
       "3       0.00             0.000000         0.0  0.000000               0.0   \n",
       "4       0.00             0.000000         0.0  0.000000               0.0   \n",
       "\n",
       "   Steakhouse  Strip Club  Supermarket  Supplement Shop  Sushi Restaurant  \\\n",
       "0    0.030000         0.0          0.0              0.0              0.03   \n",
       "1    0.035714         0.0          0.0              0.0              0.00   \n",
       "2    0.000000         0.0          0.0              0.0              0.00   \n",
       "3    0.000000         0.0          0.0              0.0              0.00   \n",
       "4    0.000000         0.0          0.0              0.0              0.00   \n",
       "\n",
       "   Swim School  Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  \\\n",
       "0          0.0        0.01     0.000000                   0.0            0.0   \n",
       "1          0.0        0.00     0.017857                   0.0            0.0   \n",
       "2          0.0        0.00     0.000000                   0.0            0.0   \n",
       "3          0.0        0.00     0.000000                   0.0            0.0   \n",
       "4          0.0        0.00     0.000000                   0.0            0.0   \n",
       "\n",
       "   Tea Room  Tennis Court  Thai Restaurant  Theater  Theme Restaurant  \\\n",
       "0  0.000000           0.0         0.040000     0.01               0.0   \n",
       "1  0.017857           0.0         0.017857     0.00               0.0   \n",
       "2  0.000000           0.0         0.000000     0.00               0.0   \n",
       "3  0.000000           0.0         0.000000     0.00               0.0   \n",
       "4  0.000000           0.0         0.000000     0.00               0.0   \n",
       "\n",
       "   Thrift / Vintage Store  Toy / Game Store  Trail  Train Station  \\\n",
       "0                     0.0               0.0    0.0            0.0   \n",
       "1                     0.0               0.0    0.0            0.0   \n",
       "2                     0.0               0.0    0.0            0.0   \n",
       "3                     0.0               0.0    0.0            0.0   \n",
       "4                     0.0               0.0    0.0            0.0   \n",
       "\n",
       "   Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                       0.020000               0.0                    0.0   \n",
       "1                       0.017857               0.0                    0.0   \n",
       "2                       0.000000               0.0                    0.0   \n",
       "3                       0.000000               0.0                    0.0   \n",
       "4                       0.000000               0.0                    0.0   \n",
       "\n",
       "   Wine Bar  Wings Joint  Women's Store  \n",
       "0      0.01          0.0           0.01  \n",
       "1      0.00          0.0           0.00  \n",
       "2      0.00          0.0           0.00  \n",
       "3      0.00          0.0           0.00  \n",
       "4      0.00          0.0           0.00  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Least Common Venue</th>\n",
       "      <th>2nd Least Common Venue</th>\n",
       "      <th>3rd Least Common Venue</th>\n",
       "      <th>4th Least Common Venue</th>\n",
       "      <th>5th Least Common Venue</th>\n",
       "      <th>6th Least Common Venue</th>\n",
       "      <th>7th Least Common Venue</th>\n",
       "      <th>8th Least Common Venue</th>\n",
       "      <th>9th Least Common Venue</th>\n",
       "      <th>10th Least Common Venue</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Snack Place</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Christie</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Historic Site</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Hospital</td>\n",
       "      <td>Hostel</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Irish Pub</td>\n",
       "      <td>Jazz Club</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Jazz Club</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Indoor Play Area</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Irish Pub</td>\n",
       "      <td>Tanning Salon</td>\n",
       "      <td>Taiwanese Restaurant</td>\n",
       "      <td>Jazz Club</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Indoor Play Area</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Irish Pub</td>\n",
       "      <td>Jazz Club</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Indoor Play Area</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Irish Pub</td>\n",
       "      <td>Taiwanese Restaurant</td>\n",
       "      <td>Tailor Shop</td>\n",
       "      <td>Jazz Club</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Taco Place</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Taco Place</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Indoor Play Area</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Irish Pub</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Jazz Club</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Hotel Bar</td>\n",
       "      <td>Hotpot Restaurant</td>\n",
       "      <td>IT Services</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "      <td>Indoor Play Area</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Irish Pub</td>\n",
       "      <td>Jazz Club</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Lake</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Mac &amp; Cheese Joint</td>\n",
       "      <td>Market</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood 1st Least Common Venue  \\\n",
       "0                            Adelaide, King, Richmond            Yoga Studio   \n",
       "1                                         Berczy Park            Yoga Studio   \n",
       "2        Brockton, Exhibition Place, Parkdale Village            Yoga Studio   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern                    Gym   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...            Yoga Studio   \n",
       "5                         Cabbagetown, St. James Town            Yoga Studio   \n",
       "6                                  Central Bay Street                    Gym   \n",
       "7           Chinatown, Grange Park, Kensington Market            Yoga Studio   \n",
       "8                                            Christie            Yoga Studio   \n",
       "9                                Church and Wellesley          Women's Store   \n",
       "10                     Commerce Court, Victoria Hotel            Yoga Studio   \n",
       "11                                         Davisville            Yoga Studio   \n",
       "12                                   Davisville North            Yoga Studio   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...            Yoga Studio   \n",
       "14           Design Exchange, Toronto Dominion Centre            Yoga Studio   \n",
       "15                       Dovercourt Village, Dufferin            Yoga Studio   \n",
       "16             First Canadian Place, Underground city            Yoga Studio   \n",
       "17                Forest Hill North, Forest Hill West            Yoga Studio   \n",
       "18                     Harbord, University of Toronto          Women's Store   \n",
       "19                                       Harbourfront                    Gym   \n",
       "20  Harbourfront East, Toronto Islands, Union Station            Yoga Studio   \n",
       "21                      High Park, The Junction South            Yoga Studio   \n",
       "22                                      Lawrence Park            Yoga Studio   \n",
       "23                           Little Portugal, Trinity                    Gym   \n",
       "24                        Moore Park, Summerhill East            Yoga Studio   \n",
       "25                                 North Toronto West                    Gym   \n",
       "26                             Parkdale, Roncesvalles            Yoga Studio   \n",
       "27                                       Queen's Park          Women's Store   \n",
       "28                                           Rosedale            Yoga Studio   \n",
       "29                                           Roselawn            Yoga Studio   \n",
       "30                                 Runnymede, Swansea          Women's Store   \n",
       "31                           Ryerson, Garden District            Yoga Studio   \n",
       "32                                     St. James Town            Yoga Studio   \n",
       "33                    Stn A PO Boxes 25 The Esplanade            Yoga Studio   \n",
       "34                                    Studio District                    Gym   \n",
       "35                The Annex, North Midtown, Yorkville            Yoga Studio   \n",
       "36                                        The Beaches            Yoga Studio   \n",
       "37                     The Beaches West, India Bazaar            Yoga Studio   \n",
       "38                       The Danforth West, Riverdale                    Gym   \n",
       "\n",
       "       2nd Least Common Venue     3rd Least Common Venue  \\\n",
       "0                   Gift Shop                        Spa   \n",
       "1   Latin American Restaurant         Light Rail Station   \n",
       "2                Liquor Store                     Lounge   \n",
       "3              Lingerie Store               Liquor Store   \n",
       "4                      Lounge         Mac & Cheese Joint   \n",
       "5          Light Rail Station             Lingerie Store   \n",
       "6               Jewelry Store                       Lake   \n",
       "7          Light Rail Station             Lingerie Store   \n",
       "8          Mac & Cheese Joint                     Market   \n",
       "9             Harbor / Marina                        Spa   \n",
       "10          Korean Restaurant                       Lake   \n",
       "11             Lingerie Store               Liquor Store   \n",
       "12         Mac & Cheese Joint                     Market   \n",
       "13  Latin American Restaurant             Lingerie Store   \n",
       "14                  Irish Pub                  Jazz Club   \n",
       "15         Light Rail Station             Lingerie Store   \n",
       "16                  Jazz Club              Jewelry Store   \n",
       "17                     Lounge         Mac & Cheese Joint   \n",
       "18           Indoor Play Area               Intersection   \n",
       "19               Liquor Store                     Lounge   \n",
       "20           Indoor Play Area               Intersection   \n",
       "21               Liquor Store                     Lounge   \n",
       "22                     Lounge         Mac & Cheese Joint   \n",
       "23                       Lake  Latin American Restaurant   \n",
       "24                     Lounge         Mac & Cheese Joint   \n",
       "25               Liquor Store                     Lounge   \n",
       "26         Mac & Cheese Joint                     Market   \n",
       "27           Indoor Play Area               Intersection   \n",
       "28                     Lounge         Mac & Cheese Joint   \n",
       "29                     Lounge         Mac & Cheese Joint   \n",
       "30                 Taco Place             Ice Cream Shop   \n",
       "31                  Hotel Bar          Hotpot Restaurant   \n",
       "32                  Juice Bar          Korean Restaurant   \n",
       "33              Jewelry Store                  Juice Bar   \n",
       "34             Lingerie Store               Liquor Store   \n",
       "35         Light Rail Station             Lingerie Store   \n",
       "36                     Lounge         Mac & Cheese Joint   \n",
       "37         Light Rail Station             Lingerie Store   \n",
       "38         Mac & Cheese Joint                     Market   \n",
       "\n",
       "       4th Least Common Venue           5th Least Common Venue  \\\n",
       "0                Gourmet Shop  Southern / Soul Food Restaurant   \n",
       "1              Lingerie Store                           Lounge   \n",
       "2          Mac & Cheese Joint                           Market   \n",
       "3                      Lounge               Mac & Cheese Joint   \n",
       "4                      Market                   Massage Studio   \n",
       "5                      Lounge               Mac & Cheese Joint   \n",
       "6   Latin American Restaurant               Light Rail Station   \n",
       "7                Liquor Store                           Lounge   \n",
       "8              Massage Studio         Mediterranean Restaurant   \n",
       "9           Health Food Store                    Historic Site   \n",
       "10         Light Rail Station                   Lingerie Store   \n",
       "11                     Lounge               Mac & Cheese Joint   \n",
       "12             Massage Studio         Mediterranean Restaurant   \n",
       "13                     Lounge               Mac & Cheese Joint   \n",
       "14              Jewelry Store                        Juice Bar   \n",
       "15               Liquor Store                           Lounge   \n",
       "16                  Juice Bar                Korean Restaurant   \n",
       "17                     Market                   Massage Studio   \n",
       "18                  Irish Pub                    Tanning Salon   \n",
       "19         Mac & Cheese Joint                           Market   \n",
       "20                  Irish Pub                        Jazz Club   \n",
       "21         Mac & Cheese Joint                           Market   \n",
       "22                     Market                   Massage Studio   \n",
       "23         Light Rail Station                   Lingerie Store   \n",
       "24                     Market                   Massage Studio   \n",
       "25         Mac & Cheese Joint                           Market   \n",
       "26             Massage Studio         Mediterranean Restaurant   \n",
       "27                  Irish Pub             Taiwanese Restaurant   \n",
       "28                     Market                   Massage Studio   \n",
       "29                     Market                   Massage Studio   \n",
       "30          Indian Restaurant                      Swim School   \n",
       "31                IT Services                Indian Restaurant   \n",
       "32                       Lake               Light Rail Station   \n",
       "33          Korean Restaurant                             Lake   \n",
       "34                     Lounge               Mac & Cheese Joint   \n",
       "35                     Lounge               Mac & Cheese Joint   \n",
       "36                     Market                   Massage Studio   \n",
       "37                     Lounge               Mac & Cheese Joint   \n",
       "38             Massage Studio         Mediterranean Restaurant   \n",
       "\n",
       "       6th Least Common Venue     7th Least Common Venue  \\\n",
       "0               Grocery Store                Wings Joint   \n",
       "1          Mac & Cheese Joint                     Market   \n",
       "2              Massage Studio   Mediterranean Restaurant   \n",
       "3                      Market             Massage Studio   \n",
       "4    Mediterranean Restaurant                Men's Store   \n",
       "5              Massage Studio   Mediterranean Restaurant   \n",
       "6              Lingerie Store               Liquor Store   \n",
       "7          Mac & Cheese Joint                     Market   \n",
       "8                 Men's Store         Mexican Restaurant   \n",
       "9              History Museum                   Hospital   \n",
       "10               Liquor Store                     Lounge   \n",
       "11                     Market             Massage Studio   \n",
       "12                Men's Store         Mexican Restaurant   \n",
       "13                     Market             Massage Studio   \n",
       "14          Korean Restaurant                       Lake   \n",
       "15         Mac & Cheese Joint                     Market   \n",
       "16                       Lake  Latin American Restaurant   \n",
       "17   Mediterranean Restaurant                Men's Store   \n",
       "18       Taiwanese Restaurant                  Jazz Club   \n",
       "19             Massage Studio   Mediterranean Restaurant   \n",
       "20              Jewelry Store          Korean Restaurant   \n",
       "21             Massage Studio   Mediterranean Restaurant   \n",
       "22   Mediterranean Restaurant                Men's Store   \n",
       "23               Liquor Store                     Lounge   \n",
       "24   Mediterranean Restaurant                Men's Store   \n",
       "25             Massage Studio   Mediterranean Restaurant   \n",
       "26                Men's Store         Mexican Restaurant   \n",
       "27                Tailor Shop                  Jazz Club   \n",
       "28   Mediterranean Restaurant                Men's Store   \n",
       "29   Mediterranean Restaurant                Men's Store   \n",
       "30           Indoor Play Area               Intersection   \n",
       "31        Indie Movie Theater           Indoor Play Area   \n",
       "32               Liquor Store         Mac & Cheese Joint   \n",
       "33  Latin American Restaurant         Light Rail Station   \n",
       "34                     Market             Massage Studio   \n",
       "35                     Market             Massage Studio   \n",
       "36   Mediterranean Restaurant                Men's Store   \n",
       "37                     Market             Massage Studio   \n",
       "38                Men's Store         Mexican Restaurant   \n",
       "\n",
       "       8th Least Common Venue           9th Least Common Venue  \\\n",
       "0                 Snack Place                  Harbor / Marina   \n",
       "1              Massage Studio         Mediterranean Restaurant   \n",
       "2                 Men's Store               Mexican Restaurant   \n",
       "3    Mediterranean Restaurant                      Men's Store   \n",
       "4          Mexican Restaurant        Middle Eastern Restaurant   \n",
       "5                 Men's Store               Mexican Restaurant   \n",
       "6                      Lounge               Mac & Cheese Joint   \n",
       "7    Mediterranean Restaurant                      Men's Store   \n",
       "8   Middle Eastern Restaurant               Miscellaneous Shop   \n",
       "9                      Hostel  Southern / Soul Food Restaurant   \n",
       "10         Mac & Cheese Joint                           Market   \n",
       "11   Mediterranean Restaurant                      Men's Store   \n",
       "12  Middle Eastern Restaurant               Miscellaneous Shop   \n",
       "13   Mediterranean Restaurant                      Men's Store   \n",
       "14  Latin American Restaurant               Light Rail Station   \n",
       "15             Massage Studio         Mediterranean Restaurant   \n",
       "16         Light Rail Station                   Lingerie Store   \n",
       "17         Mexican Restaurant        Middle Eastern Restaurant   \n",
       "18              Jewelry Store                        Juice Bar   \n",
       "19                Men's Store        Middle Eastern Restaurant   \n",
       "20  Latin American Restaurant               Light Rail Station   \n",
       "21                Men's Store        Middle Eastern Restaurant   \n",
       "22         Mexican Restaurant        Middle Eastern Restaurant   \n",
       "23                     Market                   Massage Studio   \n",
       "24         Mexican Restaurant        Middle Eastern Restaurant   \n",
       "25                Men's Store        Middle Eastern Restaurant   \n",
       "26  Middle Eastern Restaurant               Miscellaneous Shop   \n",
       "27              Jewelry Store                       Taco Place   \n",
       "28         Mexican Restaurant        Middle Eastern Restaurant   \n",
       "29         Mexican Restaurant        Middle Eastern Restaurant   \n",
       "30                  Irish Pub              Japanese Restaurant   \n",
       "31               Intersection                        Irish Pub   \n",
       "32                     Market                   Massage Studio   \n",
       "33             Lingerie Store               Mac & Cheese Joint   \n",
       "34   Mediterranean Restaurant                      Men's Store   \n",
       "35   Mediterranean Restaurant                      Men's Store   \n",
       "36         Mexican Restaurant        Middle Eastern Restaurant   \n",
       "37   Mediterranean Restaurant                      Men's Store   \n",
       "38  Middle Eastern Restaurant               Miscellaneous Shop   \n",
       "\n",
       "       10th Least Common Venue  \n",
       "0      Health & Beauty Service  \n",
       "1                  Men's Store  \n",
       "2    Middle Eastern Restaurant  \n",
       "3           Mexican Restaurant  \n",
       "4           Miscellaneous Shop  \n",
       "5    Middle Eastern Restaurant  \n",
       "6                       Market  \n",
       "7    Middle Eastern Restaurant  \n",
       "8   Modern European Restaurant  \n",
       "9         Gym / Fitness Center  \n",
       "10              Massage Studio  \n",
       "11          Mexican Restaurant  \n",
       "12  Modern European Restaurant  \n",
       "13          Mexican Restaurant  \n",
       "14              Lingerie Store  \n",
       "15                 Men's Store  \n",
       "16                Liquor Store  \n",
       "17          Miscellaneous Shop  \n",
       "18           Korean Restaurant  \n",
       "19          Miscellaneous Shop  \n",
       "20              Lingerie Store  \n",
       "21          Miscellaneous Shop  \n",
       "22          Miscellaneous Shop  \n",
       "23    Mediterranean Restaurant  \n",
       "24          Miscellaneous Shop  \n",
       "25          Miscellaneous Shop  \n",
       "26  Modern European Restaurant  \n",
       "27           Korean Restaurant  \n",
       "28          Miscellaneous Shop  \n",
       "29          Miscellaneous Shop  \n",
       "30                   Jazz Club  \n",
       "31                   Jazz Club  \n",
       "32    Mediterranean Restaurant  \n",
       "33                      Market  \n",
       "34          Mexican Restaurant  \n",
       "35          Mexican Restaurant  \n",
       "36          Miscellaneous Shop  \n",
       "37          Mexican Restaurant  \n",
       "38  Modern European Restaurant  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a new dataframe and includes the top 10 least common venues for each neighborhood\n",
    "no_of_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(no_of_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Least Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Least Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "tor_neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "tor_neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    tor_neighborhoods_venues_sorted.iloc[ind, 1:] = return_least_common_venues(toronto_grouped.iloc[ind, :], no_of_top_venues)\n",
    "\n",
    "tor_neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Yoga Studio      28\n",
       "Gym               7\n",
       "Women's Store     4\n",
       "Name: 1st Least Common Venue, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tor_neighborhoods_venues_sorted['1st Least Common Venue'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Workshop</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Stop</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Climbing Gym</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Auditorium</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Costume Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Frozen Yogurt Shop</th>\n",
       "      <th>Fruit &amp; Vegetable Store</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Garden</th>\n",
       "      <th>Garden Center</th>\n",
       "      <th>Gas Station</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Gluten-free Restaurant</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Health Food Store</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hospital</th>\n",
       "      <th>Hostel</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Hotpot Restaurant</th>\n",
       "      <th>IT Services</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indoor Play Area</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>Juice Bar</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Lake</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Light Rail Station</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Mac &amp; Cheese Joint</th>\n",
       "      <th>Market</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Plane</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Recording Studio</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skate Park</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Stadium</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Swim School</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood  Yoga Studio  \\\n",
       "0                           Adelaide, King, Richmond            0   \n",
       "1                                        Berczy Park            0   \n",
       "2       Brockton, Exhibition Place, Parkdale Village            0   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern            1   \n",
       "4  CN Tower, Bathurst Quay, Island airport, Harbo...            0   \n",
       "\n",
       "   Afghan Restaurant  Airport  Airport Food Court  Airport 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        1                   1               2   \n",
       "\n",
       "   Airport Service  Airport Terminal  American Restaurant  Antique Shop  \\\n",
       "0                0                 0                    2             0   \n",
       "1                0                 0                    0             0   \n",
       "2                0                 0                    0             0   \n",
       "3                0                 0                    0             0   \n",
       "4                3                 2                    0             0   \n",
       "\n",
       "   Aquarium  Art Gallery  Arts & Crafts Store  Asian Restaurant  \\\n",
       "0         0            1                    0                 2   \n",
       "1         0            1                    0                 0   \n",
       "2         0            0                    0                 0   \n",
       "3         0            0                    0                 0   \n",
       "4         0            0                    0                 0   \n",
       "\n",
       "   Athletics & Sports  Auto Workshop  BBQ Joint  Baby Store  Bagel Shop  \\\n",
       "0                   0              0          0           0           0   \n",
       "1                   0              0          1           0           1   \n",
       "2                   0              0          0           0           0   \n",
       "3                   0              1          0           0           0   \n",
       "4                   0              0          0           0           0   \n",
       "\n",
       "   Bakery  Bank  Bar  Baseball Stadium  Basketball Stadium  Beach  \\\n",
       "0       3     0    4                 0                   0      0   \n",
       "1       2     0    0                 0                   1      1   \n",
       "2       2     0    1                 0                   0      0   \n",
       "3       0     0    0                 0                   0      0   \n",
       "4       0     0    1                 0                   0      0   \n",
       "\n",
       "   Bed & Breakfast  Beer Bar  Beer Store  Belgian Restaurant  Bistro  \\\n",
       "0                0         0           0                   0       0   \n",
       "1                0         2           0                   1       1   \n",
       "2                0         0           0                   0       0   \n",
       "3                0         0           0                   0       0   \n",
       "4                0         0           0                   0       0   \n",
       "\n",
       "   Boat or Ferry  Bookstore  Boutique  Brazilian Restaurant  Breakfast Spot  \\\n",
       "0              0          1         0                     1               2   \n",
       "1              0          0         0                     0               0   \n",
       "2              0          0         0                     0               2   \n",
       "3              0          0         0                     0               0   \n",
       "4              1          0         1                     0               0   \n",
       "\n",
       "   Brewery  Bubble Tea Shop  Building  Burger Joint  Burrito Place  Bus Line  \\\n",
       "0        0                0         1             3              1         0   \n",
       "1        0                0         0             0              0         0   \n",
       "2        0                0         0             0              1         0   \n",
       "3        1                0         0             0              1         0   \n",
       "4        0                0         0             0              0         0   \n",
       "\n",
       "   Bus Stop  Butcher  Café  Cajun / Creole Restaurant  Camera Store  \\\n",
       "0         0        0     4                          0             0   \n",
       "1         0        1     2                          0             0   \n",
       "2         0        0     3                          0             0   \n",
       "3         0        0     0                          0             0   \n",
       "4         0        0     0                          0             0   \n",
       "\n",
       "   Candy Store  Caribbean Restaurant  Cheese Shop  Chinese Restaurant  \\\n",
       "0            0                     0            0                   0   \n",
       "1            0                     0            2                   0   \n",
       "2            0                     0            0                   0   \n",
       "3            0                     0            0                   0   \n",
       "4            0                     0            0                   0   \n",
       "\n",
       "   Chocolate Shop  Church  Climbing Gym  Clothing Store  Cocktail Bar  \\\n",
       "0               0       0             0               1             0   \n",
       "1               0       0             0               0             2   \n",
       "2               0       0             1               0             0   \n",
       "3               0       0             0               0             0   \n",
       "4               0       0             0               0             0   \n",
       "\n",
       "   Coffee Shop  College Arts Building  College Auditorium  College Gym  \\\n",
       "0            6                      0                   0            0   \n",
       "1            4                      0                   0            0   \n",
       "2            2                      0                   0            0   \n",
       "3            0                      0                   0            0   \n",
       "4            1                      0                   0            0   \n",
       "\n",
       "   College Rec Center  Colombian Restaurant  Comfort Food Restaurant  \\\n",
       "0                   0                     1                        0   \n",
       "1                   0                     0                        1   \n",
       "2                   0                     0                        0   \n",
       "3                   0                     0                        0   \n",
       "4                   0                     0                        0   \n",
       "\n",
       "   Comic Shop  Concert Hall  Convenience Store  Cosmetics Shop  Costume Shop  \\\n",
       "0           0             2                  0               3             0   \n",
       "1           0             1                  0               0             0   \n",
       "2           0             0                  1               0             0   \n",
       "3           1             0                  0               0             0   \n",
       "4           0             0                  0               0             0   \n",
       "\n",
       "   Coworking Space  Creperie  Cuban Restaurant  Cupcake Shop  Dance Studio  \\\n",
       "0                0         0                 0             0             0   \n",
       "1                0         1                 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",
       "   Deli / Bodega  Department Store  Dessert Shop  Dim Sum Restaurant  Diner  \\\n",
       "0              1                 1             0                   0      0   \n",
       "1              0                 1             0                   0      1   \n",
       "2              0                 0             0                   0      0   \n",
       "3              0                 0             0                   0      0   \n",
       "4              0                 0             0                   0      0   \n",
       "\n",
       "   Discount Store  Dog Run  Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n",
       "0               0        0                 0           0                    0   \n",
       "1               0        0                 0           0                    0   \n",
       "2               0        0                 0           0                    0   \n",
       "3               0        0                 0           0                    0   \n",
       "4               0        0                 0           0                    0   \n",
       "\n",
       "   Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n",
       "0                            0                  1                     0   \n",
       "1                            1                  0                     0   \n",
       "2                            0                  0                     0   \n",
       "3                            0                  0                     0   \n",
       "4                            0                  0                     0   \n",
       "\n",
       "   Event Space  Falafel Restaurant  Farmers Market  Fast Food Restaurant  \\\n",
       "0            0                   0               0                     0   \n",
       "1            0                   0               2                     0   \n",
       "2            0                   0               0                     0   \n",
       "3            0                   0               1                     1   \n",
       "4            0                   0               0                     0   \n",
       "\n",
       "   Filipino Restaurant  Fish & Chips Shop  Fish Market  Flea Market  \\\n",
       "0                    0                  0            0            0   \n",
       "1                    0                  0            1            0   \n",
       "2                    0                  0            0            0   \n",
       "3                    0                  0            0            0   \n",
       "4                    0                  0            0            0   \n",
       "\n",
       "   Flower Shop  Food  Food & Drink Shop  Food Court  Food Truck  Fountain  \\\n",
       "0            0     0                  0           1           0         0   \n",
       "1            0     0                  0           0           0         1   \n",
       "2            0     0                  0           0           0         0   \n",
       "3            0     0                  0           0           0         0   \n",
       "4            0     0                  0           0           0         0   \n",
       "\n",
       "   French Restaurant  Fried Chicken Joint  Frozen Yogurt Shop  \\\n",
       "0                  0                    0                   0   \n",
       "1                  1                    0                   0   \n",
       "2                  0                    0                   0   \n",
       "3                  0                    0                   0   \n",
       "4                  0                    0                   0   \n",
       "\n",
       "   Fruit & Vegetable Store  Furniture / Home Store  Gaming Cafe  Garden  \\\n",
       "0                        0                       1            0       0   \n",
       "1                        0                       0            0       0   \n",
       "2                        0                       1            0       0   \n",
       "3                        0                       0            0       1   \n",
       "4                        0                       0            0       0   \n",
       "\n",
       "   Garden Center  Gas Station  Gastropub  Gay Bar  General Entertainment  \\\n",
       "0              0            0          2        0                      0   \n",
       "1              0            0          0        0                      0   \n",
       "2              0            0          0        0                      0   \n",
       "3              1            0          0        0                      0   \n",
       "4              0            0          0        0                      0   \n",
       "\n",
       "   General Travel  Gift Shop  Gluten-free Restaurant  Gourmet Shop  \\\n",
       "0               1          0                       1             0   \n",
       "1               0          0                       0             1   \n",
       "2               0          0                       0             0   \n",
       "3               0          0                       0             0   \n",
       "4               0          0                       0             0   \n",
       "\n",
       "   Greek Restaurant  Grocery Store  Gym  Gym / Fitness Center  \\\n",
       "0                 1              0    2                     1   \n",
       "1                 1              0    0                     0   \n",
       "2                 0              1    1                     0   \n",
       "3                 0              0    0                     1   \n",
       "4                 0              0    0                     0   \n",
       "\n",
       "   Harbor / Marina  Health & Beauty Service  Health Food Store  Historic Site  \\\n",
       "0                0                        0                  0              0   \n",
       "1                0                        0                  0              0   \n",
       "2                0                        0                  0              0   \n",
       "3                0                        0                  0              0   \n",
       "4                1                        0                  0              0   \n",
       "\n",
       "   History Museum  Hospital  Hostel  Hotel  Hotel Bar  Hotpot Restaurant  \\\n",
       "0               0         0       0      2          0                  0   \n",
       "1               0         0       0      1          0                  0   \n",
       "2               0         0       0      0          0                  0   \n",
       "3               0         0       0      0          0                  0   \n",
       "4               0         0       0      0          0                  0   \n",
       "\n",
       "   IT Services  Ice Cream Shop  Indian Restaurant  Indie Movie Theater  \\\n",
       "0            0               1                  1                    0   \n",
       "1            0               0                  0                    0   \n",
       "2            0               0                  0                    0   \n",
       "3            0               0                  0                    0   \n",
       "4            0               0                  0                    0   \n",
       "\n",
       "   Indoor Play Area  Intersection  Irish Pub  Italian Restaurant  \\\n",
       "0                 0             0          0                   1   \n",
       "1                 0             0          1                   1   \n",
       "2                 0             1          0                   1   \n",
       "3                 0             0          0                   0   \n",
       "4                 0             0          0                   0   \n",
       "\n",
       "   Japanese Restaurant  Jazz Club  Jewelry Store  Juice Bar  \\\n",
       "0                    1          1              0          1   \n",
       "1                    1          1              0          0   \n",
       "2                    0          0              0          0   \n",
       "3                    0          0              0          0   \n",
       "4                    0          0              0          0   \n",
       "\n",
       "   Korean Restaurant  Lake  Latin American Restaurant  Light Rail Station  \\\n",
       "0                  0     0                          1                   0   \n",
       "1                  0     0                          0                   0   \n",
       "2                  0     0                          0                   0   \n",
       "3                  0     0                          0                   1   \n",
       "4                  0     0                          0                   0   \n",
       "\n",
       "   Lingerie Store  Liquor Store  Lounge  Mac & Cheese Joint  Market  \\\n",
       "0               1             0       1                   0       0   \n",
       "1               0             1       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",
       "   Massage Studio  Mediterranean Restaurant  Men's Store  Mexican Restaurant  \\\n",
       "0               0                         1            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",
       "   Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n",
       "0                          0                   0                           1   \n",
       "1                          0                   0                           0   \n",
       "2                          0                   0                           0   \n",
       "3                          0                   0                           0   \n",
       "4                          0                   0                           0   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n",
       "0                                0                    1              0   \n",
       "1                                0                    0              0   \n",
       "2                                0                    0              0   \n",
       "3                                0                    0              0   \n",
       "4                                0                    0              0   \n",
       "\n",
       "   Museum  Music Venue  New American Restaurant  Nightclub  Noodle House  \\\n",
       "0       0            0                        1          0             1   \n",
       "1       1            0                        0          1             0   \n",
       "2       0            0                        0          0             0   \n",
       "3       0            0                        0          0             0   \n",
       "4       0            0                        0          0             0   \n",
       "\n",
       "   Office  Opera House  Optical Shop  Organic Grocery  Other Great Outdoors  \\\n",
       "0       1            1             0                0                     0   \n",
       "1       0            0             0                0                     0   \n",
       "2       1            0             0                0                     0   \n",
       "3       0            0             0                0                     0   \n",
       "4       0            0             0                0                     0   \n",
       "\n",
       "   Park  Performing Arts Venue  Pet Store  Pharmacy  Pizza Place  Plane  \\\n",
       "0     0                      0          0         0            2      0   \n",
       "1     1                      0          0         1            0      0   \n",
       "2     0                      1          1         0            0      0   \n",
       "3     1                      0          0         0            1      0   \n",
       "4     0                      0          0         0            0      1   \n",
       "\n",
       "   Playground  Plaza  Poke Place  Pool  Portuguese Restaurant  Poutine Place  \\\n",
       "0           0      1           1     0                      0              0   \n",
       "1           0      0           0     0                      0              0   \n",
       "2           0      0           0     0                      0              0   \n",
       "3           0      0           0     0                      0              0   \n",
       "4           0      0           0     0                      0              0   \n",
       "\n",
       "   Pub  Ramen Restaurant  Record Shop  Recording Studio  Rental Car Location  \\\n",
       "0    0                 1            0                 0                    0   \n",
       "1    0                 0            0                 0                    0   \n",
       "2    0                 0            0                 0                    0   \n",
       "3    0                 0            0                 1                    0   \n",
       "4    0                 0            0                 0                    1   \n",
       "\n",
       "   Restaurant  Roof Deck  Sake Bar  Salad Place  Salon / Barbershop  \\\n",
       "0           3          0         0            1                   0   \n",
       "1           1          0         0            0                   0   \n",
       "2           1          0         0            0                   0   \n",
       "3           1          0         0            0                   0   \n",
       "4           0          0         0            0                   0   \n",
       "\n",
       "   Sandwich Place  Scenic Lookout  Sculpture Garden  Seafood Restaurant  \\\n",
       "0               0               0                 0                   2   \n",
       "1               0               0                 0                   2   \n",
       "2               0               0                 0                   0   \n",
       "3               0               0                 0                   0   \n",
       "4               0               0                 1                   0   \n",
       "\n",
       "   Shoe Store  Shopping Mall  Skate Park  Skating Rink  Smoke Shop  \\\n",
       "0           0              1           0             0           1   \n",
       "1           0              1           0             0           0   \n",
       "2           0              0           0             0           0   \n",
       "3           0              0           1             0           1   \n",
       "4           0              0           0             0           0   \n",
       "\n",
       "   Snack Place  Southern / Soul Food Restaurant  Spa  Speakeasy  \\\n",
       "0            0                                0    0          1   \n",
       "1            0                                0    0          0   \n",
       "2            0                                0    0          0   \n",
       "3            0                                0    1          0   \n",
       "4            0                                0    0          0   \n",
       "\n",
       "   Sporting Goods Shop  Sports Bar  Stadium  Stationery Store  Steakhouse  \\\n",
       "0                    0           0        0                 0           3   \n",
       "1                    1           0        0                 0           2   \n",
       "2                    0           0        1                 0           0   \n",
       "3                    0           0        0                 0           0   \n",
       "4                    0           0        0                 0           0   \n",
       "\n",
       "   Strip Club  Supermarket  Supplement Shop  Sushi Restaurant  Swim School  \\\n",
       "0           0            0                0                 3            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",
       "   Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n",
       "0           1            0                     0              0         0   \n",
       "1           0            1                     0              0         1   \n",
       "2           0            0                     0              0         0   \n",
       "3           0            0                     0              0         0   \n",
       "4           0            0                     0              0         0   \n",
       "\n",
       "   Tennis Court  Thai Restaurant  Theater  Theme Restaurant  \\\n",
       "0             0                4        1                 0   \n",
       "1             0                1        0                 0   \n",
       "2             0                0        0                 0   \n",
       "3             0                0        0                 0   \n",
       "4             0                0        0                 0   \n",
       "\n",
       "   Thrift / Vintage Store  Toy / Game Store  Trail  Train 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",
       "   Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                              2                 0                      0   \n",
       "1                              1                 0                      0   \n",
       "2                              0                 0                      0   \n",
       "3                              0                 0                      0   \n",
       "4                              0                 0                      0   \n",
       "\n",
       "   Wine Bar  Wings Joint  Women's Store  \n",
       "0         1            0              1  \n",
       "1         0            0              0  \n",
       "2         0            0              0  \n",
       "3         0            0              0  \n",
       "4         0            0              0  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# group rows by neighborhood and calculate the mean of the frequency of occurrence for each category\n",
    "toronto_grouped2 = toronto_onehot.groupby('Neighborhood').sum().reset_index()\n",
    "toronto_grouped2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the number of yoga studios in Toronto\n",
    "toronto_grouped2['Yoga Studio'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the number of gyms in Toronto\n",
    "toronto_grouped2['Gym'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is more promising. There is only 11 yoga studios available in Toronto so far.\n",
    "\n",
    "Now let's check the top most common venues in the area and see what other venues are available in Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a function to sort the venues in descending order\n",
    "def most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Intersection</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Skate Park</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Recording Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Butcher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Christie</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Gas Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Toy / Game Store</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Park</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Light Rail Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Poutine Place</td>\n",
       "      <td>Noodle House</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Shoe Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Speakeasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Tennis Court</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Park</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Caribbean 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                                         Berczy Park           Coffee Shop   \n",
       "2        Brockton, Exhibition Place, Parkdale Village                  Café   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern           Yoga Studio   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...       Airport Service   \n",
       "5                         Cabbagetown, St. James Town           Coffee Shop   \n",
       "6                                  Central Bay Street           Coffee Shop   \n",
       "7           Chinatown, Grange Park, Kensington Market                   Bar   \n",
       "8                                            Christie         Grocery Store   \n",
       "9                                Church and Wellesley           Coffee Shop   \n",
       "10                     Commerce Court, Victoria Hotel           Coffee Shop   \n",
       "11                                         Davisville          Dessert Shop   \n",
       "12                                   Davisville North                   Gym   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...                   Pub   \n",
       "14           Design Exchange, Toronto Dominion Centre           Coffee Shop   \n",
       "15                       Dovercourt Village, Dufferin              Pharmacy   \n",
       "16             First Canadian Place, Underground city           Coffee Shop   \n",
       "17                Forest Hill North, Forest Hill West                  Park   \n",
       "18                     Harbord, University of Toronto                  Café   \n",
       "19                                       Harbourfront           Coffee Shop   \n",
       "20  Harbourfront East, Toronto Islands, Union Station           Coffee Shop   \n",
       "21                      High Park, The Junction South    Mexican Restaurant   \n",
       "22                                      Lawrence Park                  Park   \n",
       "23                           Little Portugal, Trinity                   Bar   \n",
       "24                        Moore Park, Summerhill East            Playground   \n",
       "25                                 North Toronto West        Clothing Store   \n",
       "26                             Parkdale, Roncesvalles             Gift Shop   \n",
       "27                                       Queen's Park           Coffee Shop   \n",
       "28                                           Rosedale                  Park   \n",
       "29                                           Roselawn           Music Venue   \n",
       "30                                 Runnymede, Swansea           Pizza Place   \n",
       "31                           Ryerson, Garden District           Coffee Shop   \n",
       "32                                     St. James Town                  Café   \n",
       "33                    Stn A PO Boxes 25 The Esplanade           Coffee Shop   \n",
       "34                                    Studio District                  Café   \n",
       "35                The Annex, North Midtown, Yorkville        Sandwich Place   \n",
       "36                                        The Beaches                   Pub   \n",
       "37                     The Beaches West, India Bazaar                  Park   \n",
       "38                       The Danforth West, Riverdale      Greek Restaurant   \n",
       "\n",
       "   2nd Most Common Venue    3rd Most Common Venue  \\\n",
       "0                   Café                      Bar   \n",
       "1     Seafood Restaurant              Cheese Shop   \n",
       "2         Breakfast Spot              Coffee Shop   \n",
       "3          Auto Workshop               Skate Park   \n",
       "4         Airport Lounge         Airport Terminal   \n",
       "5             Restaurant                   Bakery   \n",
       "6         Sandwich Place       Italian Restaurant   \n",
       "7                   Café    Vietnamese Restaurant   \n",
       "8                   Café                     Park   \n",
       "9    Japanese Restaurant                  Gay Bar   \n",
       "10                  Café               Restaurant   \n",
       "11        Sandwich Place              Pizza Place   \n",
       "12                 Hotel             Dance Studio   \n",
       "13           Coffee Shop  Health & Beauty Service   \n",
       "14                  Café                    Hotel   \n",
       "15                Bakery       Athletics & Sports   \n",
       "16                  Café               Restaurant   \n",
       "17         Jewelry Store                    Trail   \n",
       "18            Restaurant                   Bakery   \n",
       "19                   Pub                     Park   \n",
       "20              Aquarium       Italian Restaurant   \n",
       "21                  Café          Thai Restaurant   \n",
       "22           Swim School                 Bus Line   \n",
       "23            Restaurant              Coffee Shop   \n",
       "24          Tennis Court            Women's Store   \n",
       "25           Coffee Shop              Yoga Studio   \n",
       "26             Bookstore         Cuban Restaurant   \n",
       "27                   Gym                     Park   \n",
       "28            Playground                    Trail   \n",
       "29                  Pool                   Garden   \n",
       "30                  Café              Coffee Shop   \n",
       "31        Clothing Store      Japanese Restaurant   \n",
       "32           Coffee Shop               Restaurant   \n",
       "33                  Café               Restaurant   \n",
       "34           Coffee Shop                Gastropub   \n",
       "35                  Café              Coffee Shop   \n",
       "36                  Park     Other Great Outdoors   \n",
       "37           Pizza Place                      Gym   \n",
       "38    Italian Restaurant              Coffee Shop   \n",
       "\n",
       "          4th Most Common Venue   5th Most Common Venue  \\\n",
       "0               Thai Restaurant              Steakhouse   \n",
       "1                    Steakhouse                  Bakery   \n",
       "2                        Bakery            Climbing Gym   \n",
       "3                    Smoke Shop                     Spa   \n",
       "4                      Boutique         Harbor / Marina   \n",
       "5            Italian Restaurant             Pizza Place   \n",
       "6                     Juice Bar            Burger Joint   \n",
       "7           Dumpling Restaurant      Chinese Restaurant   \n",
       "8                    Baby Store              Restaurant   \n",
       "9              Sushi Restaurant              Restaurant   \n",
       "10                        Hotel                     Gym   \n",
       "11                          Gym             Coffee Shop   \n",
       "12               Sandwich Place       Food & Drink Shop   \n",
       "13                 Liquor Store              Sports Bar   \n",
       "14                   Restaurant      Italian Restaurant   \n",
       "15                     Bus Stop                    Café   \n",
       "16                        Hotel                  Bakery   \n",
       "17             Sushi Restaurant           Women's Store   \n",
       "18                          Bar               Bookstore   \n",
       "19                       Bakery      Mexican Restaurant   \n",
       "20                         Café                   Hotel   \n",
       "21         Fast Food Restaurant     Fried Chicken Joint   \n",
       "22                Women's Store            Dessert Shop   \n",
       "23             Asian Restaurant             Men's Store   \n",
       "24                Deli / Bodega    Ethiopian Restaurant   \n",
       "25                 Dessert Shop      Mexican Restaurant   \n",
       "26  Eastern European Restaurant                 Dog Run   \n",
       "27                 Burger Joint    Fast Food Restaurant   \n",
       "28                Women's Store           Deli / Bodega   \n",
       "29                 Dance Studio       Electronics Store   \n",
       "30           Italian Restaurant        Sushi Restaurant   \n",
       "31                         Café          Cosmetics Shop   \n",
       "32               Clothing Store          Breakfast Spot   \n",
       "33           Italian Restaurant      Seafood Restaurant   \n",
       "34                       Bakery                 Brewery   \n",
       "35                     Pharmacy          History Museum   \n",
       "36                        Trail       Health Food Store   \n",
       "37             Sushi Restaurant          Ice Cream Shop   \n",
       "38                    Bookstore  Furniture / Home Store   \n",
       "\n",
       "          6th Most Common Venue          7th Most Common Venue  \\\n",
       "0                        Bakery                 Cosmetics Shop   \n",
       "1                Farmers Market                           Café   \n",
       "2                 Burrito Place                        Stadium   \n",
       "3                 Burrito Place                 Farmers Market   \n",
       "4           Rental Car Location                    Coffee Shop   \n",
       "5            Chinese Restaurant                            Pub   \n",
       "6           Japanese Restaurant                 Ice Cream Shop   \n",
       "7                   Coffee Shop  Vegetarian / Vegan Restaurant   \n",
       "8            Italian Restaurant             Athletics & Sports   \n",
       "9                           Pub                    Men's Store   \n",
       "10          American Restaurant             Seafood Restaurant   \n",
       "11           Italian Restaurant                           Café   \n",
       "12             Department Store                 Breakfast Spot   \n",
       "13                   Restaurant                    Supermarket   \n",
       "14                   Steakhouse            American Restaurant   \n",
       "15    Middle Eastern Restaurant                    Supermarket   \n",
       "16                    Gastropub                            Bar   \n",
       "17             Department Store              Electronics Store   \n",
       "18          Japanese Restaurant                   Dessert Shop   \n",
       "19                      Theater                 Breakfast Spot   \n",
       "20               Scenic Lookout                        Brewery   \n",
       "21                  Music Venue                          Diner   \n",
       "22         Ethiopian Restaurant              Electronics Store   \n",
       "23        Vietnamese Restaurant                           Café   \n",
       "24            Electronics Store    Eastern European Restaurant   \n",
       "25           Salon / Barbershop             Chinese Restaurant   \n",
       "26           Italian Restaurant                            Bar   \n",
       "27        Portuguese Restaurant             Mexican Restaurant   \n",
       "28            Electronics Store    Eastern European Restaurant   \n",
       "29  Eastern European Restaurant            Dumpling Restaurant   \n",
       "30                          Gym                   Gourmet Shop   \n",
       "31                    Bookstore                Thai Restaurant   \n",
       "32                     Beer Bar                 Cosmetics Shop   \n",
       "33                     Beer Bar                          Hotel   \n",
       "34           Italian Restaurant            American Restaurant   \n",
       "35                 Liquor Store                   Burger Joint   \n",
       "36             Asian Restaurant                  Women's Store   \n",
       "37            Fish & Chips Shop             Italian Restaurant   \n",
       "38               Ice Cream Shop                   Dessert Shop   \n",
       "\n",
       "          8th Most Common Venue      9th Most Common Venue  \\\n",
       "0              Sushi Restaurant                 Restaurant   \n",
       "1                      Beer Bar               Cocktail Bar   \n",
       "2            Italian Restaurant                 Restaurant   \n",
       "3          Fast Food Restaurant                 Restaurant   \n",
       "4                         Plane              Boat or Ferry   \n",
       "5                          Café                       Park   \n",
       "6            Chinese Restaurant            Thai Restaurant   \n",
       "7            Mexican Restaurant                     Bakery   \n",
       "8                         Diner                  Nightclub   \n",
       "9      Mediterranean Restaurant                      Hotel   \n",
       "10                       Bakery                 Steakhouse   \n",
       "11             Sushi Restaurant           Toy / Game Store   \n",
       "12                         Park        Dumpling Restaurant   \n",
       "13             Sushi Restaurant        Fried Chicken Joint   \n",
       "14                    Gastropub         Seafood Restaurant   \n",
       "15                          Bar                       Bank   \n",
       "16          American Restaurant         Seafood Restaurant   \n",
       "17  Eastern European Restaurant        Dumpling Restaurant   \n",
       "18                          Pub              Poutine Place   \n",
       "19                   Restaurant                       Café   \n",
       "20                   Restaurant        Fried Chicken Joint   \n",
       "21    Cajun / Creole Restaurant                  Bookstore   \n",
       "22  Eastern European Restaurant        Dumpling Restaurant   \n",
       "23                  Pizza Place                Yoga Studio   \n",
       "24          Dumpling Restaurant                 Donut Shop   \n",
       "25         Fast Food Restaurant        Sporting Goods Shop   \n",
       "26                         Bank                 Restaurant   \n",
       "27                    Juice Bar        Japanese Restaurant   \n",
       "28          Dumpling Restaurant                 Donut Shop   \n",
       "29                   Donut Shop           Doner Restaurant   \n",
       "30                   Restaurant                        Pub   \n",
       "31                       Bakery             Lingerie Store   \n",
       "32          American Restaurant                     Bakery   \n",
       "33          Japanese Restaurant                Cheese Shop   \n",
       "34                  Yoga Studio                       Park   \n",
       "35            Indian Restaurant  Middle Eastern Restaurant   \n",
       "36                 Dessert Shop         Dim Sum Restaurant   \n",
       "37                 Liquor Store              Movie Theater   \n",
       "38                        Diner                        Pub   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "0            Burger Joint  \n",
       "1        Department Store  \n",
       "2            Intersection  \n",
       "3        Recording Studio  \n",
       "4                     Bar  \n",
       "5                 Butcher  \n",
       "6                  Bakery  \n",
       "7                    Park  \n",
       "8             Gas Station  \n",
       "9               Gastropub  \n",
       "10     Italian Restaurant  \n",
       "11           Gourmet Shop  \n",
       "12             Donut Shop  \n",
       "13     Light Rail Station  \n",
       "14                    Bar  \n",
       "15  Portuguese Restaurant  \n",
       "16                    Gym  \n",
       "17             Donut Shop  \n",
       "18           Noodle House  \n",
       "19             Shoe Store  \n",
       "20                  Plaza  \n",
       "21              Speakeasy  \n",
       "22             Donut Shop  \n",
       "23                Brewery  \n",
       "24       Doner Restaurant  \n",
       "25                  Diner  \n",
       "26          Movie Theater  \n",
       "27     Italian Restaurant  \n",
       "28       Doner Restaurant  \n",
       "29                Dog Run  \n",
       "30                   Park  \n",
       "31             Restaurant  \n",
       "32                  Hotel  \n",
       "33                   Park  \n",
       "34     Seafood Restaurant  \n",
       "35                    Pub  \n",
       "36                  Diner  \n",
       "37            Coffee Shop  \n",
       "38   Caribbean Restaurant  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a new dataframe and includes the top 10 venues for each neighborhood\n",
    "no_of_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(no_of_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = most_common_venues(toronto_grouped.iloc[ind, :], no_of_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform the k-means clustering algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0,\n",
       "       4, 0, 1, 0, 0, 0, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# use k-means to cluster the neighborhood into 5 clusters\n",
    "# set number of clusters\n",
    "kclusters = 5\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "toronto_kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "toronto_kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>Postcode</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",
       "      <td>0</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Shoe Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough              Neighborhood   Latitude  Longitude  \\\n",
       "0      M5A  Downtown Toronto              Harbourfront  43.654260 -79.360636   \n",
       "1      M7A  Downtown Toronto              Queen's Park  43.662301 -79.389494   \n",
       "2      M5B  Downtown Toronto  Ryerson, Garden District  43.657162 -79.378937   \n",
       "3      M5C  Downtown Toronto            St. James Town  43.651494 -79.375418   \n",
       "4      M4E      East Toronto               The Beaches  43.676357 -79.293031   \n",
       "\n",
       "   Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0               0           Coffee Shop                   Pub   \n",
       "1               0           Coffee Shop                   Gym   \n",
       "2               0           Coffee Shop        Clothing Store   \n",
       "3               0                  Café           Coffee Shop   \n",
       "4               0                   Pub                  Park   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0                  Park                Bakery    Mexican Restaurant   \n",
       "1                  Park          Burger Joint  Fast Food Restaurant   \n",
       "2   Japanese Restaurant                  Café        Cosmetics Shop   \n",
       "3            Restaurant        Clothing Store        Breakfast Spot   \n",
       "4  Other Great Outdoors                 Trail     Health Food Store   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0                Theater        Breakfast Spot            Restaurant   \n",
       "1  Portuguese Restaurant    Mexican Restaurant             Juice Bar   \n",
       "2              Bookstore       Thai Restaurant                Bakery   \n",
       "3               Beer Bar        Cosmetics Shop   American Restaurant   \n",
       "4       Asian Restaurant         Women's Store          Dessert Shop   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "0                  Café             Shoe Store  \n",
       "1   Japanese Restaurant     Italian Restaurant  \n",
       "2        Lingerie Store             Restaurant  \n",
       "3                Bakery                  Hotel  \n",
       "4    Dim Sum Restaurant                  Diner  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a new dataframe that includes the 5 clusters + top 10 venues for each neighborhood\n",
    "toronto_df.columns = ['Postcode','Borough','Neighborhood','Latitude','Longitude']\n",
    "\n",
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0,'Cluster Labels',toronto_kmeans.labels_)\n",
    "\n",
    "toronto_merged = toronto_df\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on ='Neighborhood')\n",
    "\n",
    "# check the last columns!\n",
    "toronto_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of New York City are 40.7127281, -74.0060152.\n"
     ]
    }
   ],
   "source": [
    "address = 'New York City, NY'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"ny_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of New York City are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
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        var popup_6f1cf927a461497aa89107a8dc0cbb4b = L.popup({"maxWidth": "100%"});

        
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        circle_marker_b16df670f60a4335972f53204166268a.bindPopup(popup_6f1cf927a461497aa89107a8dc0cbb4b)
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            var circle_marker_3e04ed743eab4a10a90d22776b4ba39a = L.circleMarker(
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        var popup_11da252e23ac47a8b14a7ff6cadd63cf = L.popup({"maxWidth": "100%"});

        
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        circle_marker_3e04ed743eab4a10a90d22776b4ba39a.bindPopup(popup_11da252e23ac47a8b14a7ff6cadd63cf)
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            var circle_marker_b555c98faaf04342bbd222de968eca15 = L.circleMarker(
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        var popup_fc19103cc528441b86c6ddc09bab5ae6 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_b555c98faaf04342bbd222de968eca15.bindPopup(popup_fc19103cc528441b86c6ddc09bab5ae6)
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            var circle_marker_11f61ade46be4761935245afc25f29fd = L.circleMarker(
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        var popup_28d0135aa4514db9be1b15637994b193 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_11f61ade46be4761935245afc25f29fd.bindPopup(popup_28d0135aa4514db9be1b15637994b193)
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        circle_marker_ff653f5d6dfd43d5acafc63ce972252d.bindPopup(popup_18eb397dce374f29b2a9ad56c8a6e6cf)
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            var circle_marker_9d27a753364d4c68a1b924259f99a8b2 = L.circleMarker(
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        circle_marker_9d27a753364d4c68a1b924259f99a8b2.bindPopup(popup_36105f2cb9ca40918e57b28d53e9ad19)
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        circle_marker_1fe4db5dcca643b598c5a17a9c3a93b6.bindPopup(popup_1a46dcce18334558b24cefa9eb8bf854)
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        circle_marker_d99975d7ad1349efa0b4f89cca07a889.bindPopup(popup_97e64ead7aba4de898767b1ead88903e)
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            var circle_marker_06258ff9a87c4cf4be03d697d6d9b772 = L.circleMarker(
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        var popup_b020980de4e34143b267fb2f2c7389ed = L.popup({"maxWidth": "100%"});

        
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        circle_marker_06258ff9a87c4cf4be03d697d6d9b772.bindPopup(popup_b020980de4e34143b267fb2f2c7389ed)
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            popup_ad3eaa6771e14c65a24da487ec8ff248.setContent(html_52caf46778f643b3aaf279609538a4ad);
        

        circle_marker_208eaadcf9e84944bf6a5195e2afceaf.bindPopup(popup_ad3eaa6771e14c65a24da487ec8ff248)
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        var popup_d80ceeb044a24cf6b7efbcbe729c39ff = L.popup({"maxWidth": "100%"});

        
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            popup_d80ceeb044a24cf6b7efbcbe729c39ff.setContent(html_31277eecd9e74cf49697792c0dae7ddc);
        

        circle_marker_41692dc3b8f74b00992265417d142868.bindPopup(popup_d80ceeb044a24cf6b7efbcbe729c39ff)
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            popup_50bb63c593c942f29d91969468de10ab.setContent(html_ce01c860fbde40aa898b1a93fa9aa5c0);
        

        circle_marker_53e744fd3c6e444db309295d838d4706.bindPopup(popup_50bb63c593c942f29d91969468de10ab)
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        var popup_0bac3494cc444ea8af49a2fee444425d = L.popup({"maxWidth": "100%"});

        
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            popup_0bac3494cc444ea8af49a2fee444425d.setContent(html_dcfef6a1ab9a4306837fdd16229dc622);
        

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            popup_dff46b7aaeaa4ac280af3dcb3ee4ef49.setContent(html_2929826ab8f547aeb93e0f34903d7c4a);
        

        circle_marker_058b4da3b162440cb0c6d7dae396d064.bindPopup(popup_dff46b7aaeaa4ac280af3dcb3ee4ef49)
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            var circle_marker_f81ccf35997a4a4993e819c73f9c98c2 = L.circleMarker(
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        circle_marker_f81ccf35997a4a4993e819c73f9c98c2.bindPopup(popup_6e41f1bb2b034ea2a2ba4ddb1ef074e9)
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            var circle_marker_e2236013bf7d4df7bbf454d2220942b8 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_733d08c88e034c46b05c894627a8a6e4);
        
    
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            var html_76c931f9fedb47b9813d3458b6a8a3eb = $(`<div id="html_76c931f9fedb47b9813d3458b6a8a3eb" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town Cluster 0</div>`)[0];
            popup_10f4a413d647489cb745399ec1193932.setContent(html_76c931f9fedb47b9813d3458b6a8a3eb);
        

        circle_marker_e2236013bf7d4df7bbf454d2220942b8.bindPopup(popup_10f4a413d647489cb745399ec1193932)
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            var circle_marker_ecb889551a9a4811aef9001131c2066a = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_7323389bacc24a2ba92366a148a5105b = L.popup({"maxWidth": "100%"});

        
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            popup_7323389bacc24a2ba92366a148a5105b.setContent(html_18fbb3cc221a44989bff4bea8ac14697);
        

        circle_marker_ecb889551a9a4811aef9001131c2066a.bindPopup(popup_7323389bacc24a2ba92366a148a5105b)
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            var circle_marker_21d5b1ef72a145cd94d5914ee80b06de = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_733d08c88e034c46b05c894627a8a6e4);
        
    
        var popup_75bd6566cae84ac5865e6fc972c6936a = L.popup({"maxWidth": "100%"});

        
            var html_ca5a541285d24b1a835624fd989df627 = $(`<div id="html_ca5a541285d24b1a835624fd989df627" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 0</div>`)[0];
            popup_75bd6566cae84ac5865e6fc972c6936a.setContent(html_ca5a541285d24b1a835624fd989df627);
        

        circle_marker_21d5b1ef72a145cd94d5914ee80b06de.bindPopup(popup_75bd6566cae84ac5865e6fc972c6936a)
        ;

        
    
    
            var circle_marker_ec61c5364a47444e88a801fc821037eb = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_733d08c88e034c46b05c894627a8a6e4);
        
    
        var popup_234d7911f9b749e089b4836157523b1a = L.popup({"maxWidth": "100%"});

        
            var html_737a56501c5b4a4ba137ff5c5048aa21 = $(`<div id="html_737a56501c5b4a4ba137ff5c5048aa21" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 0</div>`)[0];
            popup_234d7911f9b749e089b4836157523b1a.setContent(html_737a56501c5b4a4ba137ff5c5048aa21);
        

        circle_marker_ec61c5364a47444e88a801fc821037eb.bindPopup(popup_234d7911f9b749e089b4836157523b1a)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x20f851dc248>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create the map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Shoe Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Gas Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Intersection</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Park</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Park</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Speakeasy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Toy / Game Store</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Poutine Place</td>\n",
       "      <td>Noodle House</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Light Rail Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Butcher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Skate Park</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Recording Studio</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0   Downtown Toronto               0           Coffee Shop   \n",
       "1   Downtown Toronto               0           Coffee Shop   \n",
       "2   Downtown Toronto               0           Coffee Shop   \n",
       "3   Downtown Toronto               0                  Café   \n",
       "4       East Toronto               0                   Pub   \n",
       "5   Downtown Toronto               0           Coffee Shop   \n",
       "6   Downtown Toronto               0           Coffee Shop   \n",
       "7   Downtown Toronto               0         Grocery Store   \n",
       "8   Downtown Toronto               0           Coffee Shop   \n",
       "9       West Toronto               0              Pharmacy   \n",
       "10  Downtown Toronto               0           Coffee Shop   \n",
       "11      West Toronto               0                   Bar   \n",
       "12      East Toronto               0      Greek Restaurant   \n",
       "13  Downtown Toronto               0           Coffee Shop   \n",
       "14      West Toronto               0                  Café   \n",
       "15      East Toronto               0                  Park   \n",
       "16  Downtown Toronto               0           Coffee Shop   \n",
       "17      East Toronto               0                  Café   \n",
       "20   Central Toronto               0                   Gym   \n",
       "22      West Toronto               0    Mexican Restaurant   \n",
       "23   Central Toronto               0        Clothing Store   \n",
       "24   Central Toronto               0        Sandwich Place   \n",
       "25      West Toronto               0             Gift Shop   \n",
       "26   Central Toronto               0          Dessert Shop   \n",
       "27  Downtown Toronto               0                  Café   \n",
       "28      West Toronto               0           Pizza Place   \n",
       "30  Downtown Toronto               0                   Bar   \n",
       "31   Central Toronto               0                   Pub   \n",
       "32  Downtown Toronto               0       Airport Service   \n",
       "34  Downtown Toronto               0           Coffee Shop   \n",
       "35  Downtown Toronto               0           Coffee Shop   \n",
       "36  Downtown Toronto               0           Coffee Shop   \n",
       "37  Downtown Toronto               0           Coffee Shop   \n",
       "38      East Toronto               0           Yoga Studio   \n",
       "\n",
       "   2nd Most Common Venue    3rd Most Common Venue  \\\n",
       "0                    Pub                     Park   \n",
       "1                    Gym                     Park   \n",
       "2         Clothing Store      Japanese Restaurant   \n",
       "3            Coffee Shop               Restaurant   \n",
       "4                   Park     Other Great Outdoors   \n",
       "5     Seafood Restaurant              Cheese Shop   \n",
       "6         Sandwich Place       Italian Restaurant   \n",
       "7                   Café                     Park   \n",
       "8                   Café                      Bar   \n",
       "9                 Bakery       Athletics & Sports   \n",
       "10              Aquarium       Italian Restaurant   \n",
       "11            Restaurant              Coffee Shop   \n",
       "12    Italian Restaurant              Coffee Shop   \n",
       "13                  Café                    Hotel   \n",
       "14        Breakfast Spot              Coffee Shop   \n",
       "15           Pizza Place                      Gym   \n",
       "16                  Café               Restaurant   \n",
       "17           Coffee Shop                Gastropub   \n",
       "20                 Hotel             Dance Studio   \n",
       "22                  Café          Thai Restaurant   \n",
       "23           Coffee Shop              Yoga Studio   \n",
       "24                  Café              Coffee Shop   \n",
       "25             Bookstore         Cuban Restaurant   \n",
       "26        Sandwich Place              Pizza Place   \n",
       "27            Restaurant                   Bakery   \n",
       "28                  Café              Coffee Shop   \n",
       "30                  Café    Vietnamese Restaurant   \n",
       "31           Coffee Shop  Health & Beauty Service   \n",
       "32        Airport Lounge         Airport Terminal   \n",
       "34                  Café               Restaurant   \n",
       "35            Restaurant                   Bakery   \n",
       "36                  Café               Restaurant   \n",
       "37   Japanese Restaurant                  Gay Bar   \n",
       "38         Auto Workshop               Skate Park   \n",
       "\n",
       "          4th Most Common Venue   5th Most Common Venue  \\\n",
       "0                        Bakery      Mexican Restaurant   \n",
       "1                  Burger Joint    Fast Food Restaurant   \n",
       "2                          Café          Cosmetics Shop   \n",
       "3                Clothing Store          Breakfast Spot   \n",
       "4                         Trail       Health Food Store   \n",
       "5                    Steakhouse                  Bakery   \n",
       "6                     Juice Bar            Burger Joint   \n",
       "7                    Baby Store              Restaurant   \n",
       "8               Thai Restaurant              Steakhouse   \n",
       "9                      Bus Stop                    Café   \n",
       "10                         Café                   Hotel   \n",
       "11             Asian Restaurant             Men's Store   \n",
       "12                    Bookstore  Furniture / Home Store   \n",
       "13                   Restaurant      Italian Restaurant   \n",
       "14                       Bakery            Climbing Gym   \n",
       "15             Sushi Restaurant          Ice Cream Shop   \n",
       "16                        Hotel                     Gym   \n",
       "17                       Bakery                 Brewery   \n",
       "20               Sandwich Place       Food & Drink Shop   \n",
       "22         Fast Food Restaurant     Fried Chicken Joint   \n",
       "23                 Dessert Shop      Mexican Restaurant   \n",
       "24                     Pharmacy          History Museum   \n",
       "25  Eastern European Restaurant                 Dog Run   \n",
       "26                          Gym             Coffee Shop   \n",
       "27                          Bar               Bookstore   \n",
       "28           Italian Restaurant        Sushi Restaurant   \n",
       "30          Dumpling Restaurant      Chinese Restaurant   \n",
       "31                 Liquor Store              Sports Bar   \n",
       "32                     Boutique         Harbor / Marina   \n",
       "34           Italian Restaurant      Seafood Restaurant   \n",
       "35           Italian Restaurant             Pizza Place   \n",
       "36                        Hotel                  Bakery   \n",
       "37             Sushi Restaurant              Restaurant   \n",
       "38                   Smoke Shop                     Spa   \n",
       "\n",
       "        6th Most Common Venue          7th Most Common Venue  \\\n",
       "0                     Theater                 Breakfast Spot   \n",
       "1       Portuguese Restaurant             Mexican Restaurant   \n",
       "2                   Bookstore                Thai Restaurant   \n",
       "3                    Beer Bar                 Cosmetics Shop   \n",
       "4            Asian Restaurant                  Women's Store   \n",
       "5              Farmers Market                           Café   \n",
       "6         Japanese Restaurant                 Ice Cream Shop   \n",
       "7          Italian Restaurant             Athletics & Sports   \n",
       "8                      Bakery                 Cosmetics Shop   \n",
       "9   Middle Eastern Restaurant                    Supermarket   \n",
       "10             Scenic Lookout                        Brewery   \n",
       "11      Vietnamese Restaurant                           Café   \n",
       "12             Ice Cream Shop                   Dessert Shop   \n",
       "13                 Steakhouse            American Restaurant   \n",
       "14              Burrito Place                        Stadium   \n",
       "15          Fish & Chips Shop             Italian Restaurant   \n",
       "16        American Restaurant             Seafood Restaurant   \n",
       "17         Italian Restaurant            American Restaurant   \n",
       "20           Department Store                 Breakfast Spot   \n",
       "22                Music Venue                          Diner   \n",
       "23         Salon / Barbershop             Chinese Restaurant   \n",
       "24               Liquor Store                   Burger Joint   \n",
       "25         Italian Restaurant                            Bar   \n",
       "26         Italian Restaurant                           Café   \n",
       "27        Japanese Restaurant                   Dessert Shop   \n",
       "28                        Gym                   Gourmet Shop   \n",
       "30                Coffee Shop  Vegetarian / Vegan Restaurant   \n",
       "31                 Restaurant                    Supermarket   \n",
       "32        Rental Car Location                    Coffee Shop   \n",
       "34                   Beer Bar                          Hotel   \n",
       "35         Chinese Restaurant                            Pub   \n",
       "36                  Gastropub                            Bar   \n",
       "37                        Pub                    Men's Store   \n",
       "38              Burrito Place                 Farmers Market   \n",
       "\n",
       "        8th Most Common Venue      9th Most Common Venue  \\\n",
       "0                  Restaurant                       Café   \n",
       "1                   Juice Bar        Japanese Restaurant   \n",
       "2                      Bakery             Lingerie Store   \n",
       "3         American Restaurant                     Bakery   \n",
       "4                Dessert Shop         Dim Sum Restaurant   \n",
       "5                    Beer Bar               Cocktail Bar   \n",
       "6          Chinese Restaurant            Thai Restaurant   \n",
       "7                       Diner                  Nightclub   \n",
       "8            Sushi Restaurant                 Restaurant   \n",
       "9                         Bar                       Bank   \n",
       "10                 Restaurant        Fried Chicken Joint   \n",
       "11                Pizza Place                Yoga Studio   \n",
       "12                      Diner                        Pub   \n",
       "13                  Gastropub         Seafood Restaurant   \n",
       "14         Italian Restaurant                 Restaurant   \n",
       "15               Liquor Store              Movie Theater   \n",
       "16                     Bakery                 Steakhouse   \n",
       "17                Yoga Studio                       Park   \n",
       "20                       Park        Dumpling Restaurant   \n",
       "22  Cajun / Creole Restaurant                  Bookstore   \n",
       "23       Fast Food Restaurant        Sporting Goods Shop   \n",
       "24          Indian Restaurant  Middle Eastern Restaurant   \n",
       "25                       Bank                 Restaurant   \n",
       "26           Sushi Restaurant           Toy / Game Store   \n",
       "27                        Pub              Poutine Place   \n",
       "28                 Restaurant                        Pub   \n",
       "30         Mexican Restaurant                     Bakery   \n",
       "31           Sushi Restaurant        Fried Chicken Joint   \n",
       "32                      Plane              Boat or Ferry   \n",
       "34        Japanese Restaurant                Cheese Shop   \n",
       "35                       Café                       Park   \n",
       "36        American Restaurant         Seafood Restaurant   \n",
       "37   Mediterranean Restaurant                      Hotel   \n",
       "38       Fast Food Restaurant                 Restaurant   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "0              Shoe Store  \n",
       "1      Italian Restaurant  \n",
       "2              Restaurant  \n",
       "3                   Hotel  \n",
       "4                   Diner  \n",
       "5        Department Store  \n",
       "6                  Bakery  \n",
       "7             Gas Station  \n",
       "8            Burger Joint  \n",
       "9   Portuguese Restaurant  \n",
       "10                  Plaza  \n",
       "11                Brewery  \n",
       "12   Caribbean Restaurant  \n",
       "13                    Bar  \n",
       "14           Intersection  \n",
       "15            Coffee Shop  \n",
       "16     Italian Restaurant  \n",
       "17     Seafood Restaurant  \n",
       "20             Donut Shop  \n",
       "22              Speakeasy  \n",
       "23                  Diner  \n",
       "24                    Pub  \n",
       "25          Movie Theater  \n",
       "26           Gourmet Shop  \n",
       "27           Noodle House  \n",
       "28                   Park  \n",
       "30                   Park  \n",
       "31     Light Rail Station  \n",
       "32                    Bar  \n",
       "34                   Park  \n",
       "35                Butcher  \n",
       "36                    Gym  \n",
       "37              Gastropub  \n",
       "38       Recording Studio  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 1\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Tennis Court</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "29  Central Toronto               1            Playground   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "29          Tennis Court         Women's Store         Deli / Bodega   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "29  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "29   Dumpling Restaurant            Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 2\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "21   Central Toronto               2                  Park   \n",
       "33  Downtown Toronto               2                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "21         Jewelry Store                 Trail      Sushi Restaurant   \n",
       "33            Playground                 Trail         Women's Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "21         Women's Store      Department Store            Electronics Store   \n",
       "33         Deli / Bodega     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "21  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  \n",
       "33          Dumpling Restaurant            Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 3\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "19  Central Toronto               3           Music Venue   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "19                  Pool                Garden          Dance Studio   \n",
       "\n",
       "   5th Most Common Venue        6th Most Common Venue 7th Most Common Venue  \\\n",
       "19     Electronics Store  Eastern European Restaurant   Dumpling Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "19            Donut Shop      Doner Restaurant                Dog Run  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 4\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 3, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "18  Central Toronto               4                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "18           Swim School              Bus Line         Women's Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "18          Dessert Shop  Ethiopian Restaurant     Electronics Store   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "18  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 5\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Coffee Shop           13\n",
       "Café                   4\n",
       "Park                   4\n",
       "Pub                    2\n",
       "Bar                    2\n",
       "Gym                    1\n",
       "Airport Service        1\n",
       "Grocery Store          1\n",
       "Dessert Shop           1\n",
       "Gift Shop              1\n",
       "Sandwich Place         1\n",
       "Pizza Place            1\n",
       "Playground             1\n",
       "Music Venue            1\n",
       "Mexican Restaurant     1\n",
       "Greek Restaurant       1\n",
       "Yoga Studio            1\n",
       "Pharmacy               1\n",
       "Clothing Store         1\n",
       "Name: 1st Most Common Venue, dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show the most common venues in Toronto\n",
    "neighborhoods_venues_sorted['1st Most Common Venue'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like Toronto area is surrounded by parks and coffee shops and cafes. A good sign for our business partner, YogaBear to open a yoga studio in the area.\n",
    "\n",
    "Now, let's check how many of those yoga studios, parks and cafes/coffee shops are actually available in the area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sort based on the number of yoga studio available in each neighborhood\n",
    "toronto_no_yoga = toronto_grouped2.sort_values('Yoga Studio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Workshop</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Stop</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Climbing Gym</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Auditorium</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Costume Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Frozen Yogurt Shop</th>\n",
       "      <th>Fruit &amp; Vegetable Store</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Garden</th>\n",
       "      <th>Garden Center</th>\n",
       "      <th>Gas Station</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Gluten-free Restaurant</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Health Food Store</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hospital</th>\n",
       "      <th>Hostel</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Hotpot Restaurant</th>\n",
       "      <th>IT Services</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indoor Play Area</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>Juice Bar</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Lake</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Light Rail Station</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Mac &amp; Cheese Joint</th>\n",
       "      <th>Market</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Plane</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Recording Studio</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skate Park</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Stadium</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Swim School</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Neighborhood  Yoga Studio  Afghan Restaurant  Airport  \\\n",
       "0      Adelaide, King, Richmond            0                  0        0   \n",
       "26       Parkdale, Roncesvalles            0                  0        0   \n",
       "31     Ryerson, Garden District            0                  0        0   \n",
       "24  Moore Park, Summerhill East            0                  0        0   \n",
       "32               St. James Town            0                  0        0   \n",
       "\n",
       "    Airport Food Court  Airport Lounge  Airport Service  Airport Terminal  \\\n",
       "0                    0               0                0                 0   \n",
       "26                   0               0                0                 0   \n",
       "31                   0               0                0                 0   \n",
       "24                   0               0                0                 0   \n",
       "32                   0               0                0                 0   \n",
       "\n",
       "    American Restaurant  Antique Shop  Aquarium  Art Gallery  \\\n",
       "0                     2             0         0            1   \n",
       "26                    0             0         0            0   \n",
       "31                    1             0         0            1   \n",
       "24                    0             0         0            0   \n",
       "32                    3             0         0            1   \n",
       "\n",
       "    Arts & Crafts Store  Asian Restaurant  Athletics & Sports  Auto Workshop  \\\n",
       "0                     0                 2                   0              0   \n",
       "26                    0                 0                   0              0   \n",
       "31                    0                 0                   0              0   \n",
       "24                    0                 0                   0              0   \n",
       "32                    0                 1                   0              0   \n",
       "\n",
       "    BBQ Joint  Baby Store  Bagel Shop  Bakery  Bank  Bar  Baseball Stadium  \\\n",
       "0           0           0           0       3     0    4                 0   \n",
       "26          0           0           0       0     1    1                 0   \n",
       "31          0           0           0       2     1    1                 0   \n",
       "24          0           0           0       0     0    0                 0   \n",
       "32          2           0           1       3     0    0                 0   \n",
       "\n",
       "    Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  Beer Store  \\\n",
       "0                    0      0                0         0           0   \n",
       "26                   0      0                0         0           0   \n",
       "31                   0      0                0         1           0   \n",
       "24                   0      0                0         0           0   \n",
       "32                   0      0                0         3           0   \n",
       "\n",
       "    Belgian Restaurant  Bistro  Boat or Ferry  Bookstore  Boutique  \\\n",
       "0                    0       0              0          1         0   \n",
       "26                   0       0              0          1         0   \n",
       "31                   0       0              0          2         0   \n",
       "24                   0       0              0          0         0   \n",
       "32                   0       0              0          1         0   \n",
       "\n",
       "    Brazilian Restaurant  Breakfast Spot  Brewery  Bubble Tea Shop  Building  \\\n",
       "0                      1               2        0                0         1   \n",
       "26                     0               1        0                0         0   \n",
       "31                     0               0        0                2         0   \n",
       "24                     0               0        0                0         0   \n",
       "32                     0               3        0                0         0   \n",
       "\n",
       "    Burger Joint  Burrito Place  Bus Line  Bus Stop  Butcher  Café  \\\n",
       "0              3              1         0         0        0     4   \n",
       "26             0              0         0         0        0     0   \n",
       "31             2              1         0         0        0     3   \n",
       "24             0              0         0         0        0     0   \n",
       "32             1              0         0         0        1     6   \n",
       "\n",
       "    Cajun / Creole Restaurant  Camera Store  Candy Store  \\\n",
       "0                           0             0            0   \n",
       "26                          0             0            0   \n",
       "31                          0             0            0   \n",
       "24                          0             0            0   \n",
       "32                          0             1            0   \n",
       "\n",
       "    Caribbean Restaurant  Cheese Shop  Chinese Restaurant  Chocolate Shop  \\\n",
       "0                      0            0                   0               0   \n",
       "26                     0            0                   0               0   \n",
       "31                     0            0                   1               0   \n",
       "24                     0            0                   0               0   \n",
       "32                     0            1                   0               0   \n",
       "\n",
       "    Church  Climbing Gym  Clothing Store  Cocktail Bar  Coffee Shop  \\\n",
       "0        0             0               1             0            6   \n",
       "26       0             0               0             0            1   \n",
       "31       0             0               7             0            8   \n",
       "24       0             0               0             0            0   \n",
       "32       1             0               4             2            6   \n",
       "\n",
       "    College Arts Building  College Auditorium  College Gym  \\\n",
       "0                       0                   0            0   \n",
       "26                      0                   0            0   \n",
       "31                      0                   0            0   \n",
       "24                      0                   0            0   \n",
       "32                      0                   0            0   \n",
       "\n",
       "    College Rec Center  Colombian Restaurant  Comfort Food Restaurant  \\\n",
       "0                    0                     1                        0   \n",
       "26                   0                     0                        0   \n",
       "31                   1                     0                        0   \n",
       "24                   0                     0                        0   \n",
       "32                   0                     0                        1   \n",
       "\n",
       "    Comic Shop  Concert Hall  Convenience Store  Cosmetics Shop  Costume Shop  \\\n",
       "0            0             2                  0               3             0   \n",
       "26           0             0                  0               0             0   \n",
       "31           1             0                  0               3             0   \n",
       "24           0             0                  0               0             0   \n",
       "32           0             0                  0               3             0   \n",
       "\n",
       "    Coworking Space  Creperie  Cuban Restaurant  Cupcake Shop  Dance Studio  \\\n",
       "0                 0         0                 0             0             0   \n",
       "26                0         0                 1             0             0   \n",
       "31                0         0                 0             0             0   \n",
       "24                0         0                 0             0             0   \n",
       "32                0         1                 0             0             0   \n",
       "\n",
       "    Deli / Bodega  Department Store  Dessert Shop  Dim Sum Restaurant  Diner  \\\n",
       "0               1                 1             0                   0      0   \n",
       "26              0                 0             1                   0      0   \n",
       "31              0                 1             1                   0      2   \n",
       "24              0                 0             0                   0      0   \n",
       "32              0                 2             0                   0      3   \n",
       "\n",
       "    Discount Store  Dog Run  Doner Restaurant  Donut Shop  \\\n",
       "0                0        0                 0           0   \n",
       "26               0        1                 0           0   \n",
       "31               0        0                 0           0   \n",
       "24               0        0                 0           0   \n",
       "32               0        0                 0           0   \n",
       "\n",
       "    Dumpling Restaurant  Eastern European Restaurant  Electronics Store  \\\n",
       "0                     0                            0                  1   \n",
       "26                    0                            1                  0   \n",
       "31                    0                            0                  2   \n",
       "24                    0                            0                  0   \n",
       "32                    0                            0                  1   \n",
       "\n",
       "    Ethiopian Restaurant  Event Space  Falafel Restaurant  Farmers Market  \\\n",
       "0                      0            0                   0               0   \n",
       "26                     0            0                   0               0   \n",
       "31                     1            0                   0               0   \n",
       "24                     0            0                   0               0   \n",
       "32                     0            0                   0               2   \n",
       "\n",
       "    Fast Food Restaurant  Filipino Restaurant  Fish & Chips Shop  Fish Market  \\\n",
       "0                      0                    0                  0            0   \n",
       "26                     0                    0                  0            0   \n",
       "31                     2                    0                  0            0   \n",
       "24                     0                    0                  0            0   \n",
       "32                     0                    0                  0            1   \n",
       "\n",
       "    Flea Market  Flower Shop  Food  Food & Drink Shop  Food Court  Food Truck  \\\n",
       "0             0            0     0                  0           1           0   \n",
       "26            0            0     0                  0           0           0   \n",
       "31            0            0     0                  0           0           0   \n",
       "24            0            0     0                  0           0           0   \n",
       "32            0            0     0                  1           0           1   \n",
       "\n",
       "    Fountain  French Restaurant  Fried Chicken Joint  Frozen Yogurt Shop  \\\n",
       "0          0                  0                    0                   0   \n",
       "26         0                  0                    0                   0   \n",
       "31         0                  0                    0                   0   \n",
       "24         0                  0                    0                   0   \n",
       "32         1                  1                    0                   0   \n",
       "\n",
       "    Fruit & Vegetable Store  Furniture / Home Store  Gaming Cafe  Garden  \\\n",
       "0                         0                       1            0       0   \n",
       "26                        0                       0            0       0   \n",
       "31                        0                       1            0       0   \n",
       "24                        0                       0            0       0   \n",
       "32                        0                       1            0       0   \n",
       "\n",
       "    Garden Center  Gas Station  Gastropub  Gay Bar  General Entertainment  \\\n",
       "0               0            0          2        0                      0   \n",
       "26              0            0          0        0                      0   \n",
       "31              0            0          1        0                      0   \n",
       "24              0            0          0        0                      0   \n",
       "32              0            0          2        0                      0   \n",
       "\n",
       "    General Travel  Gift Shop  Gluten-free Restaurant  Gourmet Shop  \\\n",
       "0                1          0                       1             0   \n",
       "26               0          2                       0             0   \n",
       "31               0          0                       0             0   \n",
       "24               0          0                       0             0   \n",
       "32               0          0                       0             0   \n",
       "\n",
       "    Greek Restaurant  Grocery Store  Gym  Gym / Fitness Center  \\\n",
       "0                  1              0    2                     1   \n",
       "26                 0              0    0                     0   \n",
       "31                 0              0    1                     1   \n",
       "24                 0              0    0                     0   \n",
       "32                 0              1    1                     0   \n",
       "\n",
       "    Harbor / Marina  Health & Beauty Service  Health Food Store  \\\n",
       "0                 0                        0                  0   \n",
       "26                0                        0                  0   \n",
       "31                0                        0                  0   \n",
       "24                0                        0                  0   \n",
       "32                0                        0                  0   \n",
       "\n",
       "    Historic Site  History Museum  Hospital  Hostel  Hotel  Hotel Bar  \\\n",
       "0               0               0         0       0      2          0   \n",
       "26              0               0         0       0      0          0   \n",
       "31              0               0         0       0      1          0   \n",
       "24              0               0         0       0      0          0   \n",
       "32              0               0         0       1      3          0   \n",
       "\n",
       "    Hotpot Restaurant  IT Services  Ice Cream Shop  Indian Restaurant  \\\n",
       "0                   0            0               1                  1   \n",
       "26                  0            0               0                  0   \n",
       "31                  0            0               1                  0   \n",
       "24                  0            0               0                  0   \n",
       "32                  0            0               0                  0   \n",
       "\n",
       "    Indie Movie Theater  Indoor Play Area  Intersection  Irish Pub  \\\n",
       "0                     0                 0             0          0   \n",
       "26                    0                 0             0          0   \n",
       "31                    0                 0             0          0   \n",
       "24                    0                 0             0          0   \n",
       "32                    0                 0             0          1   \n",
       "\n",
       "    Italian Restaurant  Japanese Restaurant  Jazz Club  Jewelry Store  \\\n",
       "0                    1                    1          1              0   \n",
       "26                   1                    0          0              0   \n",
       "31                   2                    3          0              0   \n",
       "24                   0                    0          0              0   \n",
       "32                   2                    1          1              0   \n",
       "\n",
       "    Juice Bar  Korean Restaurant  Lake  Latin American Restaurant  \\\n",
       "0           1                  0     0                          1   \n",
       "26          0                  0     0                          0   \n",
       "31          1                  0     1                          0   \n",
       "24          0                  0     0                          0   \n",
       "32          0                  0     0                          1   \n",
       "\n",
       "    Light Rail Station  Lingerie Store  Liquor Store  Lounge  \\\n",
       "0                    0               1             0       1   \n",
       "26                   0               0             0       0   \n",
       "31                   0               2             0       1   \n",
       "24                   0               0             0       0   \n",
       "32                   0               2             0       1   \n",
       "\n",
       "    Mac & Cheese Joint  Market  Massage Studio  Mediterranean Restaurant  \\\n",
       "0                    0       0               0                         1   \n",
       "26                   0       0               0                         0   \n",
       "31                   0       0               0                         0   \n",
       "24                   0       0               0                         0   \n",
       "32                   0       0               0                         0   \n",
       "\n",
       "    Men's Store  Mexican Restaurant  Middle Eastern Restaurant  \\\n",
       "0             0                   0                          0   \n",
       "26            0                   0                          0   \n",
       "31            0                   1                          2   \n",
       "24            0                   0                          0   \n",
       "32            0                   0                          1   \n",
       "\n",
       "    Miscellaneous Shop  Modern European Restaurant  \\\n",
       "0                    0                           1   \n",
       "26                   0                           0   \n",
       "31                   1                           1   \n",
       "24                   0                           0   \n",
       "32                   0                           0   \n",
       "\n",
       "    Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n",
       "0                                 0                    1              0   \n",
       "26                                0                    0              1   \n",
       "31                                0                    0              1   \n",
       "24                                0                    0              0   \n",
       "32                                0                    0              1   \n",
       "\n",
       "    Museum  Music Venue  New American Restaurant  Nightclub  Noodle House  \\\n",
       "0        0            0                        1          0             1   \n",
       "26       0            0                        0          0             0   \n",
       "31       0            1                        0          0             0   \n",
       "24       0            0                        0          0             0   \n",
       "32       0            0                        1          0             0   \n",
       "\n",
       "    Office  Opera House  Optical Shop  Organic Grocery  Other Great Outdoors  \\\n",
       "0        1            1             0                0                     0   \n",
       "26       0            0             0                0                     0   \n",
       "31       1            0             0                0                     1   \n",
       "24       0            0             0                0                     0   \n",
       "32       1            0             0                0                     0   \n",
       "\n",
       "    Park  Performing Arts Venue  Pet Store  Pharmacy  Pizza Place  Plane  \\\n",
       "0      0                      0          0         0            2      0   \n",
       "26     0                      0          0         0            0      0   \n",
       "31     0                      0          0         0            2      0   \n",
       "24     0                      0          0         0            0      0   \n",
       "32     2                      0          0         1            0      0   \n",
       "\n",
       "    Playground  Plaza  Poke Place  Pool  Portuguese Restaurant  Poutine Place  \\\n",
       "0            0      1           1     0                      0              0   \n",
       "26           0      0           0     0                      0              0   \n",
       "31           0      1           0     0                      0              0   \n",
       "24           1      0           0     0                      0              0   \n",
       "32           0      0           1     0                      0              0   \n",
       "\n",
       "    Pub  Ramen Restaurant  Record Shop  Recording Studio  Rental Car Location  \\\n",
       "0     0                 1            0                 0                    0   \n",
       "26    0                 0            0                 0                    0   \n",
       "31    1                 2            0                 0                    0   \n",
       "24    0                 0            0                 0                    0   \n",
       "32    0                 0            0                 0                    0   \n",
       "\n",
       "    Restaurant  Roof Deck  Sake Bar  Salad Place  Salon / Barbershop  \\\n",
       "0            3          0         0            1                   0   \n",
       "26           1          0         0            0                   0   \n",
       "31           2          0         0            0                   0   \n",
       "24           0          0         0            0                   0   \n",
       "32           5          0         0            0                   1   \n",
       "\n",
       "    Sandwich Place  Scenic Lookout  Sculpture Garden  Seafood Restaurant  \\\n",
       "0                0               0                 0                   2   \n",
       "26               0               0                 0                   0   \n",
       "31               1               0                 0                   1   \n",
       "24               0               0                 0                   0   \n",
       "32               0               0                 0                   1   \n",
       "\n",
       "    Shoe Store  Shopping Mall  Skate Park  Skating Rink  Smoke Shop  \\\n",
       "0            0              1           0             0           1   \n",
       "26           0              0           0             0           0   \n",
       "31           1              1           0             0           0   \n",
       "24           0              0           0             0           0   \n",
       "32           0              1           0             0           0   \n",
       "\n",
       "    Snack Place  Southern / Soul Food Restaurant  Spa  Speakeasy  \\\n",
       "0             0                                0    0          1   \n",
       "26            0                                0    0          0   \n",
       "31            0                                0    1          1   \n",
       "24            0                                0    0          0   \n",
       "32            0                                0    0          1   \n",
       "\n",
       "    Sporting Goods Shop  Sports Bar  Stadium  Stationery Store  Steakhouse  \\\n",
       "0                     0           0        0                 0           3   \n",
       "26                    0           0        0                 0           0   \n",
       "31                    1           0        0                 0           1   \n",
       "24                    0           0        0                 0           0   \n",
       "32                    0           0        0                 0           0   \n",
       "\n",
       "    Strip Club  Supermarket  Supplement Shop  Sushi Restaurant  Swim School  \\\n",
       "0            0            0                0                 3            0   \n",
       "26           0            0                0                 0            0   \n",
       "31           0            0                0                 1            0   \n",
       "24           0            0                0                 0            0   \n",
       "32           0            0                0                 0            0   \n",
       "\n",
       "    Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n",
       "0            1            0                     0              0         0   \n",
       "26           0            0                     0              0         0   \n",
       "31           0            0                     0              1         2   \n",
       "24           0            0                     0              0         0   \n",
       "32           0            1                     0              0         0   \n",
       "\n",
       "    Tennis Court  Thai Restaurant  Theater  Theme Restaurant  \\\n",
       "0              0                4        1                 0   \n",
       "26             0                0        0                 0   \n",
       "31             0                2        2                 0   \n",
       "24             1                0        0                 0   \n",
       "32             0                2        1                 0   \n",
       "\n",
       "    Thrift / Vintage Store  Toy / Game Store  Trail  Train Station  \\\n",
       "0                        0                 0      0              0   \n",
       "26                       0                 0      0              0   \n",
       "31                       0                 1      0              0   \n",
       "24                       0                 0      0              0   \n",
       "32                       0                 0      0              0   \n",
       "\n",
       "    Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                               2                 0                      0   \n",
       "26                              0                 0                      0   \n",
       "31                              0                 1                      1   \n",
       "24                              0                 0                      0   \n",
       "32                              1                 0                      0   \n",
       "\n",
       "    Wine Bar  Wings Joint  Women's Store  \n",
       "0          1            0              1  \n",
       "26         0            0              0  \n",
       "31         1            0              0  \n",
       "24         0            0              0  \n",
       "32         1            0              0  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# include only neighboorhoods with zero yoga studio\n",
    "toronto_no_yoga = toronto_no_yoga[toronto_no_yoga['Yoga Studio']==0]\n",
    "toronto_no_yoga.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Park</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>Café</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Christie</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  Park  \\\n",
       "20  Harbourfront East, Toronto Islands, Union Station            0     2   \n",
       "33                    Stn A PO Boxes 25 The Esplanade            0     2   \n",
       "32                                     St. James Town            0     2   \n",
       "7           Chinatown, Grange Park, Kensington Market            0     2   \n",
       "8                                            Christie            0     2   \n",
       "37                     The Beaches West, India Bazaar            0     2   \n",
       "28                                           Rosedale            0     2   \n",
       "10                     Commerce Court, Victoria Hotel            0     1   \n",
       "1                                         Berczy Park            0     1   \n",
       "5                         Cabbagetown, St. James Town            0     1   \n",
       "35                The Annex, North Midtown, Yorkville            0     1   \n",
       "11                                         Davisville            0     1   \n",
       "21                      High Park, The Junction South            0     1   \n",
       "15                       Dovercourt Village, Dufferin            0     1   \n",
       "22                                      Lawrence Park            0     1   \n",
       "17                Forest Hill North, Forest Hill West            0     1   \n",
       "12                                   Davisville North            0     1   \n",
       "36                                        The Beaches            0     1   \n",
       "14           Design Exchange, Toronto Dominion Centre            0     0   \n",
       "16             First Canadian Place, Underground city            0     0   \n",
       "31                           Ryerson, Garden District            0     0   \n",
       "0                            Adelaide, King, Richmond            0     0   \n",
       "2        Brockton, Exhibition Place, Parkdale Village            0     0   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...            0     0   \n",
       "26                             Parkdale, Roncesvalles            0     0   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...            0     0   \n",
       "24                        Moore Park, Summerhill East            0     0   \n",
       "29                                           Roselawn            0     0   \n",
       "\n",
       "    Coffee Shop  Café  \n",
       "20           12     4  \n",
       "33           11     4  \n",
       "32            6     6  \n",
       "7             4     5  \n",
       "8             1     3  \n",
       "37            1     0  \n",
       "28            0     0  \n",
       "10           11     7  \n",
       "1             4     2  \n",
       "5             3     2  \n",
       "35            2     3  \n",
       "11            2     2  \n",
       "21            0     2  \n",
       "15            0     1  \n",
       "22            0     0  \n",
       "17            0     0  \n",
       "12            0     0  \n",
       "36            0     0  \n",
       "14           11     8  \n",
       "16           11     7  \n",
       "31            8     3  \n",
       "0             6     4  \n",
       "2             2     3  \n",
       "13            2     0  \n",
       "26            1     0  \n",
       "4             1     0  \n",
       "24            0     0  \n",
       "29            0     0  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort the neighboorhoods based on the number of parks, coffee shops and cafes\n",
    "toronto_no_yoga2 = toronto_no_yoga.sort_values(by=['Park','Coffee Shop','Café'],ascending=False)[['Neighborhood','Yoga Studio','Park','Coffee Shop','Café']]\n",
    "toronto_no_yoga2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's visualize our data on the chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the above data on barpots\n",
    "fig = plt.figure(figsize=(20,10))\n",
    "\n",
    "ax = plt.subplot(3,1,1)\n",
    "sns.barplot(x='Neighborhood',y='Park',data=toronto_no_yoga2.head(5))\n",
    "\n",
    "ax = plt.subplot(3,1,2)\n",
    "sns.barplot(x='Neighborhood',y='Coffee Shop',data=toronto_no_yoga2.head(5))\n",
    "\n",
    "ax = plt.subplot(3,1,3)\n",
    "sns.barplot(x='Neighborhood',y='Café',data=toronto_no_yoga2.head(5))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the above analysis, we can see that the first three neighborhoods meet our criteria to open a new yoga studio. There is no competition available in those neighborhoods (nil yoga studio), and these places are surrounded by parks and coffee shops/cafes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>Yoga Studio</th>\n",
       "      <th>Park</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>Café</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  Park  \\\n",
       "20  Harbourfront East, Toronto Islands, Union Station            0     2   \n",
       "33                    Stn A PO Boxes 25 The Esplanade            0     2   \n",
       "32                                     St. James Town            0     2   \n",
       "\n",
       "    Coffee Shop  Café  \n",
       "20           12     4  \n",
       "33           11     4  \n",
       "32            6     6  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# our proposed chosen places for our new yoga studio\n",
    "chosen_place = toronto_no_yoga2.head(3)\n",
    "chosen_place"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's plot our proposed locations on the map to see exactly where they are. For comparison, we will also show the locations of the neighborhoods that are not recommended for our new yoga studio (the bottom 8 in the above table)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Park</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>Café</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M5J</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>43.640816</td>\n",
       "      <td>-79.381752</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>43.646435</td>\n",
       "      <td>-79.374846</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough  \\\n",
       "0      M5C  Downtown Toronto   \n",
       "1      M5J  Downtown Toronto   \n",
       "2      M5W  Downtown Toronto   \n",
       "\n",
       "                                        Neighborhood   Latitude  Longitude  \\\n",
       "0                                     St. James Town  43.651494 -79.375418   \n",
       "1  Harbourfront East, Toronto Islands, Union Station  43.640816 -79.381752   \n",
       "2                    Stn A PO Boxes 25 The Esplanade  43.646435 -79.374846   \n",
       "\n",
       "   Yoga Studio  Park  Coffee Shop  Café  \n",
       "0            0     2            6     6  \n",
       "1            0     2           12     4  \n",
       "2            0     2           11     4  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# our proposed chosen places including the latitude and longitude\n",
    "chosen_place_merged = pd.merge(toronto_df,chosen_place[['Neighborhood','Yoga Studio','Park','Coffee Shop','Café']],on='Neighborhood',how='right')\n",
    "chosen_place_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Park</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>Café</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M5H</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>43.636847</td>\n",
       "      <td>-79.428191</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M6R</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>43.648960</td>\n",
       "      <td>-79.456325</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M4T</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>43.689574</td>\n",
       "      <td>-79.383160</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M4V</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>43.686412</td>\n",
       "      <td>-79.400049</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>43.628947</td>\n",
       "      <td>-79.394420</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough  \\\n",
       "0      M5B  Downtown Toronto   \n",
       "1      M5H  Downtown Toronto   \n",
       "2      M6K      West Toronto   \n",
       "3      M5N   Central Toronto   \n",
       "4      M6R      West Toronto   \n",
       "5      M4T   Central Toronto   \n",
       "6      M4V   Central Toronto   \n",
       "7      M5V  Downtown Toronto   \n",
       "\n",
       "                                        Neighborhood   Latitude  Longitude  \\\n",
       "0                           Ryerson, Garden District  43.657162 -79.378937   \n",
       "1                           Adelaide, King, Richmond  43.650571 -79.384568   \n",
       "2       Brockton, Exhibition Place, Parkdale Village  43.636847 -79.428191   \n",
       "3                                           Roselawn  43.711695 -79.416936   \n",
       "4                             Parkdale, Roncesvalles  43.648960 -79.456325   \n",
       "5                        Moore Park, Summerhill East  43.689574 -79.383160   \n",
       "6  Deer Park, Forest Hill SE, Rathnelly, South Hi...  43.686412 -79.400049   \n",
       "7  CN Tower, Bathurst Quay, Island airport, Harbo...  43.628947 -79.394420   \n",
       "\n",
       "   Yoga Studio  Park  Coffee Shop  Café  \n",
       "0            0     0            8     3  \n",
       "1            0     0            6     4  \n",
       "2            0     0            2     3  \n",
       "3            0     0            0     0  \n",
       "4            0     0            1     0  \n",
       "5            0     0            0     0  \n",
       "6            0     0            2     0  \n",
       "7            0     0            1     0  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# other places that are not recommended\n",
    "not_chosen_place = toronto_no_yoga2.tail(8)\n",
    "not_chosen_place_merged = pd.merge(toronto_df,not_chosen_place[['Neighborhood','Yoga Studio','Park','Coffee Shop','Café']],on='Neighborhood',how='right')\n",
    "not_chosen_place_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The coordinate of Toronto, Canada are 43.653963, -79.387207.\n"
     ]
    }
   ],
   "source": [
    "# get the latitude and longitude of Toronto, Canada\n",
    "address = 'Toronto, Canada'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"foursquare_agent\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The coordinate of Toronto, Canada are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
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            ).addTo(map_f21fd6ace1ca4757b5a83ea10731c06f);
        
    
        var popup_817a301dc9ff400fb8dcaeed52425b72 = L.popup({"maxWidth": "100%"});

        
            var html_d1eb1190ca894718b8bee0c04d054bb5 = $(`<div id="html_d1eb1190ca894718b8bee0c04d054bb5" style="width: 100.0%; height: 100.0%;">Roselawn</div>`)[0];
            popup_817a301dc9ff400fb8dcaeed52425b72.setContent(html_d1eb1190ca894718b8bee0c04d054bb5);
        

        circle_marker_cc94433fb0ed4c8dbfeb44411cfcda40.bindPopup(popup_817a301dc9ff400fb8dcaeed52425b72)
        ;

        
    
    
            var circle_marker_249bbd309e264130bd012d76e16d166c = L.circleMarker(
                [43.6489597, -79.456325],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}
            ).addTo(map_f21fd6ace1ca4757b5a83ea10731c06f);
        
    
        var popup_c3ce76e67ae340a4ba75ff2c21a0902f = L.popup({"maxWidth": "100%"});

        
            var html_c5b28f27452a4720a5efb36000a710ea = $(`<div id="html_c5b28f27452a4720a5efb36000a710ea" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles</div>`)[0];
            popup_c3ce76e67ae340a4ba75ff2c21a0902f.setContent(html_c5b28f27452a4720a5efb36000a710ea);
        

        circle_marker_249bbd309e264130bd012d76e16d166c.bindPopup(popup_c3ce76e67ae340a4ba75ff2c21a0902f)
        ;

        
    
    
            var circle_marker_bcc0a8bc67a947bc98196fea1d15e9e5 = L.circleMarker(
                [43.6895743, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}
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        var popup_951a275a79224f37b306c8b765e6bda6 = L.popup({"maxWidth": "100%"});

        
            var html_705772a98cb54b498ce8eac426d7770f = $(`<div id="html_705772a98cb54b498ce8eac426d7770f" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East</div>`)[0];
            popup_951a275a79224f37b306c8b765e6bda6.setContent(html_705772a98cb54b498ce8eac426d7770f);
        

        circle_marker_bcc0a8bc67a947bc98196fea1d15e9e5.bindPopup(popup_951a275a79224f37b306c8b765e6bda6)
        ;

        
    
    
            var circle_marker_2c500b32dd90459097464fe508737f2e = L.circleMarker(
                [43.68641229999999, -79.4000493],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}
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        var popup_33ec7ad5dfbd4bb3a8b98aa9bda05c3b = L.popup({"maxWidth": "100%"});

        
            var html_c4823cc499be413c9e4321bea30a4737 = $(`<div id="html_c4823cc499be413c9e4321bea30a4737" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</div>`)[0];
            popup_33ec7ad5dfbd4bb3a8b98aa9bda05c3b.setContent(html_c4823cc499be413c9e4321bea30a4737);
        

        circle_marker_2c500b32dd90459097464fe508737f2e.bindPopup(popup_33ec7ad5dfbd4bb3a8b98aa9bda05c3b)
        ;

        
    
    
            var circle_marker_8a3b6d92b4a04bc8861783d1fb27a1f1 = L.circleMarker(
                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "red", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 10, "stroke": true, "weight": 3}
            ).addTo(map_f21fd6ace1ca4757b5a83ea10731c06f);
        
    
        var popup_b6484c2e70a4443e9082f516d1c6f55f = L.popup({"maxWidth": "100%"});

        
            var html_56b98303bdf44f82b5b1826f060f99b3 = $(`<div id="html_56b98303bdf44f82b5b1826f060f99b3" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara</div>`)[0];
            popup_b6484c2e70a4443e9082f516d1c6f55f.setContent(html_56b98303bdf44f82b5b1826f060f99b3);
        

        circle_marker_8a3b6d92b4a04bc8861783d1fb27a1f1.bindPopup(popup_b6484c2e70a4443e9082f516d1c6f55f)
        ;

        
    
    
            var circle_marker_18819e3ad42e4cc3b0ab9bd5c97025a9 = L.circleMarker(
                [43.6514939, -79.3754179],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 25, "stroke": true, "weight": 3}
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        var popup_882b8ac6e963480bb999436e797d740a = L.popup({"maxWidth": "100%"});

        
            var html_19a3cb0e8bb341cda81263b368180753 = $(`<div id="html_19a3cb0e8bb341cda81263b368180753" style="width: 100.0%; height: 100.0%;">St. James Town</div>`)[0];
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        circle_marker_18819e3ad42e4cc3b0ab9bd5c97025a9.bindPopup(popup_882b8ac6e963480bb999436e797d740a)
        ;

        
    
    
            var circle_marker_808075df9b9d45dc9572d2608be11cfb = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 25, "stroke": true, "weight": 3}
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        var popup_f122c50cb7504059a65f1751bbbdb62a = L.popup({"maxWidth": "100%"});

        
            var html_bb06ad6439294a71ba14266895702cc0 = $(`<div id="html_bb06ad6439294a71ba14266895702cc0" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station</div>`)[0];
            popup_f122c50cb7504059a65f1751bbbdb62a.setContent(html_bb06ad6439294a71ba14266895702cc0);
        

        circle_marker_808075df9b9d45dc9572d2608be11cfb.bindPopup(popup_f122c50cb7504059a65f1751bbbdb62a)
        ;

        
    
    
            var circle_marker_98db488eeee3489d9ff93007d5151c9a = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 25, "stroke": true, "weight": 3}
            ).addTo(map_f21fd6ace1ca4757b5a83ea10731c06f);
        
    
        var popup_e1d5929f41cc488db763f40293cd4240 = L.popup({"maxWidth": "100%"});

        
            var html_d118b46923924db58f61bf5ce69237e7 = $(`<div id="html_d118b46923924db58f61bf5ce69237e7" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade</div>`)[0];
            popup_e1d5929f41cc488db763f40293cd4240.setContent(html_d118b46923924db58f61bf5ce69237e7);
        

        circle_marker_98db488eeee3489d9ff93007d5151c9a.bindPopup(popup_e1d5929f41cc488db763f40293cd4240)
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x20f8544aec8>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a folium map of Paris with the 3 neighborhoods superimposed on the map\n",
    "map_chosen_place = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "# add markers to map\n",
    "# chosen places\n",
    "for lat, lng, label in zip(not_chosen_place_merged['Latitude'], not_chosen_place_merged['Longitude'], not_chosen_place_merged['Neighborhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=10,\n",
    "        popup=label,\n",
    "        color='red',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.2,\n",
    "        parse_html=False).add_to(map_chosen_place)  \n",
    "\n",
    "# places not chosen\n",
    "for lat, lng, label in zip(chosen_place_merged['Latitude'], chosen_place_merged['Longitude'], chosen_place_merged['Neighborhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=25,\n",
    "        popup=label,\n",
    "        color='green',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.2,\n",
    "        parse_html=False).add_to(map_chosen_place)  \n",
    "    \n",
    "map_chosen_place"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The green markers above are the recommended places for our new yoga studio. YogaBear can choose one of them to begin their first overseas investment. The smaller red markers show the places we do not recommend, at least at this stage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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