Part 3-Clustering.ipynb

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    "### Explore and cluster the neighborhoods in Toronto. You can decide to work with only boroughs that contain the word Toronto and then replicate the same analysis we did to the New York City data. It is up to you.\n",
    "\n",
    "### Just make sure:\n",
    "\n",
    "#### 1- to add enough Markdown cells to explain what you decided to do and to report any observations you make.\n",
    "#### 2-to generate maps to visualize your neighborhoods and how they cluster together."
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing old libraries (also used in the two first parts)\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from bs4 import BeautifulSoup\n",
    "import requests\n",
    "from bs4 import BeautifulSoup as bs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "# importing new libraries\n",
    "import numpy as np # library to handle data in a vectorized manner\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",
    "# !conda install -c conda-forge geopy --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "\n",
    "# !conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "import folium # map rendering library\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the pandas dataframe (created in part 2 of the assignment)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
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       "      <th>Longitude</th>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>M4X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>43.667967</td>\n",
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       "      <td>M4G</td>\n",
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       "      <td>M1W</td>\n",
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       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
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       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>M9P</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Westmount</td>\n",
       "      <td>43.696319</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
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       "   Unnamed: 0 Postcode           Borough                Neighbourhood  \\\n",
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       "1           1      M4G         East York                      Leaside   \n",
       "2           2      M9M        North York             Emery, Humberlea   \n",
       "3           3      M1W       Scarborough                 Steeles West   \n",
       "4           4      M1J       Scarborough          Scarborough Village   \n",
       "5           5      M9P         Etobicoke                    Westmount   \n",
       "6           6      M1G       Scarborough                       Woburn   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.667967 -79.367675  \n",
       "1  43.709060 -79.363452  \n",
       "2  43.724766 -79.532242  \n",
       "3  43.799525 -79.318389  \n",
       "4  43.744734 -79.239476  \n",
       "5  43.696319 -79.532242  \n",
       "6  43.770992 -79.216917  "
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    "df_toronto = pd.read_csv('toronto_base.csv')\n",
    "df_toronto.head(7)"
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   "source": [
    "### Create a map of Toronto"
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   "execution_count": 15,
   "metadata": {},
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x40e0ea4cf8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for the city Toronto, latitude and longtitude are manually extracted via google search\n",
    "toronto_latitude = 43.6532; toronto_longitude = -79.3832\n",
    "map_toronto = folium.Map(location = [toronto_latitude, toronto_longitude], zoom_start = 10.7)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(df_toronto['Latitude'], df_toronto['Longitude'], df_toronto['Borough'], df_toronto['Neighbourhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7).add_to(map_toronto)  \n",
    "    \n",
    "\n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a new data frame with neighborhoods in Scarborough "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# @hiddel_cell\n",
    "CLIENT_ID = '0MJA3NYYG3U2ZY1LTZN2OYEHS3Y3WVSON2GBSO3IL4EDYVIR' # your Foursquare ID\n",
    "CLIENT_SECRET = 'WGWSAF2TKVUQPE3PD0N3EOITFVBY5EYP1VCZI3BMUG0ROUS5' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Unnamed: 0</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",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>M1W</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff</td>\n",
       "      <td>43.692657</td>\n",
       "      <td>-79.264848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>31</td>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "      <td>43.750072</td>\n",
       "      <td>-79.295849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>34</td>\n",
       "      <td>M1V</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt North, Milliken</td>\n",
       "      <td>43.815252</td>\n",
       "      <td>-79.284577</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 Postcode      Borough                           Neighbourhood  \\\n",
       "0           3      M1W  Scarborough                            Steeles West   \n",
       "1           4      M1J  Scarborough                     Scarborough Village   \n",
       "2           6      M1G  Scarborough                                  Woburn   \n",
       "3          10      M1C  Scarborough  Highland Creek, Rouge Hill, Port Union   \n",
       "4          16      M1N  Scarborough                             Birch Cliff   \n",
       "5          31      M1R  Scarborough                       Maryvale, Wexford   \n",
       "6          34      M1V  Scarborough               Agincourt North, Milliken   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.799525 -79.318389  \n",
       "1  43.744734 -79.239476  \n",
       "2  43.770992 -79.216917  \n",
       "3  43.784535 -79.160497  \n",
       "4  43.692657 -79.264848  \n",
       "5  43.750072 -79.295849  \n",
       "6  43.815252 -79.284577  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarborough_data = df_toronto[df_toronto['Borough'] == 'Scarborough'].reset_index(drop=True)\n",
    "scarborough_data.head(7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a map of Scarborough and its neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Scarborough are 43.773077, -79.257774.\n"
     ]
    }
   ],
   "source": [
    "address_scar = 'Scarborough,Toronto'\n",
    "latitude_scar = 43.773077\n",
    "longitude_scar = -79.257774\n",
    "print('The geograpical coordinate of Scarborough are {}, {}.'.format(latitude_scar, longitude_scar))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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  "fill": true,
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x40cd8bd668>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_scarb = folium.Map(location=[latitude_scar, longitude_scar], zoom_start=12)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(scarborough_data['Latitude'], scarborough_data['Longitude'], scarborough_data['Neighbourhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7).add_to(map_scarb)  \n",
    "    \n",
    "map_scarb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the top 100 venues in the neighborhood 'Steeles West', from Scarborough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of \"Steeles West\" are 43.799525200000005, -79.3183887.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = scarborough_data.loc[0, 'Latitude'] # neighbourhood latitude value\n",
    "neighborhood_longitude = scarborough_data.loc[0, 'Longitude'] # neighbourhood longitude value\n",
    "\n",
    "neighborhood_name = scarborough_data.loc[0, 'Neighbourhood'] # neighbourhood name\n",
    "\n",
    "print('Latitude and longitude values of \"{}\" are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 100\n",
    "radius = 500\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude_scar, longitude_scar, VERSION, radius, LIMIT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5b91c580f594df37694226ec'},\n",
       " 'response': {'suggestedFilters': {'header': 'Tap to show:',\n",
       "   'filters': [{'name': 'Open now', 'key': 'openNow'}]},\n",
       "  'headerLocation': 'Scarborough City Centre',\n",
       "  'headerFullLocation': 'Scarborough City Centre, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 43,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.7775770045, 'lng': -79.25155367954714},\n",
       "   'sw': {'lat': 43.7685769955, 'lng': -79.26399432045285}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5085ec39e4b0b1ead2eb0818',\n",
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       "       'categories': [{'id': '4f04b1572fb6e1c99f3db0bf',\n",
       "         'name': 'Storage Facility',\n",
       "         'pluralName': 'Storage Facilities',\n",
       "         'shortName': 'Storage',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/storage_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '478361942'}},\n",
       "      'referralId': 'e-0-4d921a708e5a1456ced399c0-42'}]}]}}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Disney store</td>\n",
       "      <td>Toy / Game Store</td>\n",
       "      <td>43.775537</td>\n",
       "      <td>-79.256833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>St. Andrews Fish &amp; Chips</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>43.771865</td>\n",
       "      <td>-79.252645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tommy Hilfiger Company Store</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>43.776015</td>\n",
       "      <td>-79.257369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>43.776613</td>\n",
       "      <td>-79.258516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SEPHORA</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>43.775592</td>\n",
       "      <td>-79.258242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Coliseum Scarborough Cinemas</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>43.775995</td>\n",
       "      <td>-79.255649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Chipotle Mexican Grill</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>43.776410</td>\n",
       "      <td>-79.258069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hot Topic</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>43.775450</td>\n",
       "      <td>-79.257929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Scarborough Town Centre</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>43.775231</td>\n",
       "      <td>-79.257462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>American Eagle Outfitters</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>43.775908</td>\n",
       "      <td>-79.258352</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           name          categories        lat        lng\n",
       "0                  Disney store    Toy / Game Store  43.775537 -79.256833\n",
       "1      St. Andrews Fish & Chips   Fish & Chips Shop  43.771865 -79.252645\n",
       "2  Tommy Hilfiger Company Store      Clothing Store  43.776015 -79.257369\n",
       "3                     DAVIDsTEA            Tea Room  43.776613 -79.258516\n",
       "4                       SEPHORA      Cosmetics Shop  43.775592 -79.258242\n",
       "5  Coliseum Scarborough Cinemas       Movie Theater  43.775995 -79.255649\n",
       "6        Chipotle Mexican Grill  Mexican Restaurant  43.776410 -79.258069\n",
       "7                     Hot Topic      Clothing Store  43.775450 -79.257929\n",
       "8       Scarborough Town Centre       Shopping Mall  43.775231 -79.257462\n",
       "9     American Eagle Outfitters      Clothing Store  43.775908 -79.258352"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json # library to handle JSON files\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "venues = results['response']['groups'][0]['items']  \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get venues for each neighborhood in Scarborough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Steeles West\n",
      "Scarborough Village\n",
      "Woburn\n",
      "Highland Creek, Rouge Hill, Port Union\n",
      "Birch Cliff\n",
      "Maryvale, Wexford\n",
      "Agincourt North, Milliken\n",
      "Cedarbrae\n",
      "Tam O'Shanter\n",
      "Cliffcrest, Cliffside\n",
      "Morningside, West Hill\n",
      "Rouge, Malvern\n",
      "Agincourt\n",
      "Ionview, Kennedy Park\n",
      "Dorset Park, Scarborough Town Centre, Wexford Heights\n",
      "Upper Rouge\n",
      "Clairlea, Golden Mile, Oakridge\n"
     ]
    }
   ],
   "source": [
    "scarborough_venues = getNearbyVenues(names=scarborough_data['Neighbourhood'],\n",
    "                                   latitudes=scarborough_data['Latitude'],\n",
    "                                   longitudes=scarborough_data['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "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>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Mr Congee Chinese Cuisine 龍粥記</td>\n",
       "      <td>43.798879</td>\n",
       "      <td>-79.318335</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Phoenix Restaurant 金鳳餐廳</td>\n",
       "      <td>43.798198</td>\n",
       "      <td>-79.318432</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Price Chopper</td>\n",
       "      <td>43.799445</td>\n",
       "      <td>-79.318563</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Subway</td>\n",
       "      <td>43.798983</td>\n",
       "      <td>-79.318838</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Shoppers Drug Mart</td>\n",
       "      <td>43.799670</td>\n",
       "      <td>-79.319315</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Tim Hortons</td>\n",
       "      <td>43.798281</td>\n",
       "      <td>-79.318317</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>KFC</td>\n",
       "      <td>43.798938</td>\n",
       "      <td>-79.318854</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Yamamoto Japanese Cuisine 山本盛世</td>\n",
       "      <td>43.798589</td>\n",
       "      <td>-79.318558</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>McDonald's</td>\n",
       "      <td>43.798880</td>\n",
       "      <td>-79.318724</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>Pizza Pizza</td>\n",
       "      <td>43.797909</td>\n",
       "      <td>-79.318113</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0  Steeles West              43.799525              -79.318389   \n",
       "1  Steeles West              43.799525              -79.318389   \n",
       "2  Steeles West              43.799525              -79.318389   \n",
       "3  Steeles West              43.799525              -79.318389   \n",
       "4  Steeles West              43.799525              -79.318389   \n",
       "5  Steeles West              43.799525              -79.318389   \n",
       "6  Steeles West              43.799525              -79.318389   \n",
       "7  Steeles West              43.799525              -79.318389   \n",
       "8  Steeles West              43.799525              -79.318389   \n",
       "9  Steeles West              43.799525              -79.318389   \n",
       "\n",
       "                            Venue  Venue Latitude  Venue Longitude  \\\n",
       "0   Mr Congee Chinese Cuisine 龍粥記       43.798879       -79.318335   \n",
       "1         Phoenix Restaurant 金鳳餐廳       43.798198       -79.318432   \n",
       "2                   Price Chopper       43.799445       -79.318563   \n",
       "3                          Subway       43.798983       -79.318838   \n",
       "4              Shoppers Drug Mart       43.799670       -79.319315   \n",
       "5                     Tim Hortons       43.798281       -79.318317   \n",
       "6                             KFC       43.798938       -79.318854   \n",
       "7  Yamamoto Japanese Cuisine 山本盛世       43.798589       -79.318558   \n",
       "8                      McDonald's       43.798880       -79.318724   \n",
       "9                     Pizza Pizza       43.797909       -79.318113   \n",
       "\n",
       "         Venue Category  \n",
       "0    Chinese Restaurant  \n",
       "1    Chinese Restaurant  \n",
       "2         Grocery Store  \n",
       "3        Sandwich Place  \n",
       "4              Pharmacy  \n",
       "5           Coffee Shop  \n",
       "6  Fast Food Restaurant  \n",
       "7   Japanese Restaurant  \n",
       "8  Fast Food Restaurant  \n",
       "9           Pizza Place  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarborough_venues.head(10)"
   ]
  },
  {
   "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>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n",
       "      <td>43.757410</td>\n",
       "      <td>-79.273304</td>\n",
       "      <td>Jerry's Fish &amp; Chips</td>\n",
       "      <td>43.753717</td>\n",
       "      <td>-79.276784</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>Dairy Queen</td>\n",
       "      <td>43.710378</td>\n",
       "      <td>-79.290701</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>Warden &amp; St. Clair</td>\n",
       "      <td>43.712057</td>\n",
       "      <td>-79.281005</td>\n",
       "      <td>Intersection</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>TTC Bus #68 Warden</td>\n",
       "      <td>43.711778</td>\n",
       "      <td>-79.279714</td>\n",
       "      <td>Bus Line</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>TTC Bus 102 Markham Road</td>\n",
       "      <td>43.711381</td>\n",
       "      <td>-79.279588</td>\n",
       "      <td>Bus Line</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>Warden Station Bus Loop</td>\n",
       "      <td>43.711241</td>\n",
       "      <td>-79.279576</td>\n",
       "      <td>Bus Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>Cafe on the go</td>\n",
       "      <td>43.711151</td>\n",
       "      <td>-79.279469</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>Warden Subway Station</td>\n",
       "      <td>43.711238</td>\n",
       "      <td>-79.279444</td>\n",
       "      <td>Metro Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>Warden Woods Park</td>\n",
       "      <td>43.710527</td>\n",
       "      <td>-79.278966</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>Clairlea Futbol Centre</td>\n",
       "      <td>43.715234</td>\n",
       "      <td>-79.286506</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Neighborhood Latitude  \\\n",
       "79  Dorset Park, Scarborough Town Centre, Wexford ...              43.757410   \n",
       "80                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "81                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "82                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "83                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "84                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "85                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "86                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "87                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "88                    Clairlea, Golden Mile, Oakridge              43.711112   \n",
       "\n",
       "    Neighborhood Longitude                     Venue  Venue Latitude  \\\n",
       "79              -79.273304      Jerry's Fish & Chips       43.753717   \n",
       "80              -79.284577               Dairy Queen       43.710378   \n",
       "81              -79.284577        Warden & St. Clair       43.712057   \n",
       "82              -79.284577        TTC Bus #68 Warden       43.711778   \n",
       "83              -79.284577  TTC Bus 102 Markham Road       43.711381   \n",
       "84              -79.284577   Warden Station Bus Loop       43.711241   \n",
       "85              -79.284577            Cafe on the go       43.711151   \n",
       "86              -79.284577     Warden Subway Station       43.711238   \n",
       "87              -79.284577         Warden Woods Park       43.710527   \n",
       "88              -79.284577    Clairlea Futbol Centre       43.715234   \n",
       "\n",
       "    Venue Longitude     Venue Category  \n",
       "79       -79.276784  Fish & Chips Shop  \n",
       "80       -79.290701     Ice Cream Shop  \n",
       "81       -79.281005       Intersection  \n",
       "82       -79.279714           Bus Line  \n",
       "83       -79.279588           Bus Line  \n",
       "84       -79.279576        Bus Station  \n",
       "85       -79.279469             Bakery  \n",
       "86       -79.279444      Metro Station  \n",
       "87       -79.278966               Park  \n",
       "88       -79.286506       Soccer Field  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarborough_venues.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Agincourt</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agincourt North, Milliken</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Birch Cliff</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cedarbrae</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clairlea, Golden Mile, Oakridge</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cliffcrest, Cliffside</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dorset Park, Scarborough Town Centre, Wexford Heights</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Highland Creek, Rouge Hill, Port Union</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ionview, Kennedy Park</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryvale, Wexford</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morningside, West Hill</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rouge, Malvern</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarborough Village</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steeles West</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tam O'Shanter</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woburn</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Agincourt                                                               4   \n",
       "Agincourt North, Milliken                                               2   \n",
       "Birch Cliff                                                             4   \n",
       "Cedarbrae                                                               7   \n",
       "Clairlea, Golden Mile, Oakridge                                        10   \n",
       "Cliffcrest, Cliffside                                                   2   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...                      8   \n",
       "Highland Creek, Rouge Hill, Port Union                                  1   \n",
       "Ionview, Kennedy Park                                                   5   \n",
       "Maryvale, Wexford                                                       5   \n",
       "Morningside, West Hill                                                  6   \n",
       "Rouge, Malvern                                                          1   \n",
       "Scarborough Village                                                     3   \n",
       "Steeles West                                                           14   \n",
       "Tam O'Shanter                                                          11   \n",
       "Woburn                                                                  3   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Agincourt                                                                4   \n",
       "Agincourt North, Milliken                                                2   \n",
       "Birch Cliff                                                              4   \n",
       "Cedarbrae                                                                7   \n",
       "Clairlea, Golden Mile, Oakridge                                         10   \n",
       "Cliffcrest, Cliffside                                                    2   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...                       8   \n",
       "Highland Creek, Rouge Hill, Port Union                                   1   \n",
       "Ionview, Kennedy Park                                                    5   \n",
       "Maryvale, Wexford                                                        5   \n",
       "Morningside, West Hill                                                   6   \n",
       "Rouge, Malvern                                                           1   \n",
       "Scarborough Village                                                      3   \n",
       "Steeles West                                                            14   \n",
       "Tam O'Shanter                                                           11   \n",
       "Woburn                                                                   3   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Agincourt                                               4               4   \n",
       "Agincourt North, Milliken                               2               2   \n",
       "Birch Cliff                                             4               4   \n",
       "Cedarbrae                                               7               7   \n",
       "Clairlea, Golden Mile, Oakridge                        10              10   \n",
       "Cliffcrest, Cliffside                                   2               2   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...      8               8   \n",
       "Highland Creek, Rouge Hill, Port Union                  1               1   \n",
       "Ionview, Kennedy Park                                   5               5   \n",
       "Maryvale, Wexford                                       5               5   \n",
       "Morningside, West Hill                                  6               6   \n",
       "Rouge, Malvern                                          1               1   \n",
       "Scarborough Village                                     3               3   \n",
       "Steeles West                                           14              14   \n",
       "Tam O'Shanter                                          11              11   \n",
       "Woburn                                                  3               3   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Agincourt                                                         4   \n",
       "Agincourt North, Milliken                                         2   \n",
       "Birch Cliff                                                       4   \n",
       "Cedarbrae                                                         7   \n",
       "Clairlea, Golden Mile, Oakridge                                  10   \n",
       "Cliffcrest, Cliffside                                             2   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...                8   \n",
       "Highland Creek, Rouge Hill, Port Union                            1   \n",
       "Ionview, Kennedy Park                                             5   \n",
       "Maryvale, Wexford                                                 5   \n",
       "Morningside, West Hill                                            6   \n",
       "Rouge, Malvern                                                    1   \n",
       "Scarborough Village                                               3   \n",
       "Steeles West                                                     14   \n",
       "Tam O'Shanter                                                    11   \n",
       "Woburn                                                            3   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Agincourt                                                        4  \n",
       "Agincourt North, Milliken                                        2  \n",
       "Birch Cliff                                                      4  \n",
       "Cedarbrae                                                        7  \n",
       "Clairlea, Golden Mile, Oakridge                                 10  \n",
       "Cliffcrest, Cliffside                                            2  \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...               8  \n",
       "Highland Creek, Rouge Hill, Port Union                           1  \n",
       "Ionview, Kennedy Park                                            5  \n",
       "Maryvale, Wexford                                                5  \n",
       "Morningside, West Hill                                           6  \n",
       "Rouge, Malvern                                                   1  \n",
       "Scarborough Village                                              3  \n",
       "Steeles West                                                    14  \n",
       "Tam O'Shanter                                                   11  \n",
       "Woburn                                                           3  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarborough_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 56 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(scarborough_venues['Venue Category'].unique())))"
   ]
  },
  {
   "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",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Garage</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Station</th>\n",
       "      <th>Café</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Stadium</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Hakka Restaurant</th>\n",
       "      <th>Hobby Shop</th>\n",
       "      <th>Hookah Bar</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Intersection</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Medical Center</th>\n",
       "      <th>Metro Station</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Motel</th>\n",
       "      <th>Moving Target</th>\n",
       "      <th>Nail Salon</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Park</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Print Shop</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Soccer Field</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  American Restaurant  Athletics & Sports  Auto Garage  \\\n",
       "0  Steeles West                    0                   0            0   \n",
       "1  Steeles West                    0                   0            0   \n",
       "2  Steeles West                    0                   0            0   \n",
       "3  Steeles West                    0                   0            0   \n",
       "4  Steeles West                    0                   0            0   \n",
       "\n",
       "   BBQ Joint  Bakery  Bank  Bar  Breakfast Spot  Brewery  Bus Line  \\\n",
       "0          0       0     0    0               0        0         0   \n",
       "1          0       0     0    0               0        0         0   \n",
       "2          0       0     0    0               0        0         0   \n",
       "3          0       0     0    0               0        0         0   \n",
       "4          0       0     0    0               0        0         0   \n",
       "\n",
       "   Bus Station  Café  Caribbean Restaurant  Chinese Restaurant  Coffee Shop  \\\n",
       "0            0     0                     0                   1            0   \n",
       "1            0     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",
       "   College Stadium  Convenience Store  Cosmetics Shop  Department Store  \\\n",
       "0                0                  0               0                 0   \n",
       "1                0                  0               0                 0   \n",
       "2                0                  0               0                 0   \n",
       "3                0                  0               0                 0   \n",
       "4                0                  0               0                 0   \n",
       "\n",
       "   Discount Store  Electronics Store  Fast Food Restaurant  Fish & Chips Shop  \\\n",
       "0               0                  0                     0                  0   \n",
       "1               0                  0                     0                  0   \n",
       "2               0                  0                     0                  0   \n",
       "3               0                  0                     0                  0   \n",
       "4               0                  0                     0                  0   \n",
       "\n",
       "   Fried Chicken Joint  Furniture / Home Store  General Entertainment  \\\n",
       "0                    0                       0                      0   \n",
       "1                    0                       0                      0   \n",
       "2                    0                       0                      0   \n",
       "3                    0                       0                      0   \n",
       "4                    0                       0                      0   \n",
       "\n",
       "   Grocery Store  Hakka Restaurant  Hobby Shop  Hookah Bar  Ice Cream Shop  \\\n",
       "0              0                 0           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",
       "   Indian Restaurant  Intersection  Italian Restaurant  Japanese Restaurant  \\\n",
       "0                  0             0                   0                    0   \n",
       "1                  0             0                   0                    0   \n",
       "2                  0             0                   0                    0   \n",
       "3                  0             0                   0                    0   \n",
       "4                  0             0                   0                    0   \n",
       "\n",
       "   Korean Restaurant  Latin American Restaurant  Lounge  Medical Center  \\\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",
       "   Metro Station  Mexican Restaurant  Motel  Moving Target  Nail Salon  \\\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",
       "   Noodle House  Park  Pet Store  Pharmacy  Pizza Place  Playground  \\\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         1            0           0   \n",
       "\n",
       "   Print Shop  Rental Car Location  Sandwich Place  Shopping Mall  \\\n",
       "0           0                    0               0              0   \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",
       "   Skating Rink  Soccer Field  Thai Restaurant  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",
       "   Vietnamese Restaurant  \n",
       "0                      0  \n",
       "1                      0  \n",
       "2                      0  \n",
       "3                      0  \n",
       "4                      0  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "scarb_onehot = pd.get_dummies(scarborough_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "scarb_onehot['Neighborhood'] = scarborough_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [scarb_onehot.columns[-1]] + list(scarb_onehot.columns[:-1])\n",
    "scarb_onehot = scarb_onehot[fixed_columns]\n",
    "\n",
    "scarb_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(89, 60)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_onehot.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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",
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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>American Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Garage</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Station</th>\n",
       "      <th>Café</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Stadium</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Hakka Restaurant</th>\n",
       "      <th>Hobby Shop</th>\n",
       "      <th>Hookah Bar</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Intersection</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Medical Center</th>\n",
       "      <th>Metro Station</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Motel</th>\n",
       "      <th>Moving Target</th>\n",
       "      <th>Nail Salon</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Park</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Print Shop</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Soccer Field</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agincourt North, Milliken</td>\n",
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       "      <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>0.0</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>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Birch Cliff</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>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</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>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</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>0.0</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>0.000000</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>0.000000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</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>0.00</td>\n",
       "      <td>0.142857</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.142857</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>0.0</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>0.000000</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>0.000000</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.111111</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>0.0</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>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</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>0.111111</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>0.111111</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cliffcrest, Cliffside</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</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>0.0</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>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</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>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.333333</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</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>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</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>0.0</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</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>0.000000</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.111111</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.111111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood  American Restaurant  \\\n",
       "0                                          Agincourt             0.000000   \n",
       "1                          Agincourt North, Milliken             0.000000   \n",
       "2                                        Birch Cliff             0.000000   \n",
       "3                                          Cedarbrae             0.000000   \n",
       "4                    Clairlea, Golden Mile, Oakridge             0.000000   \n",
       "5                              Cliffcrest, Cliffside             0.333333   \n",
       "6  Dorset Park, Scarborough Town Centre, Wexford ...             0.000000   \n",
       "\n",
       "   Athletics & Sports  Auto Garage  BBQ Joint    Bakery      Bank  Bar  \\\n",
       "0            0.000000          0.0        0.0  0.000000  0.000000  0.0   \n",
       "1            0.000000          0.0        0.0  0.000000  0.000000  0.0   \n",
       "2            0.000000          0.0        0.0  0.000000  0.000000  0.0   \n",
       "3            0.142857          0.0        0.0  0.142857  0.142857  0.0   \n",
       "4            0.000000          0.0        0.0  0.111111  0.000000  0.0   \n",
       "5            0.000000          0.0        0.0  0.000000  0.000000  0.0   \n",
       "6            0.000000          0.0        0.0  0.000000  0.000000  0.0   \n",
       "\n",
       "   Breakfast Spot   Brewery  Bus Line  Bus Station  Café  \\\n",
       "0            0.25  0.000000  0.000000     0.000000  0.00   \n",
       "1            0.00  0.000000  0.000000     0.000000  0.00   \n",
       "2            0.00  0.000000  0.000000     0.000000  0.25   \n",
       "3            0.00  0.000000  0.000000     0.000000  0.00   \n",
       "4            0.00  0.000000  0.222222     0.111111  0.00   \n",
       "5            0.00  0.000000  0.000000     0.000000  0.00   \n",
       "6            0.00  0.111111  0.000000     0.000000  0.00   \n",
       "\n",
       "   Caribbean Restaurant  Chinese Restaurant  Coffee Shop  College Stadium  \\\n",
       "0              0.000000            0.000000          0.0             0.00   \n",
       "1              0.000000            0.000000          0.0             0.00   \n",
       "2              0.000000            0.000000          0.0             0.25   \n",
       "3              0.142857            0.000000          0.0             0.00   \n",
       "4              0.000000            0.000000          0.0             0.00   \n",
       "5              0.000000            0.000000          0.0             0.00   \n",
       "6              0.000000            0.111111          0.0             0.00   \n",
       "\n",
       "   Convenience Store  Cosmetics Shop  Department Store  Discount Store  \\\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",
       "5                0.0             0.0               0.0             0.0   \n",
       "6                0.0             0.0               0.0             0.0   \n",
       "\n",
       "   Electronics Store  Fast Food Restaurant  Fish & Chips Shop  \\\n",
       "0                0.0                   0.0           0.000000   \n",
       "1                0.0                   0.0           0.000000   \n",
       "2                0.0                   0.0           0.000000   \n",
       "3                0.0                   0.0           0.000000   \n",
       "4                0.0                   0.0           0.000000   \n",
       "5                0.0                   0.0           0.000000   \n",
       "6                0.0                   0.0           0.111111   \n",
       "\n",
       "   Fried Chicken Joint  Furniture / Home Store  General Entertainment  \\\n",
       "0             0.000000                0.000000                   0.00   \n",
       "1             0.000000                0.000000                   0.00   \n",
       "2             0.000000                0.000000                   0.25   \n",
       "3             0.142857                0.000000                   0.00   \n",
       "4             0.000000                0.000000                   0.00   \n",
       "5             0.000000                0.000000                   0.00   \n",
       "6             0.000000                0.111111                   0.00   \n",
       "\n",
       "   Grocery Store  Hakka Restaurant  Hobby Shop  Hookah Bar  Ice Cream Shop  \\\n",
       "0            0.0          0.000000         0.0         0.0        0.000000   \n",
       "1            0.0          0.000000         0.0         0.0        0.000000   \n",
       "2            0.0          0.000000         0.0         0.0        0.000000   \n",
       "3            0.0          0.142857         0.0         0.0        0.000000   \n",
       "4            0.0          0.000000         0.0         0.0        0.111111   \n",
       "5            0.0          0.000000         0.0         0.0        0.000000   \n",
       "6            0.0          0.000000         0.0         0.0        0.000000   \n",
       "\n",
       "   Indian Restaurant  Intersection  Italian Restaurant  Japanese Restaurant  \\\n",
       "0           0.000000      0.000000                 0.0                  0.0   \n",
       "1           0.000000      0.000000                 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      0.111111                 0.0                  0.0   \n",
       "5           0.000000      0.333333                 0.0                  0.0   \n",
       "6           0.222222      0.000000                 0.0                  0.0   \n",
       "\n",
       "   Korean Restaurant  Latin American Restaurant  Lounge  Medical Center  \\\n",
       "0                0.0                   0.000000    0.25             0.0   \n",
       "1                0.0                   0.000000    0.00             0.0   \n",
       "2                0.0                   0.000000    0.00             0.0   \n",
       "3                0.0                   0.000000    0.00             0.0   \n",
       "4                0.0                   0.000000    0.00             0.0   \n",
       "5                0.0                   0.000000    0.00             0.0   \n",
       "6                0.0                   0.111111    0.00             0.0   \n",
       "\n",
       "   Metro Station  Mexican Restaurant     Motel  Moving Target  Nail Salon  \\\n",
       "0       0.000000                 0.0  0.000000            0.0         0.0   \n",
       "1       0.000000                 0.0  0.000000            0.0         0.0   \n",
       "2       0.000000                 0.0  0.000000            0.0         0.0   \n",
       "3       0.000000                 0.0  0.000000            0.0         0.0   \n",
       "4       0.111111                 0.0  0.000000            0.0         0.0   \n",
       "5       0.000000                 0.0  0.333333            0.0         0.0   \n",
       "6       0.000000                 0.0  0.000000            0.0         0.0   \n",
       "\n",
       "   Noodle House      Park  Pet Store  Pharmacy  Pizza Place  Playground  \\\n",
       "0           0.0  0.000000   0.000000       0.0          0.0         0.0   \n",
       "1           0.0  0.500000   0.000000       0.0          0.0         0.5   \n",
       "2           0.0  0.000000   0.000000       0.0          0.0         0.0   \n",
       "3           0.0  0.000000   0.000000       0.0          0.0         0.0   \n",
       "4           0.0  0.111111   0.000000       0.0          0.0         0.0   \n",
       "5           0.0  0.000000   0.000000       0.0          0.0         0.0   \n",
       "6           0.0  0.000000   0.111111       0.0          0.0         0.0   \n",
       "\n",
       "   Print Shop  Rental Car Location  Sandwich Place  Shopping Mall  \\\n",
       "0        0.25                  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        0.00                  0.0             0.0            0.0   \n",
       "4        0.00                  0.0             0.0            0.0   \n",
       "5        0.00                  0.0             0.0            0.0   \n",
       "6        0.00                  0.0             0.0            0.0   \n",
       "\n",
       "   Skating Rink  Soccer Field  Thai Restaurant  Train Station  \\\n",
       "0          0.25      0.000000         0.000000            0.0   \n",
       "1          0.00      0.000000         0.000000            0.0   \n",
       "2          0.25      0.000000         0.000000            0.0   \n",
       "3          0.00      0.000000         0.142857            0.0   \n",
       "4          0.00      0.111111         0.000000            0.0   \n",
       "5          0.00      0.000000         0.000000            0.0   \n",
       "6          0.00      0.000000         0.000000            0.0   \n",
       "\n",
       "   Vietnamese Restaurant  \n",
       "0               0.000000  \n",
       "1               0.000000  \n",
       "2               0.000000  \n",
       "3               0.000000  \n",
       "4               0.000000  \n",
       "5               0.000000  \n",
       "6               0.111111  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_grouped = scarb_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "scarb_grouped.head(7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get top 10 venues per neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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": 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>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agincourt North, Milliken</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Birch Cliff</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Café</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Park</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cliffcrest, Cliffside</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Motel</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ionview, Kennedy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Morningside, West Hill</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Steeles West</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Tam O'Shanter</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Rental Car Location</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Woburn</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  1st Most Common Venue  \\\n",
       "0                                           Agincourt           Skating Rink   \n",
       "1                           Agincourt North, Milliken                   Park   \n",
       "2                                         Birch Cliff  General Entertainment   \n",
       "3                                           Cedarbrae       Hakka Restaurant   \n",
       "4                     Clairlea, Golden Mile, Oakridge                 Bakery   \n",
       "5                               Cliffcrest, Cliffside    American Restaurant   \n",
       "6   Dorset Park, Scarborough Town Centre, Wexford ...      Indian Restaurant   \n",
       "7              Highland Creek, Rouge Hill, Port Union                    Bar   \n",
       "8                               Ionview, Kennedy Park            Coffee Shop   \n",
       "9                                   Maryvale, Wexford         Sandwich Place   \n",
       "10                             Morningside, West Hill              BBQ Joint   \n",
       "11                                     Rouge, Malvern   Fast Food Restaurant   \n",
       "12                                Scarborough Village             Playground   \n",
       "13                                       Steeles West     Chinese Restaurant   \n",
       "14                                      Tam O'Shanter            Pizza Place   \n",
       "15                                             Woburn            Coffee Shop   \n",
       "\n",
       "         2nd Most Common Venue    3rd Most Common Venue  \\\n",
       "0               Breakfast Spot                   Lounge   \n",
       "1                   Playground       Chinese Restaurant   \n",
       "2                 Skating Rink                     Café   \n",
       "3           Athletics & Sports          Thai Restaurant   \n",
       "4                     Bus Line           Ice Cream Shop   \n",
       "5                        Motel  Health & Beauty Service   \n",
       "6        Vietnamese Restaurant                Pet Store   \n",
       "7        Vietnamese Restaurant              Coffee Shop   \n",
       "8               Discount Store         Department Store   \n",
       "9                  Auto Garage               Smoke Shop   \n",
       "10           Electronics Store           Breakfast Spot   \n",
       "11       Vietnamese Restaurant            Train Station   \n",
       "12  Construction & Landscaping  Health & Beauty Service   \n",
       "13                 Coffee Shop     Fast Food Restaurant   \n",
       "14                Noodle House                 Pharmacy   \n",
       "15           Korean Restaurant    Vietnamese Restaurant   \n",
       "\n",
       "        4th Most Common Venue  5th Most Common Venue  6th Most Common Venue  \\\n",
       "0              Clothing Store  Vietnamese Restaurant            Coffee Shop   \n",
       "1               Grocery Store  General Entertainment    Fried Chicken Joint   \n",
       "2             College Stadium  Vietnamese Restaurant         Clothing Store   \n",
       "3                      Bakery                   Bank    Fried Chicken Joint   \n",
       "4                 Bus Station                   Park           Soccer Field   \n",
       "5               Grocery Store  General Entertainment    Fried Chicken Joint   \n",
       "6   Latin American Restaurant     Light Rail Station     Chinese Restaurant   \n",
       "7            Hakka Restaurant          Grocery Store  General Entertainment   \n",
       "8          Chinese Restaurant          Train Station  Vietnamese Restaurant   \n",
       "9               Shopping Mall         Breakfast Spot         Discount Store   \n",
       "10        Rental Car Location         Medical Center     Mexican Restaurant   \n",
       "11           Hakka Restaurant          Grocery Store  General Entertainment   \n",
       "12      Vietnamese Restaurant         Clothing Store          Grocery Store   \n",
       "13             Cosmetics Shop               Pharmacy            Pizza Place   \n",
       "14        Fried Chicken Joint        Thai Restaurant   Fast Food Restaurant   \n",
       "15    Health & Beauty Service          Grocery Store  General Entertainment   \n",
       "\n",
       "     7th Most Common Venue       8th Most Common Venue  \\\n",
       "0            Grocery Store       General Entertainment   \n",
       "1     Fast Food Restaurant           Electronics Store   \n",
       "2            Grocery Store         Fried Chicken Joint   \n",
       "3     Caribbean Restaurant             College Stadium   \n",
       "4             Intersection               Metro Station   \n",
       "5     Fast Food Restaurant           Electronics Store   \n",
       "6   Thrift / Vintage Store                      Bakery   \n",
       "7      Fried Chicken Joint        Fast Food Restaurant   \n",
       "8         Hakka Restaurant               Grocery Store   \n",
       "9          College Stadium  Construction & Landscaping   \n",
       "10   Vietnamese Restaurant                 Coffee Shop   \n",
       "11     Fried Chicken Joint           Electronics Store   \n",
       "12   General Entertainment         Fried Chicken Joint   \n",
       "13          Breakfast Spot               Grocery Store   \n",
       "14             Coffee Shop          Italian Restaurant   \n",
       "15     Fried Chicken Joint        Fast Food Restaurant   \n",
       "\n",
       "         9th Most Common Venue 10th Most Common Venue  \n",
       "0          Fried Chicken Joint   Fast Food Restaurant  \n",
       "1               Discount Store       Department Store  \n",
       "2         Fast Food Restaurant      Electronics Store  \n",
       "3                Grocery Store  General Entertainment  \n",
       "4   Construction & Landscaping         Cosmetics Shop  \n",
       "5               Discount Store       Department Store  \n",
       "6                         Bank    Fried Chicken Joint  \n",
       "7            Electronics Store         Discount Store  \n",
       "8        General Entertainment    Fried Chicken Joint  \n",
       "9               Cosmetics Shop       Department Store  \n",
       "10       General Entertainment    Fried Chicken Joint  \n",
       "11              Discount Store       Department Store  \n",
       "12        Fast Food Restaurant      Electronics Store  \n",
       "13         Japanese Restaurant      Electronics Store  \n",
       "14          Chinese Restaurant    Rental Car Location  \n",
       "15           Electronics Store         Discount Store  "
      ]
     },
     "execution_count": 44,
     "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'] = scarb_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(scarb_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(scarb_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run k-means to cluster the neighborhoods into 5 clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 4, 0, 0, 0, 0, 0, 3, 0, 0])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "scarb_data = scarborough_data.drop(16)\n",
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "scarb_grouped_clustering = scarb_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(scarb_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] \n",
    "#len(kmeans.labels_)#=16\n",
    "#scarborough_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Include kmeans.labels_ into the original Scarborough dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>Unnamed: 0</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>M1W</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Steeles West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>0</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>4</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff</td>\n",
       "      <td>43.692657</td>\n",
       "      <td>-79.264848</td>\n",
       "      <td>0</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Café</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>31</td>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "      <td>43.750072</td>\n",
       "      <td>-79.295849</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>34</td>\n",
       "      <td>M1V</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt North, Milliken</td>\n",
       "      <td>43.815252</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>36</td>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>3</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>41</td>\n",
       "      <td>M1T</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Tam O'Shanter</td>\n",
       "      <td>43.781638</td>\n",
       "      <td>-79.304302</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Rental Car Location</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>49</td>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffcrest, Cliffside</td>\n",
       "      <td>43.716316</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>0</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Motel</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>54</td>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>0</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>61</td>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>2</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>64</td>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "      <td>43.794200</td>\n",
       "      <td>-79.262029</td>\n",
       "      <td>4</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>67</td>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Ionview, Kennedy Park</td>\n",
       "      <td>43.727929</td>\n",
       "      <td>-79.262029</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>70</td>\n",
       "      <td>M1P</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n",
       "      <td>43.757410</td>\n",
       "      <td>-79.273304</td>\n",
       "      <td>0</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>71</td>\n",
       "      <td>M1X</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Upper Rouge</td>\n",
       "      <td>43.836125</td>\n",
       "      <td>-79.205636</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0 Postcode      Borough  \\\n",
       "0            3      M1W  Scarborough   \n",
       "1            4      M1J  Scarborough   \n",
       "2            6      M1G  Scarborough   \n",
       "3           10      M1C  Scarborough   \n",
       "4           16      M1N  Scarborough   \n",
       "5           31      M1R  Scarborough   \n",
       "6           34      M1V  Scarborough   \n",
       "7           36      M1H  Scarborough   \n",
       "8           41      M1T  Scarborough   \n",
       "9           49      M1M  Scarborough   \n",
       "10          54      M1E  Scarborough   \n",
       "11          61      M1B  Scarborough   \n",
       "12          64      M1S  Scarborough   \n",
       "13          67      M1K  Scarborough   \n",
       "14          70      M1P  Scarborough   \n",
       "15          71      M1X  Scarborough   \n",
       "\n",
       "                                        Neighbourhood   Latitude  Longitude  \\\n",
       "0                                        Steeles West  43.799525 -79.318389   \n",
       "1                                 Scarborough Village  43.744734 -79.239476   \n",
       "2                                              Woburn  43.770992 -79.216917   \n",
       "3              Highland Creek, Rouge Hill, Port Union  43.784535 -79.160497   \n",
       "4                                         Birch Cliff  43.692657 -79.264848   \n",
       "5                                   Maryvale, Wexford  43.750072 -79.295849   \n",
       "6                           Agincourt North, Milliken  43.815252 -79.284577   \n",
       "7                                           Cedarbrae  43.773136 -79.239476   \n",
       "8                                       Tam O'Shanter  43.781638 -79.304302   \n",
       "9                               Cliffcrest, Cliffside  43.716316 -79.239476   \n",
       "10                             Morningside, West Hill  43.763573 -79.188711   \n",
       "11                                     Rouge, Malvern  43.806686 -79.194353   \n",
       "12                                          Agincourt  43.794200 -79.262029   \n",
       "13                              Ionview, Kennedy Park  43.727929 -79.262029   \n",
       "14  Dorset Park, Scarborough Town Centre, Wexford ...  43.757410 -79.273304   \n",
       "15                                        Upper Rouge  43.836125 -79.205636   \n",
       "\n",
       "    Cluster Labels  1st Most Common Venue       2nd Most Common Venue  \\\n",
       "0                0     Chinese Restaurant                 Coffee Shop   \n",
       "1                4             Playground  Construction & Landscaping   \n",
       "2                0            Coffee Shop           Korean Restaurant   \n",
       "3                0                    Bar       Vietnamese Restaurant   \n",
       "4                0  General Entertainment                Skating Rink   \n",
       "5                0         Sandwich Place                 Auto Garage   \n",
       "6                0                   Park                  Playground   \n",
       "7                3       Hakka Restaurant          Athletics & Sports   \n",
       "8                0            Pizza Place                Noodle House   \n",
       "9                0    American Restaurant                       Motel   \n",
       "10               0              BBQ Joint           Electronics Store   \n",
       "11               2   Fast Food Restaurant       Vietnamese Restaurant   \n",
       "12               4           Skating Rink              Breakfast Spot   \n",
       "13               0            Coffee Shop              Discount Store   \n",
       "14               0      Indian Restaurant       Vietnamese Restaurant   \n",
       "15               1                    NaN                         NaN   \n",
       "\n",
       "      3rd Most Common Venue      4th Most Common Venue  5th Most Common Venue  \\\n",
       "0      Fast Food Restaurant             Cosmetics Shop               Pharmacy   \n",
       "1   Health & Beauty Service      Vietnamese Restaurant         Clothing Store   \n",
       "2     Vietnamese Restaurant    Health & Beauty Service          Grocery Store   \n",
       "3               Coffee Shop           Hakka Restaurant          Grocery Store   \n",
       "4                      Café            College Stadium  Vietnamese Restaurant   \n",
       "5                Smoke Shop              Shopping Mall         Breakfast Spot   \n",
       "6        Chinese Restaurant              Grocery Store  General Entertainment   \n",
       "7           Thai Restaurant                     Bakery                   Bank   \n",
       "8                  Pharmacy        Fried Chicken Joint        Thai Restaurant   \n",
       "9   Health & Beauty Service              Grocery Store  General Entertainment   \n",
       "10           Breakfast Spot        Rental Car Location         Medical Center   \n",
       "11            Train Station           Hakka Restaurant          Grocery Store   \n",
       "12                   Lounge             Clothing Store  Vietnamese Restaurant   \n",
       "13         Department Store         Chinese Restaurant          Train Station   \n",
       "14                Pet Store  Latin American Restaurant     Light Rail Station   \n",
       "15                      NaN                        NaN                    NaN   \n",
       "\n",
       "    6th Most Common Venue   7th Most Common Venue       8th Most Common Venue  \\\n",
       "0             Pizza Place          Breakfast Spot               Grocery Store   \n",
       "1           Grocery Store   General Entertainment         Fried Chicken Joint   \n",
       "2   General Entertainment     Fried Chicken Joint        Fast Food Restaurant   \n",
       "3   General Entertainment     Fried Chicken Joint        Fast Food Restaurant   \n",
       "4          Clothing Store           Grocery Store         Fried Chicken Joint   \n",
       "5          Discount Store         College Stadium  Construction & Landscaping   \n",
       "6     Fried Chicken Joint    Fast Food Restaurant           Electronics Store   \n",
       "7     Fried Chicken Joint    Caribbean Restaurant             College Stadium   \n",
       "8    Fast Food Restaurant             Coffee Shop          Italian Restaurant   \n",
       "9     Fried Chicken Joint    Fast Food Restaurant           Electronics Store   \n",
       "10     Mexican Restaurant   Vietnamese Restaurant                 Coffee Shop   \n",
       "11  General Entertainment     Fried Chicken Joint           Electronics Store   \n",
       "12            Coffee Shop           Grocery Store       General Entertainment   \n",
       "13  Vietnamese Restaurant        Hakka Restaurant               Grocery Store   \n",
       "14     Chinese Restaurant  Thrift / Vintage Store                      Bakery   \n",
       "15                    NaN                     NaN                         NaN   \n",
       "\n",
       "    9th Most Common Venue 10th Most Common Venue  \n",
       "0     Japanese Restaurant      Electronics Store  \n",
       "1    Fast Food Restaurant      Electronics Store  \n",
       "2       Electronics Store         Discount Store  \n",
       "3       Electronics Store         Discount Store  \n",
       "4    Fast Food Restaurant      Electronics Store  \n",
       "5          Cosmetics Shop       Department Store  \n",
       "6          Discount Store       Department Store  \n",
       "7           Grocery Store  General Entertainment  \n",
       "8      Chinese Restaurant    Rental Car Location  \n",
       "9          Discount Store       Department Store  \n",
       "10  General Entertainment    Fried Chicken Joint  \n",
       "11         Discount Store       Department Store  \n",
       "12    Fried Chicken Joint   Fast Food Restaurant  \n",
       "13  General Entertainment    Fried Chicken Joint  \n",
       "14                   Bank    Fried Chicken Joint  \n",
       "15                    NaN                    NaN  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_merged = scarb_data\n",
    "\n",
    "# add clustering labels\n",
    "scarb_merged['Cluster Labels'] = kmeans.labels_\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "scarb_merged = scarb_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighbourhood')\n",
    "\n",
    "scarb_merged"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize the clusters in the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x11607f400>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# create map\n",
    "map_clusters = folium.Map(location = [latitude_scar, longitude_scar], 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(scarb_merged['Latitude'], scarb_merged['Longitude'], scarb_merged['Neighbourhood'], scarb_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": [
    "### Examine each of the five clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1W</td>\n",
       "      <td>-79.318389</td>\n",
       "      <td>0</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1G</td>\n",
       "      <td>-79.216917</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1C</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1N</td>\n",
       "      <td>-79.264848</td>\n",
       "      <td>0</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Café</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1R</td>\n",
       "      <td>-79.295849</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1V</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1T</td>\n",
       "      <td>-79.304302</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Rental Car Location</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1M</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>0</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Motel</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M1E</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>0</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M1K</td>\n",
       "      <td>-79.262029</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M1P</td>\n",
       "      <td>-79.273304</td>\n",
       "      <td>0</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode  Longitude  Cluster Labels  1st Most Common Venue  \\\n",
       "0       M1W -79.318389               0     Chinese Restaurant   \n",
       "2       M1G -79.216917               0            Coffee Shop   \n",
       "3       M1C -79.160497               0                    Bar   \n",
       "4       M1N -79.264848               0  General Entertainment   \n",
       "5       M1R -79.295849               0         Sandwich Place   \n",
       "6       M1V -79.284577               0                   Park   \n",
       "8       M1T -79.304302               0            Pizza Place   \n",
       "9       M1M -79.239476               0    American Restaurant   \n",
       "10      M1E -79.188711               0              BBQ Joint   \n",
       "13      M1K -79.262029               0            Coffee Shop   \n",
       "14      M1P -79.273304               0      Indian Restaurant   \n",
       "\n",
       "    2nd Most Common Venue    3rd Most Common Venue      4th Most Common Venue  \\\n",
       "0             Coffee Shop     Fast Food Restaurant             Cosmetics Shop   \n",
       "2       Korean Restaurant    Vietnamese Restaurant    Health & Beauty Service   \n",
       "3   Vietnamese Restaurant              Coffee Shop           Hakka Restaurant   \n",
       "4            Skating Rink                     Café            College Stadium   \n",
       "5             Auto Garage               Smoke Shop              Shopping Mall   \n",
       "6              Playground       Chinese Restaurant              Grocery Store   \n",
       "8            Noodle House                 Pharmacy        Fried Chicken Joint   \n",
       "9                   Motel  Health & Beauty Service              Grocery Store   \n",
       "10      Electronics Store           Breakfast Spot        Rental Car Location   \n",
       "13         Discount Store         Department Store         Chinese Restaurant   \n",
       "14  Vietnamese Restaurant                Pet Store  Latin American Restaurant   \n",
       "\n",
       "    5th Most Common Venue  6th Most Common Venue   7th Most Common Venue  \\\n",
       "0                Pharmacy            Pizza Place          Breakfast Spot   \n",
       "2           Grocery Store  General Entertainment     Fried Chicken Joint   \n",
       "3           Grocery Store  General Entertainment     Fried Chicken Joint   \n",
       "4   Vietnamese Restaurant         Clothing Store           Grocery Store   \n",
       "5          Breakfast Spot         Discount Store         College Stadium   \n",
       "6   General Entertainment    Fried Chicken Joint    Fast Food Restaurant   \n",
       "8         Thai Restaurant   Fast Food Restaurant             Coffee Shop   \n",
       "9   General Entertainment    Fried Chicken Joint    Fast Food Restaurant   \n",
       "10         Medical Center     Mexican Restaurant   Vietnamese Restaurant   \n",
       "13          Train Station  Vietnamese Restaurant        Hakka Restaurant   \n",
       "14     Light Rail Station     Chinese Restaurant  Thrift / Vintage Store   \n",
       "\n",
       "         8th Most Common Venue  9th Most Common Venue 10th Most Common Venue  \n",
       "0                Grocery Store    Japanese Restaurant      Electronics Store  \n",
       "2         Fast Food Restaurant      Electronics Store         Discount Store  \n",
       "3         Fast Food Restaurant      Electronics Store         Discount Store  \n",
       "4          Fried Chicken Joint   Fast Food Restaurant      Electronics Store  \n",
       "5   Construction & Landscaping         Cosmetics Shop       Department Store  \n",
       "6            Electronics Store         Discount Store       Department Store  \n",
       "8           Italian Restaurant     Chinese Restaurant    Rental Car Location  \n",
       "9            Electronics Store         Discount Store       Department Store  \n",
       "10                 Coffee Shop  General Entertainment    Fried Chicken Joint  \n",
       "13               Grocery Store  General Entertainment    Fried Chicken Joint  \n",
       "14                      Bakery                   Bank    Fried Chicken Joint  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_merged.loc[scarb_merged['Cluster Labels'] == 0, scarb_merged.columns[[1] + list(range(5, scarb_merged.shape[1]))]]"
   ]
  },
  {
   "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>Postcode</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M1X</td>\n",
       "      <td>-79.205636</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "15      M1X -79.205636               1                   NaN   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "15                   NaN                   NaN                   NaN   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "15                   NaN                   NaN                   NaN   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "15                   NaN                   NaN                    NaN  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_merged.loc[scarb_merged['Cluster Labels'] == 1, scarb_merged.columns[[1] + list(range(5, scarb_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M1B</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>2</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "11      M1B -79.194353               2  Fast Food Restaurant   \n",
       "\n",
       "    2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "11  Vietnamese Restaurant         Train Station      Hakka Restaurant   \n",
       "\n",
       "   5th Most Common Venue  6th Most Common Venue 7th Most Common Venue  \\\n",
       "11         Grocery Store  General Entertainment   Fried Chicken Joint   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "11     Electronics Store        Discount Store       Department Store  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_merged.loc[scarb_merged['Cluster Labels'] == 2, scarb_merged.columns[[1] + list(range(5, scarb_merged.shape[1]))]]    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1H</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>3</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "7      M1H -79.239476               3      Hakka Restaurant   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "7    Athletics & Sports       Thai Restaurant                Bakery   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "7                  Bank   Fried Chicken Joint  Caribbean Restaurant   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "7       College Stadium         Grocery Store  General Entertainment  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_merged.loc[scarb_merged['Cluster Labels'] == 3, scarb_merged.columns[[1] + list(range(5, scarb_merged.shape[1]))]]"
   ]
  },
  {
   "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",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\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>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1J</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>4</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M1S</td>\n",
       "      <td>-79.262029</td>\n",
       "      <td>4</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "1       M1J -79.239476               4            Playground   \n",
       "12      M1S -79.262029               4          Skating Rink   \n",
       "\n",
       "         2nd Most Common Venue    3rd Most Common Venue  \\\n",
       "1   Construction & Landscaping  Health & Beauty Service   \n",
       "12              Breakfast Spot                   Lounge   \n",
       "\n",
       "    4th Most Common Venue  5th Most Common Venue 6th Most Common Venue  \\\n",
       "1   Vietnamese Restaurant         Clothing Store         Grocery Store   \n",
       "12         Clothing Store  Vietnamese Restaurant           Coffee Shop   \n",
       "\n",
       "    7th Most Common Venue  8th Most Common Venue 9th Most Common Venue  \\\n",
       "1   General Entertainment    Fried Chicken Joint  Fast Food Restaurant   \n",
       "12          Grocery Store  General Entertainment   Fried Chicken Joint   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "1       Electronics Store  \n",
       "12   Fast Food Restaurant  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scarb_merged.loc[scarb_merged['Cluster Labels'] == 4, scarb_merged.columns[[1] + list(range(5, scarb_merged.shape[1]))]]"
   ]
  }
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