Week 3 Assignment 1.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Week 3 Assignment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get data from wikipedia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "url='https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "r = requests.get(url)\n",
    "soup = BeautifulSoup(r.content, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode       Borough       Neighbourhood\n",
       "0     None          None                None\n",
       "1      M1A  Not assigned      Not assigned\\n\n",
       "2      M2A  Not assigned      Not assigned\\n\n",
       "3      M3A    North York         Parkwoods\\n\n",
       "4      M4A    North York  Victoria Village\\n"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table = soup.find('table',{'class':'wikitable sortable'})\n",
    "table_rows = table.find_all('tr')\n",
    "l = []\n",
    "for tr in table_rows:\n",
    "    td = tr.find_all('td')\n",
    "    row = [tr.text for tr in td]\n",
    "    l.append(row)\n",
    "df=pd.DataFrame(l, columns=[\"Postcode\", \"Borough\", \"Neighbourhood\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "clear data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(211, 3)"
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop( 0, inplace=True) # delete None row\n",
    "df.drop( df[df['Borough'] == 'Not assigned'].index, inplace=True)\n",
    "df = df.apply(lambda x: x.str.strip(\"\\n\"))  # delete \\n\n",
    "df.loc[df['Neighbourhood']=='Not assigned', ['Neighbourhood']] =df.loc[df[df['Neighbourhood'] == 'Not assigned'].index,\"Borough\"]\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "        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>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "  Postcode           Borough     Neighbourhood\n",
       "3      M3A        North York         Parkwoods\n",
       "4      M4A        North York  Victoria Village\n",
       "5      M5A  Downtown Toronto      Harbourfront\n",
       "6      M5A  Downtown Toronto       Regent Park\n",
       "7      M6A        North York  Lawrence Heights"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">M1B</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Scarborough</th>\n",
       "      <th>Malvern</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rouge</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">M1C</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">Scarborough</th>\n",
       "      <th>Highland Creek</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Port Union</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rouge Hill</th>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
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       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: [(M1B, Scarborough, Malvern), (M1B, Scarborough, Rouge), (M1C, Scarborough, Highland Creek), (M1C, Scarborough, Port Union), (M1C, Scarborough, Rouge Hill)]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_postcode=df.groupby(['Postcode','Borough','Neighbourhood']).count()\n",
    "group_postcode.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_post=df.groupby(['Postcode','Borough'],as_index=False).agg(lambda x : ','.join(x))\n",
    "df_post.head()\n",
    "df_post.to_csv('toronto_post.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_post.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "import geocoder # import geocoder\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "not working\n",
    "\n",
    "latitude=[]\n",
    "longitude=[]\n",
    "\n",
    "for postal_code in postal_data:\n",
    "    # initialize your variable to None\n",
    "    lat_lng_coords = None\n",
    "\n",
    "    # loop until you get the coordinates\n",
    "    while(lat_lng_coords is None):\n",
    "        g = geocoder.google('{}, Toronto, Ontario'.format(postal_code))\n",
    "        lat_lng_coords = g.latlng\n",
    "\n",
    "    latitude = latitude.append(lat_lng_coords[0])\n",
    "    longitude = longitude.append(lat_lng_coords[1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge,Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>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>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood,Morningside,West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode      Borough                         Neighbourhood   Latitude  \\\n",
       "0      M1B  Scarborough                         Rouge,Malvern  43.806686   \n",
       "1      M1C  Scarborough  Highland Creek,Rouge Hill,Port Union  43.784535   \n",
       "2      M1E  Scarborough       Guildwood,Morningside,West Hill  43.763573   \n",
       "3      M1G  Scarborough                                Woburn  43.770992   \n",
       "4      M1H  Scarborough                             Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.194353  \n",
       "1 -79.160497  \n",
       "2 -79.188711  \n",
       "3 -79.216917  \n",
       "4 -79.239476  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_csv= pd.read_csv('https://cocl.us/Geospatial_data')\n",
    "Toronto_data = pd.merge(df_post, df_csv,\n",
    "                    left_on='Postcode',right_on='Postal Code', \n",
    "                    how='left').drop('Postal Code', axis =1)\n",
    "Toronto_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 3 \n",
    "### Explore and cluster the neighborhoods in Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
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}
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}
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                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_3ec56088da3140c283c778cbf0d1771e = L.popup({maxWidth: '100%'
            
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                var html_906f9be422e0409a980594bc0848782d = $(`<div id="html_906f9be422e0409a980594bc0848782d" style="width: 100.0%; height: 100.0%;">Alderwood,Long Branch</div>`)[0];
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                {
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  "opacity": 1.0,
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  "stroke": true,
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}
                )
                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_4854e3452e8c44b785b805854f9c54ff = L.popup({maxWidth: '100%'
            
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}
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                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_90a39798f6f14cbea60e9308de22eaa5 = L.popup({maxWidth: '100%'
            
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                var html_afd8f01a413b48b6b7707d6cd95dda6e = $(`<div id="html_afd8f01a413b48b6b7707d6cd95dda6e" style="width: 100.0%; height: 100.0%;">Humber Bay,King&#39;s Mill Park,Kingsway Park South East,Mimico NE,Old Mill South,The Queensway East,Royal York South East,Sunnylea</div>`)[0];
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                var html_948b8b7609094fd0a04f96af939fb6ac = $(`<div id="html_948b8b7609094fd0a04f96af939fb6ac" style="width: 100.0%; height: 100.0%;">Kingsway Park South West,Mimico NW,The Queensway West,Royal York South West,South of Bloor</div>`)[0];
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}
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}
                )
                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_b81df4901d54484587cad89c723f8dd0 = L.popup({maxWidth: '100%'
            
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                var html_c1a4c9924ddd4c95abcd38276f3ccb9a = $(`<div id="html_c1a4c9924ddd4c95abcd38276f3ccb9a" style="width: 100.0%; height: 100.0%;">Cloverdale,Islington,Martin Grove,Princess Gardens,West Deane Park</div>`)[0];
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  "fill": true,
  "fillColor": "#3186cc",
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  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
                )
                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_bd14b9876c4247e5b7cef23fd866e848 = L.popup({maxWidth: '100%'
            
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}
                )
                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
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                var html_d197a2c727534113a63d7be5a3bd15eb = $(`<div id="html_d197a2c727534113a63d7be5a3bd15eb" style="width: 100.0%; height: 100.0%;">Humber Summit</div>`)[0];
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}
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                var html_801606e7691e46bcbeff258a9dad30b2 = $(`<div id="html_801606e7691e46bcbeff258a9dad30b2" style="width: 100.0%; height: 100.0%;">Emery,Humberlea</div>`)[0];
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}
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                var html_901c4989f39a4ada95d3c150fbda3ea3 = $(`<div id="html_901c4989f39a4ada95d3c150fbda3ea3" style="width: 100.0%; height: 100.0%;">Weston</div>`)[0];
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  "stroke": true,
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}
                )
                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_57a91be4963e4b38b36ac41aa6ad882d = L.popup({maxWidth: '100%'
            
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                var html_3da072a4bf3e4f6983611f7d0ae32bde = $(`<div id="html_3da072a4bf3e4f6983611f7d0ae32bde" style="width: 100.0%; height: 100.0%;">Westmount</div>`)[0];
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            ;

            
        
    
            var circle_marker_bcd64196b53d43acbe679526b2c0ea92 = L.circleMarker(
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}
                )
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                var html_661b04447dd04517b386557d683e36a4 = $(`<div id="html_661b04447dd04517b386557d683e36a4" style="width: 100.0%; height: 100.0%;">Kingsview Village,Martin Grove Gardens,Richview Gardens,St. Phillips</div>`)[0];
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            circle_marker_bcd64196b53d43acbe679526b2c0ea92.bindPopup(popup_7cfa4057498841b6a602162e300cb665)
            ;

            
        
    
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                {
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  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
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}
                )
                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_cbeda39e210e43299a7d701a780b957b = L.popup({maxWidth: '100%'
            
            });

            
                var html_a0711d8951ad493f9d8f47279c47a514 = $(`<div id="html_a0711d8951ad493f9d8f47279c47a514" style="width: 100.0%; height: 100.0%;">Albion Gardens,Beaumond Heights,Humbergate,Jamestown,Mount Olive,Silverstone,South Steeles,Thistletown</div>`)[0];
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            ;

            
        
    
            var circle_marker_72df234312084fab8dea29d993ad8831 = L.circleMarker(
                [43.706748299999994, -79.5940544],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                )
                .addTo(map_8329bfd914cc4a8fac43dbfbcc0a202f);
            
    
            var popup_cb01aafb01c64dbcb096d038c108d9cf = L.popup({maxWidth: '100%'
            
            });

            
                var html_726c981747b14355b99f1a1efce77a10 = $(`<div id="html_726c981747b14355b99f1a1efce77a10" style="width: 100.0%; height: 100.0%;">Northwest</div>`)[0];
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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 0x1129d9b00>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import folium\n",
    "\n",
    "map_scarb = folium.Map(location=[latitude_scar, longitude_scar], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(Toronto_data['Latitude'], Toronto_data['Longitude'], Toronto_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": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: FUEW23VONO3RORWYVJ5M5QSXMJEOBYUHOFMMOQFUCKOAGA2A\n",
      "CLIENT_SECRET:4HEVVH0BOGMVSCQWPNLQSLAYXR2ZD2FQD5Z5ET3ZWMOWHVYF\n"
     ]
    }
   ],
   "source": [
    "# Define Foursquare Credentials and Version\n",
    "CLIENT_ID = 'FUEW23VONO3RORWYVJ5M5QSXMJEOBYUHOFMMOQFUCKOAGA2A' # your Foursquare ID\n",
    "CLIENT_SECRET = '4HEVVH0BOGMVSCQWPNLQSLAYXR2ZD2FQD5Z5ET3ZWMOWHVYF' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Rouge,Malvern are 43.806686299999996, -79.19435340000001.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = Toronto_data.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = Toronto_data.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = Toronto_data.loc[0, 'Neighbourhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the top 100 venues that are in Marble Hill within a radius of 500 meters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=FUEW23VONO3RORWYVJ5M5QSXMJEOBYUHOFMMOQFUCKOAGA2A&client_secret=4HEVVH0BOGMVSCQWPNLQSLAYXR2ZD2FQD5Z5ET3ZWMOWHVYF&v=20180605&ll=43.806686299999996,-79.19435340000001&radius=500&limit=100'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# type your answer here\n",
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "radius = 500 # define radius\n",
    "# create 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",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "url "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5cd683b81ed2196c3f592091'},\n",
       " 'response': {'warning': {'text': \"There aren't a lot of results near you. Try something more general, reset your filters, or expand the search area.\"},\n",
       "  'headerLocation': 'Malvern',\n",
       "  'headerFullLocation': 'Malvern, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 1,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.8111863045, 'lng': -79.18812958073042},\n",
       "   'sw': {'lat': 43.80218629549999, 'lng': -79.2005772192696}},\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': '4bb6b9446edc76b0d771311c',\n",
       "       'name': \"Wendy's\",\n",
       "       'location': {'crossStreet': 'Morningside & Sheppard',\n",
       "        'lat': 43.80744841934756,\n",
       "        'lng': -79.19905558052072,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.80744841934756,\n",
       "          'lng': -79.19905558052072}],\n",
       "        'distance': 387,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d16e941735',\n",
       "         'name': 'Fast Food Restaurant',\n",
       "         'pluralName': 'Fast Food Restaurants',\n",
       "         'shortName': 'Fast Food',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/fastfood_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bb6b9446edc76b0d771311c-0'}]}]}}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>Wendy's</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>43.807448</td>\n",
       "      <td>-79.199056</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      name            categories        lat        lng\n",
       "0  Wendy's  Fast Food Restaurant  43.807448 -79.199056"
      ]
     },
     "execution_count": 17,
     "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",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rouge,Malvern\n",
      "Highland Creek,Rouge Hill,Port Union\n",
      "Guildwood,Morningside,West Hill\n",
      "Woburn\n",
      "Cedarbrae\n",
      "Scarborough Village\n",
      "East Birchmount Park,Ionview,Kennedy Park\n",
      "Clairlea,Golden Mile,Oakridge\n",
      "Cliffcrest,Cliffside,Scarborough Village West\n",
      "Birch Cliff,Cliffside West\n",
      "Dorset Park,Scarborough Town Centre,Wexford Heights\n",
      "Maryvale,Wexford\n",
      "Agincourt\n",
      "Clarks Corners,Sullivan,Tam O'Shanter\n",
      "Agincourt North,L'Amoreaux East,Milliken,Steeles East\n",
      "L'Amoreaux West\n",
      "Upper Rouge\n",
      "Hillcrest Village\n",
      "Fairview,Henry Farm,Oriole\n",
      "Bayview Village\n",
      "Silver Hills,York Mills\n",
      "Newtonbrook,Willowdale\n",
      "Willowdale South\n",
      "York Mills West\n",
      "Willowdale West\n",
      "Parkwoods\n",
      "Don Mills North\n",
      "Flemingdon Park,Don Mills South\n",
      "Bathurst Manor,Downsview North,Wilson Heights\n",
      "Northwood Park,York University\n",
      "CFB Toronto,Downsview East\n",
      "Downsview West\n",
      "Downsview Central\n",
      "Downsview Northwest\n",
      "Victoria Village\n",
      "Woodbine Gardens,Parkview Hill\n",
      "Woodbine Heights\n",
      "The Beaches\n",
      "Leaside\n",
      "Thorncliffe Park\n",
      "East Toronto\n",
      "The Danforth West,Riverdale\n",
      "The Beaches West,India Bazaar\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West\n",
      "Davisville\n",
      "Moore Park,Summerhill East\n",
      "Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West\n",
      "Rosedale\n",
      "Cabbagetown,St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront,Regent Park\n",
      "Ryerson,Garden District\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Adelaide,King,Richmond\n",
      "Harbourfront East,Toronto Islands,Union Station\n",
      "Design Exchange,Toronto Dominion Centre\n",
      "Commerce Court,Victoria Hotel\n",
      "Bedford Park,Lawrence Manor East\n",
      "Roselawn\n",
      "Forest Hill North,Forest Hill West\n",
      "The Annex,North Midtown,Yorkville\n",
      "Harbord,University of Toronto\n",
      "Chinatown,Grange Park,Kensington Market\n",
      "CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "First Canadian Place,Underground city\n",
      "Lawrence Heights,Lawrence Manor\n",
      "Glencairn\n",
      "Humewood-Cedarvale\n",
      "Caledonia-Fairbanks\n",
      "Christie\n",
      "Dovercourt Village,Dufferin\n",
      "Little Portugal,Trinity\n",
      "Brockton,Exhibition Place,Parkdale Village\n",
      "Downsview,North Park,Upwood Park\n",
      "Del Ray,Keelesdale,Mount Dennis,Silverthorn\n",
      "The Junction North,Runnymede\n",
      "High Park,The Junction South\n",
      "Parkdale,Roncesvalles\n",
      "Runnymede,Swansea\n",
      "Queen's Park\n",
      "Canada Post Gateway Processing Centre\n",
      "Business Reply Mail Processing Centre 969 Eastern\n",
      "Humber Bay Shores,Mimico South,New Toronto\n",
      "Alderwood,Long Branch\n",
      "The Kingsway,Montgomery Road,Old Mill North\n",
      "Humber Bay,King's Mill Park,Kingsway Park South East,Mimico NE,Old Mill South,The Queensway East,Royal York South East,Sunnylea\n",
      "Kingsway Park South West,Mimico NW,The Queensway West,Royal York South West,South of Bloor\n",
      "Islington Avenue\n",
      "Cloverdale,Islington,Martin Grove,Princess Gardens,West Deane Park\n",
      "Bloordale Gardens,Eringate,Markland Wood,Old Burnhamthorpe\n",
      "Humber Summit\n",
      "Emery,Humberlea\n",
      "Weston\n",
      "Westmount\n",
      "Kingsview Village,Martin Grove Gardens,Richview Gardens,St. Phillips\n",
      "Albion Gardens,Beaumond Heights,Humbergate,Jamestown,Mount Olive,Silverstone,South Steeles,Thistletown\n",
      "Northwest\n"
     ]
    }
   ],
   "source": [
    "\n",
    "Toronto_venues = getNearbyVenues(names=Toronto_data['Neighbourhood'],\n",
    "                                   latitudes=Toronto_data['Latitude'],\n",
    "                                   longitudes=Toronto_data['Longitude']\n",
    "                                  )\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2243, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rouge,Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>Wendy's</td>\n",
       "      <td>43.807448</td>\n",
       "      <td>-79.199056</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Highland Creek,Rouge Hill,Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>Royal Canadian Legion</td>\n",
       "      <td>43.782533</td>\n",
       "      <td>-79.163085</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Guildwood,Morningside,West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>Swiss Chalet Rotisserie &amp; Grill</td>\n",
       "      <td>43.767697</td>\n",
       "      <td>-79.189914</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Guildwood,Morningside,West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>G &amp; G Electronics</td>\n",
       "      <td>43.765309</td>\n",
       "      <td>-79.191537</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Guildwood,Morningside,West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>Marina Spa</td>\n",
       "      <td>43.766000</td>\n",
       "      <td>-79.191000</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Neighborhood  Neighborhood Latitude  \\\n",
       "0                         Rouge,Malvern              43.806686   \n",
       "1  Highland Creek,Rouge Hill,Port Union              43.784535   \n",
       "2       Guildwood,Morningside,West Hill              43.763573   \n",
       "3       Guildwood,Morningside,West Hill              43.763573   \n",
       "4       Guildwood,Morningside,West Hill              43.763573   \n",
       "\n",
       "   Neighborhood Longitude                            Venue  Venue Latitude  \\\n",
       "0              -79.194353                          Wendy's       43.807448   \n",
       "1              -79.160497            Royal Canadian Legion       43.782533   \n",
       "2              -79.188711  Swiss Chalet Rotisserie & Grill       43.767697   \n",
       "3              -79.188711                G & G Electronics       43.765309   \n",
       "4              -79.188711                       Marina Spa       43.766000   \n",
       "\n",
       "   Venue Longitude        Venue Category  \n",
       "0       -79.199056  Fast Food Restaurant  \n",
       "1       -79.163085                   Bar  \n",
       "2       -79.189914           Pizza Place  \n",
       "3       -79.191537     Electronics Store  \n",
       "4       -79.191000                   Spa  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(Toronto_venues.shape)\n",
    "Toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Adelaide,King,Richmond</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agincourt</th>\n",
       "      <td>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,L'Amoreaux East,Milliken,Steeles East</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>Albion Gardens,Beaumond Heights,Humbergate,Jamestown,Mount Olive,Silverstone,South Steeles,Thistletown</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alderwood,Long Branch</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>Bathurst Manor,Downsview North,Wilson Heights</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bayview Village</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>Bedford Park,Lawrence Manor East</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Berczy Park</th>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Birch Cliff,Cliffside West</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>Bloordale Gardens,Eringate,Markland Wood,Old Burnhamthorpe</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>Brockton,Exhibition Place,Parkdale Village</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Business Reply Mail Processing Centre 969 Eastern</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CFB Toronto,Downsview East</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>CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabbagetown,St. James Town</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caledonia-Fairbanks</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>Canada Post Gateway Processing Centre</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>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>Central Bay Street</th>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinatown,Grange Park,Kensington Market</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clairlea,Golden Mile,Oakridge</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clarks Corners,Sullivan,Tam O'Shanter</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,Scarborough Village West</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>Cloverdale,Islington,Martin Grove,Princess Gardens,West Deane Park</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>Commerce Court,Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</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>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northwood Park,York University</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>Parkdale,Roncesvalles</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkwoods</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>Queen's Park</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roselawn</th>\n",
       "      <td>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>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>Runnymede,Swansea</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ryerson,Garden District</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scarborough Village</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>Silver Hills,York Mills</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>St. James Town</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stn A PO Boxes 25 The Esplanade</th>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Annex,North Midtown,Yorkville</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Beaches</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>The Beaches West,India Bazaar</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Danforth West,Riverdale</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Junction North,Runnymede</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>The Kingsway,Montgomery Road,Old Mill North</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>Thorncliffe Park</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Victoria Village</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>Westmount</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>Weston</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>Willowdale South</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Willowdale West</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>Woburn</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>Woodbine Gardens,Parkview Hill</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Woodbine Heights</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>York Mills West</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",
       "<p>100 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide,King,Richmond                                                100   \n",
       "Agincourt                                                               4   \n",
       "Agincourt North,L'Amoreaux East,Milliken,Steele...                      3   \n",
       "Albion Gardens,Beaumond Heights,Humbergate,Jame...                      9   \n",
       "Alderwood,Long Branch                                                  10   \n",
       "Bathurst Manor,Downsview North,Wilson Heights                          19   \n",
       "Bayview Village                                                         4   \n",
       "Bedford Park,Lawrence Manor East                                       23   \n",
       "Berczy Park                                                            57   \n",
       "Birch Cliff,Cliffside West                                              4   \n",
       "Bloordale Gardens,Eringate,Markland Wood,Old Bu...                      6   \n",
       "Brockton,Exhibition Place,Parkdale Village                             19   \n",
       "Business Reply Mail Processing Centre 969 Eastern                      17   \n",
       "CFB Toronto,Downsview East                                              3   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...                     15   \n",
       "Cabbagetown,St. James Town                                             44   \n",
       "Caledonia-Fairbanks                                                     6   \n",
       "Canada Post Gateway Processing Centre                                  10   \n",
       "Cedarbrae                                                               7   \n",
       "Central Bay Street                                                     88   \n",
       "Chinatown,Grange Park,Kensington Market                               100   \n",
       "Christie                                                               16   \n",
       "Church and Wellesley                                                   88   \n",
       "Clairlea,Golden Mile,Oakridge                                           9   \n",
       "Clarks Corners,Sullivan,Tam O'Shanter                                  10   \n",
       "Cliffcrest,Cliffside,Scarborough Village West                           2   \n",
       "Cloverdale,Islington,Martin Grove,Princess Gard...                      2   \n",
       "Commerce Court,Victoria Hotel                                         100   \n",
       "Davisville                                                             32   \n",
       "Davisville North                                                        7   \n",
       "...                                                                   ...   \n",
       "Northwood Park,York University                                          5   \n",
       "Parkdale,Roncesvalles                                                  15   \n",
       "Parkwoods                                                               4   \n",
       "Queen's Park                                                           39   \n",
       "Rosedale                                                                4   \n",
       "Roselawn                                                                1   \n",
       "Rouge,Malvern                                                           1   \n",
       "Runnymede,Swansea                                                      40   \n",
       "Ryerson,Garden District                                               100   \n",
       "Scarborough Village                                                     2   \n",
       "Silver Hills,York Mills                                                 2   \n",
       "St. James Town                                                        100   \n",
       "Stn A PO Boxes 25 The Esplanade                                        95   \n",
       "Studio District                                                        37   \n",
       "The Annex,North Midtown,Yorkville                                      24   \n",
       "The Beaches                                                             4   \n",
       "The Beaches West,India Bazaar                                          22   \n",
       "The Danforth West,Riverdale                                            44   \n",
       "The Junction North,Runnymede                                            4   \n",
       "The Kingsway,Montgomery Road,Old Mill North                             2   \n",
       "Thorncliffe Park                                                       17   \n",
       "Victoria Village                                                        4   \n",
       "Westmount                                                               7   \n",
       "Weston                                                                  3   \n",
       "Willowdale South                                                       34   \n",
       "Willowdale West                                                         5   \n",
       "Woburn                                                                  4   \n",
       "Woodbine Gardens,Parkview Hill                                         13   \n",
       "Woodbine Heights                                                        7   \n",
       "York Mills West                                                         3   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Adelaide,King,Richmond                                                 100   \n",
       "Agincourt                                                                4   \n",
       "Agincourt North,L'Amoreaux East,Milliken,Steele...                       3   \n",
       "Albion Gardens,Beaumond Heights,Humbergate,Jame...                       9   \n",
       "Alderwood,Long Branch                                                   10   \n",
       "Bathurst Manor,Downsview North,Wilson Heights                           19   \n",
       "Bayview Village                                                          4   \n",
       "Bedford Park,Lawrence Manor East                                        23   \n",
       "Berczy Park                                                             57   \n",
       "Birch Cliff,Cliffside West                                               4   \n",
       "Bloordale Gardens,Eringate,Markland Wood,Old Bu...                       6   \n",
       "Brockton,Exhibition Place,Parkdale Village                              19   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       17   \n",
       "CFB Toronto,Downsview East                                               3   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...                      15   \n",
       "Cabbagetown,St. James Town                                              44   \n",
       "Caledonia-Fairbanks                                                      6   \n",
       "Canada Post Gateway Processing Centre                                   10   \n",
       "Cedarbrae                                                                7   \n",
       "Central Bay Street                                                      88   \n",
       "Chinatown,Grange Park,Kensington Market                                100   \n",
       "Christie                                                                16   \n",
       "Church and Wellesley                                                    88   \n",
       "Clairlea,Golden Mile,Oakridge                                            9   \n",
       "Clarks Corners,Sullivan,Tam O'Shanter                                   10   \n",
       "Cliffcrest,Cliffside,Scarborough Village West                            2   \n",
       "Cloverdale,Islington,Martin Grove,Princess Gard...                       2   \n",
       "Commerce Court,Victoria Hotel                                          100   \n",
       "Davisville                                                              32   \n",
       "Davisville North                                                         7   \n",
       "...                                                                    ...   \n",
       "Northwood Park,York University                                           5   \n",
       "Parkdale,Roncesvalles                                                   15   \n",
       "Parkwoods                                                                4   \n",
       "Queen's Park                                                            39   \n",
       "Rosedale                                                                 4   \n",
       "Roselawn                                                                 1   \n",
       "Rouge,Malvern                                                            1   \n",
       "Runnymede,Swansea                                                       40   \n",
       "Ryerson,Garden District                                                100   \n",
       "Scarborough Village                                                      2   \n",
       "Silver Hills,York Mills                                                  2   \n",
       "St. James Town                                                         100   \n",
       "Stn A PO Boxes 25 The Esplanade                                         95   \n",
       "Studio District                                                         37   \n",
       "The Annex,North Midtown,Yorkville                                       24   \n",
       "The Beaches                                                              4   \n",
       "The Beaches West,India Bazaar                                           22   \n",
       "The Danforth West,Riverdale                                             44   \n",
       "The Junction North,Runnymede                                             4   \n",
       "The Kingsway,Montgomery Road,Old Mill North                              2   \n",
       "Thorncliffe Park                                                        17   \n",
       "Victoria Village                                                         4   \n",
       "Westmount                                                                7   \n",
       "Weston                                                                   3   \n",
       "Willowdale South                                                        34   \n",
       "Willowdale West                                                          5   \n",
       "Woburn                                                                   4   \n",
       "Woodbine Gardens,Parkview Hill                                          13   \n",
       "Woodbine Heights                                                         7   \n",
       "York Mills West                                                          3   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide,King,Richmond                                100             100   \n",
       "Agincourt                                               4               4   \n",
       "Agincourt North,L'Amoreaux East,Milliken,Steele...      3               3   \n",
       "Albion Gardens,Beaumond Heights,Humbergate,Jame...      9               9   \n",
       "Alderwood,Long Branch                                  10              10   \n",
       "Bathurst Manor,Downsview North,Wilson Heights          19              19   \n",
       "Bayview Village                                         4               4   \n",
       "Bedford Park,Lawrence Manor East                       23              23   \n",
       "Berczy Park                                            57              57   \n",
       "Birch Cliff,Cliffside West                              4               4   \n",
       "Bloordale Gardens,Eringate,Markland Wood,Old Bu...      6               6   \n",
       "Brockton,Exhibition Place,Parkdale Village             19              19   \n",
       "Business Reply Mail Processing Centre 969 Eastern      17              17   \n",
       "CFB Toronto,Downsview East                              3               3   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...     15              15   \n",
       "Cabbagetown,St. James Town                             44              44   \n",
       "Caledonia-Fairbanks                                     6               6   \n",
       "Canada Post Gateway Processing Centre                  10              10   \n",
       "Cedarbrae                                               7               7   \n",
       "Central Bay Street                                     88              88   \n",
       "Chinatown,Grange Park,Kensington Market               100             100   \n",
       "Christie                                               16              16   \n",
       "Church and Wellesley                                   88              88   \n",
       "Clairlea,Golden Mile,Oakridge                           9               9   \n",
       "Clarks Corners,Sullivan,Tam O'Shanter                  10              10   \n",
       "Cliffcrest,Cliffside,Scarborough Village West           2               2   \n",
       "Cloverdale,Islington,Martin Grove,Princess Gard...      2               2   \n",
       "Commerce Court,Victoria Hotel                         100             100   \n",
       "Davisville                                             32              32   \n",
       "Davisville North                                        7               7   \n",
       "...                                                   ...             ...   \n",
       "Northwood Park,York University                          5               5   \n",
       "Parkdale,Roncesvalles                                  15              15   \n",
       "Parkwoods                                               4               4   \n",
       "Queen's Park                                           39              39   \n",
       "Rosedale                                                4               4   \n",
       "Roselawn                                                1               1   \n",
       "Rouge,Malvern                                           1               1   \n",
       "Runnymede,Swansea                                      40              40   \n",
       "Ryerson,Garden District                               100             100   \n",
       "Scarborough Village                                     2               2   \n",
       "Silver Hills,York Mills                                 2               2   \n",
       "St. James Town                                        100             100   \n",
       "Stn A PO Boxes 25 The Esplanade                        95              95   \n",
       "Studio District                                        37              37   \n",
       "The Annex,North Midtown,Yorkville                      24              24   \n",
       "The Beaches                                             4               4   \n",
       "The Beaches West,India Bazaar                          22              22   \n",
       "The Danforth West,Riverdale                            44              44   \n",
       "The Junction North,Runnymede                            4               4   \n",
       "The Kingsway,Montgomery Road,Old Mill North             2               2   \n",
       "Thorncliffe Park                                       17              17   \n",
       "Victoria Village                                        4               4   \n",
       "Westmount                                               7               7   \n",
       "Weston                                                  3               3   \n",
       "Willowdale South                                       34              34   \n",
       "Willowdale West                                         5               5   \n",
       "Woburn                                                  4               4   \n",
       "Woodbine Gardens,Parkview Hill                         13              13   \n",
       "Woodbine Heights                                        7               7   \n",
       "York Mills West                                         3               3   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Adelaide,King,Richmond                                          100   \n",
       "Agincourt                                                         4   \n",
       "Agincourt North,L'Amoreaux East,Milliken,Steele...                3   \n",
       "Albion Gardens,Beaumond Heights,Humbergate,Jame...                9   \n",
       "Alderwood,Long Branch                                            10   \n",
       "Bathurst Manor,Downsview North,Wilson Heights                    19   \n",
       "Bayview Village                                                   4   \n",
       "Bedford Park,Lawrence Manor East                                 23   \n",
       "Berczy Park                                                      57   \n",
       "Birch Cliff,Cliffside West                                        4   \n",
       "Bloordale Gardens,Eringate,Markland Wood,Old Bu...                6   \n",
       "Brockton,Exhibition Place,Parkdale Village                       19   \n",
       "Business Reply Mail Processing Centre 969 Eastern                17   \n",
       "CFB Toronto,Downsview East                                        3   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...               15   \n",
       "Cabbagetown,St. James Town                                       44   \n",
       "Caledonia-Fairbanks                                               6   \n",
       "Canada Post Gateway Processing Centre                            10   \n",
       "Cedarbrae                                                         7   \n",
       "Central Bay Street                                               88   \n",
       "Chinatown,Grange Park,Kensington Market                         100   \n",
       "Christie                                                         16   \n",
       "Church and Wellesley                                             88   \n",
       "Clairlea,Golden Mile,Oakridge                                     9   \n",
       "Clarks Corners,Sullivan,Tam O'Shanter                            10   \n",
       "Cliffcrest,Cliffside,Scarborough Village West                     2   \n",
       "Cloverdale,Islington,Martin Grove,Princess Gard...                2   \n",
       "Commerce Court,Victoria Hotel                                   100   \n",
       "Davisville                                                       32   \n",
       "Davisville North                                                  7   \n",
       "...                                                             ...   \n",
       "Northwood Park,York University                                    5   \n",
       "Parkdale,Roncesvalles                                            15   \n",
       "Parkwoods                                                         4   \n",
       "Queen's Park                                                     39   \n",
       "Rosedale                                                          4   \n",
       "Roselawn                                                          1   \n",
       "Rouge,Malvern                                                     1   \n",
       "Runnymede,Swansea                                                40   \n",
       "Ryerson,Garden District                                         100   \n",
       "Scarborough Village                                               2   \n",
       "Silver Hills,York Mills                                           2   \n",
       "St. James Town                                                  100   \n",
       "Stn A PO Boxes 25 The Esplanade                                  95   \n",
       "Studio District                                                  37   \n",
       "The Annex,North Midtown,Yorkville                                24   \n",
       "The Beaches                                                       4   \n",
       "The Beaches West,India Bazaar                                    22   \n",
       "The Danforth West,Riverdale                                      44   \n",
       "The Junction North,Runnymede                                      4   \n",
       "The Kingsway,Montgomery Road,Old Mill North                       2   \n",
       "Thorncliffe Park                                                 17   \n",
       "Victoria Village                                                  4   \n",
       "Westmount                                                         7   \n",
       "Weston                                                            3   \n",
       "Willowdale South                                                 34   \n",
       "Willowdale West                                                   5   \n",
       "Woburn                                                            4   \n",
       "Woodbine Gardens,Parkview Hill                                   13   \n",
       "Woodbine Heights                                                  7   \n",
       "York Mills West                                                   3   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Adelaide,King,Richmond                                         100  \n",
       "Agincourt                                                        4  \n",
       "Agincourt North,L'Amoreaux East,Milliken,Steele...               3  \n",
       "Albion Gardens,Beaumond Heights,Humbergate,Jame...               9  \n",
       "Alderwood,Long Branch                                           10  \n",
       "Bathurst Manor,Downsview North,Wilson Heights                   19  \n",
       "Bayview Village                                                  4  \n",
       "Bedford Park,Lawrence Manor East                                23  \n",
       "Berczy Park                                                     57  \n",
       "Birch Cliff,Cliffside West                                       4  \n",
       "Bloordale Gardens,Eringate,Markland Wood,Old Bu...               6  \n",
       "Brockton,Exhibition Place,Parkdale Village                      19  \n",
       "Business Reply Mail Processing Centre 969 Eastern               17  \n",
       "CFB Toronto,Downsview East                                       3  \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...              15  \n",
       "Cabbagetown,St. James Town                                      44  \n",
       "Caledonia-Fairbanks                                              6  \n",
       "Canada Post Gateway Processing Centre                           10  \n",
       "Cedarbrae                                                        7  \n",
       "Central Bay Street                                              88  \n",
       "Chinatown,Grange Park,Kensington Market                        100  \n",
       "Christie                                                        16  \n",
       "Church and Wellesley                                            88  \n",
       "Clairlea,Golden Mile,Oakridge                                    9  \n",
       "Clarks Corners,Sullivan,Tam O'Shanter                           10  \n",
       "Cliffcrest,Cliffside,Scarborough Village West                    2  \n",
       "Cloverdale,Islington,Martin Grove,Princess Gard...               2  \n",
       "Commerce Court,Victoria Hotel                                  100  \n",
       "Davisville                                                      32  \n",
       "Davisville North                                                 7  \n",
       "...                                                            ...  \n",
       "Northwood Park,York University                                   5  \n",
       "Parkdale,Roncesvalles                                           15  \n",
       "Parkwoods                                                        4  \n",
       "Queen's Park                                                    39  \n",
       "Rosedale                                                         4  \n",
       "Roselawn                                                         1  \n",
       "Rouge,Malvern                                                    1  \n",
       "Runnymede,Swansea                                               40  \n",
       "Ryerson,Garden District                                        100  \n",
       "Scarborough Village                                              2  \n",
       "Silver Hills,York Mills                                          2  \n",
       "St. James Town                                                 100  \n",
       "Stn A PO Boxes 25 The Esplanade                                 95  \n",
       "Studio District                                                 37  \n",
       "The Annex,North Midtown,Yorkville                               24  \n",
       "The Beaches                                                      4  \n",
       "The Beaches West,India Bazaar                                   22  \n",
       "The Danforth West,Riverdale                                     44  \n",
       "The Junction North,Runnymede                                     4  \n",
       "The Kingsway,Montgomery Road,Old Mill North                      2  \n",
       "Thorncliffe Park                                                17  \n",
       "Victoria Village                                                 4  \n",
       "Westmount                                                        7  \n",
       "Weston                                                           3  \n",
       "Willowdale South                                                34  \n",
       "Willowdale West                                                  5  \n",
       "Woburn                                                           4  \n",
       "Woodbine Gardens,Parkview Hill                                  13  \n",
       "Woodbine Heights                                                 7  \n",
       "York Mills West                                                  3  \n",
       "\n",
       "[100 rows x 6 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 274 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(Toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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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>Yoga Studio</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>...</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "    </tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 274 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Accessories Store  Adult Boutique  Afghan Restaurant  Airport  \\\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",
       "   Airport Food Court  Airport Gate  Airport Lounge  Airport Service  \\\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",
       "   Airport Terminal  ...  Trail  Train Station  Vegetarian / Vegan 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",
       "   Video Game Store  Video Store  Vietnamese Restaurant  Warehouse 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",
       "   Wine Bar  Wings Joint  Women's Store  \n",
       "0         0            0              0  \n",
       "1         0            0              0  \n",
       "2         0            0              0  \n",
       "3         0            0              0  \n",
       "4         0            0              0  \n",
       "\n",
       "[5 rows x 274 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "manhattan_onehot = pd.get_dummies(Toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "manhattan_onehot['Neighborhood'] = Toronto_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [manhattan_onehot.columns[-1]] + list(manhattan_onehot.columns[:-1])\n",
    "manhattan_onehot = manhattan_onehot[fixed_columns]\n",
    "\n",
    "manhattan_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2243, 274)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_onehot.shape"
   ]
  },
  {
   "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>Neighborhood</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>...</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide,King,Richmond</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alderwood,Long Branch</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bathurst Manor,Downsview North,Wilson Heights</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bedford Park,Lawrence Manor East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017544</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Birch Cliff,Cliffside West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bloordale Gardens,Eringate,Markland Wood,Old B...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Brockton,Exhibition Place,Parkdale Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CFB Toronto,Downsview East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.2</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Cabbagetown,St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Caledonia-Fairbanks</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Canada Post Gateway Processing Centre</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Chinatown,Grange Park,Kensington Market</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Clairlea,Golden Mile,Oakridge</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Clarks Corners,Sullivan,Tam O'Shanter</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Cliffcrest,Cliffside,Scarborough Village West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Cloverdale,Islington,Martin Grove,Princess Gar...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Commerce Court,Victoria Hotel</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Northwood Park,York University</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Parkdale,Roncesvalles</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>0.025641</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025641</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Rouge,Malvern</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Runnymede,Swansea</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Ryerson,Garden District</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Silver Hills,York Mills</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>The Annex,North Midtown,Yorkville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>The Beaches West,India Bazaar</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>The Danforth West,Riverdale</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>The Junction North,Runnymede</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>The Kingsway,Montgomery Road,Old Mill North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Thorncliffe Park</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Westmount</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Weston</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Willowdale South</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Willowdale West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Woburn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Woodbine Gardens,Parkview Hill</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Woodbine Heights</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>York Mills West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 274 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                              Adelaide,King,Richmond     0.000000   \n",
       "1                                           Agincourt     0.000000   \n",
       "2   Agincourt North,L'Amoreaux East,Milliken,Steel...     0.000000   \n",
       "3   Albion Gardens,Beaumond Heights,Humbergate,Jam...     0.000000   \n",
       "4                               Alderwood,Long Branch     0.000000   \n",
       "5       Bathurst Manor,Downsview North,Wilson Heights     0.000000   \n",
       "6                                     Bayview Village     0.000000   \n",
       "7                    Bedford Park,Lawrence Manor East     0.000000   \n",
       "8                                         Berczy Park     0.000000   \n",
       "9                          Birch Cliff,Cliffside West     0.000000   \n",
       "10  Bloordale Gardens,Eringate,Markland Wood,Old B...     0.000000   \n",
       "11         Brockton,Exhibition Place,Parkdale Village     0.000000   \n",
       "12  Business Reply Mail Processing Centre 969 Eastern     0.058824   \n",
       "13                         CFB Toronto,Downsview East     0.000000   \n",
       "14  CN Tower,Bathurst Quay,Island airport,Harbourf...     0.000000   \n",
       "15                         Cabbagetown,St. James Town     0.000000   \n",
       "16                                Caledonia-Fairbanks     0.000000   \n",
       "17              Canada Post Gateway Processing Centre     0.000000   \n",
       "18                                          Cedarbrae     0.000000   \n",
       "19                                 Central Bay Street     0.011364   \n",
       "20            Chinatown,Grange Park,Kensington Market     0.000000   \n",
       "21                                           Christie     0.000000   \n",
       "22                               Church and Wellesley     0.011364   \n",
       "23                      Clairlea,Golden Mile,Oakridge     0.000000   \n",
       "24              Clarks Corners,Sullivan,Tam O'Shanter     0.000000   \n",
       "25      Cliffcrest,Cliffside,Scarborough Village West     0.000000   \n",
       "26  Cloverdale,Islington,Martin Grove,Princess Gar...     0.000000   \n",
       "27                      Commerce Court,Victoria Hotel     0.000000   \n",
       "28                                         Davisville     0.000000   \n",
       "29                                   Davisville North     0.000000   \n",
       "..                                                ...          ...   \n",
       "70                     Northwood Park,York University     0.000000   \n",
       "71                              Parkdale,Roncesvalles     0.000000   \n",
       "72                                          Parkwoods     0.000000   \n",
       "73                                       Queen's Park     0.025641   \n",
       "74                                           Rosedale     0.000000   \n",
       "75                                           Roselawn     0.000000   \n",
       "76                                      Rouge,Malvern     0.000000   \n",
       "77                                  Runnymede,Swansea     0.000000   \n",
       "78                            Ryerson,Garden District     0.000000   \n",
       "79                                Scarborough Village     0.000000   \n",
       "80                            Silver Hills,York Mills     0.000000   \n",
       "81                                     St. James Town     0.000000   \n",
       "82                    Stn A PO Boxes 25 The Esplanade     0.000000   \n",
       "83                                    Studio District     0.027027   \n",
       "84                  The Annex,North Midtown,Yorkville     0.000000   \n",
       "85                                        The Beaches     0.000000   \n",
       "86                      The Beaches West,India Bazaar     0.000000   \n",
       "87                        The Danforth West,Riverdale     0.022727   \n",
       "88                       The Junction North,Runnymede     0.000000   \n",
       "89        The Kingsway,Montgomery Road,Old Mill North     0.000000   \n",
       "90                                   Thorncliffe Park     0.058824   \n",
       "91                                   Victoria Village     0.000000   \n",
       "92                                          Westmount     0.000000   \n",
       "93                                             Weston     0.000000   \n",
       "94                                   Willowdale South     0.000000   \n",
       "95                                    Willowdale West     0.000000   \n",
       "96                                             Woburn     0.000000   \n",
       "97                     Woodbine Gardens,Parkview Hill     0.000000   \n",
       "98                                   Woodbine Heights     0.000000   \n",
       "99                                    York Mills West     0.000000   \n",
       "\n",
       "    Accessories Store  Adult Boutique  Afghan Restaurant   Airport  \\\n",
       "0                 0.0        0.000000           0.000000  0.000000   \n",
       "1                 0.0        0.000000           0.000000  0.000000   \n",
       "2                 0.0        0.000000           0.000000  0.000000   \n",
       "3                 0.0        0.000000           0.000000  0.000000   \n",
       "4                 0.0        0.000000           0.000000  0.000000   \n",
       "5                 0.0        0.000000           0.000000  0.000000   \n",
       "6                 0.0        0.000000           0.000000  0.000000   \n",
       "7                 0.0        0.000000           0.000000  0.000000   \n",
       "8                 0.0        0.000000           0.000000  0.000000   \n",
       "9                 0.0        0.000000           0.000000  0.000000   \n",
       "10                0.0        0.000000           0.000000  0.000000   \n",
       "11                0.0        0.000000           0.000000  0.000000   \n",
       "12                0.0        0.000000           0.000000  0.000000   \n",
       "13                0.0        0.000000           0.000000  0.333333   \n",
       "14                0.0        0.000000           0.000000  0.066667   \n",
       "15                0.0        0.000000           0.000000  0.000000   \n",
       "16                0.0        0.000000           0.000000  0.000000   \n",
       "17                0.0        0.000000           0.000000  0.000000   \n",
       "18                0.0        0.000000           0.000000  0.000000   \n",
       "19                0.0        0.000000           0.000000  0.000000   \n",
       "20                0.0        0.000000           0.000000  0.000000   \n",
       "21                0.0        0.000000           0.000000  0.000000   \n",
       "22                0.0        0.011364           0.011364  0.000000   \n",
       "23                0.0        0.000000           0.000000  0.000000   \n",
       "24                0.0        0.000000           0.000000  0.000000   \n",
       "25                0.0        0.000000           0.000000  0.000000   \n",
       "26                0.0        0.000000           0.000000  0.000000   \n",
       "27                0.0        0.000000           0.000000  0.000000   \n",
       "28                0.0        0.000000           0.000000  0.000000   \n",
       "29                0.0        0.000000           0.000000  0.000000   \n",
       "..                ...             ...                ...       ...   \n",
       "70                0.0        0.000000           0.000000  0.000000   \n",
       "71                0.0        0.000000           0.000000  0.000000   \n",
       "72                0.0        0.000000           0.000000  0.000000   \n",
       "73                0.0        0.000000           0.000000  0.000000   \n",
       "74                0.0        0.000000           0.000000  0.000000   \n",
       "75                0.0        0.000000           0.000000  0.000000   \n",
       "76                0.0        0.000000           0.000000  0.000000   \n",
       "77                0.0        0.000000           0.000000  0.000000   \n",
       "78                0.0        0.000000           0.000000  0.000000   \n",
       "79                0.0        0.000000           0.000000  0.000000   \n",
       "80                0.0        0.000000           0.000000  0.000000   \n",
       "81                0.0        0.000000           0.000000  0.000000   \n",
       "82                0.0        0.000000           0.000000  0.000000   \n",
       "83                0.0        0.000000           0.000000  0.000000   \n",
       "84                0.0        0.000000           0.000000  0.000000   \n",
       "85                0.0        0.000000           0.000000  0.000000   \n",
       "86                0.0        0.000000           0.000000  0.000000   \n",
       "87                0.0        0.000000           0.000000  0.000000   \n",
       "88                0.0        0.000000           0.000000  0.000000   \n",
       "89                0.0        0.000000           0.000000  0.000000   \n",
       "90                0.0        0.000000           0.000000  0.000000   \n",
       "91                0.0        0.000000           0.000000  0.000000   \n",
       "92                0.0        0.000000           0.000000  0.000000   \n",
       "93                0.0        0.000000           0.000000  0.000000   \n",
       "94                0.0        0.000000           0.000000  0.000000   \n",
       "95                0.0        0.000000           0.000000  0.000000   \n",
       "96                0.0        0.000000           0.000000  0.000000   \n",
       "97                0.0        0.000000           0.000000  0.000000   \n",
       "98                0.0        0.000000           0.000000  0.000000   \n",
       "99                0.0        0.000000           0.000000  0.000000   \n",
       "\n",
       "    Airport Food Court  Airport Gate  Airport Lounge  Airport Service  ...  \\\n",
       "0             0.000000      0.000000        0.000000              0.0  ...   \n",
       "1             0.000000      0.000000        0.000000              0.0  ...   \n",
       "2             0.000000      0.000000        0.000000              0.0  ...   \n",
       "3             0.000000      0.000000        0.000000              0.0  ...   \n",
       "4             0.000000      0.000000        0.000000              0.0  ...   \n",
       "5             0.000000      0.000000        0.000000              0.0  ...   \n",
       "6             0.000000      0.000000        0.000000              0.0  ...   \n",
       "7             0.000000      0.000000        0.000000              0.0  ...   \n",
       "8             0.000000      0.000000        0.000000              0.0  ...   \n",
       "9             0.000000      0.000000        0.000000              0.0  ...   \n",
       "10            0.000000      0.000000        0.000000              0.0  ...   \n",
       "11            0.000000      0.000000        0.000000              0.0  ...   \n",
       "12            0.000000      0.000000        0.000000              0.0  ...   \n",
       "13            0.000000      0.000000        0.000000              0.0  ...   \n",
       "14            0.066667      0.066667        0.133333              0.2  ...   \n",
       "15            0.000000      0.000000        0.000000              0.0  ...   \n",
       "16            0.000000      0.000000        0.000000              0.0  ...   \n",
       "17            0.000000      0.000000        0.000000              0.0  ...   \n",
       "18            0.000000      0.000000        0.000000              0.0  ...   \n",
       "19            0.000000      0.000000        0.000000              0.0  ...   \n",
       "20            0.000000      0.000000        0.000000              0.0  ...   \n",
       "21            0.000000      0.000000        0.000000              0.0  ...   \n",
       "22            0.000000      0.000000        0.000000              0.0  ...   \n",
       "23            0.000000      0.000000        0.000000              0.0  ...   \n",
       "24            0.000000      0.000000        0.000000              0.0  ...   \n",
       "25            0.000000      0.000000        0.000000              0.0  ...   \n",
       "26            0.000000      0.000000        0.000000              0.0  ...   \n",
       "27            0.000000      0.000000        0.000000              0.0  ...   \n",
       "28            0.000000      0.000000        0.000000              0.0  ...   \n",
       "29            0.000000      0.000000        0.000000              0.0  ...   \n",
       "..                 ...           ...             ...              ...  ...   \n",
       "70            0.000000      0.000000        0.000000              0.0  ...   \n",
       "71            0.000000      0.000000        0.000000              0.0  ...   \n",
       "72            0.000000      0.000000        0.000000              0.0  ...   \n",
       "73            0.000000      0.000000        0.000000              0.0  ...   \n",
       "74            0.000000      0.000000        0.000000              0.0  ...   \n",
       "75            0.000000      0.000000        0.000000              0.0  ...   \n",
       "76            0.000000      0.000000        0.000000              0.0  ...   \n",
       "77            0.000000      0.000000        0.000000              0.0  ...   \n",
       "78            0.000000      0.000000        0.000000              0.0  ...   \n",
       "79            0.000000      0.000000        0.000000              0.0  ...   \n",
       "80            0.000000      0.000000        0.000000              0.0  ...   \n",
       "81            0.000000      0.000000        0.000000              0.0  ...   \n",
       "82            0.000000      0.000000        0.000000              0.0  ...   \n",
       "83            0.000000      0.000000        0.000000              0.0  ...   \n",
       "84            0.000000      0.000000        0.000000              0.0  ...   \n",
       "85            0.000000      0.000000        0.000000              0.0  ...   \n",
       "86            0.000000      0.000000        0.000000              0.0  ...   \n",
       "87            0.000000      0.000000        0.000000              0.0  ...   \n",
       "88            0.000000      0.000000        0.000000              0.0  ...   \n",
       "89            0.000000      0.000000        0.000000              0.0  ...   \n",
       "90            0.000000      0.000000        0.000000              0.0  ...   \n",
       "91            0.000000      0.000000        0.000000              0.0  ...   \n",
       "92            0.000000      0.000000        0.000000              0.0  ...   \n",
       "93            0.000000      0.000000        0.000000              0.0  ...   \n",
       "94            0.000000      0.000000        0.000000              0.0  ...   \n",
       "95            0.000000      0.000000        0.000000              0.0  ...   \n",
       "96            0.000000      0.000000        0.000000              0.0  ...   \n",
       "97            0.000000      0.000000        0.000000              0.0  ...   \n",
       "98            0.000000      0.000000        0.000000              0.0  ...   \n",
       "99            0.000000      0.000000        0.000000              0.0  ...   \n",
       "\n",
       "       Trail  Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0   0.000000            0.0                       0.010000          0.000000   \n",
       "1   0.000000            0.0                       0.000000          0.000000   \n",
       "2   0.000000            0.0                       0.000000          0.000000   \n",
       "3   0.000000            0.0                       0.000000          0.000000   \n",
       "4   0.000000            0.0                       0.000000          0.000000   \n",
       "5   0.000000            0.0                       0.000000          0.000000   \n",
       "6   0.000000            0.0                       0.000000          0.000000   \n",
       "7   0.000000            0.0                       0.000000          0.000000   \n",
       "8   0.000000            0.0                       0.017544          0.000000   \n",
       "9   0.000000            0.0                       0.000000          0.000000   \n",
       "10  0.000000            0.0                       0.000000          0.000000   \n",
       "11  0.000000            0.0                       0.000000          0.000000   \n",
       "12  0.000000            0.0                       0.000000          0.000000   \n",
       "13  0.000000            0.0                       0.000000          0.000000   \n",
       "14  0.000000            0.0                       0.000000          0.000000   \n",
       "15  0.000000            0.0                       0.000000          0.000000   \n",
       "16  0.000000            0.0                       0.000000          0.000000   \n",
       "17  0.000000            0.0                       0.000000          0.000000   \n",
       "18  0.000000            0.0                       0.000000          0.000000   \n",
       "19  0.000000            0.0                       0.011364          0.000000   \n",
       "20  0.000000            0.0                       0.060000          0.000000   \n",
       "21  0.000000            0.0                       0.000000          0.000000   \n",
       "22  0.000000            0.0                       0.000000          0.011364   \n",
       "23  0.000000            0.0                       0.000000          0.000000   \n",
       "24  0.000000            0.0                       0.000000          0.000000   \n",
       "25  0.000000            0.0                       0.000000          0.000000   \n",
       "26  0.000000            0.0                       0.000000          0.000000   \n",
       "27  0.000000            0.0                       0.010000          0.000000   \n",
       "28  0.000000            0.0                       0.000000          0.000000   \n",
       "29  0.000000            0.0                       0.000000          0.000000   \n",
       "..       ...            ...                            ...               ...   \n",
       "70  0.000000            0.0                       0.000000          0.000000   \n",
       "71  0.000000            0.0                       0.000000          0.000000   \n",
       "72  0.000000            0.0                       0.000000          0.000000   \n",
       "73  0.000000            0.0                       0.000000          0.000000   \n",
       "74  0.250000            0.0                       0.000000          0.000000   \n",
       "75  0.000000            0.0                       0.000000          0.000000   \n",
       "76  0.000000            0.0                       0.000000          0.000000   \n",
       "77  0.000000            0.0                       0.025000          0.000000   \n",
       "78  0.000000            0.0                       0.010000          0.010000   \n",
       "79  0.000000            0.0                       0.000000          0.000000   \n",
       "80  0.000000            0.0                       0.000000          0.000000   \n",
       "81  0.000000            0.0                       0.010000          0.000000   \n",
       "82  0.000000            0.0                       0.010526          0.000000   \n",
       "83  0.000000            0.0                       0.000000          0.000000   \n",
       "84  0.000000            0.0                       0.041667          0.000000   \n",
       "85  0.000000            0.0                       0.000000          0.000000   \n",
       "86  0.000000            0.0                       0.000000          0.000000   \n",
       "87  0.022727            0.0                       0.000000          0.000000   \n",
       "88  0.000000            0.0                       0.000000          0.000000   \n",
       "89  0.000000            0.0                       0.000000          0.000000   \n",
       "90  0.000000            0.0                       0.000000          0.000000   \n",
       "91  0.000000            0.0                       0.000000          0.000000   \n",
       "92  0.000000            0.0                       0.000000          0.000000   \n",
       "93  0.000000            0.0                       0.000000          0.000000   \n",
       "94  0.000000            0.0                       0.000000          0.000000   \n",
       "95  0.000000            0.0                       0.000000          0.000000   \n",
       "96  0.000000            0.0                       0.000000          0.000000   \n",
       "97  0.000000            0.0                       0.000000          0.000000   \n",
       "98  0.000000            0.0                       0.000000          0.000000   \n",
       "99  0.000000            0.0                       0.000000          0.000000   \n",
       "\n",
       "    Video Store  Vietnamese Restaurant  Warehouse Store  Wine Bar  \\\n",
       "0      0.000000               0.000000         0.000000  0.010000   \n",
       "1      0.000000               0.000000         0.000000  0.000000   \n",
       "2      0.000000               0.000000         0.000000  0.000000   \n",
       "3      0.000000               0.000000         0.000000  0.000000   \n",
       "4      0.000000               0.000000         0.000000  0.000000   \n",
       "5      0.052632               0.000000         0.000000  0.000000   \n",
       "6      0.000000               0.000000         0.000000  0.000000   \n",
       "7      0.000000               0.000000         0.000000  0.000000   \n",
       "8      0.000000               0.000000         0.000000  0.000000   \n",
       "9      0.000000               0.000000         0.000000  0.000000   \n",
       "10     0.000000               0.000000         0.000000  0.000000   \n",
       "11     0.000000               0.000000         0.000000  0.000000   \n",
       "12     0.000000               0.000000         0.000000  0.000000   \n",
       "13     0.000000               0.000000         0.000000  0.000000   \n",
       "14     0.000000               0.000000         0.000000  0.000000   \n",
       "15     0.000000               0.000000         0.000000  0.000000   \n",
       "16     0.000000               0.000000         0.000000  0.000000   \n",
       "17     0.000000               0.000000         0.000000  0.000000   \n",
       "18     0.000000               0.000000         0.000000  0.000000   \n",
       "19     0.000000               0.000000         0.000000  0.011364   \n",
       "20     0.000000               0.030000         0.000000  0.010000   \n",
       "21     0.000000               0.000000         0.000000  0.000000   \n",
       "22     0.000000               0.011364         0.000000  0.000000   \n",
       "23     0.000000               0.000000         0.000000  0.000000   \n",
       "24     0.000000               0.000000         0.000000  0.000000   \n",
       "25     0.000000               0.000000         0.000000  0.000000   \n",
       "26     0.000000               0.000000         0.000000  0.000000   \n",
       "27     0.000000               0.000000         0.000000  0.010000   \n",
       "28     0.000000               0.000000         0.000000  0.000000   \n",
       "29     0.000000               0.000000         0.000000  0.000000   \n",
       "..          ...                    ...              ...       ...   \n",
       "70     0.000000               0.000000         0.000000  0.000000   \n",
       "71     0.000000               0.000000         0.000000  0.000000   \n",
       "72     0.000000               0.000000         0.000000  0.000000   \n",
       "73     0.000000               0.000000         0.000000  0.000000   \n",
       "74     0.000000               0.000000         0.000000  0.000000   \n",
       "75     0.000000               0.000000         0.000000  0.000000   \n",
       "76     0.000000               0.000000         0.000000  0.000000   \n",
       "77     0.000000               0.000000         0.000000  0.000000   \n",
       "78     0.000000               0.010000         0.000000  0.010000   \n",
       "79     0.000000               0.000000         0.000000  0.000000   \n",
       "80     0.000000               0.000000         0.000000  0.000000   \n",
       "81     0.000000               0.000000         0.000000  0.000000   \n",
       "82     0.000000               0.000000         0.000000  0.000000   \n",
       "83     0.000000               0.000000         0.000000  0.000000   \n",
       "84     0.000000               0.000000         0.000000  0.000000   \n",
       "85     0.000000               0.000000         0.000000  0.000000   \n",
       "86     0.000000               0.000000         0.000000  0.000000   \n",
       "87     0.000000               0.000000         0.000000  0.000000   \n",
       "88     0.000000               0.000000         0.000000  0.000000   \n",
       "89     0.000000               0.000000         0.000000  0.000000   \n",
       "90     0.000000               0.000000         0.058824  0.000000   \n",
       "91     0.000000               0.000000         0.000000  0.000000   \n",
       "92     0.000000               0.000000         0.000000  0.000000   \n",
       "93     0.000000               0.000000         0.000000  0.000000   \n",
       "94     0.000000               0.029412         0.000000  0.000000   \n",
       "95     0.000000               0.000000         0.000000  0.000000   \n",
       "96     0.000000               0.000000         0.000000  0.000000   \n",
       "97     0.000000               0.000000         0.000000  0.000000   \n",
       "98     0.000000               0.000000         0.000000  0.000000   \n",
       "99     0.000000               0.000000         0.000000  0.000000   \n",
       "\n",
       "    Wings Joint  Women's Store  \n",
       "0      0.000000       0.000000  \n",
       "1      0.000000       0.000000  \n",
       "2      0.000000       0.000000  \n",
       "3      0.000000       0.000000  \n",
       "4      0.000000       0.000000  \n",
       "5      0.000000       0.000000  \n",
       "6      0.000000       0.000000  \n",
       "7      0.000000       0.000000  \n",
       "8      0.000000       0.000000  \n",
       "9      0.000000       0.000000  \n",
       "10     0.000000       0.000000  \n",
       "11     0.000000       0.000000  \n",
       "12     0.000000       0.000000  \n",
       "13     0.000000       0.000000  \n",
       "14     0.000000       0.000000  \n",
       "15     0.000000       0.000000  \n",
       "16     0.000000       0.166667  \n",
       "17     0.000000       0.000000  \n",
       "18     0.000000       0.000000  \n",
       "19     0.000000       0.000000  \n",
       "20     0.000000       0.000000  \n",
       "21     0.000000       0.000000  \n",
       "22     0.011364       0.000000  \n",
       "23     0.000000       0.000000  \n",
       "24     0.000000       0.000000  \n",
       "25     0.000000       0.000000  \n",
       "26     0.000000       0.000000  \n",
       "27     0.000000       0.000000  \n",
       "28     0.000000       0.000000  \n",
       "29     0.000000       0.000000  \n",
       "..          ...            ...  \n",
       "70     0.000000       0.000000  \n",
       "71     0.000000       0.000000  \n",
       "72     0.000000       0.000000  \n",
       "73     0.025641       0.000000  \n",
       "74     0.000000       0.000000  \n",
       "75     0.000000       0.000000  \n",
       "76     0.000000       0.000000  \n",
       "77     0.000000       0.000000  \n",
       "78     0.000000       0.000000  \n",
       "79     0.000000       0.000000  \n",
       "80     0.000000       0.000000  \n",
       "81     0.000000       0.000000  \n",
       "82     0.000000       0.000000  \n",
       "83     0.000000       0.000000  \n",
       "84     0.000000       0.000000  \n",
       "85     0.000000       0.000000  \n",
       "86     0.000000       0.000000  \n",
       "87     0.000000       0.000000  \n",
       "88     0.000000       0.000000  \n",
       "89     0.000000       0.000000  \n",
       "90     0.000000       0.000000  \n",
       "91     0.000000       0.000000  \n",
       "92     0.000000       0.000000  \n",
       "93     0.000000       0.000000  \n",
       "94     0.000000       0.000000  \n",
       "95     0.000000       0.000000  \n",
       "96     0.000000       0.000000  \n",
       "97     0.000000       0.000000  \n",
       "98     0.000000       0.000000  \n",
       "99     0.000000       0.000000  \n",
       "\n",
       "[100 rows x 274 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_grouped = manhattan_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "manhattan_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 274)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_grouped.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Adelaide,King,Richmond----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.06\n",
      "1                 Café  0.05\n",
      "2           Steakhouse  0.04\n",
      "3  American Restaurant  0.04\n",
      "4      Thai Restaurant  0.04\n",
      "\n",
      "\n",
      "----Agincourt----\n",
      "                venue  freq\n",
      "0        Skating Rink  0.25\n",
      "1      Sandwich Place  0.25\n",
      "2              Lounge  0.25\n",
      "3      Breakfast Spot  0.25\n",
      "4  Mexican Restaurant  0.00\n",
      "\n",
      "\n",
      "----Agincourt North,L'Amoreaux East,Milliken,Steeles East----\n",
      "                venue  freq\n",
      "0          Playground  0.33\n",
      "1         Coffee Shop  0.33\n",
      "2                Park  0.33\n",
      "3         Yoga Studio  0.00\n",
      "4  Mexican Restaurant  0.00\n",
      "\n",
      "\n",
      "----Albion Gardens,Beaumond Heights,Humbergate,Jamestown,Mount Olive,Silverstone,South Steeles,Thistletown----\n",
      "                 venue  freq\n",
      "0        Grocery Store  0.22\n",
      "1             Pharmacy  0.11\n",
      "2           Beer Store  0.11\n",
      "3       Sandwich Place  0.11\n",
      "4  Fried Chicken Joint  0.11\n",
      "\n",
      "\n",
      "----Alderwood,Long Branch----\n",
      "                venue  freq\n",
      "0         Pizza Place   0.2\n",
      "1            Pharmacy   0.1\n",
      "2                 Gym   0.1\n",
      "3  Athletics & Sports   0.1\n",
      "4      Sandwich Place   0.1\n",
      "\n",
      "\n",
      "----Bathurst Manor,Downsview North,Wilson Heights----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.11\n",
      "1   Frozen Yogurt Shop  0.05\n",
      "2                 Bank  0.05\n",
      "3          Supermarket  0.05\n",
      "4  Fried Chicken Joint  0.05\n",
      "\n",
      "\n",
      "----Bayview Village----\n",
      "                 venue  freq\n",
      "0  Japanese Restaurant  0.25\n",
      "1                 Bank  0.25\n",
      "2                 Café  0.25\n",
      "3   Chinese Restaurant  0.25\n",
      "4                Motel  0.00\n",
      "\n",
      "\n",
      "----Bedford Park,Lawrence Manor East----\n",
      "                  venue  freq\n",
      "0    Italian Restaurant  0.09\n",
      "1           Coffee Shop  0.09\n",
      "2  Fast Food Restaurant  0.09\n",
      "3             Juice Bar  0.04\n",
      "4      Sushi Restaurant  0.04\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.09\n",
      "1        Cocktail Bar  0.05\n",
      "2  Seafood Restaurant  0.04\n",
      "3         Cheese Shop  0.04\n",
      "4            Beer Bar  0.04\n",
      "\n",
      "\n",
      "----Birch Cliff,Cliffside West----\n",
      "                   venue  freq\n",
      "0        College Stadium  0.25\n",
      "1  General Entertainment  0.25\n",
      "2           Skating Rink  0.25\n",
      "3                   Café  0.25\n",
      "4     Miscellaneous Shop  0.00\n",
      "\n",
      "\n",
      "----Bloordale Gardens,Eringate,Markland Wood,Old Burnhamthorpe----\n",
      "               venue  freq\n",
      "0           Pharmacy  0.17\n",
      "1  Convenience Store  0.17\n",
      "2         Beer Store  0.17\n",
      "3       Liquor Store  0.17\n",
      "4               Café  0.17\n",
      "\n",
      "\n",
      "----Brockton,Exhibition Place,Parkdale Village----\n",
      "            venue  freq\n",
      "0  Breakfast Spot  0.11\n",
      "1     Coffee Shop  0.11\n",
      "2            Café  0.11\n",
      "3   Burrito Place  0.05\n",
      "4         Stadium  0.05\n",
      "\n",
      "\n",
      "----Business Reply Mail Processing Centre 969 Eastern----\n",
      "                  venue  freq\n",
      "0    Light Rail Station  0.12\n",
      "1           Yoga Studio  0.06\n",
      "2      Recording Studio  0.06\n",
      "3  Fast Food Restaurant  0.06\n",
      "4            Comic Shop  0.06\n",
      "\n",
      "\n",
      "----CFB Toronto,Downsview East----\n",
      "           venue  freq\n",
      "0           Park  0.33\n",
      "1        Airport  0.33\n",
      "2    Snack Place  0.33\n",
      "3    Yoga Studio  0.00\n",
      "4  Metro Station  0.00\n",
      "\n",
      "\n",
      "----CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara----\n",
      "              venue  freq\n",
      "0   Airport Service  0.20\n",
      "1    Airport Lounge  0.13\n",
      "2  Airport Terminal  0.13\n",
      "3             Plane  0.07\n",
      "4          Boutique  0.07\n",
      "\n",
      "\n",
      "----Cabbagetown,St. James Town----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.09\n",
      "1       Bakery  0.05\n",
      "2         Café  0.05\n",
      "3   Restaurant  0.05\n",
      "4          Pub  0.05\n",
      "\n",
      "\n",
      "----Caledonia-Fairbanks----\n",
      "                  venue  freq\n",
      "0                  Park  0.33\n",
      "1         Women's Store  0.17\n",
      "2              Pharmacy  0.17\n",
      "3                Market  0.17\n",
      "4  Fast Food Restaurant  0.17\n",
      "\n",
      "\n",
      "----Canada Post Gateway Processing Centre----\n",
      "                      venue  freq\n",
      "0               Coffee Shop   0.2\n",
      "1                     Hotel   0.2\n",
      "2       American Restaurant   0.1\n",
      "3            Sandwich Place   0.1\n",
      "4  Mediterranean Restaurant   0.1\n",
      "\n",
      "\n",
      "----Cedarbrae----\n",
      "                 venue  freq\n",
      "0     Hakka Restaurant  0.14\n",
      "1      Thai Restaurant  0.14\n",
      "2  Fried Chicken Joint  0.14\n",
      "3                 Bank  0.14\n",
      "4               Bakery  0.14\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.15\n",
      "1                       Café  0.06\n",
      "2         Italian Restaurant  0.05\n",
      "3               Burger Joint  0.03\n",
      "4  Middle Eastern Restaurant  0.02\n",
      "\n",
      "\n",
      "----Chinatown,Grange Park,Kensington Market----\n",
      "                           venue  freq\n",
      "0                           Café  0.08\n",
      "1  Vegetarian / Vegan Restaurant  0.06\n",
      "2                            Bar  0.05\n",
      "3                    Coffee Shop  0.04\n",
      "4                         Bakery  0.04\n",
      "\n",
      "\n",
      "----Christie----\n",
      "                venue  freq\n",
      "0                Café  0.19\n",
      "1       Grocery Store  0.19\n",
      "2                Park  0.12\n",
      "3  Athletics & Sports  0.06\n",
      "4           Nightclub  0.06\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0  Japanese Restaurant  0.07\n",
      "1          Coffee Shop  0.07\n",
      "2              Gay Bar  0.06\n",
      "3     Sushi Restaurant  0.05\n",
      "4           Restaurant  0.03\n",
      "\n",
      "\n",
      "----Clairlea,Golden Mile,Oakridge----\n",
      "                  venue  freq\n",
      "0                Bakery  0.22\n",
      "1              Bus Line  0.22\n",
      "2         Metro Station  0.11\n",
      "3          Intersection  0.11\n",
      "4  Fast Food Restaurant  0.11\n",
      "\n",
      "\n",
      "----Clarks Corners,Sullivan,Tam O'Shanter----\n",
      "                 venue  freq\n",
      "0          Pizza Place   0.2\n",
      "1      Thai Restaurant   0.1\n",
      "2         Noodle House   0.1\n",
      "3   Chinese Restaurant   0.1\n",
      "4  Rental Car Location   0.1\n",
      "\n",
      "\n",
      "----Cliffcrest,Cliffside,Scarborough Village West----\n",
      "                             venue  freq\n",
      "0                            Motel   0.5\n",
      "1              American Restaurant   0.5\n",
      "2                    Movie Theater   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Cloverdale,Islington,Martin Grove,Princess Gardens,West Deane Park----\n",
      "                             venue  freq\n",
      "0                             Bank   0.5\n",
      "1                      Golf Course   0.5\n",
      "2                      Yoga Studio   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Commerce Court,Victoria Hotel----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.11\n",
      "1                 Café  0.07\n",
      "2                Hotel  0.06\n",
      "3           Restaurant  0.05\n",
      "4  American Restaurant  0.04\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "                venue  freq\n",
      "0         Pizza Place  0.09\n",
      "1        Dessert Shop  0.09\n",
      "2      Sandwich Place  0.09\n",
      "3  Italian Restaurant  0.06\n",
      "4         Coffee Shop  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "               venue  freq\n",
      "0  Food & Drink Shop  0.14\n",
      "1     Sandwich Place  0.14\n",
      "2               Park  0.14\n",
      "3                Gym  0.14\n",
      "4     Breakfast Spot  0.14\n",
      "\n",
      "\n",
      "----Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West----\n",
      "               venue  freq\n",
      "0        Coffee Shop  0.14\n",
      "1                Pub  0.14\n",
      "2   Sushi Restaurant  0.07\n",
      "3        Pizza Place  0.07\n",
      "4  Convenience Store  0.07\n",
      "\n",
      "\n",
      "----Del Ray,Keelesdale,Mount Dennis,Silverthorn----\n",
      "                       venue  freq\n",
      "0                        Bar  0.25\n",
      "1             Sandwich Place  0.25\n",
      "2             Discount Store  0.25\n",
      "3          Convenience Store  0.25\n",
      "4  Middle Eastern Restaurant  0.00\n",
      "\n",
      "\n",
      "----Design Exchange,Toronto Dominion Centre----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.12\n",
      "1                 Café  0.08\n",
      "2                Hotel  0.08\n",
      "3           Restaurant  0.05\n",
      "4  American Restaurant  0.03\n",
      "\n",
      "\n",
      "----Don Mills North----\n",
      "                  venue  freq\n",
      "0                  Café  0.25\n",
      "1   Japanese Restaurant  0.25\n",
      "2  Gym / Fitness Center  0.25\n",
      "3  Caribbean Restaurant  0.25\n",
      "4    Miscellaneous Shop  0.00\n",
      "\n",
      "\n",
      "----Dorset Park,Scarborough Town Centre,Wexford Heights----\n",
      "                       venue  freq\n",
      "0          Indian Restaurant  0.33\n",
      "1                  Pet Store  0.17\n",
      "2         Chinese Restaurant  0.17\n",
      "3      Vietnamese Restaurant  0.17\n",
      "4  Latin American Restaurant  0.17\n",
      "\n",
      "\n",
      "----Dovercourt Village,Dufferin----\n",
      "                       venue  freq\n",
      "0                     Bakery  0.10\n",
      "1                Supermarket  0.10\n",
      "2                   Pharmacy  0.10\n",
      "3  Middle Eastern Restaurant  0.05\n",
      "4                       Bank  0.05\n",
      "\n",
      "\n",
      "----Downsview Central----\n",
      "               venue  freq\n",
      "0  Korean Restaurant  0.25\n",
      "1   Business Service  0.25\n",
      "2         Food Truck  0.25\n",
      "3     Baseball Field  0.25\n",
      "4        Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Downsview Northwest----\n",
      "                  venue  freq\n",
      "0  Gym / Fitness Center   0.2\n",
      "1         Grocery Store   0.2\n",
      "2          Liquor Store   0.2\n",
      "3        Discount Store   0.2\n",
      "4    Athletics & Sports   0.2\n",
      "\n",
      "\n",
      "----Downsview West----\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           venue  freq\n",
      "0           Bank  0.25\n",
      "1  Moving Target  0.25\n",
      "2  Grocery Store  0.25\n",
      "3  Shopping Mall  0.25\n",
      "4    Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Downsview,North Park,Upwood Park----\n",
      "                        venue  freq\n",
      "0              Massage Studio  0.25\n",
      "1                        Park  0.25\n",
      "2  Construction & Landscaping  0.25\n",
      "3                      Bakery  0.25\n",
      "4                 Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----East Birchmount Park,Ionview,Kennedy Park----\n",
      "               venue  freq\n",
      "0   Department Store  0.25\n",
      "1        Bus Station  0.25\n",
      "2     Discount Store  0.25\n",
      "3        Coffee Shop  0.25\n",
      "4  Mobile Phone Shop  0.00\n",
      "\n",
      "\n",
      "----East Toronto----\n",
      "                             venue  freq\n",
      "0                             Park  0.50\n",
      "1                    Metro Station  0.25\n",
      "2                Convenience Store  0.25\n",
      "3                      Yoga Studio  0.00\n",
      "4  Molecular Gastronomy Restaurant  0.00\n",
      "\n",
      "\n",
      "----Emery,Humberlea----\n",
      "                        venue  freq\n",
      "0  Construction & Landscaping   0.5\n",
      "1              Baseball Field   0.5\n",
      "2                 Yoga Studio   0.0\n",
      "3          Mexican Restaurant   0.0\n",
      "4         Monument / Landmark   0.0\n",
      "\n",
      "\n",
      "----Fairview,Henry Farm,Oriole----\n",
      "                  venue  freq\n",
      "0        Clothing Store  0.11\n",
      "1  Fast Food Restaurant  0.08\n",
      "2           Coffee Shop  0.08\n",
      "3      Toy / Game Store  0.03\n",
      "4              Tea Room  0.03\n",
      "\n",
      "\n",
      "----First Canadian Place,Underground city----\n",
      "          venue  freq\n",
      "0          Café  0.09\n",
      "1   Coffee Shop  0.09\n",
      "2         Hotel  0.04\n",
      "3  Burger Joint  0.03\n",
      "4           Bar  0.03\n",
      "\n",
      "\n",
      "----Flemingdon Park,Don Mills South----\n",
      "                  venue  freq\n",
      "0            Beer Store  0.10\n",
      "1           Coffee Shop  0.10\n",
      "2                   Gym  0.10\n",
      "3      Asian Restaurant  0.10\n",
      "4  Fast Food Restaurant  0.05\n",
      "\n",
      "\n",
      "----Forest Hill North,Forest Hill West----\n",
      "              venue  freq\n",
      "0          Bus Line  0.25\n",
      "1  Sushi Restaurant  0.25\n",
      "2     Jewelry Store  0.25\n",
      "3             Trail  0.25\n",
      "4       Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Glencairn----\n",
      "                 venue  freq\n",
      "0  Japanese Restaurant  0.25\n",
      "1               Arcade  0.25\n",
      "2               Bakery  0.25\n",
      "3                  Pub  0.25\n",
      "4          Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Guildwood,Morningside,West Hill----\n",
      "               venue  freq\n",
      "0        Pizza Place  0.12\n",
      "1                Spa  0.12\n",
      "2       Intersection  0.12\n",
      "3     Medical Center  0.12\n",
      "4  Electronics Store  0.12\n",
      "\n",
      "\n",
      "----Harbord,University of Toronto----\n",
      "                 venue  freq\n",
      "0                 Café  0.15\n",
      "1           Restaurant  0.06\n",
      "2  Japanese Restaurant  0.06\n",
      "3            Bookstore  0.06\n",
      "4                  Bar  0.06\n",
      "\n",
      "\n",
      "----Harbourfront East,Toronto Islands,Union Station----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1               Hotel  0.05\n",
      "2            Aquarium  0.05\n",
      "3  Italian Restaurant  0.04\n",
      "4                Café  0.04\n",
      "\n",
      "\n",
      "----Harbourfront,Regent Park----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.15\n",
      "1       Bakery  0.07\n",
      "2          Pub  0.07\n",
      "3         Café  0.07\n",
      "4         Park  0.07\n",
      "\n",
      "\n",
      "----High Park,The Junction South----\n",
      "                venue  freq\n",
      "0                Café  0.09\n",
      "1  Mexican Restaurant  0.09\n",
      "2                 Bar  0.09\n",
      "3        Antique Shop  0.04\n",
      "4           Gastropub  0.04\n",
      "\n",
      "\n",
      "----Highland Creek,Rouge Hill,Port Union----\n",
      "                             venue  freq\n",
      "0                              Bar   1.0\n",
      "1                    Metro Station   0.0\n",
      "2  Molecular Gastronomy Restaurant   0.0\n",
      "3       Modern European Restaurant   0.0\n",
      "4                Mobile Phone Shop   0.0\n",
      "\n",
      "\n",
      "----Hillcrest Village----\n",
      "                      venue  freq\n",
      "0        Athletics & Sports  0.17\n",
      "1      Fast Food Restaurant  0.17\n",
      "2  Mediterranean Restaurant  0.17\n",
      "3                      Pool  0.17\n",
      "4               Golf Course  0.17\n",
      "\n",
      "\n",
      "----Humber Bay Shores,Mimico South,New Toronto----\n",
      "                venue  freq\n",
      "0           Pet Store  0.07\n",
      "1          Restaurant  0.07\n",
      "2  Mexican Restaurant  0.07\n",
      "3         Flower Shop  0.07\n",
      "4        Liquor Store  0.07\n",
      "\n",
      "\n",
      "----Humber Bay,King's Mill Park,Kingsway Park South East,Mimico NE,Old Mill South,The Queensway East,Royal York South East,Sunnylea----\n",
      "                             venue  freq\n",
      "0                   Baseball Field   1.0\n",
      "1                      Yoga Studio   0.0\n",
      "2                    Metro Station   0.0\n",
      "3  Molecular Gastronomy Restaurant   0.0\n",
      "4       Modern European Restaurant   0.0\n",
      "\n",
      "\n",
      "----Humber Summit----\n",
      "                             venue  freq\n",
      "0                      Pizza Place   0.5\n",
      "1              Empanada Restaurant   0.5\n",
      "2                    Metro Station   0.0\n",
      "3  Molecular Gastronomy Restaurant   0.0\n",
      "4       Modern European Restaurant   0.0\n",
      "\n",
      "\n",
      "----Humewood-Cedarvale----\n",
      "                             venue  freq\n",
      "0                            Field  0.33\n",
      "1                            Trail  0.33\n",
      "2                     Hockey Arena  0.33\n",
      "3  Molecular Gastronomy Restaurant  0.00\n",
      "4       Modern European Restaurant  0.00\n",
      "\n",
      "\n",
      "----Kingsview Village,Martin Grove Gardens,Richview Gardens,St. Phillips----\n",
      "                venue  freq\n",
      "0         Pizza Place  0.25\n",
      "1            Bus Line  0.25\n",
      "2                Park  0.25\n",
      "3   Mobile Phone Shop  0.25\n",
      "4  Mexican Restaurant  0.00\n",
      "\n",
      "\n",
      "----Kingsway Park South West,Mimico NW,The Queensway West,Royal York South West,South of Bloor----\n",
      "                    venue  freq\n",
      "0          Discount Store  0.08\n",
      "1  Thrift / Vintage Store  0.08\n",
      "2             Social Club  0.08\n",
      "3            Burger Joint  0.08\n",
      "4           Burrito Place  0.08\n",
      "\n",
      "\n",
      "----L'Amoreaux West----\n",
      "                  venue  freq\n",
      "0  Fast Food Restaurant  0.15\n",
      "1    Chinese Restaurant  0.15\n",
      "2         Grocery Store  0.15\n",
      "3   Japanese Restaurant  0.08\n",
      "4           Coffee Shop  0.08\n",
      "\n",
      "\n",
      "----Lawrence Heights,Lawrence Manor----\n",
      "                    venue  freq\n",
      "0  Furniture / Home Store  0.20\n",
      "1          Clothing Store  0.20\n",
      "2           Women's Store  0.07\n",
      "3             Coffee Shop  0.07\n",
      "4             Event Space  0.07\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "                        venue  freq\n",
      "0                    Bus Line  0.25\n",
      "1                        Park  0.25\n",
      "2                 Swim School  0.25\n",
      "3  Construction & Landscaping  0.25\n",
      "4                 Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Leaside----\n",
      "                    venue  freq\n",
      "0     Sporting Goods Shop  0.09\n",
      "1             Coffee Shop  0.09\n",
      "2            Burger Joint  0.06\n",
      "3  Furniture / Home Store  0.06\n",
      "4              Beer Store  0.03\n",
      "\n",
      "\n",
      "----Little Portugal,Trinity----\n",
      "                     venue  freq\n",
      "0                      Bar  0.13\n",
      "1         Asian Restaurant  0.05\n",
      "2              Coffee Shop  0.05\n",
      "3  New American Restaurant  0.03\n",
      "4               Restaurant  0.03\n",
      "\n",
      "\n",
      "----Maryvale,Wexford----\n",
      "            venue  freq\n",
      "0     Auto Garage  0.14\n",
      "1   Shopping Mall  0.14\n",
      "2  Sandwich Place  0.14\n",
      "3  Breakfast Spot  0.14\n",
      "4      Smoke Shop  0.14\n",
      "\n",
      "\n",
      "----Moore Park,Summerhill East----\n",
      "                             venue  freq\n",
      "0                            Trail  0.33\n",
      "1                       Playground  0.33\n",
      "2                     Tennis Court  0.33\n",
      "3                      Yoga Studio  0.00\n",
      "4  Molecular Gastronomy Restaurant  0.00\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "                    venue  freq\n",
      "0          Clothing Store  0.15\n",
      "1             Coffee Shop  0.10\n",
      "2             Yoga Studio  0.05\n",
      "3  Furniture / Home Store  0.05\n",
      "4                    Park  0.05\n",
      "\n",
      "\n",
      "----Northwest----\n",
      "                             venue  freq\n",
      "0                        Drugstore  0.33\n",
      "1              Rental Car Location  0.33\n",
      "2                              Bar  0.33\n",
      "3                      Yoga Studio  0.00\n",
      "4  Molecular Gastronomy Restaurant  0.00\n",
      "\n",
      "\n",
      "----Northwood Park,York University----\n",
      "                    venue  freq\n",
      "0      Falafel Restaurant   0.2\n",
      "1          Massage Studio   0.2\n",
      "2             Coffee Shop   0.2\n",
      "3  Furniture / Home Store   0.2\n",
      "4                     Bar   0.2\n",
      "\n",
      "\n",
      "----Parkdale,Roncesvalles----\n",
      "            venue  freq\n",
      "0  Breakfast Spot  0.13\n",
      "1       Gift Shop  0.13\n",
      "2      Restaurant  0.07\n",
      "3         Dog Run  0.07\n",
      "4       Bookstore  0.07\n",
      "\n",
      "\n",
      "----Parkwoods----\n",
      "                  venue  freq\n",
      "0  Fast Food Restaurant  0.25\n",
      "1                  Park  0.25\n",
      "2                  Pool  0.25\n",
      "3     Food & Drink Shop  0.25\n",
      "4         Metro Station  0.00\n",
      "\n",
      "\n",
      "----Queen's Park----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.23\n",
      "1                  Gym  0.05\n",
      "2  Japanese Restaurant  0.05\n",
      "3                Diner  0.05\n",
      "4          Yoga Studio  0.03\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "           venue  freq\n",
      "0           Park  0.50\n",
      "1     Playground  0.25\n",
      "2          Trail  0.25\n",
      "3    Yoga Studio  0.00\n",
      "4  Metro Station  0.00\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "                             venue  freq\n",
      "0                           Garden   1.0\n",
      "1               Mexican Restaurant   0.0\n",
      "2              Monument / Landmark   0.0\n",
      "3  Molecular Gastronomy Restaurant   0.0\n",
      "4       Modern European Restaurant   0.0\n",
      "\n",
      "\n",
      "----Rouge,Malvern----\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             venue  freq\n",
      "0             Fast Food Restaurant   1.0\n",
      "1                    Metro Station   0.0\n",
      "2  Molecular Gastronomy Restaurant   0.0\n",
      "3       Modern European Restaurant   0.0\n",
      "4                Mobile Phone Shop   0.0\n",
      "\n",
      "\n",
      "----Runnymede,Swansea----\n",
      "              venue  freq\n",
      "0              Café  0.10\n",
      "1       Pizza Place  0.08\n",
      "2       Coffee Shop  0.08\n",
      "3  Sushi Restaurant  0.05\n",
      "4               Gym  0.05\n",
      "\n",
      "\n",
      "----Ryerson,Garden District----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.08\n",
      "1             Clothing Store  0.07\n",
      "2             Cosmetics Shop  0.04\n",
      "3                       Café  0.04\n",
      "4  Middle Eastern Restaurant  0.03\n",
      "\n",
      "\n",
      "----Scarborough Village----\n",
      "                             venue  freq\n",
      "0                Convenience Store   0.5\n",
      "1                       Playground   0.5\n",
      "2               Mexican Restaurant   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Silver Hills,York Mills----\n",
      "                             venue  freq\n",
      "0                        Cafeteria   0.5\n",
      "1                             Park   0.5\n",
      "2               Mexican Restaurant   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.08\n",
      "1      Restaurant  0.05\n",
      "2            Café  0.05\n",
      "3           Hotel  0.05\n",
      "4  Cosmetics Shop  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes 25 The Esplanade----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1          Restaurant  0.04\n",
      "2                Café  0.04\n",
      "3  Seafood Restaurant  0.03\n",
      "4               Hotel  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0                 Café  0.11\n",
      "1          Coffee Shop  0.08\n",
      "2  American Restaurant  0.05\n",
      "3               Bakery  0.05\n",
      "4   Italian Restaurant  0.05\n",
      "\n",
      "\n",
      "----The Annex,North Midtown,Yorkville----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.12\n",
      "1            Café  0.12\n",
      "2  Sandwich Place  0.12\n",
      "3     Pizza Place  0.08\n",
      "4  History Museum  0.04\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                             venue  freq\n",
      "0                              Pub  0.25\n",
      "1                Health Food Store  0.25\n",
      "2                      Music Venue  0.25\n",
      "3               Mexican Restaurant  0.00\n",
      "4  Molecular Gastronomy Restaurant  0.00\n",
      "\n",
      "\n",
      "----The Beaches West,India Bazaar----\n",
      "                  venue  freq\n",
      "0                  Park  0.09\n",
      "1        Sandwich Place  0.09\n",
      "2             Pet Store  0.05\n",
      "3    Italian Restaurant  0.05\n",
      "4  Fast Food Restaurant  0.05\n",
      "\n",
      "\n",
      "----The Danforth West,Riverdale----\n",
      "                venue  freq\n",
      "0    Greek Restaurant  0.18\n",
      "1         Coffee Shop  0.09\n",
      "2      Ice Cream Shop  0.07\n",
      "3  Italian Restaurant  0.05\n",
      "4           Bookstore  0.05\n",
      "\n",
      "\n",
      "----The Junction North,Runnymede----\n",
      "                  venue  freq\n",
      "0              Bus Line  0.25\n",
      "1         Grocery Store  0.25\n",
      "2  Caribbean Restaurant  0.25\n",
      "3     Convenience Store  0.25\n",
      "4           Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----The Kingsway,Montgomery Road,Old Mill North----\n",
      "                             venue  freq\n",
      "0                             Park   0.5\n",
      "1                            River   0.5\n",
      "2                      Yoga Studio   0.0\n",
      "3               Mexican Restaurant   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Thorncliffe Park----\n",
      "                 venue  freq\n",
      "0       Sandwich Place  0.12\n",
      "1    Indian Restaurant  0.12\n",
      "2          Yoga Studio  0.06\n",
      "3  Housing Development  0.06\n",
      "4          Pizza Place  0.06\n",
      "\n",
      "\n",
      "----Victoria Village----\n",
      "                      venue  freq\n",
      "0               Pizza Place  0.25\n",
      "1               Coffee Shop  0.25\n",
      "2              Hockey Arena  0.25\n",
      "3     Portuguese Restaurant  0.25\n",
      "4  Mediterranean Restaurant  0.00\n",
      "\n",
      "\n",
      "----Westmount----\n",
      "                venue  freq\n",
      "0         Pizza Place  0.29\n",
      "1         Coffee Shop  0.14\n",
      "2        Intersection  0.14\n",
      "3      Sandwich Place  0.14\n",
      "4  Chinese Restaurant  0.14\n",
      "\n",
      "\n",
      "----Weston----\n",
      "                             venue  freq\n",
      "0                             Park   1.0\n",
      "1                      Yoga Studio   0.0\n",
      "2                    Metro Station   0.0\n",
      "3  Molecular Gastronomy Restaurant   0.0\n",
      "4       Modern European Restaurant   0.0\n",
      "\n",
      "\n",
      "----Willowdale South----\n",
      "              venue  freq\n",
      "0  Ramen Restaurant  0.09\n",
      "1       Coffee Shop  0.09\n",
      "2    Sandwich Place  0.06\n",
      "3              Café  0.06\n",
      "4        Restaurant  0.06\n",
      "\n",
      "\n",
      "----Willowdale West----\n",
      "           venue  freq\n",
      "0       Pharmacy   0.2\n",
      "1  Grocery Store   0.2\n",
      "2        Butcher   0.2\n",
      "3    Coffee Shop   0.2\n",
      "4    Pizza Place   0.2\n",
      "\n",
      "\n",
      "----Woburn----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.50\n",
      "1     Insurance Office  0.25\n",
      "2    Korean Restaurant  0.25\n",
      "3                Motel  0.00\n",
      "4  Monument / Landmark  0.00\n",
      "\n",
      "\n",
      "----Woodbine Gardens,Parkview Hill----\n",
      "                  venue  freq\n",
      "0           Pizza Place  0.15\n",
      "1  Fast Food Restaurant  0.15\n",
      "2             Pet Store  0.08\n",
      "3             Gastropub  0.08\n",
      "4              Pharmacy  0.08\n",
      "\n",
      "\n",
      "----Woodbine Heights----\n",
      "              venue  freq\n",
      "0  Asian Restaurant  0.14\n",
      "1    Cosmetics Shop  0.14\n",
      "2        Beer Store  0.14\n",
      "3      Skating Rink  0.14\n",
      "4       Curling Ice  0.14\n",
      "\n",
      "\n",
      "----York Mills West----\n",
      "                             venue  freq\n",
      "0                             Bank  0.33\n",
      "1                             Park  0.33\n",
      "2                Electronics Store  0.33\n",
      "3                      Yoga Studio  0.00\n",
      "4  Molecular Gastronomy Restaurant  0.00\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in manhattan_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = manhattan_grouped[manhattan_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide,King,Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agincourt North,L'Amoreaux East,Milliken,Steel...</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Albion Gardens,Beaumond Heights,Humbergate,Jam...</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alderwood,Long Branch</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                             Adelaide,King,Richmond           Coffee Shop   \n",
       "1                                          Agincourt                Lounge   \n",
       "2  Agincourt North,L'Amoreaux East,Milliken,Steel...                  Park   \n",
       "3  Albion Gardens,Beaumond Heights,Humbergate,Jam...         Grocery Store   \n",
       "4                              Alderwood,Long Branch           Pizza Place   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café       Thai Restaurant   American Restaurant   \n",
       "1        Breakfast Spot        Sandwich Place          Skating Rink   \n",
       "2           Coffee Shop            Playground               Dog Run   \n",
       "3            Beer Store   Fried Chicken Joint  Fast Food Restaurant   \n",
       "4                   Gym           Coffee Shop    Athletics & Sports   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0            Steakhouse                   Gym                Bakery   \n",
       "1    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "2         Deli / Bodega      Department Store          Dessert Shop   \n",
       "3              Pharmacy           Pizza Place        Sandwich Place   \n",
       "4          Skating Rink              Pharmacy                   Pub   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0                   Bar                 Hotel           Burger Joint  \n",
       "1               Dog Run      Doner Restaurant             Donut Shop  \n",
       "2    Dim Sum Restaurant                 Diner         Discount Store  \n",
       "3           Coffee Shop        Airport Lounge     Falafel Restaurant  \n",
       "4        Sandwich Place                  Pool          Women's Store  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = manhattan_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(manhattan_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(manhattan_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Cluster Neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 4, 1, 1, 1, 1, 1, 1, 1], dtype=int32)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "manhattan_grouped_clustering = manhattan_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(manhattan_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
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       "      <th>Postcode</th>\n",
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       "  Postcode      Borough                         Neighbourhood   Latitude  \\\n",
       "0      M1B  Scarborough                         Rouge,Malvern  43.806686   \n",
       "1      M1C  Scarborough  Highland Creek,Rouge Hill,Port Union  43.784535   \n",
       "2      M1E  Scarborough       Guildwood,Morningside,West Hill  43.763573   \n",
       "3      M1G  Scarborough                                Woburn  43.770992   \n",
       "4      M1H  Scarborough                             Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.194353             4.0  Fast Food Restaurant         Women's Store   \n",
       "1 -79.160497             3.0                   Bar         Women's Store   \n",
       "2 -79.188711             1.0        Breakfast Spot        Medical Center   \n",
       "3 -79.216917             1.0           Coffee Shop      Insurance Office   \n",
       "4 -79.239476             1.0      Hakka Restaurant   Fried Chicken Joint   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0      Doner Restaurant      Department Store          Dessert Shop   \n",
       "1            Donut Shop          Dessert Shop    Dim Sum Restaurant   \n",
       "2   Rental Car Location          Intersection    Mexican Restaurant   \n",
       "3     Korean Restaurant      Doner Restaurant      Department Store   \n",
       "4       Thai Restaurant  Caribbean Restaurant                Bakery   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "1                 Diner        Discount Store               Dog Run   \n",
       "2     Electronics Store           Pizza Place                   Spa   \n",
       "3          Dessert Shop    Dim Sum Restaurant                 Diner   \n",
       "4                  Bank    Athletics & Sports   Dumpling Restaurant   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "0               Dog Run             Donut Shop  \n",
       "1      Doner Restaurant              Drugstore  \n",
       "2            Donut Shop       Doner Restaurant  \n",
       "3        Discount Store                Dog Run  \n",
       "4             Drugstore             Donut Shop  "
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     },
     "execution_count": 32,
     "metadata": {},
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   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "manhattan_merged = Toronto_data\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "manhattan_merged = manhattan_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighbourhood')\n",
    "\n",
    "manhattan_merged.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "manhattan_merged = manhattan_merged.dropna(subset=['Cluster Labels'])"
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   "cell_type": "code",
   "execution_count": 47,
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            circle_marker_983d0010f898481bbe2d3d7e44e73ed6.bindPopup(popup_831c61bc9cf7478ab2cdda5bfb942e4d)
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            circle_marker_3b9893b93a234c6ca2871ddf4e163feb.bindPopup(popup_31ed23009470413e8783e6ef914960be)
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                var html_ac983d82b1af4b27baa38697604423c8 = $(`<div id="html_ac983d82b1af4b27baa38697604423c8" style="width: 100.0%; height: 100.0%;">Parkwoods Cluster 4</div>`)[0];
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                var html_f177c0196bef41e3987424e15b2683bf = $(`<div id="html_f177c0196bef41e3987424e15b2683bf" style="width: 100.0%; height: 100.0%;">Don Mills North Cluster 1</div>`)[0];
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            circle_marker_034e164e67fa4813a252af8a221c3ad2.bindPopup(popup_2324f65cdb8641c5984ba5e5a6b388c9)
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}
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}
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}
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}
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}
                )
                .addTo(map_ae70c006183f43bd90930450377b325c);
            
    
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                var html_4ca0ab3a7691428cb2249698e0f5cbfa = $(`<div id="html_4ca0ab3a7691428cb2249698e0f5cbfa" style="width: 100.0%; height: 100.0%;">Adelaide,King,Richmond Cluster 1</div>`)[0];
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            circle_marker_ce35ed5cd27140a6b8f48dd811db8bfa.bindPopup(popup_ec46a9dc4db64c27aba20d491090cc64)
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}
                )
                .addTo(map_ae70c006183f43bd90930450377b325c);
            
    
            var popup_e1fdc3fc570e46718c7a2950f48a2bf1 = L.popup({maxWidth: '100%'
            
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                var html_68b5478e8a054c83a57f845826a33733 = $(`<div id="html_68b5478e8a054c83a57f845826a33733" style="width: 100.0%; height: 100.0%;">Harbourfront East,Toronto Islands,Union Station Cluster 1</div>`)[0];
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            circle_marker_4333c7a29db849e6bc854c6ef9de2e93.bindPopup(popup_e1fdc3fc570e46718c7a2950f48a2bf1)
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}
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                .addTo(map_ae70c006183f43bd90930450377b325c);
            
    
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                var html_3538418b42eb41bdb7a3d122848d101a = $(`<div id="html_3538418b42eb41bdb7a3d122848d101a" style="width: 100.0%; height: 100.0%;">Design Exchange,Toronto Dominion Centre Cluster 1</div>`)[0];
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            circle_marker_9834f74d50324dc7bbeb50f3af9aeed8.bindPopup(popup_71c4433a09c04ae8824f65d7eac4ff4b)
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}
                )
                .addTo(map_ae70c006183f43bd90930450377b325c);
            
    
            var popup_ec923dc116c24a5c90d41309f4c4cd88 = L.popup({maxWidth: '100%'
            
            });

            
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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 0x1a1bdfbda0>"
      ]
     },
     "execution_count": 47,
     "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=10)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(manhattan_merged['Latitude'], manhattan_merged['Longitude'], manhattan_merged['Neighbourhood'], manhattan_merged['Cluster Labels']):\n",
    "\n",
    "    cluster = int(cluster)\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Motel</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "8  Scarborough             0.0                 Motel   American Restaurant   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "8          Dance Studio      Department Store          Dessert Shop   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "8    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "8               Dog Run       Doner Restaurant  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 0, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Insurance Office</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>Park</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Café</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>College Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Frozen Yogurt Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Moving Target</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>East York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Rock Climbing Spot</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>East York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Curling Ice</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Colombian Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>East York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>East York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Housing Development</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>College Gym</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Record Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Boutique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Arcade</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Field</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Pool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Mississauga</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Skate Park</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Auto Workshop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Supplement Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>North York</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>82 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough  Cluster Labels       1st Most Common Venue  \\\n",
       "2         Scarborough             1.0              Breakfast Spot   \n",
       "3         Scarborough             1.0                 Coffee Shop   \n",
       "4         Scarborough             1.0            Hakka Restaurant   \n",
       "5         Scarborough             1.0                  Playground   \n",
       "6         Scarborough             1.0                 Bus Station   \n",
       "7         Scarborough             1.0                      Bakery   \n",
       "9         Scarborough             1.0             College Stadium   \n",
       "10        Scarborough             1.0           Indian Restaurant   \n",
       "11        Scarborough             1.0                      Bakery   \n",
       "12        Scarborough             1.0                      Lounge   \n",
       "13        Scarborough             1.0                 Pizza Place   \n",
       "15        Scarborough             1.0        Fast Food Restaurant   \n",
       "17         North York             1.0          Athletics & Sports   \n",
       "18         North York             1.0              Clothing Store   \n",
       "19         North York             1.0                        Bank   \n",
       "22         North York             1.0                 Coffee Shop   \n",
       "24         North York             1.0                    Pharmacy   \n",
       "26         North York             1.0        Gym / Fitness Center   \n",
       "27         North York             1.0                         Gym   \n",
       "28         North York             1.0                 Coffee Shop   \n",
       "29         North York             1.0          Falafel Restaurant   \n",
       "31         North York             1.0               Grocery Store   \n",
       "32         North York             1.0            Business Service   \n",
       "33         North York             1.0                Liquor Store   \n",
       "34         North York             1.0                Hockey Arena   \n",
       "35          East York             1.0        Fast Food Restaurant   \n",
       "36          East York             1.0                  Beer Store   \n",
       "37       East Toronto             1.0           Health Food Store   \n",
       "38          East York             1.0         Sporting Goods Shop   \n",
       "39          East York             1.0           Indian Restaurant   \n",
       "..                ...             ...                         ...   \n",
       "66   Downtown Toronto             1.0                        Café   \n",
       "67   Downtown Toronto             1.0                        Café   \n",
       "68   Downtown Toronto             1.0             Airport Service   \n",
       "69   Downtown Toronto             1.0                 Coffee Shop   \n",
       "70   Downtown Toronto             1.0                        Café   \n",
       "71         North York             1.0      Furniture / Home Store   \n",
       "72         North York             1.0                      Bakery   \n",
       "73               York             1.0                       Trail   \n",
       "75   Downtown Toronto             1.0               Grocery Store   \n",
       "76       West Toronto             1.0                 Supermarket   \n",
       "77       West Toronto             1.0                         Bar   \n",
       "78       West Toronto             1.0                 Coffee Shop   \n",
       "80               York             1.0           Convenience Store   \n",
       "81               York             1.0           Convenience Store   \n",
       "82       West Toronto             1.0                        Café   \n",
       "83       West Toronto             1.0                   Gift Shop   \n",
       "84       West Toronto             1.0                        Café   \n",
       "85       Queen's Park             1.0                 Coffee Shop   \n",
       "86        Mississauga             1.0                 Coffee Shop   \n",
       "87       East Toronto             1.0          Light Rail Station   \n",
       "88          Etobicoke             1.0                  Restaurant   \n",
       "89          Etobicoke             1.0                 Pizza Place   \n",
       "91          Etobicoke             1.0              Baseball Field   \n",
       "92          Etobicoke             1.0               Grocery Store   \n",
       "94          Etobicoke             1.0                        Bank   \n",
       "95          Etobicoke             1.0                  Beer Store   \n",
       "96         North York             1.0                 Pizza Place   \n",
       "97         North York             1.0  Construction & Landscaping   \n",
       "99          Etobicoke             1.0                 Pizza Place   \n",
       "101         Etobicoke             1.0               Grocery Store   \n",
       "\n",
       "             2nd Most Common Venue      3rd Most Common Venue  \\\n",
       "2                   Medical Center        Rental Car Location   \n",
       "3                 Insurance Office          Korean Restaurant   \n",
       "4              Fried Chicken Joint            Thai Restaurant   \n",
       "5                Convenience Store              Women's Store   \n",
       "6                 Department Store                Coffee Shop   \n",
       "7                         Bus Line               Soccer Field   \n",
       "9                             Café               Skating Rink   \n",
       "10           Vietnamese Restaurant  Latin American Restaurant   \n",
       "11                     Auto Garage                 Smoke Shop   \n",
       "12                  Breakfast Spot             Sandwich Place   \n",
       "13             Rental Car Location               Noodle House   \n",
       "15                   Grocery Store         Chinese Restaurant   \n",
       "17                         Dog Run                Golf Course   \n",
       "18            Fast Food Restaurant                Coffee Shop   \n",
       "19              Chinese Restaurant                       Café   \n",
       "22                Ramen Restaurant           Sushi Restaurant   \n",
       "24                         Butcher                Pizza Place   \n",
       "26                            Café        Japanese Restaurant   \n",
       "27                Asian Restaurant                Coffee Shop   \n",
       "28              Frozen Yogurt Shop                      Diner   \n",
       "29                  Massage Studio     Furniture / Home Store   \n",
       "31                            Bank              Moving Target   \n",
       "32                      Food Truck             Baseball Field   \n",
       "33              Athletics & Sports             Discount Store   \n",
       "34                     Coffee Shop                Pizza Place   \n",
       "35                     Pizza Place                  Pet Store   \n",
       "36                  Cosmetics Shop               Skating Rink   \n",
       "37                     Music Venue                        Pub   \n",
       "38                     Coffee Shop     Furniture / Home Store   \n",
       "39                  Sandwich Place                Yoga Studio   \n",
       "..                             ...                        ...   \n",
       "66                       Bookstore                 Restaurant   \n",
       "67   Vegetarian / Vegan Restaurant                        Bar   \n",
       "68                  Airport Lounge           Airport Terminal   \n",
       "69                      Restaurant                       Café   \n",
       "70                     Coffee Shop                      Hotel   \n",
       "71                  Clothing Store              Women's Store   \n",
       "72                          Arcade        Japanese Restaurant   \n",
       "73                           Field               Hockey Arena   \n",
       "75                            Café                       Park   \n",
       "76                          Bakery                   Pharmacy   \n",
       "77                Asian Restaurant                Coffee Shop   \n",
       "78                            Café             Breakfast Spot   \n",
       "80                  Sandwich Place             Discount Store   \n",
       "81                   Grocery Store                   Bus Line   \n",
       "82              Mexican Restaurant                        Bar   \n",
       "83                  Breakfast Spot                 Restaurant   \n",
       "84                     Pizza Place                Coffee Shop   \n",
       "85                             Gym                      Diner   \n",
       "86                           Hotel       Gym / Fitness Center   \n",
       "87                     Yoga Studio                     Garden   \n",
       "88             Fried Chicken Joint       Fast Food Restaurant   \n",
       "89                             Gym                Coffee Shop   \n",
       "91                   Women's Store                 Donut Shop   \n",
       "92          Thrift / Vintage Store          Convenience Store   \n",
       "94                     Golf Course                 Donut Shop   \n",
       "95                    Liquor Store                   Pharmacy   \n",
       "96             Empanada Restaurant              Women's Store   \n",
       "97                  Baseball Field                  Drugstore   \n",
       "99                    Intersection                Coffee Shop   \n",
       "101                     Beer Store        Fried Chicken Joint   \n",
       "\n",
       "         4th Most Common Venue        5th Most Common Venue  \\\n",
       "2                 Intersection           Mexican Restaurant   \n",
       "3             Doner Restaurant             Department Store   \n",
       "4         Caribbean Restaurant                       Bakery   \n",
       "5                      Dog Run             Department Store   \n",
       "6               Discount Store             Doner Restaurant   \n",
       "7                         Park                 Intersection   \n",
       "9        General Entertainment                Women's Store   \n",
       "10          Chinese Restaurant                    Pet Store   \n",
       "11               Shopping Mall               Breakfast Spot   \n",
       "12                Skating Rink           Dim Sum Restaurant   \n",
       "13          Italian Restaurant          Fried Chicken Joint   \n",
       "15                 Coffee Shop            Electronics Store   \n",
       "17        Fast Food Restaurant                         Pool   \n",
       "18                    Tea Room                  Bus Station   \n",
       "19         Japanese Restaurant           Dim Sum Restaurant   \n",
       "22              Sandwich Place                         Café   \n",
       "24                 Coffee Shop                Grocery Store   \n",
       "26        Caribbean Restaurant                Women's Store   \n",
       "27                  Beer Store                Grocery Store   \n",
       "28              Sandwich Place                  Bridal Shop   \n",
       "29                         Bar                  Coffee Shop   \n",
       "31               Shopping Mall  Eastern European Restaurant   \n",
       "32           Korean Restaurant                   Donut Shop   \n",
       "33        Gym / Fitness Center                Grocery Store   \n",
       "34       Portuguese Restaurant             Doner Restaurant   \n",
       "35          Athletics & Sports           Rock Climbing Spot   \n",
       "36            Asian Restaurant                  Curling Ice   \n",
       "37               Women's Store                      Dog Run   \n",
       "38                Burger Joint                   Beer Store   \n",
       "39                 Supermarket                Grocery Store   \n",
       "..                         ...                          ...   \n",
       "66         Japanese Restaurant                          Bar   \n",
       "67         Dumpling Restaurant                       Bakery   \n",
       "68               Boat or Ferry              Harbor / Marina   \n",
       "69                       Hotel           Seafood Restaurant   \n",
       "70         American Restaurant                   Steakhouse   \n",
       "71                   Gift Shop                     Boutique   \n",
       "72                         Pub                Women's Store   \n",
       "73            Doner Restaurant             Department Store   \n",
       "75           Convenience Store                        Diner   \n",
       "76   Middle Eastern Restaurant                         Café   \n",
       "77                Cocktail Bar                   Restaurant   \n",
       "78       Performing Arts Venue                          Bar   \n",
       "80                         Bar                   Donut Shop   \n",
       "81        Caribbean Restaurant                Women's Store   \n",
       "82               Grocery Store       Furniture / Home Store   \n",
       "83                        Bank                    Bookstore   \n",
       "84            Sushi Restaurant                          Gym   \n",
       "85         Japanese Restaurant         Fast Food Restaurant   \n",
       "86               Burrito Place     Mediterranean Restaurant   \n",
       "87                  Skate Park                      Brewery   \n",
       "88              Sandwich Place                  Flower Shop   \n",
       "89          Athletics & Sports                 Skating Rink   \n",
       "91                Dessert Shop           Dim Sum Restaurant   \n",
       "92               Burrito Place                 Burger Joint   \n",
       "94                Dessert Shop           Dim Sum Restaurant   \n",
       "95                 Pizza Place                         Café   \n",
       "96                     Dog Run             Department Store   \n",
       "97          Dim Sum Restaurant                        Diner   \n",
       "99              Sandwich Place    Middle Eastern Restaurant   \n",
       "101       Fast Food Restaurant                     Pharmacy   \n",
       "\n",
       "         6th Most Common Venue        7th Most Common Venue  \\\n",
       "2            Electronics Store                  Pizza Place   \n",
       "3                 Dessert Shop           Dim Sum Restaurant   \n",
       "4                         Bank           Athletics & Sports   \n",
       "5                 Dessert Shop           Dim Sum Restaurant   \n",
       "6                 Dessert Shop           Dim Sum Restaurant   \n",
       "7         Fast Food Restaurant                Metro Station   \n",
       "9             Doner Restaurant                 Dessert Shop   \n",
       "10             College Stadium                Deli / Bodega   \n",
       "11   Middle Eastern Restaurant               Sandwich Place   \n",
       "12                       Diner               Discount Store   \n",
       "13             Thai Restaurant           Chinese Restaurant   \n",
       "15         Japanese Restaurant               Sandwich Place   \n",
       "17    Mediterranean Restaurant             Department Store   \n",
       "18         Japanese Restaurant                Jewelry Store   \n",
       "19                       Diner               Discount Store   \n",
       "22                  Restaurant                  Pizza Place   \n",
       "24                     Airport                Deli / Bodega   \n",
       "26                     Dog Run                 Dessert Shop   \n",
       "27          Dim Sum Restaurant           Italian Restaurant   \n",
       "28        Fast Food Restaurant                         Bank   \n",
       "29         Empanada Restaurant            Electronics Store   \n",
       "31         Dumpling Restaurant                    Drugstore   \n",
       "32          Dim Sum Restaurant                        Diner   \n",
       "33                Gourmet Shop                  Event Space   \n",
       "34            Department Store                 Dessert Shop   \n",
       "35                        Bank                    Gastropub   \n",
       "36                        Park                     Pharmacy   \n",
       "37            Department Store                 Dessert Shop   \n",
       "38           Fish & Chips Shop                   Bagel Shop   \n",
       "39        Gym / Fitness Center          Housing Development   \n",
       "..                         ...                          ...   \n",
       "66                      Bakery                  College Gym   \n",
       "67          Mexican Restaurant                  Coffee Shop   \n",
       "68                       Plane                      Airport   \n",
       "69                Cocktail Bar                     Beer Bar   \n",
       "70          Seafood Restaurant                Deli / Bodega   \n",
       "71          Miscellaneous Shop          Arts & Crafts Store   \n",
       "72                Dessert Shop           Dim Sum Restaurant   \n",
       "73                Dessert Shop           Dim Sum Restaurant   \n",
       "75          Italian Restaurant                   Baby Store   \n",
       "76                Liquor Store                         Bank   \n",
       "77       Vietnamese Restaurant                       Bakery   \n",
       "78                         Gym       Furniture / Home Store   \n",
       "80          Dim Sum Restaurant                        Diner   \n",
       "81                Dessert Shop           Dim Sum Restaurant   \n",
       "82                        Park                  Music Venue   \n",
       "83          Italian Restaurant  Eastern European Restaurant   \n",
       "84          Italian Restaurant                          Pub   \n",
       "85          Mexican Restaurant                 Liquor Store   \n",
       "86              Sandwich Place          Fried Chicken Joint   \n",
       "87              Farmers Market         Fast Food Restaurant   \n",
       "88         American Restaurant           Mexican Restaurant   \n",
       "89                    Pharmacy                          Pub   \n",
       "91                       Diner               Discount Store   \n",
       "92              Discount Store               Sandwich Place   \n",
       "94                       Diner               Discount Store   \n",
       "95           Convenience Store             Doner Restaurant   \n",
       "96                Dessert Shop           Dim Sum Restaurant   \n",
       "97              Discount Store                      Dog Run   \n",
       "99          Chinese Restaurant               Discount Store   \n",
       "101                Pizza Place               Sandwich Place   \n",
       "\n",
       "           8th Most Common Venue        9th Most Common Venue  \\\n",
       "2                            Spa                   Donut Shop   \n",
       "3                          Diner               Discount Store   \n",
       "4            Dumpling Restaurant                    Drugstore   \n",
       "5                          Diner               Discount Store   \n",
       "6                          Diner                      Dog Run   \n",
       "7             Dim Sum Restaurant                        Diner   \n",
       "9             Dim Sum Restaurant                        Diner   \n",
       "10             Electronics Store  Eastern European Restaurant   \n",
       "11                 Women's Store           Dim Sum Restaurant   \n",
       "12                       Dog Run             Doner Restaurant   \n",
       "13          Fast Food Restaurant                     Pharmacy   \n",
       "15                Breakfast Spot                  Pizza Place   \n",
       "17                  Dessert Shop           Dim Sum Restaurant   \n",
       "18              Asian Restaurant                    Juice Bar   \n",
       "19                       Dog Run             Doner Restaurant   \n",
       "22          Fast Food Restaurant               Ice Cream Shop   \n",
       "24          Ethiopian Restaurant          Empanada Restaurant   \n",
       "26            Dim Sum Restaurant                        Diner   \n",
       "27           Japanese Restaurant               Discount Store   \n",
       "28                 Deli / Bodega                   Restaurant   \n",
       "29   Eastern European Restaurant          Dumpling Restaurant   \n",
       "31                    Donut Shop            Electronics Store   \n",
       "32                Discount Store                      Dog Run   \n",
       "33           Empanada Restaurant            Electronics Store   \n",
       "34            Dim Sum Restaurant                        Diner   \n",
       "35                  Intersection               Breakfast Spot   \n",
       "36          Colombian Restaurant                 Dessert Shop   \n",
       "37            Dim Sum Restaurant                        Diner   \n",
       "38                          Bank                   Sports Bar   \n",
       "39                  Liquor Store                  Coffee Shop   \n",
       "..                           ...                          ...   \n",
       "66            Chinese Restaurant               Sandwich Place   \n",
       "67            Chinese Restaurant        Vietnamese Restaurant   \n",
       "68            Airport Food Court                 Airport Gate   \n",
       "69                          Park               Farmers Market   \n",
       "70                        Bakery                   Restaurant   \n",
       "71                   Event Space            Accessories Store   \n",
       "72                         Diner               Discount Store   \n",
       "73                         Diner               Discount Store   \n",
       "75            Athletics & Sports                   Restaurant   \n",
       "76                           Bar               Discount Store   \n",
       "77                   Pizza Place                  Men's Store   \n",
       "78            Italian Restaurant            Convenience Store   \n",
       "80                       Dog Run             Doner Restaurant   \n",
       "81                         Diner               Discount Store   \n",
       "82     Cajun / Creole Restaurant                        Diner   \n",
       "83                   Coffee Shop                 Dessert Shop   \n",
       "84                Ice Cream Shop          Indie Movie Theater   \n",
       "85         Portuguese Restaurant                         Café   \n",
       "86           American Restaurant               Discount Store   \n",
       "87                 Burrito Place                   Restaurant   \n",
       "88                   Pizza Place                     Pharmacy   \n",
       "89                Sandwich Place                         Pool   \n",
       "91                       Dog Run             Doner Restaurant   \n",
       "92          Fast Food Restaurant                       Bakery   \n",
       "94                       Dog Run             Doner Restaurant   \n",
       "95                  Dessert Shop           Dim Sum Restaurant   \n",
       "96                         Diner               Discount Store   \n",
       "97              Doner Restaurant                   Donut Shop   \n",
       "99              Department Store                 Dessert Shop   \n",
       "101                  Coffee Shop               Airport Lounge   \n",
       "\n",
       "          10th Most Common Venue  \n",
       "2               Doner Restaurant  \n",
       "3                        Dog Run  \n",
       "4                     Donut Shop  \n",
       "5               Doner Restaurant  \n",
       "6                  Women's Store  \n",
       "7                 Discount Store  \n",
       "9                 Discount Store  \n",
       "10                   College Gym  \n",
       "11                         Diner  \n",
       "12                    Donut Shop  \n",
       "13                       Dog Run  \n",
       "15                      Pharmacy  \n",
       "17                         Diner  \n",
       "18                    Restaurant  \n",
       "19                 Women's Store  \n",
       "22                    Steakhouse  \n",
       "24             Electronics Store  \n",
       "26                Discount Store  \n",
       "27           Sporting Goods Shop  \n",
       "28                   Supermarket  \n",
       "29              Department Store  \n",
       "31                 Deli / Bodega  \n",
       "32              Doner Restaurant  \n",
       "33   Eastern European Restaurant  \n",
       "34                Discount Store  \n",
       "35                      Pharmacy  \n",
       "36           Empanada Restaurant  \n",
       "37                Discount Store  \n",
       "38                  Dessert Shop  \n",
       "39                      Pharmacy  \n",
       "..                           ...  \n",
       "66                    Beer Store  \n",
       "67                   Record Shop  \n",
       "68                      Boutique  \n",
       "69                        Bakery  \n",
       "70                           Bar  \n",
       "71         Vietnamese Restaurant  \n",
       "72                       Dog Run  \n",
       "73                       Dog Run  \n",
       "75                   Coffee Shop  \n",
       "76                          Pool  \n",
       "77                          Café  \n",
       "78                     Pet Store  \n",
       "80                 Women's Store  \n",
       "81                       Dog Run  \n",
       "82                     Bookstore  \n",
       "83                       Dog Run  \n",
       "84             Fish & Chips Shop  \n",
       "85                           Bar  \n",
       "86                  Dessert Shop  \n",
       "87                 Auto Workshop  \n",
       "88                     Pet Store  \n",
       "89                 Women's Store  \n",
       "91                     Drugstore  \n",
       "92               Supplement Shop  \n",
       "94                 Women's Store  \n",
       "95                         Diner  \n",
       "96                    Donut Shop  \n",
       "97                 Women's Store  \n",
       "99            Dim Sum Restaurant  \n",
       "101           Falafel Restaurant  \n",
       "\n",
       "[82 rows x 12 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 1, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
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       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
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       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
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       "      <th>63</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Garden</td>\n",
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       "      <td>Dance Studio</td>\n",
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      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "63  Central Toronto             2.0                Garden   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "63         Women's Store               Dog Run      Department Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "63          Dessert Shop    Dim Sum Restaurant                 Diner   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "63        Discount Store      Doner Restaurant           Dance Studio  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
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    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 2, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
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  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
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       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
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       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
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      "text/plain": [
       "         Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "1    Scarborough             3.0                   Bar         Women's Store   \n",
       "102    Etobicoke             3.0   Rental Car Location                   Bar   \n",
       "\n",
       "    3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "1              Donut Shop          Dessert Shop    Dim Sum Restaurant   \n",
       "102             Drugstore         Women's Store      Doner Restaurant   \n",
       "\n",
       "    6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "1                   Diner        Discount Store               Dog Run   \n",
       "102          Dessert Shop    Dim Sum Restaurant                 Diner   \n",
       "\n",
       "    9th Most Common Venue 10th Most Common Venue  \n",
       "1        Doner Restaurant              Drugstore  \n",
       "102        Discount Store                Dog Run  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 3, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
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       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
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       "      <th>0</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
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       "      <td>Dessert Shop</td>\n",
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       "      <td>Dog Run</td>\n",
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       "      <th>14</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>North York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Cafeteria</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>North York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Park</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>North York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>North York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Snack Place</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>East York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Curling Ice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Market</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Gluten-free Restaurant</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>North York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Park</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>River</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>York</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough  Cluster Labels       1st Most Common Venue  \\\n",
       "0         Scarborough             4.0        Fast Food Restaurant   \n",
       "14        Scarborough             4.0                        Park   \n",
       "20         North York             4.0                        Park   \n",
       "23         North York             4.0                        Bank   \n",
       "25         North York             4.0                        Park   \n",
       "30         North York             4.0                        Park   \n",
       "40          East York             4.0                        Park   \n",
       "44    Central Toronto             4.0                        Park   \n",
       "50   Downtown Toronto             4.0                        Park   \n",
       "74               York             4.0                        Park   \n",
       "79         North York             4.0  Construction & Landscaping   \n",
       "90          Etobicoke             4.0                        Park   \n",
       "98               York             4.0                        Park   \n",
       "100         Etobicoke             4.0                        Park   \n",
       "\n",
       "    2nd Most Common Venue       3rd Most Common Venue  \\\n",
       "0           Women's Store            Doner Restaurant   \n",
       "14            Coffee Shop                  Playground   \n",
       "20              Cafeteria               Women's Store   \n",
       "23                   Park           Electronics Store   \n",
       "25   Fast Food Restaurant           Food & Drink Shop   \n",
       "30            Snack Place                     Airport   \n",
       "40      Convenience Store               Metro Station   \n",
       "44            Swim School  Construction & Landscaping   \n",
       "50             Playground                       Trail   \n",
       "74          Women's Store        Fast Food Restaurant   \n",
       "79                   Park              Massage Studio   \n",
       "90                  River               Women's Store   \n",
       "98          Women's Store                  Donut Shop   \n",
       "100     Mobile Phone Shop                 Pizza Place   \n",
       "\n",
       "           4th Most Common Venue 5th Most Common Venue  \\\n",
       "0               Department Store          Dessert Shop   \n",
       "14                       Dog Run         Deli / Bodega   \n",
       "20                       Dog Run      Department Store   \n",
       "23                    Donut Shop          Dessert Shop   \n",
       "25                          Pool         Women's Store   \n",
       "30              Doner Restaurant      Department Store   \n",
       "40                 Women's Store          Dessert Shop   \n",
       "44                      Bus Line     Electronics Store   \n",
       "50   Eastern European Restaurant   Dumpling Restaurant   \n",
       "74                        Market              Pharmacy   \n",
       "79                        Bakery            Donut Shop   \n",
       "90                Discount Store         Deli / Bodega   \n",
       "98                  Dessert Shop    Dim Sum Restaurant   \n",
       "100                     Bus Line        Discount Store   \n",
       "\n",
       "           6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0             Dim Sum Restaurant                 Diner        Discount Store   \n",
       "14              Department Store          Dessert Shop    Dim Sum Restaurant   \n",
       "20                  Dessert Shop    Dim Sum Restaurant                 Diner   \n",
       "23            Dim Sum Restaurant                 Diner        Discount Store   \n",
       "25                Discount Store      Department Store          Dessert Shop   \n",
       "30                  Dessert Shop    Dim Sum Restaurant                 Diner   \n",
       "40            Dim Sum Restaurant                 Diner        Discount Store   \n",
       "44   Eastern European Restaurant   Dumpling Restaurant             Drugstore   \n",
       "50             Electronics Store             Drugstore            Donut Shop   \n",
       "74        Gluten-free Restaurant             Gift Shop          Gourmet Shop   \n",
       "79            Dim Sum Restaurant                 Diner        Discount Store   \n",
       "90              Department Store          Dessert Shop    Dim Sum Restaurant   \n",
       "98                         Diner        Discount Store               Dog Run   \n",
       "100             Department Store          Dessert Shop    Dim Sum Restaurant   \n",
       "\n",
       "    9th Most Common Venue 10th Most Common Venue  \n",
       "0                 Dog Run             Donut Shop  \n",
       "14                  Diner         Discount Store  \n",
       "20         Discount Store       Doner Restaurant  \n",
       "23                Dog Run       Doner Restaurant  \n",
       "25     Dim Sum Restaurant                  Diner  \n",
       "30         Discount Store                Dog Run  \n",
       "40                Dog Run       Doner Restaurant  \n",
       "44             Donut Shop       Doner Restaurant  \n",
       "50       Doner Restaurant            Curling Ice  \n",
       "74    Dumpling Restaurant              Drugstore  \n",
       "79                Dog Run       Doner Restaurant  \n",
       "90                  Diner                Dog Run  \n",
       "98       Doner Restaurant              Drugstore  \n",
       "100                 Diner                Dog Run  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "manhattan_merged.loc[manhattan_merged['Cluster Labels'] == 4, manhattan_merged.columns[[1] + list(range(5, manhattan_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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