clean_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "accredited-spencer",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_colwidth', 100)\n",
    "pd.set_option('display.max_rows', 999)\n",
    "pd.set_option('display.float_format', lambda x: '%.3f' % x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dimensional-consolidation",
   "metadata": {},
   "source": [
    "# Read in all CSV files and join into single dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dietary-alliance",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(104359, 76)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "import glob\n",
    "filenames = [i for i in glob.glob('data/*.csv')]\n",
    "\n",
    "data = []\n",
    "\n",
    "for f in filenames:\n",
    "    df = pd.read_csv(f)\n",
    "    df[\"filename\"] = f\n",
    "    df[\"city\"] = f[5:-4].replace('_', ' ')\n",
    "    data.append(df)\n",
    "    \n",
    "data = pd.concat(data, ignore_index=True)\n",
    "    \n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "worth-definition",
   "metadata": {},
   "source": [
    "# Remove duplicate records."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "contemporary-knock",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100778, 76)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data[data.duplicated(\"picture_url\", keep=\"first\") == False]\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "marked-rebecca",
   "metadata": {},
   "source": [
    "# Remove records without downloaded images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "multiple-delay",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(93256, 76)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images = set(i.split(\"\\\\\")[-1] for i in glob.glob('images/*'))\n",
    "data = data[data[\"picture_url\"].apply(lambda url: url.split(\"/\")[-1] in images)]\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "inner-millennium",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>listing_url</th>\n",
       "      <th>scrape_id</th>\n",
       "      <th>last_scraped</th>\n",
       "      <th>name</th>\n",
       "      <th>description</th>\n",
       "      <th>neighborhood_overview</th>\n",
       "      <th>picture_url</th>\n",
       "      <th>host_id</th>\n",
       "      <th>host_url</th>\n",
       "      <th>host_name</th>\n",
       "      <th>host_since</th>\n",
       "      <th>host_location</th>\n",
       "      <th>host_about</th>\n",
       "      <th>host_response_time</th>\n",
       "      <th>host_response_rate</th>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <th>host_is_superhost</th>\n",
       "      <th>host_thumbnail_url</th>\n",
       "      <th>host_picture_url</th>\n",
       "      <th>host_neighbourhood</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_total_listings_count</th>\n",
       "      <th>host_verifications</th>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>neighbourhood</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>property_type</th>\n",
       "      <th>room_type</th>\n",
       "      <th>accommodates</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bathrooms_text</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>beds</th>\n",
       "      <th>amenities</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>maximum_nights</th>\n",
       "      <th>minimum_minimum_nights</th>\n",
       "      <th>maximum_minimum_nights</th>\n",
       "      <th>minimum_maximum_nights</th>\n",
       "      <th>maximum_maximum_nights</th>\n",
       "      <th>minimum_nights_avg_ntm</th>\n",
       "      <th>maximum_nights_avg_ntm</th>\n",
       "      <th>calendar_updated</th>\n",
       "      <th>has_availability</th>\n",
       "      <th>availability_30</th>\n",
       "      <th>availability_60</th>\n",
       "      <th>availability_90</th>\n",
       "      <th>availability_365</th>\n",
       "      <th>calendar_last_scraped</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>number_of_reviews_ltm</th>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <th>first_review</th>\n",
       "      <th>last_review</th>\n",
       "      <th>review_scores_rating</th>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <th>review_scores_communication</th>\n",
       "      <th>review_scores_location</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>license</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>calculated_host_listings_count</th>\n",
       "      <th>calculated_host_listings_count_entire_homes</th>\n",
       "      <th>calculated_host_listings_count_private_rooms</th>\n",
       "      <th>calculated_host_listings_count_shared_rooms</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>filename</th>\n",
       "      <th>city</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25728</th>\n",
       "      <td>43895848</td>\n",
       "      <td>https://www.airbnb.com/rooms/43895848</td>\n",
       "      <td>20210207181900</td>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>Modern Home Near Burbank</td>\n",
       "      <td>Enjoy a quiet night's rest in a charming space fully renovated to adhere to a modern and luxurio...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://a0.muscache.com/pictures/d205c88a-6068-4422-8dcb-dc8fae386190.jpg</td>\n",
       "      <td>250312632</td>\n",
       "      <td>https://www.airbnb.com/users/show/250312632</td>\n",
       "      <td>Hoss</td>\n",
       "      <td>2019-03-21</td>\n",
       "      <td>Hidden Hills, California, United States</td>\n",
       "      <td>Follow and tag us on IG @airbnbofca\\n\\nHello, my name is Hoss. I've worked in real estate my ent...</td>\n",
       "      <td>within an hour</td>\n",
       "      <td>98%</td>\n",
       "      <td>99%</td>\n",
       "      <td>f</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/user/c3f81eb3-c879-485a-84d6-b7987924b816.jpg?aki_policy=pro...</td>\n",
       "      <td>https://a0.muscache.com/im/pictures/user/c3f81eb3-c879-485a-84d6-b7987924b816.jpg?aki_policy=pro...</td>\n",
       "      <td>Mission - Foothill</td>\n",
       "      <td>77.000</td>\n",
       "      <td>77.000</td>\n",
       "      <td>['email', 'phone', 'offline_government_id', 'selfie', 'government_id']</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pacoima</td>\n",
       "      <td>City of Los Angeles</td>\n",
       "      <td>34.245</td>\n",
       "      <td>-118.417</td>\n",
       "      <td>Entire house</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2 baths</td>\n",
       "      <td>3.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>[\"Microwave\", \"Coffee maker\", \"Smoke alarm\", \"Refrigerator\", \"Oven\", \"Stove\", \"Washer\", \"Cooking...</td>\n",
       "      <td>$149.00</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>2.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1125.000</td>\n",
       "      <td>1125.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1125.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>t</td>\n",
       "      <td>7</td>\n",
       "      <td>34</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>2020-06-24</td>\n",
       "      <td>2021-01-24</td>\n",
       "      <td>95.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>HSR20-000950</td>\n",
       "      <td>t</td>\n",
       "      <td>47</td>\n",
       "      <td>28</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>3.900</td>\n",
       "      <td>data\\los_angeles.csv</td>\n",
       "      <td>los angeles</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             id                            listing_url       scrape_id  \\\n",
       "25728  43895848  https://www.airbnb.com/rooms/43895848  20210207181900   \n",
       "\n",
       "      last_scraped                      name  \\\n",
       "25728   2021-02-09  Modern Home Near Burbank   \n",
       "\n",
       "                                                                                               description  \\\n",
       "25728  Enjoy a quiet night's rest in a charming space fully renovated to adhere to a modern and luxurio...   \n",
       "\n",
       "      neighborhood_overview  \\\n",
       "25728                   NaN   \n",
       "\n",
       "                                                                     picture_url  \\\n",
       "25728  https://a0.muscache.com/pictures/d205c88a-6068-4422-8dcb-dc8fae386190.jpg   \n",
       "\n",
       "         host_id                                     host_url host_name  \\\n",
       "25728  250312632  https://www.airbnb.com/users/show/250312632      Hoss   \n",
       "\n",
       "       host_since                            host_location  \\\n",
       "25728  2019-03-21  Hidden Hills, California, United States   \n",
       "\n",
       "                                                                                                host_about  \\\n",
       "25728  Follow and tag us on IG @airbnbofca\\n\\nHello, my name is Hoss. I've worked in real estate my ent...   \n",
       "\n",
       "      host_response_time host_response_rate host_acceptance_rate  \\\n",
       "25728     within an hour                98%                  99%   \n",
       "\n",
       "      host_is_superhost  \\\n",
       "25728                 f   \n",
       "\n",
       "                                                                                        host_thumbnail_url  \\\n",
       "25728  https://a0.muscache.com/im/pictures/user/c3f81eb3-c879-485a-84d6-b7987924b816.jpg?aki_policy=pro...   \n",
       "\n",
       "                                                                                          host_picture_url  \\\n",
       "25728  https://a0.muscache.com/im/pictures/user/c3f81eb3-c879-485a-84d6-b7987924b816.jpg?aki_policy=pro...   \n",
       "\n",
       "       host_neighbourhood  host_listings_count  host_total_listings_count  \\\n",
       "25728  Mission - Foothill               77.000                     77.000   \n",
       "\n",
       "                                                           host_verifications  \\\n",
       "25728  ['email', 'phone', 'offline_government_id', 'selfie', 'government_id']   \n",
       "\n",
       "      host_has_profile_pic host_identity_verified neighbourhood  \\\n",
       "25728                    t                      t           NaN   \n",
       "\n",
       "      neighbourhood_cleansed neighbourhood_group_cleansed  latitude  \\\n",
       "25728                Pacoima          City of Los Angeles    34.245   \n",
       "\n",
       "       longitude property_type        room_type  accommodates  bathrooms  \\\n",
       "25728   -118.417  Entire house  Entire home/apt             6        NaN   \n",
       "\n",
       "      bathrooms_text  bedrooms  beds  \\\n",
       "25728        2 baths     3.000 5.000   \n",
       "\n",
       "                                                                                                 amenities  \\\n",
       "25728  [\"Microwave\", \"Coffee maker\", \"Smoke alarm\", \"Refrigerator\", \"Oven\", \"Stove\", \"Washer\", \"Cooking...   \n",
       "\n",
       "         price  minimum_nights  maximum_nights  minimum_minimum_nights  \\\n",
       "25728  $149.00               2              30                   2.000   \n",
       "\n",
       "       maximum_minimum_nights  minimum_maximum_nights  maximum_maximum_nights  \\\n",
       "25728                   2.000                1125.000                1125.000   \n",
       "\n",
       "       minimum_nights_avg_ntm  maximum_nights_avg_ntm  calendar_updated  \\\n",
       "25728                   2.000                1125.000               NaN   \n",
       "\n",
       "      has_availability  availability_30  availability_60  availability_90  \\\n",
       "25728                t                7               34               64   \n",
       "\n",
       "       availability_365 calendar_last_scraped  number_of_reviews  \\\n",
       "25728                64            2021-02-09                 30   \n",
       "\n",
       "       number_of_reviews_ltm  number_of_reviews_l30d first_review last_review  \\\n",
       "25728                     30                       2   2020-06-24  2021-01-24   \n",
       "\n",
       "       review_scores_rating  review_scores_accuracy  \\\n",
       "25728                95.000                  10.000   \n",
       "\n",
       "       review_scores_cleanliness  review_scores_checkin  \\\n",
       "25728                      9.000                 10.000   \n",
       "\n",
       "       review_scores_communication  review_scores_location  \\\n",
       "25728                       10.000                  10.000   \n",
       "\n",
       "       review_scores_value       license instant_bookable  \\\n",
       "25728               10.000  HSR20-000950                t   \n",
       "\n",
       "       calculated_host_listings_count  \\\n",
       "25728                              47   \n",
       "\n",
       "       calculated_host_listings_count_entire_homes  \\\n",
       "25728                                           28   \n",
       "\n",
       "       calculated_host_listings_count_private_rooms  \\\n",
       "25728                                            19   \n",
       "\n",
       "       calculated_host_listings_count_shared_rooms  reviews_per_month  \\\n",
       "25728                                            0              3.900   \n",
       "\n",
       "                   filename         city  \n",
       "25728  data\\los_angeles.csv  los angeles  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eleven-forward",
   "metadata": {},
   "source": [
    "# Drop irrelevant columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "prerequisite-supervision",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(columns=[\"id\", \n",
    "                   \"calendar_updated\", \n",
    "                   \"host_about\", \n",
    "                   \"neighborhood_overview\", \n",
    "                   \"host_neighbourhood\", \n",
    "                   \"description\", \n",
    "                   \"host_location\", \n",
    "                   \"host_thumbnail_url\", \n",
    "                   \"host_picture_url\", \n",
    "                   \"host_name\", \n",
    "                   \"maximum_maximum_nights\", \n",
    "                   \"minimum_maximum_nights\", \n",
    "                   \"maximum_minimum_nights\", \n",
    "                   \"minimum_minimum_nights\", \n",
    "                   \"name\", \n",
    "                   \"host_id\", \n",
    "                   \"scrape_id\", \n",
    "                   \"host_verifications\", \n",
    "                   \"latitude\", \n",
    "                   \"longitude\", \n",
    "                   \"minimum_nights_avg_ntm\", \n",
    "                   \"maximum_nights_avg_ntm\", \n",
    "                   \"listing_url\", \n",
    "                   \"calendar_last_scraped\", \n",
    "                   \"license\", \n",
    "                   \"neighbourhood\", \n",
    "                   \"availability_30\", \n",
    "                   \"availability_60\", \n",
    "                   \"availability_365\", \n",
    "                   \"number_of_reviews_ltm\", \n",
    "                   \"host_url\", \n",
    "                   \"host_response_rate\", \n",
    "                   \"calculated_host_listings_count\", \n",
    "                   'calculated_host_listings_count',\n",
    "                   'calculated_host_listings_count_entire_homes',\n",
    "                   'calculated_host_listings_count_private_rooms',\n",
    "                   'calculated_host_listings_count_shared_rooms',\n",
    "                   'host_total_listings_count',\n",
    "                   'filename'\n",
    "                   ], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "higher-framework",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>100778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_response_time</th>\n",
       "      <td>35873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <td>29864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <td>27617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_value</th>\n",
       "      <td>24733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_location</th>\n",
       "      <td>24726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <td>24723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <td>24694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_communication</th>\n",
       "      <td>24692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <td>24680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_rating</th>\n",
       "      <td>24322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>last_review</th>\n",
       "      <td>23049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>first_review</th>\n",
       "      <td>23049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviews_per_month</th>\n",
       "      <td>23049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>10428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beds</th>\n",
       "      <td>990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms_text</th>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_identity_verified</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_listings_count</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_is_superhost</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_since</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instant_bookable</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>last_scraped</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>availability_90</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>has_availability</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maximum_nights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minimum_nights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>picture_url</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amenities</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accommodates</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>room_type</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>property_type</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>city</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   0\n",
       "bathrooms                     100778\n",
       "host_response_time             35873\n",
       "neighbourhood_group_cleansed   29864\n",
       "host_acceptance_rate           27617\n",
       "review_scores_value            24733\n",
       "review_scores_location         24726\n",
       "review_scores_checkin          24723\n",
       "review_scores_accuracy         24694\n",
       "review_scores_communication    24692\n",
       "review_scores_cleanliness      24680\n",
       "review_scores_rating           24322\n",
       "last_review                    23049\n",
       "first_review                   23049\n",
       "reviews_per_month              23049\n",
       "bedrooms                       10428\n",
       "beds                             990\n",
       "bathrooms_text                   173\n",
       "host_identity_verified            64\n",
       "host_has_profile_pic              64\n",
       "host_listings_count               64\n",
       "host_is_superhost                 64\n",
       "host_since                        64\n",
       "number_of_reviews_l30d             0\n",
       "instant_bookable                   0\n",
       "last_scraped                       0\n",
       "price                              0\n",
       "number_of_reviews                  0\n",
       "availability_90                    0\n",
       "has_availability                   0\n",
       "maximum_nights                     0\n",
       "minimum_nights                     0\n",
       "picture_url                        0\n",
       "amenities                          0\n",
       "accommodates                       0\n",
       "room_type                          0\n",
       "property_type                      0\n",
       "neighbourhood_cleansed             0\n",
       "city                               0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum().to_frame().sort_values(0, ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "smooth-residence",
   "metadata": {},
   "source": [
    "# One-hot encode cities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "upper-cleaners",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.concat([data, pd.get_dummies(data[\"city\"]).astype(\"category\")], axis=1)\n",
    "data.drop(columns=[\"city\"], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "established-brass",
   "metadata": {},
   "source": [
    "# One-hot encode amenities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "solid-applicant",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "def replace_str(col, orig, rep):\n",
    "    col = col.apply(lambda k: [re.sub(\"(^|.*\\s)\" + orig + \"($|\\s.*)\", rep, s) for s in k])\n",
    "    return col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "mysterious-stretch",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(subset=[\"amenities\"], inplace=True)\n",
    "data.amenities = data.amenities.apply(lambda k: [s.replace('\"','').strip().lower() for s in k[1:-1].split('\", \"')])\n",
    "data.amenities = replace_str(data.amenities, \"hdtv\", \"tv\")\n",
    "data.amenities = replace_str(data.amenities, \"tv\", \"tv\")\n",
    "data.amenities = replace_str(data.amenities, \"wifi\", \"wifi\")\n",
    "data.amenities = replace_str(data.amenities, \"dishwasher\", \"dishwasher\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "future-situation",
   "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>amenity</th>\n",
       "      <th>freq</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>kitchen</td>\n",
       "      <td>0.880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hangers</td>\n",
       "      <td>0.818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>carbon monoxide alarm</td>\n",
       "      <td>0.789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>air conditioning</td>\n",
       "      <td>0.764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>hair dryer</td>\n",
       "      <td>0.747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>shampoo</td>\n",
       "      <td>0.730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>iron</td>\n",
       "      <td>0.724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dedicated workspace</td>\n",
       "      <td>0.700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>hot water</td>\n",
       "      <td>0.660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>washer</td>\n",
       "      <td>0.620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>dryer</td>\n",
       "      <td>0.615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>refrigerator</td>\n",
       "      <td>0.556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>dishes and silverware</td>\n",
       "      <td>0.541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>fire extinguisher</td>\n",
       "      <td>0.526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>microwave</td>\n",
       "      <td>0.521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>coffee maker</td>\n",
       "      <td>0.498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>cooking basics</td>\n",
       "      <td>0.477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>stove</td>\n",
       "      <td>0.452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>oven</td>\n",
       "      <td>0.448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>bed linens</td>\n",
       "      <td>0.437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>free street parking</td>\n",
       "      <td>0.435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>first aid kit</td>\n",
       "      <td>0.420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>private entrance</td>\n",
       "      <td>0.388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>free parking on premises</td>\n",
       "      <td>0.345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>extra pillows and blankets</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>dishwasher</td>\n",
       "      <td>0.303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>patio or balcony</td>\n",
       "      <td>0.248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>garden or backyard</td>\n",
       "      <td>0.212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>luggage dropoff allowed</td>\n",
       "      <td>0.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>lock on bedroom door</td>\n",
       "      <td>0.205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>elevator</td>\n",
       "      <td>0.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>lockbox</td>\n",
       "      <td>0.159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>bathtub</td>\n",
       "      <td>0.154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>indoor fireplace</td>\n",
       "      <td>0.128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>gym</td>\n",
       "      <td>0.128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>keypad</td>\n",
       "      <td>0.124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>shower gel</td>\n",
       "      <td>0.115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>host greets you</td>\n",
       "      <td>0.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>bbq grill</td>\n",
       "      <td>0.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>pool</td>\n",
       "      <td>0.102</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       amenity  freq\n",
       "6                      kitchen 0.880\n",
       "7                      hangers 0.818\n",
       "8        carbon monoxide alarm 0.789\n",
       "9             air conditioning 0.764\n",
       "10                  hair dryer 0.747\n",
       "11                     shampoo 0.730\n",
       "12                        iron 0.724\n",
       "13         dedicated workspace 0.700\n",
       "14                   hot water 0.660\n",
       "15                      washer 0.620\n",
       "16                       dryer 0.615\n",
       "17                refrigerator 0.556\n",
       "18       dishes and silverware 0.541\n",
       "19           fire extinguisher 0.526\n",
       "20                   microwave 0.521\n",
       "21                coffee maker 0.498\n",
       "22              cooking basics 0.477\n",
       "23                       stove 0.452\n",
       "24                        oven 0.448\n",
       "25                  bed linens 0.437\n",
       "26         free street parking 0.435\n",
       "27               first aid kit 0.420\n",
       "28            private entrance 0.388\n",
       "29    free parking on premises 0.345\n",
       "30  extra pillows and blankets 0.319\n",
       "31                  dishwasher 0.303\n",
       "32            patio or balcony 0.248\n",
       "33          garden or backyard 0.212\n",
       "34     luggage dropoff allowed 0.210\n",
       "35        lock on bedroom door 0.205\n",
       "36                    elevator 0.190\n",
       "37                     lockbox 0.159\n",
       "38                     bathtub 0.154\n",
       "39            indoor fireplace 0.128\n",
       "40                         gym 0.128\n",
       "41                      keypad 0.124\n",
       "42                  shower gel 0.115\n",
       "43             host greets you 0.113\n",
       "44                   bbq grill 0.109\n",
       "45                        pool 0.102"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "amens = (data.amenities.explode().value_counts()/data.shape[0]).to_frame().reset_index(0)\n",
    "amens = amens.rename(columns={'index':\"amenity\", 'amenities':\"freq\"})\n",
    "relevant_amens = amens.loc[(amens[\"freq\"] > 0.1) & (amens[\"freq\"] < 0.9)]\n",
    "relevant_amens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "compressed-formula",
   "metadata": {},
   "outputs": [],
   "source": [
    "for amen in relevant_amens[\"amenity\"]:\n",
    "    col_name = amen.replace(\" \", \"_\")\n",
    "    data[col_name] = data.amenities.apply(lambda l: 1 if amen in l else 0).astype(\"category\")\n",
    "data.drop(columns=[\"amenities\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ranking-maple",
   "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>last_scraped</th>\n",
       "      <th>picture_url</th>\n",
       "      <th>host_since</th>\n",
       "      <th>host_response_time</th>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <th>host_is_superhost</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <th>property_type</th>\n",
       "      <th>room_type</th>\n",
       "      <th>accommodates</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bathrooms_text</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>beds</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>maximum_nights</th>\n",
       "      <th>has_availability</th>\n",
       "      <th>availability_90</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <th>first_review</th>\n",
       "      <th>last_review</th>\n",
       "      <th>review_scores_rating</th>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <th>review_scores_communication</th>\n",
       "      <th>review_scores_location</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>boston</th>\n",
       "      <th>cambridge</th>\n",
       "      <th>chicago</th>\n",
       "      <th>los angeles</th>\n",
       "      <th>nashville</th>\n",
       "      <th>new york city</th>\n",
       "      <th>san francisco</th>\n",
       "      <th>seattle</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>hangers</th>\n",
       "      <th>carbon_monoxide_alarm</th>\n",
       "      <th>air_conditioning</th>\n",
       "      <th>hair_dryer</th>\n",
       "      <th>shampoo</th>\n",
       "      <th>iron</th>\n",
       "      <th>dedicated_workspace</th>\n",
       "      <th>hot_water</th>\n",
       "      <th>washer</th>\n",
       "      <th>dryer</th>\n",
       "      <th>refrigerator</th>\n",
       "      <th>dishes_and_silverware</th>\n",
       "      <th>fire_extinguisher</th>\n",
       "      <th>microwave</th>\n",
       "      <th>coffee_maker</th>\n",
       "      <th>cooking_basics</th>\n",
       "      <th>stove</th>\n",
       "      <th>oven</th>\n",
       "      <th>bed_linens</th>\n",
       "      <th>free_street_parking</th>\n",
       "      <th>first_aid_kit</th>\n",
       "      <th>private_entrance</th>\n",
       "      <th>free_parking_on_premises</th>\n",
       "      <th>extra_pillows_and_blankets</th>\n",
       "      <th>dishwasher</th>\n",
       "      <th>patio_or_balcony</th>\n",
       "      <th>garden_or_backyard</th>\n",
       "      <th>luggage_dropoff_allowed</th>\n",
       "      <th>lock_on_bedroom_door</th>\n",
       "      <th>elevator</th>\n",
       "      <th>lockbox</th>\n",
       "      <th>bathtub</th>\n",
       "      <th>indoor_fireplace</th>\n",
       "      <th>gym</th>\n",
       "      <th>keypad</th>\n",
       "      <th>shower_gel</th>\n",
       "      <th>host_greets_you</th>\n",
       "      <th>bbq_grill</th>\n",
       "      <th>pool</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33194</th>\n",
       "      <td>2021-02-06</td>\n",
       "      <td>https://a0.muscache.com/pictures/aaef7f0c-d72b-4ac4-a61e-ac3e245f9783.jpg</td>\n",
       "      <td>2015-11-02</td>\n",
       "      <td>within a day</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>0.000</td>\n",
       "      <td>t</td>\n",
       "      <td>f</td>\n",
       "      <td>East Harlem</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Entire apartment</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>$120.00</td>\n",
       "      <td>30</td>\n",
       "      <td>1125</td>\n",
       "      <td>t</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>t</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19402</th>\n",
       "      <td>2021-02-10</td>\n",
       "      <td>https://a0.muscache.com/pictures/c98489e2-9e44-4c05-9efd-e0082e95c705.jpg</td>\n",
       "      <td>2019-05-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0%</td>\n",
       "      <td>f</td>\n",
       "      <td>0.000</td>\n",
       "      <td>f</td>\n",
       "      <td>f</td>\n",
       "      <td>Hollywood Hills West</td>\n",
       "      <td>City of Los Angeles</td>\n",
       "      <td>Entire villa</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.5 baths</td>\n",
       "      <td>6.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>$5,284.00</td>\n",
       "      <td>30</td>\n",
       "      <td>365</td>\n",
       "      <td>t</td>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6133</th>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>https://a0.muscache.com/pictures/4c506aaa-60ca-4604-a513-1f02ac179f52.jpg</td>\n",
       "      <td>2012-08-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71%</td>\n",
       "      <td>t</td>\n",
       "      <td>1.000</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>Long Beach</td>\n",
       "      <td>Other Cities</td>\n",
       "      <td>Private room in house</td>\n",
       "      <td>Private room</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>$65.00</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>t</td>\n",
       "      <td>70</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-06-12</td>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>95.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>t</td>\n",
       "      <td>1.800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1795</th>\n",
       "      <td>2021-02-05</td>\n",
       "      <td>https://a0.muscache.com/pictures/a1a0fecc-6d07-499e-8e30-9e24ce222a98.jpg</td>\n",
       "      <td>2015-06-21</td>\n",
       "      <td>within an hour</td>\n",
       "      <td>100%</td>\n",
       "      <td>t</td>\n",
       "      <td>3.000</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>Outer Richmond</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Private room in house</td>\n",
       "      <td>Private room</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 shared bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>$69.00</td>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>t</td>\n",
       "      <td>74</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-03-19</td>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>94.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>f</td>\n",
       "      <td>1.510</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1631</th>\n",
       "      <td>2021-02-04</td>\n",
       "      <td>https://a0.muscache.com/pictures/27e2cd74-664d-4ee8-8272-7af652291831.jpg</td>\n",
       "      <td>2015-12-03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>t</td>\n",
       "      <td>2.000</td>\n",
       "      <td>t</td>\n",
       "      <td>t</td>\n",
       "      <td>Castro/Upper Market</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Entire apartment</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.5 baths</td>\n",
       "      <td>2.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>$128.00</td>\n",
       "      <td>30</td>\n",
       "      <td>1125</td>\n",
       "      <td>t</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2016-08-13</td>\n",
       "      <td>2017-09-04</td>\n",
       "      <td>100.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>f</td>\n",
       "      <td>0.040</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      last_scraped  \\\n",
       "33194   2021-02-06   \n",
       "19402   2021-02-10   \n",
       "6133    2021-02-09   \n",
       "1795    2021-02-05   \n",
       "1631    2021-02-04   \n",
       "\n",
       "                                                                     picture_url  \\\n",
       "33194  https://a0.muscache.com/pictures/aaef7f0c-d72b-4ac4-a61e-ac3e245f9783.jpg   \n",
       "19402  https://a0.muscache.com/pictures/c98489e2-9e44-4c05-9efd-e0082e95c705.jpg   \n",
       "6133   https://a0.muscache.com/pictures/4c506aaa-60ca-4604-a513-1f02ac179f52.jpg   \n",
       "1795   https://a0.muscache.com/pictures/a1a0fecc-6d07-499e-8e30-9e24ce222a98.jpg   \n",
       "1631   https://a0.muscache.com/pictures/27e2cd74-664d-4ee8-8272-7af652291831.jpg   \n",
       "\n",
       "       host_since host_response_time host_acceptance_rate host_is_superhost  \\\n",
       "33194  2015-11-02       within a day                  NaN                 f   \n",
       "19402  2019-05-30                NaN                   0%                 f   \n",
       "6133   2012-08-08                NaN                  71%                 t   \n",
       "1795   2015-06-21     within an hour                 100%                 t   \n",
       "1631   2015-12-03                NaN                  NaN                 t   \n",
       "\n",
       "       host_listings_count host_has_profile_pic host_identity_verified  \\\n",
       "33194                0.000                    t                      f   \n",
       "19402                0.000                    f                      f   \n",
       "6133                 1.000                    t                      t   \n",
       "1795                 3.000                    t                      t   \n",
       "1631                 2.000                    t                      t   \n",
       "\n",
       "      neighbourhood_cleansed neighbourhood_group_cleansed  \\\n",
       "33194            East Harlem                    Manhattan   \n",
       "19402   Hollywood Hills West          City of Los Angeles   \n",
       "6133              Long Beach                 Other Cities   \n",
       "1795          Outer Richmond                          NaN   \n",
       "1631     Castro/Upper Market                          NaN   \n",
       "\n",
       "               property_type        room_type  accommodates  bathrooms  \\\n",
       "33194       Entire apartment  Entire home/apt             2        NaN   \n",
       "19402           Entire villa  Entire home/apt            12        NaN   \n",
       "6133   Private room in house     Private room             3        NaN   \n",
       "1795   Private room in house     Private room             2        NaN   \n",
       "1631        Entire apartment  Entire home/apt             5        NaN   \n",
       "\n",
       "      bathrooms_text  bedrooms  beds      price  minimum_nights  \\\n",
       "33194         1 bath     1.000 1.000    $120.00              30   \n",
       "19402      6.5 baths     6.000 6.000  $5,284.00              30   \n",
       "6133          1 bath     1.000 1.000     $65.00               2   \n",
       "1795   1 shared bath     1.000 1.000     $69.00               3   \n",
       "1631       1.5 baths     2.000 2.000    $128.00              30   \n",
       "\n",
       "       maximum_nights has_availability  availability_90  number_of_reviews  \\\n",
       "33194            1125                t               90                  0   \n",
       "19402             365                t               88                  0   \n",
       "6133               20                t               70                102   \n",
       "1795               30                t               74                 90   \n",
       "1631             1125                t                0                  2   \n",
       "\n",
       "       number_of_reviews_l30d first_review last_review  review_scores_rating  \\\n",
       "33194                       0          NaN         NaN                   NaN   \n",
       "19402                       0          NaN         NaN                   NaN   \n",
       "6133                        0   2016-06-12  2020-03-02                95.000   \n",
       "1795                        0   2016-03-19  2020-08-29                94.000   \n",
       "1631                        0   2016-08-13  2017-09-04               100.000   \n",
       "\n",
       "       review_scores_accuracy  review_scores_cleanliness  \\\n",
       "33194                     NaN                        NaN   \n",
       "19402                     NaN                        NaN   \n",
       "6133                   10.000                     10.000   \n",
       "1795                   10.000                     10.000   \n",
       "1631                   10.000                     10.000   \n",
       "\n",
       "       review_scores_checkin  review_scores_communication  \\\n",
       "33194                    NaN                          NaN   \n",
       "19402                    NaN                          NaN   \n",
       "6133                  10.000                       10.000   \n",
       "1795                  10.000                       10.000   \n",
       "1631                  10.000                       10.000   \n",
       "\n",
       "       review_scores_location  review_scores_value instant_bookable  \\\n",
       "33194                     NaN                  NaN                t   \n",
       "19402                     NaN                  NaN                f   \n",
       "6133                   10.000               10.000                t   \n",
       "1795                   10.000               10.000                f   \n",
       "1631                   10.000               10.000                f   \n",
       "\n",
       "       reviews_per_month boston cambridge chicago los angeles nashville  \\\n",
       "33194                NaN      0         0       0           0         0   \n",
       "19402                NaN      0         0       0           1         0   \n",
       "6133               1.800      0         0       0           1         0   \n",
       "1795               1.510      0         0       0           0         0   \n",
       "1631               0.040      0         0       0           0         0   \n",
       "\n",
       "      new york city san francisco seattle kitchen hangers  \\\n",
       "33194             1             0       0       1       1   \n",
       "19402             0             0       0       1       0   \n",
       "6133              0             0       0       0       1   \n",
       "1795              0             1       0       1       1   \n",
       "1631              0             1       0       1       1   \n",
       "\n",
       "      carbon_monoxide_alarm air_conditioning hair_dryer shampoo iron  \\\n",
       "33194                     1                1          0       1    0   \n",
       "19402                     0                1          0       0    0   \n",
       "6133                      0                0          0       0    0   \n",
       "1795                      1                0          1       1    1   \n",
       "1631                      0                0          1       0    1   \n",
       "\n",
       "      dedicated_workspace hot_water washer dryer refrigerator  \\\n",
       "33194                   1         0      1     1            0   \n",
       "19402                   0         0      1     1            0   \n",
       "6133                    0         1      0     0            1   \n",
       "1795                    1         1      0     0            1   \n",
       "1631                    0         1      1     1            0   \n",
       "\n",
       "      dishes_and_silverware fire_extinguisher microwave coffee_maker  \\\n",
       "33194                     0                 1         0            0   \n",
       "19402                     0                 0         0            0   \n",
       "6133                      0                 0         1            0   \n",
       "1795                      1                 1         1            1   \n",
       "1631                      0                 1         0            0   \n",
       "\n",
       "      cooking_basics stove oven bed_linens free_street_parking first_aid_kit  \\\n",
       "33194              0     0    0          0                   0             0   \n",
       "19402              0     0    0          0                   0             0   \n",
       "6133               0     0    0          0                   1             0   \n",
       "1795               1     1    1          1                   1             1   \n",
       "1631               0     0    0          1                   0             1   \n",
       "\n",
       "      private_entrance free_parking_on_premises extra_pillows_and_blankets  \\\n",
       "33194                0                        0                          0   \n",
       "19402                0                        0                          0   \n",
       "6133                 0                        0                          0   \n",
       "1795                 0                        0                          1   \n",
       "1631                 1                        0                          0   \n",
       "\n",
       "      dishwasher patio_or_balcony garden_or_backyard luggage_dropoff_allowed  \\\n",
       "33194          0                0                  0                       0   \n",
       "19402          1                0                  0                       0   \n",
       "6133           0                0                  0                       0   \n",
       "1795           0                0                  0                       0   \n",
       "1631           0                0                  1                       0   \n",
       "\n",
       "      lock_on_bedroom_door elevator lockbox bathtub indoor_fireplace gym  \\\n",
       "33194                    0        0       0       0                0   0   \n",
       "19402                    0        1       0       0                0   0   \n",
       "6133                     0        0       0       0                0   0   \n",
       "1795                     1        0       0       1                0   0   \n",
       "1631                     0        0       0       0                0   0   \n",
       "\n",
       "      keypad shower_gel host_greets_you bbq_grill pool  \n",
       "33194      0          0               0         0    0  \n",
       "19402      0          0               0         1    0  \n",
       "6133       0          0               0         0    0  \n",
       "1795       0          0               0         0    0  \n",
       "1631       0          0               0         1    0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "casual-jackson",
   "metadata": {},
   "source": [
    "# Other data cleaning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "rural-agent",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in [\"host_is_superhost\", \"host_identity_verified\", \"has_availability\", \"instant_bookable\", \"host_has_profile_pic\"]:\n",
    "    data[col] = data[col].replace({'f': 0, 't': 1}).astype(\"category\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "creative-soldier",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"host_acceptance_rate\"] = data[\"host_acceptance_rate\"].str.rstrip('%').astype('float') / 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "genetic-operations",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"price\"] = data[\"price\"].replace({'\\$':'', ',':''}, regex=True).astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "frank-practice",
   "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>last_scraped</th>\n",
       "      <th>picture_url</th>\n",
       "      <th>host_since</th>\n",
       "      <th>host_response_time</th>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <th>host_is_superhost</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <th>property_type</th>\n",
       "      <th>room_type</th>\n",
       "      <th>accommodates</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bathrooms_text</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>beds</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>maximum_nights</th>\n",
       "      <th>has_availability</th>\n",
       "      <th>availability_90</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <th>first_review</th>\n",
       "      <th>last_review</th>\n",
       "      <th>review_scores_rating</th>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <th>review_scores_communication</th>\n",
       "      <th>review_scores_location</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>boston</th>\n",
       "      <th>cambridge</th>\n",
       "      <th>chicago</th>\n",
       "      <th>los angeles</th>\n",
       "      <th>nashville</th>\n",
       "      <th>new york city</th>\n",
       "      <th>san francisco</th>\n",
       "      <th>seattle</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>hangers</th>\n",
       "      <th>carbon_monoxide_alarm</th>\n",
       "      <th>air_conditioning</th>\n",
       "      <th>hair_dryer</th>\n",
       "      <th>shampoo</th>\n",
       "      <th>iron</th>\n",
       "      <th>dedicated_workspace</th>\n",
       "      <th>hot_water</th>\n",
       "      <th>washer</th>\n",
       "      <th>dryer</th>\n",
       "      <th>refrigerator</th>\n",
       "      <th>dishes_and_silverware</th>\n",
       "      <th>fire_extinguisher</th>\n",
       "      <th>microwave</th>\n",
       "      <th>coffee_maker</th>\n",
       "      <th>cooking_basics</th>\n",
       "      <th>stove</th>\n",
       "      <th>oven</th>\n",
       "      <th>bed_linens</th>\n",
       "      <th>free_street_parking</th>\n",
       "      <th>first_aid_kit</th>\n",
       "      <th>private_entrance</th>\n",
       "      <th>free_parking_on_premises</th>\n",
       "      <th>extra_pillows_and_blankets</th>\n",
       "      <th>dishwasher</th>\n",
       "      <th>patio_or_balcony</th>\n",
       "      <th>garden_or_backyard</th>\n",
       "      <th>luggage_dropoff_allowed</th>\n",
       "      <th>lock_on_bedroom_door</th>\n",
       "      <th>elevator</th>\n",
       "      <th>lockbox</th>\n",
       "      <th>bathtub</th>\n",
       "      <th>indoor_fireplace</th>\n",
       "      <th>gym</th>\n",
       "      <th>keypad</th>\n",
       "      <th>shower_gel</th>\n",
       "      <th>host_greets_you</th>\n",
       "      <th>bbq_grill</th>\n",
       "      <th>pool</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10522</th>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>https://a0.muscache.com/pictures/357bd7ec-77d8-46b9-bf05-633dcd769934.jpg</td>\n",
       "      <td>2016-11-18</td>\n",
       "      <td>within an hour</td>\n",
       "      <td>0.980</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Venice</td>\n",
       "      <td>City of Los Angeles</td>\n",
       "      <td>Entire condominium</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>105.000</td>\n",
       "      <td>3</td>\n",
       "      <td>180</td>\n",
       "      <td>1</td>\n",
       "      <td>71</td>\n",
       "      <td>128</td>\n",
       "      <td>2</td>\n",
       "      <td>2017-10-09</td>\n",
       "      <td>2021-01-20</td>\n",
       "      <td>95.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.150</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18491</th>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>https://a0.muscache.com/pictures/2de712b6-fbcf-4a95-b9ef-150346eeb87e.jpg</td>\n",
       "      <td>2016-06-06</td>\n",
       "      <td>within an hour</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Koreatown</td>\n",
       "      <td>City of Los Angeles</td>\n",
       "      <td>Entire house</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3 baths</td>\n",
       "      <td>3.000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>650.000</td>\n",
       "      <td>3</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "      <td>83</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2019-06-10</td>\n",
       "      <td>2020-08-02</td>\n",
       "      <td>100.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5371</th>\n",
       "      <td>2021-02-05</td>\n",
       "      <td>https://a0.muscache.com/pictures/dc29c805-f3d2-419b-9d9c-2e4d6923d893.jpg</td>\n",
       "      <td>2019-10-18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Downtown/Civic Center</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Room in boutique hotel</td>\n",
       "      <td>Private room</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 private bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>228.000</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27358</th>\n",
       "      <td>2021-02-04</td>\n",
       "      <td>https://a0.muscache.com/pictures/ecc99c7b-0030-4cfd-95cf-e44ac5f63d50.jpg</td>\n",
       "      <td>2017-05-25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Entire apartment</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>70.000</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2021-02-19</td>\n",
       "      <td>https://a0.muscache.com/pictures/63893679/65161f4a_original.jpg</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Rogers Park</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Private room in apartment</td>\n",
       "      <td>Private room</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 shared bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>48.000</td>\n",
       "      <td>3</td>\n",
       "      <td>90</td>\n",
       "      <td>1</td>\n",
       "      <td>83</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>2015-02-21</td>\n",
       "      <td>2019-09-24</td>\n",
       "      <td>94.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      last_scraped  \\\n",
       "10522   2021-02-09   \n",
       "18491   2021-02-09   \n",
       "5371    2021-02-05   \n",
       "27358   2021-02-04   \n",
       "355     2021-02-19   \n",
       "\n",
       "                                                                     picture_url  \\\n",
       "10522  https://a0.muscache.com/pictures/357bd7ec-77d8-46b9-bf05-633dcd769934.jpg   \n",
       "18491  https://a0.muscache.com/pictures/2de712b6-fbcf-4a95-b9ef-150346eeb87e.jpg   \n",
       "5371   https://a0.muscache.com/pictures/dc29c805-f3d2-419b-9d9c-2e4d6923d893.jpg   \n",
       "27358  https://a0.muscache.com/pictures/ecc99c7b-0030-4cfd-95cf-e44ac5f63d50.jpg   \n",
       "355              https://a0.muscache.com/pictures/63893679/65161f4a_original.jpg   \n",
       "\n",
       "       host_since host_response_time  host_acceptance_rate host_is_superhost  \\\n",
       "10522  2016-11-18     within an hour                 0.980             0.000   \n",
       "18491  2016-06-06     within an hour                 0.500             0.000   \n",
       "5371   2019-10-18                NaN                 1.000             0.000   \n",
       "27358  2017-05-25                NaN                 1.000             0.000   \n",
       "355    2015-01-05                NaN                 0.000             1.000   \n",
       "\n",
       "       host_listings_count host_has_profile_pic host_identity_verified  \\\n",
       "10522                8.000                1.000                  1.000   \n",
       "18491                1.000                1.000                  0.000   \n",
       "5371                 6.000                1.000                  1.000   \n",
       "27358                0.000                1.000                  1.000   \n",
       "355                  1.000                1.000                  1.000   \n",
       "\n",
       "      neighbourhood_cleansed neighbourhood_group_cleansed  \\\n",
       "10522                 Venice          City of Los Angeles   \n",
       "18491              Koreatown          City of Los Angeles   \n",
       "5371   Downtown/Civic Center                          NaN   \n",
       "27358              Chinatown                    Manhattan   \n",
       "355              Rogers Park                          NaN   \n",
       "\n",
       "                   property_type        room_type  accommodates  bathrooms  \\\n",
       "10522         Entire condominium  Entire home/apt             2        NaN   \n",
       "18491               Entire house  Entire home/apt             6        NaN   \n",
       "5371      Room in boutique hotel     Private room             2        NaN   \n",
       "27358           Entire apartment  Entire home/apt             2        NaN   \n",
       "355    Private room in apartment     Private room             2        NaN   \n",
       "\n",
       "       bathrooms_text  bedrooms  beds   price  minimum_nights  maximum_nights  \\\n",
       "10522          1 bath     1.000 1.000 105.000               3             180   \n",
       "18491         3 baths     3.000 3.000 650.000               3              42   \n",
       "5371   1 private bath     1.000 1.000 228.000               1              28   \n",
       "27358          1 bath     1.000 1.000  70.000               2              14   \n",
       "355     1 shared bath     1.000 1.000  48.000               3              90   \n",
       "\n",
       "      has_availability  availability_90  number_of_reviews  \\\n",
       "10522                1               71                128   \n",
       "18491                1               83                  4   \n",
       "5371                 1                0                  0   \n",
       "27358                1                0                  0   \n",
       "355                  1               83                 47   \n",
       "\n",
       "       number_of_reviews_l30d first_review last_review  review_scores_rating  \\\n",
       "10522                       2   2017-10-09  2021-01-20                95.000   \n",
       "18491                       0   2019-06-10  2020-08-02               100.000   \n",
       "5371                        0          NaN         NaN                   NaN   \n",
       "27358                       0          NaN         NaN                   NaN   \n",
       "355                         0   2015-02-21  2019-09-24                94.000   \n",
       "\n",
       "       review_scores_accuracy  review_scores_cleanliness  \\\n",
       "10522                  10.000                     10.000   \n",
       "18491                  10.000                     10.000   \n",
       "5371                      NaN                        NaN   \n",
       "27358                     NaN                        NaN   \n",
       "355                    10.000                      9.000   \n",
       "\n",
       "       review_scores_checkin  review_scores_communication  \\\n",
       "10522                 10.000                       10.000   \n",
       "18491                 10.000                       10.000   \n",
       "5371                     NaN                          NaN   \n",
       "27358                    NaN                          NaN   \n",
       "355                   10.000                       10.000   \n",
       "\n",
       "       review_scores_location  review_scores_value instant_bookable  \\\n",
       "10522                  10.000               10.000                1   \n",
       "18491                  10.000               10.000                0   \n",
       "5371                      NaN                  NaN                1   \n",
       "27358                     NaN                  NaN                1   \n",
       "355                     9.000               10.000                0   \n",
       "\n",
       "       reviews_per_month boston cambridge chicago los angeles nashville  \\\n",
       "10522              3.150      0         0       0           1         0   \n",
       "18491              0.200      0         0       0           1         0   \n",
       "5371                 NaN      0         0       0           0         0   \n",
       "27358                NaN      0         0       0           0         0   \n",
       "355                0.640      0         0       1           0         0   \n",
       "\n",
       "      new york city san francisco seattle kitchen hangers  \\\n",
       "10522             0             0       0       0       0   \n",
       "18491             0             0       0       1       1   \n",
       "5371              0             1       0       0       1   \n",
       "27358             1             0       0       1       1   \n",
       "355               0             0       0       1       1   \n",
       "\n",
       "      carbon_monoxide_alarm air_conditioning hair_dryer shampoo iron  \\\n",
       "10522                     1                0          1       1    0   \n",
       "18491                     1                1          0       0    1   \n",
       "5371                      1                1          1       1    1   \n",
       "27358                     1                1          0       1    1   \n",
       "355                       1                1          1       1    1   \n",
       "\n",
       "      dedicated_workspace hot_water washer dryer refrigerator  \\\n",
       "10522                   0         1      1     1            0   \n",
       "18491                   1         1      1     1            1   \n",
       "5371                    1         0      0     0            0   \n",
       "27358                   1         1      0     0            1   \n",
       "355                     1         1      1     1            0   \n",
       "\n",
       "      dishes_and_silverware fire_extinguisher microwave coffee_maker  \\\n",
       "10522                     0                 0         0            0   \n",
       "18491                     1                 0         1            1   \n",
       "5371                      0                 1         0            0   \n",
       "27358                     1                 0         1            1   \n",
       "355                       1                 0         1            1   \n",
       "\n",
       "      cooking_basics stove oven bed_linens free_street_parking first_aid_kit  \\\n",
       "10522              0     0    0          1                   0             0   \n",
       "18491              1     1    1          0                   0             0   \n",
       "5371               0     0    0          0                   0             1   \n",
       "27358              1     1    1          1                   0             0   \n",
       "355                0     0    0          0                   1             0   \n",
       "\n",
       "      private_entrance free_parking_on_premises extra_pillows_and_blankets  \\\n",
       "10522                1                        0                          0   \n",
       "18491                1                        1                          0   \n",
       "5371                 1                        0                          0   \n",
       "27358                0                        0                          1   \n",
       "355                  1                        0                          0   \n",
       "\n",
       "      dishwasher patio_or_balcony garden_or_backyard luggage_dropoff_allowed  \\\n",
       "10522          0                0                  0                       0   \n",
       "18491          1                1                  1                       0   \n",
       "5371           0                0                  0                       0   \n",
       "27358          0                0                  0                       0   \n",
       "355            0                0                  0                       0   \n",
       "\n",
       "      lock_on_bedroom_door elevator lockbox bathtub indoor_fireplace gym  \\\n",
       "10522                    0        0       0       0                0   0   \n",
       "18491                    0        0       0       0                1   0   \n",
       "5371                     1        1       0       0                0   1   \n",
       "27358                    0        0       0       0                0   0   \n",
       "355                      0        0       0       0                0   0   \n",
       "\n",
       "      keypad shower_gel host_greets_you bbq_grill pool  \n",
       "10522      0          0               0         0    0  \n",
       "18491      1          0               0         0    1  \n",
       "5371       0          0               0         0    0  \n",
       "27358      0          1               0         0    0  \n",
       "355        0          0               1         0    0  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "greatest-memorial",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['within a day', nan, 'within an hour', 'within a few hours',\n",
       "       'a few days or more'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"host_response_time\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "detected-nebraska",
   "metadata": {},
   "outputs": [],
   "source": [
    "def encode_reponse_time(s):\n",
    "    if s == 'within an hour':\n",
    "        return 1\n",
    "    elif s == 'within a few hours':\n",
    "        return 2\n",
    "    elif s == 'within a day':\n",
    "        return 3\n",
    "    elif s == 'a few days or more':\n",
    "        return 4\n",
    "    else:\n",
    "        return 0\n",
    "data[\"host_response_time\"] = data[\"host_response_time\"].apply(lambda s: encode_reponse_time(s)).astype(int)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "dependent-trauma",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"last_scraped\"] = pd.to_datetime(data[\"last_scraped\"])\n",
    "data[\"host_since\"] = pd.to_datetime(data[\"host_since\"])\n",
    "data[\"first_review\"] = pd.to_datetime(data[\"first_review\"])\n",
    "data[\"last_review\"] = pd.to_datetime(data[\"last_review\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "sharp-ethics",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"days_hosting\"] = (data[\"last_scraped\"] - data[\"host_since\"]).dt.days\n",
    "data[\"days_since_first_review\"] = (data[\"last_scraped\"] - data[\"first_review\"]).dt.days\n",
    "data[\"days_since_last_review\"] = (data[\"last_scraped\"] - data[\"last_review\"]).dt.days\n",
    "data.drop(columns=[\"last_scraped\", \"host_since\", \"first_review\", \"last_review\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "conditional-active",
   "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>picture_url</th>\n",
       "      <th>host_response_time</th>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <th>host_is_superhost</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <th>property_type</th>\n",
       "      <th>room_type</th>\n",
       "      <th>accommodates</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>bathrooms_text</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>beds</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>maximum_nights</th>\n",
       "      <th>has_availability</th>\n",
       "      <th>availability_90</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <th>review_scores_rating</th>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <th>review_scores_communication</th>\n",
       "      <th>review_scores_location</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>boston</th>\n",
       "      <th>cambridge</th>\n",
       "      <th>chicago</th>\n",
       "      <th>los angeles</th>\n",
       "      <th>nashville</th>\n",
       "      <th>new york city</th>\n",
       "      <th>san francisco</th>\n",
       "      <th>seattle</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>hangers</th>\n",
       "      <th>carbon_monoxide_alarm</th>\n",
       "      <th>air_conditioning</th>\n",
       "      <th>hair_dryer</th>\n",
       "      <th>shampoo</th>\n",
       "      <th>iron</th>\n",
       "      <th>dedicated_workspace</th>\n",
       "      <th>hot_water</th>\n",
       "      <th>washer</th>\n",
       "      <th>dryer</th>\n",
       "      <th>refrigerator</th>\n",
       "      <th>dishes_and_silverware</th>\n",
       "      <th>fire_extinguisher</th>\n",
       "      <th>microwave</th>\n",
       "      <th>coffee_maker</th>\n",
       "      <th>cooking_basics</th>\n",
       "      <th>stove</th>\n",
       "      <th>oven</th>\n",
       "      <th>bed_linens</th>\n",
       "      <th>free_street_parking</th>\n",
       "      <th>first_aid_kit</th>\n",
       "      <th>private_entrance</th>\n",
       "      <th>free_parking_on_premises</th>\n",
       "      <th>extra_pillows_and_blankets</th>\n",
       "      <th>dishwasher</th>\n",
       "      <th>patio_or_balcony</th>\n",
       "      <th>garden_or_backyard</th>\n",
       "      <th>luggage_dropoff_allowed</th>\n",
       "      <th>lock_on_bedroom_door</th>\n",
       "      <th>elevator</th>\n",
       "      <th>lockbox</th>\n",
       "      <th>bathtub</th>\n",
       "      <th>indoor_fireplace</th>\n",
       "      <th>gym</th>\n",
       "      <th>keypad</th>\n",
       "      <th>shower_gel</th>\n",
       "      <th>host_greets_you</th>\n",
       "      <th>bbq_grill</th>\n",
       "      <th>pool</th>\n",
       "      <th>days_hosting</th>\n",
       "      <th>days_since_first_review</th>\n",
       "      <th>days_since_last_review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22693</th>\n",
       "      <td>https://a0.muscache.com/pictures/a272d358-59df-4796-85a6-f19e6712ea45.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Throgs Neck</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>Private room in house</td>\n",
       "      <td>Private room</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 shared bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>50.000</td>\n",
       "      <td>30</td>\n",
       "      <td>1125</td>\n",
       "      <td>1</td>\n",
       "      <td>90</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>86.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.050</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1229.000</td>\n",
       "      <td>714.000</td>\n",
       "      <td>117.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25505</th>\n",
       "      <td>https://a0.muscache.com/pictures/9f429557-682a-48f4-a343-9d8d0c1c1c9f.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>0.970</td>\n",
       "      <td>0.000</td>\n",
       "      <td>23.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Glendale</td>\n",
       "      <td>Other Cities</td>\n",
       "      <td>Entire house</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.5 baths</td>\n",
       "      <td>2.000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>214.000</td>\n",
       "      <td>2</td>\n",
       "      <td>1125</td>\n",
       "      <td>1</td>\n",
       "      <td>79</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>100.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.530</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>251.000</td>\n",
       "      <td>169.000</td>\n",
       "      <td>21.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12980</th>\n",
       "      <td>https://a0.muscache.com/pictures/a6c84eb8-9650-4790-b1a0-0b95b509fc96.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>0.820</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Venice</td>\n",
       "      <td>City of Los Angeles</td>\n",
       "      <td>Entire house</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.5 baths</td>\n",
       "      <td>4.000</td>\n",
       "      <td>4.000</td>\n",
       "      <td>1503.000</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>92.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.740</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1770.000</td>\n",
       "      <td>1006.000</td>\n",
       "      <td>115.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6045</th>\n",
       "      <td>https://a0.muscache.com/pictures/337e9897-5ade-4848-ad61-78c4ac7ff9e3.jpg</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Santa Monica</td>\n",
       "      <td>Other Cities</td>\n",
       "      <td>Entire apartment</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.5 baths</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>199.000</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>99.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2534.000</td>\n",
       "      <td>1701.000</td>\n",
       "      <td>364.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4197</th>\n",
       "      <td>https://a0.muscache.com/pictures/f93ee0a0-ebbf-4dbe-95d9-5ab3b7a75a35.jpg</td>\n",
       "      <td>2</td>\n",
       "      <td>0.840</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Mission</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Private room in house</td>\n",
       "      <td>Private room</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1 private bath</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>89.000</td>\n",
       "      <td>2</td>\n",
       "      <td>1125</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>97.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.860</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3099.000</td>\n",
       "      <td>451.000</td>\n",
       "      <td>169.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                     picture_url  \\\n",
       "22693  https://a0.muscache.com/pictures/a272d358-59df-4796-85a6-f19e6712ea45.jpg   \n",
       "25505  https://a0.muscache.com/pictures/9f429557-682a-48f4-a343-9d8d0c1c1c9f.jpg   \n",
       "12980  https://a0.muscache.com/pictures/a6c84eb8-9650-4790-b1a0-0b95b509fc96.jpg   \n",
       "6045   https://a0.muscache.com/pictures/337e9897-5ade-4848-ad61-78c4ac7ff9e3.jpg   \n",
       "4197   https://a0.muscache.com/pictures/f93ee0a0-ebbf-4dbe-95d9-5ab3b7a75a35.jpg   \n",
       "\n",
       "       host_response_time  host_acceptance_rate host_is_superhost  \\\n",
       "22693                   1                 0.990             0.000   \n",
       "25505                   1                 0.970             0.000   \n",
       "12980                   1                 0.820             0.000   \n",
       "6045                    0                 1.000             0.000   \n",
       "4197                    2                 0.840             1.000   \n",
       "\n",
       "       host_listings_count host_has_profile_pic host_identity_verified  \\\n",
       "22693                9.000                1.000                  1.000   \n",
       "25505               23.000                1.000                  1.000   \n",
       "12980                1.000                1.000                  1.000   \n",
       "6045                 1.000                1.000                  0.000   \n",
       "4197                 2.000                1.000                  1.000   \n",
       "\n",
       "      neighbourhood_cleansed neighbourhood_group_cleansed  \\\n",
       "22693            Throgs Neck                        Bronx   \n",
       "25505               Glendale                 Other Cities   \n",
       "12980                 Venice          City of Los Angeles   \n",
       "6045            Santa Monica                 Other Cities   \n",
       "4197                 Mission                          NaN   \n",
       "\n",
       "               property_type        room_type  accommodates  bathrooms  \\\n",
       "22693  Private room in house     Private room             2        NaN   \n",
       "25505           Entire house  Entire home/apt             7        NaN   \n",
       "12980           Entire house  Entire home/apt             4        NaN   \n",
       "6045        Entire apartment  Entire home/apt             2        NaN   \n",
       "4197   Private room in house     Private room             4        NaN   \n",
       "\n",
       "       bathrooms_text  bedrooms  beds    price  minimum_nights  \\\n",
       "22693   1 shared bath     1.000 1.000   50.000              30   \n",
       "25505       1.5 baths     2.000 3.000  214.000               2   \n",
       "12980       4.5 baths     4.000 4.000 1503.000               2   \n",
       "6045        1.5 baths     2.000 1.000  199.000               2   \n",
       "4197   1 private bath     1.000 2.000   89.000               2   \n",
       "\n",
       "       maximum_nights has_availability  availability_90  number_of_reviews  \\\n",
       "22693            1125                1               90                 25   \n",
       "25505            1125                1               79                  3   \n",
       "12980              30                1               89                 25   \n",
       "6045               19                1                0                 19   \n",
       "4197             1125                1                4                 13   \n",
       "\n",
       "       number_of_reviews_l30d  review_scores_rating  review_scores_accuracy  \\\n",
       "22693                       0                86.000                   9.000   \n",
       "25505                       1               100.000                  10.000   \n",
       "12980                       0                92.000                   9.000   \n",
       "6045                        0                99.000                  10.000   \n",
       "4197                        0                97.000                  10.000   \n",
       "\n",
       "       review_scores_cleanliness  review_scores_checkin  \\\n",
       "22693                      9.000                  9.000   \n",
       "25505                     10.000                 10.000   \n",
       "12980                      9.000                  9.000   \n",
       "6045                      10.000                 10.000   \n",
       "4197                      10.000                 10.000   \n",
       "\n",
       "       review_scores_communication  review_scores_location  \\\n",
       "22693                        9.000                   9.000   \n",
       "25505                       10.000                  10.000   \n",
       "12980                        9.000                   9.000   \n",
       "6045                        10.000                  10.000   \n",
       "4197                        10.000                  10.000   \n",
       "\n",
       "       review_scores_value instant_bookable  reviews_per_month boston  \\\n",
       "22693                9.000                1              1.050      0   \n",
       "25505               10.000                1              0.530      0   \n",
       "12980                9.000                0              0.740      0   \n",
       "6045                 9.000                1              0.330      0   \n",
       "4197                10.000                0              0.860      0   \n",
       "\n",
       "      cambridge chicago los angeles nashville new york city san francisco  \\\n",
       "22693         0       0           0         0             1             0   \n",
       "25505         0       0           1         0             0             0   \n",
       "12980         0       0           1         0             0             0   \n",
       "6045          0       0           1         0             0             0   \n",
       "4197          0       0           0         0             0             1   \n",
       "\n",
       "      seattle kitchen hangers carbon_monoxide_alarm air_conditioning  \\\n",
       "22693       0       0       1                     1                1   \n",
       "25505       0       1       1                     1                0   \n",
       "12980       0       1       1                     1                1   \n",
       "6045        0       1       1                     1                1   \n",
       "4197        0       1       1                     1                0   \n",
       "\n",
       "      hair_dryer shampoo iron dedicated_workspace hot_water washer dryer  \\\n",
       "22693          1       1    1                   1         1      0     0   \n",
       "25505          1       1    1                   0         0      1     1   \n",
       "12980          1       1    1                   1         1      1     1   \n",
       "6045           1       1    1                   1         1      1     1   \n",
       "4197           1       1    1                   1         1      0     0   \n",
       "\n",
       "      refrigerator dishes_and_silverware fire_extinguisher microwave  \\\n",
       "22693            1                     0                 1         1   \n",
       "25505            0                     0                 1         0   \n",
       "12980            1                     1                 1         1   \n",
       "6045             1                     1                 1         0   \n",
       "4197             1                     1                 0         1   \n",
       "\n",
       "      coffee_maker cooking_basics stove oven bed_linens free_street_parking  \\\n",
       "22693            1              0     1    1          0                   1   \n",
       "25505            0              1     0    0          0                   0   \n",
       "12980            1              1     1    1          1                   1   \n",
       "6045             0              1     1    1          1                   1   \n",
       "4197             0              1     1    1          1                   0   \n",
       "\n",
       "      first_aid_kit private_entrance free_parking_on_premises  \\\n",
       "22693             0                0                        0   \n",
       "25505             1                1                        1   \n",
       "12980             0                1                        1   \n",
       "6045              1                0                        1   \n",
       "4197              0                0                        0   \n",
       "\n",
       "      extra_pillows_and_blankets dishwasher patio_or_balcony  \\\n",
       "22693                          0          1                0   \n",
       "25505                          0          0                0   \n",
       "12980                          1          1                1   \n",
       "6045                           1          1                1   \n",
       "4197                           0          0                0   \n",
       "\n",
       "      garden_or_backyard luggage_dropoff_allowed lock_on_bedroom_door  \\\n",
       "22693                  0                       1                    1   \n",
       "25505                  0                       0                    0   \n",
       "12980                  0                       0                    0   \n",
       "6045                   0                       1                    0   \n",
       "4197                   0                       0                    1   \n",
       "\n",
       "      elevator lockbox bathtub indoor_fireplace gym keypad shower_gel  \\\n",
       "22693        0       0       0                1   0      0          0   \n",
       "25505        0       0       0                0   0      0          0   \n",
       "12980        0       0       0                1   0      0          0   \n",
       "6045         1       1       1                1   0      0          0   \n",
       "4197         0       0       0                0   0      0          0   \n",
       "\n",
       "      host_greets_you bbq_grill pool  days_hosting  days_since_first_review  \\\n",
       "22693               1         0    0      1229.000                  714.000   \n",
       "25505               0         0    0       251.000                  169.000   \n",
       "12980               0         0    0      1770.000                 1006.000   \n",
       "6045                0         0    0      2534.000                 1701.000   \n",
       "4197                0         0    0      3099.000                  451.000   \n",
       "\n",
       "       days_since_last_review  \n",
       "22693                 117.000  \n",
       "25505                  21.000  \n",
       "12980                 115.000  \n",
       "6045                  364.000  \n",
       "4197                  169.000  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "alpha-climb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1 bath               45378\n",
       "1 shared bath        15497\n",
       "2 baths               9870\n",
       "1 private bath        7186\n",
       "1.5 baths             3244\n",
       "2.5 baths             2194\n",
       "2 shared baths        2029\n",
       "1.5 shared baths      1810\n",
       "3 baths               1702\n",
       "3.5 baths             1131\n",
       "4 baths                582\n",
       "4.5 baths              354\n",
       "3 shared baths         306\n",
       "2.5 shared baths       274\n",
       "0 shared baths         204\n",
       "5 baths                176\n",
       "5.5 baths              127\n",
       "0 baths                116\n",
       "4 shared baths         114\n",
       "6 baths                 87\n",
       "5 shared baths          85\n",
       "Half-bath               83\n",
       "8 baths                 58\n",
       "7 baths                 57\n",
       "Shared half-bath        56\n",
       "6.5 baths               54\n",
       "3.5 shared baths        45\n",
       "Private half-bath       34\n",
       "11 shared baths         32\n",
       "7.5 baths               32\n",
       "6 shared baths          30\n",
       "8 shared baths          28\n",
       "8.5 baths               16\n",
       "10 shared baths         16\n",
       "9 baths                 14\n",
       "10 baths                10\n",
       "4.5 shared baths         9\n",
       "8.5 shared baths         6\n",
       "11 baths                 5\n",
       "6.5 shared baths         5\n",
       "10.5 baths               4\n",
       "12.5 baths               3\n",
       "14 baths                 3\n",
       "16 shared baths          3\n",
       "13 baths                 3\n",
       "12 baths                 3\n",
       "9.5 baths                2\n",
       "11.5 shared baths        2\n",
       "5.5 shared baths         2\n",
       "16 baths                 2\n",
       "7 shared baths           2\n",
       "11.5 baths               2\n",
       "15.5 baths               2\n",
       "42 baths                 1\n",
       "25 baths                 1\n",
       "15 shared baths          1\n",
       "17 baths                 1\n",
       "Name: bathrooms_text, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.bathrooms_text.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "cubic-kernel",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"bathrooms\"] = data.bathrooms_text.replace({\"half\":\"0.5\", \"Half\":\"0.5\"}, regex=True).replace(\"[a-zA-Z-\\s]\", \"\", regex=True).astype(float)\n",
    "data.drop(columns=[\"bathrooms_text\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "casual-following",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"beds\"] = data[[\"bedrooms\", \"beds\"]].max(axis=1)\n",
    "data.drop(columns=[\"bedrooms\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "sustained-blank",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
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       "\n",
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       "        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>picture_url</th>\n",
       "      <th>host_response_time</th>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <th>host_is_superhost</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <th>property_type</th>\n",
       "      <th>room_type</th>\n",
       "      <th>accommodates</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>beds</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>maximum_nights</th>\n",
       "      <th>has_availability</th>\n",
       "      <th>availability_90</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <th>review_scores_rating</th>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <th>review_scores_communication</th>\n",
       "      <th>review_scores_location</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>boston</th>\n",
       "      <th>cambridge</th>\n",
       "      <th>chicago</th>\n",
       "      <th>los angeles</th>\n",
       "      <th>nashville</th>\n",
       "      <th>new york city</th>\n",
       "      <th>san francisco</th>\n",
       "      <th>seattle</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>hangers</th>\n",
       "      <th>carbon_monoxide_alarm</th>\n",
       "      <th>air_conditioning</th>\n",
       "      <th>hair_dryer</th>\n",
       "      <th>shampoo</th>\n",
       "      <th>iron</th>\n",
       "      <th>dedicated_workspace</th>\n",
       "      <th>hot_water</th>\n",
       "      <th>washer</th>\n",
       "      <th>dryer</th>\n",
       "      <th>refrigerator</th>\n",
       "      <th>dishes_and_silverware</th>\n",
       "      <th>fire_extinguisher</th>\n",
       "      <th>microwave</th>\n",
       "      <th>coffee_maker</th>\n",
       "      <th>cooking_basics</th>\n",
       "      <th>stove</th>\n",
       "      <th>oven</th>\n",
       "      <th>bed_linens</th>\n",
       "      <th>free_street_parking</th>\n",
       "      <th>first_aid_kit</th>\n",
       "      <th>private_entrance</th>\n",
       "      <th>free_parking_on_premises</th>\n",
       "      <th>extra_pillows_and_blankets</th>\n",
       "      <th>dishwasher</th>\n",
       "      <th>patio_or_balcony</th>\n",
       "      <th>garden_or_backyard</th>\n",
       "      <th>luggage_dropoff_allowed</th>\n",
       "      <th>lock_on_bedroom_door</th>\n",
       "      <th>elevator</th>\n",
       "      <th>lockbox</th>\n",
       "      <th>bathtub</th>\n",
       "      <th>indoor_fireplace</th>\n",
       "      <th>gym</th>\n",
       "      <th>keypad</th>\n",
       "      <th>shower_gel</th>\n",
       "      <th>host_greets_you</th>\n",
       "      <th>bbq_grill</th>\n",
       "      <th>pool</th>\n",
       "      <th>days_hosting</th>\n",
       "      <th>days_since_first_review</th>\n",
       "      <th>days_since_last_review</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>31588</th>\n",
       "      <td>https://a0.muscache.com/pictures/de4dfe7a-9d71-46b6-a1d5-38f6081577ea.jpg</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>Chelsea</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Entire apartment</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>6</td>\n",
       "      <td>2.000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>300.000</td>\n",
       "      <td>30</td>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1884.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5132</th>\n",
       "      <td>https://a0.muscache.com/pictures/miso/Hosting-45138953/original/4c1e22e2-98b3-4664-bbb8-e0557a6c...</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>District 19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Entire loft</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>73.000</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>74</td>\n",
       "      <td>36</td>\n",
       "      <td>6</td>\n",
       "      <td>98.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>1</td>\n",
       "      <td>6.470</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>828.000</td>\n",
       "      <td>166.000</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34080</th>\n",
       "      <td>https://a0.muscache.com/pictures/bc0e94a6-a80a-4077-aed9-fbff97fee119.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>0.990</td>\n",
       "      <td>1.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Long Island City</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Entire house</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>8</td>\n",
       "      <td>2.000</td>\n",
       "      <td>4.000</td>\n",
       "      <td>350.000</td>\n",
       "      <td>5</td>\n",
       "      <td>1125</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2096.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29715</th>\n",
       "      <td>https://a0.muscache.com/pictures/miso/Hosting-46732279/original/bd906864-d64b-4ab6-bf01-2cbc5322...</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Bellflower</td>\n",
       "      <td>Other Cities</td>\n",
       "      <td>Entire house</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>4</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>130.000</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>399.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18079</th>\n",
       "      <td>https://a0.muscache.com/pictures/3be242cf-100f-4af0-9139-c42d7d3d055e.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>0.670</td>\n",
       "      <td>0.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>Battery Park City</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Entire apartment</td>\n",
       "      <td>Entire home/apt</td>\n",
       "      <td>7</td>\n",
       "      <td>2.000</td>\n",
       "      <td>4.000</td>\n",
       "      <td>200.000</td>\n",
       "      <td>60</td>\n",
       "      <td>1125</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2374.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                               picture_url  \\\n",
       "31588                            https://a0.muscache.com/pictures/de4dfe7a-9d71-46b6-a1d5-38f6081577ea.jpg   \n",
       "5132   https://a0.muscache.com/pictures/miso/Hosting-45138953/original/4c1e22e2-98b3-4664-bbb8-e0557a6c...   \n",
       "34080                            https://a0.muscache.com/pictures/bc0e94a6-a80a-4077-aed9-fbff97fee119.jpg   \n",
       "29715  https://a0.muscache.com/pictures/miso/Hosting-46732279/original/bd906864-d64b-4ab6-bf01-2cbc5322...   \n",
       "18079                            https://a0.muscache.com/pictures/3be242cf-100f-4af0-9139-c42d7d3d055e.jpg   \n",
       "\n",
       "       host_response_time  host_acceptance_rate host_is_superhost  \\\n",
       "31588                   0                   NaN             0.000   \n",
       "5132                    1                 1.000             1.000   \n",
       "34080                   1                 0.990             1.000   \n",
       "29715                   3                 0.000             0.000   \n",
       "18079                   1                 0.670             0.000   \n",
       "\n",
       "       host_listings_count host_has_profile_pic host_identity_verified  \\\n",
       "31588                0.000                1.000                  0.000   \n",
       "5132                 3.000                1.000                  1.000   \n",
       "34080                5.000                1.000                  1.000   \n",
       "29715                0.000                1.000                  1.000   \n",
       "18079                5.000                1.000                  1.000   \n",
       "\n",
       "      neighbourhood_cleansed neighbourhood_group_cleansed     property_type  \\\n",
       "31588                Chelsea                    Manhattan  Entire apartment   \n",
       "5132             District 19                          NaN       Entire loft   \n",
       "34080       Long Island City                       Queens      Entire house   \n",
       "29715             Bellflower                 Other Cities      Entire house   \n",
       "18079      Battery Park City                    Manhattan  Entire apartment   \n",
       "\n",
       "             room_type  accommodates  bathrooms  beds   price  minimum_nights  \\\n",
       "31588  Entire home/apt             6      2.000 3.000 300.000              30   \n",
       "5132   Entire home/apt             2      1.000 1.000  73.000               1   \n",
       "34080  Entire home/apt             8      2.000 4.000 350.000               5   \n",
       "29715  Entire home/apt             4      1.000 2.000 130.000               2   \n",
       "18079  Entire home/apt             7      2.000 4.000 200.000              60   \n",
       "\n",
       "       maximum_nights has_availability  availability_90  number_of_reviews  \\\n",
       "31588              63                1                0                  0   \n",
       "5132               29                1               74                 36   \n",
       "34080            1125                1               89                  0   \n",
       "29715               7                1               42                  0   \n",
       "18079            1125                1                0                  0   \n",
       "\n",
       "       number_of_reviews_l30d  review_scores_rating  review_scores_accuracy  \\\n",
       "31588                       0                   NaN                     NaN   \n",
       "5132                        6                98.000                  10.000   \n",
       "34080                       0                   NaN                     NaN   \n",
       "29715                       0                   NaN                     NaN   \n",
       "18079                       0                   NaN                     NaN   \n",
       "\n",
       "       review_scores_cleanliness  review_scores_checkin  \\\n",
       "31588                        NaN                    NaN   \n",
       "5132                      10.000                 10.000   \n",
       "34080                        NaN                    NaN   \n",
       "29715                        NaN                    NaN   \n",
       "18079                        NaN                    NaN   \n",
       "\n",
       "       review_scores_communication  review_scores_location  \\\n",
       "31588                          NaN                     NaN   \n",
       "5132                        10.000                  10.000   \n",
       "34080                          NaN                     NaN   \n",
       "29715                          NaN                     NaN   \n",
       "18079                          NaN                     NaN   \n",
       "\n",
       "       review_scores_value instant_bookable  reviews_per_month boston  \\\n",
       "31588                  NaN                1                NaN      0   \n",
       "5132                10.000                1              6.470      0   \n",
       "34080                  NaN                1                NaN      0   \n",
       "29715                  NaN                1                NaN      0   \n",
       "18079                  NaN                0                NaN      0   \n",
       "\n",
       "      cambridge chicago los angeles nashville new york city san francisco  \\\n",
       "31588         0       0           0         0             1             0   \n",
       "5132          0       0           0         1             0             0   \n",
       "34080         0       0           0         0             1             0   \n",
       "29715         0       0           1         0             0             0   \n",
       "18079         0       0           0         0             1             0   \n",
       "\n",
       "      seattle kitchen hangers carbon_monoxide_alarm air_conditioning  \\\n",
       "31588       0       1       1                     1                1   \n",
       "5132        0       1       1                     0                1   \n",
       "34080       0       1       1                     1                1   \n",
       "29715       0       1       1                     1                1   \n",
       "18079       0       1       1                     1                1   \n",
       "\n",
       "      hair_dryer shampoo iron dedicated_workspace hot_water washer dryer  \\\n",
       "31588          0       1    0                   1         0      1     1   \n",
       "5132           1       1    1                   0         1      1     1   \n",
       "34080          1       1    1                   1         0      1     1   \n",
       "29715          1       1    1                   1         0      1     0   \n",
       "18079          1       0    1                   1         0      1     1   \n",
       "\n",
       "      refrigerator dishes_and_silverware fire_extinguisher microwave  \\\n",
       "31588            0                     0                 0         0   \n",
       "5132             1                     1                 1         1   \n",
       "34080            1                     1                 1         1   \n",
       "29715            0                     0                 0         0   \n",
       "18079            0                     0                 0         0   \n",
       "\n",
       "      coffee_maker cooking_basics stove oven bed_linens free_street_parking  \\\n",
       "31588            0              0     0    0          0                   0   \n",
       "5132             0              1     1    1          1                   0   \n",
       "34080            1              1     1    1          1                   1   \n",
       "29715            0              0     0    0          0                   0   \n",
       "18079            0              0     0    0          0                   0   \n",
       "\n",
       "      first_aid_kit private_entrance free_parking_on_premises  \\\n",
       "31588             0                0                        0   \n",
       "5132              0                0                        0   \n",
       "34080             1                1                        1   \n",
       "29715             0                1                        1   \n",
       "18079             1                1                        0   \n",
       "\n",
       "      extra_pillows_and_blankets dishwasher patio_or_balcony  \\\n",
       "31588                          0          0                0   \n",
       "5132                           0          1                1   \n",
       "34080                          1          1                0   \n",
       "29715                          0          0                0   \n",
       "18079                          0          0                0   \n",
       "\n",
       "      garden_or_backyard luggage_dropoff_allowed lock_on_bedroom_door  \\\n",
       "31588                  0                       0                    0   \n",
       "5132                   0                       0                    0   \n",
       "34080                  1                       1                    0   \n",
       "29715                  0                       0                    0   \n",
       "18079                  0                       0                    0   \n",
       "\n",
       "      elevator lockbox bathtub indoor_fireplace gym keypad shower_gel  \\\n",
       "31588        0       0       0                0   0      0          0   \n",
       "5132         0       0       1                0   1      0          1   \n",
       "34080        0       0       1                1   0      1          1   \n",
       "29715        0       0       0                0   0      0          0   \n",
       "18079        1       0       0                0   1      0          0   \n",
       "\n",
       "      host_greets_you bbq_grill pool  days_hosting  days_since_first_review  \\\n",
       "31588               0         0    0      1884.000                      NaN   \n",
       "5132                0         1    1       828.000                  166.000   \n",
       "34080               0         1    0      2096.000                      NaN   \n",
       "29715               0         0    0       399.000                      NaN   \n",
       "18079               0         0    0      2374.000                      NaN   \n",
       "\n",
       "       days_since_last_review  \n",
       "31588                     NaN  \n",
       "5132                    1.000  \n",
       "34080                     NaN  \n",
       "29715                     NaN  \n",
       "18079                     NaN  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "champion-habitat",
   "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>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <td>25793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_value</th>\n",
       "      <td>22724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_location</th>\n",
       "      <td>22720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <td>22717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <td>22692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_communication</th>\n",
       "      <td>22690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <td>22678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>neighbourhood_group_cleansed</th>\n",
       "      <td>22354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_rating</th>\n",
       "      <td>22341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviews_per_month</th>\n",
       "      <td>21151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_since_last_review</th>\n",
       "      <td>21151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_since_first_review</th>\n",
       "      <td>21151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beds</th>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_is_superhost</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_listings_count</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_identity_verified</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_hosting</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oven</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bed_linens</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>free_street_parking</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>patio_or_balcony</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stove</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>first_aid_kit</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cooking_basics</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coffee_maker</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>microwave</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>private_entrance</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fire_extinguisher</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>free_parking_on_premises</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>extra_pillows_and_blankets</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bbq_grill</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>garden_or_backyard</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>luggage_dropoff_allowed</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lock_on_bedroom_door</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elevator</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>refrigerator</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pool</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lockbox</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathtub</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>indoor_fireplace</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gym</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>keypad</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shower_gel</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_greets_you</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishes_and_silverware</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>picture_url</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dryer</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>washer</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>property_type</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>room_type</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accommodates</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minimum_nights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maximum_nights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>has_availability</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>availability_90</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instant_bookable</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>boston</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cambridge</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chicago</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>los angeles</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nashville</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>new york city</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>san francisco</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seattle</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kitchen</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hangers</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_response_time</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air_conditioning</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hair_dryer</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shampoo</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iron</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dedicated_workspace</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hot_water</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carbon_monoxide_alarm</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  0\n",
       "host_acceptance_rate          25793\n",
       "review_scores_value           22724\n",
       "review_scores_location        22720\n",
       "review_scores_checkin         22717\n",
       "review_scores_accuracy        22692\n",
       "review_scores_communication   22690\n",
       "review_scores_cleanliness     22678\n",
       "neighbourhood_group_cleansed  22354\n",
       "review_scores_rating          22341\n",
       "reviews_per_month             21151\n",
       "days_since_last_review        21151\n",
       "days_since_first_review       21151\n",
       "beds                            175\n",
       "bathrooms                       163\n",
       "host_is_superhost                62\n",
       "host_listings_count              62\n",
       "host_has_profile_pic             62\n",
       "host_identity_verified           62\n",
       "days_hosting                     62\n",
       "oven                              0\n",
       "bed_linens                        0\n",
       "free_street_parking               0\n",
       "patio_or_balcony                  0\n",
       "stove                             0\n",
       "first_aid_kit                     0\n",
       "cooking_basics                    0\n",
       "coffee_maker                      0\n",
       "microwave                         0\n",
       "private_entrance                  0\n",
       "fire_extinguisher                 0\n",
       "free_parking_on_premises          0\n",
       "extra_pillows_and_blankets        0\n",
       "dishwasher                        0\n",
       "bbq_grill                         0\n",
       "garden_or_backyard                0\n",
       "luggage_dropoff_allowed           0\n",
       "lock_on_bedroom_door              0\n",
       "elevator                          0\n",
       "refrigerator                      0\n",
       "pool                              0\n",
       "lockbox                           0\n",
       "bathtub                           0\n",
       "indoor_fireplace                  0\n",
       "gym                               0\n",
       "keypad                            0\n",
       "shower_gel                        0\n",
       "host_greets_you                   0\n",
       "dishes_and_silverware             0\n",
       "picture_url                       0\n",
       "dryer                             0\n",
       "washer                            0\n",
       "neighbourhood_cleansed            0\n",
       "property_type                     0\n",
       "room_type                         0\n",
       "accommodates                      0\n",
       "price                             0\n",
       "minimum_nights                    0\n",
       "maximum_nights                    0\n",
       "has_availability                  0\n",
       "availability_90                   0\n",
       "number_of_reviews                 0\n",
       "number_of_reviews_l30d            0\n",
       "instant_bookable                  0\n",
       "boston                            0\n",
       "cambridge                         0\n",
       "chicago                           0\n",
       "los angeles                       0\n",
       "nashville                         0\n",
       "new york city                     0\n",
       "san francisco                     0\n",
       "seattle                           0\n",
       "kitchen                           0\n",
       "hangers                           0\n",
       "host_response_time                0\n",
       "air_conditioning                  0\n",
       "hair_dryer                        0\n",
       "shampoo                           0\n",
       "iron                              0\n",
       "dedicated_workspace               0\n",
       "hot_water                         0\n",
       "carbon_monoxide_alarm             0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum().to_frame().sort_values(0, ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "promising-suite",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"been_reviewed\"] = (data[\"number_of_reviews\"] > 0).astype(int).astype(\"category\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "first-citizenship",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>host_response_time</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>0.999</td>\n",
       "      <td>1.032</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>4.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <td>67463.000</td>\n",
       "      <td>0.843</td>\n",
       "      <td>0.251</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.800</td>\n",
       "      <td>0.960</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_listings_count</th>\n",
       "      <td>93194.000</td>\n",
       "      <td>44.184</td>\n",
       "      <td>244.402</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>5.000</td>\n",
       "      <td>7421.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accommodates</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>3.431</td>\n",
       "      <td>2.481</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>4.000</td>\n",
       "      <td>16.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>93093.000</td>\n",
       "      <td>1.355</td>\n",
       "      <td>0.851</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.500</td>\n",
       "      <td>42.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beds</th>\n",
       "      <td>93081.000</td>\n",
       "      <td>1.920</td>\n",
       "      <td>1.671</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>66.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>179.222</td>\n",
       "      <td>480.638</td>\n",
       "      <td>0.000</td>\n",
       "      <td>69.000</td>\n",
       "      <td>105.000</td>\n",
       "      <td>175.000</td>\n",
       "      <td>25000.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minimum_nights</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>1092.081</td>\n",
       "      <td>327462.463</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>30.000</td>\n",
       "      <td>30.000</td>\n",
       "      <td>100000000.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maximum_nights</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>25210.445</td>\n",
       "      <td>7040427.093</td>\n",
       "      <td>1.000</td>\n",
       "      <td>62.000</td>\n",
       "      <td>1125.000</td>\n",
       "      <td>1125.000</td>\n",
       "      <td>2147483647.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>availability_90</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>43.577</td>\n",
       "      <td>38.611</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>48.000</td>\n",
       "      <td>87.000</td>\n",
       "      <td>90.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>34.576</td>\n",
       "      <td>65.875</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>7.000</td>\n",
       "      <td>37.000</td>\n",
       "      <td>948.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <td>93256.000</td>\n",
       "      <td>0.329</td>\n",
       "      <td>1.190</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>98.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_rating</th>\n",
       "      <td>70915.000</td>\n",
       "      <td>94.475</td>\n",
       "      <td>8.992</td>\n",
       "      <td>20.000</td>\n",
       "      <td>93.000</td>\n",
       "      <td>97.000</td>\n",
       "      <td>100.000</td>\n",
       "      <td>100.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <td>70564.000</td>\n",
       "      <td>9.641</td>\n",
       "      <td>0.884</td>\n",
       "      <td>2.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <td>70578.000</td>\n",
       "      <td>9.421</td>\n",
       "      <td>1.023</td>\n",
       "      <td>2.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <td>70539.000</td>\n",
       "      <td>9.767</td>\n",
       "      <td>0.760</td>\n",
       "      <td>2.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_communication</th>\n",
       "      <td>70566.000</td>\n",
       "      <td>9.746</td>\n",
       "      <td>0.807</td>\n",
       "      <td>2.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_location</th>\n",
       "      <td>70536.000</td>\n",
       "      <td>9.674</td>\n",
       "      <td>0.750</td>\n",
       "      <td>2.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_value</th>\n",
       "      <td>70532.000</td>\n",
       "      <td>9.423</td>\n",
       "      <td>0.958</td>\n",
       "      <td>2.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviews_per_month</th>\n",
       "      <td>72105.000</td>\n",
       "      <td>1.261</td>\n",
       "      <td>1.592</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.180</td>\n",
       "      <td>0.650</td>\n",
       "      <td>1.820</td>\n",
       "      <td>40.310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_hosting</th>\n",
       "      <td>93194.000</td>\n",
       "      <td>1898.543</td>\n",
       "      <td>943.137</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1190.250</td>\n",
       "      <td>1924.000</td>\n",
       "      <td>2576.000</td>\n",
       "      <td>4610.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_since_first_review</th>\n",
       "      <td>72105.000</td>\n",
       "      <td>1112.764</td>\n",
       "      <td>773.892</td>\n",
       "      <td>1.000</td>\n",
       "      <td>505.000</td>\n",
       "      <td>965.000</td>\n",
       "      <td>1647.000</td>\n",
       "      <td>4514.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_since_last_review</th>\n",
       "      <td>72105.000</td>\n",
       "      <td>397.779</td>\n",
       "      <td>488.141</td>\n",
       "      <td>0.000</td>\n",
       "      <td>45.000</td>\n",
       "      <td>229.000</td>\n",
       "      <td>501.000</td>\n",
       "      <td>3971.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                count      mean         std    min      25%  \\\n",
       "host_response_time          93256.000     0.999       1.032  0.000    0.000   \n",
       "host_acceptance_rate        67463.000     0.843       0.251  0.000    0.800   \n",
       "host_listings_count         93194.000    44.184     244.402  0.000    1.000   \n",
       "accommodates                93256.000     3.431       2.481  0.000    2.000   \n",
       "bathrooms                   93093.000     1.355       0.851  0.000    1.000   \n",
       "beds                        93081.000     1.920       1.671  0.000    1.000   \n",
       "price                       93256.000   179.222     480.638  0.000   69.000   \n",
       "minimum_nights              93256.000  1092.081  327462.463  1.000    2.000   \n",
       "maximum_nights              93256.000 25210.445 7040427.093  1.000   62.000   \n",
       "availability_90             93256.000    43.577      38.611  0.000    0.000   \n",
       "number_of_reviews           93256.000    34.576      65.875  0.000    1.000   \n",
       "number_of_reviews_l30d      93256.000     0.329       1.190  0.000    0.000   \n",
       "review_scores_rating        70915.000    94.475       8.992 20.000   93.000   \n",
       "review_scores_accuracy      70564.000     9.641       0.884  2.000   10.000   \n",
       "review_scores_cleanliness   70578.000     9.421       1.023  2.000    9.000   \n",
       "review_scores_checkin       70539.000     9.767       0.760  2.000   10.000   \n",
       "review_scores_communication 70566.000     9.746       0.807  2.000   10.000   \n",
       "review_scores_location      70536.000     9.674       0.750  2.000   10.000   \n",
       "review_scores_value         70532.000     9.423       0.958  2.000    9.000   \n",
       "reviews_per_month           72105.000     1.261       1.592  0.010    0.180   \n",
       "days_hosting                93194.000  1898.543     943.137  2.000 1190.250   \n",
       "days_since_first_review     72105.000  1112.764     773.892  1.000  505.000   \n",
       "days_since_last_review      72105.000   397.779     488.141  0.000   45.000   \n",
       "\n",
       "                                 50%      75%            max  \n",
       "host_response_time             1.000    1.000          4.000  \n",
       "host_acceptance_rate           0.960    1.000          1.000  \n",
       "host_listings_count            1.000    5.000       7421.000  \n",
       "accommodates                   2.000    4.000         16.000  \n",
       "bathrooms                      1.000    1.500         42.000  \n",
       "beds                           1.000    2.000         66.000  \n",
       "price                        105.000  175.000      25000.000  \n",
       "minimum_nights                30.000   30.000  100000000.000  \n",
       "maximum_nights              1125.000 1125.000 2147483647.000  \n",
       "availability_90               48.000   87.000         90.000  \n",
       "number_of_reviews              7.000   37.000        948.000  \n",
       "number_of_reviews_l30d         0.000    0.000         98.000  \n",
       "review_scores_rating          97.000  100.000        100.000  \n",
       "review_scores_accuracy        10.000   10.000         10.000  \n",
       "review_scores_cleanliness     10.000   10.000         10.000  \n",
       "review_scores_checkin         10.000   10.000         10.000  \n",
       "review_scores_communication   10.000   10.000         10.000  \n",
       "review_scores_location        10.000   10.000         10.000  \n",
       "review_scores_value           10.000   10.000         10.000  \n",
       "reviews_per_month              0.650    1.820         40.310  \n",
       "days_hosting                1924.000 2576.000       4610.000  \n",
       "days_since_first_review      965.000 1647.000       4514.000  \n",
       "days_since_last_review       229.000  501.000       3971.000  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "noticed-journalist",
   "metadata": {},
   "source": [
    "# One-hot encode property type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "charitable-heater",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Entire apartment                      31629\n",
       "Private room in apartment             16164\n",
       "Entire house                          10232\n",
       "Private room in house                  8902\n",
       "Entire condominium                     4874\n",
       "Entire guest suite                     2641\n",
       "Entire guesthouse                      2145\n",
       "Entire townhouse                       2069\n",
       "Private room in townhouse              1772\n",
       "Private room in condominium            1579\n",
       "Entire loft                            1449\n",
       "Entire serviced apartment              1311\n",
       "Room in boutique hotel                 1154\n",
       "Shared room in apartment                839\n",
       "Entire bungalow                         735\n",
       "Room in hotel                           652\n",
       "Shared room in house                    579\n",
       "Private room in guest suite             540\n",
       "Private room in loft                    484\n",
       "Entire villa                            460\n",
       "Private room in villa                   301\n",
       "Private room in bungalow                293\n",
       "Entire cottage                          256\n",
       "Private room in bed and breakfast       241\n",
       "Room in aparthotel                      193\n",
       "Private room in guesthouse              168\n",
       "Camper/RV                               133\n",
       "Private room in hostel                  121\n",
       "Tiny house                              112\n",
       "Shared room in hostel                    97\n",
       "Room in serviced apartment               81\n",
       "Entire place                             71\n",
       "Private room in resort                   59\n",
       "Private room                             59\n",
       "Private room in serviced apartment       59\n",
       "Shared room in condominium               57\n",
       "Entire cabin                             52\n",
       "Shared room in loft                      46\n",
       "Room in hostel                           38\n",
       "Entire home/apt                          36\n",
       "Shared room in townhouse                 36\n",
       "Private room in cottage                  36\n",
       "Private room in tiny house               31\n",
       "Entire bed and breakfast                 29\n",
       "Shared room in bed and breakfast         26\n",
       "Boat                                     25\n",
       "Room in bed and breakfast                22\n",
       "Farm stay                                19\n",
       "Private room in earth house              18\n",
       "Shared room in guest suite               17\n",
       "Shared room in guesthouse                17\n",
       "Private room in farm stay                16\n",
       "Entire floor                             15\n",
       "Campsite                                 13\n",
       "Shared room in bungalow                  12\n",
       "Private room in castle                   12\n",
       "Private room in cabin                    12\n",
       "Private room in camper/rv                12\n",
       "Entire resort                            11\n",
       "Shared room in villa                     11\n",
       "Houseboat                                11\n",
       "Castle                                   10\n",
       "Barn                                     10\n",
       "Shared room in boutique hotel            10\n",
       "Shared room in serviced apartment         8\n",
       "Shared room                               8\n",
       "Treehouse                                 7\n",
       "Tent                                      6\n",
       "Shared room in aparthotel                 6\n",
       "Private room in tent                      6\n",
       "Yurt                                      5\n",
       "Private room in treehouse                 5\n",
       "Private room in boat                      5\n",
       "Private room in casa particular           5\n",
       "Earth house                               5\n",
       "Private room in nature lodge              5\n",
       "Private room in tipi                      4\n",
       "Shared room in earth house                4\n",
       "Private room in barn                      4\n",
       "Shared room in farm stay                  3\n",
       "Bus                                       3\n",
       "Hut                                       3\n",
       "Private room in floor                     3\n",
       "Entire chalet                             3\n",
       "Cave                                      3\n",
       "Private room in minsu                     2\n",
       "Dome house                                2\n",
       "Private room in dome house                2\n",
       "Shared room in tiny house                 2\n",
       "Shared room in cottage                    2\n",
       "Casa particular                           2\n",
       "Tipi                                      2\n",
       "Private room in hut                       2\n",
       "Train                                     2\n",
       "Shared room in dome house                 2\n",
       "Shared room in island                     1\n",
       "Shared room in cabin                      1\n",
       "Shared room in dorm                       1\n",
       "Shared room in floor                      1\n",
       "Private room in yurt                      1\n",
       "Room in resort                            1\n",
       "Shared room in cave                       1\n",
       "Private room in chalet                    1\n",
       "Private room in houseboat                 1\n",
       "Shared room in tent                       1\n",
       "Shared room in igloo                      1\n",
       "Shared room in boat                       1\n",
       "Entire in-law                             1\n",
       "Shared room in camper/rv                  1\n",
       "Shared room in hotel                      1\n",
       "Private room in train                     1\n",
       "Entire vacation home                      1\n",
       "Private room in lighthouse                1\n",
       "Lighthouse                                1\n",
       "Private room in island                    1\n",
       "Private room in in-law                    1\n",
       "Name: property_type, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"property_type\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "lonely-support",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_room_type(s):\n",
    "    if(re.search(\"Entire (apartment|loft|condominium|serviced apartment)\", s)):\n",
    "        return \"entire apartment\"\n",
    "    elif(re.search(\"Entire (house|villa|bungalow|townhouse|cottage|cabin|place|guesthouse)\", s)):\n",
    "        return \"entire house\"\n",
    "    elif(re.search(\"Private room\", s)):\n",
    "        return \"private room\"\n",
    "    elif(re.search(\"(hotel)\", s)):\n",
    "        return \"hotel room\"\n",
    "#     elif(re.search(\"Shared room \", s)):\n",
    "#         return \"shared room\"\n",
    "#     elif(re.search(\"guest suite\", s)):\n",
    "#         return \"guest suite\"\n",
    "    else:\n",
    "        return \"other\"\n",
    "    \n",
    "data[\"listing_type\"] = data[\"property_type\"].apply(lambda s: get_room_type(s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "preliminary-convert",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.concat([data, pd.get_dummies(data[\"listing_type\"]).astype(\"category\")], axis=1)\n",
    "data.drop(columns=[\"property_type\", \"room_type\", \"listing_type\"], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "impressive-luxury",
   "metadata": {},
   "source": [
    "# One-hot encode neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "artificial-simpson",
   "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>neighbourhood</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Williamsburg</td>\n",
       "      <td>2689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bedford-Stuyvesant</td>\n",
       "      <td>2670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harlem</td>\n",
       "      <td>1939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bushwick</td>\n",
       "      <td>1645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Venice</td>\n",
       "      <td>1534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Hollywood</td>\n",
       "      <td>1488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Long Beach</td>\n",
       "      <td>1472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hell's Kitchen</td>\n",
       "      <td>1447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>1436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Midtown</td>\n",
       "      <td>1369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>1316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>District 19</td>\n",
       "      <td>1313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>East Village</td>\n",
       "      <td>1305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Downtown</td>\n",
       "      <td>1263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Santa Monica</td>\n",
       "      <td>1134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Crown Heights</td>\n",
       "      <td>1104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Chelsea</td>\n",
       "      <td>834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>District 17</td>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>East Harlem</td>\n",
       "      <td>714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>West Town</td>\n",
       "      <td>692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Lower East Side</td>\n",
       "      <td>691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Hollywood Hills</td>\n",
       "      <td>676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>West Hollywood</td>\n",
       "      <td>658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Astoria</td>\n",
       "      <td>653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Near North Side</td>\n",
       "      <td>647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Downtown/Civic Center</td>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Washington Heights</td>\n",
       "      <td>629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Financial District</td>\n",
       "      <td>613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Mission</td>\n",
       "      <td>612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>West Village</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Glendale</td>\n",
       "      <td>577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>District 5</td>\n",
       "      <td>560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Lake View</td>\n",
       "      <td>556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>District 21</td>\n",
       "      <td>524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>South of Market</td>\n",
       "      <td>523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Beverly Hills</td>\n",
       "      <td>518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Chinatown</td>\n",
       "      <td>502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>District 6</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Mid-Wilshire</td>\n",
       "      <td>458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Silver Lake</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Westlake</td>\n",
       "      <td>453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Hollywood Hills West</td>\n",
       "      <td>449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Western Addition</td>\n",
       "      <td>447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Rowland Heights</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Westwood</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Koreatown</td>\n",
       "      <td>444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Sawtelle</td>\n",
       "      <td>443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Beverly Grove</td>\n",
       "      <td>443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Inglewood</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Flatbush</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Pasadena</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Clinton Hill</td>\n",
       "      <td>411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>East Hollywood</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Kips Bay</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Logan Square</td>\n",
       "      <td>379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Dorchester</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Long Island City</td>\n",
       "      <td>371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>East Flatbush</td>\n",
       "      <td>368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Park Slope</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Echo Park</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Burbank</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Murray Hill</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Prospect-Lefferts Gardens</td>\n",
       "      <td>352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Woodside</td>\n",
       "      <td>348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Redondo Beach</td>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Mid-City</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Flushing</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>North Hollywood</td>\n",
       "      <td>338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Fort Greene</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Haight Ashbury</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Castro/Upper Market</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Culver City</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Sherman Oaks</td>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Loop</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Malibu</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Near West Side</td>\n",
       "      <td>306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Lincoln Park</td>\n",
       "      <td>305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Sunset Park</td>\n",
       "      <td>297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Studio City</td>\n",
       "      <td>295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Los Feliz</td>\n",
       "      <td>293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Bernal Heights</td>\n",
       "      <td>292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Theater District</td>\n",
       "      <td>292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ridgewood</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Noe Valley</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Alhambra</td>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Belltown</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>SoHo</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Mar Vista</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Nob Hill</td>\n",
       "      <td>268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Sunnyside</td>\n",
       "      <td>265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Topanga</td>\n",
       "      <td>259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Torrance</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Greenwich Village</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>District 15</td>\n",
       "      <td>251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Monterey Park</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>District 18</td>\n",
       "      <td>241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Gramercy</td>\n",
       "      <td>238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Outer Sunset</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Woodland Hills</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Brighton</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Fairfax</td>\n",
       "      <td>235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Elmhurst</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Broadway</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Morningside Heights</td>\n",
       "      <td>231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Marina del Rey</td>\n",
       "      <td>231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Jamaica Plain</td>\n",
       "      <td>229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>District 7</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Prospect Heights</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Altadena</td>\n",
       "      <td>224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Brentwood</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Westchester</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Roxbury</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Del Rey</td>\n",
       "      <td>217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Ditmars Steinway</td>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Palms</td>\n",
       "      <td>213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Manhattan Beach</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Hermosa Beach</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Nolita</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Hacienda Heights</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Russian Hill</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>South Slope</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Jackson Heights</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>South End</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Van Nuys</td>\n",
       "      <td>195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Arcadia</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Potrero Hill</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>East New York</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Hyde Park</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Jamaica</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Inner Richmond</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Back Bay</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Hawthorne</td>\n",
       "      <td>177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>North Beach</td>\n",
       "      <td>177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>Uptown</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>Avalon</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Highland Park</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Lower West Side</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Inwood</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Carroll Gardens</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Marina</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Tribeca</td>\n",
       "      <td>166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Gowanus</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>East Boston</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>West Los Angeles</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Diamond Bar</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Bayview</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>South Boston</td>\n",
       "      <td>155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Irving Park</td>\n",
       "      <td>154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>District 20</td>\n",
       "      <td>153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Edgewater</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>North Beacon Hill</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>District 24</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Pico-Robertson</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>East Elmhurst</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>El Segundo</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Pacific Palisades</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Outer Richmond</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Beacon Hill</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Lancaster</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Allston</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Valley Glen</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>University District</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Boerum Hill</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Excelsior</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Pacific Heights</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>Central Business District</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>District 2</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>Santa Clarita</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>Wallingford</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>Near South Side</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>Avondale</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>Beverly Crest</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>Unincorporated Santa Monica Mountains</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>West Covina</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>Canarsie</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Rogers Park</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>First Hill</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Sheepshead Bay</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>East Los Angeles</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>Outer Mission</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>North Center</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>South Lake Union</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>District 16</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>Kensington</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>Inner Sunset</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Tarzana</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Valley Village</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>Fremont</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>Mid-Cambridge</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>District 8</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Exposition Park</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Ocean View</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>El Monte</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Bay Ridge</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>Eagle Rock</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>East Cambridge</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Pomona</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Minor</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>Reseda</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>San Gabriel</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>Encino</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Brooklyn Heights</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Monrovia</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>Bridgeport</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Palmdale</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>Arlington Heights</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>Grand Boulevard</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>Fenway</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>Playa del Rey</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>Cambridgeport</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>Little Italy</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>Cypress Hills</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>Stevens</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>West of Twin Peaks</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>Parkside</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>Jefferson Park</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>Forest Hills</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>Gardena</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>Maspeth</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>Midwood</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>Pico-Union</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>Woodlawn</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Temple City</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>East Garfield Park</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>Lower Queen Anne</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>San Pedro</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>Mount Washington</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>South Shore</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>Lincoln Square</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>Windsor Terrace</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>Adams</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>Borough Park</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>Atwater Village</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>West Adams</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Northridge</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>Hancock Park</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>Carson</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>West Ridge</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Greenwood</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Springfield Gardens</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>Lawndale</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Boyle Heights</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Charlestown</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>Portage Park</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>Rosemead</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Playa Vista</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>Flatiron District</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>Pike-Market</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>District 13</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>Harvard Heights</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>North Queen Anne</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>The Port</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>Rego Park</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Humboldt Park</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>West Queen Anne</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>South Pasadena</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>Rancho Palos Verdes</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>North Cambridge</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>Richmond Hill</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>Mann</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>District 25</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Larchmont</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Historic South-Central</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>University Park</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Cobble Hill</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>View Park-Windsor Hills</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Walnut</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>Green Lake</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>West Hills</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Flatlands</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>Columbia City</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>Woodhaven</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>Battery Park City</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>Carthay</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>Ravenna</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>North End</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>North Admiral</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>East San Gabriel</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>Lake Balboa</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>Winnetka</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>Glassell Park</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>District 26</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>Alki</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>Red Hook</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>Bensonhurst</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>St. Albans</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>West Cambridge</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>Douglas</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>Arverne</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>Calabasas</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>Mott Haven</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>Whittier</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>Downey</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>Sun Valley</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>Stuyvesant Town</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>Two Bridges</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>Brownsville</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>Montecito Heights</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>Phinney Ridge</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>Lincoln Heights</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>Gravesend</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>Brighton Beach</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>Glen Park</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>Corona</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>Armour Square</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>Vermont Square</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>Glendora</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>Eastlake</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>Wakefield</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>Visitacion Valley</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>Albany Park</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>Mid-Beacon Hill</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Downtown Brooklyn</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>South Boston Waterfront</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>Concourse</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>Azusa</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>Twin Peaks</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>Mission Hill</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>Queens Village</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>District 12</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>Baldwin Hills/Crenshaw</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>Roslindale</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>Wellington-Harrington</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>Kingsbridge</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>Mount Baker</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Bel-Air</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Austin</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Roosevelt Island</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>Claremont</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>Del Aire</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>Canoga Park</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>District 1</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>District 14</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>El Sereno</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>Bay Village</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>Chatsworth</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>NoHo</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>Rockaway Beach</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>Lakewood</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>Riverside</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>Loyal Heights</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>Longwood</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>Covina</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>East Queen Anne</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>Kenwood</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>Montlake</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>North Hills</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>South Lawndale</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>Neighborhood Nine</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>Mattapan</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>District 29</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>West Woodland</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>Ladera Heights</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>Agoura Hills</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>Leschi</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>Norwalk</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>East Pasadena</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>La Canada Flintridge</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>Seward Park</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>Ozone Park</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>Atlantic</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>Lakeshore</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>Toluca Lake</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>Harbor Gateway</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>District 3</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>Fort Hamilton</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>Lawton Park</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>Greater Grand Crossing</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Leimert Park</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>St. George</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>Williamsbridge</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>Roosevelt</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>Interbay</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Fordham</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>Pico Rivera</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>Port Morris</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>Adams-Normandie</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>Rancho Park</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>Fairmount Park</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>Civic Center</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>Baldwin Park</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>Parkchester</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>North Delridge</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>Tompkinsville</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>Southeast Magnolia</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>Bayside</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>San Dimas</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>Fresh Meadows</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>North College Park</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Crocker Amazon</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>Mayflower Village</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>Montebello</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>Norwood Park</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>Briarwood</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>Agassiz</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>Kew Gardens</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>Washington Park</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>West Roxbury</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>West Carson</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>Columbia St</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>District 35</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>District 10</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>Dunning</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>Maple Leaf</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>West End</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>Pioneer Square</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>Rainier Beach</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>Allerton</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>District 23</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>Madrona</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>Genesee</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>Signal Hill</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>Yesler Terrace</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>Industry</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>Wilmington</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>Cheviot Hills</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>Norwood</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>Claremont Village</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>DUMBO</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>Granada Hills</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>South Ozone Park</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>Windsor Square</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>Cerritos</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>Throgs Neck</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>Laurelton</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>North Lawndale</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>Beverlywood</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>Area 2/MIT</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>District 4</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>Whittier Heights</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>Belmont Cragin</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>Westmont</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>La Crescenta-Montrose</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>South Delridge</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>Bellflower</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>District 27</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>Valinda</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>District 30</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>Riverview</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>Kew Gardens Hills</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>College Point</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>District 11</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>Mckinley Park</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>Strawberry Hill</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>Far Rockaway</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>Century City</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>Watts</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>Highbridge</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>District 22</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>Crown Hill</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>North Park</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Haller Lake</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Golden Gate Park</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Panorama City</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>South San Gabriel</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>Morris Park</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>Harrison/Denny-Blaine</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>Vinegar Hill</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>Wedgwood</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>Concourse Village</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>Sunset Hill</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>Dunlap</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>Brighton Park</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>Lennox</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>Presidio Heights</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>Pelham Gardens</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>Duarte</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>Cambria Heights</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>District 32</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>Lomita</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>Middle Village</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>Mount Hope</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>Sierra Madre</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>Harbor City</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>Jamaica Estates</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>South Beacon Hill</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>Vermont Knolls</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>Matthews Beach</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>Hunts Point</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>Calumet Heights</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>Gatewood</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>La Puente</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>Morris Heights</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>Tujunga</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>District 33</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>La Verne</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>South Chicago</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>Seacliff</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>Lynwood</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>West Brighton</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>Compton</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>Bronxdale</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>Vermont-Slauson</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>Bitter Lake</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>Pinehurst</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>West Garfield Park</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>Broadview</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>San Pasqual</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>Seaview</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>Laurelhurst</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>Sylmar</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>Clason Point</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>Fauntleroy</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>Cedar Park</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>New City</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>Florence-Firestone</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>District 9</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>North Beach/Blue Ridge</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>Bath Beach</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>Hermosa</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>Elysian Valley</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>Unincorporated Santa Susana Mountains</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>Dyker Heights</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>Agua Dulce</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>University Heights</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>Bryant</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>South Gate</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>High Point</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>Howard Beach</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>Edenwald</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>Bayswater</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>South Whittier</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>Castaic Canyons</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>Porter Ranch</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>District 28</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>Willowbrook</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>Central-Alameda</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>Victory Heights</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>Tremont</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>Belmont</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>North El Monte</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>Shadow Hills</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>District 34</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>La Mirada</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>Alondra Park</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>Arrochar</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>Hollis</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>Coney Island</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>Englewood</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>Elysian Park</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>District 31</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>Concord</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>Manchester Square</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>Arbor Heights</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>Madison Park</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>Castaic</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>Eastchester</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>Baychester</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>Randall Manor</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>Soundview</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>South San Jose Hills</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>Palos Verdes Estates</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>La Habra Heights</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>Stapleton</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>Bergen Beach</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>Portage Bay</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Forest Glen</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Oakland</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Veterans Administration</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Bellerose</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>City Island</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>Garfield Ridge</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>Fieldston</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>East Morrisania</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>Morrisania</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>Mariners Harbor</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>Unincorporated Catalina Island</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>San Marino</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>Avocado Heights</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>Artesia</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>Ashburn</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>Briarcliff</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>Sea Gate</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>Olympic Hills</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>Chesterfield Square</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>Clifton</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>Pacoima</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>579</th>\n",
       "      <td>Charter Oak</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>South Park</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>Gramercy Park</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>Southeast Antelope Valley</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>Edgemere</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>San Fernando</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>Whitestone</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>Georgetown</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>Windermere</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>Quartz Hill</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>Jamaica Hills</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>Riverdale</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>Chicago Lawn</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>Paramount</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>Roxhill</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>594</th>\n",
       "      <td>Navy Yard</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595</th>\n",
       "      <td>Rolling Hills Estates</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>Grant City</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>Ohare</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>Pullman</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>Diamond Heights</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>Van Nest</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>Grymes Hill</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>Griffith Park</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>West Lawn</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>Pelham Bay</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>Arleta</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>Westlake Village</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>Shore Acres</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>Lake Los Angeles</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>International District</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>Melrose</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>West Englewood</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>Commerce</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>Chatham</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>Cypress Park</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616</th>\n",
       "      <td>Northwest Palmdale</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>Marble Hill</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>Unionport</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>619</th>\n",
       "      <td>Vermont Vista</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>Cambridge Highlands</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>View Ridge</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>Tujunga Canyons</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>Broadway-Manchester</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>Westchester Square</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>Northeast Antelope Valley</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>Sun Village</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>Beverly</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>West Whittier-Los Nietos</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>Meadowbrook</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>Port Richmond</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>Schuylerville</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>632</th>\n",
       "      <td>West Puente Valley</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>New Brighton</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>North Riverdale</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>Midland Beach</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>Rainier View</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>Longwood Medical Area</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>Archer Heights</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>Fuller Park</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>Green Meadows</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>Huntington Park</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>Holliswood</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>Rancho Dominguez</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>Green Valley</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>Morgan Park</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>Val Verde</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>Maywood</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>Bell</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>West Compton</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>Athens</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>Little Neck</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>Rolling Hills</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>Co-op City</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>Olinville</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>South El Monte</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>Presidio</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>Stevenson Ranch</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>Vincent</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>Oakwood</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>Vernon</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>Lake View Terrace</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>Mill Basin</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>Sepulveda Basin</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>Bay Terrace</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>Spuyten Duyvil</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>Florence</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>Acton</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>Bell Gardens</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>Auburn Gresham</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>Rosebank</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>Emerson Hill</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>New Dorp Beach</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>Mission Hills</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>Citrus</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>Sunland</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>North Whittier</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>Eltingville</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>Mount Greenwood</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>Castleton Corners</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>Lopez/Kagel Canyons</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>Mount Eden</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>Irwindale</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>Great Kills</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>Belle Harbor</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>South Beach</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>Harvard Park</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>Industrial District</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>West Elsdon</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>Universal City</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>Desert View Highlands</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>Hegewisch</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>Dongan Hills</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>Douglaston</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>Angeles Crest</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>Clearing</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>New Springville</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>Todt Hill</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>Montclare</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699</th>\n",
       "      <td>Arden Heights</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>700</th>\n",
       "      <td>Avalon Park</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>701</th>\n",
       "      <td>Rossville</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>Holly Park</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>703</th>\n",
       "      <td>Bull's Head</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>704</th>\n",
       "      <td>Elizabeth Lake</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>Richmondtown</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>East Whittier</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>707</th>\n",
       "      <td>Graniteville</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>708</th>\n",
       "      <td>Leather District</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>709</th>\n",
       "      <td>Edison Park</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>710</th>\n",
       "      <td>Ridge Route</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>711</th>\n",
       "      <td>New Dorp</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>Burnside</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>Prince's Bay</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>East Side</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>South Deering</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>Howland Hook</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>Westerleigh</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>West Farms</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>Hasley Canyon</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>Northwest Antelope Valley</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>721</th>\n",
       "      <td>Lighthouse Hill</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>722</th>\n",
       "      <td>Tottenville</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>723</th>\n",
       "      <td>West Pullman</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>Country Club</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>Fort Wadsworth</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>Gerritsen Beach</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>727</th>\n",
       "      <td>Hawaiian Gardens</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>East Compton</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>Castle Hill</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>Leona Valley</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731</th>\n",
       "      <td>Gage Park</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>Cudahy</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>733</th>\n",
       "      <td>Huguenot</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>Bradbury</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>735</th>\n",
       "      <td>Lake Hughes</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>Woodrow</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             neighbourhood  count\n",
       "0                             Williamsburg   2689\n",
       "1                       Bedford-Stuyvesant   2670\n",
       "2                                   Harlem   1939\n",
       "3                                 Bushwick   1645\n",
       "4                                   Venice   1534\n",
       "5                                Hollywood   1488\n",
       "6                               Long Beach   1472\n",
       "7                           Hell's Kitchen   1447\n",
       "8                          Upper West Side   1436\n",
       "9                                  Midtown   1369\n",
       "10                         Upper East Side   1316\n",
       "11                             District 19   1313\n",
       "12                            East Village   1305\n",
       "13                                Downtown   1263\n",
       "14                            Santa Monica   1134\n",
       "15                           Crown Heights   1104\n",
       "16                                 Chelsea    834\n",
       "17                              Greenpoint    806\n",
       "18                             District 17    768\n",
       "19                             East Harlem    714\n",
       "20                               West Town    692\n",
       "21                         Lower East Side    691\n",
       "22                         Hollywood Hills    676\n",
       "23                          West Hollywood    658\n",
       "24                                 Astoria    653\n",
       "25                         Near North Side    647\n",
       "26                   Downtown/Civic Center    640\n",
       "27                      Washington Heights    629\n",
       "28                      Financial District    613\n",
       "29                                 Mission    612\n",
       "30                            West Village    591\n",
       "31                                Glendale    577\n",
       "32                              District 5    560\n",
       "33                               Lake View    556\n",
       "34                             District 21    524\n",
       "35                         South of Market    523\n",
       "36                           Beverly Hills    518\n",
       "37                               Chinatown    502\n",
       "38                              District 6    470\n",
       "39                            Mid-Wilshire    458\n",
       "40                             Silver Lake    454\n",
       "41                                Westlake    453\n",
       "42                    Hollywood Hills West    449\n",
       "43                        Western Addition    447\n",
       "44                         Rowland Heights    446\n",
       "45                                Westwood    446\n",
       "46                               Koreatown    444\n",
       "47                                Sawtelle    443\n",
       "48                           Beverly Grove    443\n",
       "49                               Inglewood    426\n",
       "50                                Flatbush    425\n",
       "51                                Pasadena    416\n",
       "52                            Clinton Hill    411\n",
       "53                          East Hollywood    397\n",
       "54                                Kips Bay    385\n",
       "55                            Logan Square    379\n",
       "56                              Dorchester    377\n",
       "57                        Long Island City    371\n",
       "58                           East Flatbush    368\n",
       "59                              Park Slope    356\n",
       "60                               Echo Park    355\n",
       "61                                 Burbank    355\n",
       "62                             Murray Hill    355\n",
       "63               Prospect-Lefferts Gardens    352\n",
       "64                                Woodside    348\n",
       "65                           Redondo Beach    345\n",
       "66                                Mid-City    342\n",
       "67                                Flushing    342\n",
       "68                         North Hollywood    338\n",
       "69                             Fort Greene    335\n",
       "70                          Haight Ashbury    331\n",
       "71                     Castro/Upper Market    331\n",
       "72                             Culver City    331\n",
       "73                            Sherman Oaks    326\n",
       "74                                    Loop    322\n",
       "75                                  Malibu    314\n",
       "76                          Near West Side    306\n",
       "77                            Lincoln Park    305\n",
       "78                             Sunset Park    297\n",
       "79                             Studio City    295\n",
       "80                               Los Feliz    293\n",
       "81                          Bernal Heights    292\n",
       "82                        Theater District    292\n",
       "83                               Ridgewood    288\n",
       "84                              Noe Valley    288\n",
       "85                                Alhambra    284\n",
       "86                                Belltown    279\n",
       "87                                    SoHo    279\n",
       "88                               Mar Vista    271\n",
       "89                                Nob Hill    268\n",
       "90                               Sunnyside    265\n",
       "91                                 Topanga    259\n",
       "92                                Torrance    258\n",
       "93                       Greenwich Village    257\n",
       "94                             District 15    251\n",
       "95                           Monterey Park    246\n",
       "96                             District 18    241\n",
       "97                                Gramercy    238\n",
       "98                            Outer Sunset    237\n",
       "99                          Woodland Hills    237\n",
       "100                               Brighton    237\n",
       "101                                Fairfax    235\n",
       "102                               Elmhurst    233\n",
       "103                               Broadway    233\n",
       "104                    Morningside Heights    231\n",
       "105                         Marina del Rey    231\n",
       "106                          Jamaica Plain    229\n",
       "107                             District 7    228\n",
       "108                       Prospect Heights    228\n",
       "109                               Altadena    224\n",
       "110                              Brentwood    223\n",
       "111                            Westchester    221\n",
       "112                                Roxbury    220\n",
       "113                                Del Rey    217\n",
       "114                       Ditmars Steinway    216\n",
       "115                                  Palms    213\n",
       "116                        Manhattan Beach    211\n",
       "117                          Hermosa Beach    209\n",
       "118                                 Nolita    208\n",
       "119                       Hacienda Heights    208\n",
       "120                           Russian Hill    205\n",
       "121                            South Slope    204\n",
       "122                        Jackson Heights    202\n",
       "123                              South End    200\n",
       "124                               Van Nuys    195\n",
       "125                                Arcadia    190\n",
       "126                           Potrero Hill    189\n",
       "127                          East New York    185\n",
       "128                              Hyde Park    183\n",
       "129                                Jamaica    181\n",
       "130                         Inner Richmond    181\n",
       "131                               Back Bay    180\n",
       "132                              Hawthorne    177\n",
       "133                            North Beach    177\n",
       "134                                 Uptown    176\n",
       "135                                 Avalon    173\n",
       "136                          Highland Park    171\n",
       "137                        Lower West Side    170\n",
       "138                                 Inwood    170\n",
       "139                        Carroll Gardens    169\n",
       "140                                 Marina    167\n",
       "141                                Tribeca    166\n",
       "142                                Gowanus    165\n",
       "143                            East Boston    163\n",
       "144                       West Los Angeles    163\n",
       "145                            Diamond Bar    159\n",
       "146                                Bayview    158\n",
       "147                           South Boston    155\n",
       "148                            Irving Park    154\n",
       "149                            District 20    153\n",
       "150                              Edgewater    152\n",
       "151                      North Beacon Hill    148\n",
       "152                            District 24    146\n",
       "153                         Pico-Robertson    146\n",
       "154                          East Elmhurst    144\n",
       "155                             El Segundo    143\n",
       "156                      Pacific Palisades    143\n",
       "157                         Outer Richmond    142\n",
       "158                            Beacon Hill    142\n",
       "159                              Lancaster    140\n",
       "160                                Allston    140\n",
       "161                            Valley Glen    139\n",
       "162                    University District    137\n",
       "163                            Boerum Hill    136\n",
       "164                              Excelsior    136\n",
       "165                        Pacific Heights    136\n",
       "166              Central Business District    136\n",
       "167                             District 2    135\n",
       "168                          Santa Clarita    135\n",
       "169                            Wallingford    134\n",
       "170                        Near South Side    133\n",
       "171                               Avondale    132\n",
       "172                          Beverly Crest    132\n",
       "173  Unincorporated Santa Monica Mountains    131\n",
       "174                            West Covina    130\n",
       "175                               Canarsie    130\n",
       "176                            Rogers Park    130\n",
       "177                             First Hill    128\n",
       "178                         Sheepshead Bay    126\n",
       "179                       East Los Angeles    125\n",
       "180                          Outer Mission    124\n",
       "181                           North Center    124\n",
       "182                       South Lake Union    123\n",
       "183                            District 16    122\n",
       "184                             Kensington    122\n",
       "185                           Inner Sunset    122\n",
       "186                                Tarzana    122\n",
       "187                         Valley Village    120\n",
       "188                                Fremont    120\n",
       "189                          Mid-Cambridge    120\n",
       "190                             District 8    117\n",
       "191                        Exposition Park    115\n",
       "192                             Ocean View    115\n",
       "193                               El Monte    114\n",
       "194                              Bay Ridge    113\n",
       "195                             Eagle Rock    113\n",
       "196                         East Cambridge    111\n",
       "197                                 Pomona    111\n",
       "198                                  Minor    111\n",
       "199                                 Reseda    111\n",
       "200                            San Gabriel    110\n",
       "201                                 Encino    109\n",
       "202                       Brooklyn Heights    109\n",
       "203                               Monrovia    109\n",
       "204                             Bridgeport    107\n",
       "205                               Palmdale    106\n",
       "206                      Arlington Heights    106\n",
       "207                        Grand Boulevard    105\n",
       "208                                 Fenway    104\n",
       "209                          Playa del Rey    104\n",
       "210                          Cambridgeport    104\n",
       "211                           Little Italy    102\n",
       "212                          Cypress Hills    101\n",
       "213                                Stevens     98\n",
       "214                     West of Twin Peaks     97\n",
       "215                               Parkside     96\n",
       "216                         Jefferson Park     96\n",
       "217                           Forest Hills     95\n",
       "218                                Gardena     92\n",
       "219                                Maspeth     92\n",
       "220                                Midwood     90\n",
       "221                             Pico-Union     89\n",
       "222                               Woodlawn     88\n",
       "223                            Temple City     88\n",
       "224                     East Garfield Park     88\n",
       "225                       Lower Queen Anne     87\n",
       "226                              San Pedro     87\n",
       "227                       Mount Washington     86\n",
       "228                            South Shore     86\n",
       "229                         Lincoln Square     85\n",
       "230                        Windsor Terrace     85\n",
       "231                                  Adams     85\n",
       "232                           Borough Park     85\n",
       "233                        Atwater Village     84\n",
       "234                             West Adams     83\n",
       "235                             Northridge     83\n",
       "236                           Hancock Park     82\n",
       "237                                 Carson     82\n",
       "238                             West Ridge     82\n",
       "239                              Greenwood     81\n",
       "240                    Springfield Gardens     79\n",
       "241                               Lawndale     78\n",
       "242                          Boyle Heights     77\n",
       "243                            Charlestown     76\n",
       "244                           Portage Park     76\n",
       "245                               Rosemead     75\n",
       "246                            Playa Vista     75\n",
       "247                      Flatiron District     75\n",
       "248                            Pike-Market     75\n",
       "249                            District 13     75\n",
       "250                        Harvard Heights     75\n",
       "251                       North Queen Anne     74\n",
       "252                               The Port     74\n",
       "253                              Rego Park     74\n",
       "254                          Humboldt Park     74\n",
       "255                        West Queen Anne     74\n",
       "256                         South Pasadena     74\n",
       "257                    Rancho Palos Verdes     73\n",
       "258                        North Cambridge     73\n",
       "259                          Richmond Hill     72\n",
       "260                                   Mann     72\n",
       "261                            District 25     72\n",
       "262                              Larchmont     71\n",
       "263                 Historic South-Central     71\n",
       "264                        University Park     71\n",
       "265                            Cobble Hill     71\n",
       "266                View Park-Windsor Hills     71\n",
       "267                                 Walnut     71\n",
       "268                             Green Lake     70\n",
       "269                             West Hills     70\n",
       "270                              Flatlands     69\n",
       "271                          Columbia City     68\n",
       "272                              Woodhaven     68\n",
       "273                      Battery Park City     68\n",
       "274                                Carthay     67\n",
       "275                                Ravenna     67\n",
       "276                              North End     67\n",
       "277                          North Admiral     66\n",
       "278                       East San Gabriel     66\n",
       "279                            Lake Balboa     66\n",
       "280                               Winnetka     65\n",
       "281                          Glassell Park     65\n",
       "282                            District 26     65\n",
       "283                                   Alki     65\n",
       "284                               Red Hook     65\n",
       "285                            Bensonhurst     64\n",
       "286                             St. Albans     64\n",
       "287                         West Cambridge     64\n",
       "288                                Douglas     63\n",
       "289                                Arverne     63\n",
       "290                              Calabasas     62\n",
       "291                             Mott Haven     62\n",
       "292                               Whittier     62\n",
       "293                                 Downey     61\n",
       "294                             Sun Valley     61\n",
       "295                        Stuyvesant Town     61\n",
       "296                            Two Bridges     61\n",
       "297                            Brownsville     61\n",
       "298                      Montecito Heights     60\n",
       "299                          Phinney Ridge     60\n",
       "300                        Lincoln Heights     60\n",
       "301                              Gravesend     60\n",
       "302                               Rosedale     60\n",
       "303                         Brighton Beach     59\n",
       "304                              Glen Park     59\n",
       "305                                 Corona     59\n",
       "306                          Armour Square     59\n",
       "307                         Vermont Square     58\n",
       "308                               Glendora     58\n",
       "309                               Eastlake     58\n",
       "310                              Wakefield     57\n",
       "311                      Visitacion Valley     55\n",
       "312                            Albany Park     55\n",
       "313                        Mid-Beacon Hill     55\n",
       "314                      Downtown Brooklyn     54\n",
       "315                South Boston Waterfront     53\n",
       "316                              Concourse     53\n",
       "317                                  Azusa     53\n",
       "318                             Twin Peaks     53\n",
       "319                           Mission Hill     53\n",
       "320                         Queens Village     52\n",
       "321                            District 12     52\n",
       "322                 Baldwin Hills/Crenshaw     52\n",
       "323                             Roslindale     52\n",
       "324                  Wellington-Harrington     51\n",
       "325                            Kingsbridge     51\n",
       "326                            Mount Baker     50\n",
       "327                                Bel-Air     49\n",
       "328                                 Austin     49\n",
       "329                       Roosevelt Island     48\n",
       "330                              Claremont     48\n",
       "331                               Del Aire     48\n",
       "332                            Canoga Park     48\n",
       "333                             District 1     48\n",
       "334                            District 14     47\n",
       "335                              El Sereno     47\n",
       "336                            Bay Village     46\n",
       "337                             Chatsworth     46\n",
       "338                                   NoHo     46\n",
       "339                         Rockaway Beach     45\n",
       "340                               Lakewood     45\n",
       "341                              Riverside     45\n",
       "342                          Loyal Heights     45\n",
       "343                               Longwood     45\n",
       "344                                 Covina     44\n",
       "345                        East Queen Anne     44\n",
       "346                                Kenwood     44\n",
       "347                               Montlake     44\n",
       "348                            North Hills     44\n",
       "349                         South Lawndale     43\n",
       "350                      Neighborhood Nine     43\n",
       "351                               Mattapan     43\n",
       "352                            District 29     43\n",
       "353                          West Woodland     43\n",
       "354                         Ladera Heights     43\n",
       "355                           Agoura Hills     42\n",
       "356                                 Leschi     42\n",
       "357                                Norwalk     42\n",
       "358                          East Pasadena     42\n",
       "359                   La Canada Flintridge     42\n",
       "360                            Seward Park     41\n",
       "361                             Ozone Park     41\n",
       "362                               Atlantic     41\n",
       "363                              Lakeshore     41\n",
       "364                            Toluca Lake     40\n",
       "365                         Harbor Gateway     40\n",
       "366                             District 3     40\n",
       "367                          Fort Hamilton     40\n",
       "368                            Lawton Park     39\n",
       "369                 Greater Grand Crossing     39\n",
       "370                           Leimert Park     39\n",
       "371                             St. George     39\n",
       "372                         Williamsbridge     39\n",
       "373                              Roosevelt     38\n",
       "374                               Interbay     38\n",
       "375                                Fordham     38\n",
       "376                            Pico Rivera     37\n",
       "377                            Port Morris     37\n",
       "378                        Adams-Normandie     37\n",
       "379                            Rancho Park     37\n",
       "380                         Fairmount Park     37\n",
       "381                           Civic Center     37\n",
       "382                           Baldwin Park     36\n",
       "383                            Parkchester     36\n",
       "384                         North Delridge     36\n",
       "385                          Tompkinsville     36\n",
       "386                     Southeast Magnolia     35\n",
       "387                                Bayside     35\n",
       "388                              San Dimas     35\n",
       "389                          Fresh Meadows     35\n",
       "390                     North College Park     35\n",
       "391                         Crocker Amazon     34\n",
       "392                      Mayflower Village     34\n",
       "393                             Montebello     34\n",
       "394                           Norwood Park     34\n",
       "395                              Briarwood     34\n",
       "396                                Agassiz     33\n",
       "397                            Kew Gardens     33\n",
       "398                        Washington Park     33\n",
       "399                           West Roxbury     33\n",
       "400                            West Carson     33\n",
       "401                            Columbia St     33\n",
       "402                            District 35     33\n",
       "403                            District 10     32\n",
       "404                                Dunning     32\n",
       "405                             Maple Leaf     32\n",
       "406                               West End     32\n",
       "407                         Pioneer Square     32\n",
       "408                          Rainier Beach     32\n",
       "409                               Allerton     32\n",
       "410                            District 23     31\n",
       "411                                Madrona     31\n",
       "412                                Genesee     31\n",
       "413                            Signal Hill     31\n",
       "414                         Yesler Terrace     31\n",
       "415                               Industry     31\n",
       "416                             Wilmington     31\n",
       "417                          Cheviot Hills     31\n",
       "418                                Norwood     30\n",
       "419                      Claremont Village     30\n",
       "420                                  DUMBO     30\n",
       "421                          Granada Hills     30\n",
       "422                       South Ozone Park     30\n",
       "423                         Windsor Square     30\n",
       "424                               Cerritos     30\n",
       "425                            Throgs Neck     29\n",
       "426                              Laurelton     28\n",
       "427                         North Lawndale     28\n",
       "428                            Beverlywood     28\n",
       "429                             Area 2/MIT     28\n",
       "430                             District 4     28\n",
       "431                       Whittier Heights     28\n",
       "432                         Belmont Cragin     27\n",
       "433                               Westmont     27\n",
       "434                  La Crescenta-Montrose     27\n",
       "435                         South Delridge     27\n",
       "436                             Bellflower     27\n",
       "437                            District 27     27\n",
       "438                                Valinda     26\n",
       "439                            District 30     26\n",
       "440                              Riverview     26\n",
       "441                      Kew Gardens Hills     25\n",
       "442                          College Point     25\n",
       "443                            District 11     25\n",
       "444                          Mckinley Park     25\n",
       "445                        Strawberry Hill     25\n",
       "446                           Far Rockaway     24\n",
       "447                           Century City     24\n",
       "448                                  Watts     24\n",
       "449                             Highbridge     24\n",
       "450                            District 22     24\n",
       "451                             Crown Hill     24\n",
       "452                             North Park     24\n",
       "453                            Haller Lake     24\n",
       "454                       Golden Gate Park     24\n",
       "455                          Panorama City     24\n",
       "456                      South San Gabriel     23\n",
       "457                            Morris Park     23\n",
       "458                  Harrison/Denny-Blaine     23\n",
       "459                           Vinegar Hill     23\n",
       "460                               Wedgwood     23\n",
       "461                      Concourse Village     23\n",
       "462                            Sunset Hill     23\n",
       "463                                 Dunlap     22\n",
       "464                          Brighton Park     22\n",
       "465                                 Lennox     22\n",
       "466                       Presidio Heights     22\n",
       "467                         Pelham Gardens     22\n",
       "468                                 Duarte     22\n",
       "469                        Cambria Heights     22\n",
       "470                            District 32     21\n",
       "471                                 Lomita     21\n",
       "472                         Middle Village     21\n",
       "473                             Mount Hope     21\n",
       "474                           Sierra Madre     21\n",
       "475                            Harbor City     21\n",
       "476                        Jamaica Estates     20\n",
       "477                      South Beacon Hill     20\n",
       "478                         Vermont Knolls     20\n",
       "479                         Matthews Beach     20\n",
       "480                            Hunts Point     20\n",
       "481                        Calumet Heights     20\n",
       "482                               Gatewood     20\n",
       "483                              La Puente     20\n",
       "484                         Morris Heights     20\n",
       "485                                Tujunga     20\n",
       "486                            District 33     19\n",
       "487                               La Verne     19\n",
       "488                          South Chicago     19\n",
       "489                               Seacliff     19\n",
       "490                                Lynwood     19\n",
       "491                          West Brighton     19\n",
       "492                                Compton     19\n",
       "493                              Bronxdale     19\n",
       "494                        Vermont-Slauson     19\n",
       "495                            Bitter Lake     19\n",
       "496                              Pinehurst     18\n",
       "497                     West Garfield Park     18\n",
       "498                              Broadview     18\n",
       "499                            San Pasqual     18\n",
       "500                                Seaview     18\n",
       "501                            Laurelhurst     18\n",
       "502                                 Sylmar     18\n",
       "503                           Clason Point     17\n",
       "504                             Fauntleroy     17\n",
       "505                             Cedar Park     17\n",
       "506                               New City     17\n",
       "507                     Florence-Firestone     17\n",
       "508                             District 9     17\n",
       "509                 North Beach/Blue Ridge     17\n",
       "510                             Bath Beach     17\n",
       "511                                Hermosa     17\n",
       "512                         Elysian Valley     17\n",
       "513  Unincorporated Santa Susana Mountains     17\n",
       "514                          Dyker Heights     16\n",
       "515                             Agua Dulce     16\n",
       "516                     University Heights     16\n",
       "517                                 Bryant     16\n",
       "518                             South Gate     16\n",
       "519                             High Point     16\n",
       "520                           Howard Beach     16\n",
       "521                               Edenwald     16\n",
       "522                              Bayswater     16\n",
       "523                         South Whittier     15\n",
       "524                        Castaic Canyons     15\n",
       "525                           Porter Ranch     15\n",
       "526                            District 28     15\n",
       "527                            Willowbrook     15\n",
       "528                        Central-Alameda     15\n",
       "529                        Victory Heights     15\n",
       "530                                Tremont     15\n",
       "531                                Belmont     15\n",
       "532                         North El Monte     15\n",
       "533                           Shadow Hills     15\n",
       "534                            District 34     15\n",
       "535                              La Mirada     15\n",
       "536                           Alondra Park     15\n",
       "537                               Arrochar     15\n",
       "538                                 Hollis     15\n",
       "539                           Coney Island     14\n",
       "540                              Englewood     14\n",
       "541                           Elysian Park     14\n",
       "542                            District 31     14\n",
       "543                                Concord     14\n",
       "544                      Manchester Square     14\n",
       "545                          Arbor Heights     13\n",
       "546                           Madison Park     13\n",
       "547                                Castaic     13\n",
       "548                            Eastchester     13\n",
       "549                             Baychester     13\n",
       "550                          Randall Manor     13\n",
       "551                              Soundview     13\n",
       "552                   South San Jose Hills     13\n",
       "553                   Palos Verdes Estates     13\n",
       "554                       La Habra Heights     13\n",
       "555                              Stapleton     12\n",
       "556                           Bergen Beach     12\n",
       "557                            Portage Bay     12\n",
       "558                            Forest Glen     12\n",
       "559                                Oakland     12\n",
       "560                Veterans Administration     12\n",
       "561                              Bellerose     12\n",
       "562                            City Island     12\n",
       "563                         Garfield Ridge     12\n",
       "564                              Fieldston     12\n",
       "565                        East Morrisania     12\n",
       "566                             Morrisania     11\n",
       "567                        Mariners Harbor     11\n",
       "568         Unincorporated Catalina Island     11\n",
       "569                             San Marino     11\n",
       "570                        Avocado Heights     11\n",
       "571                                Artesia     11\n",
       "572                                Ashburn     11\n",
       "573                             Briarcliff     11\n",
       "574                               Sea Gate     11\n",
       "575                          Olympic Hills     11\n",
       "576                    Chesterfield Square     11\n",
       "577                                Clifton     11\n",
       "578                                Pacoima     11\n",
       "579                            Charter Oak     11\n",
       "580                             South Park     11\n",
       "581                          Gramercy Park     10\n",
       "582              Southeast Antelope Valley     10\n",
       "583                               Edgemere     10\n",
       "584                           San Fernando     10\n",
       "585                             Whitestone     10\n",
       "586                             Georgetown     10\n",
       "587                             Windermere     10\n",
       "588                            Quartz Hill     10\n",
       "589                          Jamaica Hills     10\n",
       "590                              Riverdale     10\n",
       "591                           Chicago Lawn     10\n",
       "592                              Paramount     10\n",
       "593                                Roxhill     10\n",
       "594                              Navy Yard     10\n",
       "595                  Rolling Hills Estates     10\n",
       "596                               Roseland      9\n",
       "597                             Grant City      9\n",
       "598                                  Ohare      9\n",
       "599                                Pullman      9\n",
       "600                        Diamond Heights      9\n",
       "601                               Van Nest      9\n",
       "602                            Grymes Hill      9\n",
       "603                          Griffith Park      9\n",
       "604                              West Lawn      9\n",
       "605                             Pelham Bay      9\n",
       "606                                 Arleta      9\n",
       "607                       Westlake Village      9\n",
       "608                            Shore Acres      9\n",
       "609                       Lake Los Angeles      8\n",
       "610                 International District      8\n",
       "611                                Melrose      8\n",
       "612                         West Englewood      8\n",
       "613                               Commerce      8\n",
       "614                                Chatham      8\n",
       "615                           Cypress Park      8\n",
       "616                     Northwest Palmdale      8\n",
       "617                            Marble Hill      8\n",
       "618                              Unionport      7\n",
       "619                          Vermont Vista      7\n",
       "620                    Cambridge Highlands      7\n",
       "621                             View Ridge      7\n",
       "622                        Tujunga Canyons      7\n",
       "623                    Broadway-Manchester      7\n",
       "624                     Westchester Square      7\n",
       "625              Northeast Antelope Valley      7\n",
       "626                            Sun Village      7\n",
       "627                                Beverly      7\n",
       "628               West Whittier-Los Nietos      7\n",
       "629                            Meadowbrook      7\n",
       "630                          Port Richmond      6\n",
       "631                          Schuylerville      6\n",
       "632                     West Puente Valley      6\n",
       "633                           New Brighton      6\n",
       "634                        North Riverdale      6\n",
       "635                          Midland Beach      6\n",
       "636                           Rainier View      6\n",
       "637                  Longwood Medical Area      6\n",
       "638                         Archer Heights      6\n",
       "639                            Fuller Park      6\n",
       "640                          Green Meadows      6\n",
       "641                        Huntington Park      6\n",
       "642                             Holliswood      6\n",
       "643                       Rancho Dominguez      6\n",
       "644                           Green Valley      6\n",
       "645                            Morgan Park      6\n",
       "646                              Val Verde      6\n",
       "647                                Maywood      6\n",
       "648                                   Bell      5\n",
       "649                           West Compton      5\n",
       "650                                 Athens      5\n",
       "651                            Little Neck      5\n",
       "652                          Rolling Hills      5\n",
       "653                             Co-op City      5\n",
       "654                              Olinville      5\n",
       "655                         South El Monte      5\n",
       "656                               Presidio      5\n",
       "657                        Stevenson Ranch      5\n",
       "658                                Vincent      5\n",
       "659                                Oakwood      5\n",
       "660                                 Vernon      4\n",
       "661                      Lake View Terrace      4\n",
       "662                             Mill Basin      4\n",
       "663                        Sepulveda Basin      4\n",
       "664                            Bay Terrace      4\n",
       "665                         Spuyten Duyvil      4\n",
       "666                               Florence      4\n",
       "667                                  Acton      4\n",
       "668                           Bell Gardens      4\n",
       "669                         Auburn Gresham      4\n",
       "670                               Rosebank      4\n",
       "671                           Emerson Hill      4\n",
       "672                         New Dorp Beach      4\n",
       "673                          Mission Hills      4\n",
       "674                                 Citrus      4\n",
       "675                                Sunland      4\n",
       "676                         North Whittier      4\n",
       "677                            Eltingville      4\n",
       "678                        Mount Greenwood      4\n",
       "679                      Castleton Corners      4\n",
       "680                    Lopez/Kagel Canyons      4\n",
       "681                             Mount Eden      4\n",
       "682                              Irwindale      4\n",
       "683                            Great Kills      3\n",
       "684                           Belle Harbor      3\n",
       "685                            South Beach      3\n",
       "686                           Harvard Park      3\n",
       "687                    Industrial District      3\n",
       "688                            West Elsdon      3\n",
       "689                         Universal City      3\n",
       "690                  Desert View Highlands      3\n",
       "691                              Hegewisch      3\n",
       "692                           Dongan Hills      3\n",
       "693                             Douglaston      3\n",
       "694                          Angeles Crest      3\n",
       "695                               Clearing      3\n",
       "696                        New Springville      3\n",
       "697                              Todt Hill      3\n",
       "698                              Montclare      3\n",
       "699                          Arden Heights      3\n",
       "700                            Avalon Park      2\n",
       "701                              Rossville      2\n",
       "702                             Holly Park      2\n",
       "703                            Bull's Head      2\n",
       "704                         Elizabeth Lake      2\n",
       "705                           Richmondtown      2\n",
       "706                          East Whittier      2\n",
       "707                           Graniteville      2\n",
       "708                       Leather District      2\n",
       "709                            Edison Park      2\n",
       "710                            Ridge Route      2\n",
       "711                               New Dorp      2\n",
       "712                               Burnside      2\n",
       "713                           Prince's Bay      2\n",
       "714                              East Side      2\n",
       "715                          South Deering      2\n",
       "716                           Howland Hook      2\n",
       "717                            Westerleigh      2\n",
       "718                             West Farms      1\n",
       "719                          Hasley Canyon      1\n",
       "720              Northwest Antelope Valley      1\n",
       "721                        Lighthouse Hill      1\n",
       "722                            Tottenville      1\n",
       "723                           West Pullman      1\n",
       "724                           Country Club      1\n",
       "725                         Fort Wadsworth      1\n",
       "726                        Gerritsen Beach      1\n",
       "727                       Hawaiian Gardens      1\n",
       "728                           East Compton      1\n",
       "729                            Castle Hill      1\n",
       "730                           Leona Valley      1\n",
       "731                              Gage Park      1\n",
       "732                                 Cudahy      1\n",
       "733                               Huguenot      1\n",
       "734                               Bradbury      1\n",
       "735                            Lake Hughes      1\n",
       "736                                Woodrow      1"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_counts = data[\"neighbourhood_cleansed\"].value_counts().to_frame().reset_index()\n",
    "nb_counts = nb_counts.rename(columns={'index':\"neighbourhood\", 'neighbourhood_cleansed':\"count\"})\n",
    "nb_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "olympic-syracuse",
   "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>index</th>\n",
       "      <th>neighbourhood_cleansed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>other neighbourhood</td>\n",
       "      <td>34135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>williamsburg</td>\n",
       "      <td>2689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>bedford-stuyvesant</td>\n",
       "      <td>2670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>harlem</td>\n",
       "      <td>1939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>bushwick</td>\n",
       "      <td>1645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>venice</td>\n",
       "      <td>1534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hollywood</td>\n",
       "      <td>1488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>long beach</td>\n",
       "      <td>1472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>hell's kitchen</td>\n",
       "      <td>1447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>upper west side</td>\n",
       "      <td>1436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>midtown</td>\n",
       "      <td>1369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>upper east side</td>\n",
       "      <td>1316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>district 19</td>\n",
       "      <td>1313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>east village</td>\n",
       "      <td>1305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>downtown</td>\n",
       "      <td>1263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>santa monica</td>\n",
       "      <td>1134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>crown heights</td>\n",
       "      <td>1104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chelsea</td>\n",
       "      <td>834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>greenpoint</td>\n",
       "      <td>806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>district 17</td>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>east harlem</td>\n",
       "      <td>714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>west town</td>\n",
       "      <td>692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>lower east side</td>\n",
       "      <td>691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>hollywood hills</td>\n",
       "      <td>676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>west hollywood</td>\n",
       "      <td>658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>astoria</td>\n",
       "      <td>653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>near north side</td>\n",
       "      <td>647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>downtown/civic center</td>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>washington heights</td>\n",
       "      <td>629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>financial district</td>\n",
       "      <td>613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>mission</td>\n",
       "      <td>612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>west village</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>glendale</td>\n",
       "      <td>577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>district 5</td>\n",
       "      <td>560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>lake view</td>\n",
       "      <td>556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>district 21</td>\n",
       "      <td>524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>south of market</td>\n",
       "      <td>523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>beverly hills</td>\n",
       "      <td>518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>chinatown</td>\n",
       "      <td>502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>district 6</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>mid-wilshire</td>\n",
       "      <td>458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>silver lake</td>\n",
       "      <td>454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>westlake</td>\n",
       "      <td>453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>hollywood hills west</td>\n",
       "      <td>449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>western addition</td>\n",
       "      <td>447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>rowland heights</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>westwood</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>koreatown</td>\n",
       "      <td>444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>sawtelle</td>\n",
       "      <td>443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>beverly grove</td>\n",
       "      <td>443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>inglewood</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>flatbush</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>pasadena</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>clinton hill</td>\n",
       "      <td>411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>east hollywood</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>kips bay</td>\n",
       "      <td>385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>logan square</td>\n",
       "      <td>379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>dorchester</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>long island city</td>\n",
       "      <td>371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>east flatbush</td>\n",
       "      <td>368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>park slope</td>\n",
       "      <td>356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>burbank</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>murray hill</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>echo park</td>\n",
       "      <td>355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>prospect-lefferts gardens</td>\n",
       "      <td>352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>woodside</td>\n",
       "      <td>348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>redondo beach</td>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>flushing</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>mid-city</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>north hollywood</td>\n",
       "      <td>338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>fort greene</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>haight ashbury</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>castro/upper market</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>culver city</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>sherman oaks</td>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>loop</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>malibu</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>near west side</td>\n",
       "      <td>306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>lincoln park</td>\n",
       "      <td>305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>sunset park</td>\n",
       "      <td>297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>studio city</td>\n",
       "      <td>295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>los feliz</td>\n",
       "      <td>293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>bernal heights</td>\n",
       "      <td>292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>theater district</td>\n",
       "      <td>292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>ridgewood</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>noe valley</td>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>alhambra</td>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>belltown</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>soho</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>mar vista</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>nob hill</td>\n",
       "      <td>268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>sunnyside</td>\n",
       "      <td>265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>topanga</td>\n",
       "      <td>259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>torrance</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>greenwich village</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>district 15</td>\n",
       "      <td>251</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        index  neighbourhood_cleansed\n",
       "0         other neighbourhood                   34135\n",
       "1                williamsburg                    2689\n",
       "2          bedford-stuyvesant                    2670\n",
       "3                      harlem                    1939\n",
       "4                    bushwick                    1645\n",
       "5                      venice                    1534\n",
       "6                   hollywood                    1488\n",
       "7                  long beach                    1472\n",
       "8              hell's kitchen                    1447\n",
       "9             upper west side                    1436\n",
       "10                    midtown                    1369\n",
       "11            upper east side                    1316\n",
       "12                district 19                    1313\n",
       "13               east village                    1305\n",
       "14                   downtown                    1263\n",
       "15               santa monica                    1134\n",
       "16              crown heights                    1104\n",
       "17                    chelsea                     834\n",
       "18                 greenpoint                     806\n",
       "19                district 17                     768\n",
       "20                east harlem                     714\n",
       "21                  west town                     692\n",
       "22            lower east side                     691\n",
       "23            hollywood hills                     676\n",
       "24             west hollywood                     658\n",
       "25                    astoria                     653\n",
       "26            near north side                     647\n",
       "27      downtown/civic center                     640\n",
       "28         washington heights                     629\n",
       "29         financial district                     613\n",
       "30                    mission                     612\n",
       "31               west village                     591\n",
       "32                   glendale                     577\n",
       "33                 district 5                     560\n",
       "34                  lake view                     556\n",
       "35                district 21                     524\n",
       "36            south of market                     523\n",
       "37              beverly hills                     518\n",
       "38                  chinatown                     502\n",
       "39                 district 6                     470\n",
       "40               mid-wilshire                     458\n",
       "41                silver lake                     454\n",
       "42                   westlake                     453\n",
       "43       hollywood hills west                     449\n",
       "44           western addition                     447\n",
       "45            rowland heights                     446\n",
       "46                   westwood                     446\n",
       "47                  koreatown                     444\n",
       "48                   sawtelle                     443\n",
       "49              beverly grove                     443\n",
       "50                  inglewood                     426\n",
       "51                   flatbush                     425\n",
       "52                   pasadena                     416\n",
       "53               clinton hill                     411\n",
       "54             east hollywood                     397\n",
       "55                   kips bay                     385\n",
       "56               logan square                     379\n",
       "57                 dorchester                     377\n",
       "58           long island city                     371\n",
       "59              east flatbush                     368\n",
       "60                 park slope                     356\n",
       "61                    burbank                     355\n",
       "62                murray hill                     355\n",
       "63                  echo park                     355\n",
       "64  prospect-lefferts gardens                     352\n",
       "65                   woodside                     348\n",
       "66              redondo beach                     345\n",
       "67                   flushing                     342\n",
       "68                   mid-city                     342\n",
       "69            north hollywood                     338\n",
       "70                fort greene                     335\n",
       "71             haight ashbury                     331\n",
       "72        castro/upper market                     331\n",
       "73                culver city                     331\n",
       "74               sherman oaks                     326\n",
       "75                       loop                     322\n",
       "76                     malibu                     314\n",
       "77             near west side                     306\n",
       "78               lincoln park                     305\n",
       "79                sunset park                     297\n",
       "80                studio city                     295\n",
       "81                  los feliz                     293\n",
       "82             bernal heights                     292\n",
       "83           theater district                     292\n",
       "84                  ridgewood                     288\n",
       "85                 noe valley                     288\n",
       "86                   alhambra                     284\n",
       "87                   belltown                     279\n",
       "88                       soho                     279\n",
       "89                  mar vista                     271\n",
       "90                   nob hill                     268\n",
       "91                  sunnyside                     265\n",
       "92                    topanga                     259\n",
       "93                   torrance                     258\n",
       "94          greenwich village                     257\n",
       "95                district 15                     251"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "other_neighbourhoods = nb_counts[nb_counts[\"count\"] < 250][\"neighbourhood\"].unique()\n",
    "for nb in other_neighbourhoods:\n",
    "    data[\"neighbourhood_cleansed\"].replace(nb, \"other neighbourhood\", inplace=True)\n",
    "data[\"neighbourhood_cleansed\"] = data[\"neighbourhood_cleansed\"].str.lower()\n",
    "data[\"neighbourhood_cleansed\"].value_counts().to_frame().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "accredited-market",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.concat([data, pd.get_dummies(data[\"neighbourhood_cleansed\"]).astype(\"category\")], axis=1)\n",
    "data.drop(columns=[\"neighbourhood_cleansed\", \"neighbourhood_group_cleansed\"], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "desperate-throw",
   "metadata": {},
   "source": [
    "# Handle outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "violent-puzzle",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.loc[data[\"minimum_nights\"] < 1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "underlying-absorption",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\cpsch\\northeastern\\spring 2021\\ds4900\\venv\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\tools.py:196: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = plt.figure(**fig_kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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HxBRgFnC1pCmp7vaImJ6mtQCpbh5wBtACfE3SCEkjgLuA84ApwCUF6/lSWtfpwAHgiiHaPzMzK0HRZBAReyPiqTT/GvA8MH6QLnOB1og4HBEvAe3AWWlqj4hdEfEboBWYK0nAHOCh1H8FcFHO/TEzsxwUEaU3liYBjwFTgc8CC4GDwFayo4cDkr4KbI6I76Q+9wDr0ipaIuLKVH4pMBO4IbU/PZVPBNZFxNR+tr8IWATQ2Ng4o7W1tczdzezv7GLfoVxdKzJt/ImD1nd3d9PQ0FCVbe/o6Mrdt3EMucer2D5XoprjVQnHVR7HVZ5K45o9e/a2iGjqWz6y1BVIagC+B3wmIg5Kuhu4CYj08zbgr3JHWIKIWAYsA2hqaorm5uZc67nz/lXctqPkXR8yu+c3D1rf1tZG3n0qZuHSR3L3XTytJ/d4FdvnSlRzvCrhuMrjuMpTrbhKeoVLGkWWCO6PiO8DRMS+gvpvAmvSYgcwsaD7hFTGAOWvAGMljYyInj7tzcysBkq5mkjAPcDzEfHlgvJxBc3+HHg2za8G5kk6TtJpwGTgCeBJYHK6cuhYsg+ZV0d2nmoTcHHqvwBYVdlumZlZOUo5MvgwcCmwQ9L2VPZ5squBppOdJtoN/DVAROyUtBJ4juxKpKsj4k0ASdcA64ERwPKI2JnWtwRolXQz8DRZ8jEzsxopmgwi4nFA/VStHaTPLcAt/ZSv7a9fROwiu9rIzMzqwN9ANjMzJwMzM3MyMDMznAzMzAwnAzMzw8nAzMxwMjAzM5wMzMwMJwMzM8PJwMzMcDIwMzOcDMzMDCcDMzPDycDMzHAyMDMznAzMzAwnAzMzo7RnIE+UtEnSc5J2Sro2lZ8saYOkF9PPk1K5JN0hqV3SM5LOLFjXgtT+RUkLCspnSNqR+tyRnrtsZmY1UsqRQQ+wOCKmALOAqyVNAZYCGyNiMrAxLQOcB0xO0yLgbsiSB3A9MJPsEZfX9yaQ1Oaqgn4tle+amZmVqmgyiIi9EfFUmn8NeB4YD8wFVqRmK4CL0vxc4L7IbAbGShoHnAtsiIjOiDgAbABaUt0JEbE5IgK4r2BdZmZWA8ref0tsLE0CHgOmAv8vIsamcgEHImKspDXArRHxeKrbCCwBmoHREXFzKv8CcAhoS+0/msr/DFgSERf2s/1FZEcbNDY2zmhtbS1/j4H9nV3sO5Sra0WmjT9x0Pru7m4aGhqqsu0dHV25+zaOIfd4FdvnSlRzvCrhuMrjuMpTaVyzZ8/eFhFNfctHlroCSQ3A94DPRMTBwtP6ERGSSs8qOUXEMmAZQFNTUzQ3N+daz533r+K2HSXv+pDZPb950Pq2tjby7lMxC5c+krvv4mk9ucer2D5XoprjVQnHVR7HVZ5qxVXS1USSRpElgvsj4vupeF86xUP6uT+VdwATC7pPSGWDlU/op9zMzGqklKuJBNwDPB8RXy6oWg30XhG0AFhVUH5ZuqpoFtAVEXuB9cA5kk5KHxyfA6xPdQclzUrbuqxgXWZmVgOlHPt/GLgU2CFpeyr7PHArsFLSFcDPgE+murXA+UA78AZwOUBEdEq6CXgytbsxIjrT/KeBe4ExwLo0mZlZjRRNBumD4IGu+z+7n/YBXD3AupYDy/sp30r2obSZmdWBv4FsZmZOBmZm5mRgZmY4GZiZGU4GZmaGk4GZmeFkYGZmOBmYmRlOBmZmhpOBmZnhZGBmZjgZmJkZTgZmZoaTgZmZ4WRgZmY4GZiZGU4GZmaGk4GZmVFCMpC0XNJ+Sc8WlN0gqUPS9jSdX1B3naR2SS9IOregvCWVtUtaWlB+mqQtqfxBSccO5Q6amVlxpRwZ3Au09FN+e0RMT9NaAElTgHnAGanP1ySNkDQCuAs4D5gCXJLaAnwpret04ABwRSU7ZGZm5SuaDCLiMaCzxPXNBVoj4nBEvAS0A2elqT0idkXEb4BWYK4kAXOAh1L/FcBF5e2CmZlVShFRvJE0CVgTEVPT8g3AQuAgsBVYHBEHJH0V2BwR30nt7gHWpdW0RMSVqfxSYCZwQ2p/eiqfCKzr3U4/cSwCFgE0NjbOaG1tLX+Pgf2dXew7lKtrRaaNP3HQ+u7ubhoaGqqy7R0dXbn7No4h93gV2+dKVHO8KuG4yuO4ylNpXLNnz94WEU19y0fmXN/dwE1ApJ+3AX+VO7oSRcQyYBlAU1NTNDc351rPnfev4rYdeXc9v93zmwetb2trI+8+FbNw6SO5+y6e1pN7vIrtcyWqOV6VcFzlcVzlqVZcuV7hEbGvd17SN4E1abEDmFjQdEIqY4DyV4CxkkZGRE+f9mZmViO5Li2VNK5g8c+B3iuNVgPzJB0n6TRgMvAE8CQwOV05dCzZh8yrIztHtQm4OPVfAKzKE5OZmeVX9MhA0gNAM3CKpJeB64FmSdPJThPtBv4aICJ2SloJPAf0AFdHxJtpPdcA64ERwPKI2Jk2sQRolXQz8DRwz1DtnJmZlaZoMoiIS/opHvANOyJuAW7pp3wtsLaf8l1kVxuZmVmd+BvIZmbmZGBmZk4GZmaGk4GZmeFkYGZmOBmYmRlOBmZmhpOBmZnhZGBmZjgZmJkZTgZmZoaTgZmZ4WRgZmY4GZiZGU4GZmaGk4GZmeFkYGZmlPbYy+XAhcD+iJiayk4GHgQmkT328pMRcUCSgH8CzgfeABZGxFOpzwLgv6XV3hwRK1L5DOBeYAzZk9CuTc9GNntb2tHRxcKlj9Rl27tvvaAu27W3v1KODO4FWvqULQU2RsRkYGNaBjgPmJymRcDd8LvkcT0wk+wRl9dLOin1uRu4qqBf322ZmVmVFU0GEfEY0NmneC6wIs2vAC4qKL8vMpuBsZLGAecCGyKiMyIOABuAllR3QkRsTkcD9xWsy8zMaiTvZwaNEbE3zf8CaEzz44E9Be1eTmWDlb/cT7mZmdVQ0c8MiomIkFSTc/ySFpGdfqKxsZG2trZc62kcA4un9QxhZKUpFm93d3fufSqmkv2tZLyqtT9Q3fGqRL3+vmDw8R6u4+W4ylOtuPImg32SxkXE3nSqZ38q7wAmFrSbkMo6gOY+5W2pfEI/7fsVEcuAZQBNTU3R3Nw8UNNB3Xn/Km7bUXEeLNvu+c2D1re1tZF3n4qp5APNxdN6co9XsX2uRDXHqxL1+vuCwcd7uI6X4ypPteLKe5poNbAgzS8AVhWUX6bMLKArnU5aD5wj6aT0wfE5wPpUd1DSrHQl0mUF6zIzsxop5dLSB8j+qz9F0stkVwXdCqyUdAXwM+CTqflasstK28kuLb0cICI6Jd0EPJna3RgRvR9Kf5rfX1q6Lk1mZlZDRZNBRFwyQNXZ/bQN4OoB1rMcWN5P+VZgarE4zMysevwNZDMzczIwMzMnAzMzw8nAzMxwMjAzM5wMzMwMJwMzM8PJwMzMcDIwMzOcDMzMDCcDMzNjCJ5nYGY2qcJbpOe9xbqf+Tx0fGRgZmZOBmZm5mRgZmY4GZiZGU4GZmaGk4GZmVFhMpC0W9IOSdslbU1lJ0vaIOnF9POkVC5Jd0hql/SMpDML1rMgtX9R0oLKdsnMzMo1FEcGsyNiekQ0peWlwMaImAxsTMsA5wGT07QIuBuy5AFcD8wEzgKu700gZmZWG9U4TTQXWJHmVwAXFZTfF5nNwFhJ44BzgQ0R0RkRB4ANQEsV4jIzswEoIvJ3ll4CDgABfCMilkl6NSLGpnoBByJirKQ1wK0R8Xiq2wgsAZqB0RFxcyr/AnAoIv5nP9tbRHZUQWNj44zW1tZcce/v7GLfoVxdKzJt/ImD1nd3d9PQ0FCVbe/o6Mrdt3EMucer2D5XoprjVYl6/X3B4OPtv6/yDNe/r0rjmj179raCMzm/U+ntKD4SER2S/hjYIOknhZUREZLyZ5s+ImIZsAygqakpmpubc63nzvtXcduO2t+JY/f85kHr29rayLtPxeT9uj9ktwvIO17F9rkS1RyvStTr7wsGH2//fZVnuP59VSuuik4TRURH+rkfeJjsnP++dPqH9HN/at4BTCzoPiGVDVRuZmY1kjsZSDpe0jt654FzgGeB1UDvFUELgFVpfjVwWbqqaBbQFRF7gfXAOZJOSh8cn5PKzMysRio5lm0EHs4+FmAk8N2I+N+SngRWSroC+BnwydR+LXA+0A68AVwOEBGdkm4CnkztboyIzgriMjOzMuVOBhGxC/hAP+WvAGf3Ux7A1QOsazmwPG8sZmZWGX8D2czMnAzMzMzJwMzMcDIwMzOcDMzMjMq/gWxmdlSaVMG3ritxb8vxVVmvjwzMzMzJwMzMnAzMzAwnAzMzw8nAzMxwMjAzM5wMzMwMJwMzM8PJwMzMcDIwMzOcDMzMDCcDMzNjGCUDSS2SXpDULmlpveMxMzuaDItkIGkEcBdwHjAFuETSlPpGZWZ29BgWyQA4C2iPiF0R8RugFZhb55jMzI4aioh6x4Cki4GWiLgyLV8KzIyIa/q0WwQsSovvBV7IuclTgF/l7FtNjqs8jqs8jqs8R2pc746IU/sWvq0ebhMRy4Blla5H0taIaBqCkIaU4yqP4yqP4yrP0RbXcDlN1AFMLFiekMrMzKwGhksyeBKYLOk0SccC84DVdY7JzOyoMSxOE0VEj6RrgPXACGB5ROys4iYrPtVUJY6rPI6rPI6rPEdVXMPiA2QzM6uv4XKayMzM6sjJwMzMjuxkUOwWF5KOk/Rgqt8iadIwiWuhpF9K2p6mK2sQ03JJ+yU9O0C9JN2RYn5G0pnVjqnEuJoldRWM1X+vUVwTJW2S9JyknZKu7adNzcesxLhqPmaSRkt6QtKPU1xf7KdNzV+PJcZV89djwbZHSHpa0pp+6oZ2vCLiiJzIPoj+KfAnwLHAj4Epfdp8Gvh6mp8HPDhM4loIfLXG4/UfgDOBZweoPx9YBwiYBWwZJnE1A2vq8Pc1Djgzzb8D+L/9/B5rPmYlxlXzMUtj0JDmRwFbgFl92tTj9VhKXDV/PRZs+7PAd/v7fQ31eB3JRwal3OJiLrAizT8EnC1JwyCumouIx4DOQZrMBe6LzGZgrKRxwyCuuoiIvRHxVJp/DXgeGN+nWc3HrMS4ai6NQXdaHJWmvlev1Pz1WGJcdSFpAnAB8K0BmgzpeB3JyWA8sKdg+WXe+qL4XZuI6AG6gD8aBnEB/EU6tfCQpIn91NdaqXHXw4fSYf46SWfUeuPp8PyDZP9VFqrrmA0SF9RhzNIpj+3AfmBDRAw4XjV8PZYSF9Tn9fgV4HPAbweoH9LxOpKTwdvZD4BJEfF+YAO/z/72Vk+R3WvlA8CdwD/XcuOSGoDvAZ+JiIO13PZgisRVlzGLiDcjYjrZHQbOkjS1FtstpoS4av56lHQhsD8itlV7W72O5GRQyi0uftdG0kjgROCVescVEa9ExOG0+C1gRpVjKsWwvGVIRBzsPcyPiLXAKEmn1GLbkkaRveHeHxHf76dJXcasWFz1HLO0zVeBTUBLn6p6vB6LxlWn1+OHgY9L2k12KnmOpO/0aTOk43UkJ4NSbnGxGliQ5i8GHo30aUw94+pzXvnjZOd96201cFm6QmYW0BURe+sdlKR/23ueVNJZZH/TVX8DSdu8B3g+Ir48QLOaj1kpcdVjzCSdKmlsmh8DfAz4SZ9mNX89lhJXPV6PEXFdREyIiElk7xGPRsRf9mk2pOM1LG5HUQ0xwC0uJN0IbI2I1WQvmm9Laif7kHLeMInrbyV9HOhJcS2sdlySHiC7yuQUSS8D15N9mEZEfB1YS3Z1TDvwBnB5tWMqMa6Lgb+R1AMcAubVIKFD9p/bpcCOdL4Z4PPAuwpiq8eYlRJXPcZsHLBC2YOsjgFWRsSaer8eS4yr5q/HgVRzvHw7CjMzO6JPE5mZWYmcDMzMzMnAzMycDMzMDCcDMzPDycDMzHAyMDMz4P8DmRuKxHHG4TQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_data = data.select_dtypes([\"float64\", \"int64\", \"int32\"])\n",
    "for col in num_data.columns:\n",
    "    num_data.hist(column=col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "increasing-cuisine",
   "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>picture_url</th>\n",
       "      <th>host_response_time</th>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <th>host_is_superhost</th>\n",
       "      <th>host_listings_count</th>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <th>host_identity_verified</th>\n",
       "      <th>accommodates</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>beds</th>\n",
       "      <th>price</th>\n",
       "      <th>minimum_nights</th>\n",
       "      <th>maximum_nights</th>\n",
       "      <th>has_availability</th>\n",
       "      <th>availability_90</th>\n",
       "      <th>number_of_reviews</th>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <th>review_scores_rating</th>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <th>review_scores_communication</th>\n",
       "      <th>review_scores_location</th>\n",
       "      <th>review_scores_value</th>\n",
       "      <th>instant_bookable</th>\n",
       "      <th>reviews_per_month</th>\n",
       "      <th>boston</th>\n",
       "      <th>cambridge</th>\n",
       "      <th>chicago</th>\n",
       "      <th>los angeles</th>\n",
       "      <th>nashville</th>\n",
       "      <th>new york city</th>\n",
       "      <th>san francisco</th>\n",
       "      <th>seattle</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>hangers</th>\n",
       "      <th>carbon_monoxide_alarm</th>\n",
       "      <th>air_conditioning</th>\n",
       "      <th>hair_dryer</th>\n",
       "      <th>shampoo</th>\n",
       "      <th>iron</th>\n",
       "      <th>dedicated_workspace</th>\n",
       "      <th>hot_water</th>\n",
       "      <th>washer</th>\n",
       "      <th>dryer</th>\n",
       "      <th>refrigerator</th>\n",
       "      <th>dishes_and_silverware</th>\n",
       "      <th>fire_extinguisher</th>\n",
       "      <th>microwave</th>\n",
       "      <th>coffee_maker</th>\n",
       "      <th>cooking_basics</th>\n",
       "      <th>stove</th>\n",
       "      <th>oven</th>\n",
       "      <th>bed_linens</th>\n",
       "      <th>free_street_parking</th>\n",
       "      <th>first_aid_kit</th>\n",
       "      <th>private_entrance</th>\n",
       "      <th>free_parking_on_premises</th>\n",
       "      <th>extra_pillows_and_blankets</th>\n",
       "      <th>dishwasher</th>\n",
       "      <th>patio_or_balcony</th>\n",
       "      <th>garden_or_backyard</th>\n",
       "      <th>luggage_dropoff_allowed</th>\n",
       "      <th>lock_on_bedroom_door</th>\n",
       "      <th>elevator</th>\n",
       "      <th>lockbox</th>\n",
       "      <th>bathtub</th>\n",
       "      <th>indoor_fireplace</th>\n",
       "      <th>gym</th>\n",
       "      <th>keypad</th>\n",
       "      <th>shower_gel</th>\n",
       "      <th>host_greets_you</th>\n",
       "      <th>bbq_grill</th>\n",
       "      <th>pool</th>\n",
       "      <th>days_hosting</th>\n",
       "      <th>days_since_first_review</th>\n",
       "      <th>days_since_last_review</th>\n",
       "      <th>been_reviewed</th>\n",
       "      <th>entire apartment</th>\n",
       "      <th>entire house</th>\n",
       "      <th>hotel room</th>\n",
       "      <th>other</th>\n",
       "      <th>private room</th>\n",
       "      <th>alhambra</th>\n",
       "      <th>astoria</th>\n",
       "      <th>bedford-stuyvesant</th>\n",
       "      <th>belltown</th>\n",
       "      <th>bernal heights</th>\n",
       "      <th>beverly grove</th>\n",
       "      <th>beverly hills</th>\n",
       "      <th>burbank</th>\n",
       "      <th>bushwick</th>\n",
       "      <th>castro/upper market</th>\n",
       "      <th>chelsea</th>\n",
       "      <th>chinatown</th>\n",
       "      <th>clinton hill</th>\n",
       "      <th>crown heights</th>\n",
       "      <th>culver city</th>\n",
       "      <th>district 15</th>\n",
       "      <th>district 17</th>\n",
       "      <th>district 19</th>\n",
       "      <th>district 21</th>\n",
       "      <th>district 5</th>\n",
       "      <th>district 6</th>\n",
       "      <th>dorchester</th>\n",
       "      <th>downtown</th>\n",
       "      <th>downtown/civic center</th>\n",
       "      <th>east flatbush</th>\n",
       "      <th>east harlem</th>\n",
       "      <th>east hollywood</th>\n",
       "      <th>east village</th>\n",
       "      <th>echo park</th>\n",
       "      <th>financial district</th>\n",
       "      <th>flatbush</th>\n",
       "      <th>flushing</th>\n",
       "      <th>fort greene</th>\n",
       "      <th>glendale</th>\n",
       "      <th>greenpoint</th>\n",
       "      <th>greenwich village</th>\n",
       "      <th>haight ashbury</th>\n",
       "      <th>harlem</th>\n",
       "      <th>hell's kitchen</th>\n",
       "      <th>hollywood</th>\n",
       "      <th>hollywood hills</th>\n",
       "      <th>hollywood hills west</th>\n",
       "      <th>inglewood</th>\n",
       "      <th>kips bay</th>\n",
       "      <th>koreatown</th>\n",
       "      <th>lake view</th>\n",
       "      <th>lincoln park</th>\n",
       "      <th>logan square</th>\n",
       "      <th>long beach</th>\n",
       "      <th>long island city</th>\n",
       "      <th>loop</th>\n",
       "      <th>los feliz</th>\n",
       "      <th>lower east side</th>\n",
       "      <th>malibu</th>\n",
       "      <th>mar vista</th>\n",
       "      <th>mid-city</th>\n",
       "      <th>mid-wilshire</th>\n",
       "      <th>midtown</th>\n",
       "      <th>mission</th>\n",
       "      <th>murray hill</th>\n",
       "      <th>near north side</th>\n",
       "      <th>near west side</th>\n",
       "      <th>nob hill</th>\n",
       "      <th>noe valley</th>\n",
       "      <th>north hollywood</th>\n",
       "      <th>other neighbourhood</th>\n",
       "      <th>park slope</th>\n",
       "      <th>pasadena</th>\n",
       "      <th>prospect-lefferts gardens</th>\n",
       "      <th>redondo beach</th>\n",
       "      <th>ridgewood</th>\n",
       "      <th>rowland heights</th>\n",
       "      <th>santa monica</th>\n",
       "      <th>sawtelle</th>\n",
       "      <th>sherman oaks</th>\n",
       "      <th>silver lake</th>\n",
       "      <th>soho</th>\n",
       "      <th>south of market</th>\n",
       "      <th>studio city</th>\n",
       "      <th>sunnyside</th>\n",
       "      <th>sunset park</th>\n",
       "      <th>theater district</th>\n",
       "      <th>topanga</th>\n",
       "      <th>torrance</th>\n",
       "      <th>upper east side</th>\n",
       "      <th>upper west side</th>\n",
       "      <th>venice</th>\n",
       "      <th>washington heights</th>\n",
       "      <th>west hollywood</th>\n",
       "      <th>west town</th>\n",
       "      <th>west village</th>\n",
       "      <th>western addition</th>\n",
       "      <th>westlake</th>\n",
       "      <th>westwood</th>\n",
       "      <th>williamsburg</th>\n",
       "      <th>woodside</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>https://a0.muscache.com/pictures/74327731/3e2a1ab3_original.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>5</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>150.000</td>\n",
       "      <td>4</td>\n",
       "      <td>1124</td>\n",
       "      <td>1</td>\n",
       "      <td>49</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>99.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2505.000</td>\n",
       "      <td>2095.000</td>\n",
       "      <td>105.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2182</th>\n",
       "      <td>https://a0.muscache.com/pictures/6252e03a-e7ab-4d51-8974-c94077b6e166.jpg</td>\n",
       "      <td>4</td>\n",
       "      <td>0.510</td>\n",
       "      <td>0.000</td>\n",
       "      <td>21.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>6</td>\n",
       "      <td>2.000</td>\n",
       "      <td>4.000</td>\n",
       "      <td>263.000</td>\n",
       "      <td>30</td>\n",
       "      <td>365</td>\n",
       "      <td>1</td>\n",
       "      <td>90</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>95.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2435.000</td>\n",
       "      <td>1741.000</td>\n",
       "      <td>329.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26508</th>\n",
       "      <td>https://a0.muscache.com/pictures/0dad66f0-a446-4ace-b486-e8eedc81d9ab.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>0.890</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>60.000</td>\n",
       "      <td>2</td>\n",
       "      <td>1125</td>\n",
       "      <td>1</td>\n",
       "      <td>76</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>96.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>9.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.650</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1216.000</td>\n",
       "      <td>489.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14947</th>\n",
       "      <td>https://a0.muscache.com/pictures/c047be08-5335-42f9-80a2-18541d549dc6.jpg</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.000</td>\n",
       "      <td>125.000</td>\n",
       "      <td>30</td>\n",
       "      <td>1125</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>6.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3438.000</td>\n",
       "      <td>1292.000</td>\n",
       "      <td>1258.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11873</th>\n",
       "      <td>https://a0.muscache.com/pictures/3860a27f-fba3-4664-bd91-d6675b3620a6.jpg</td>\n",
       "      <td>1</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>225.000</td>\n",
       "      <td>2</td>\n",
       "      <td>1124</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>10.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.150</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2776.000</td>\n",
       "      <td>1593.000</td>\n",
       "      <td>40.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                     picture_url  \\\n",
       "463              https://a0.muscache.com/pictures/74327731/3e2a1ab3_original.jpg   \n",
       "2182   https://a0.muscache.com/pictures/6252e03a-e7ab-4d51-8974-c94077b6e166.jpg   \n",
       "26508  https://a0.muscache.com/pictures/0dad66f0-a446-4ace-b486-e8eedc81d9ab.jpg   \n",
       "14947  https://a0.muscache.com/pictures/c047be08-5335-42f9-80a2-18541d549dc6.jpg   \n",
       "11873  https://a0.muscache.com/pictures/3860a27f-fba3-4664-bd91-d6675b3620a6.jpg   \n",
       "\n",
       "       host_response_time  host_acceptance_rate host_is_superhost  \\\n",
       "463                     1                 1.000             0.000   \n",
       "2182                    4                 0.510             0.000   \n",
       "26508                   1                 0.890             0.000   \n",
       "14947                   0                   NaN             0.000   \n",
       "11873                   1                 0.780             0.000   \n",
       "\n",
       "       host_listings_count host_has_profile_pic host_identity_verified  \\\n",
       "463                  3.000                1.000                  1.000   \n",
       "2182                21.000                1.000                  1.000   \n",
       "26508                2.000                1.000                  1.000   \n",
       "14947                1.000                1.000                  1.000   \n",
       "11873                1.000                1.000                  1.000   \n",
       "\n",
       "       accommodates  bathrooms  beds   price  minimum_nights  maximum_nights  \\\n",
       "463               5      1.000 2.000 150.000               4            1124   \n",
       "2182              6      2.000 4.000 263.000              30             365   \n",
       "26508             2      1.000 0.000  60.000               2            1125   \n",
       "14947             2      0.500 1.000 125.000              30            1125   \n",
       "11873             2      1.000 1.000 225.000               2            1124   \n",
       "\n",
       "      has_availability  availability_90  number_of_reviews  \\\n",
       "463                  1               49                 36   \n",
       "2182                 1               90                 20   \n",
       "26508                1               76                 27   \n",
       "14947                1                0                  2   \n",
       "11873                1                0                 61   \n",
       "\n",
       "       number_of_reviews_l30d  review_scores_rating  review_scores_accuracy  \\\n",
       "463                         0                99.000                  10.000   \n",
       "2182                        0                95.000                  10.000   \n",
       "26508                       1                96.000                  10.000   \n",
       "14947                       0               100.000                  10.000   \n",
       "11873                       0               100.000                  10.000   \n",
       "\n",
       "       review_scores_cleanliness  review_scores_checkin  \\\n",
       "463                       10.000                 10.000   \n",
       "2182                      10.000                 10.000   \n",
       "26508                     10.000                 10.000   \n",
       "14947                     10.000                  6.000   \n",
       "11873                     10.000                 10.000   \n",
       "\n",
       "       review_scores_communication  review_scores_location  \\\n",
       "463                         10.000                  10.000   \n",
       "2182                        10.000                  10.000   \n",
       "26508                       10.000                   9.000   \n",
       "14947                       10.000                  10.000   \n",
       "11873                       10.000                  10.000   \n",
       "\n",
       "       review_scores_value instant_bookable  reviews_per_month boston  \\\n",
       "463                 10.000                0              0.520      0   \n",
       "2182                 9.000                0              0.340      0   \n",
       "26508                9.000                1              1.650      0   \n",
       "14947               10.000                0              0.050      0   \n",
       "11873               10.000                1              1.150      0   \n",
       "\n",
       "      cambridge chicago los angeles nashville new york city san francisco  \\\n",
       "463           0       0           0         0             0             0   \n",
       "2182          0       0           1         0             0             0   \n",
       "26508         0       0           0         0             1             0   \n",
       "14947         0       0           0         0             1             0   \n",
       "11873         0       0           0         0             1             0   \n",
       "\n",
       "      seattle kitchen hangers carbon_monoxide_alarm air_conditioning  \\\n",
       "463         1       1       1                     1                1   \n",
       "2182        0       1       1                     1                1   \n",
       "26508       0       1       0                     0                1   \n",
       "14947       0       1       0                     1                0   \n",
       "11873       0       1       1                     1                1   \n",
       "\n",
       "      hair_dryer shampoo iron dedicated_workspace hot_water washer dryer  \\\n",
       "463            1       1    1                   1         1      1     1   \n",
       "2182           1       1    1                   1         1      1     1   \n",
       "26508          1       1    1                   1         1      0     0   \n",
       "14947          0       0    0                   0         0      0     0   \n",
       "11873          1       1    1                   1         1      1     1   \n",
       "\n",
       "      refrigerator dishes_and_silverware fire_extinguisher microwave  \\\n",
       "463              1                     1                 1         1   \n",
       "2182             1                     1                 1         1   \n",
       "26508            1                     1                 0         0   \n",
       "14947            0                     0                 0         0   \n",
       "11873            1                     1                 0         1   \n",
       "\n",
       "      coffee_maker cooking_basics stove oven bed_linens free_street_parking  \\\n",
       "463              1              1     1    1          0                   1   \n",
       "2182             1              1     1    1          1                   0   \n",
       "26508            1              1     1    1          1                   1   \n",
       "14947            0              0     0    0          0                   0   \n",
       "11873            1              1     1    1          0                   1   \n",
       "\n",
       "      first_aid_kit private_entrance free_parking_on_premises  \\\n",
       "463               1                0                        0   \n",
       "2182              0                1                        1   \n",
       "26508             1                1                        0   \n",
       "14947             0                0                        0   \n",
       "11873             1                0                        0   \n",
       "\n",
       "      extra_pillows_and_blankets dishwasher patio_or_balcony  \\\n",
       "463                            0          1                0   \n",
       "2182                           1          1                1   \n",
       "26508                          0          0                0   \n",
       "14947                          0          0                0   \n",
       "11873                          0          1                0   \n",
       "\n",
       "      garden_or_backyard luggage_dropoff_allowed lock_on_bedroom_door  \\\n",
       "463                    1                       0                    0   \n",
       "2182                   1                       0                    0   \n",
       "26508                  0                       0                    0   \n",
       "14947                  0                       0                    0   \n",
       "11873                  0                       1                    0   \n",
       "\n",
       "      elevator lockbox bathtub indoor_fireplace gym keypad shower_gel  \\\n",
       "463          0       1       0                0   0      0          0   \n",
       "2182         1       0       1                1   1      0          0   \n",
       "26508        0       1       0                1   0      0          0   \n",
       "14947        0       0       0                0   0      0          0   \n",
       "11873        1       1       0                0   1      0          0   \n",
       "\n",
       "      host_greets_you bbq_grill pool  days_hosting  days_since_first_review  \\\n",
       "463                 0         0    0      2505.000                 2095.000   \n",
       "2182                0         0    1      2435.000                 1741.000   \n",
       "26508               0         0    0      1216.000                  489.000   \n",
       "14947               0         0    0      3438.000                 1292.000   \n",
       "11873               0         0    0      2776.000                 1593.000   \n",
       "\n",
       "       days_since_last_review been_reviewed entire apartment entire house  \\\n",
       "463                   105.000             1                0            1   \n",
       "2182                  329.000             1                1            0   \n",
       "26508                   6.000             1                1            0   \n",
       "14947                1258.000             1                1            0   \n",
       "11873                  40.000             1                1            0   \n",
       "\n",
       "      hotel room other private room alhambra astoria bedford-stuyvesant  \\\n",
       "463            0     0            0        0       0                  0   \n",
       "2182           0     0            0        0       0                  0   \n",
       "26508          0     0            0        0       0                  0   \n",
       "14947          0     0            0        0       0                  0   \n",
       "11873          0     0            0        0       0                  0   \n",
       "\n",
       "      belltown bernal heights beverly grove beverly hills burbank bushwick  \\\n",
       "463          0              0             0             0       0        0   \n",
       "2182         0              0             0             0       0        0   \n",
       "26508        0              0             0             0       0        0   \n",
       "14947        0              0             0             0       0        0   \n",
       "11873        0              0             0             0       0        0   \n",
       "\n",
       "      castro/upper market chelsea chinatown clinton hill crown heights  \\\n",
       "463                     0       0         0            0             0   \n",
       "2182                    0       0         0            0             0   \n",
       "26508                   0       0         0            0             0   \n",
       "14947                   0       0         0            0             0   \n",
       "11873                   0       0         0            0             0   \n",
       "\n",
       "      culver city district 15 district 17 district 19 district 21 district 5  \\\n",
       "463             0           0           0           0           0          0   \n",
       "2182            0           0           0           0           0          0   \n",
       "26508           0           0           0           0           0          0   \n",
       "14947           0           0           0           0           0          0   \n",
       "11873           0           0           0           0           0          0   \n",
       "\n",
       "      district 6 dorchester downtown downtown/civic center east flatbush  \\\n",
       "463            0          0        0                     0             0   \n",
       "2182           0          0        0                     0             0   \n",
       "26508          0          0        0                     0             0   \n",
       "14947          0          0        0                     0             0   \n",
       "11873          0          0        0                     0             0   \n",
       "\n",
       "      east harlem east hollywood east village echo park financial district  \\\n",
       "463             0              0            0         0                  0   \n",
       "2182            0              0            0         0                  0   \n",
       "26508           0              0            0         0                  0   \n",
       "14947           0              0            1         0                  0   \n",
       "11873           0              0            0         0                  0   \n",
       "\n",
       "      flatbush flushing fort greene glendale greenpoint greenwich village  \\\n",
       "463          0        0           0        0          0                 0   \n",
       "2182         0        0           0        0          0                 0   \n",
       "26508        0        0           0        0          0                 0   \n",
       "14947        0        0           0        0          0                 0   \n",
       "11873        0        0           0        0          0                 0   \n",
       "\n",
       "      haight ashbury harlem hell's kitchen hollywood hollywood hills  \\\n",
       "463                0      0              0         0               0   \n",
       "2182               0      0              0         0               0   \n",
       "26508              0      0              0         0               0   \n",
       "14947              0      0              0         0               0   \n",
       "11873              0      0              0         0               0   \n",
       "\n",
       "      hollywood hills west inglewood kips bay koreatown lake view  \\\n",
       "463                      0         0        0         0         0   \n",
       "2182                     0         0        0         0         0   \n",
       "26508                    0         0        0         0         0   \n",
       "14947                    0         0        0         0         0   \n",
       "11873                    0         0        0         0         0   \n",
       "\n",
       "      lincoln park logan square long beach long island city loop los feliz  \\\n",
       "463              0            0          0                0    0         0   \n",
       "2182             0            0          0                0    0         0   \n",
       "26508            0            0          0                0    0         0   \n",
       "14947            0            0          0                0    0         0   \n",
       "11873            0            0          0                0    0         0   \n",
       "\n",
       "      lower east side malibu mar vista mid-city mid-wilshire midtown mission  \\\n",
       "463                 0      0         0        0            0       0       0   \n",
       "2182                0      0         0        0            0       0       0   \n",
       "26508               0      0         0        0            0       0       0   \n",
       "14947               0      0         0        0            0       0       0   \n",
       "11873               0      0         0        0            0       0       0   \n",
       "\n",
       "      murray hill near north side near west side nob hill noe valley  \\\n",
       "463             0               0              0        0          0   \n",
       "2182            0               0              0        0          0   \n",
       "26508           0               0              0        0          0   \n",
       "14947           0               0              0        0          0   \n",
       "11873           0               0              0        0          0   \n",
       "\n",
       "      north hollywood other neighbourhood park slope pasadena  \\\n",
       "463                 0                   1          0        0   \n",
       "2182                0                   0          0        0   \n",
       "26508               0                   1          0        0   \n",
       "14947               0                   0          0        0   \n",
       "11873               0                   0          0        0   \n",
       "\n",
       "      prospect-lefferts gardens redondo beach ridgewood rowland heights  \\\n",
       "463                           0             0         0               0   \n",
       "2182                          0             0         0               0   \n",
       "26508                         0             0         0               0   \n",
       "14947                         0             0         0               0   \n",
       "11873                         0             0         0               0   \n",
       "\n",
       "      santa monica sawtelle sherman oaks silver lake soho south of market  \\\n",
       "463              0        0            0           0    0               0   \n",
       "2182             0        0            0           0    0               0   \n",
       "26508            0        0            0           0    0               0   \n",
       "14947            0        0            0           0    0               0   \n",
       "11873            0        0            0           0    0               0   \n",
       "\n",
       "      studio city sunnyside sunset park theater district topanga torrance  \\\n",
       "463             0         0           0                0       0        0   \n",
       "2182            0         0           0                0       0        0   \n",
       "26508           0         0           0                0       0        0   \n",
       "14947           0         0           0                0       0        0   \n",
       "11873           0         0           0                0       0        0   \n",
       "\n",
       "      upper east side upper west side venice washington heights  \\\n",
       "463                 0               0      0                  0   \n",
       "2182                0               0      0                  0   \n",
       "26508               0               0      0                  0   \n",
       "14947               0               0      0                  0   \n",
       "11873               0               0      0                  0   \n",
       "\n",
       "      west hollywood west town west village western addition westlake  \\\n",
       "463                0         0            0                0        0   \n",
       "2182               0         0            0                0        0   \n",
       "26508              0         0            0                0        0   \n",
       "14947              0         0            0                0        0   \n",
       "11873              0         0            0                0        0   \n",
       "\n",
       "      westwood williamsburg woodside  \n",
       "463          0            0        0  \n",
       "2182         1            0        0  \n",
       "26508        0            0        0  \n",
       "14947        0            0        0  \n",
       "11873        0            1        0  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "mexican-disease",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(axis = 0, subset = [\"beds\", \"bathrooms\", \"days_hosting\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "australian-genesis",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>host_acceptance_rate</th>\n",
       "      <td>25618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_value</th>\n",
       "      <td>22521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_location</th>\n",
       "      <td>22517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_checkin</th>\n",
       "      <td>22514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_accuracy</th>\n",
       "      <td>22489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_communication</th>\n",
       "      <td>22487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_cleanliness</th>\n",
       "      <td>22475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>review_scores_rating</th>\n",
       "      <td>22139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_since_first_review</th>\n",
       "      <td>20956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_since_last_review</th>\n",
       "      <td>20956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reviews_per_month</th>\n",
       "      <td>20956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>picture_url</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hell's kitchen</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>greenwich village</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>haight ashbury</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>harlem</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hollywood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>glendale</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hollywood hills</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hollywood hills west</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inglewood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kips bay</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>koreatown</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lake view</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lincoln park</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logan square</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>long beach</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>long island city</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loop</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>los feliz</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>greenpoint</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial district</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fort greene</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flushing</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>culver city</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>district 15</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>district 17</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>district 19</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>district 21</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>district 5</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>district 6</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dorchester</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>downtown</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>downtown/civic center</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>east flatbush</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>east harlem</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>east hollywood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>east village</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>echo park</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>malibu</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>flatbush</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lower east side</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mission</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mar vista</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>upper west side</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>south of market</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>studio city</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sunnyside</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sunset park</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>theater district</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>topanga</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>torrance</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>upper east side</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>venice</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mid-city</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>washington heights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>west hollywood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>west town</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>west village</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>western addition</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>westlake</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>westwood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>williamsburg</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>soho</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>silver lake</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sherman oaks</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sawtelle</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mid-wilshire</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>midtown</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clinton hill</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>murray hill</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>near north side</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>near west side</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nob hill</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>noe valley</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>north hollywood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other neighbourhood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>park slope</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pasadena</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prospect-lefferts gardens</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>redondo beach</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ridgewood</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rowland heights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>santa monica</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crown heights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beverly hills</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chinatown</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nashville</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>san francisco</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>seattle</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kitchen</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hangers</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carbon_monoxide_alarm</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air_conditioning</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hair_dryer</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shampoo</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>iron</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dedicated_workspace</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hot_water</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>washer</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dryer</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>refrigerator</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishes_and_silverware</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fire_extinguisher</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>microwave</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>new york city</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>los angeles</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cooking_basics</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chicago</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_is_superhost</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_listings_count</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_has_profile_pic</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_identity_verified</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accommodates</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beds</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minimum_nights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maximum_nights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>has_availability</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>availability_90</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_reviews_l30d</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instant_bookable</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>boston</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cambridge</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coffee_maker</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stove</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chelsea</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bbq_grill</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>days_hosting</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>been_reviewed</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entire apartment</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>entire house</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hotel room</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>other</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>private room</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alhambra</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>astoria</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedford-stuyvesant</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>belltown</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bernal heights</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beverly grove</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_response_time</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>burbank</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bushwick</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>castro/upper market</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pool</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host_greets_you</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oven</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shower_gel</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bed_linens</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>free_street_parking</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>first_aid_kit</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>private_entrance</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>free_parking_on_premises</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>extra_pillows_and_blankets</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>patio_or_balcony</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>garden_or_backyard</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>luggage_dropoff_allowed</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lock_on_bedroom_door</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>elevator</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lockbox</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathtub</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>indoor_fireplace</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gym</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>keypad</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>woodside</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 0\n",
       "host_acceptance_rate         25618\n",
       "review_scores_value          22521\n",
       "review_scores_location       22517\n",
       "review_scores_checkin        22514\n",
       "review_scores_accuracy       22489\n",
       "review_scores_communication  22487\n",
       "review_scores_cleanliness    22475\n",
       "review_scores_rating         22139\n",
       "days_since_first_review      20956\n",
       "days_since_last_review       20956\n",
       "reviews_per_month            20956\n",
       "picture_url                      0\n",
       "hell's kitchen                   0\n",
       "greenwich village                0\n",
       "haight ashbury                   0\n",
       "harlem                           0\n",
       "hollywood                        0\n",
       "glendale                         0\n",
       "hollywood hills                  0\n",
       "hollywood hills west             0\n",
       "inglewood                        0\n",
       "kips bay                         0\n",
       "koreatown                        0\n",
       "lake view                        0\n",
       "lincoln park                     0\n",
       "logan square                     0\n",
       "long beach                       0\n",
       "long island city                 0\n",
       "loop                             0\n",
       "los feliz                        0\n",
       "greenpoint                       0\n",
       "financial district               0\n",
       "fort greene                      0\n",
       "flushing                         0\n",
       "culver city                      0\n",
       "district 15                      0\n",
       "district 17                      0\n",
       "district 19                      0\n",
       "district 21                      0\n",
       "district 5                       0\n",
       "district 6                       0\n",
       "dorchester                       0\n",
       "downtown                         0\n",
       "downtown/civic center            0\n",
       "east flatbush                    0\n",
       "east harlem                      0\n",
       "east hollywood                   0\n",
       "east village                     0\n",
       "echo park                        0\n",
       "malibu                           0\n",
       "flatbush                         0\n",
       "lower east side                  0\n",
       "mission                          0\n",
       "mar vista                        0\n",
       "upper west side                  0\n",
       "south of market                  0\n",
       "studio city                      0\n",
       "sunnyside                        0\n",
       "sunset park                      0\n",
       "theater district                 0\n",
       "topanga                          0\n",
       "torrance                         0\n",
       "upper east side                  0\n",
       "venice                           0\n",
       "mid-city                         0\n",
       "washington heights               0\n",
       "west hollywood                   0\n",
       "west town                        0\n",
       "west village                     0\n",
       "western addition                 0\n",
       "westlake                         0\n",
       "westwood                         0\n",
       "williamsburg                     0\n",
       "soho                             0\n",
       "silver lake                      0\n",
       "sherman oaks                     0\n",
       "sawtelle                         0\n",
       "mid-wilshire                     0\n",
       "midtown                          0\n",
       "clinton hill                     0\n",
       "murray hill                      0\n",
       "near north side                  0\n",
       "near west side                   0\n",
       "nob hill                         0\n",
       "noe valley                       0\n",
       "north hollywood                  0\n",
       "other neighbourhood              0\n",
       "park slope                       0\n",
       "pasadena                         0\n",
       "prospect-lefferts gardens        0\n",
       "redondo beach                    0\n",
       "ridgewood                        0\n",
       "rowland heights                  0\n",
       "santa monica                     0\n",
       "crown heights                    0\n",
       "beverly hills                    0\n",
       "chinatown                        0\n",
       "nashville                        0\n",
       "san francisco                    0\n",
       "seattle                          0\n",
       "kitchen                          0\n",
       "hangers                          0\n",
       "carbon_monoxide_alarm            0\n",
       "air_conditioning                 0\n",
       "hair_dryer                       0\n",
       "shampoo                          0\n",
       "iron                             0\n",
       "dedicated_workspace              0\n",
       "hot_water                        0\n",
       "washer                           0\n",
       "dryer                            0\n",
       "refrigerator                     0\n",
       "dishes_and_silverware            0\n",
       "fire_extinguisher                0\n",
       "microwave                        0\n",
       "new york city                    0\n",
       "los angeles                      0\n",
       "cooking_basics                   0\n",
       "chicago                          0\n",
       "host_is_superhost                0\n",
       "host_listings_count              0\n",
       "host_has_profile_pic             0\n",
       "host_identity_verified           0\n",
       "accommodates                     0\n",
       "bathrooms                        0\n",
       "beds                             0\n",
       "price                            0\n",
       "minimum_nights                   0\n",
       "maximum_nights                   0\n",
       "has_availability                 0\n",
       "availability_90                  0\n",
       "number_of_reviews                0\n",
       "number_of_reviews_l30d           0\n",
       "instant_bookable                 0\n",
       "boston                           0\n",
       "cambridge                        0\n",
       "coffee_maker                     0\n",
       "stove                            0\n",
       "chelsea                          0\n",
       "bbq_grill                        0\n",
       "days_hosting                     0\n",
       "been_reviewed                    0\n",
       "entire apartment                 0\n",
       "entire house                     0\n",
       "hotel room                       0\n",
       "other                            0\n",
       "private room                     0\n",
       "alhambra                         0\n",
       "astoria                          0\n",
       "bedford-stuyvesant               0\n",
       "belltown                         0\n",
       "bernal heights                   0\n",
       "beverly grove                    0\n",
       "host_response_time               0\n",
       "burbank                          0\n",
       "bushwick                         0\n",
       "castro/upper market              0\n",
       "pool                             0\n",
       "host_greets_you                  0\n",
       "oven                             0\n",
       "shower_gel                       0\n",
       "bed_linens                       0\n",
       "free_street_parking              0\n",
       "first_aid_kit                    0\n",
       "private_entrance                 0\n",
       "free_parking_on_premises         0\n",
       "extra_pillows_and_blankets       0\n",
       "dishwasher                       0\n",
       "patio_or_balcony                 0\n",
       "garden_or_backyard               0\n",
       "luggage_dropoff_allowed          0\n",
       "lock_on_bedroom_door             0\n",
       "elevator                         0\n",
       "lockbox                          0\n",
       "bathtub                          0\n",
       "indoor_fireplace                 0\n",
       "gym                              0\n",
       "keypad                           0\n",
       "woodside                         0"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nulls = data.isna().sum().to_frame().sort_values(0, ascending=False)\n",
    "nulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "million-shakespeare",
   "metadata": {},
   "outputs": [],
   "source": [
    "null_cols = nulls[nulls[0] > 0].index\n",
    "data[null_cols] = data[null_cols].fillna(data[null_cols].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "tribal-target",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(92893, 179)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "unnecessary-rebate",
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"picture_url\"].to_csv(\"picture_urls.csv\", index=False, mode='w+')\n",
    "data.drop(columns=[\"picture_url\"], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "helpful-mapping",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in num_data.columns:\n",
    "    data[col].clip(data[col].min(), data[col].quantile(0.99), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "sticky-certificate",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\cpsch\\northeastern\\spring 2021\\ds4900\\venv\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\tools.py:196: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  fig = plt.figure(**fig_kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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PJ8q6TgB2A5eM0/5FREQD6iYD29ttf73M/xB4Epg+RpfFQL/tV2w/AwxS/VbyKcCg7adt/wToBxZLEnA6cFfpvxo4r8X9iYiIFjR1zUDSLOCdwIOl6DJJj0laJenoUjYdeLam23OlbLTyNwMv2N47rDwiIrpEthtrKE0B/g9wne0vS+oBfgAYuAaYZvu3JX0S2Gj7C6XfLcA9ZTWLbH+glF8EnApcXdqfUMpnAvfYPmmEGJYDywF6enrm9/f3t7TTO3ftYcfLLXVty9zpR41ZPzQ0xJQpUzqy7c3b9rTct2cyLY9XvX1uRyfHqx2JqzmJqzntxrVw4cJNtnuHlx/SSGdJhwJfAm63/WUA2ztq6j8H3F0WtwEza7rPKGWMUv48MFXSIeXooLb9P2N7JbASoLe31319fY2E/xo3376GGzY3tOvjauuFfWPWDwwM0Oo+1bNsxVdb7nv53L0tj1e9fW5HJ8erHYmrOYmrOZ2Kq5G7iQTcAjxp+89qyqfVNPtN4PEyvxZYIulwSccDs4GHgIeB2eXOocOoLjKvdXVoch9wfum/FFjT3m5FREQzGvm49y7gImCzpEdL2Uep7gaaR3WaaCvwOwC2t0i6E3iC6k6kS22/CiDpMmA9MAlYZXtLWd8VQL+ka4FvUCWfiIjokrrJwPYDgEaoWjdGn+uA60YoXzdSP9tPU91tFBEREyDfQI6IiCSDiIhIMoiICJIMIiKCJIOIiCDJICIiSDKIiAiSDCIigiSDiIggySAiIkgyiIgIkgwiIoIkg4iIIMkgIiJIMoiICJIMIiKCJIOIiCDJICIiaCAZSJop6T5JT0jaIukjpfwYSRskfbv8e3Qpl6SbJA1KekzSyTXrWlraf1vS0pry+ZI2lz43SRrpZzYjIqJDGjky2AtcbnsOsAC4VNIcYAVwr+3ZwL1lGeBsYHaZlgOfgSp5AFcBp1L93vFV+xJIafPBmn6L2t+1iIhoVN1kYHu77a+X+R8CTwLTgcXA6tJsNXBemV8M3ObKRmCqpGnAWcAG27ts7wY2AItK3Ztsb7Rt4LaadUVERBeoev9tsLE0C7gfOAn4f7anlnIBu21PlXQ3cL3tB0rdvcAVQB9whO1rS/nHgJeBgdL+10v5rwFX2H7PCNtfTnW0QU9Pz/z+/v7m9xjYuWsPO15uqWtb5k4/asz6oaEhpkyZ0pFtb962p+W+PZNpebzq7XM7Ojle7UhczUlczWk3roULF26y3Tu8/JBGVyBpCvAl4Pdtv1h7Wt+2JTWeVVpkeyWwEqC3t9d9fX0trefm29dww+aGd33cbL2wb8z6gYEBWt2nepat+GrLfS+fu7fl8aq3z+3o5Hi1I3E1J3E1p1NxNXQ3kaRDqRLB7ba/XIp3lFM8lH93lvJtwMya7jNK2VjlM0Yoj4iILmnkbiIBtwBP2v6zmqq1wL47gpYCa2rKLy53FS0A9tjeDqwHzpR0dLlwfCawvtS9KGlB2dbFNeuKiIguaOTY/13ARcBmSY+Wso8C1wN3SroE+C7wvlK3DjgHGAReAt4PYHuXpGuAh0u7j9veVeY/DNwKTAbuKVNERHRJ3WRQLgSPdt//GSO0N3DpKOtaBawaofwRqovSERExAfIN5IiISDKIiIgkg4iIIMkgIiJIMoiICJIMIiKCJIOIiCDJICIiSDKIiAiSDCIigiSDiIggySAiIkgyiIgIkgwiIoIkg4iIIMkgIiJIMoiICJIMIiKCBpKBpFWSdkp6vKbsaknbJD1apnNq6q6UNCjpKUln1ZQvKmWDklbUlB8v6cFSfoekw8ZzByMior5GjgxuBRaNUH6j7XllWgcgaQ6wBDix9Pm0pEmSJgGfAs4G5gAXlLYAnyjrOgHYDVzSzg5FRETz6iYD2/cDuxpc32Kg3/Yrtp8BBoFTyjRo+2nbPwH6gcWSBJwO3FX6rwbOa24XIiKiXbJdv5E0C7jb9kll+WpgGfAi8Ahwue3dkj4JbLT9hdLuFuCesppFtj9Qyi8CTgWuLu1PKOUzgXv2bWeEOJYDywF6enrm9/f3N7/HwM5de9jxcktd2zJ3+lFj1g8NDTFlypSObHvztj0t9+2ZTMvjVW+f29HJ8WpH4mpO4mpOu3EtXLhwk+3e4eWHtLi+zwDXAC7/3gD8dsvRNcj2SmAlQG9vr/v6+lpaz823r+GGza3ueuu2Xtg3Zv3AwACt7lM9y1Z8teW+l8/d2/J41dvndnRyvNqRuJqTuJrTqbhaeoXb3rFvXtLngLvL4jZgZk3TGaWMUcqfB6ZKOsT23mHtIyKiS1q6tVTStJrF3wT23Wm0Flgi6XBJxwOzgYeAh4HZ5c6hw6guMq91dY7qPuD80n8psKaVmCIionV1jwwkfRHoA46V9BxwFdAnaR7VaaKtwO8A2N4i6U7gCWAvcKntV8t6LgPWA5OAVba3lE1cAfRLuhb4BnDLeO1cREQ0pm4ysH3BCMWjvmHbvg64boTydcC6EcqfprrbKCIiJki+gRwREUkGERGRZBARESQZREQESQYREUGSQUREkGQQEREkGUREBEkGERFBkkFERJBkEBERJBlERARJBhERQZJBRESQZBARESQZREQESQYREUFjP3u5CngPsNP2SaXsGOAOYBbVz16+z/ZuSQL+AjgHeAlYZvvrpc9S4L+U1V5re3Upnw/cCkym+iW0j5TfRo54Xdq8bQ/LVnx1Qra99fpzJ2S78frXyJHBrcCiYWUrgHttzwbuLcsAZwOzy7Qc+Az8LHlcBZxK9ROXV0k6uvT5DPDBmn7DtxURER1WNxnYvh/YNax4MbC6zK8Gzqspv82VjcBUSdOAs4ANtnfZ3g1sABaVujfZ3liOBm6rWVdERHRJq9cMemxvL/PfB3rK/HTg2Zp2z5WyscqfG6E8IiK6qO41g3psW1JXzvFLWk51+omenh4GBgZaWk/PZLh87t5xjKwx9eIdGhpqeZ/qaWd/2xmvTu0PdHa82jFRf18w9njvr+OVuJrTqbhaTQY7JE2zvb2c6tlZyrcBM2vazShl24C+YeUDpXzGCO1HZHslsBKgt7fXfX19ozUd0823r+GGzW3nwaZtvbBvzPqBgQFa3ad62rmgefncvS2PV719bkcnx6sdE/X3BWOP9/46XomrOZ2Kq9XTRGuBpWV+KbCmpvxiVRYAe8rppPXAmZKOLheOzwTWl7oXJS0odyJdXLOuiIjokkZuLf0i1af6YyU9R3VX0PXAnZIuAb4LvK80X0d1W+kg1a2l7wewvUvSNcDDpd3Hbe+7KP1hfn5r6T1lioiILqqbDGxfMErVGSO0NXDpKOtZBawaofwR4KR6cUREROfkG8gREZFkEBERSQYREUGSQUREkGQQEREkGUREBEkGERFBkkFERJBkEBERJBlERARJBhERwTj8nkFExKw2H5He6iPW85vP4ydHBhERkWQQERFJBhERQZJBRESQZBARESQZREQEbSYDSVslbZb0qKRHStkxkjZI+nb59+hSLkk3SRqU9Jikk2vWs7S0/7akpe3tUkRENGs8jgwW2p5nu7csrwDutT0buLcsA5wNzC7TcuAzUCUP4CrgVOAU4Kp9CSQiIrqjE6eJFgOry/xq4Lya8ttc2QhMlTQNOAvYYHuX7d3ABmBRB+KKiIhRyHbrnaVngN2Agb+0vVLSC7anlnoBu21PlXQ3cL3tB0rdvcAVQB9whO1rS/nHgJdt/48Rtrec6qiCnp6e+f39/S3FvXPXHna83FLXtsydftSY9UNDQ0yZMqUj2968bU/LfXsm0/J41dvndnRyvNoxUX9fMPZ45++rOfvr31e7cS1cuHBTzZmcn2n3cRS/anubpF8ANkj6Vm2lbUtqPdsMY3slsBKgt7fXfX19La3n5tvXcMPm7j+JY+uFfWPWDwwM0Oo+1dPq1/2helxAq+NVb5/b0cnxasdE/X3B2OOdv6/m7K9/X52Kq63TRLa3lX93Al+hOue/o5z+ofy7szTfBsys6T6jlI1WHhERXdJyMpB0pKQ37psHzgQeB9YC++4IWgqsKfNrgYvLXUULgD22twPrgTMlHV0uHJ9ZyiIiokvaOZbtAb5SXRbgEOCvbf8vSQ8Dd0q6BPgu8L7Sfh1wDjAIvAS8H8D2LknXAA+Xdh+3vauNuCIiokktJwPbTwPvGKH8eeCMEcoNXDrKulYBq1qNJSIi2pNvIEdERJJBREQkGUREBEkGERFBkkFERND+N5AjIg5Ks9r41nU7bl10ZEfWmyODiIhIMoiIiCSDiIggySAiIkgyiIgIkgwiIoIkg4iIIMkgIiJIMoiICJIMIiKCJIOIiCDJICIi2I+SgaRFkp6SNChpxUTHExFxMNkvkoGkScCngLOBOcAFkuZMbFQREQeP/SIZAKcAg7aftv0ToB9YPMExRUQcNGR7omNA0vnAItsfKMsXAafavmxYu+XA8rL4duCpFjd5LPCDFvt2UuJqTuJqTuJqzoEa1y/aPm544evqx21srwRWtrseSY/Y7h2HkMZV4mpO4mpO4mrOwRbX/nKaaBsws2Z5RimLiIgu2F+SwcPAbEnHSzoMWAKsneCYIiIOGvvFaSLbeyVdBqwHJgGrbG/p4CbbPtXUIYmrOYmrOYmrOQdVXPvFBeSIiJhY+8tpooiImEBJBhERcWAng3qPuJB0uKQ7Sv2DkmbtJ3Etk/SPkh4t0we6ENMqSTslPT5KvSTdVGJ+TNLJnY6pwbj6JO2pGav/2qW4Zkq6T9ITkrZI+sgIbbo+Zg3G1fUxk3SEpIckfbPE9ccjtOn667HBuLr+eqzZ9iRJ35B09wh14ztetg/IiepC9HeAXwIOA74JzBnW5sPAZ8v8EuCO/SSuZcAnuzxe/xY4GXh8lPpzgHsAAQuAB/eTuPqAuyfg72sacHKZfyPwf0f4f+z6mDUYV9fHrIzBlDJ/KPAgsGBYm4l4PTYSV9dfjzXb/gPgr0f6/xrv8TqQjwwaecTFYmB1mb8LOEOS9oO4us72/cCuMZosBm5zZSMwVdK0/SCuCWF7u+2vl/kfAk8C04c16/qYNRhX15UxGCqLh5Zp+N0rXX89NhjXhJA0AzgX+KtRmozreB3IyWA68GzN8nO89kXxsza29wJ7gDfvB3EB/IdyauEuSTNHqO+2RuOeCKeVw/x7JJ3Y7Y2Xw/N3Un2qrDWhYzZGXDABY1ZOeTwK7AQ22B51vLr4emwkLpiY1+OfA38E/HSU+nEdrwM5Gbye/S0wy/avABv4efaP1/o61bNW3gHcDPxNNzcuaQrwJeD3bb/YzW2PpU5cEzJmtl+1PY/qCQOnSDqpG9utp4G4uv56lPQeYKftTZ3e1j4HcjJo5BEXP2sj6RDgKOD5iY7L9vO2XymLfwXM73BMjdgvHxli+8V9h/m21wGHSjq2G9uWdCjVG+7ttr88QpMJGbN6cU3kmJVtvgDcBywaVjURr8e6cU3Q6/FdwG9I2kp1Kvl0SV8Y1mZcx+tATgaNPOJiLbC0zJ8PfM3lasxExjXsvPJvUJ33nWhrgYvLHTILgD22t090UJL+5b7zpJJOofqb7vgbSNnmLcCTtv9slGZdH7NG4pqIMZN0nKSpZX4y8G7gW8Oadf312EhcE/F6tH2l7Rm2Z1G9R3zN9m8Nazau47VfPI6iEzzKIy4kfRx4xPZaqhfN5yUNUl2kXLKfxPV7kn4D2FviWtbpuCR9keouk2MlPQdcRXUxDdufBdZR3R0zCLwEvL/TMTUY1/nA70raC7wMLOlCQofqk9tFwOZyvhngo8Bba2KbiDFrJK6JGLNpwGpVP2T1BuBO23dP9Ouxwbi6/nocTSfHK4+jiIiIA/o0UURENCjJICIikgwiIiLJICIiSDKIiAiSDCIigiSDiIgA/j/1GLS97ErUHAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JwEWtrSRphhw0DKpjuK2+vN0KeAfw5VbfAJzflle2ddr2s5Kk1W+vql9V1U+AIeCMdhuqqm1V9Wvg9tZWkjRDjuylUfvt/UHgDXR+i/8x8FxVjbQmO4FFbXkRsAOgqkaSPA+8ptW3dHXbvc+OA+pnjjGO1cBqgL6+PgYHB3sZ/u8YHh6e9L6HqzXLRkat9y0Ye9tUONzmeT6+NsbjfOwz1+eipzCoqt8ApyY5Fvgq8AfTOahxxrEOWAfQ399fAwMDk+pncHCQye57uLp07V2j1tcsG+HGrT29DCZl+8UD09b3dJiPr43xOB/7zPW5mNDVRFX1HHAv8IfAsUn2/hRZDOxqy7uAEwHa9mOAZ7rrB+wzVl2SNEN6uZrote2IgCQLgHcBj9EJhfe1ZquAO9vyxrZO2/6tqqpWv7BdbXQSsBT4LnA/sLRdnXQUnTeZN07Bc5Mk9aiX8wMnABva+wYvA+6oqq8leRS4PcnHgO8Dt7T2twCfTzIE7KHzw52qeiTJHcCjwAhwZTv9RJKrgE3AEcD6qnpkyp6hJOmgDhoGVfUw8JZR6tvoXAl0YP2XwPvH6Ot64PpR6ncDd/cwXknSNPATyJIkw0CSZBhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kSPYRBkhOT3Jvk0SSPJLm61Y9LsjnJ4+1+YasnyU1JhpI8nOS0rr5WtfaPJ1nVVT89yda2z01JMh1PVpI0ul6ODEaANVV1MrAcuDLJycBa4J6qWgrc09YBzgWWtttq4GbohAdwLXAmcAZw7d4AaW2u6NpvxUt/apKkXh00DKrqyar6Xlv+OfAYsAhYCWxozTYA57fllcBt1bEFODbJCcA5wOaq2lNVzwKbgRVt29FVtaWqCritqy9J0gw4ciKNkywB3gLcB/RV1ZNt01NAX1teBOzo2m1nq41X3zlKfbTHX03naIO+vj4GBwcnMvzfGh4envS+h6s1y0ZGrfctGHvbVDjc5nk+vjbG43zsM9fnoucwSPIq4CvAh6vqhe7T+lVVSWoaxrefqloHrAPo7++vgYGBSfUzODjIZPc9XF269q5R62uWjXDj1gn9TjAh2y8emLa+p8N8fG2Mx/nYZ67PRU9XEyV5OZ0g+EJV/V0rP91O8dDud7f6LuDErt0Xt9p49cWj1CVJM6SXq4kC3AI8VlUf79q0Edh7RdAq4M6u+iXtqqLlwPPtdNIm4OwkC9sbx2cDm9q2F5Isb491SVdfkqQZ0Mv5gbcBHwC2Jnmo1f4bcANwR5LLgSeAC9q2u4HzgCHgReAygKrak+Q64P7W7qNVtactfxC4FVgAfL3dJEkz5KBhUFXfAca67v+sUdoXcOUYfa0H1o9SfwA45WBjkSRNDz+BLEkyDCRJhoEkCcNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSSJHv4GsnS4WrL2rgnvs2bZCJdOYr9u229490vaX5oNHhlIkg4eBknWJ9md5AddteOSbE7yeLtf2OpJclOSoSQPJzmta59Vrf3jSVZ11U9PsrXtc1OSTPWTlCSNr5cjg1uBFQfU1gL3VNVS4J62DnAusLTdVgM3Qyc8gGuBM4EzgGv3Bkhrc0XXfgc+liRpmh00DKrq28CeA8orgQ1teQNwflf9turYAhyb5ATgHGBzVe2pqmeBzcCKtu3oqtpSVQXc1tWXJGmGTPYN5L6qerItPwX0teVFwI6udjtbbbz6zlHqo0qyms4RB319fQwODk5q8MPDw5Pe93C1ZtnIqPW+BWNvmwqzOc+TeV5TMR9z6bU1H/+vjGWuz8VLvpqoqipJTcVgenisdcA6gP7+/hoYGJhUP4ODg0x238PVWFfIrFk2wo1bp++isu0XD0xb3wczmauCpmI+ZvM5T7X5+H9lLHN9LiZ7NdHT7RQP7X53q+8CTuxqt7jVxqsvHqUuSZpBkw2DjcDeK4JWAXd21S9pVxUtB55vp5M2AWcnWdjeOD4b2NS2vZBkebuK6JKuviRJM+Sgx8NJvggMAMcn2UnnqqAbgDuSXA48AVzQmt8NnAcMAS8ClwFU1Z4k1wH3t3Yfraq9b0p/kM4VSwuAr7ebJGkGHTQMquqiMTadNUrbAq4co5/1wPpR6g8ApxxsHJKk6eMnkCVJhoEkyTCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShH8DWdNsMn+HWNLM88hAkmQYSJIMA0kShoEkCcNAkoRhIEnCMJAk4ecMpCk3W5+t2H7Du2flcTU3eGQgSfLIQJorpuOIZM2yES7toV+PSg5/HhlIkjwykPTSzcf3Sebacz5kjgySrEjyoyRDSdbO9ngkaT45JI4MkhwBfAZ4F7ATuD/Jxqp6dHZHJulQNpO/nff6/snh6pAIA+AMYKiqtgEkuR1YCUxLGGzd9fyc/keVpIlKVc32GEjyPmBFVf1JW/8AcGZVXXVAu9XA6rb6RuBHk3zI44GfTXLfuca52J/zsT/nY5+5MBevr6rXjrbhUDky6ElVrQPWvdR+kjxQVf1TMKTDnnOxP+djf87HPnN9Lg6VN5B3ASd2rS9uNUnSDDhUwuB+YGmSk5IcBVwIbJzlMUnSvHFInCaqqpEkVwGbgCOA9VX1yDQ+5Es+1TSHOBf7cz7253zsM6fn4pB4A1mSNLsOldNEkqRZZBhIkuZXGPiVF/skWZ9kd5IfzPZYDgVJTkxyb5JHkzyS5OrZHtNsSfKKJN9N8vdtLv58tsd0KEhyRJLvJ/nabI9lOsybMOj6yotzgZOBi5KcPLujmlW3AitmexCHkBFgTVWdDCwHrpzHr49fAe+oqjcDpwIrkiyf3SEdEq4GHpvtQUyXeRMGdH3lRVX9Gtj7lRfzUlV9G9gz2+M4VFTVk1X1vbb8czr/6RfN7qhmR3UMt9WXt9u8vtIkyWLg3cBfz/ZYpst8CoNFwI6u9Z3M0//sGl+SJcBbgPtmeSizpp0SeQjYDWyuqnk7F80ngY8A/zTL45g28ykMpINK8irgK8CHq+qF2R7PbKmq31TVqXS+DeCMJKfM8pBmTZL3ALur6sHZHst0mk9h4FdeaFxJXk4nCL5QVX832+M5FFTVc8C9zO/3l94GvDfJdjqnl9+R5G9md0hTbz6FgV95oTElCXAL8FhVfXy2xzObkrw2ybFteQGdvzPyw1kd1CyqqmuqanFVLaHzc+NbVfXvZ3lYU27ehEFVjQB7v/LiMeCOaf7Ki0Naki8C/wd4Y5KdSS6f7THNsrcBH6DzW99D7XbebA9qlpwA3JvkYTq/RG2uqjl5OaX28esoJEnz58hAkjQ2w0CSZBhIkgwDSRKGgSQJw0CShGEgSQL+P1pxcvKdhqc/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Zj/nOWkw0TPU41KeJHmmXeGg/H23tu4GVXf1WtLYDta+Yol2S1EeHGgbbgP1PBG0ArutqP689VXQq8ES7nHQj8LokR7Ybx68DbmzLnkxyanuK6LyubUmS+mTGy0RJPg2MAsck2UXnqaDLgGuSXAA8CLy5db8BOAsYB34AvB2gqvYkeT9wR+v3vqraf1P6t+k8sfQC4AvtJUnqoxnDoKreMs2i06foW8CF02znSuDKKdrvBF4x0zgkSXPHTyBLkgwDSZJhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kShoEkCcNAkoRhIEnCMJAkYRhIkjAMJEnA0kEPQJIWolWbrh/Ifh+47PVzsl3PDCRJhoEkyctEfTWo00qYu1NLSYuDZwaSJMNAkmQYSJKYR/cMkqwDPgwsAT5WVZcNeEjSgjIb96QuPnEf5x/CdrwntfDNizBIsgS4AngtsAu4I8m2qrp3sCNbPLr/oTjUX3hJi9e8CAPgZGC8qu4HSHI1sB4wDHTIev1LebbD0b+StRClqgY9BpK8CVhXVe9o828DTqmqiyb12whsbLM/D3yjx10cA3x3loa7GFiPiazHs6zFRIutHj9TVcdOtWC+nBn0pKo2A5sPdr0kd1bV2jkY0oJkPSayHs+yFhMNUz3my9NEu4GVXfMrWpskqQ/mSxjcAaxOcnySZcA5wLYBj0mShsa8uExUVfuSXATcSOfR0iuravss7uKgLy0tctZjIuvxLGsx0dDUY17cQJYkDdZ8uUwkSRogw0CStPjDIMm6JN9IMp5k06DH009JVia5Ncm9SbYneVdrPyrJTUnuaz+PHPRY+ynJkiR3J/l8mz8+ye3tGPlMe4hhKCQ5Ism1Sf4lyY4krx7W4yPJ77Xfk39O8ukkzx+mY2NRh0HX11ycCawB3pJkzWBH1Vf7gIurag1wKnBhe/+bgJurajVwc5sfJu8CdnTNfxC4vKpOAB4DLhjIqAbjw8D/rqqXAb9Ipy5Dd3wkWQ78DrC2ql5B50GWcxiiY2NRhwFdX3NRVc8A+7/mYihU1UNV9bU2/X06v+jL6dRga+u2FTh7IAMcgCQrgNcDH2vzAU4Drm1dhqYeSQ4HfgXYAlBVz1TV4wzv8bEUeEGSpcALgYcYomNjsYfBcmBn1/yu1jZ0kqwCTgJuB0aq6qG26GFgZFDjGoAPAX8I/FubPxp4vKr2tflhOkaOB74DXNUum30syWEM4fFRVbuB/wl8m04IPAHcxRAdG4s9DAQkeRHw18DvVtWT3cuq82zxUDxfnOQNwKNVddegxzJPLAVeBXy0qk4CnmLSJaFhOT7afZH1dALyp4DDgHUDHVSfLfYwGPqvuUjyPDpB8Kmq+mxrfiTJcW35ccCjgxpfn70G+PUkD9C5ZHganWvmR7RLAzBcx8guYFdV3d7mr6UTDsN4fPwq8K2q+k5V/Qj4LJ3jZWiOjcUeBkP9NRftevgWYEdV/UnXom3Ahja9Abiu32MbhKp6d1WtqKpVdI6FW6rqXOBW4E2t2zDV42FgZ5Kfb02n0/na+GE8Pr4NnJrkhe33Zn8thubYWPSfQE5yFp3rxPu/5uLSwY6of5L8F+CLwNd59hr5e+jcN7gG+GngQeDNVbVnIIMckCSjwO9X1RuS/CydM4WjgLuBt1bV0wMcXt8keSWdm+nLgPuBt9P5I3Hojo8k7wX+K52n8O4G3kHnHsFQHBuLPgwkSTNb7JeJJEk9MAwkSYaBJMkwkCRhGEiSMAwkSRgGkiTg/wHZlGHzmWX8EAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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/c7V7/dD+x9CK9dfzjvgZ4EuSpgMHAYcBNwOjJY3Ms4PxwObsvxmYAGySNBI4HHit1N6jvE9f7WZm1gADXjOIiKsiYnxETKS4APxQRFwIPAycl91mA0tzeVmuk9sfiojI9pl5t9EkYDLwOLAKmJx3Jx2Qz7FsWI7OzMzqsidzJV8FFku6DvgpcGe23wl8T1IXsI3izZ2IWCtpCfAcsBO4LCLeA5B0ObAcGAEsiIi1e1CXmZkN0qDCICKqQDWXX6K4E6h3n7eB3+1j/+uB62u03w/cP5hazMxs+PgTyGZm5jAwMzOHgZmZ4TAwMzMcBmZmhsPAzMxwGJiZGQ4DMzPDYWBmZjgMzMwMh4GZmeEwMDMzHAZmZobDwMzMcBiYmRkOAzMzw2FgZmY4DMzMDIeBmZnhMDAzMxwGZmZGHWEg6SBJj0t6WtJaSd/I9kmSHpPUJekeSQdk+4G53pXbJ5bGuirbX5B0Vql9WrZ1SZq3F47TzMz6Uc+ZwTvA5yPiU8DJwDRJU4BvAjdFxLHAdmBO9p8DbM/2m7Ifko4HZgInANOA70gaIWkE8G3gbOB44ILsa2ZmDTJgGEShO1f3z0cAnwfuzfaFwLm5PCPXye1nSlK2L46IdyLi50AXcHo+uiLipYh4F1icfc3MrEHqumaQf8E/BWwFVgA/A16PiJ3ZZRMwLpfHARsBcvsO4Mhye699+mo3M7MGGVlPp4h4DzhZ0mjgPuATe7OovkiaC8wFqFQqVKvVIY1TGQVXnrRz4I7DbKj19tbd3T1sYzWD62+udq8f2v8YWrH+usKgR0S8Lulh4NPAaEkj86//8cDm7LYZmABskjQSOBx4rdTeo7xPX+29n38+MB+go6MjOjs7B1P++269eyk3rhnUoQ+LDRd2Dss41WqVoR57K3D9zdXu9UP7H0Mr1l/P3URH5xkBkkYBXwDWAQ8D52W32cDSXF6W6+T2hyIisn1m3m00CZgMPA6sAibn3UkHUFxkXjYMx2ZmZnWq58/jscDCvOtnP2BJRPxQ0nPAYknXAT8F7sz+dwLfk9QFbKN4cyci1kpaAjwH7AQuy+knJF0OLAdGAAsiYu2wHaGZmQ1owDCIiGeAU2q0v0RxJ1Dv9reB3+1jrOuB62u03w/cX0e9Zma2F/gTyGZm5jAwMzOHgZmZ4TAwMzMcBmZmhsPAzMxwGJiZGQ4DMzPDYWBmZjgMzMwMh4GZmeEwMDMzHAZmZobDwMzMcBiYmRkOAzMzw2FgZmY4DMzMDIeBmZnhMDAzMxwGZmaGw8DMzKgjDCRNkPSwpOckrZV0RbYfIWmFpPX5c0y2S9ItkrokPSPp1NJYs7P/ekmzS+2nSVqT+9wiSXvjYM3MrLZ6zgx2AldGxPHAFOAySccD84AHI2Iy8GCuA5wNTM7HXOA2KMIDuBo4AzgduLonQLLPJaX9pu35oZmZWb0GDIOI2BIRT+byr4B1wDhgBrAwuy0Ezs3lGcCiKKwERksaC5wFrIiIbRGxHVgBTMtth0XEyogIYFFpLDMza4CRg+ksaSJwCvAYUImILbnpFaCSy+OAjaXdNmVbf+2barTXev65FGcbVCoVqtXqYMp/X2UUXHnSziHtuyeGWm9v3d3dwzZWM7j+5mr3+qH9j6EV6687DCQdAvwl8JWIeKM8rR8RISn2Qn27iYj5wHyAjo6O6OzsHNI4t969lBvXDCoHh8WGCzuHZZxqtcpQj70VuP7mavf6of2PoRXrr+tuIkn7UwTB3RHxV9n8ak7xkD+3ZvtmYEJp9/HZ1l/7+BrtZmbWIPXcTSTgTmBdRHyrtGkZ0HNH0Gxgaal9Vt5VNAXYkdNJy4GpksbkheOpwPLc9oakKflcs0pjmZlZA9QzV/IZ4PeANZKeyrb/BtwALJE0B3gZOD+33Q9MB7qAt4CLASJim6RrgVXZ75qI2JbLlwJ3AaOAB/JhZmYNMmAYRMSjQF/3/Z9Zo38Al/Ux1gJgQY321cCJA9ViZmZ7hz+BbGZmDgMzM3MYmJkZDgMzM8NhYGZmOAzMzAyHgZmZ4TAwMzMcBmZmhsPAzMxwGJiZGQ4DMzPDYWBmZjgMzMwMh4GZmeEwMDMzHAZmZobDwMzMcBiYmRkOAzMzw2FgZmY4DMzMjDrCQNICSVslPVtqO0LSCknr8+eYbJekWyR1SXpG0qmlfWZn//WSZpfaT5O0Jve5RZKG+yDNzKx/9ZwZ3AVM69U2D3gwIiYDD+Y6wNnA5HzMBW6DIjyAq4EzgNOBq3sCJPtcUtqv93OZmdleNmAYRMRPgG29mmcAC3N5IXBuqX1RFFYCoyWNBc4CVkTEtojYDqwApuW2wyJiZUQEsKg0lpmZNcjIIe5XiYgtufwKUMnlccDGUr9N2dZf+6Ya7TVJmktxxkGlUqFarQ6t+FFw5Uk7h7Tvnhhqvb11d3cP21jN4Pqbq93rh/Y/hlasf6hh8L6ICEkxHMXU8VzzgfkAHR0d0dnZOaRxbr17KTeu2eNDH7w1bw7LMFee9B43Pjq4sTbccM6wPPdwqFarDPW1awWuv/na/Rhasf6h3k30ak7xkD+3ZvtmYEKp3/hs6699fI12MzNroKGGwTKg546g2cDSUvusvKtoCrAjp5OWA1MljckLx1OB5bntDUlT8i6iWaWxzMysQQacK5H0A6ATOErSJoq7gm4AlkiaA7wMnJ/d7wemA13AW8DFABGxTdK1wKrsd01E9FyUvpTijqVRwAP5MDOzBhowDCLigj42nVmjbwCX9THOAmBBjfbVwIkD1WFmZnuPP4FsZmYOAzMzcxiYmRkOAzMzw2FgZmY4DMzMDIeBmZnhMDAzMxwGZmbGMHxrqbWHifP+pinP20rflmpmffOZgZmZOQzMzMxhYGZmOAzMzAxfQLa9rNaF6ytP2slFDbig7YvXZvXzmYGZmTkMzMzMYWBmZviagX2I7a0P2g10zcPXKqwd+czAzMx8ZmA23PzVH9aOHAZmHxL1htDeuLV3XwyiPQn9PXkN9tbvumWmiSRNk/SCpC5J85pdj5nZvqQlzgwkjQC+DXwB2ASskrQsIp5rbmVmVo9GT4016oOL+5JWOTM4HeiKiJci4l1gMTCjyTWZme0zFBHNrgFJ5wHTIuL3c/33gDMi4vJe/eYCc3P1OOCFIT7lUcAvh7hvK3D9zeX6m6/dj6FZ9X8sIo6utaElponqFRHzgfl7Oo6k1RHRMQwlNYXrby7X33ztfgytWH+rTBNtBiaU1sdnm5mZNUCrhMEqYLKkSZIOAGYCy5pck5nZPqMlpokiYqeky4HlwAhgQUSs3YtPucdTTU3m+pvL9Tdfux9Dy9XfEheQzcysuVplmsjMzJrIYWBmZvtWGLTjV15I2iBpjaSnJK3OtiMkrZC0Pn+OaXadZZIWSNoq6dlSW82aVbglX5NnJJ3avMrfr7VW/V+XtDlfh6ckTS9tuyrrf0HSWc2pehdJEyQ9LOk5SWslXZHtbfEa9FN/W7wGkg6S9Likp7P+b2T7JEmPZZ335M0ySDow17ty+8SmFB4R+8SD4sL0z4BjgAOAp4Hjm11XHXVvAI7q1fa/gHm5PA/4ZrPr7FXf54BTgWcHqhmYDjwACJgCPNai9X8d+MMafY/Pf0sHApPy39iIJtc/Fjg1lw8FXsw62+I16Kf+tngN8vd4SC7vDzyWv9clwMxsvx34g1y+FLg9l2cC9zSj7n3pzODD9JUXM4CFubwQOLd5pXxQRPwE2Narua+aZwCLorASGC1pbEMK7UMf9fdlBrA4It6JiJ8DXRT/1pomIrZExJO5/CtgHTCONnkN+qm/Ly31GuTvsTtX989HAJ8H7s323r//ntflXuBMSWpMtbvsS2EwDthYWt9E///AWkUAP5b0RH4dB0AlIrbk8itApTmlDUpfNbfT63J5TqMsKE3NtXT9OeVwCsVfp233GvSqH9rkNZA0QtJTwFZgBcXZyusRsTO7lGt8v/7cvgM4sqEFs2+FQbv6bEScCpwNXCbpc+WNUZxbttX9we1YM3Ab8HHgZGALcGNTq6mDpEOAvwS+EhFvlLe1w2tQo/62eQ0i4r2IOJni2xROBz7R3IoGti+FQVt+5UVEbM6fW4H7KP5hvdpzGp8/tzavwrr1VXNbvC4R8Wr+B/7PwHfZNQ3RkvVL2p/ijfTuiPirbG6b16BW/e32GgBExOvAw8CnKabfej7oW67x/fpz++HAa42tdN8Kg7b7ygtJB0s6tGcZmAo8S1H37Ow2G1janAoHpa+alwGz8o6WKcCO0lRGy+g1h/5vKV4HKOqfmXeETAImA483ur6ynG++E1gXEd8qbWqL16Cv+tvlNZB0tKTRuTyK4v/Tso4iFM7Lbr1//z2vy3nAQ3nm1ljNuuLejAfFXRMvUszffa3Z9dRR7zEUd0k8DaztqZliPvFBYD3wt8ARza61V90/oDiN/yeKudE5fdVMcefFt/M1WQN0tGj938v6nqH4j3dsqf/Xsv4XgLNboP7PUkwBPQM8lY/p7fIa9FN/W7wGwCeBn2adzwJ/nO3HUIRUF/AXwIHZflCud+X2Y5pRt7+OwszM9qlpIjMz64PDwMzMHAZmZuYwMDMzHAZmZobDwMzMcBiYmRnw/wEMsfB5DvKxHwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for col in num_data.columns:\n",
    "    data.hist(column=col)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "molecular-framing",
   "metadata": {},
   "source": [
    "# Save data as CSV file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "efficient-designation",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv(\"input_tensor.csv\", index=False, mode='w+')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dress-grant",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}