sm-eda-listings.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0. Load Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Obtain data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "listings_df = pd.read_csv(\"../data/raw/listings.csv\")\n",
    "reviews_df = pd.read_csv(\"../data/interim/final_ratings.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2717: DtypeWarning: Columns (43,61,62,94,95) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "listing_second_df = pd.read_csv(\"../data/raw/listings2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>listing_id</th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>reviewer_id</th>\n",
       "      <th>reviewer_name</th>\n",
       "      <th>comments</th>\n",
       "      <th>lang</th>\n",
       "      <th>polarity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2539</td>\n",
       "      <td>55688172</td>\n",
       "      <td>2015-12-04</td>\n",
       "      <td>25160947</td>\n",
       "      <td>Peter</td>\n",
       "      <td>Great host</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>0.6249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2539</td>\n",
       "      <td>97474898</td>\n",
       "      <td>2016-08-27</td>\n",
       "      <td>91513326</td>\n",
       "      <td>Liz</td>\n",
       "      <td>Nice room for the price. Great neighborhood. J...</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>0.9228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2539</td>\n",
       "      <td>105340344</td>\n",
       "      <td>2016-10-01</td>\n",
       "      <td>90022459</td>\n",
       "      <td>Евгений</td>\n",
       "      <td>Very nice apt.  New remodeled.</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>0.4754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2539</td>\n",
       "      <td>133131670</td>\n",
       "      <td>2017-02-20</td>\n",
       "      <td>116165195</td>\n",
       "      <td>George</td>\n",
       "      <td>Great place to stay for a while. John is a gre...</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>0.9231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2539</td>\n",
       "      <td>157777930</td>\n",
       "      <td>2017-06-04</td>\n",
       "      <td>1806142</td>\n",
       "      <td>Isaac</td>\n",
       "      <td>I really enjoyed my time here in deep south Br...</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>0.9881</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   listing_id         id        date  reviewer_id reviewer_name  \\\n",
       "0        2539   55688172  2015-12-04     25160947         Peter   \n",
       "1        2539   97474898  2016-08-27     91513326           Liz   \n",
       "2        2539  105340344  2016-10-01     90022459       Евгений   \n",
       "3        2539  133131670  2017-02-20    116165195        George   \n",
       "4        2539  157777930  2017-06-04      1806142         Isaac   \n",
       "\n",
       "                                            comments     lang  polarity  \n",
       "0                                         Great host  ENGLISH    0.6249  \n",
       "1  Nice room for the price. Great neighborhood. J...  ENGLISH    0.9228  \n",
       "2                     Very nice apt.  New remodeled.  ENGLISH    0.4754  \n",
       "3  Great place to stay for a while. John is a gre...  ENGLISH    0.9231  \n",
       "4  I really enjoyed my time here in deep south Br...  ENGLISH    0.9881  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'name', 'host_id', 'host_name', 'neighbourhood_group',\n",
       "       'neighbourhood', 'latitude', 'longitude', 'room_type', 'price',\n",
       "       'minimum_nights', 'number_of_reviews', 'last_review',\n",
       "       'reviews_per_month', 'calculated_host_listings_count',\n",
       "       'availability_365'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "## 2. Feature Engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trimming listing_second to usefull rows only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = listing_second_df.loc[:,['id','description', \n",
    "    'host_response_time', 'host_response_rate', 'host_acceptance_rate', 'host_is_superhost', \n",
    "    'neighbourhood_group_cleansed', 'accommodates', 'bathrooms', 'bedrooms', 'beds', \n",
    "    'amenities', 'price', 'minimum_nights','instant_bookable', 'cancellation_policy', \n",
    "    'review_scores_rating', 'review_scores_accuracy',\n",
    "    'review_scores_cleanliness', 'review_scores_checkin', 'review_scores_communication',\n",
    "    'review_scores_location', 'review_scores_value','host_identity_verified']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Merging with Polarity DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df_ld.merge(reviews_df[['listing_id','reviewer_id','polarity']],left_on='id',right_on='listing_id',how='right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = X.drop(['id'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "del(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.Instant Bookable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "f    608907\n",
       "t    444265\n",
       "Name: instant_bookable, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld['instant_bookable'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Changing this field to binary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['instant_bookable'].replace('t',1, inplace=True)\n",
    "df_ld['instant_bookable'].replace('f',0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Reviews per month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10488"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings_df['reviews_per_month'].isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will impute these values with the mean."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    39260.000000\n",
       "mean         1.300503\n",
       "std          1.563485\n",
       "min          0.010000\n",
       "25%          0.207500\n",
       "50%          0.670000\n",
       "75%          1.910000\n",
       "max         19.360000\n",
       "Name: reviews_per_month, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings_df['reviews_per_month'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_reviews_per_month = listings_df['reviews_per_month'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "listings_df['reviews_per_month'] = listings_df['reviews_per_month'].fillna(mean_reviews_per_month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['reviews_per_month'] = listings_df['reviews_per_month'] "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Room type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Private room', 'Entire home/apt', 'Shared room'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings_df['room_type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['room_type'] = listings_df['room_type']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['room_type'] = df_ld['room_type'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test = pd.get_dummies(df_ld['room_type'],prefix='room_type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = pd.concat((df_ld, df_test), axis=1).drop(['room_type'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Availability 365"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mean Centering Availability 365"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_availability_365 = listings_df['availability_365'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "std_availability_365 = listings_df['availability_365'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        1.835879\n",
       "1        1.835879\n",
       "2        0.734517\n",
       "3        1.835879\n",
       "4        0.340111\n",
       "5       -0.791017\n",
       "6       -0.746367\n",
       "7       -0.880317\n",
       "8        0.295461\n",
       "9       -0.880317\n",
       "10       1.835879\n",
       "11       0.756842\n",
       "12      -0.560327\n",
       "13       1.307523\n",
       "14      -0.857992\n",
       "15       1.307523\n",
       "16       1.776346\n",
       "17       0.161512\n",
       "18       0.481502\n",
       "19       1.389381\n",
       "20       1.835879\n",
       "21       1.501005\n",
       "22      -0.880317\n",
       "23      -0.783576\n",
       "24      -0.880317\n",
       "25       0.712193\n",
       "26       1.709371\n",
       "27       1.218223\n",
       "28      -0.850550\n",
       "29       0.652659\n",
       "           ...   \n",
       "49718    1.828437\n",
       "49719    0.057329\n",
       "49720    0.109420\n",
       "49721   -0.850550\n",
       "49722   -0.098945\n",
       "49723    0.451735\n",
       "49724    1.835879\n",
       "49725   -0.880317\n",
       "49726   -0.731484\n",
       "49727   -0.500793\n",
       "49728    0.414527\n",
       "49729   -0.857992\n",
       "49730   -0.776134\n",
       "49731   -0.843109\n",
       "49732    1.835879\n",
       "49733   -0.500793\n",
       "49734   -0.478469\n",
       "49735   -0.716601\n",
       "49736   -0.344519\n",
       "49737    0.027562\n",
       "49738    1.835879\n",
       "49739    1.754021\n",
       "49740    1.300081\n",
       "49741    1.657280\n",
       "49742    0.407086\n",
       "49743    0.414527\n",
       "49744    1.694488\n",
       "49745   -0.292428\n",
       "49746   -0.106387\n",
       "49747   -0.530560\n",
       "Name: availability_365, Length: 49748, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings_df['availability_365'].subtract(mean_availability_365)/std_availability_365"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['availability_365'] = listings_df['availability_365'].subtract(mean_availability_365)/std_availability_365"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. Minimum Nights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "listings_df['minimum_nights'] = pd.qcut(listings_df['minimum_nights'], 10, duplicates='drop' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['minimum_nights'] = listings_df['minimum_nights']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mpgJQWlrKokWLcDgcXHLJJTz00EOYzfWWJSIiPlTvnkNSUhKzZs0yTB8zZgzz589n/vz5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\nKBxERMRA4SAiIgb/HyOVRXebffSpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "plt.style.use('ggplot')\n",
    "\n",
    "a = listings_df.groupby('minimum_nights').size()\n",
    "\n",
    "categories = listings_df['minimum_nights'].cat.categories\n",
    "ind = np.array([x for x, _ in enumerate(categories)])\n",
    "width = 0.35       \n",
    "plt.bar(ind, a, width, label='minimum_nights')\n",
    "\n",
    "plt.xticks(ind + width / 2, categories)\n",
    "plt.legend(loc='best')\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['minimum_nights'] = df_ld['minimum_nights'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test = pd.get_dummies(df_ld['minimum_nights'],prefix='minimum_nights')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = pd.concat((df_ld, df_test), axis=1).drop(['minimum_nights'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. Price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    49748.000000\n",
       "mean       150.931796\n",
       "std        225.025933\n",
       "min          0.000000\n",
       "25%         69.000000\n",
       "50%        107.000000\n",
       "75%        175.000000\n",
       "max      10000.000000\n",
       "Name: price, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings_df['price'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "listings_df['price'] = pd.qcut(listings_df['price'], 10, duplicates='drop' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['price'] = listings_df['price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['price'] = df_ld['price'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = pd.concat((df_ld, pd.get_dummies(df_ld['price'],prefix='price')), axis=1).drop(['price'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. Calculated Host Listings Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1      32254\n",
       "2       7092\n",
       "3       2898\n",
       "4       1528\n",
       "5        905\n",
       "6        612\n",
       "7        378\n",
       "8        368\n",
       "12       228\n",
       "11       220\n",
       "101      202\n",
       "9        198\n",
       "192      192\n",
       "10       180\n",
       "175      175\n",
       "14       154\n",
       "137      137\n",
       "21       126\n",
       "18       108\n",
       "52       104\n",
       "50       100\n",
       "96        96\n",
       "90        90\n",
       "86        86\n",
       "28        84\n",
       "84        84\n",
       "82        82\n",
       "39        78\n",
       "77        77\n",
       "35        70\n",
       "34        68\n",
       "13        65\n",
       "60        60\n",
       "15        60\n",
       "29        58\n",
       "54        54\n",
       "17        51\n",
       "49        49\n",
       "16        48\n",
       "43        43\n",
       "33        33\n",
       "32        32\n",
       "31        31\n",
       "30        30\n",
       "27        27\n",
       "25        25\n",
       "24        24\n",
       "23        23\n",
       "22        22\n",
       "20        20\n",
       "19        19\n",
       "Name: calculated_host_listings_count, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listings_df['calculated_host_listings_count'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "#listings_df['calculated_host_listings_count'] = preprocessing.normalize([listings_df['calculated_host_listings_count']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9. Is super host or not?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "f    624597\n",
       "t    428559\n",
       "Name: host_is_superhost, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_is_superhost.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "changing this field to binary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld.host_is_superhost.replace('t',1, inplace=True)\n",
    "df_ld.host_is_superhost.replace('f',0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_is_superhost.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = df_ld[df_ld['host_is_superhost'].isnull() == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.4860331163775283"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_is_superhost.corr(df_ld.review_scores_rating)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 10. Is the host verified?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "t    641937\n",
       "f    411219\n",
       "Name: host_identity_verified, dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_identity_verified.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "changing this field to binary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld.host_identity_verified.replace('t',1, inplace=True)\n",
    "df_ld.host_identity_verified.replace('f',0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 11. Cancellation Policy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "strict_14_with_grace_period    636982\n",
       "moderate                       296451\n",
       "flexible                       119203\n",
       "super_strict_30                   257\n",
       "super_strict_60                   200\n",
       "strict                             63\n",
       "Name: cancellation_policy, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.cancellation_policy.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['cancellation_policy'] = df_ld['cancellation_policy'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = pd.concat((df_ld, pd.get_dummies(df_ld['cancellation_policy'],prefix='cancellation_policy')), axis=1).drop(['cancellation_policy'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 12. Does host respond on time?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "within an hour        704072\n",
       "within a few hours    163213\n",
       "within a day           80239\n",
       "a few days or more     10938\n",
       "Name: host_response_time, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_response_time.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "94694"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_response_time.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Imputing missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['host_response_time'].fillna(method='ffill', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "within an hour        756196\n",
       "within a few hours    186168\n",
       "within a day           96648\n",
       "a few days or more     14144\n",
       "Name: host_response_time, dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_response_time.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Converting this into integer data type as it has an order to it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['host_response_time'].replace('within an hour', 1, inplace=True)\n",
    "df_ld['host_response_time'].replace('within a few hours', 2, inplace=True)\n",
    "df_ld['host_response_time'].replace('within a day', 3, inplace=True)\n",
    "df_ld['host_response_time'].replace('a few days or more', 4, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 13. Review Scores Rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n",
      "42\n",
      "34\n",
      "74\n",
      "68\n"
     ]
    }
   ],
   "source": [
    "print(df_ld.review_scores_rating.isna().sum())\n",
    "print(df_ld.review_scores_communication.isna().sum())\n",
    "print(df_ld.review_scores_cleanliness.isna().sum())\n",
    "print(df_ld.review_scores_location.isna().sum())\n",
    "print(df_ld.review_scores_checkin.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = df_ld[df_ld['review_scores_rating'].isnull() == 0]\n",
    "df_ld = df_ld[df_ld['review_scores_communication'].isnull() == 0]\n",
    "df_ld = df_ld[df_ld['review_scores_cleanliness'].isnull() == 0]\n",
    "df_ld = df_ld[df_ld['review_scores_location'].isnull() == 0]\n",
    "df_ld = df_ld[df_ld['review_scores_checkin'].isnull() == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5865628799281731\n",
      "0.7086475070755279\n",
      "0.33188623683904017\n",
      "0.53213321679505\n"
     ]
    }
   ],
   "source": [
    "print(df_ld.review_scores_communication.corr(df_ld.review_scores_rating))\n",
    "print(df_ld.review_scores_cleanliness.corr(df_ld.review_scores_rating))\n",
    "print(df_ld.review_scores_location.corr(df_ld.review_scores_rating))\n",
    "print(df_ld.review_scores_checkin.corr(df_ld.review_scores_rating))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cleanliness is one of the highest important factors and location the least."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 14. Ameneties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How many amenities are present?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld.loc[:,'amenities_len'] = df_ld['amenities'].str.len()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = df_ld.drop(['amenities'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.20186814375171921"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.amenities_len.corr(df_ld.review_scores_rating)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 50)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.sample(frac=0.000001,random_state=42).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vyzp+8IpJAEBf/6hWGjRNpTYoLQAvMq+dycgMemoDX0Xq5yVnX17upz8UX5Ub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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.style.use('ggplot')\n",
    "plt.scatter('review_scores_rating','amenities_len',\n",
    "            data=df_ld.sample(frac=0.3,random_state=42))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Number of amenities do not matter, quality of amenities matter."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 15. Description length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld.loc[:,'description_len'] = df_ld['description'].str.len()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = df_ld.drop(['description'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NjUVDQwMmTZqE6dOn46OPPsLs2bNx+PBhzJgxAwBw22234fDhw5gyZQo++ugjTJ8+nbkC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\nSUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.style.use('ggplot')\n",
    "plt.scatter('review_scores_rating','description_len',data=df_ld.sample(frac=0.1,random_state=34))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 16. Neighbourhood Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld.neighbourhood_group_cleansed = df_ld[~df_ld.neighbourhood_group_cleansed.isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['neighbourhood_group_cleansed'] = df_ld['neighbourhood_group_cleansed'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld = pd.concat((df_ld, pd.get_dummies(df_ld['neighbourhood_group_cleansed'],prefix='neighbourhood_group_cleansed')), axis=1).drop(['neighbourhood_group_cleansed'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "# Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a306c51d0>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CQjh+/Dgff/wxQ4YMoU+fPtX2RQghhBBCCCHuF3L3E1FvFBUVYW9vT4MGDbh4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XV1dSxfvvx1V4lAIBAIBAKBQCAQCN0QYtToYhwdHelMJm86ycnJOHv2rNQxa2trLFmyBCEh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\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RoAqF4pFuCdRfANnZ2eHmzZtwdHREVVWVYB2J0ECaEELazTBhwgT4+voyPhdvvfVWqwUo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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16,10))\n",
    "corr = df_ld.corr()\n",
    "corr = (corr)\n",
    "sns.heatmap(corr, \n",
    "            xticklabels=corr.columns.values,\n",
    "            yticklabels=corr.columns.values, linewidths=.5, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "review_scores_rating                               1.000000\n",
       "review_scores_accuracy                             0.717549\n",
       "review_scores_cleanliness                          0.708648\n",
       "review_scores_value                                0.696884\n",
       "review_scores_communication                        0.586563\n",
       "review_scores_checkin                              0.532133\n",
       "host_is_superhost                                  0.486409\n",
       "review_scores_location                             0.331886\n",
       "polarity                                           0.210365\n",
       "amenities_len                                      0.201868\n",
       "host_identity_verified                             0.086962\n",
       "description_len                                    0.086278\n",
       "cancellation_policy_moderate                       0.078829\n",
       "listing_id                                         0.051550\n",
       "neighbourhood_group_cleansed_2                     0.020550\n",
       "cancellation_policy_super_strict_30                0.011210\n",
       "cancellation_policy_flexible                       0.010979\n",
       "reviews_per_month                                  0.007231\n",
       "neighbourhood_group_cleansed_3                     0.004215\n",
       "host_response_time                                 0.002855\n",
       "room_type_Shared room                             -0.003227\n",
       "cancellation_policy_super_strict_60               -0.003426\n",
       "cancellation_policy_strict                        -0.005217\n",
       "price_(-0.001, 49.0]                              -0.007461\n",
       "price_(75.0, 90.0]                                -0.007754\n",
       "price_(49.0, 60.0]                                -0.007985\n",
       "minimum_nights_(6.0, 29.0]                        -0.008011\n",
       "price_(130.0, 155.0]                              -0.008176\n",
       "minimum_nights_(3.0, 4.0]                         -0.008248\n",
       "minimum_nights_(4.0, 6.0]                         -0.008434\n",
       "price_(90.0, 107.0]                               -0.009081\n",
       "price_(60.0, 75.0]                                -0.009396\n",
       "minimum_nights_(29.0, 1250.0]                     -0.009790\n",
       "price_(266.0, 10000.0]                            -0.009844\n",
       "price_(107.0, 130.0]                              -0.009896\n",
       "price_(155.0, 199.0]                              -0.010044\n",
       "availability_365                                  -0.010181\n",
       "price_(199.0, 266.0]                              -0.011284\n",
       "minimum_nights_(2.0, 3.0]                         -0.012489\n",
       "neighbourhood_group_cleansed_1                    -0.014018\n",
       "bedrooms                                          -0.017853\n",
       "room_type_Private room                            -0.017955\n",
       "minimum_nights_(0.999, 2.0]                       -0.019572\n",
       "room_type_Entire home/apt                         -0.022710\n",
       "reviewer_id                                       -0.023027\n",
       "neighbourhood_group_cleansed_4                    -0.023883\n",
       "bathrooms                                         -0.027060\n",
       "beds                                              -0.054210\n",
       "accommodates                                      -0.059924\n",
       "cancellation_policy_strict_14_with_grace_period   -0.079809\n",
       "instant_bookable                                  -0.126555\n",
       "host_acceptance_rate                                    NaN\n",
       "Name: review_scores_rating, dtype: float64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr['review_scores_rating'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": false
   },
   "source": [
    "## Ratings vs. Host Response Rate by Super Host"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld.host_response_rate = df_ld.host_response_rate.replace('%','',regex=True)\n",
    "df_ld.host_response_rate = df_ld.host_response_rate.astype('float64')/100.00"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "94620"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ld.host_response_rate.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ld['host_response_rate'].fillna(method='ffill', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a35114908>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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C0IryUdqSzsGUWykqIbJyWUqYTONILmkD1Bt5rQeSdvVfGG9kbbBf8lj4gik6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liL0mXHwWrvajxfMZZt7EQcZyJvLShgqCaZjzlZv6jy5RZkh8hYpc+jjB1hYXbifFRb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7rkULIyIiaimyzQ6EgoDVVv9CoVD1chTRmvrWYMDZuHEjAGDz5s2RabwHh4iIWjPLNb0QKDgM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\nDgMOERERmc7/BwaMS7XtC8+AAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "g = sns.lmplot(x=\"host_response_rate\", y=\"review_scores_rating\", data=df_ld.sample(frac=0.1, random_state=42), fit_reg=False,\n",
    "           hue='host_is_superhost', legend=False,\n",
    "           scatter_kws={\"alpha\":0.3,\"s\":100}, height=8)\n",
    "\n",
    "g =  (g.set_axis_labels(\"Host Response Rate\",\"Ratings from Review\"))\n",
    "\n",
    "plt.title(\"Do host receive better ratings?\")\n",
    "plt.legend(loc='lower right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribution of Airbnb Reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of neighborhoods in data: 5\n"
     ]
    }
   ],
   "source": [
    "print('Number of neighborhoods in data:',listing_second_df['neighbourhood_group_cleansed'].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "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_group_cleansed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>22559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>20312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>5525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bronx</th>\n",
       "      <td>1001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>351</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               neighbourhood_group_cleansed\n",
       "Manhattan                             22559\n",
       "Brooklyn                              20312\n",
       "Queens                                 5525\n",
       "Bronx                                  1001\n",
       "Staten Island                           351"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "listing_second_df['neighbourhood_group_cleansed'].value_counts().to_frame()[0:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nD9L2Qezfv18tWrS4b7ugoCANGzbske9/2LBhCgoKeuTb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\nlgEAAAAAMPh/ziCDiWk+tB4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('fivethirtyeight')\n",
    "plt.rcParams.update({'font.size':13})\n",
    "plt.figure(figsize=(14,10))\n",
    "display_fig = listing_second_df['neighbourhood_group_cleansed'].value_counts().to_frame()\n",
    "#plt.xscale('log')\n",
    "sns.barplot(x= display_fig['neighbourhood_group_cleansed'], y =display_fig.index, data=display_fig, palette='inferno',orient='h')\n",
    "plt.title('Count of Airbnb Reviews vs Bouroughs');\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Borough wise highest and lowest ratings received for Airbnb Listings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(1,2,figsize=(16,8))\n",
    "ax1,ax2 = ax.flatten()\n",
    "display_fig = listing_second_df.groupby(['neighbourhood_group_cleansed'])['review_scores_rating'].max().sort_values(ascending=False).to_frame()[:15]\n",
    "sns.barplot(x = display_fig['review_scores_rating'], y = display_fig.index, palette= 'ocean',ax=ax1)\n",
    "ax1.set_title('Highest rating in borough')\n",
    "ax1.set_ylabel('Borough')\n",
    "ax1.set_xlabel('')\n",
    "display_fig = listing_second_df.groupby(['neighbourhood_group_cleansed'])['review_scores_rating'].min().sort_values(ascending=True).to_frame()[:15]\n",
    "sns.barplot(x = display_fig['review_scores_rating'], y = display_fig.index, palette = 'spring',ax=ax2)\n",
    "ax2.set_title('Lowest rating in borough')\n",
    "ax2.set_ylabel('')\n",
    "ax2.set_xlabel('')\n",
    "plt.subplots_adjust(wspace=0.3);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is no real correlation between ratings and boroughs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_fig = listing_second_df.groupby(['neighbourhood_group_cleansed',]).mean()['review_scores_rating'].sort_values(ascending=False).to_frame()\n",
    "\n",
    "plt.figure(figsize=(16,8))\n",
    "sns.pointplot(x = display_fig['review_scores_rating'] ,y = cnt.index ,palette = 'spring',orient='h')\n",
    "plt.title('Borough vs average rating')\n",
    "plt.xlabel('Ratings');\n",
    "plt.ylabel('Boroughs');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique listings : 38103\n",
      "Number of unique listings : 917021\n"
     ]
    }
   ],
   "source": [
    "print('Number of unique listings :',reviews_df.listing_id.nunique())\n",
    "print('Number of unique listings :',reviews_df.reviewer_id.nunique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "# Write file to CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df_ld = df_ld.drop(['review_scores_rating','review_scores_communication',\n",
    "               'review_scores_cleanliness','review_scores_location','review_scores_checkin',\n",
    "               'review_scores_accuracy', 'review_scores_value' ], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "regex = re.compile(r\"\\[|\\]|<|\\(\", re.IGNORECASE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df_ld.columns = [regex.sub(\"_\", col) if any(x in str(col) for x in set(('[', ']', '('))) \n",
    "                 else col for col in new_df_ld.columns.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df_ld.to_csv(\"../data/interim/listingplusreviewfinal.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}