restaurant_base_table.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d6e56f8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "7dbcd0d0",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "* [1. Exploratory Data Analysis](#eda)\n",
    "    * [1.1. Downloading data](#download)\n",
    "    * [1.2. Data Evaluation](#evaluation)\n",
    "* [2. Saving the base dataset](#base)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "135e64fd",
   "metadata": {},
   "source": [
    "<a id=\"eda\"></a>\n",
    "\n",
    "# 1. EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "879f6098",
   "metadata": {},
   "outputs": [],
   "source": [
    "import opendatasets as od\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import copy\n",
    "import time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "dd91cc20",
   "metadata": {},
   "outputs": [],
   "source": [
    "# functions for restaurant dataset\n",
    "\n",
    "%run functions/rating_of_column_values.ipynb\n",
    "%run functions/features_to_flags.ipynb\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b9e1010",
   "metadata": {},
   "source": [
    "<a id=\"download\"></a>\n",
    "\n",
    "## 1.1. Downloading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "de963977",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds\n",
      "Your Kaggle username: alexandertropin\n",
      "Your Kaggle Key: ········\n",
      "Downloading tripadvisor-european-restaurants.zip to ./tripadvisor-european-restaurants\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████| 102M/102M [00:58<00:00, 1.82MB/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "od.download(\"https://www.kaggle.com/datasets/stefanoleone992/tripadvisor-european-restaurants\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "55da82e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/zh/mnvg84rj3_7413ycjzpn5y8r0000gp/T/ipykernel_80798/3521109834.py:2: DtypeWarning: Columns (4) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  rest_df = pd.read_csv(file_path)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>restaurant_link</th>\n",
       "      <th>restaurant_name</th>\n",
       "      <th>original_location</th>\n",
       "      <th>country</th>\n",
       "      <th>region</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>address</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>...</th>\n",
       "      <th>excellent</th>\n",
       "      <th>very_good</th>\n",
       "      <th>average</th>\n",
       "      <th>poor</th>\n",
       "      <th>terrible</th>\n",
       "      <th>food</th>\n",
       "      <th>service</th>\n",
       "      <th>value</th>\n",
       "      <th>atmosphere</th>\n",
       "      <th>keywords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>g10001637-d10002227</td>\n",
       "      <td>Le 147</td>\n",
       "      <td>[\"Europe\", \"France\", \"Nouvelle-Aquitaine\", \"Ha...</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>10 Maison Neuve, 87510 Saint-Jouvent France</td>\n",
       "      <td>45.961674</td>\n",
       "      <td>1.169131</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>g10001637-d14975787</td>\n",
       "      <td>Le Saint Jouvent</td>\n",
       "      <td>[\"Europe\", \"France\", \"Nouvelle-Aquitaine\", \"Ha...</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>16 Place de l Eglise, 87510 Saint-Jouvent France</td>\n",
       "      <td>45.957040</td>\n",
       "      <td>1.205480</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>g10002858-d4586832</td>\n",
       "      <td>Au Bout du Pont</td>\n",
       "      <td>[\"Europe\", \"France\", \"Centre-Val de Loire\", \"B...</td>\n",
       "      <td>France</td>\n",
       "      <td>Centre-Val de Loire</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Rivarennes</td>\n",
       "      <td>2 rue des Dames, 36800 Rivarennes France</td>\n",
       "      <td>46.635895</td>\n",
       "      <td>1.386133</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g10002986-d3510044</td>\n",
       "      <td>Le Relais de Naiade</td>\n",
       "      <td>[\"Europe\", \"France\", \"Nouvelle-Aquitaine\", \"Co...</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Correze</td>\n",
       "      <td>Lacelle</td>\n",
       "      <td>9 avenue Porte de la Correze 19170, 19170 Lace...</td>\n",
       "      <td>45.642610</td>\n",
       "      <td>1.824460</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>g10022428-d9767191</td>\n",
       "      <td>Relais Du MontSeigne</td>\n",
       "      <td>[\"Europe\", \"France\", \"Occitanie\", \"Aveyron\", \"...</td>\n",
       "      <td>France</td>\n",
       "      <td>Occitanie</td>\n",
       "      <td>Aveyron</td>\n",
       "      <td>Saint-Laurent-de-Levezou</td>\n",
       "      <td>route du Montseigne, 12620 Saint-Laurent-de-Le...</td>\n",
       "      <td>44.208860</td>\n",
       "      <td>2.960470</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       restaurant_link       restaurant_name  \\\n",
       "0  g10001637-d10002227                Le 147   \n",
       "1  g10001637-d14975787      Le Saint Jouvent   \n",
       "2   g10002858-d4586832       Au Bout du Pont   \n",
       "3   g10002986-d3510044   Le Relais de Naiade   \n",
       "4   g10022428-d9767191  Relais Du MontSeigne   \n",
       "\n",
       "                                   original_location country  \\\n",
       "0  [\"Europe\", \"France\", \"Nouvelle-Aquitaine\", \"Ha...  France   \n",
       "1  [\"Europe\", \"France\", \"Nouvelle-Aquitaine\", \"Ha...  France   \n",
       "2  [\"Europe\", \"France\", \"Centre-Val de Loire\", \"B...  France   \n",
       "3  [\"Europe\", \"France\", \"Nouvelle-Aquitaine\", \"Co...  France   \n",
       "4  [\"Europe\", \"France\", \"Occitanie\", \"Aveyron\", \"...  France   \n",
       "\n",
       "                region      province                      city  \\\n",
       "0   Nouvelle-Aquitaine  Haute-Vienne             Saint-Jouvent   \n",
       "1   Nouvelle-Aquitaine  Haute-Vienne             Saint-Jouvent   \n",
       "2  Centre-Val de Loire         Berry                Rivarennes   \n",
       "3   Nouvelle-Aquitaine       Correze                   Lacelle   \n",
       "4            Occitanie       Aveyron  Saint-Laurent-de-Levezou   \n",
       "\n",
       "                                             address   latitude  longitude  \\\n",
       "0        10 Maison Neuve, 87510 Saint-Jouvent France  45.961674   1.169131   \n",
       "1   16 Place de l Eglise, 87510 Saint-Jouvent France  45.957040   1.205480   \n",
       "2           2 rue des Dames, 36800 Rivarennes France  46.635895   1.386133   \n",
       "3  9 avenue Porte de la Correze 19170, 19170 Lace...  45.642610   1.824460   \n",
       "4  route du Montseigne, 12620 Saint-Laurent-de-Le...  44.208860   2.960470   \n",
       "\n",
       "   ... excellent very_good average poor terrible food service value  \\\n",
       "0  ...       2.0       0.0     0.0  0.0      0.0  4.0     4.5   4.0   \n",
       "1  ...       2.0       2.0     1.0  0.0      0.0  NaN     NaN   NaN   \n",
       "2  ...       3.0       1.0     0.0  0.0      0.0  NaN     NaN   NaN   \n",
       "3  ...       1.0       0.0     0.0  0.0      0.0  4.5     4.5   4.5   \n",
       "4  ...       4.0       7.0     0.0  0.0      0.0  4.5     4.5   4.5   \n",
       "\n",
       "  atmosphere keywords  \n",
       "0        NaN      NaN  \n",
       "1        NaN      NaN  \n",
       "2        NaN      NaN  \n",
       "3        NaN      NaN  \n",
       "4        NaN      NaN  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_path = 'tripadvisor-european-restaurants/tripadvisor_european_restaurants.csv'\n",
    "rest_df = pd.read_csv(file_path)\n",
    "\n",
    "rest_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "86356b51",
   "metadata": {},
   "outputs": [],
   "source": [
    "# removing the big dataset and its folder\n",
    "\n",
    "os.remove(file_path)\n",
    "!rmdir tripadvisor-european-restaurants"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54025470",
   "metadata": {},
   "source": [
    "<a id=\"evaluation\"></a>\n",
    "\n",
    "## 1.2. Data Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2f31abd6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1083397, 42)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d839d866",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "restaurant_link                           0\n",
       "restaurant_name                           0\n",
       "original_location                         0\n",
       "country                                   0\n",
       "region                                50323\n",
       "province                             340632\n",
       "city                                 400685\n",
       "address                                   0\n",
       "latitude                              15790\n",
       "longitude                             15790\n",
       "claimed                                1842\n",
       "awards                               820264\n",
       "popularity_detailed                   94988\n",
       "popularity_generic                    97792\n",
       "top_tags                             110634\n",
       "price_level                          277205\n",
       "price_range                          779070\n",
       "meals                                448050\n",
       "cuisines                             169103\n",
       "special_diets                        743141\n",
       "features                             765990\n",
       "vegetarian_friendly                       0\n",
       "vegan_options                             0\n",
       "gluten_free                               0\n",
       "original_open_hours                  489565\n",
       "open_days_per_week                   489565\n",
       "open_hours_per_week                  489565\n",
       "working_shifts_per_week              489565\n",
       "avg_rating                            96636\n",
       "total_reviews_count                   52235\n",
       "default_language                      95193\n",
       "reviews_count_in_default_language     95193\n",
       "excellent                             95193\n",
       "very_good                             95193\n",
       "average                               95193\n",
       "poor                                  95193\n",
       "terrible                              95193\n",
       "food                                 484072\n",
       "service                              479110\n",
       "value                                480705\n",
       "atmosphere                           821612\n",
       "keywords                             984199\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "81d57533",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "restaurant_link                       0.000000\n",
       "restaurant_name                       0.000000\n",
       "original_location                     0.000000\n",
       "country                               0.000000\n",
       "region                                4.644927\n",
       "province                             31.441106\n",
       "city                                 36.984134\n",
       "address                               0.000000\n",
       "latitude                              1.457453\n",
       "longitude                             1.457453\n",
       "claimed                               0.170021\n",
       "awards                               75.712227\n",
       "popularity_detailed                   8.767608\n",
       "popularity_generic                    9.026423\n",
       "top_tags                             10.211769\n",
       "price_level                          25.586650\n",
       "price_range                          71.909928\n",
       "meals                                41.356031\n",
       "cuisines                             15.608590\n",
       "special_diets                        68.593600\n",
       "features                             70.702614\n",
       "vegetarian_friendly                   0.000000\n",
       "vegan_options                         0.000000\n",
       "gluten_free                           0.000000\n",
       "original_open_hours                  45.187960\n",
       "open_days_per_week                   45.187960\n",
       "open_hours_per_week                  45.187960\n",
       "working_shifts_per_week              45.187960\n",
       "avg_rating                            8.919722\n",
       "total_reviews_count                   4.821409\n",
       "default_language                      8.786530\n",
       "reviews_count_in_default_language     8.786530\n",
       "excellent                             8.786530\n",
       "very_good                             8.786530\n",
       "average                               8.786530\n",
       "poor                                  8.786530\n",
       "terrible                              8.786530\n",
       "food                                 44.680943\n",
       "service                              44.222940\n",
       "value                                44.370162\n",
       "atmosphere                           75.836651\n",
       "keywords                             90.843800\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df.isna().sum() / rest_df.shape[0] * 100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "707cb5c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "restaurant_link                       object\n",
       "restaurant_name                       object\n",
       "original_location                     object\n",
       "country                               object\n",
       "region                                object\n",
       "province                              object\n",
       "city                                  object\n",
       "address                               object\n",
       "latitude                             float64\n",
       "longitude                            float64\n",
       "claimed                               object\n",
       "awards                                object\n",
       "popularity_detailed                   object\n",
       "popularity_generic                    object\n",
       "top_tags                              object\n",
       "price_level                           object\n",
       "price_range                           object\n",
       "meals                                 object\n",
       "cuisines                              object\n",
       "special_diets                         object\n",
       "features                              object\n",
       "vegetarian_friendly                   object\n",
       "vegan_options                         object\n",
       "gluten_free                           object\n",
       "original_open_hours                   object\n",
       "open_days_per_week                   float64\n",
       "open_hours_per_week                  float64\n",
       "working_shifts_per_week              float64\n",
       "avg_rating                           float64\n",
       "total_reviews_count                  float64\n",
       "default_language                      object\n",
       "reviews_count_in_default_language    float64\n",
       "excellent                            float64\n",
       "very_good                            float64\n",
       "average                              float64\n",
       "poor                                 float64\n",
       "terrible                             float64\n",
       "food                                 float64\n",
       "service                              float64\n",
       "value                                float64\n",
       "atmosphere                           float64\n",
       "keywords                              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5faa2b26",
   "metadata": {},
   "outputs": [],
   "source": [
    "# rest_df.loc[:, 'restaurant_link':'longitude'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fbc092ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# rest_df.loc[:, 'claimed':'special_diets'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "99d04b1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# rest_df.loc[:, 'features':'working_shifts_per_week'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "46ad7cd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# rest_df.loc[:, 'avg_rating':'value'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7f47e39f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# rest_df.loc[:, 'atmosphere':'keywords'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22b4e54c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "b79c60f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import missingno as msno"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "59e5340d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(rest_df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "6ae21742",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(rest_df.sort_values(by=['total_reviews_count','food', 'original_open_hours'])) # popularity_detailed, original_open_hours\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98b45b8d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "564050e6",
   "metadata": {},
   "source": [
    "### 1.2.1. Looking at columns with \",\" separator "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "81d95768",
   "metadata": {},
   "outputs": [],
   "source": [
    "# rating of values in the column\n",
    "\n",
    "# def rating_of_column_values(df, column, separator=', '):\n",
    "#     df2 = df[list(df)]\n",
    "#     df2['column_2'] = df2[column].str.split(separator)\n",
    "#     tags_list = list(set().union(*df2['column_2'].dropna()))\n",
    "\n",
    "#     tags_list_2 = []\n",
    "#     for tag in tags_list:\n",
    "#         tags_list_2.append([tag, df2['column_2'].dropna().map(set([tag]).issubset).fillna(False).value_counts()[True]])\n",
    "\n",
    "#     tags_list_2 = sorted(tags_list_2, key=lambda x: x[1], reverse=True)\n",
    "#     df2 = df2.drop(['column_2'], axis=1)\n",
    "#     return tags_list_2\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "41f83ad9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "restaurant_name            3930   0.360000\n",
      "original_location       1083397 100.000000\n",
      "city                          3   0.000000\n",
      "address                 1074625  99.190000\n",
      "awards                   214179  19.770000\n",
      "top_tags                 850418  78.500000\n",
      "meals                    522083  48.190000\n",
      "cuisines                 627912  57.960000\n",
      "special_diets            168200  15.530000\n",
      "features                 257037  23.730000\n",
      "original_open_hours      593832  54.810000\n",
      "keywords                  99198   9.160000\n"
     ]
    }
   ],
   "source": [
    "# columns with ', ' (amount and percentage)\n",
    "\n",
    "for col in rest_df.select_dtypes(include='object').columns:\n",
    "    rest_with_comma = len(rest_df[rest_df[col].str.contains(', ', na=False)])\n",
    "    if rest_with_comma > 0:\n",
    "        print(\"{0:<20s} {1:>10} {2:>10f}\".format(col, rest_with_comma, round(rest_with_comma/rest_df.shape[0]*100, 2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0bc87230",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[\"Travellers' Choice\", 147397],\n",
       " ['Certificate of Excellence 2017', 142887],\n",
       " ['Certificate of Excellence 2020', 140248],\n",
       " ['Certificate of Excellence 2019', 139995],\n",
       " ['Certificate of Excellence 2018', 138741],\n",
       " ['Certificate of Excellence 2016', 107686],\n",
       " ['Certificate of Excellence 2015', 66340],\n",
       " ['Certificate of Excellence 2014', 41445],\n",
       " ['Certificate of Excellence 2013', 31065],\n",
       " ['Certificate of Excellence 2012', 11377],\n",
       " ['Michelin 2021 for The Michelin Plate: Good cooking', 5796],\n",
       " ['Certificate of Excellence 2011', 4335],\n",
       " ['Michelin 2021 for Comfortable restaurant', 3687],\n",
       " ['Michelin 2021 for Simple restaurant', 3478],\n",
       " ['good value cooking', 1816],\n",
       " ['worth a stop!', 1672],\n",
       " ['Michelin 2020 for The Michelin Plate: Good cooking', 1366],\n",
       " ['Michelin 2021 for Bib Gourmand: good quality', 1323],\n",
       " ['Michelin 2021 for Very comfortable restaurant', 1301],\n",
       " ['Michelin 2021 for One Michelin Star: High quality cooking', 1292],\n",
       " ['Michelin 2020 for Comfortable restaurant', 1150],\n",
       " ['Michelin 2020 for Simple restaurant', 857],\n",
       " ['Michelin 2020 for Bib Gourmand: good quality', 493],\n",
       " ['Michelin 2020 for One Michelin Star: High quality cooking', 380],\n",
       " ['Michelin 2020 for Very comfortable restaurant', 282],\n",
       " ['worth a detour!', 258],\n",
       " ['Michelin 2021 for Two Michelin Stars: Excellent cooking', 189],\n",
       " [\"Travellers' Choice Best of the Best\", 165],\n",
       " ['Michelin 2021 for Extremely comfortable restaurant.', 165],\n",
       " [\"Travellers' Choice 2020\", 86],\n",
       " ['worth a special journey!', 74],\n",
       " ['Michelin 2020 for Two Michelin Stars: Excellent cooking', 69],\n",
       " ['Michelin 2021 for Three Michelin Stars: Exceptional cuisine', 60],\n",
       " ['Michelin 2020 for Extremely comfortable restaurant.', 32],\n",
       " ['Michelin 2021 for Luxurious restaurant', 29],\n",
       " ['Michelin 2020 for Three Michelin Stars: Exceptional cuisine', 14],\n",
       " ['Michelin 2020 for Luxurious restaurant', 1]]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_of_column_values(rest_df, 'awards', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a30d4497",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Mid-range', 538207],\n",
       " ['Cheap Eats', 240351],\n",
       " ['Italian', 236822],\n",
       " ['European', 177712],\n",
       " ['Mediterranean', 155388],\n",
       " ['Vegetarian Friendly', 133520],\n",
       " ['Pizza', 113259],\n",
       " ['Cafe', 107793],\n",
       " ['French', 98892],\n",
       " ['Bar', 90677],\n",
       " ['Spanish', 82501],\n",
       " ['Seafood', 80241],\n",
       " ['British', 64133],\n",
       " ['Fast food', 58479],\n",
       " ['Pub', 53573],\n",
       " ['Asian', 45942],\n",
       " ['German', 36346],\n",
       " ['International', 32942],\n",
       " ['Quick Bites', 29544],\n",
       " ['Chinese', 29113],\n",
       " ['Dessert', 28969],\n",
       " ['Fine Dining', 28081],\n",
       " ['American', 27972],\n",
       " ['Greek', 26215],\n",
       " ['Indian', 21197],\n",
       " ['Japanese', 20717],\n",
       " ['Barbecue', 20511],\n",
       " ['Steakhouse', 18576],\n",
       " ['Portuguese', 17682],\n",
       " ['Vegan Options', 16240],\n",
       " ['Sushi', 15435],\n",
       " ['Healthy', 14077],\n",
       " ['Dutch', 14041],\n",
       " ['Bakeries', 13373],\n",
       " ['Grill', 13261],\n",
       " ['Belgian', 11558],\n",
       " ['Austrian', 11028],\n",
       " ['Central European', 11015],\n",
       " ['Turkish', 10264],\n",
       " ['Wine Bar', 9745],\n",
       " ['Contemporary', 9620],\n",
       " ['Thai', 9446],\n",
       " ['Polish', 9374],\n",
       " ['Brew Pub', 9062],\n",
       " ['Deli', 8498],\n",
       " ['Middle Eastern', 8494],\n",
       " ['Diner', 7613],\n",
       " ['Mexican', 7398],\n",
       " ['Gluten Free Options', 7357],\n",
       " ['Irish', 6496],\n",
       " ['Gastropub', 6396],\n",
       " ['Street Food', 5480],\n",
       " ['Fusion', 5447],\n",
       " ['Balti', 5155],\n",
       " ['Vietnamese', 5121],\n",
       " ['Czech', 4388],\n",
       " ['Northern-Italian', 4130],\n",
       " ['Swedish', 3598],\n",
       " ['Eastern European', 3560],\n",
       " ['Soups', 3261],\n",
       " ['Moroccan', 3199],\n",
       " ['Southern-Italian', 3190],\n",
       " ['Lebanese', 3091],\n",
       " ['South American', 3031],\n",
       " ['Latin', 3014],\n",
       " ['Scandinavian', 2864],\n",
       " ['Cantonese', 2791],\n",
       " ['Croatian', 2786],\n",
       " ['Central-Italian', 2487],\n",
       " ['Hungarian', 2305],\n",
       " ['Tuscan', 2249],\n",
       " ['African', 2191],\n",
       " ['Scottish', 2166],\n",
       " ['Brazilian', 2018],\n",
       " ['Dining bars', 1937],\n",
       " ['Danish', 1907],\n",
       " ['Caribbean', 1897],\n",
       " ['Neapolitan', 1836],\n",
       " ['Basque', 1697],\n",
       " ['Romanian', 1688],\n",
       " ['Emilian', 1635],\n",
       " ['Lombard', 1526],\n",
       " ['Sicilian', 1495],\n",
       " ['Argentinian', 1490],\n",
       " ['Romana', 1374],\n",
       " ['Korean', 1291],\n",
       " ['Speciality Food Market', 1184],\n",
       " ['Pakistani', 1133],\n",
       " ['Halal', 1050],\n",
       " ['Peruvian', 1026],\n",
       " ['Bangladeshi', 984],\n",
       " ['Catalan', 975],\n",
       " ['Arabic', 938],\n",
       " ['Campania', 773],\n",
       " ['Nepalese', 738],\n",
       " ['Hawaiian', 706],\n",
       " ['Ligurian', 674],\n",
       " ['Beer restaurants', 661],\n",
       " ['Indonesian', 650],\n",
       " ['Persian', 639],\n",
       " ['Central American', 613],\n",
       " ['Sardinian', 587],\n",
       " ['Welsh', 565],\n",
       " ['Lazio', 560],\n",
       " ['Venezuelan', 508],\n",
       " ['Russian', 503],\n",
       " ['Cajun & Creole', 495],\n",
       " ['Szechuan', 494],\n",
       " ['Hong Kong', 463],\n",
       " ['Japanese Fusion', 430],\n",
       " ['Swiss', 376],\n",
       " ['Israeli', 361],\n",
       " ['Jamaican', 340],\n",
       " ['Apulian', 336],\n",
       " ['Southwestern', 335],\n",
       " ['Afghani', 334],\n",
       " ['Ethiopian', 297],\n",
       " ['Cuban', 289],\n",
       " ['Taiwanese', 247],\n",
       " ['Tunisian', 247],\n",
       " ['Australian', 234],\n",
       " ['Sri Lankan', 228],\n",
       " ['Colombian', 223],\n",
       " ['Egyptian', 211],\n",
       " ['Philippine', 210],\n",
       " ['Central Asian', 204],\n",
       " ['Calabrian', 194],\n",
       " ['Malaysian', 183],\n",
       " ['Georgian', 174],\n",
       " ['Canadian', 169],\n",
       " ['Armenian', 165],\n",
       " ['Caucasian', 161],\n",
       " ['Mongolian', 151],\n",
       " ['Shanghai', 149],\n",
       " ['Albanian', 135],\n",
       " ['Delivery Only', 134],\n",
       " ['Cambodian', 118],\n",
       " ['Tibetan', 117],\n",
       " ['Fruit parlours', 116],\n",
       " ['Romagna', 110],\n",
       " ['Slovenian', 107],\n",
       " ['Kosher', 99],\n",
       " ['Algerian', 91],\n",
       " ['Ukrainian', 90],\n",
       " ['Chilean', 87],\n",
       " ['Dine With a Local Chef', 63],\n",
       " ['Native American', 58],\n",
       " ['Japanese sweets parlour', 57],\n",
       " ['Ecuadorean', 55],\n",
       " ['Medicinal foods', 53],\n",
       " ['Imperial Chinese', 40],\n",
       " ['Singaporean', 39],\n",
       " ['Polynesian', 36],\n",
       " ['Beijing Specialties ', 36],\n",
       " ['New Zealand', 34],\n",
       " ['Beijing cuisine', 31],\n",
       " ['Uzbek', 28],\n",
       " ['Azerbaijani', 25],\n",
       " ['NorthWestern Chinese', 25],\n",
       " ['Norwegian', 24],\n",
       " ['NorthEastern Chinese', 23],\n",
       " ['Hunan', 22],\n",
       " ['Nigerian', 21],\n",
       " ['Guatemalan', 20],\n",
       " ['Assyrian', 19],\n",
       " ['Salvadoran', 19],\n",
       " ['Bahamian', 16],\n",
       " ['Hokkaido cuisine', 15],\n",
       " ['Fujian', 14],\n",
       " ['Yunnan', 14],\n",
       " ['Xinjiang', 14],\n",
       " ['Anhui', 14],\n",
       " ['Latvian', 13],\n",
       " ['Zhejiang', 13],\n",
       " ['Burmese', 13],\n",
       " ['Kyoto cuisine', 12],\n",
       " ['Puerto Rican', 11],\n",
       " ['Costa Rican', 9],\n",
       " ['Kaiseki', 7],\n",
       " ['Nonya/Malaysian', 6],\n",
       " ['Kappo', 4],\n",
       " ['Hangzhou', 2],\n",
       " ['Guangxi', 2],\n",
       " ['Kyushu cuisine', 2],\n",
       " ['Shandong', 2],\n",
       " ['Guizhou', 2],\n",
       " ['Jiangxi', 2],\n",
       " ['Hubei', 1],\n",
       " ['Henan', 1]]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_of_column_values(rest_df, 'top_tags', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3577e63a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Dinner', 532366],\n",
       " ['Lunch', 511678],\n",
       " ['Breakfast', 181695],\n",
       " ['Drinks', 117450],\n",
       " ['Brunch', 101571],\n",
       " ['After-hours', 91200]]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_of_column_values(rest_df, 'meals', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "65969cb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Italian', 235823],\n",
       " ['European', 208436],\n",
       " ['Mediterranean', 173020],\n",
       " ['Pizza', 114070],\n",
       " ['Cafe', 109188],\n",
       " ['French', 98480],\n",
       " ['Spanish', 93191],\n",
       " ['Bar', 90508],\n",
       " ['Pub', 82113],\n",
       " ['Seafood', 81397],\n",
       " ['British', 67673],\n",
       " ['Fast food', 61154],\n",
       " ['Asian', 53658],\n",
       " ['German', 36236],\n",
       " ['International', 34727],\n",
       " ['Greek', 30774],\n",
       " ['Chinese', 29046],\n",
       " ['American', 27921],\n",
       " ['Barbecue', 26997],\n",
       " ['Healthy', 26168],\n",
       " ['Portuguese', 23781],\n",
       " ['Grill', 22019],\n",
       " ['Indian', 21119],\n",
       " ['Japanese', 20645],\n",
       " ['Central European', 20349],\n",
       " ['Steakhouse', 18511],\n",
       " ['Southern-Italian', 18191],\n",
       " ['Sushi', 17777],\n",
       " ['Wine Bar', 17482],\n",
       " ['Gastropub', 14764],\n",
       " ['Contemporary', 14665],\n",
       " ['Dutch', 14076],\n",
       " ['Diner', 13444],\n",
       " ['Deli', 11621],\n",
       " ['Middle Eastern', 11588],\n",
       " ['Central-Italian', 11582],\n",
       " ['Belgian', 11549],\n",
       " ['Turkish', 11318],\n",
       " ['Austrian', 11026],\n",
       " ['Thai', 11004],\n",
       " ['Street Food', 10743],\n",
       " ['Fusion', 10702],\n",
       " ['Northern-Italian', 10249],\n",
       " ['Polish', 9367],\n",
       " ['Brew Pub', 9145],\n",
       " ['Soups', 7931],\n",
       " ['Mexican', 7364],\n",
       " ['Vietnamese', 7005],\n",
       " ['Campania', 6617],\n",
       " ['Neapolitan', 6397],\n",
       " ['Irish', 6338],\n",
       " ['South American', 6320],\n",
       " ['Croatian', 6279],\n",
       " ['Eastern European', 5974],\n",
       " ['Balti', 5763],\n",
       " ['Czech', 5716],\n",
       " ['Sicilian', 5666],\n",
       " ['Tuscan', 5666],\n",
       " ['Dining bars', 5058],\n",
       " ['Swedish', 4723],\n",
       " ['Scottish', 4692],\n",
       " ['Scandinavian', 4474],\n",
       " ['Hungarian', 3781],\n",
       " ['Lazio', 3771],\n",
       " ['Romana', 3653],\n",
       " ['Bangladeshi', 3504],\n",
       " ['Moroccan', 3225],\n",
       " ['Lebanese', 3078],\n",
       " ['Romanian', 3062],\n",
       " ['Latin', 3032],\n",
       " ['Catalan', 2999],\n",
       " ['Danish', 2973],\n",
       " ['Lombard', 2848],\n",
       " ['Emilian', 2535],\n",
       " ['Argentinian', 2509],\n",
       " ['Ligurian', 2356],\n",
       " ['Sardinian', 2252],\n",
       " ['Beer restaurants', 2201],\n",
       " ['African', 2197],\n",
       " ['Brazilian', 2040],\n",
       " ['Arabic', 1954],\n",
       " ['Pakistani', 1897],\n",
       " ['Caribbean', 1896],\n",
       " ['Korean', 1761],\n",
       " ['Central American', 1567],\n",
       " ['Welsh', 1372],\n",
       " ['Hawaiian', 1092],\n",
       " ['Japanese Fusion', 1086],\n",
       " ['Nepalese', 1052],\n",
       " ['Peruvian', 1015],\n",
       " ['Indonesian', 955],\n",
       " ['Persian', 836],\n",
       " ['Venezuelan', 762],\n",
       " ['Apulian', 714],\n",
       " ['Russian', 672],\n",
       " ['Tunisian', 661],\n",
       " ['Israeli', 611],\n",
       " ['Afghani', 588],\n",
       " ['Cajun & Creole', 507],\n",
       " ['Cuban', 486],\n",
       " ['Central Asian', 486],\n",
       " ['Jamaican', 469],\n",
       " ['Colombian', 466],\n",
       " ['Malaysian', 454],\n",
       " ['Mongolian', 440],\n",
       " ['Taiwanese', 434],\n",
       " ['Egyptian', 415],\n",
       " ['Swiss', 388],\n",
       " ['Australian', 384],\n",
       " ['Calabrian', 367],\n",
       " ['Southwestern', 361],\n",
       " ['Ethiopian', 352],\n",
       " ['Sri Lankan', 323],\n",
       " ['Caucasian', 318],\n",
       " ['Armenian', 313],\n",
       " ['Albanian', 285],\n",
       " ['Cambodian', 278],\n",
       " ['Canadian', 266],\n",
       " ['Georgian', 254],\n",
       " ['Fruit parlours', 240],\n",
       " ['Romagna', 229],\n",
       " ['Ukrainian', 224],\n",
       " ['Algerian', 218],\n",
       " ['Philippine', 212],\n",
       " ['Medicinal foods', 194],\n",
       " ['Slovenian', 177],\n",
       " ['Tibetan', 151],\n",
       " ['Chilean', 146],\n",
       " ['Singaporean', 120],\n",
       " ['Ecuadorean', 114],\n",
       " ['Native American', 105],\n",
       " ['Norwegian', 101],\n",
       " ['Japanese sweets parlour', 96],\n",
       " ['New Zealand', 69],\n",
       " ['Beijing cuisine', 66],\n",
       " ['Polynesian', 63],\n",
       " ['Azerbaijani', 56],\n",
       " ['Assyrian', 49],\n",
       " ['Fujian', 43],\n",
       " ['Uzbek', 42],\n",
       " ['Burmese', 36],\n",
       " ['Xinjiang', 35],\n",
       " ['Yunnan', 34],\n",
       " ['Puerto Rican', 33],\n",
       " ['Latvian', 32],\n",
       " ['Guatemalan', 32],\n",
       " ['Bahamian', 28],\n",
       " ['Nigerian', 28],\n",
       " ['Salvadoran', 26],\n",
       " ['Hokkaido cuisine', 25],\n",
       " ['Costa Rican', 25],\n",
       " ['Kyoto cuisine', 18],\n",
       " ['Kaiseki', 17],\n",
       " ['Kyushu cuisine', 8],\n",
       " ['Kappo', 6],\n",
       " ['Shojin', 2]]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_of_column_values(rest_df, 'cuisines', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "98928eea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Vegetarian Friendly', 324017],\n",
       " ['Vegan Options', 136597],\n",
       " ['Gluten Free Options', 123497],\n",
       " ['Halal', 6709],\n",
       " ['Kosher', 298]]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_of_column_values(rest_df, 'special_diets', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c9243f05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Seating', 228439],\n",
       " ['Reservations', 215387],\n",
       " ['Table Service', 191467],\n",
       " ['Wheelchair Accessible', 146385],\n",
       " ['Serves Alcohol', 129553],\n",
       " ['Takeout', 94983],\n",
       " ['Outdoor Seating', 74512],\n",
       " ['Accepts Credit Cards', 58121],\n",
       " ['Highchairs Available', 52849],\n",
       " ['Full Bar', 49332],\n",
       " ['Free Wifi', 41665],\n",
       " ['Parking Available', 27316],\n",
       " ['Wine and Beer', 25291],\n",
       " ['Delivery', 18758],\n",
       " ['Television', 17841],\n",
       " ['Accepts Visa', 17558],\n",
       " ['Accepts Mastercard', 16681],\n",
       " ['Street Parking', 14063],\n",
       " ['Free off-street parking', 12344],\n",
       " ['Digital Payments', 10863],\n",
       " ['Validated Parking', 7949],\n",
       " ['Accepts American Express', 7707],\n",
       " ['Gift Cards Available', 6103],\n",
       " ['Cash Only', 6046],\n",
       " ['Private Dining', 5075],\n",
       " ['Dog Friendly', 5064],\n",
       " ['Buffet', 4562],\n",
       " ['Family style', 4423],\n",
       " ['Live Music', 4080],\n",
       " ['Non-smoking restaurants', 2607],\n",
       " ['Waterfront', 1722],\n",
       " ['Accepts Discover', 1262],\n",
       " ['Valet Parking', 1155],\n",
       " ['Playgrounds', 1141],\n",
       " ['Beach', 668],\n",
       " ['Drive Thru', 499],\n",
       " ['BYOB', 494],\n",
       " ['Sports bars', 409],\n",
       " ['Jazz Bar', 350]]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_of_column_values(rest_df, 'features', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d3f14d1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# too long\n",
    "# rating_of_column_values(rest_df, 'original_open_hours', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "41b6efb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# too long\n",
    "# rating_of_column_values(rest_df, 'keywords', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7f070ec1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Italy', 224763],\n",
       " ['Spain', 157479],\n",
       " ['France', 155288],\n",
       " ['England', 144681],\n",
       " ['Germany', 115333],\n",
       " ['Greece', 33763],\n",
       " ['Portugal', 32592],\n",
       " ['The Netherlands', 29792],\n",
       " ['Poland', 24698],\n",
       " ['Belgium', 23711],\n",
       " ['Austria', 20487],\n",
       " ['Sweden', 18555],\n",
       " ['Czech Republic', 14844],\n",
       " ['Scotland', 14215],\n",
       " ['Ireland', 11203],\n",
       " ['Denmark', 9485],\n",
       " ['Wales', 9134],\n",
       " ['Croatia', 8375],\n",
       " ['Romania', 7842],\n",
       " ['Hungary', 7431],\n",
       " ['Finland', 7372],\n",
       " ['Bulgaria', 4469],\n",
       " ['Slovakia', 4251],\n",
       " ['Northern Ireland', 3634]]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_of_column_values(rest_df, 'country', separator=', ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d38d53e3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e4592e20",
   "metadata": {},
   "source": [
    "### 1.2.2. Fixing the country name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "20f90116",
   "metadata": {},
   "outputs": [],
   "source": [
    "def theUK(country):\n",
    "    if country in ['England', 'Scotland', 'Wales', 'Northern Ireland']:\n",
    "        return 'United Kingdom'\n",
    "    else:\n",
    "        return country\n",
    "\n",
    "def theNe(country):\n",
    "    if country == 'Netherlands':\n",
    "        return 'The Netherlands'\n",
    "    else:\n",
    "        return country\n",
    "\n",
    "subreg = {\n",
    "    'Italy': 'South',\n",
    "    'Spain': 'South',\n",
    "    'France': 'West',\n",
    "    'United Kingdom': 'North',\n",
    "#     'England': 'North',\n",
    "    'Germany': 'West',\n",
    "    'Greece': 'South',\n",
    "    'Portugal': 'South',\n",
    "    'The Netherlands': 'West',\n",
    "    'Poland': 'East',\n",
    "    'Belgium': 'West',\n",
    "    'Austria': 'West',\n",
    "    'Sweden': 'North',\n",
    "    'Czech Republic': 'East',\n",
    "#     'Scotland': 'North',\n",
    "    'Ireland': 'North',\n",
    "    'Denmark': 'North',\n",
    "#     'Wales': 'North',\n",
    "    'Croatia': 'South',\n",
    "    'Romania': 'East',\n",
    "    'Hungary': 'East',\n",
    "    'Finland': 'North',\n",
    "    'Bulgaria': 'East',\n",
    "    'Slovakia': 'East'\n",
    "#     'Northern Ireland': 'North'\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "3342b72a",
   "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>restaurant_link</th>\n",
       "      <th>restaurant_name</th>\n",
       "      <th>country</th>\n",
       "      <th>region</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>address</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>claimed</th>\n",
       "      <th>...</th>\n",
       "      <th>average</th>\n",
       "      <th>poor</th>\n",
       "      <th>terrible</th>\n",
       "      <th>food</th>\n",
       "      <th>service</th>\n",
       "      <th>value</th>\n",
       "      <th>atmosphere</th>\n",
       "      <th>keywords</th>\n",
       "      <th>country_origin</th>\n",
       "      <th>subregion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>g10001637-d10002227</td>\n",
       "      <td>Le 147</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>10 Maison Neuve, 87510 Saint-Jouvent France</td>\n",
       "      <td>45.961674</td>\n",
       "      <td>1.169131</td>\n",
       "      <td>Claimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>g10001637-d14975787</td>\n",
       "      <td>Le Saint Jouvent</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>16 Place de l Eglise, 87510 Saint-Jouvent France</td>\n",
       "      <td>45.957040</td>\n",
       "      <td>1.205480</td>\n",
       "      <td>Unclaimed</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>g10002858-d4586832</td>\n",
       "      <td>Au Bout du Pont</td>\n",
       "      <td>France</td>\n",
       "      <td>Centre-Val de Loire</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Rivarennes</td>\n",
       "      <td>2 rue des Dames, 36800 Rivarennes France</td>\n",
       "      <td>46.635895</td>\n",
       "      <td>1.386133</td>\n",
       "      <td>Claimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g10002986-d3510044</td>\n",
       "      <td>Le Relais de Naiade</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Correze</td>\n",
       "      <td>Lacelle</td>\n",
       "      <td>9 avenue Porte de la Correze 19170, 19170 Lace...</td>\n",
       "      <td>45.642610</td>\n",
       "      <td>1.824460</td>\n",
       "      <td>Claimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>g10022428-d9767191</td>\n",
       "      <td>Relais Du MontSeigne</td>\n",
       "      <td>France</td>\n",
       "      <td>Occitanie</td>\n",
       "      <td>Aveyron</td>\n",
       "      <td>Saint-Laurent-de-Levezou</td>\n",
       "      <td>route du Montseigne, 12620 Saint-Laurent-de-Le...</td>\n",
       "      <td>44.208860</td>\n",
       "      <td>2.960470</td>\n",
       "      <td>Unclaimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "      <td>West</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       restaurant_link       restaurant_name country               region  \\\n",
       "0  g10001637-d10002227                Le 147  France   Nouvelle-Aquitaine   \n",
       "1  g10001637-d14975787      Le Saint Jouvent  France   Nouvelle-Aquitaine   \n",
       "2   g10002858-d4586832       Au Bout du Pont  France  Centre-Val de Loire   \n",
       "3   g10002986-d3510044   Le Relais de Naiade  France   Nouvelle-Aquitaine   \n",
       "4   g10022428-d9767191  Relais Du MontSeigne  France            Occitanie   \n",
       "\n",
       "       province                      city  \\\n",
       "0  Haute-Vienne             Saint-Jouvent   \n",
       "1  Haute-Vienne             Saint-Jouvent   \n",
       "2         Berry                Rivarennes   \n",
       "3       Correze                   Lacelle   \n",
       "4       Aveyron  Saint-Laurent-de-Levezou   \n",
       "\n",
       "                                             address   latitude  longitude  \\\n",
       "0        10 Maison Neuve, 87510 Saint-Jouvent France  45.961674   1.169131   \n",
       "1   16 Place de l Eglise, 87510 Saint-Jouvent France  45.957040   1.205480   \n",
       "2           2 rue des Dames, 36800 Rivarennes France  46.635895   1.386133   \n",
       "3  9 avenue Porte de la Correze 19170, 19170 Lace...  45.642610   1.824460   \n",
       "4  route du Montseigne, 12620 Saint-Laurent-de-Le...  44.208860   2.960470   \n",
       "\n",
       "     claimed  ... average poor terrible food service value atmosphere  \\\n",
       "0    Claimed  ...     0.0  0.0      0.0  4.0     4.5   4.0        NaN   \n",
       "1  Unclaimed  ...     1.0  0.0      0.0  NaN     NaN   NaN        NaN   \n",
       "2    Claimed  ...     0.0  0.0      0.0  NaN     NaN   NaN        NaN   \n",
       "3    Claimed  ...     0.0  0.0      0.0  4.5     4.5   4.5        NaN   \n",
       "4  Unclaimed  ...     0.0  0.0      0.0  4.5     4.5   4.5        NaN   \n",
       "\n",
       "  keywords country_origin subregion  \n",
       "0      NaN         France      West  \n",
       "1      NaN         France      West  \n",
       "2      NaN         France      West  \n",
       "3      NaN         France      West  \n",
       "4      NaN         France      West  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df_upd = copy.deepcopy(rest_df)\n",
    "# df_upd = df_upd.drop(['column_2'], axis=1)\n",
    "rest_df_upd = rest_df_upd.drop(['original_location'], axis=1)\n",
    "rest_df_upd['country_origin'] = rest_df_upd['country']\n",
    "rest_df_upd['country'] = rest_df_upd.apply(lambda x: theUK(x['country']),axis=1)\n",
    "rest_df_upd['subregion'] = rest_df_upd.apply(lambda x: subreg[x['country']],axis=1)\n",
    "\n",
    "rest_df_upd.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73e78402",
   "metadata": {},
   "source": [
    "### 1.2.3. Replacing N/Y values with boolean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "faf98d9d",
   "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>vegetarian_friendly</th>\n",
       "      <th>vegan_options</th>\n",
       "      <th>gluten_free</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   vegetarian_friendly  vegan_options  gluten_free\n",
       "0                False          False        False\n",
       "1                False          False        False\n",
       "2                False          False        False\n",
       "3                False          False        False\n",
       "4                False          False        False"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boolean_dict = {\n",
    "    'N': False,\n",
    "    'Y': True\n",
    "}\n",
    "\n",
    "flag_columns = ['vegetarian_friendly','vegan_options','gluten_free']\n",
    "for col in flag_columns:\n",
    "    rest_df_upd = rest_df_upd.replace({col: boolean_dict})\n",
    "\n",
    "rest_df_upd[flag_columns].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d41f8446",
   "metadata": {},
   "outputs": [],
   "source": [
    "# price_level_dict = {\n",
    "#     '€': 'Cheap Eats',\n",
    "#     '€€-€€€': 'Mid-range',\n",
    "#     '€€€€': 'Fine Dining'\n",
    "# }\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a02c6447",
   "metadata": {},
   "source": [
    "### 1.2.4. Replacing 'price_range' with numerical columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d8e0d478",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to parse price_range in min and max values\n",
    "\n",
    "def price_range_to_2_columns(price_range):\n",
    "    for substr in [\",\", \"€\", \"CHF \", \"CHF\\xa0\"]:  # \\xa0 = no-break space\n",
    "        price_range = price_range.replace(substr, \"\")\n",
    "        \n",
    "    price = price_range.split('-')\n",
    "    price_min = int(price[0])\n",
    "    price_max = int(price[1])\n",
    "\n",
    "    return [price_min, price_max]\n",
    "\n",
    "def correct_price_range(cell):\n",
    "    price_range_dict = {}\n",
    "    if cell is None:\n",
    "        price_min, price_max = None, None\n",
    "    else:\n",
    "        price_min, price_max = price_range_to_2_columns(cell)\n",
    "    price_range_dict['price_min'] = price_min\n",
    "    price_range_dict['price_max'] = price_max\n",
    "    return price_range_dict\n",
    "\n",
    "# price_range = '€10-€30'\n",
    "# price_range = 'CHF 6-CHF 17'\n",
    "# correct_price_range(price_range)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6280a2e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_df = rest_df_upd[['restaurant_link','price_range']].dropna().reset_index(drop=True)\n",
    "price_df = price_df['price_range'].apply(lambda x: pd.Series(correct_price_range(x)))\n",
    "price_df2 = rest_df_upd[['restaurant_link']].merge(price_df, left_index=True, right_index=True)\n",
    "\n",
    "rest_df_upd = rest_df_upd.merge(price_df2, on='restaurant_link', how='left')\n",
    "# rest_df_upd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "9c1eb2b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['restaurant_link', 'price_min', 'price_max'], dtype='object')"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_df2.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "0a568cab",
   "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>restaurant_link</th>\n",
       "      <th>country</th>\n",
       "      <th>region</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>avg_rating</th>\n",
       "      <th>total_reviews_count</th>\n",
       "      <th>price_level</th>\n",
       "      <th>price_min</th>\n",
       "      <th>price_max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>g10001637-d10002227</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>4.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>€</td>\n",
       "      <td>14.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>g10001637-d14975787</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>€</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>g10002858-d4586832</td>\n",
       "      <td>France</td>\n",
       "      <td>Centre-Val de Loire</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Rivarennes</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>€</td>\n",
       "      <td>10.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g10002986-d3510044</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Correze</td>\n",
       "      <td>Lacelle</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>€</td>\n",
       "      <td>12.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>g10022428-d9767191</td>\n",
       "      <td>France</td>\n",
       "      <td>Occitanie</td>\n",
       "      <td>Aveyron</td>\n",
       "      <td>Saint-Laurent-de-Levezou</td>\n",
       "      <td>4.5</td>\n",
       "      <td>11.0</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>12.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304322</th>\n",
       "      <td>g1865661-d5973283</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Lower Austria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wiener Neudorf</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304323</th>\n",
       "      <td>g1865661-d7253780</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Lower Austria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wiener Neudorf</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304324</th>\n",
       "      <td>g1865661-d8026222</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Lower Austria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wiener Neudorf</td>\n",
       "      <td>4.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304325</th>\n",
       "      <td>g1865661-d8148295</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Lower Austria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wiener Neudorf</td>\n",
       "      <td>4.5</td>\n",
       "      <td>11.0</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>2.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304326</th>\n",
       "      <td>g1865661-d8649332</td>\n",
       "      <td>Austria</td>\n",
       "      <td>Lower Austria</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wiener Neudorf</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>304327 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            restaurant_link  country               region      province  \\\n",
       "0       g10001637-d10002227   France   Nouvelle-Aquitaine  Haute-Vienne   \n",
       "1       g10001637-d14975787   France   Nouvelle-Aquitaine  Haute-Vienne   \n",
       "2        g10002858-d4586832   France  Centre-Val de Loire         Berry   \n",
       "3        g10002986-d3510044   France   Nouvelle-Aquitaine       Correze   \n",
       "4        g10022428-d9767191   France            Occitanie       Aveyron   \n",
       "...                     ...      ...                  ...           ...   \n",
       "304322    g1865661-d5973283  Austria        Lower Austria           NaN   \n",
       "304323    g1865661-d7253780  Austria        Lower Austria           NaN   \n",
       "304324    g1865661-d8026222  Austria        Lower Austria           NaN   \n",
       "304325    g1865661-d8148295  Austria        Lower Austria           NaN   \n",
       "304326    g1865661-d8649332  Austria        Lower Austria           NaN   \n",
       "\n",
       "                            city  avg_rating  total_reviews_count price_level  \\\n",
       "0                  Saint-Jouvent         4.0                 36.0           €   \n",
       "1                  Saint-Jouvent         4.0                  5.0           €   \n",
       "2                     Rivarennes         5.0                 13.0           €   \n",
       "3                        Lacelle         4.0                 34.0           €   \n",
       "4       Saint-Laurent-de-Levezou         4.5                 11.0      €€-€€€   \n",
       "...                          ...         ...                  ...         ...   \n",
       "304322            Wiener Neudorf         2.5                  5.0         NaN   \n",
       "304323            Wiener Neudorf         4.0                 15.0      €€-€€€   \n",
       "304324            Wiener Neudorf         4.0                 50.0      €€-€€€   \n",
       "304325            Wiener Neudorf         4.5                 11.0      €€-€€€   \n",
       "304326            Wiener Neudorf         3.0                 11.0      €€-€€€   \n",
       "\n",
       "        price_min  price_max  \n",
       "0            14.0       29.0  \n",
       "1             8.0       17.0  \n",
       "2            10.0       35.0  \n",
       "3            12.0       26.0  \n",
       "4            12.0       30.0  \n",
       "...           ...        ...  \n",
       "304322        1.0       11.0  \n",
       "304323        1.0       11.0  \n",
       "304324        2.0       12.0  \n",
       "304325        2.0       20.0  \n",
       "304326        2.0        8.0  \n",
       "\n",
       "[304327 rows x 10 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_df_notna = rest_df_upd[['restaurant_link', 'country', 'region', 'province', 'city', 'avg_rating', 'total_reviews_count', 'price_level', 'price_min', 'price_max']][rest_df_upd['price_min'].notna()]\n",
    "price_df_notna\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "32693054",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_df_notna.to_csv('restaurant_price_base.csv', sep=';', encoding='utf-8', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f4ee215",
   "metadata": {},
   "source": [
    "### 1.2.5. Replacing 'original_open_hours' with datetime columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c2cb6e76",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to convert original_open_hours to datetime fields\n",
    "\n",
    "import json\n",
    "from datetime import datetime\n",
    "from datetime import timedelta\n",
    "import statistics\n",
    "\n",
    "def ifNone(val):\n",
    "    if val is None:\n",
    "        return timedelta(seconds=0)\n",
    "    else:\n",
    "        return val\n",
    "\n",
    "def day_schedule_to_4_columns(day_list):\n",
    "    t_list = []\n",
    "    for tt in day_list:\n",
    "        for t in tt.split('-'):\n",
    "            t_list.append(datetime.strptime('01/01/22 '+t+':00', '%d/%m/%y %H:%M:%S'))\n",
    "#     если закрывается за полночь, то сместить в следующие сутки:\n",
    "    if t_list != [] and t_list[-1] < t_list[0]:\n",
    "        one_day = timedelta(days=1)\n",
    "        t_list[-1] += one_day\n",
    "    return t_list\n",
    "\n",
    "def dict_by_cell(test_cell):\n",
    "    test_dict = {}\n",
    "    for key in json.loads(test_cell).keys():\n",
    "        open_dttm = None\n",
    "        close_dttm = None\n",
    "        start_break_dttm = None\n",
    "        end_break_dttm = None\n",
    "        t_list = day_schedule_to_4_columns(json.loads(test_cell)[key])\n",
    "\n",
    "        if t_list != []:\n",
    "            open_dttm = t_list[0]\n",
    "            close_dttm = t_list[-1]\n",
    "            if t_list[1] != t_list[-1]:\n",
    "                start_break_dttm = t_list[1]\n",
    "                end_break_dttm = t_list[2]\n",
    "            else:\n",
    "                start_break_dttm = None\n",
    "                end_break_dttm = None\n",
    "\n",
    "        test_dict[key] = {\n",
    "            'weekend_flg': (False, True)[key in ['Sat', 'Sun']],\n",
    "            'open_dttm': open_dttm,\n",
    "            'close_dttm': close_dttm,\n",
    "            'start_break_dttm': start_break_dttm,\n",
    "            'end_break_dttm': end_break_dttm,\n",
    "            'open_hours': (ifNone(close_dttm)-ifNone(open_dttm))-(ifNone(end_break_dttm)-ifNone(start_break_dttm)),\n",
    "    #         (test_dict[key]['close_dttm']-test_dict[key]['open_dttm'])-(ifNone(test_dict[key]['end_break_dttm'])-ifNone(test_dict[key]['start_break_dttm']))\n",
    "            'break_hours': (ifNone(end_break_dttm)-ifNone(start_break_dttm))\n",
    "        }\n",
    "    return test_dict\n",
    "    \n",
    "def new_schedule_parameters(test_dict):\n",
    "    schedule_dict = {}\n",
    "    empty_flg = (False, True)[sum([1 for key in test_dict.keys() if test_dict[key]['open_dttm'] is not None]) >= 1]\n",
    "    \n",
    "    if empty_flg == 1:\n",
    "        min_open_dttm = min([test_dict[key]['open_dttm'] for key in test_dict.keys() if test_dict[key]['open_dttm'] is not None])\n",
    "#         min_open_sec = (min_open_dttm - datetime.datetime(1970,1,1)).total_seconds()\n",
    "        min_open_sec = min_open_dttm.timestamp()\n",
    "        max_close_dttm = max([test_dict[key]['close_dttm'] for key in test_dict.keys() if test_dict[key]['close_dttm'] is not None])\n",
    "        max_close_sec = max_close_dttm.timestamp()\n",
    "\n",
    "        break_flg = (False, True)[sum([1 for key in test_dict.keys() if test_dict[key]['start_break_dttm'] is not None]) >= 1]\n",
    "        if len([test_dict[key]['break_hours'] for key in test_dict.keys() if test_dict[key]['start_break_dttm'] is not None]) > 0:\n",
    "            max_break_hours = max([test_dict[key]['break_hours'] for key in test_dict.keys() if test_dict[key]['start_break_dttm'] is not None])\n",
    "        else:\n",
    "            max_break_hours = timedelta(seconds=0)\n",
    "        \n",
    "        # statistics.median()\n",
    "        if len([test_dict[key]['open_hours'] for key in test_dict.keys() if test_dict[key]['open_dttm'] is not None and test_dict[key]['weekend_flg'] is False]) > 0:\n",
    "            max_no_weekend_hours = max([test_dict[key]['open_hours'] for key in test_dict.keys() if test_dict[key]['open_dttm'] is not None and test_dict[key]['weekend_flg'] is False])\n",
    "        else:\n",
    "            max_no_weekend_hours = timedelta(seconds=0)\n",
    "        if len([test_dict[key]['open_hours'] for key in test_dict.keys() if test_dict[key]['open_dttm'] is not None and test_dict[key]['weekend_flg'] is True]) > 0:\n",
    "            max_weekend_hours = max([test_dict[key]['open_hours'] for key in test_dict.keys() if test_dict[key]['open_dttm'] is not None and test_dict[key]['weekend_flg'] is True])\n",
    "        else:\n",
    "            max_weekend_hours = timedelta(seconds=0)\n",
    "            \n",
    "        schedule_dict['min_open_dttm'] = min_open_dttm\n",
    "        schedule_dict['min_open_sec'] = min_open_sec\n",
    "        schedule_dict['max_close_dttm'] = max_close_dttm\n",
    "        schedule_dict['max_close_sec'] = max_close_sec\n",
    "        schedule_dict['break_flg'] = break_flg\n",
    "        schedule_dict['max_break_hours'] = max_break_hours\n",
    "        schedule_dict['max_no_weekend_hours'] = max_no_weekend_hours\n",
    "        schedule_dict['max_weekend_hours'] = max_weekend_hours\n",
    "\n",
    "        for key in test_dict.keys():\n",
    "            schedule_dict[str.lower('open_%s_hours' % key)] = test_dict[key]['open_hours']\n",
    "    \n",
    "    return schedule_dict\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "6a99b2bd",
   "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>restaurant_link</th>\n",
       "      <th>restaurant_name</th>\n",
       "      <th>country</th>\n",
       "      <th>region</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>address</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>claimed</th>\n",
       "      <th>...</th>\n",
       "      <th>max_break_hours</th>\n",
       "      <th>max_no_weekend_hours</th>\n",
       "      <th>max_weekend_hours</th>\n",
       "      <th>open_mon_hours</th>\n",
       "      <th>open_tue_hours</th>\n",
       "      <th>open_wed_hours</th>\n",
       "      <th>open_thu_hours</th>\n",
       "      <th>open_fri_hours</th>\n",
       "      <th>open_sat_hours</th>\n",
       "      <th>open_sun_hours</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>g10001637-d10002227</td>\n",
       "      <td>Le 147</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>10 Maison Neuve, 87510 Saint-Jouvent France</td>\n",
       "      <td>45.961674</td>\n",
       "      <td>1.169131</td>\n",
       "      <td>Claimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 04:30:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 05:30:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>g10001637-d14975787</td>\n",
       "      <td>Le Saint Jouvent</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>16 Place de l Eglise, 87510 Saint-Jouvent France</td>\n",
       "      <td>45.957040</td>\n",
       "      <td>1.205480</td>\n",
       "      <td>Unclaimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>g10002858-d4586832</td>\n",
       "      <td>Au Bout du Pont</td>\n",
       "      <td>France</td>\n",
       "      <td>Centre-Val de Loire</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Rivarennes</td>\n",
       "      <td>2 rue des Dames, 36800 Rivarennes France</td>\n",
       "      <td>46.635895</td>\n",
       "      <td>1.386133</td>\n",
       "      <td>Claimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g10002986-d3510044</td>\n",
       "      <td>Le Relais de Naiade</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Correze</td>\n",
       "      <td>Lacelle</td>\n",
       "      <td>9 avenue Porte de la Correze 19170, 19170 Lace...</td>\n",
       "      <td>45.642610</td>\n",
       "      <td>1.824460</td>\n",
       "      <td>Claimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 05:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 02:00:00</td>\n",
       "      <td>0 days 02:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 02:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>g10022428-d9767191</td>\n",
       "      <td>Relais Du MontSeigne</td>\n",
       "      <td>France</td>\n",
       "      <td>Occitanie</td>\n",
       "      <td>Aveyron</td>\n",
       "      <td>Saint-Laurent-de-Levezou</td>\n",
       "      <td>route du Montseigne, 12620 Saint-Laurent-de-Le...</td>\n",
       "      <td>44.208860</td>\n",
       "      <td>2.960470</td>\n",
       "      <td>Unclaimed</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       restaurant_link       restaurant_name country               region  \\\n",
       "0  g10001637-d10002227                Le 147  France   Nouvelle-Aquitaine   \n",
       "1  g10001637-d14975787      Le Saint Jouvent  France   Nouvelle-Aquitaine   \n",
       "2   g10002858-d4586832       Au Bout du Pont  France  Centre-Val de Loire   \n",
       "3   g10002986-d3510044   Le Relais de Naiade  France   Nouvelle-Aquitaine   \n",
       "4   g10022428-d9767191  Relais Du MontSeigne  France            Occitanie   \n",
       "\n",
       "       province                      city  \\\n",
       "0  Haute-Vienne             Saint-Jouvent   \n",
       "1  Haute-Vienne             Saint-Jouvent   \n",
       "2         Berry                Rivarennes   \n",
       "3       Correze                   Lacelle   \n",
       "4       Aveyron  Saint-Laurent-de-Levezou   \n",
       "\n",
       "                                             address   latitude  longitude  \\\n",
       "0        10 Maison Neuve, 87510 Saint-Jouvent France  45.961674   1.169131   \n",
       "1   16 Place de l Eglise, 87510 Saint-Jouvent France  45.957040   1.205480   \n",
       "2           2 rue des Dames, 36800 Rivarennes France  46.635895   1.386133   \n",
       "3  9 avenue Porte de la Correze 19170, 19170 Lace...  45.642610   1.824460   \n",
       "4  route du Montseigne, 12620 Saint-Laurent-de-Le...  44.208860   2.960470   \n",
       "\n",
       "     claimed  ... max_break_hours max_no_weekend_hours max_weekend_hours  \\\n",
       "0    Claimed  ... 0 days 04:30:00      0 days 08:30:00   0 days 08:30:00   \n",
       "1  Unclaimed  ... 0 days 04:00:00      0 days 06:00:00   0 days 06:00:00   \n",
       "2    Claimed  ... 0 days 00:00:00      0 days 04:00:00   0 days 04:00:00   \n",
       "3    Claimed  ... 0 days 05:00:00      0 days 04:00:00   0 days 04:00:00   \n",
       "4  Unclaimed  ... 0 days 00:00:00      0 days 12:00:00   0 days 08:00:00   \n",
       "\n",
       "   open_mon_hours  open_tue_hours  open_wed_hours  open_thu_hours  \\\n",
       "0 0 days 05:30:00 0 days 08:00:00 0 days 08:00:00 0 days 08:00:00   \n",
       "1 0 days 00:00:00 0 days 00:00:00 0 days 06:00:00 0 days 06:00:00   \n",
       "2 0 days 00:00:00 0 days 04:00:00 0 days 04:00:00 0 days 04:00:00   \n",
       "3 0 days 00:00:00 0 days 00:00:00 0 days 02:00:00 0 days 02:00:00   \n",
       "4 0 days 00:00:00 0 days 07:00:00 0 days 07:00:00 0 days 12:00:00   \n",
       "\n",
       "   open_fri_hours  open_sat_hours  open_sun_hours  \n",
       "0 0 days 08:30:00 0 days 08:30:00 0 days 07:00:00  \n",
       "1 0 days 06:00:00 0 days 06:00:00 0 days 06:00:00  \n",
       "2 0 days 04:00:00 0 days 04:00:00 0 days 04:00:00  \n",
       "3 0 days 04:00:00 0 days 02:00:00 0 days 04:00:00  \n",
       "4 0 days 12:00:00 0 days 07:00:00 0 days 08:00:00  \n",
       "\n",
       "[5 rows x 60 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schedule_df = rest_df_upd[['restaurant_link','original_open_hours']].dropna().reset_index(drop=True)\n",
    "schedule_df = schedule_df['original_open_hours'].apply(lambda x: pd.Series(new_schedule_parameters(dict_by_cell(x))))\n",
    "schedule_df2 = rest_df_upd[['restaurant_link']].merge(schedule_df, left_index=True, right_index=True)\n",
    "\n",
    "rest_df_upd = rest_df_upd.merge(schedule_df2, on='restaurant_link', how='left')\n",
    "rest_df_upd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "aa54e090",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['restaurant_link', 'min_open_dttm', 'min_open_sec', 'max_close_dttm',\n",
       "       'max_close_sec', 'break_flg', 'max_break_hours', 'max_no_weekend_hours',\n",
       "       'max_weekend_hours', 'open_mon_hours', 'open_tue_hours',\n",
       "       'open_wed_hours', 'open_thu_hours', 'open_fri_hours', 'open_sat_hours',\n",
       "       'open_sun_hours'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schedule_df2.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "bf95bd49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>restaurant_link</th>\n",
       "      <th>min_open_dttm</th>\n",
       "      <th>min_open_sec</th>\n",
       "      <th>max_close_dttm</th>\n",
       "      <th>max_close_sec</th>\n",
       "      <th>break_flg</th>\n",
       "      <th>max_break_hours</th>\n",
       "      <th>max_no_weekend_hours</th>\n",
       "      <th>country</th>\n",
       "      <th>avg_rating</th>\n",
       "      <th>total_reviews_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>g10001637-d10002227</td>\n",
       "      <td>2022-01-01 09:00:00</td>\n",
       "      <td>1.641013e+09</td>\n",
       "      <td>2022-01-01 22:00:00</td>\n",
       "      <td>1.641060e+09</td>\n",
       "      <td>True</td>\n",
       "      <td>0 days 04:30:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>France</td>\n",
       "      <td>4.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>g10001637-d14975787</td>\n",
       "      <td>2022-01-01 12:00:00</td>\n",
       "      <td>1.641024e+09</td>\n",
       "      <td>2022-01-01 22:00:00</td>\n",
       "      <td>1.641060e+09</td>\n",
       "      <td>True</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>France</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>g10002858-d4586832</td>\n",
       "      <td>2022-01-01 10:00:00</td>\n",
       "      <td>1.641017e+09</td>\n",
       "      <td>2022-01-01 14:00:00</td>\n",
       "      <td>1.641031e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>France</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g10002986-d3510044</td>\n",
       "      <td>2022-01-01 12:00:00</td>\n",
       "      <td>1.641024e+09</td>\n",
       "      <td>2022-01-01 21:00:00</td>\n",
       "      <td>1.641056e+09</td>\n",
       "      <td>True</td>\n",
       "      <td>0 days 05:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>France</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>g10022428-d9767191</td>\n",
       "      <td>2022-01-01 09:00:00</td>\n",
       "      <td>1.641013e+09</td>\n",
       "      <td>2022-01-01 23:45:00</td>\n",
       "      <td>1.641066e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>France</td>\n",
       "      <td>4.5</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593827</th>\n",
       "      <td>g1916708-d23228508</td>\n",
       "      <td>2022-01-01 10:00:00</td>\n",
       "      <td>1.641017e+09</td>\n",
       "      <td>2022-01-02 00:00:00</td>\n",
       "      <td>1.641067e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 14:00:00</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593828</th>\n",
       "      <td>g1916708-d3650547</td>\n",
       "      <td>2022-01-01 10:00:00</td>\n",
       "      <td>1.641017e+09</td>\n",
       "      <td>2022-01-01 23:45:00</td>\n",
       "      <td>1.641066e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 13:45:00</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>126.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593829</th>\n",
       "      <td>g1916708-d4374352</td>\n",
       "      <td>2022-01-01 10:00:00</td>\n",
       "      <td>1.641017e+09</td>\n",
       "      <td>2022-01-01 22:00:00</td>\n",
       "      <td>1.641060e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593830</th>\n",
       "      <td>g1916708-d790025</td>\n",
       "      <td>2022-01-01 08:00:00</td>\n",
       "      <td>1.641010e+09</td>\n",
       "      <td>2022-01-01 22:00:00</td>\n",
       "      <td>1.641060e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 14:00:00</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>4.5</td>\n",
       "      <td>229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593831</th>\n",
       "      <td>g1916712-d10069536</td>\n",
       "      <td>2022-01-01 10:00:00</td>\n",
       "      <td>1.641017e+09</td>\n",
       "      <td>2022-01-01 21:00:00</td>\n",
       "      <td>1.641056e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 11:00:00</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>5.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593832 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            restaurant_link       min_open_dttm  min_open_sec  \\\n",
       "0       g10001637-d10002227 2022-01-01 09:00:00  1.641013e+09   \n",
       "1       g10001637-d14975787 2022-01-01 12:00:00  1.641024e+09   \n",
       "2        g10002858-d4586832 2022-01-01 10:00:00  1.641017e+09   \n",
       "3        g10002986-d3510044 2022-01-01 12:00:00  1.641024e+09   \n",
       "4        g10022428-d9767191 2022-01-01 09:00:00  1.641013e+09   \n",
       "...                     ...                 ...           ...   \n",
       "593827   g1916708-d23228508 2022-01-01 10:00:00  1.641017e+09   \n",
       "593828    g1916708-d3650547 2022-01-01 10:00:00  1.641017e+09   \n",
       "593829    g1916708-d4374352 2022-01-01 10:00:00  1.641017e+09   \n",
       "593830     g1916708-d790025 2022-01-01 08:00:00  1.641010e+09   \n",
       "593831   g1916712-d10069536 2022-01-01 10:00:00  1.641017e+09   \n",
       "\n",
       "            max_close_dttm  max_close_sec break_flg max_break_hours  \\\n",
       "0      2022-01-01 22:00:00   1.641060e+09      True 0 days 04:30:00   \n",
       "1      2022-01-01 22:00:00   1.641060e+09      True 0 days 04:00:00   \n",
       "2      2022-01-01 14:00:00   1.641031e+09     False 0 days 00:00:00   \n",
       "3      2022-01-01 21:00:00   1.641056e+09      True 0 days 05:00:00   \n",
       "4      2022-01-01 23:45:00   1.641066e+09     False 0 days 00:00:00   \n",
       "...                    ...            ...       ...             ...   \n",
       "593827 2022-01-02 00:00:00   1.641067e+09     False 0 days 00:00:00   \n",
       "593828 2022-01-01 23:45:00   1.641066e+09     False 0 days 00:00:00   \n",
       "593829 2022-01-01 22:00:00   1.641060e+09     False 0 days 00:00:00   \n",
       "593830 2022-01-01 22:00:00   1.641060e+09     False 0 days 00:00:00   \n",
       "593831 2022-01-01 21:00:00   1.641056e+09     False 0 days 00:00:00   \n",
       "\n",
       "       max_no_weekend_hours         country  avg_rating  total_reviews_count  \n",
       "0           0 days 08:30:00          France         4.0                 36.0  \n",
       "1           0 days 06:00:00          France         4.0                  5.0  \n",
       "2           0 days 04:00:00          France         5.0                 13.0  \n",
       "3           0 days 04:00:00          France         4.0                 34.0  \n",
       "4           0 days 12:00:00          France         4.5                 11.0  \n",
       "...                     ...             ...         ...                  ...  \n",
       "593827      0 days 14:00:00  United Kingdom         5.0                  2.0  \n",
       "593828      0 days 13:45:00  United Kingdom         4.0                126.0  \n",
       "593829      0 days 12:00:00  United Kingdom         4.0                 47.0  \n",
       "593830      0 days 14:00:00  United Kingdom         4.5                229.0  \n",
       "593831      0 days 11:00:00  United Kingdom         5.0                 21.0  \n",
       "\n",
       "[593832 rows x 11 columns]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schedule_df_notna = rest_df_upd[list(schedule_df2.columns) + ['country', 'avg_rating', 'total_reviews_count']][rest_df_upd['min_open_dttm'].notna()]\n",
    "schedule_df_notna\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "5232c304",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 177 MB\n",
    "# schedule_df_notna.to_csv('restaurant_schedule_base.csv', sep=';', encoding='utf-8', index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4506bedb",
   "metadata": {},
   "source": [
    "### 1.2.6. Dropping unnecessary columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "b9553518",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['restaurant_link', 'restaurant_name', 'country', 'region', 'province',\n",
       "       'city', 'address', 'latitude', 'longitude', 'claimed', 'awards',\n",
       "       'popularity_detailed', 'popularity_generic', 'top_tags', 'price_level',\n",
       "       'price_range', 'meals', 'cuisines', 'special_diets', 'features',\n",
       "       'vegetarian_friendly', 'vegan_options', 'gluten_free',\n",
       "       'original_open_hours', 'open_days_per_week', 'open_hours_per_week',\n",
       "       'working_shifts_per_week', 'avg_rating', 'total_reviews_count',\n",
       "       'default_language', 'reviews_count_in_default_language', 'excellent',\n",
       "       'very_good', 'average', 'poor', 'terrible', 'food', 'service', 'value',\n",
       "       'atmosphere', 'keywords', 'country_origin', 'subregion', 'price_min',\n",
       "       'price_max', 'min_open_dttm', 'min_open_sec', 'max_close_dttm',\n",
       "       'max_close_sec', 'break_flg', 'max_break_hours', 'max_no_weekend_hours',\n",
       "       'max_weekend_hours', 'open_mon_hours', 'open_tue_hours',\n",
       "       'open_wed_hours', 'open_thu_hours', 'open_fri_hours', 'open_sat_hours',\n",
       "       'open_sun_hours'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df_upd.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "fc5aeb43",
   "metadata": {},
   "outputs": [],
   "source": [
    "drop_columns = [\n",
    "    'restaurant_name',\n",
    "#     'original_location', # already deleted\n",
    "    'address',\n",
    "    'claimed',\n",
    "    'awards',\n",
    "    'popularity_detailed',\n",
    "    'popularity_generic',\n",
    "    'top_tags',\n",
    "    'price_range', # replaced with numerical\n",
    "    'original_open_hours', # replaced with datetime\n",
    "    'open_days_per_week',\n",
    "    'open_hours_per_week',\n",
    "    'working_shifts_per_week',\n",
    "    \n",
    "    'vegetarian_friendly','vegan_options','gluten_free', # duplicated in 'special_diets'\n",
    "\n",
    "    'excellent','very_good','average','poor','terrible',\n",
    "    'food','service','value','atmosphere',\n",
    "    'default_language',\n",
    "    'reviews_count_in_default_language',\n",
    "    'keywords',  # a lot of NaN\n",
    "    \n",
    "    'country_origin', 'subregion',\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "e533784d",
   "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>restaurant_link</th>\n",
       "      <th>country</th>\n",
       "      <th>region</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>price_level</th>\n",
       "      <th>meals</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>...</th>\n",
       "      <th>max_break_hours</th>\n",
       "      <th>max_no_weekend_hours</th>\n",
       "      <th>max_weekend_hours</th>\n",
       "      <th>open_mon_hours</th>\n",
       "      <th>open_tue_hours</th>\n",
       "      <th>open_wed_hours</th>\n",
       "      <th>open_thu_hours</th>\n",
       "      <th>open_fri_hours</th>\n",
       "      <th>open_sat_hours</th>\n",
       "      <th>open_sun_hours</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>g10001637-d10002227</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>45.961674</td>\n",
       "      <td>1.169131</td>\n",
       "      <td>€</td>\n",
       "      <td>Lunch, Dinner</td>\n",
       "      <td>French</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 04:30:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 05:30:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 08:30:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>g10001637-d14975787</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>45.957040</td>\n",
       "      <td>1.205480</td>\n",
       "      <td>€</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "      <td>0 days 06:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>g10002858-d4586832</td>\n",
       "      <td>France</td>\n",
       "      <td>Centre-Val de Loire</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Rivarennes</td>\n",
       "      <td>46.635895</td>\n",
       "      <td>1.386133</td>\n",
       "      <td>€</td>\n",
       "      <td>Dinner, Lunch, Drinks</td>\n",
       "      <td>French, European</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g10002986-d3510044</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Correze</td>\n",
       "      <td>Lacelle</td>\n",
       "      <td>45.642610</td>\n",
       "      <td>1.824460</td>\n",
       "      <td>€</td>\n",
       "      <td>Lunch, Dinner</td>\n",
       "      <td>French</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 05:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 02:00:00</td>\n",
       "      <td>0 days 02:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "      <td>0 days 02:00:00</td>\n",
       "      <td>0 days 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>g10022428-d9767191</td>\n",
       "      <td>France</td>\n",
       "      <td>Occitanie</td>\n",
       "      <td>Aveyron</td>\n",
       "      <td>Saint-Laurent-de-Levezou</td>\n",
       "      <td>44.208860</td>\n",
       "      <td>2.960470</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>Lunch, Dinner</td>\n",
       "      <td>French</td>\n",
       "      <td>...</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>0 days 12:00:00</td>\n",
       "      <td>0 days 07:00:00</td>\n",
       "      <td>0 days 08:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       restaurant_link country               region      province  \\\n",
       "0  g10001637-d10002227  France   Nouvelle-Aquitaine  Haute-Vienne   \n",
       "1  g10001637-d14975787  France   Nouvelle-Aquitaine  Haute-Vienne   \n",
       "2   g10002858-d4586832  France  Centre-Val de Loire         Berry   \n",
       "3   g10002986-d3510044  France   Nouvelle-Aquitaine       Correze   \n",
       "4   g10022428-d9767191  France            Occitanie       Aveyron   \n",
       "\n",
       "                       city   latitude  longitude price_level  \\\n",
       "0             Saint-Jouvent  45.961674   1.169131           €   \n",
       "1             Saint-Jouvent  45.957040   1.205480           €   \n",
       "2                Rivarennes  46.635895   1.386133           €   \n",
       "3                   Lacelle  45.642610   1.824460           €   \n",
       "4  Saint-Laurent-de-Levezou  44.208860   2.960470      €€-€€€   \n",
       "\n",
       "                   meals          cuisines  ... max_break_hours  \\\n",
       "0          Lunch, Dinner            French  ... 0 days 04:30:00   \n",
       "1                    NaN               NaN  ... 0 days 04:00:00   \n",
       "2  Dinner, Lunch, Drinks  French, European  ... 0 days 00:00:00   \n",
       "3          Lunch, Dinner            French  ... 0 days 05:00:00   \n",
       "4          Lunch, Dinner            French  ... 0 days 00:00:00   \n",
       "\n",
       "  max_no_weekend_hours  max_weekend_hours  open_mon_hours  open_tue_hours  \\\n",
       "0      0 days 08:30:00    0 days 08:30:00 0 days 05:30:00 0 days 08:00:00   \n",
       "1      0 days 06:00:00    0 days 06:00:00 0 days 00:00:00 0 days 00:00:00   \n",
       "2      0 days 04:00:00    0 days 04:00:00 0 days 00:00:00 0 days 04:00:00   \n",
       "3      0 days 04:00:00    0 days 04:00:00 0 days 00:00:00 0 days 00:00:00   \n",
       "4      0 days 12:00:00    0 days 08:00:00 0 days 00:00:00 0 days 07:00:00   \n",
       "\n",
       "   open_wed_hours  open_thu_hours  open_fri_hours  open_sat_hours  \\\n",
       "0 0 days 08:00:00 0 days 08:00:00 0 days 08:30:00 0 days 08:30:00   \n",
       "1 0 days 06:00:00 0 days 06:00:00 0 days 06:00:00 0 days 06:00:00   \n",
       "2 0 days 04:00:00 0 days 04:00:00 0 days 04:00:00 0 days 04:00:00   \n",
       "3 0 days 02:00:00 0 days 02:00:00 0 days 04:00:00 0 days 02:00:00   \n",
       "4 0 days 07:00:00 0 days 12:00:00 0 days 12:00:00 0 days 07:00:00   \n",
       "\n",
       "   open_sun_hours  \n",
       "0 0 days 07:00:00  \n",
       "1 0 days 06:00:00  \n",
       "2 0 days 04:00:00  \n",
       "3 0 days 04:00:00  \n",
       "4 0 days 08:00:00  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df_short = rest_df_upd.drop(drop_columns, axis=1)\n",
    "rest_df_short.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "8461e0f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['restaurant_link', 'country', 'region', 'province', 'city', 'latitude',\n",
       "       'longitude', 'price_level', 'meals', 'cuisines', 'special_diets',\n",
       "       'features', 'avg_rating', 'total_reviews_count', 'price_min',\n",
       "       'price_max', 'min_open_dttm', 'min_open_sec', 'max_close_dttm',\n",
       "       'max_close_sec', 'break_flg', 'max_break_hours', 'max_no_weekend_hours',\n",
       "       'max_weekend_hours', 'open_mon_hours', 'open_tue_hours',\n",
       "       'open_wed_hours', 'open_thu_hours', 'open_fri_hours', 'open_sat_hours',\n",
       "       'open_sun_hours'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df_short.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "0ddbc641",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dummies without not popular options of feature columns\n",
    "\n",
    "# def features_to_flags(df, feature_col_list, threshold):\n",
    "#     for col in feature_col_list:\n",
    "#         top_tags = [f[0] for f in rating_of_column_values(df, col, separator=', ') if f[1] >= threshold * len(df)]\n",
    "#         for t in top_tags:\n",
    "#             df[col + '_' + t] = df[col].apply(lambda x: 1 if t in str(x) else 0)\n",
    "#         df = df.drop(col, axis=1)\n",
    "#     return df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "6e264d23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(198446, 40)\n"
     ]
    }
   ],
   "source": [
    "rest_df_short_test = rest_df_short[list(rest_df_short)]\n",
    "rest_df_short_test = rest_df_short_test.dropna(subset = ['price_level', 'meals', 'cuisines', 'features'])\n",
    "\n",
    "# split these feature columns by comma and get dumimes\n",
    "rest_df_short_test = features_to_flags(rest_df_short_test, ['meals', 'special_diets'], 0)\n",
    "\n",
    "print(rest_df_short_test.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "7b39b604",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['restaurant_link', 'country', 'region', 'province', 'city', 'latitude',\n",
       "       'longitude', 'price_level', 'cuisines', 'features', 'avg_rating',\n",
       "       'total_reviews_count', 'price_min', 'price_max', 'min_open_dttm',\n",
       "       'min_open_sec', 'max_close_dttm', 'max_close_sec', 'break_flg',\n",
       "       'max_break_hours', 'max_no_weekend_hours', 'max_weekend_hours',\n",
       "       'open_mon_hours', 'open_tue_hours', 'open_wed_hours', 'open_thu_hours',\n",
       "       'open_fri_hours', 'open_sat_hours', 'open_sun_hours', 'meals_Dinner',\n",
       "       'meals_Lunch', 'meals_Breakfast', 'meals_Drinks', 'meals_Brunch',\n",
       "       'meals_After-hours', 'special_diets_Vegetarian Friendly',\n",
       "       'special_diets_Gluten Free Options', 'special_diets_Vegan Options',\n",
       "       'special_diets_Halal', 'special_diets_Kosher'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df_short_test.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "30ad1651",
   "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>restaurant_link</th>\n",
       "      <th>country</th>\n",
       "      <th>region</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>price_level</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>features</th>\n",
       "      <th>...</th>\n",
       "      <th>meals_Lunch</th>\n",
       "      <th>meals_Breakfast</th>\n",
       "      <th>meals_Drinks</th>\n",
       "      <th>meals_Brunch</th>\n",
       "      <th>meals_After-hours</th>\n",
       "      <th>special_diets_Vegetarian Friendly</th>\n",
       "      <th>special_diets_Gluten Free Options</th>\n",
       "      <th>special_diets_Vegan Options</th>\n",
       "      <th>special_diets_Halal</th>\n",
       "      <th>special_diets_Kosher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>g10001637-d10002227</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Haute-Vienne</td>\n",
       "      <td>Saint-Jouvent</td>\n",
       "      <td>45.961674</td>\n",
       "      <td>1.169131</td>\n",
       "      <td>€</td>\n",
       "      <td>French</td>\n",
       "      <td>Reservations, Seating, Wheelchair Accessible, ...</td>\n",
       "      <td>...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>g10002858-d4586832</td>\n",
       "      <td>France</td>\n",
       "      <td>Centre-Val de Loire</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Rivarennes</td>\n",
       "      <td>46.635895</td>\n",
       "      <td>1.386133</td>\n",
       "      <td>€</td>\n",
       "      <td>French, European</td>\n",
       "      <td>Reservations, Seating, Table Service, Wheelcha...</td>\n",
       "      <td>...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>g10002986-d3510044</td>\n",
       "      <td>France</td>\n",
       "      <td>Nouvelle-Aquitaine</td>\n",
       "      <td>Correze</td>\n",
       "      <td>Lacelle</td>\n",
       "      <td>45.642610</td>\n",
       "      <td>1.824460</td>\n",
       "      <td>€</td>\n",
       "      <td>French</td>\n",
       "      <td>Reservations, Seating, Serves Alcohol, Table S...</td>\n",
       "      <td>...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>g10022428-d9767191</td>\n",
       "      <td>France</td>\n",
       "      <td>Occitanie</td>\n",
       "      <td>Aveyron</td>\n",
       "      <td>Saint-Laurent-de-Levezou</td>\n",
       "      <td>44.208860</td>\n",
       "      <td>2.960470</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>French</td>\n",
       "      <td>Reservations, Seating, Wheelchair Accessible, ...</td>\n",
       "      <td>...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>g10055971-d10040330</td>\n",
       "      <td>France</td>\n",
       "      <td>Auvergne-Rhone-Alpes</td>\n",
       "      <td>Ain</td>\n",
       "      <td>Journans</td>\n",
       "      <td>46.144340</td>\n",
       "      <td>5.331200</td>\n",
       "      <td>€€-€€€</td>\n",
       "      <td>French</td>\n",
       "      <td>Reservations, Seating, Table Service, Serves A...</td>\n",
       "      <td>...</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        restaurant_link country                region      province  \\\n",
       "0   g10001637-d10002227  France    Nouvelle-Aquitaine  Haute-Vienne   \n",
       "2    g10002858-d4586832  France   Centre-Val de Loire         Berry   \n",
       "3    g10002986-d3510044  France    Nouvelle-Aquitaine       Correze   \n",
       "4    g10022428-d9767191  France             Occitanie       Aveyron   \n",
       "10  g10055971-d10040330  France  Auvergne-Rhone-Alpes           Ain   \n",
       "\n",
       "                        city   latitude  longitude price_level  \\\n",
       "0              Saint-Jouvent  45.961674   1.169131           €   \n",
       "2                 Rivarennes  46.635895   1.386133           €   \n",
       "3                    Lacelle  45.642610   1.824460           €   \n",
       "4   Saint-Laurent-de-Levezou  44.208860   2.960470      €€-€€€   \n",
       "10                  Journans  46.144340   5.331200      €€-€€€   \n",
       "\n",
       "            cuisines                                           features  ...  \\\n",
       "0             French  Reservations, Seating, Wheelchair Accessible, ...  ...   \n",
       "2   French, European  Reservations, Seating, Table Service, Wheelcha...  ...   \n",
       "3             French  Reservations, Seating, Serves Alcohol, Table S...  ...   \n",
       "4             French  Reservations, Seating, Wheelchair Accessible, ...  ...   \n",
       "10            French  Reservations, Seating, Table Service, Serves A...  ...   \n",
       "\n",
       "    meals_Lunch  meals_Breakfast  meals_Drinks  meals_Brunch  \\\n",
       "0             1                0             0             0   \n",
       "2             1                0             1             0   \n",
       "3             1                0             0             0   \n",
       "4             1                0             0             0   \n",
       "10            1                0             0             0   \n",
       "\n",
       "   meals_After-hours  special_diets_Vegetarian Friendly  \\\n",
       "0                  0                                  0   \n",
       "2                  0                                  0   \n",
       "3                  0                                  0   \n",
       "4                  0                                  0   \n",
       "10                 0                                  0   \n",
       "\n",
       "   special_diets_Gluten Free Options  special_diets_Vegan Options  \\\n",
       "0                                  0                            0   \n",
       "2                                  0                            0   \n",
       "3                                  0                            0   \n",
       "4                                  0                            0   \n",
       "10                                 0                            0   \n",
       "\n",
       "   special_diets_Halal special_diets_Kosher  \n",
       "0                    0                    0  \n",
       "2                    0                    0  \n",
       "3                    0                    0  \n",
       "4                    0                    0  \n",
       "10                   0                    0  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest_df_short_test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb469f0e",
   "metadata": {},
   "source": [
    "<a id=\"base\"></a>\n",
    "\n",
    "# 2. Saving the base dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "89e8c888",
   "metadata": {},
   "outputs": [],
   "source": [
    "rest_df_short_test.to_csv('restaurant_base.csv', sep=';', encoding='utf-8', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2824a3ce",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47c8be70",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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