Cognifz Technologies task-1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03fcc02b",
   "metadata": {},
   "outputs": [],
   "source": [
    "**Task - 1**    \n",
    "***(Top Cuisines)***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "30490436",
   "metadata": {},
   "outputs": [],
   "source": [
    "**Determine the top 3 most common cuisines from a dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "26320178",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: pandas in c:\\programdata\\anaconda3\\lib\\site-packages (1.5.3)\n",
      "Requirement already satisfied: numpy>=1.21.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (1.23.5)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2022.7)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: six>=1.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pandas\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d057e3e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d1b7f34e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Dataset.csv1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a5f77e11",
   "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>ï»¿Restaurant ID</th>\n",
       "      <th>Restaurant Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>City</th>\n",
       "      <th>Address</th>\n",
       "      <th>Locality</th>\n",
       "      <th>Locality Verbose</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Cuisines</th>\n",
       "      <th>...</th>\n",
       "      <th>Currency</th>\n",
       "      <th>Has Table booking</th>\n",
       "      <th>Has Online delivery</th>\n",
       "      <th>Is delivering now</th>\n",
       "      <th>Switch to order menu</th>\n",
       "      <th>Price range</th>\n",
       "      <th>Aggregate rating</th>\n",
       "      <th>Rating color</th>\n",
       "      <th>Rating text</th>\n",
       "      <th>Votes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6317637</td>\n",
       "      <td>Le Petit Souffle</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Third Floor, Century City Mall, Kalayaan Avenu...</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City, Mak...</td>\n",
       "      <td>121.027535</td>\n",
       "      <td>14.565443</td>\n",
       "      <td>French, Japanese, Desserts</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6304287</td>\n",
       "      <td>Izakaya Kikufuji</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Little Tokyo, 2277 Chino Roces Avenue, Legaspi...</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City, Ma...</td>\n",
       "      <td>121.014101</td>\n",
       "      <td>14.553708</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6300002</td>\n",
       "      <td>Heat - Edsa Shangri-La</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...</td>\n",
       "      <td>121.056831</td>\n",
       "      <td>14.581404</td>\n",
       "      <td>Seafood, Asian, Filipino, Indian</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6318506</td>\n",
       "      <td>Ooma</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Fashion Hall, SM Megamall, O...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.056475</td>\n",
       "      <td>14.585318</td>\n",
       "      <td>Japanese, Sushi</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6314302</td>\n",
       "      <td>Sambo Kojin</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Atrium, SM Megamall, Ortigas...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.057508</td>\n",
       "      <td>14.584450</td>\n",
       "      <td>Japanese, Korean</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9546</th>\n",
       "      <td>5915730</td>\n",
       "      <td>NamlÛ± Gurme</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...</td>\n",
       "      <td>Karakï¿½_y</td>\n",
       "      <td>Karakï¿½_y, ï¿½ï¿½stanbul</td>\n",
       "      <td>28.977392</td>\n",
       "      <td>41.022793</td>\n",
       "      <td>Turkish</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.1</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9547</th>\n",
       "      <td>5908749</td>\n",
       "      <td>Ceviz Aï¿½ï¿½acÛ±</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...</td>\n",
       "      <td>Koï¿½ï¿½uyolu</td>\n",
       "      <td>Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.041297</td>\n",
       "      <td>41.009847</td>\n",
       "      <td>World Cuisine, Patisserie, Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.2</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>1034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9548</th>\n",
       "      <td>5915807</td>\n",
       "      <td>Huqqa</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.034640</td>\n",
       "      <td>41.055817</td>\n",
       "      <td>Italian, World Cuisine</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>Yellow</td>\n",
       "      <td>Good</td>\n",
       "      <td>661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9549</th>\n",
       "      <td>5916112</td>\n",
       "      <td>Aï¿½ï¿½ï¿½k Kahve</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.036019</td>\n",
       "      <td>41.057979</td>\n",
       "      <td>Restaurant Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9550</th>\n",
       "      <td>5927402</td>\n",
       "      <td>Walter's Coffee Roastery</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...</td>\n",
       "      <td>Moda</td>\n",
       "      <td>Moda, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.026016</td>\n",
       "      <td>40.984776</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9551 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ï»¿Restaurant ID           Restaurant Name  Country Code  \\\n",
       "0              6317637          Le Petit Souffle           162   \n",
       "1              6304287          Izakaya Kikufuji           162   \n",
       "2              6300002    Heat - Edsa Shangri-La           162   \n",
       "3              6318506                      Ooma           162   \n",
       "4              6314302               Sambo Kojin           162   \n",
       "...                ...                       ...           ...   \n",
       "9546           5915730              NamlÛ± Gurme           208   \n",
       "9547           5908749         Ceviz Aï¿½ï¿½acÛ±           208   \n",
       "9548           5915807                     Huqqa           208   \n",
       "9549           5916112         Aï¿½ï¿½ï¿½k Kahve           208   \n",
       "9550           5927402  Walter's Coffee Roastery           208   \n",
       "\n",
       "                  City                                            Address  \\\n",
       "0          Makati City  Third Floor, Century City Mall, Kalayaan Avenu...   \n",
       "1          Makati City  Little Tokyo, 2277 Chino Roces Avenue, Legaspi...   \n",
       "2     Mandaluyong City  Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...   \n",
       "3     Mandaluyong City  Third Floor, Mega Fashion Hall, SM Megamall, O...   \n",
       "4     Mandaluyong City  Third Floor, Mega Atrium, SM Megamall, Ortigas...   \n",
       "...                ...                                                ...   \n",
       "9546     ï¿½ï¿½stanbul  Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...   \n",
       "9547     ï¿½ï¿½stanbul  Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...   \n",
       "9548     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9549     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9550     ï¿½ï¿½stanbul  Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...   \n",
       "\n",
       "                                        Locality  \\\n",
       "0      Century City Mall, Poblacion, Makati City   \n",
       "1     Little Tokyo, Legaspi Village, Makati City   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City   \n",
       "3         SM Megamall, Ortigas, Mandaluyong City   \n",
       "4         SM Megamall, Ortigas, Mandaluyong City   \n",
       "...                                          ...   \n",
       "9546                                  Karakï¿½_y   \n",
       "9547                               Koï¿½ï¿½uyolu   \n",
       "9548                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9549                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9550                                        Moda   \n",
       "\n",
       "                                       Locality Verbose   Longitude  \\\n",
       "0     Century City Mall, Poblacion, Makati City, Mak...  121.027535   \n",
       "1     Little Tokyo, Legaspi Village, Makati City, Ma...  121.014101   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...  121.056831   \n",
       "3     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.056475   \n",
       "4     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.057508   \n",
       "...                                                 ...         ...   \n",
       "9546                          Karakï¿½_y, ï¿½ï¿½stanbul   28.977392   \n",
       "9547                       Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul   29.041297   \n",
       "9548                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.034640   \n",
       "9549                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.036019   \n",
       "9550                                Moda, ï¿½ï¿½stanbul   29.026016   \n",
       "\n",
       "       Latitude                          Cuisines  ...          Currency  \\\n",
       "0     14.565443        French, Japanese, Desserts  ...  Botswana Pula(P)   \n",
       "1     14.553708                          Japanese  ...  Botswana Pula(P)   \n",
       "2     14.581404  Seafood, Asian, Filipino, Indian  ...  Botswana Pula(P)   \n",
       "3     14.585318                   Japanese, Sushi  ...  Botswana Pula(P)   \n",
       "4     14.584450                  Japanese, Korean  ...  Botswana Pula(P)   \n",
       "...         ...                               ...  ...               ...   \n",
       "9546  41.022793                           Turkish  ...  Turkish Lira(TL)   \n",
       "9547  41.009847   World Cuisine, Patisserie, Cafe  ...  Turkish Lira(TL)   \n",
       "9548  41.055817            Italian, World Cuisine  ...  Turkish Lira(TL)   \n",
       "9549  41.057979                   Restaurant Cafe  ...  Turkish Lira(TL)   \n",
       "9550  40.984776                              Cafe  ...  Turkish Lira(TL)   \n",
       "\n",
       "     Has Table booking Has Online delivery Is delivering now  \\\n",
       "0                  Yes                  No                No   \n",
       "1                  Yes                  No                No   \n",
       "2                  Yes                  No                No   \n",
       "3                   No                  No                No   \n",
       "4                  Yes                  No                No   \n",
       "...                ...                 ...               ...   \n",
       "9546                No                  No                No   \n",
       "9547                No                  No                No   \n",
       "9548                No                  No                No   \n",
       "9549                No                  No                No   \n",
       "9550                No                  No                No   \n",
       "\n",
       "     Switch to order menu Price range  Aggregate rating  Rating color  \\\n",
       "0                      No           3               4.8    Dark Green   \n",
       "1                      No           3               4.5    Dark Green   \n",
       "2                      No           4               4.4         Green   \n",
       "3                      No           4               4.9    Dark Green   \n",
       "4                      No           4               4.8    Dark Green   \n",
       "...                   ...         ...               ...           ...   \n",
       "9546                   No           3               4.1         Green   \n",
       "9547                   No           3               4.2         Green   \n",
       "9548                   No           4               3.7        Yellow   \n",
       "9549                   No           4               4.0         Green   \n",
       "9550                   No           2               4.0         Green   \n",
       "\n",
       "     Rating text Votes  \n",
       "0      Excellent   314  \n",
       "1      Excellent   591  \n",
       "2      Very Good   270  \n",
       "3      Excellent   365  \n",
       "4      Excellent   229  \n",
       "...          ...   ...  \n",
       "9546   Very Good   788  \n",
       "9547   Very Good  1034  \n",
       "9548        Good   661  \n",
       "9549   Very Good   901  \n",
       "9550   Very Good   591  \n",
       "\n",
       "[9551 rows x 21 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0efcdea7",
   "metadata": {},
   "outputs": [],
   "source": [
    "cuisine_counts = df['Cuisines'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "51ae932c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "North Indian                                             936\n",
       "North Indian, Chinese                                    511\n",
       "Chinese                                                  354\n",
       "Fast Food                                                354\n",
       "North Indian, Mughlai                                    334\n",
       "                                                        ... \n",
       "Bengali, Fast Food                                         1\n",
       "North Indian, Rajasthani, Asian                            1\n",
       "Chinese, Thai, Malaysian, Indonesian                       1\n",
       "Bakery, Desserts, North Indian, Bengali, South Indian      1\n",
       "Italian, World Cuisine                                     1\n",
       "Name: Cuisines, Length: 1825, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cuisine_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ba9aed22",
   "metadata": {},
   "outputs": [],
   "source": [
    "sorted_cuisines = cuisine_counts.sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "96b6619d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "North Indian                                     936\n",
       "North Indian, Chinese                            511\n",
       "Chinese                                          354\n",
       "Fast Food                                        354\n",
       "North Indian, Mughlai                            334\n",
       "                                                ... \n",
       "Cafe, Mexican, Italian, North Indian, Chinese      1\n",
       "Continental, Mexican                               1\n",
       "Continental, Chinese, Italian, Cafe                1\n",
       "Hyderabadi, Biryani                                1\n",
       "Italian, World Cuisine                             1\n",
       "Name: Cuisines, Length: 1825, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_cuisines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "de679eab",
   "metadata": {},
   "outputs": [],
   "source": [
    "top_three_cuisines = sorted_cuisines.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9d27f824",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top Three Cuisines:\n",
      "North Indian             936\n",
      "North Indian, Chinese    511\n",
      "Chinese                  354\n",
      "Name: Cuisines, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"Top Three Cuisines:\")\n",
    "print(top_three_cuisines)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4216b4ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "**Calculate the percentage of restaurants that serve each of the top cuisines from a dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "829e3c5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "North Indian: 54.02%\n",
      "North Indian, Chinese: 27.59%\n",
      "Chinese: 18.39%\n"
     ]
    }
   ],
   "source": [
    "def calculate_percentage(top_three_cuisines):\n",
    "    total_restaurants = sum(top_three_cuisines.values())\n",
    "    percentages = {}\n",
    "    \n",
    "    for cuisines, count in top_three_cuisines.items():\n",
    "        percentage = (count / total_restaurants) * 100 \n",
    "        percentages[cuisines] = percentage\n",
    "        \n",
    "    return percentages \n",
    "\n",
    "top_three_cuisines = {\n",
    "    'North Indian'         :746,\n",
    "    'North Indian, Chinese':381,\n",
    "    'Chinese'              :254,\n",
    "}\n",
    "\n",
    "\n",
    "result = calculate_percentage(top_three_cuisines)\n",
    "\n",
    "for cuisines, percentage in result.items():\n",
    "    print(f\"{cuisines}: {percentage:.2f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2732d25e",
   "metadata": {},
   "outputs": [],
   "source": [
    "**Task - 2**\n",
    "\n",
    "***(City Analysis)***\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70e192bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "**Identify the city with the highest number of restaurants in the dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e78ee4f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: pandas in c:\\programdata\\anaconda3\\lib\\site-packages (1.5.3)\n",
      "Requirement already satisfied: numpy>=1.21.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (1.23.5)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2022.7)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: six>=1.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d0c20794",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3da6c8ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Dataset.csv1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d6089d8d",
   "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>ï»¿Restaurant ID</th>\n",
       "      <th>Restaurant Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>City</th>\n",
       "      <th>Address</th>\n",
       "      <th>Locality</th>\n",
       "      <th>Locality Verbose</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Cuisines</th>\n",
       "      <th>...</th>\n",
       "      <th>Currency</th>\n",
       "      <th>Has Table booking</th>\n",
       "      <th>Has Online delivery</th>\n",
       "      <th>Is delivering now</th>\n",
       "      <th>Switch to order menu</th>\n",
       "      <th>Price range</th>\n",
       "      <th>Aggregate rating</th>\n",
       "      <th>Rating color</th>\n",
       "      <th>Rating text</th>\n",
       "      <th>Votes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6317637</td>\n",
       "      <td>Le Petit Souffle</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Third Floor, Century City Mall, Kalayaan Avenu...</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City, Mak...</td>\n",
       "      <td>121.027535</td>\n",
       "      <td>14.565443</td>\n",
       "      <td>French, Japanese, Desserts</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6304287</td>\n",
       "      <td>Izakaya Kikufuji</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Little Tokyo, 2277 Chino Roces Avenue, Legaspi...</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City, Ma...</td>\n",
       "      <td>121.014101</td>\n",
       "      <td>14.553708</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6300002</td>\n",
       "      <td>Heat - Edsa Shangri-La</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...</td>\n",
       "      <td>121.056831</td>\n",
       "      <td>14.581404</td>\n",
       "      <td>Seafood, Asian, Filipino, Indian</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6318506</td>\n",
       "      <td>Ooma</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Fashion Hall, SM Megamall, O...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.056475</td>\n",
       "      <td>14.585318</td>\n",
       "      <td>Japanese, Sushi</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6314302</td>\n",
       "      <td>Sambo Kojin</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Atrium, SM Megamall, Ortigas...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.057508</td>\n",
       "      <td>14.584450</td>\n",
       "      <td>Japanese, Korean</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9546</th>\n",
       "      <td>5915730</td>\n",
       "      <td>NamlÛ± Gurme</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...</td>\n",
       "      <td>Karakï¿½_y</td>\n",
       "      <td>Karakï¿½_y, ï¿½ï¿½stanbul</td>\n",
       "      <td>28.977392</td>\n",
       "      <td>41.022793</td>\n",
       "      <td>Turkish</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.1</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9547</th>\n",
       "      <td>5908749</td>\n",
       "      <td>Ceviz Aï¿½ï¿½acÛ±</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...</td>\n",
       "      <td>Koï¿½ï¿½uyolu</td>\n",
       "      <td>Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.041297</td>\n",
       "      <td>41.009847</td>\n",
       "      <td>World Cuisine, Patisserie, Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.2</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>1034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9548</th>\n",
       "      <td>5915807</td>\n",
       "      <td>Huqqa</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.034640</td>\n",
       "      <td>41.055817</td>\n",
       "      <td>Italian, World Cuisine</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>Yellow</td>\n",
       "      <td>Good</td>\n",
       "      <td>661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9549</th>\n",
       "      <td>5916112</td>\n",
       "      <td>Aï¿½ï¿½ï¿½k Kahve</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.036019</td>\n",
       "      <td>41.057979</td>\n",
       "      <td>Restaurant Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9550</th>\n",
       "      <td>5927402</td>\n",
       "      <td>Walter's Coffee Roastery</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...</td>\n",
       "      <td>Moda</td>\n",
       "      <td>Moda, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.026016</td>\n",
       "      <td>40.984776</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9551 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ï»¿Restaurant ID           Restaurant Name  Country Code  \\\n",
       "0              6317637          Le Petit Souffle           162   \n",
       "1              6304287          Izakaya Kikufuji           162   \n",
       "2              6300002    Heat - Edsa Shangri-La           162   \n",
       "3              6318506                      Ooma           162   \n",
       "4              6314302               Sambo Kojin           162   \n",
       "...                ...                       ...           ...   \n",
       "9546           5915730              NamlÛ± Gurme           208   \n",
       "9547           5908749         Ceviz Aï¿½ï¿½acÛ±           208   \n",
       "9548           5915807                     Huqqa           208   \n",
       "9549           5916112         Aï¿½ï¿½ï¿½k Kahve           208   \n",
       "9550           5927402  Walter's Coffee Roastery           208   \n",
       "\n",
       "                  City                                            Address  \\\n",
       "0          Makati City  Third Floor, Century City Mall, Kalayaan Avenu...   \n",
       "1          Makati City  Little Tokyo, 2277 Chino Roces Avenue, Legaspi...   \n",
       "2     Mandaluyong City  Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...   \n",
       "3     Mandaluyong City  Third Floor, Mega Fashion Hall, SM Megamall, O...   \n",
       "4     Mandaluyong City  Third Floor, Mega Atrium, SM Megamall, Ortigas...   \n",
       "...                ...                                                ...   \n",
       "9546     ï¿½ï¿½stanbul  Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...   \n",
       "9547     ï¿½ï¿½stanbul  Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...   \n",
       "9548     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9549     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9550     ï¿½ï¿½stanbul  Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...   \n",
       "\n",
       "                                        Locality  \\\n",
       "0      Century City Mall, Poblacion, Makati City   \n",
       "1     Little Tokyo, Legaspi Village, Makati City   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City   \n",
       "3         SM Megamall, Ortigas, Mandaluyong City   \n",
       "4         SM Megamall, Ortigas, Mandaluyong City   \n",
       "...                                          ...   \n",
       "9546                                  Karakï¿½_y   \n",
       "9547                               Koï¿½ï¿½uyolu   \n",
       "9548                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9549                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9550                                        Moda   \n",
       "\n",
       "                                       Locality Verbose   Longitude  \\\n",
       "0     Century City Mall, Poblacion, Makati City, Mak...  121.027535   \n",
       "1     Little Tokyo, Legaspi Village, Makati City, Ma...  121.014101   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...  121.056831   \n",
       "3     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.056475   \n",
       "4     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.057508   \n",
       "...                                                 ...         ...   \n",
       "9546                          Karakï¿½_y, ï¿½ï¿½stanbul   28.977392   \n",
       "9547                       Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul   29.041297   \n",
       "9548                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.034640   \n",
       "9549                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.036019   \n",
       "9550                                Moda, ï¿½ï¿½stanbul   29.026016   \n",
       "\n",
       "       Latitude                          Cuisines  ...          Currency  \\\n",
       "0     14.565443        French, Japanese, Desserts  ...  Botswana Pula(P)   \n",
       "1     14.553708                          Japanese  ...  Botswana Pula(P)   \n",
       "2     14.581404  Seafood, Asian, Filipino, Indian  ...  Botswana Pula(P)   \n",
       "3     14.585318                   Japanese, Sushi  ...  Botswana Pula(P)   \n",
       "4     14.584450                  Japanese, Korean  ...  Botswana Pula(P)   \n",
       "...         ...                               ...  ...               ...   \n",
       "9546  41.022793                           Turkish  ...  Turkish Lira(TL)   \n",
       "9547  41.009847   World Cuisine, Patisserie, Cafe  ...  Turkish Lira(TL)   \n",
       "9548  41.055817            Italian, World Cuisine  ...  Turkish Lira(TL)   \n",
       "9549  41.057979                   Restaurant Cafe  ...  Turkish Lira(TL)   \n",
       "9550  40.984776                              Cafe  ...  Turkish Lira(TL)   \n",
       "\n",
       "     Has Table booking Has Online delivery Is delivering now  \\\n",
       "0                  Yes                  No                No   \n",
       "1                  Yes                  No                No   \n",
       "2                  Yes                  No                No   \n",
       "3                   No                  No                No   \n",
       "4                  Yes                  No                No   \n",
       "...                ...                 ...               ...   \n",
       "9546                No                  No                No   \n",
       "9547                No                  No                No   \n",
       "9548                No                  No                No   \n",
       "9549                No                  No                No   \n",
       "9550                No                  No                No   \n",
       "\n",
       "     Switch to order menu Price range  Aggregate rating  Rating color  \\\n",
       "0                      No           3               4.8    Dark Green   \n",
       "1                      No           3               4.5    Dark Green   \n",
       "2                      No           4               4.4         Green   \n",
       "3                      No           4               4.9    Dark Green   \n",
       "4                      No           4               4.8    Dark Green   \n",
       "...                   ...         ...               ...           ...   \n",
       "9546                   No           3               4.1         Green   \n",
       "9547                   No           3               4.2         Green   \n",
       "9548                   No           4               3.7        Yellow   \n",
       "9549                   No           4               4.0         Green   \n",
       "9550                   No           2               4.0         Green   \n",
       "\n",
       "     Rating text Votes  \n",
       "0      Excellent   314  \n",
       "1      Excellent   591  \n",
       "2      Very Good   270  \n",
       "3      Excellent   365  \n",
       "4      Excellent   229  \n",
       "...          ...   ...  \n",
       "9546   Very Good   788  \n",
       "9547   Very Good  1034  \n",
       "9548        Good   661  \n",
       "9549   Very Good   901  \n",
       "9550   Very Good   591  \n",
       "\n",
       "[9551 rows x 21 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5d15593c",
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_count_by_city = df.groupby('City').size().reset_index(name='Restaurant_Count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "0c12f48a",
   "metadata": {},
   "outputs": [],
   "source": [
    "city_with_highest_restaurants = restaurants_count_by_city.loc[restaurants_count_by_city['Restaurant_Count'].idxmax(), 'City']\n",
    "max_restaurants_count = restaurants_count_by_city['Restaurant_Count'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9b4ac57e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The city with the highest number of restaurants is New Delhi with 5473 restaurants.\n"
     ]
    }
   ],
   "source": [
    "print(f\"The city with the highest number of restaurants is {city_with_highest_restaurants} with {max_restaurants_count} restaurants.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e78a6c8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns = df.columns.str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "dac654a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['ï»¿restaurant id', 'restaurant name', 'country code', 'city',\n",
      "       'address', 'locality', 'locality verbose', 'longitude', 'latitude',\n",
      "       'cuisines', 'average cost for two', 'currency', 'has table booking',\n",
      "       'has online delivery', 'is delivering now', 'switch to order menu',\n",
      "       'price range', 'aggregate rating', 'rating color', 'rating text',\n",
      "       'votes'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a0664594",
   "metadata": {},
   "outputs": [],
   "source": [
    "average_ratings_by_city = df.groupby('city')['aggregate rating'].mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b8cdbc01",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                city  aggregate rating\n",
      "0          Abu Dhabi          4.300000\n",
      "1               Agra          3.965000\n",
      "2          Ahmedabad          4.161905\n",
      "3             Albany          3.555000\n",
      "4          Allahabad          3.395000\n",
      "..               ...               ...\n",
      "136          Weirton          3.900000\n",
      "137  Wellington City          4.250000\n",
      "138   Winchester Bay          3.200000\n",
      "139          Yorkton          3.300000\n",
      "140    ï¿½ï¿½stanbul          4.292857\n",
      "\n",
      "[141 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "print(average_ratings_by_city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7405222c",
   "metadata": {},
   "outputs": [],
   "source": [
    "highest_rating_city = average_ratings_by_city.loc[average_ratings_by_city['aggregate rating'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "70584ce6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "city with the highest average rating:\n",
      "city                Inner City\n",
      "aggregate rating           4.9\n",
      "Name: 56, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(\"city with the highest average rating:\")\n",
    "print(highest_rating_city)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba90394d",
   "metadata": {},
   "outputs": [],
   "source": [
    "**TASK-3(Level-1) TASK: Price Range Distribution**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d4ead047",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: pandas in c:\\programdata\\anaconda3\\lib\\site-packages (1.5.3)\n",
      "Requirement already satisfied: matplotlib in c:\\programdata\\anaconda3\\lib\\site-packages (3.7.0)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: numpy>=1.21.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (1.23.5)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from pandas) (2022.7)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.0.5)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.4.4)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (22.0)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (0.11.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (3.0.9)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (9.4.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (4.25.0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pandas matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "10722450",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "361850c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Dataset.csv1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9b723eb9",
   "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>ï»¿Restaurant ID</th>\n",
       "      <th>Restaurant Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>City</th>\n",
       "      <th>Address</th>\n",
       "      <th>Locality</th>\n",
       "      <th>Locality Verbose</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Cuisines</th>\n",
       "      <th>...</th>\n",
       "      <th>Currency</th>\n",
       "      <th>Has Table booking</th>\n",
       "      <th>Has Online delivery</th>\n",
       "      <th>Is delivering now</th>\n",
       "      <th>Switch to order menu</th>\n",
       "      <th>Price range</th>\n",
       "      <th>Aggregate rating</th>\n",
       "      <th>Rating color</th>\n",
       "      <th>Rating text</th>\n",
       "      <th>Votes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6317637</td>\n",
       "      <td>Le Petit Souffle</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Third Floor, Century City Mall, Kalayaan Avenu...</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City, Mak...</td>\n",
       "      <td>121.027535</td>\n",
       "      <td>14.565443</td>\n",
       "      <td>French, Japanese, Desserts</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6304287</td>\n",
       "      <td>Izakaya Kikufuji</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Little Tokyo, 2277 Chino Roces Avenue, Legaspi...</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City, Ma...</td>\n",
       "      <td>121.014101</td>\n",
       "      <td>14.553708</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6300002</td>\n",
       "      <td>Heat - Edsa Shangri-La</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...</td>\n",
       "      <td>121.056831</td>\n",
       "      <td>14.581404</td>\n",
       "      <td>Seafood, Asian, Filipino, Indian</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6318506</td>\n",
       "      <td>Ooma</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Fashion Hall, SM Megamall, O...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.056475</td>\n",
       "      <td>14.585318</td>\n",
       "      <td>Japanese, Sushi</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6314302</td>\n",
       "      <td>Sambo Kojin</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Atrium, SM Megamall, Ortigas...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.057508</td>\n",
       "      <td>14.584450</td>\n",
       "      <td>Japanese, Korean</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9546</th>\n",
       "      <td>5915730</td>\n",
       "      <td>NamlÛ± Gurme</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...</td>\n",
       "      <td>Karakï¿½_y</td>\n",
       "      <td>Karakï¿½_y, ï¿½ï¿½stanbul</td>\n",
       "      <td>28.977392</td>\n",
       "      <td>41.022793</td>\n",
       "      <td>Turkish</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.1</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9547</th>\n",
       "      <td>5908749</td>\n",
       "      <td>Ceviz Aï¿½ï¿½acÛ±</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...</td>\n",
       "      <td>Koï¿½ï¿½uyolu</td>\n",
       "      <td>Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.041297</td>\n",
       "      <td>41.009847</td>\n",
       "      <td>World Cuisine, Patisserie, Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.2</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>1034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9548</th>\n",
       "      <td>5915807</td>\n",
       "      <td>Huqqa</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.034640</td>\n",
       "      <td>41.055817</td>\n",
       "      <td>Italian, World Cuisine</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>Yellow</td>\n",
       "      <td>Good</td>\n",
       "      <td>661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9549</th>\n",
       "      <td>5916112</td>\n",
       "      <td>Aï¿½ï¿½ï¿½k Kahve</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.036019</td>\n",
       "      <td>41.057979</td>\n",
       "      <td>Restaurant Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9550</th>\n",
       "      <td>5927402</td>\n",
       "      <td>Walter's Coffee Roastery</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...</td>\n",
       "      <td>Moda</td>\n",
       "      <td>Moda, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.026016</td>\n",
       "      <td>40.984776</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9551 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ï»¿Restaurant ID           Restaurant Name  Country Code  \\\n",
       "0              6317637          Le Petit Souffle           162   \n",
       "1              6304287          Izakaya Kikufuji           162   \n",
       "2              6300002    Heat - Edsa Shangri-La           162   \n",
       "3              6318506                      Ooma           162   \n",
       "4              6314302               Sambo Kojin           162   \n",
       "...                ...                       ...           ...   \n",
       "9546           5915730              NamlÛ± Gurme           208   \n",
       "9547           5908749         Ceviz Aï¿½ï¿½acÛ±           208   \n",
       "9548           5915807                     Huqqa           208   \n",
       "9549           5916112         Aï¿½ï¿½ï¿½k Kahve           208   \n",
       "9550           5927402  Walter's Coffee Roastery           208   \n",
       "\n",
       "                  City                                            Address  \\\n",
       "0          Makati City  Third Floor, Century City Mall, Kalayaan Avenu...   \n",
       "1          Makati City  Little Tokyo, 2277 Chino Roces Avenue, Legaspi...   \n",
       "2     Mandaluyong City  Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...   \n",
       "3     Mandaluyong City  Third Floor, Mega Fashion Hall, SM Megamall, O...   \n",
       "4     Mandaluyong City  Third Floor, Mega Atrium, SM Megamall, Ortigas...   \n",
       "...                ...                                                ...   \n",
       "9546     ï¿½ï¿½stanbul  Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...   \n",
       "9547     ï¿½ï¿½stanbul  Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...   \n",
       "9548     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9549     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9550     ï¿½ï¿½stanbul  Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...   \n",
       "\n",
       "                                        Locality  \\\n",
       "0      Century City Mall, Poblacion, Makati City   \n",
       "1     Little Tokyo, Legaspi Village, Makati City   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City   \n",
       "3         SM Megamall, Ortigas, Mandaluyong City   \n",
       "4         SM Megamall, Ortigas, Mandaluyong City   \n",
       "...                                          ...   \n",
       "9546                                  Karakï¿½_y   \n",
       "9547                               Koï¿½ï¿½uyolu   \n",
       "9548                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9549                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9550                                        Moda   \n",
       "\n",
       "                                       Locality Verbose   Longitude  \\\n",
       "0     Century City Mall, Poblacion, Makati City, Mak...  121.027535   \n",
       "1     Little Tokyo, Legaspi Village, Makati City, Ma...  121.014101   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...  121.056831   \n",
       "3     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.056475   \n",
       "4     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.057508   \n",
       "...                                                 ...         ...   \n",
       "9546                          Karakï¿½_y, ï¿½ï¿½stanbul   28.977392   \n",
       "9547                       Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul   29.041297   \n",
       "9548                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.034640   \n",
       "9549                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.036019   \n",
       "9550                                Moda, ï¿½ï¿½stanbul   29.026016   \n",
       "\n",
       "       Latitude                          Cuisines  ...          Currency  \\\n",
       "0     14.565443        French, Japanese, Desserts  ...  Botswana Pula(P)   \n",
       "1     14.553708                          Japanese  ...  Botswana Pula(P)   \n",
       "2     14.581404  Seafood, Asian, Filipino, Indian  ...  Botswana Pula(P)   \n",
       "3     14.585318                   Japanese, Sushi  ...  Botswana Pula(P)   \n",
       "4     14.584450                  Japanese, Korean  ...  Botswana Pula(P)   \n",
       "...         ...                               ...  ...               ...   \n",
       "9546  41.022793                           Turkish  ...  Turkish Lira(TL)   \n",
       "9547  41.009847   World Cuisine, Patisserie, Cafe  ...  Turkish Lira(TL)   \n",
       "9548  41.055817            Italian, World Cuisine  ...  Turkish Lira(TL)   \n",
       "9549  41.057979                   Restaurant Cafe  ...  Turkish Lira(TL)   \n",
       "9550  40.984776                              Cafe  ...  Turkish Lira(TL)   \n",
       "\n",
       "     Has Table booking Has Online delivery Is delivering now  \\\n",
       "0                  Yes                  No                No   \n",
       "1                  Yes                  No                No   \n",
       "2                  Yes                  No                No   \n",
       "3                   No                  No                No   \n",
       "4                  Yes                  No                No   \n",
       "...                ...                 ...               ...   \n",
       "9546                No                  No                No   \n",
       "9547                No                  No                No   \n",
       "9548                No                  No                No   \n",
       "9549                No                  No                No   \n",
       "9550                No                  No                No   \n",
       "\n",
       "     Switch to order menu Price range  Aggregate rating  Rating color  \\\n",
       "0                      No           3               4.8    Dark Green   \n",
       "1                      No           3               4.5    Dark Green   \n",
       "2                      No           4               4.4         Green   \n",
       "3                      No           4               4.9    Dark Green   \n",
       "4                      No           4               4.8    Dark Green   \n",
       "...                   ...         ...               ...           ...   \n",
       "9546                   No           3               4.1         Green   \n",
       "9547                   No           3               4.2         Green   \n",
       "9548                   No           4               3.7        Yellow   \n",
       "9549                   No           4               4.0         Green   \n",
       "9550                   No           2               4.0         Green   \n",
       "\n",
       "     Rating text Votes  \n",
       "0      Excellent   314  \n",
       "1      Excellent   591  \n",
       "2      Very Good   270  \n",
       "3      Excellent   365  \n",
       "4      Excellent   229  \n",
       "...          ...   ...  \n",
       "9546   Very Good   788  \n",
       "9547   Very Good  1034  \n",
       "9548        Good   661  \n",
       "9549   Very Good   901  \n",
       "9550   Very Good   591  \n",
       "\n",
       "[9551 rows x 21 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7d1a283f",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {\n",
    "    \"Restaurant Name\": [\"Restaurant A\", \"Restaurant B\", \"Restaurant C\", \"Restaurant D\", \"Restaurant E\"],\n",
    "    \"Price Range\": [2, 1, 3, 2, 3]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "061ef123",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "c05f6e55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Restaurant Name', 'Price Range'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d0b40845",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_counts = df[\"Price Range\"].value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "910b3375",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 3 artists>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PAcPss9dv/lH8rcQaxK1ag4N5/+a3kwAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkWyHmIaGBi1dulRTpkyRw+HQwYMHb3pNfX29cnJy5HK5dN9992n37t1xNX6/X5mZmXI6ncrMzNSBAwfsDg0AAIwitkNMV1eXsrKytH379n7Vt7S0aMmSJSosLFQgENCGDRv04osvyu/3R2saGxtVUlKi0tJSnT17VqWlpVqxYoVOnz5td3gAAGCUGGf3guLiYhUXF/e7fvfu3Zo2bZoqKyslSbNmzVJTU5PeeOMNPfXUU5KkyspKLVq0SF6vV5Lk9XpVX1+vyspKVVdX2x0iAAAYBW75MzGNjY0qKiqKaVu8eLGampr09ddf91lz6tSpXvvt7u5WJBKJOQAAwOhheyfGrlAopOTk5Ji25ORkXb16VZ2dnfJ4PL3WhEKhXvutqKjQpk2bbsmYv2v6+iO35e/gzvXZ608M9xAAAN9xW76d5HA4Ys4ty4pr76nmu23f5vV6FQ6Ho0dbW9sQjhgAANzpbvlOTEpKStyOSkdHh8aNG6eJEyf2WfPd3ZlvczqdcjqdQz9gAABghFu+E5Ofn6+6urqYtqNHjyo3N1fjx4/vs6agoOBWDw8AABjK9k7M5cuXdeHCheh5S0uLmpublZSUpGnTpsnr9aq9vV179+6VJJWVlWn79u0qLy/Xj3/8YzU2NqqqqirmW0dr167VggULtHnzZi1btkyHDh3SsWPH9NFHHw3BLQIAgJHI9k5MU1OTsrOzlZ2dLUkqLy9Xdna2fv7zn0uSgsGgWltbo/Xp6emqra3ViRMn9L3vfU+//OUvtW3btujXqyWpoKBA+/bt0zvvvKMHH3xQPp9PNTU1mj9//mDvDwAAjFC2d2IeffTR6IO5PfH5fHFtjzzyiP74xz/22e/TTz+tp59+2u5wAADAKMVvJwEAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIw0oxOzcuVPp6elyuVzKycnRyZMne6197rnn5HA44o7Zs2dHa3w+X481X3311UCGBwAARgHbIaampkbr1q3Txo0bFQgEVFhYqOLiYrW2tvZYv3XrVgWDwejR1tampKQk/fCHP4ypS0xMjKkLBoNyuVwDuysAADDi2Q4xb775platWqXVq1dr1qxZqqysVGpqqnbt2tVjvdvtVkpKSvRoamrSF198oR/96EcxdQ6HI6YuJSVlYHcEAABGBVsh5sqVKzpz5oyKiopi2ouKinTq1Kl+9VFVVaXHH39caWlpMe2XL19WWlqapk6dqieffFKBQKDPfrq7uxWJRGIOAAAwetgKMZ2dnbp27ZqSk5Nj2pOTkxUKhW56fTAY1AcffKDVq1fHtM+cOVM+n0+HDx9WdXW1XC6XHnroIZ0/f77XvioqKuR2u6NHamqqnVsBAACGG9CDvQ6HI+bcsqy4tp74fD7dfffdWr58eUx7Xl6ennnmGWVlZamwsFDvv/++HnjgAb311lu99uX1ehUOh6NHW1vbQG4FAAAYapyd4kmTJmns2LFxuy4dHR1xuzPfZVmW3n77bZWWliohIaHP2jFjxmju3Ll97sQ4nU45nc7+Dx4AAIwotnZiEhISlJOTo7q6upj2uro6FRQU9HltfX29Lly4oFWrVt3071iWpebmZnk8HjvDAwAAo4itnRhJKi8vV2lpqXJzc5Wfn689e/aotbVVZWVlkq5/zNPe3q69e/fGXFdVVaX58+drzpw5cX1u2rRJeXl5mjFjhiKRiLZt26bm5mbt2LFjgLcFAABGOtshpqSkRJ9//rlee+01BYNBzZkzR7W1tdFvGwWDwbj/GRMOh+X3+7V169Ye+7x48aKef/55hUIhud1uZWdnq6GhQfPmzRvALQEAgNHAdoiRpJ/85Cf6yU9+0uNrPp8vrs3tduvLL7/stb8tW7Zoy5YtAxkKAAAYpfjtJAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgpAGFmJ07dyo9PV0ul0s5OTk6efJkr7UnTpyQw+GIOz799NOYOr/fr8zMTDmdTmVmZurAgQMDGRoAABglbIeYmpoarVu3Ths3blQgEFBhYaGKi4vV2tra53Xnzp1TMBiMHjNmzIi+1tjYqJKSEpWWlurs2bMqLS3VihUrdPr0aft3BAAARgXbIebNN9/UqlWrtHr1as2aNUuVlZVKTU3Vrl27+rxu8uTJSklJiR5jx46NvlZZWalFixbJ6/Vq5syZ8nq9WrhwoSorK23fEAAAGB1shZgrV67ozJkzKioqimkvKirSqVOn+rw2OztbHo9HCxcu1PHjx2Nea2xsjOtz8eLFffbZ3d2tSCQScwAAgNHDVojp7OzUtWvXlJycHNOenJysUCjU4zUej0d79uyR3+/X/v37lZGRoYULF6qhoSFaEwqFbPUpSRUVFXK73dEjNTXVzq0AAADDjRvIRQ6HI+bcsqy4thsyMjKUkZERPc/Pz1dbW5veeOMNLViwYEB9SpLX61V5eXn0PBKJEGQAABhFbO3ETJo0SWPHjo3bIeno6IjbSelLXl6ezp8/Hz1PSUmx3afT6VRiYmLMAQAARg9bISYhIUE5OTmqq6uLaa+rq1NBQUG/+wkEAvJ4PNHz/Pz8uD6PHj1qq08AADC62P44qby8XKWlpcrNzVV+fr727Nmj1tZWlZWVSbr+MU97e7v27t0r6fo3j6ZPn67Zs2frypUrevfdd+X3++X3+6N9rl27VgsWLNDmzZu1bNkyHTp0SMeOHdNHH300RLcJAABGGtshpqSkRJ9//rlee+01BYNBzZkzR7W1tUpLS5MkBYPBmP8Zc+XKFb388stqb2/XXXfdpdmzZ+vIkSNasmRJtKagoED79u3TK6+8oldffVX333+/ampqNH/+/CG4RQAAMBI5LMuyhnsQQyESicjtdiscDg/58zHT1x8Z0v5gns9ef2JY/z5rEKxBDLdbtQYH8/7NbycBAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMNKMTs3LlT6enpcrlcysnJ0cmTJ3ut3b9/vxYtWqR7771XiYmJys/P14cffhhT4/P55HA44o6vvvpqIMMDAACjgO0QU1NTo3Xr1mnjxo0KBAIqLCxUcXGxWltbe6xvaGjQokWLVFtbqzNnzuixxx7T0qVLFQgEYuoSExMVDAZjDpfLNbC7AgAAI944uxe8+eabWrVqlVavXi1Jqqys1Icffqhdu3apoqIirr6ysjLm/Fe/+pUOHTqk3/3ud8rOzo62OxwOpaSk2B0OAAAYpWztxFy5ckVnzpxRUVFRTHtRUZFOnTrVrz6++eYbXbp0SUlJSTHtly9fVlpamqZOnaonn3wybqfmu7q7uxWJRGIOAAAwetgKMZ2dnbp27ZqSk5Nj2pOTkxUKhfrVx69//Wt1dXVpxYoV0baZM2fK5/Pp8OHDqq6ulsvl0kMPPaTz58/32k9FRYXcbnf0SE1NtXMrAADAcAN6sNfhcMScW5YV19aT6upq/eIXv1BNTY0mT54cbc/Ly9MzzzyjrKwsFRYW6v3339cDDzygt956q9e+vF6vwuFw9GhraxvIrQAAAEPZeiZm0qRJGjt2bNyuS0dHR9zuzHfV1NRo1apV+u1vf6vHH3+8z9oxY8Zo7ty5fe7EOJ1OOZ3O/g8eAACMKLZ2YhISEpSTk6O6urqY9rq6OhUUFPR6XXV1tZ577jm99957euKJJ276dyzLUnNzszwej53hAQCAUcT2t5PKy8tVWlqq3Nxc5efna8+ePWptbVVZWZmk6x/ztLe3a+/evZKuB5hnn31WW7duVV5eXnQX56677pLb7ZYkbdq0SXl5eZoxY4YikYi2bdum5uZm7dixY6juEwAAjDC2Q0xJSYk+//xzvfbaawoGg5ozZ45qa2uVlpYmSQoGgzH/M+Y3v/mNrl69qjVr1mjNmjXR9pUrV8rn80mSLl68qOeff16hUEhut1vZ2dlqaGjQvHnzBnl7AABgpHJYlmUN9yCGQiQSkdvtVjgcVmJi4pD2PX39kSHtD+b57PWbfwx6K7EGwRrEcLtVa3Aw79/8dhIAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMNKAQszOnTuVnp4ul8ulnJwcnTx5ss/6+vp65eTkyOVy6b777tPu3bvjavx+vzIzM+V0OpWZmakDBw4MZGgAAGCUsB1iampqtG7dOm3cuFGBQECFhYUqLi5Wa2trj/UtLS1asmSJCgsLFQgEtGHDBr344ovy+/3RmsbGRpWUlKi0tFRnz55VaWmpVqxYodOnTw/8zgAAwIjmsCzLsnPB/Pnz9f3vf1+7du2Kts2aNUvLly9XRUVFXP3PfvYzHT58WJ988km0raysTGfPnlVjY6MkqaSkRJFIRB988EG05gc/+IHuueceVVdX92tckUhEbrdb4XBYiYmJdm7ppqavPzKk/cE8n73+xLD+fdYgWIMYbrdqDQ7m/XucneIrV67ozJkzWr9+fUx7UVGRTp061eM1jY2NKioqimlbvHixqqqq9PXXX2v8+PFqbGzUSy+9FFdTWVnZ61i6u7vV3d0dPQ+Hw5KuT8ZQ+6b7yyHvE2a5FevKDtYgWIMYbrdqDd7o1+aeiiSbIaazs1PXrl1TcnJyTHtycrJCoVCP14RCoR7rr169qs7OTnk8nl5reutTkioqKrRp06a49tTU1P7eDtBv7srhHgFGO9YghtutXoOXLl2S2+22dY2tEHODw+GIObcsK67tZvXfbbfbp9frVXl5efT8m2++0f/8z/9o4sSJMddFIhGlpqaqra1tyD9mGi2Yw8Fh/gaPORwc5m/wmMPB6Wv+LMvSpUuXNGXKFNv92goxkyZN0tixY+N2SDo6OuJ2Um5ISUnpsX7cuHGaOHFinzW99SlJTqdTTqczpu3uu+/utT4xMZGFN0jM4eAwf4PHHA4O8zd4zOHg9DZ/dndgbrD17aSEhATl5OSorq4upr2urk4FBQU9XpOfnx9Xf/ToUeXm5mr8+PF91vTWJwAAgO2Pk8rLy1VaWqrc3Fzl5+drz549am1tVVlZmaTrH/O0t7dr7969kq5/E2n79u0qLy/Xj3/8YzU2NqqqqirmW0dr167VggULtHnzZi1btkyHDh3SsWPH9NFHHw3RbQIAgJHGdogpKSnR559/rtdee03BYFBz5sxRbW2t0tLSJEnBYDDmf8akp6ertrZWL730knbs2KEpU6Zo27Zteuqpp6I1BQUF2rdvn1555RW9+uqruv/++1VTU6P58+cP+gadTqf++Z//Oe6jJ/Qfczg4zN/gMYeDw/wNHnM4OLdq/mz/nxgAAIA7Ab+dBAAAjESIAQAARiLEAAAAIxFiAACAkUZEiNm5c6fS09PlcrmUk5OjkydP9lp74sQJORyOuOPTTz+9jSO+czQ0NGjp0qWaMmWKHA6HDh48eNNr6uvrlZOTI5fLpfvuu0+7d+++9QO9g9mdQ9ZgrIqKCs2dO1cTJkzQ5MmTtXz5cp07d+6m17EOrxvI/LEGY+3atUsPPvhg9B+x5efnx/wgcU9Yf//H7vwN5fozPsTU1NRo3bp12rhxowKBgAoLC1VcXBzzNe+enDt3TsFgMHrMmDHjNo34ztLV1aWsrCxt3769X/UtLS1asmSJCgsLFQgEtGHDBr344ovy+/23eKR3LrtzeANr8Lr6+nqtWbNGf/jDH1RXV6erV6+qqKhIXV1dvV7DOvw/A5m/G1iD102dOlWvv/66mpqa1NTUpL/7u7/TsmXL9B//8R891rP+YtmdvxuGZP1Zhps3b55VVlYW0zZz5kxr/fr1PdYfP37ckmR98cUXt2F0ZpFkHThwoM+af/qnf7JmzpwZ0/YP//APVl5e3i0cmTn6M4eswb51dHRYkqz6+vpea1iHvevP/LEGb+6ee+6x/uVf/qXH11h/N9fX/A3l+jN6J+bKlSs6c+aMioqKYtqLiop06tSpPq/Nzs6Wx+PRwoULdfz48Vs5zBGlsbExbr4XL16spqYmff3118M0KjOxBnsWDoclSUlJSb3WsA5715/5u4E1GO/atWvat2+furq6lJ+f32MN6693/Zm/G4Zi/RkdYjo7O3Xt2rW4H4pMTk6O+0HJGzwej/bs2SO/36/9+/crIyNDCxcuVENDw+0YsvFCoVCP83316lV1dnYO06jMwhrsnWVZKi8v18MPP6w5c+b0Wsc67Fl/5481GO/f/u3f9Dd/8zdyOp0qKyvTgQMHlJmZ2WMt6y+enfkbyvVn+2cH7kQOhyPm3LKsuLYbMjIylJGRET3Pz89XW1ub3njjDS1YsOCWjnOk6Gm+e2pHz1iDvXvhhRf08ccf9+t301iH8fo7f6zBeBkZGWpubtbFixfl9/u1cuVK1dfX9/pGzPqLZWf+hnL9Gb0TM2nSJI0dOzZu16WjoyMuJfclLy9P58+fH+rhjUgpKSk9zve4ceM0ceLEYRqV+ViD0k9/+lMdPnxYx48f19SpU/usZR3GszN/PRntazAhIUF/+7d/q9zcXFVUVCgrK0tbt27tsZb1F8/O/PVkoOvP6BCTkJCgnJwc1dXVxbTX1dWpoKCg3/0EAgF5PJ6hHt6IlJ+fHzffR48eVW5ursaPHz9MozLfaF6DlmXphRde0P79+/X73/9e6enpN72Gdfh/BjJ/PRnNa7AnlmWpu7u7x9dYfzfX1/z1ZMDrb9CPBg+zffv2WePHj7eqqqqsP/3pT9a6deusv/7rv7Y+++wzy7Isa/369VZpaWm0fsuWLdaBAwes//zP/7T+/d//3Vq/fr0lyfL7/cN1C8Pq0qVLViAQsAKBgCXJevPNN61AIGD9+c9/tiwrfv7+67/+y/qrv/or66WXXrL+9Kc/WVVVVdb48eOtf/3Xfx2uWxh2dueQNRjrH//xHy23222dOHHCCgaD0ePLL7+M1rAOezeQ+WMNxvJ6vVZDQ4PV0tJiffzxx9aGDRusMWPGWEePHrUsi/V3M3bnbyjXn/EhxrIsa8eOHVZaWpqVkJBgff/734/5auHKlSutRx55JHq+efNm6/7777dcLpd1zz33WA8//LB15MiRYRj1neHGV92+e6xcudKyrPj5syzLOnHihJWdnW0lJCRY06dPt3bt2nX7B34HsTuHrMFYPc2dJOudd96J1rAOezeQ+WMNxvr7v//76HvIvffeay1cuDD6BmxZrL+bsTt/Q7n+HJb1/59GAgAAMIjRz8QAAIDRixADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACP9Pyp4dIQvIjgFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(price_counts.index, price_counts.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e837b1d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Price Ranges Among Restaurants')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xlabel(\"Price Range\")\n",
    "plt.ylabel(\"Number of Restaurants\")\n",
    "plt.title(\"Distribution of Price Ranges Among Restaurants\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "bdbe0358",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_counts = df[\"Price Range\"].value_counts()\n",
    "total_restaurants = len(df)\n",
    "percentage = (price_counts / total_restaurants) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "11b1ca84",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of restaurants in each price range category:\n",
      "2    40.0\n",
      "3    40.0\n",
      "1    20.0\n",
      "Name: Price Range, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(\"Percentage of restaurants in each price range category:\")\n",
    "print(percentage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ec877a78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1.0999994920143084,\n",
       " 1.099999492015124,\n",
       " -1.0999928249756408,\n",
       " 1.0999928249742668)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 6))\n",
    "plt.pie(percentage, labels=percentage.index, autopct=\"%.1f%%\", startangle=140)\n",
    "plt.title(\"Percentage of Restaurants in Each Price Range Category\")\n",
    "plt.axis(\"equal\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "4118c8a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "591f374b",
   "metadata": {},
   "outputs": [],
   "source": [
    "**TASK-4(Level-1) TASK: Online Delivery**\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "bdbdb7e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "682d1426",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Dataset.csv1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "9efa829a",
   "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>ï»¿Restaurant ID</th>\n",
       "      <th>Restaurant Name</th>\n",
       "      <th>Country Code</th>\n",
       "      <th>City</th>\n",
       "      <th>Address</th>\n",
       "      <th>Locality</th>\n",
       "      <th>Locality Verbose</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Cuisines</th>\n",
       "      <th>...</th>\n",
       "      <th>Currency</th>\n",
       "      <th>Has Table booking</th>\n",
       "      <th>Has Online delivery</th>\n",
       "      <th>Is delivering now</th>\n",
       "      <th>Switch to order menu</th>\n",
       "      <th>Price range</th>\n",
       "      <th>Aggregate rating</th>\n",
       "      <th>Rating color</th>\n",
       "      <th>Rating text</th>\n",
       "      <th>Votes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6317637</td>\n",
       "      <td>Le Petit Souffle</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Third Floor, Century City Mall, Kalayaan Avenu...</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City</td>\n",
       "      <td>Century City Mall, Poblacion, Makati City, Mak...</td>\n",
       "      <td>121.027535</td>\n",
       "      <td>14.565443</td>\n",
       "      <td>French, Japanese, Desserts</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6304287</td>\n",
       "      <td>Izakaya Kikufuji</td>\n",
       "      <td>162</td>\n",
       "      <td>Makati City</td>\n",
       "      <td>Little Tokyo, 2277 Chino Roces Avenue, Legaspi...</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City</td>\n",
       "      <td>Little Tokyo, Legaspi Village, Makati City, Ma...</td>\n",
       "      <td>121.014101</td>\n",
       "      <td>14.553708</td>\n",
       "      <td>Japanese</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6300002</td>\n",
       "      <td>Heat - Edsa Shangri-La</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City</td>\n",
       "      <td>Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...</td>\n",
       "      <td>121.056831</td>\n",
       "      <td>14.581404</td>\n",
       "      <td>Seafood, Asian, Filipino, Indian</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6318506</td>\n",
       "      <td>Ooma</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Fashion Hall, SM Megamall, O...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.056475</td>\n",
       "      <td>14.585318</td>\n",
       "      <td>Japanese, Sushi</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6314302</td>\n",
       "      <td>Sambo Kojin</td>\n",
       "      <td>162</td>\n",
       "      <td>Mandaluyong City</td>\n",
       "      <td>Third Floor, Mega Atrium, SM Megamall, Ortigas...</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City</td>\n",
       "      <td>SM Megamall, Ortigas, Mandaluyong City, Mandal...</td>\n",
       "      <td>121.057508</td>\n",
       "      <td>14.584450</td>\n",
       "      <td>Japanese, Korean</td>\n",
       "      <td>...</td>\n",
       "      <td>Botswana Pula(P)</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>Dark Green</td>\n",
       "      <td>Excellent</td>\n",
       "      <td>229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9546</th>\n",
       "      <td>5915730</td>\n",
       "      <td>NamlÛ± Gurme</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...</td>\n",
       "      <td>Karakï¿½_y</td>\n",
       "      <td>Karakï¿½_y, ï¿½ï¿½stanbul</td>\n",
       "      <td>28.977392</td>\n",
       "      <td>41.022793</td>\n",
       "      <td>Turkish</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.1</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9547</th>\n",
       "      <td>5908749</td>\n",
       "      <td>Ceviz Aï¿½ï¿½acÛ±</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...</td>\n",
       "      <td>Koï¿½ï¿½uyolu</td>\n",
       "      <td>Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.041297</td>\n",
       "      <td>41.009847</td>\n",
       "      <td>World Cuisine, Patisserie, Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3</td>\n",
       "      <td>4.2</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>1034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9548</th>\n",
       "      <td>5915807</td>\n",
       "      <td>Huqqa</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.034640</td>\n",
       "      <td>41.055817</td>\n",
       "      <td>Italian, World Cuisine</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>Yellow</td>\n",
       "      <td>Good</td>\n",
       "      <td>661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9549</th>\n",
       "      <td>5916112</td>\n",
       "      <td>Aï¿½ï¿½ï¿½k Kahve</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me</td>\n",
       "      <td>Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.036019</td>\n",
       "      <td>41.057979</td>\n",
       "      <td>Restaurant Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9550</th>\n",
       "      <td>5927402</td>\n",
       "      <td>Walter's Coffee Roastery</td>\n",
       "      <td>208</td>\n",
       "      <td>ï¿½ï¿½stanbul</td>\n",
       "      <td>Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...</td>\n",
       "      <td>Moda</td>\n",
       "      <td>Moda, ï¿½ï¿½stanbul</td>\n",
       "      <td>29.026016</td>\n",
       "      <td>40.984776</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>...</td>\n",
       "      <td>Turkish Lira(TL)</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Green</td>\n",
       "      <td>Very Good</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9551 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ï»¿Restaurant ID           Restaurant Name  Country Code  \\\n",
       "0              6317637          Le Petit Souffle           162   \n",
       "1              6304287          Izakaya Kikufuji           162   \n",
       "2              6300002    Heat - Edsa Shangri-La           162   \n",
       "3              6318506                      Ooma           162   \n",
       "4              6314302               Sambo Kojin           162   \n",
       "...                ...                       ...           ...   \n",
       "9546           5915730              NamlÛ± Gurme           208   \n",
       "9547           5908749         Ceviz Aï¿½ï¿½acÛ±           208   \n",
       "9548           5915807                     Huqqa           208   \n",
       "9549           5916112         Aï¿½ï¿½ï¿½k Kahve           208   \n",
       "9550           5927402  Walter's Coffee Roastery           208   \n",
       "\n",
       "                  City                                            Address  \\\n",
       "0          Makati City  Third Floor, Century City Mall, Kalayaan Avenu...   \n",
       "1          Makati City  Little Tokyo, 2277 Chino Roces Avenue, Legaspi...   \n",
       "2     Mandaluyong City  Edsa Shangri-La, 1 Garden Way, Ortigas, Mandal...   \n",
       "3     Mandaluyong City  Third Floor, Mega Fashion Hall, SM Megamall, O...   \n",
       "4     Mandaluyong City  Third Floor, Mega Atrium, SM Megamall, Ortigas...   \n",
       "...                ...                                                ...   \n",
       "9546     ï¿½ï¿½stanbul  Kemankeï¿½ï¿½ Karamustafa Paï¿½ï¿½a Mahallesi,...   \n",
       "9547     ï¿½ï¿½stanbul  Koï¿½ï¿½uyolu Mahallesi, Muhittin ï¿½ï¿½stï¿½_...   \n",
       "9548     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9549     ï¿½ï¿½stanbul  Kuruï¿½_eï¿½ï¿½me Mahallesi, Muallim Naci Cadd...   \n",
       "9550     ï¿½ï¿½stanbul  Cafeaï¿½ï¿½a Mahallesi, BademaltÛ± Sokak, No 2...   \n",
       "\n",
       "                                        Locality  \\\n",
       "0      Century City Mall, Poblacion, Makati City   \n",
       "1     Little Tokyo, Legaspi Village, Makati City   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City   \n",
       "3         SM Megamall, Ortigas, Mandaluyong City   \n",
       "4         SM Megamall, Ortigas, Mandaluyong City   \n",
       "...                                          ...   \n",
       "9546                                  Karakï¿½_y   \n",
       "9547                               Koï¿½ï¿½uyolu   \n",
       "9548                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9549                           Kuruï¿½_eï¿½ï¿½me   \n",
       "9550                                        Moda   \n",
       "\n",
       "                                       Locality Verbose   Longitude  \\\n",
       "0     Century City Mall, Poblacion, Makati City, Mak...  121.027535   \n",
       "1     Little Tokyo, Legaspi Village, Makati City, Ma...  121.014101   \n",
       "2     Edsa Shangri-La, Ortigas, Mandaluyong City, Ma...  121.056831   \n",
       "3     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.056475   \n",
       "4     SM Megamall, Ortigas, Mandaluyong City, Mandal...  121.057508   \n",
       "...                                                 ...         ...   \n",
       "9546                          Karakï¿½_y, ï¿½ï¿½stanbul   28.977392   \n",
       "9547                       Koï¿½ï¿½uyolu, ï¿½ï¿½stanbul   29.041297   \n",
       "9548                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.034640   \n",
       "9549                   Kuruï¿½_eï¿½ï¿½me, ï¿½ï¿½stanbul   29.036019   \n",
       "9550                                Moda, ï¿½ï¿½stanbul   29.026016   \n",
       "\n",
       "       Latitude                          Cuisines  ...          Currency  \\\n",
       "0     14.565443        French, Japanese, Desserts  ...  Botswana Pula(P)   \n",
       "1     14.553708                          Japanese  ...  Botswana Pula(P)   \n",
       "2     14.581404  Seafood, Asian, Filipino, Indian  ...  Botswana Pula(P)   \n",
       "3     14.585318                   Japanese, Sushi  ...  Botswana Pula(P)   \n",
       "4     14.584450                  Japanese, Korean  ...  Botswana Pula(P)   \n",
       "...         ...                               ...  ...               ...   \n",
       "9546  41.022793                           Turkish  ...  Turkish Lira(TL)   \n",
       "9547  41.009847   World Cuisine, Patisserie, Cafe  ...  Turkish Lira(TL)   \n",
       "9548  41.055817            Italian, World Cuisine  ...  Turkish Lira(TL)   \n",
       "9549  41.057979                   Restaurant Cafe  ...  Turkish Lira(TL)   \n",
       "9550  40.984776                              Cafe  ...  Turkish Lira(TL)   \n",
       "\n",
       "     Has Table booking Has Online delivery Is delivering now  \\\n",
       "0                  Yes                  No                No   \n",
       "1                  Yes                  No                No   \n",
       "2                  Yes                  No                No   \n",
       "3                   No                  No                No   \n",
       "4                  Yes                  No                No   \n",
       "...                ...                 ...               ...   \n",
       "9546                No                  No                No   \n",
       "9547                No                  No                No   \n",
       "9548                No                  No                No   \n",
       "9549                No                  No                No   \n",
       "9550                No                  No                No   \n",
       "\n",
       "     Switch to order menu Price range  Aggregate rating  Rating color  \\\n",
       "0                      No           3               4.8    Dark Green   \n",
       "1                      No           3               4.5    Dark Green   \n",
       "2                      No           4               4.4         Green   \n",
       "3                      No           4               4.9    Dark Green   \n",
       "4                      No           4               4.8    Dark Green   \n",
       "...                   ...         ...               ...           ...   \n",
       "9546                   No           3               4.1         Green   \n",
       "9547                   No           3               4.2         Green   \n",
       "9548                   No           4               3.7        Yellow   \n",
       "9549                   No           4               4.0         Green   \n",
       "9550                   No           2               4.0         Green   \n",
       "\n",
       "     Rating text Votes  \n",
       "0      Excellent   314  \n",
       "1      Excellent   591  \n",
       "2      Very Good   270  \n",
       "3      Excellent   365  \n",
       "4      Excellent   229  \n",
       "...          ...   ...  \n",
       "9546   Very Good   788  \n",
       "9547   Very Good  1034  \n",
       "9548        Good   661  \n",
       "9549   Very Good   901  \n",
       "9550   Very Good   591  \n",
       "\n",
       "[9551 rows x 21 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "08450dfc",
   "metadata": {},
   "outputs": [],
   "source": [
    "delivery_column = None\n",
    "rating_column = None\n",
    "search_keywords = ['delivery', 'online_order', 'has_delivery']\n",
    "rating_keywords = ['rating', 'rate', 'score']\n",
    "\n",
    "for column in df.columns:\n",
    "    if any(keyword in column.lower() for keyword in search_keywords):\n",
    "        delivery_column = column\n",
    "    if any(keyword in column.lower() for keyword in rating_keywords):\n",
    "        rating_column = column\n",
    "\n",
    "if delivery_column is None:\n",
    "    raise ValueError(\"No column found with delivery information.\")\n",
    "if rating_column is None:\n",
    "    raise ValueError(\"No column found with restaurant ratings.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "6fcdf13e",
   "metadata": {},
   "outputs": [],
   "source": [
    "rating_mapping = {\n",
    "    'Poor': 1,\n",
    "    'Average': 2,\n",
    "    'Good': 3,\n",
    "    'Very Good': 4,\n",
    "    'Excellent': 5\n",
    "}\n",
    "df[rating_column] = df[rating_column].map(rating_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "84ccf3b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[delivery_column] = df[delivery_column].map({'Yes': 1, 'No': 0}).fillna(df[delivery_column])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "92431748",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average rating for restaurants with online delivery: 2.58\n",
      "Average rating for restaurants without online delivery: 2.71\n"
     ]
    }
   ],
   "source": [
    "avg_rating_with_delivery = df[df[delivery_column] == 1][rating_column].mean()\n",
    "avg_rating_without_delivery = df[df[delivery_column] == 0][rating_column].mean()\n",
    "\n",
    "print(f\"Average rating for restaurants with online delivery: {avg_rating_with_delivery:.2f}\")\n",
    "print(f\"Average rating for restaurants without online delivery: {avg_rating_without_delivery:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4da37378",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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