food panda lahore data scraping and analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import pandas as pd\n",
    "import re\n",
    "from wordcloud import WordCloud\n",
    "from collections import Counter\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Scraping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://www.foodpanda.pk/city/lahore'\n",
    "response = requests.get(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 200 indicates success\n",
    "response"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "b_soup = BeautifulSoup(response.text, 'html.parser')\n",
    "names = []\n",
    "ratings = []\n",
    "ratings_count = []\n",
    "delivery_fee = []\n",
    "minimum_order = []\n",
    "vendor_char = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "for a in b_soup.findAll('a', attrs={'class':'hreview-aggregate url'}):\n",
    "    name=a.find('span', attrs={'class':'name fn'})\n",
    "    names.append(name.text)\n",
    "    rating=a.find('span', attrs={'class':'rating'})\n",
    "    if rating:\n",
    "        ratings.append(rating.text)\n",
    "        rating_count=a.find('span', attrs={'class':'count'})\n",
    "        ratings_count.append(rating_count.text)\n",
    "    else:\n",
    "        ratings.append(None)\n",
    "        ratings_count.append(None)\n",
    "    min_order=a.find('ul', attrs={'class':'extra-info mov-df-extra-info'})\n",
    "    ls = min_order.text.split('\\n')\n",
    "    ls_ = [s for s in ls if s]\n",
    "    minimum_order.append(ls_[0])\n",
    "    delivery_fee.append(ls_[1])\n",
    "    vendor_characteristics=a.find('li', attrs={'class':'vendor-characteristic'})\n",
    "    vendor_char.append(vendor_characteristics.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### creating a data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_df = pd.DataFrame()\n",
    "restaurants_df[\"name\"] = pd.Series(names)\n",
    "restaurants_df[\"rating\"] = pd.Series(ratings)\n",
    "restaurants_df[\"rating_count\"] = pd.Series(ratings_count)\n",
    "restaurants_df[\"delivery_fee\"] = pd.Series(delivery_fee)\n",
    "restaurants_df[\"min_order\"] = pd.Series(minimum_order)\n",
    "restaurants_df[\"vendor_char\"] = pd.Series(vendor_char)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>delivery_fee</th>\n",
       "      <th>min_order</th>\n",
       "      <th>vendor_char</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Samosa Kitchen</td>\n",
       "      <td>4/5</td>\n",
       "      <td>\\n219\\n</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nRestaurant Own delivery\\nPakistani\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Margherito's Pizza</td>\n",
       "      <td>4/5</td>\n",
       "      <td>\\n11\\n</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nPizza\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shawarma Time - Bhabara Market</td>\n",
       "      <td>2.2/5</td>\n",
       "      <td>\\n4\\n</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nSuper Discount\\nFast Food\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Top Inn Pizza</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nChicken\\nFast Food\\nFried Chicken\\nSnacks-St...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>#TheDeli</td>\n",
       "      <td>4.1/5</td>\n",
       "      <td>\\n6\\n</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nfoodpanda delivery\\nAmerican\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>MAA G KY PARATHY</td>\n",
       "      <td>5/5</td>\n",
       "      <td>\\n1\\n</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nParatha\\nfoodpanda delivery\\nPakistani\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Mr Fluffy Fluffs</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nfoodpanda delivery\\nDesserts\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>Kernel's Kitchen</td>\n",
       "      <td>3.6/5</td>\n",
       "      <td>\\n3\\n</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nBBQ\\nIce Cream\\nTea\\nRoll Paratha\\nfoodpanda...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Arabic Mandi</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nfoodpanda delivery\\nPakistani\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>RPS MARKETPLACE TEST</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>\\nRestaurant Own delivery\\nChinese\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>256 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               name rating rating_count   delivery_fee  \\\n",
       "0                    Samosa Kitchen    4/5      \\n219\\n  Free delivery   \n",
       "1                Margherito's Pizza    4/5       \\n11\\n  Free delivery   \n",
       "2    Shawarma Time - Bhabara Market  2.2/5        \\n4\\n  Free delivery   \n",
       "3                     Top Inn Pizza   None         None  Free delivery   \n",
       "4                          #TheDeli  4.1/5        \\n6\\n  Free delivery   \n",
       "..                              ...    ...          ...            ...   \n",
       "251                MAA G KY PARATHY    5/5        \\n1\\n  Free delivery   \n",
       "252                Mr Fluffy Fluffs   None         None  Free delivery   \n",
       "253                Kernel's Kitchen  3.6/5        \\n3\\n  Free delivery   \n",
       "254                    Arabic Mandi   None         None  Free delivery   \n",
       "255            RPS MARKETPLACE TEST   None         None  Free delivery   \n",
       "\n",
       "      min_order                                        vendor_char  \n",
       "0    No minimum             \\nRestaurant Own delivery\\nPakistani\\n  \n",
       "1    No minimum                                          \\nPizza\\n  \n",
       "2    No minimum                      \\nSuper Discount\\nFast Food\\n  \n",
       "3    No minimum  \\nChicken\\nFast Food\\nFried Chicken\\nSnacks-St...  \n",
       "4    No minimum                   \\nfoodpanda delivery\\nAmerican\\n  \n",
       "..          ...                                                ...  \n",
       "251  No minimum         \\nParatha\\nfoodpanda delivery\\nPakistani\\n  \n",
       "252  No minimum                   \\nfoodpanda delivery\\nDesserts\\n  \n",
       "253  No minimum  \\nBBQ\\nIce Cream\\nTea\\nRoll Paratha\\nfoodpanda...  \n",
       "254  No minimum                  \\nfoodpanda delivery\\nPakistani\\n  \n",
       "255  No minimum               \\nRestaurant Own delivery\\nChinese\\n  \n",
       "\n",
       "[256 rows x 6 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_df['rating_count'] = restaurants_df['rating_count'].apply(lambda x:x if (x is None) else re.findall(r'\\d+', x)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0               [, Restaurant Own delivery, Pakistani, ]\n",
       "1                                            [, Pizza, ]\n",
       "2                        [, Super Discount, Fast Food, ]\n",
       "3      [, Chicken, Fast Food, Fried Chicken, Snacks-S...\n",
       "4                     [, foodpanda delivery, American, ]\n",
       "                             ...                        \n",
       "251         [, Paratha, foodpanda delivery, Pakistani, ]\n",
       "252                   [, foodpanda delivery, Desserts, ]\n",
       "253    [, BBQ, Ice Cream, Tea, Roll Paratha, foodpand...\n",
       "254                  [, foodpanda delivery, Pakistani, ]\n",
       "255               [, Restaurant Own delivery, Chinese, ]\n",
       "Name: vendor_char, Length: 256, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df['vendor_char'] = restaurants_df['vendor_char'].apply(lambda x: x.split('\\n'))\n",
    "restaurants_df['vendor_char'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                   [Restaurant Own delivery, Pakistani]\n",
       "1                                                [Pizza]\n",
       "2                            [Super Discount, Fast Food]\n",
       "3      [Chicken, Fast Food, Fried Chicken, Snacks-Str...\n",
       "4                         [foodpanda delivery, American]\n",
       "                             ...                        \n",
       "251             [Paratha, foodpanda delivery, Pakistani]\n",
       "252                       [foodpanda delivery, Desserts]\n",
       "253    [BBQ, Ice Cream, Tea, Roll Paratha, foodpanda ...\n",
       "254                      [foodpanda delivery, Pakistani]\n",
       "255                   [Restaurant Own delivery, Chinese]\n",
       "Name: vendor_char, Length: 256, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df['vendor_char'] = restaurants_df['vendor_char'].apply(lambda x: [s for s in x if s])\n",
    "restaurants_df['vendor_char']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      Restaurant Own delivery\n",
       "1                             \n",
       "2                             \n",
       "3           foodpanda delivery\n",
       "4           foodpanda delivery\n",
       "                ...           \n",
       "251         foodpanda delivery\n",
       "252         foodpanda delivery\n",
       "253         foodpanda delivery\n",
       "254         foodpanda delivery\n",
       "255    Restaurant Own delivery\n",
       "Name: delivery_option, Length: 256, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df['delivery_option'] = restaurants_df['vendor_char'].apply(lambda x: ''.join([s for s in x if \"delivery\" in s]))\n",
    "restaurants_df['delivery_option']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                            [Pakistani]\n",
       "1                                                [Pizza]\n",
       "2                            [Super Discount, Fast Food]\n",
       "3      [Chicken, Fast Food, Fried Chicken, Snacks-Str...\n",
       "4                                             [American]\n",
       "                             ...                        \n",
       "251                                 [Paratha, Pakistani]\n",
       "252                                           [Desserts]\n",
       "253    [BBQ, Ice Cream, Tea, Roll Paratha, Beverage, ...\n",
       "254                                          [Pakistani]\n",
       "255                                            [Chinese]\n",
       "Name: food, Length: 256, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df['food'] = restaurants_df['vendor_char'].apply(lambda x: [s for s in x if \"delivery\" not in s])\n",
    "restaurants_df['food']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we don't need to keep this column now\n",
    "restaurants_df.drop('vendor_char', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_df['rating'] = restaurants_df['rating'].apply(lambda x: x if x is None else x.split('/')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_df.rename(columns={'rating': 'rating(out of 5)'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>rating(out of 5)</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>delivery_fee</th>\n",
       "      <th>min_order</th>\n",
       "      <th>delivery_option</th>\n",
       "      <th>food</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Samosa Kitchen</td>\n",
       "      <td>4</td>\n",
       "      <td>219</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>Restaurant Own delivery</td>\n",
       "      <td>[Pakistani]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Margherito's Pizza</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td></td>\n",
       "      <td>[Pizza]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shawarma Time - Bhabara Market</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td></td>\n",
       "      <td>[Super Discount, Fast Food]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Top Inn Pizza</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[Chicken, Fast Food, Fried Chicken, Snacks-Str...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>#TheDeli</td>\n",
       "      <td>4.1</td>\n",
       "      <td>6</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[American]</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>MAA G KY PARATHY</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[Paratha, Pakistani]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Mr Fluffy Fluffs</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[Desserts]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>Kernel's Kitchen</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[BBQ, Ice Cream, Tea, Roll Paratha, Beverage, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>Arabic Mandi</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[Pakistani]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>RPS MARKETPLACE TEST</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>Restaurant Own delivery</td>\n",
       "      <td>[Chinese]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>256 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               name rating(out of 5) rating_count  \\\n",
       "0                    Samosa Kitchen                4          219   \n",
       "1                Margherito's Pizza                4           11   \n",
       "2    Shawarma Time - Bhabara Market              2.2            4   \n",
       "3                     Top Inn Pizza             None         None   \n",
       "4                          #TheDeli              4.1            6   \n",
       "..                              ...              ...          ...   \n",
       "251                MAA G KY PARATHY                5            1   \n",
       "252                Mr Fluffy Fluffs             None         None   \n",
       "253                Kernel's Kitchen              3.6            3   \n",
       "254                    Arabic Mandi             None         None   \n",
       "255            RPS MARKETPLACE TEST             None         None   \n",
       "\n",
       "      delivery_fee   min_order          delivery_option  \\\n",
       "0    Free delivery  No minimum  Restaurant Own delivery   \n",
       "1    Free delivery  No minimum                            \n",
       "2    Free delivery  No minimum                            \n",
       "3    Free delivery  No minimum       foodpanda delivery   \n",
       "4    Free delivery  No minimum       foodpanda delivery   \n",
       "..             ...         ...                      ...   \n",
       "251  Free delivery  No minimum       foodpanda delivery   \n",
       "252  Free delivery  No minimum       foodpanda delivery   \n",
       "253  Free delivery  No minimum       foodpanda delivery   \n",
       "254  Free delivery  No minimum       foodpanda delivery   \n",
       "255  Free delivery  No minimum  Restaurant Own delivery   \n",
       "\n",
       "                                                  food  \n",
       "0                                          [Pakistani]  \n",
       "1                                              [Pizza]  \n",
       "2                          [Super Discount, Fast Food]  \n",
       "3    [Chicken, Fast Food, Fried Chicken, Snacks-Str...  \n",
       "4                                           [American]  \n",
       "..                                                 ...  \n",
       "251                               [Paratha, Pakistani]  \n",
       "252                                         [Desserts]  \n",
       "253  [BBQ, Ice Cream, Tea, Roll Paratha, Beverage, ...  \n",
       "254                                        [Pakistani]  \n",
       "255                                          [Chinese]  \n",
       "\n",
       "[256 rows x 7 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>rating(out of 5)</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>delivery_fee</th>\n",
       "      <th>min_order</th>\n",
       "      <th>delivery_option</th>\n",
       "      <th>food</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>256</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>256</td>\n",
       "      <td>256</td>\n",
       "      <td>256</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>255</td>\n",
       "      <td>23</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Tandoor Restaurant</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[Pakistani]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>14</td>\n",
       "      <td>253</td>\n",
       "      <td>256</td>\n",
       "      <td>200</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name rating(out of 5) rating_count   delivery_fee  \\\n",
       "count                  256              165          165            256   \n",
       "unique                 255               23          115              2   \n",
       "top     Tandoor Restaurant              4.1            1  Free delivery   \n",
       "freq                     2               28           14            253   \n",
       "\n",
       "         min_order     delivery_option         food  \n",
       "count          256                 256          256  \n",
       "unique           1                   3          198  \n",
       "top     No minimum  foodpanda delivery  [Pakistani]  \n",
       "freq           256                 200           16  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name                object\n",
       "rating(out of 5)    object\n",
       "rating_count        object\n",
       "delivery_fee        object\n",
       "min_order           object\n",
       "delivery_option     object\n",
       "food                object\n",
       "dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### changing the data type of columns with numerical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_df['rating(out of 5)'] = restaurants_df['rating(out of 5)'].astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_df['rating_count'] = restaurants_df['rating_count'].astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name                 object\n",
       "rating(out of 5)    float64\n",
       "rating_count        float64\n",
       "delivery_fee         object\n",
       "min_order            object\n",
       "delivery_option      object\n",
       "food                 object\n",
       "dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>rating(out of 5)</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>delivery_fee</th>\n",
       "      <th>min_order</th>\n",
       "      <th>delivery_option</th>\n",
       "      <th>food</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>256</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>256</td>\n",
       "      <td>256</td>\n",
       "      <td>256</td>\n",
       "      <td>256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Tandoor Restaurant</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Free delivery</td>\n",
       "      <td>No minimum</td>\n",
       "      <td>foodpanda delivery</td>\n",
       "      <td>[Pakistani]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>253</td>\n",
       "      <td>256</td>\n",
       "      <td>200</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.850909</td>\n",
       "      <td>293.418182</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.712828</td>\n",
       "      <td>607.464634</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3639.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name  rating(out of 5)  rating_count   delivery_fee  \\\n",
       "count                  256        165.000000    165.000000            256   \n",
       "unique                 255               NaN           NaN              2   \n",
       "top     Tandoor Restaurant               NaN           NaN  Free delivery   \n",
       "freq                     2               NaN           NaN            253   \n",
       "mean                   NaN          3.850909    293.418182            NaN   \n",
       "std                    NaN          0.712828    607.464634            NaN   \n",
       "min                    NaN          1.000000      1.000000            NaN   \n",
       "25%                    NaN          3.800000      9.000000            NaN   \n",
       "50%                    NaN          4.000000     48.000000            NaN   \n",
       "75%                    NaN          4.200000    214.000000            NaN   \n",
       "max                    NaN          5.000000   3639.000000            NaN   \n",
       "\n",
       "         min_order     delivery_option         food  \n",
       "count          256                 256          256  \n",
       "unique           1                   3          198  \n",
       "top     No minimum  foodpanda delivery  [Pakistani]  \n",
       "freq           256                 200           16  \n",
       "mean           NaN                 NaN          NaN  \n",
       "std            NaN                 NaN          NaN  \n",
       "min            NaN                 NaN          NaN  \n",
       "25%            NaN                 NaN          NaN  \n",
       "50%            NaN                 NaN          NaN  \n",
       "75%            NaN                 NaN          NaN  \n",
       "max            NaN                 NaN          NaN  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now that we have float data type, the output of describe() is below\n",
    "restaurants_df.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving Data Frame as CSV File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurants_df.to_csv('food_panda_lhr_data.csv',sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyzing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f42c59bd650>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAD4CAYAAAD1jb0+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAARE0lEQVR4nO3db2xdd33H8feXtogoLk2rFBOlbN5ExNZhFRqrK4qGbAooIxXpAzqBgKWok7UJENMybYEHQzyYlidFYwhpiwrDEwUvAkqiFtiiUA8hjT8JFNwu3YpYVJp2yShJwCwaCvvugU/AXP+555779ye9X5J17/nz8/nk5+tPro/vuY7MRJJUnucNO4AkqRkLXJIKZYFLUqEscEkqlAUuSYW6epAH27p1a05MTDQa+5Of/ITNmzf3NlAPmKsz5uqMuTozqrmgu2wnT578QWbeuGpDZg7sY+fOndnUI4880nhsP5mrM+bqjLk6M6q5MrvLBpzINTrVUyiSVCgLXJIKZYFLUqEscEkqlAUuSYWywCWpUBa4JBXKApekQlngklSogV5KL2l0TBx4uPHY/ZOXuaeL8acP7mk8Vr/gM3BJKpQFLkmFssAlqVAWuCQVygKXpEJZ4JJUKAtckgplgUtSoWoVeERsiYhPR8QTEXEqIl4VETdExLGIeLK6vb7fYSVJv1D3GfiHgC9m5m8AtwCngAPA8czcARyvliVJA9K2wCPihcCrgY8CZOZPM/MCsBeYq3abA+7qV0hJ0mp1noH/OvDfwN9HxLci4v6I2AyMZ+azANXti/qYU5LUIpb/Yv0GO0RMAV8FdmXm1yLiQ8CPgHdn5pYV+53PzFXnwSNiFpgFGB8f3zk/P98o6NLSEmNjY43G9pO5OmOuzvQz1+KZi43Hjm+Cs5eaH3ty+3XNB29gVL+O0F22mZmZk5k51bq+ToG/GPhqZk5Uy7/D8vnulwLTmflsRGwDFjLzZRt9rqmpqTxx4kSjf8DCwgLT09ONxvaTuTpjrs70M1e370Z432LzNzPt17sRjurXEbrLFhFrFnjbUyiZ+V/A9yPiSjnfAfwbcBTYV63bBxxplEyS1Ejd/0LfDTwQEc8Hvge8g+XyPxwR9wJPAXf3J6IkaS21CjwzHwVWPX1n+dm4JGkIvBJTkgplgUtSoSxwSSqUBS5JhbLAJalQFrgkFcoCl6RCWeCSVCgLXJIKZYFLUqEscEkqlAUuSYWywCWpUBa4JBXKApekQlngklQoC1ySCmWBS1KhLHBJKpQFLkmFssAlqVAWuCQVygKXpEJZ4JJUqKvr7BQRp4EfAz8DLmfmVETcAPwjMAGcBn4vM8/3J6YkqVUnz8BnMvMVmTlVLR8AjmfmDuB4tSxJGpBuTqHsBeaq+3PAXd3HkSTVFZnZfqeI/wTOAwn8XWYeiogLmbllxT7nM/P6NcbOArMA4+PjO+fn5xsFXVpaYmxsrNHYfjJXZ8zVmX7mWjxzsfHY8U1w9lLzY09uv6754A2M6tcRuss2MzNzcsXZj5+rdQ4c2JWZz0TEi4BjEfFE3QNn5iHgEMDU1FROT0/XHfpLFhYWaDq2n8zVGXN1pp+57jnwcOOx+ycvc99i3fpY7fRbpxuP3ciofh2hP9lqnULJzGeq23PAg8BtwNmI2AZQ3Z7raTJJ0obaFnhEbI6Ia6/cB14PPAYcBfZVu+0DjvQrpCRptTo/A40DD0bElf0/mZlfjIhvAIcj4l7gKeDu/sWUJLVqW+CZ+T3gljXWPwfc0Y9QkqT2vBJTkgplgUtSoSxwSSqUBS5JhbLAJalQFrgkFcoCl6RCWeCSVCgLXJIKZYFLUqEscEkqlAUuSYWywCWpUBa4JBXKApekQlngklQoC1ySCmWBS1KhLHBJKpQFLkmFssAlqVAWuCQVygKXpELVLvCIuCoivhURD1XLN0TEsYh4srq9vn8xJUmtOnkG/h7g1IrlA8DxzNwBHK+WJUkDUqvAI+ImYA9w/4rVe4G56v4ccFdvo0mSNhKZ2X6niE8DfwVcC/xpZt4ZERcyc8uKfc5n5qrTKBExC8wCjI+P75yfn28UdGlpibGxsUZj+8lcnTFXZ/qZa/HMxcZjxzfB2UvNjz25/brmgzcwql9H6C7bzMzMycycal1/dbuBEXEncC4zT0bEdKcHzsxDwCGAqampnJ7u+FMAsLCwQNOx/WSuzpirM/3Mdc+BhxuP3T95mfsW29bHuk6/dbrx2I2M6tcR+pOtzldgF/DGiHgD8ALghRHxCeBsRGzLzGcjYhtwrqfJJEkbansOPDPfm5k3ZeYE8GbgS5n5NuAosK/abR9wpG8pJUmrdPM68IPA6yLiSeB11bIkaUA6OomVmQvAQnX/OeCO3keSJNXhlZiSVCgLXJIKZYFLUqEscEkqVPNX4ktSQxNdXES0kf2Tlze8QOn0wT19Oe6w+AxckgplgUtSoSxwSSqUBS5JhbLAJalQFrgkFcoCl6RCWeCSVCgLXJIKZYFLUqEscEkqlAUuSYWywCWpUBa4JBXKApekQlngklQoC1ySCmWBS1KhLHBJKlTbAo+IF0TE1yPi2xHxeER8oFp/Q0Qci4gnq9vr+x9XknRFnWfg/wu8JjNvAV4B7I6I24EDwPHM3AEcr5YlSQPStsBz2VK1eE31kcBeYK5aPwfc1ZeEkqQ1RWa23yniKuAk8FLgI5n55xFxITO3rNjnfGauOo0SEbPALMD4+PjO+fn5RkGXlpYYGxtrNLafzNUZc622eObiutvGN8HZSwMMU1OpuSa3Xze4MC26eYzNzMyczMyp1vW1CvznO0dsAR4E3g18pU6BrzQ1NZUnTpyon3qFhYUFpqenG43tJ3N1xlyrTRx4eN1t+ycvc9/i1QNMU0+puU4f3DPANL+sm8dYRKxZ4B29CiUzLwALwG7gbERsqz75NuBco2SSpEbqvArlxuqZNxGxCXgt8ARwFNhX7bYPONKvkJKk1er8DLQNmKvOgz8POJyZD0XEvwKHI+Je4Cng7j7mlCS1aFvgmfkd4JVrrH8OuKMfoSRJ7XklpiQVygKXpEJZ4JJUKAtckgplgUtSoSxwSSqUBS5JhbLAJalQFrgkFcoCl6RCWeCSVCgLXJIKZYFLUqEscEkqlAUuSYWywCWpUBa4JBXKApekQlngklQoC1ySCmWBS1KhLHBJKpQFLkmFalvgEfGSiHgkIk5FxOMR8Z5q/Q0RcSwinqxur+9/XEnSFXWegV8G9mfmbwK3A++MiJuBA8DxzNwBHK+WJUkD0rbAM/PZzPxmdf/HwClgO7AXmKt2mwPu6ldISdJqkZn1d46YAL4MvBx4KjO3rNh2PjNXnUaJiFlgFmB8fHzn/Px8o6BLS0uMjY01GttP5uqMuVZbPHNx3W3jm+DspQGGqanUXJPbrxtcmBbdPMZmZmZOZuZU6/raBR4RY8C/AH+ZmZ+NiAt1CnylqampPHHiRIfRly0sLDA9Pd1obD+ZqzPmWm3iwMPrbts/eZn7Fq8eYJp6Ss11+uCeAab5Zd08xiJizQKv9SqUiLgG+AzwQGZ+tlp9NiK2Vdu3AecaJZMkNVLnVSgBfBQ4lZkfXLHpKLCvur8PONL7eJKk9dT5GWgX8HZgMSIerda9DzgIHI6Ie4GngLv7E1GStJa2BZ6ZXwFinc139DaOJKkur8SUpEJZ4JJUKAtckgplgUtSoSxwSSqUBS5JhbLAJalQFrgkFcoCl6RCWeCSVCgLXJIKZYFLUqEscEkqlAUuSYUavb+JJA3B4pmL3LPBnzaTRpHPwCWpUBa4JBXKApekQlngklQoC1ySCmWBS1KhLHBJKpQFLkmFalvgEfGxiDgXEY+tWHdDRByLiCer2+v7G1OS1KrOM/CPA7tb1h0AjmfmDuB4tSxJGqC2BZ6ZXwZ+2LJ6LzBX3Z8D7upxLklSG5GZ7XeKmAAeysyXV8sXMnPLiu3nM3PN0ygRMQvMAoyPj++cn59vFHRpaYmxsbFGY/vJXJ0Z1VznfniRs5eGnWK18U2YqwPtck1uv25wYVp089ifmZk5mZlTrev7/mZWmXkIOAQwNTWV09PTjT7PwsICTcf2k7k6M6q5PvzAEe5bHL33dts/edlcHWiX6/RbpwcXpkU/HvtNX4VyNiK2AVS353oXSZJUR9MCPwrsq+7vA470Jo4kqa62PwNFxKeAaWBrRDwNvB84CByOiHuBp4C7+xlSknphYojv+f7x3Zt7/jnbFnhmvmWdTXf0OIskqQNeiSlJhbLAJalQFrgkFcoCl6RCWeCSVCgLXJIKZYFLUqEscEkqlAUuSYWywCWpUBa4JBXKApekQlngklQoC1ySCjV6fxNpHYtnLnLPkN7L9/TBPUM5bjfvXbx/8nLj+RrWv1dSZ3wGLkmFssAlqVAWuCQVygKXpEJZ4JJUKAtckgplgUtSoSxwSSqUBS5JherqSsyI2A18CLgKuD8zD/Yk1YjZ6IrIbq54HFXdXAHazqjO1/7JYSeQOtf4GXhEXAV8BPhd4GbgLRFxc6+CSZI21s0plNuA72bm9zLzp8A8sLc3sSRJ7URmNhsY8SZgd2b+QbX8duC3M/NdLfvNArPV4suAf2+YdSvwg4Zj+8lcnTFXZ8zVmVHNBd1l+9XMvLF1ZTfnwGONdav+N8jMQ8ChLo6zfLCIE5k51e3n6TVzdcZcnTFXZ0Y1F/QnWzenUJ4GXrJi+Sbgme7iSJLq6qbAvwHsiIhfi4jnA28GjvYmliSpncanUDLzckS8C/gnll9G+LHMfLxnyVbr+jRMn5irM+bqjLk6M6q5oA/ZGv8SU5I0XF6JKUmFssAlqVAjVeAR8bGIOBcRj62zPSLibyLiuxHxnYi4dURyTUfExYh4tPr4iwHleklEPBIRpyLi8Yh4zxr7DHzOauYa+JxFxAsi4usR8e0q1wfW2GcY81Un11AeY9Wxr4qIb0XEQ2tsG8r3ZI1cw/qePB0Ri9UxT6yxvbfzlZkj8wG8GrgVeGyd7W8AvsDya9BvB742IrmmgYeGMF/bgFur+9cC/wHcPOw5q5lr4HNWzcFYdf8a4GvA7SMwX3VyDeUxVh37T4BPrnX8YX1P1sg1rO/J08DWDbb3dL5G6hl4Zn4Z+OEGu+wF/iGXfRXYEhHbRiDXUGTms5n5zer+j4FTwPaW3QY+ZzVzDVw1B0vV4jXVR+tv8YcxX3VyDUVE3ATsAe5fZ5ehfE/WyDWqejpfI1XgNWwHvr9i+WlGoBgqr6p+BP5CRPzWoA8eERPAK1l+9rbSUOdsg1wwhDmrfux+FDgHHMvMkZivGrlgOI+xvwb+DPi/dbYP6/HVLhcMZ74S+OeIOBnLbyPSqqfzVVqB17p8fwi+yfJ7FdwCfBj43CAPHhFjwGeAP87MH7VuXmPIQOasTa6hzFlm/iwzX8HylcO3RcTLW3YZynzVyDXw+YqIO4FzmXlyo93WWNfX+aqZa1jfk7sy81aW36X1nRHx6pbtPZ2v0gp8JC/fz8wfXfkRODM/D1wTEVsHceyIuIblknwgMz+7xi5DmbN2uYY5Z9UxLwALwO6WTUN9jK2Xa0jztQt4Y0ScZvndRl8TEZ9o2WcY89U217AeX5n5THV7DniQ5XdtXamn81VagR8Ffr/6Te7twMXMfHbYoSLixRER1f3bWJ7X5wZw3AA+CpzKzA+us9vA56xOrmHMWUTcGBFbqvubgNcCT7TsNoz5aptrGPOVme/NzJsyc4Llt8r4Uma+rWW3gc9XnVxDenxtjohrr9wHXg+0vnKtp/PV1V/k6bWI+BTLvz3eGhFPA+9n+Rc6ZObfAp9n+be43wX+B3jHiOR6E/BHEXEZuAS8OatfOffZLuDtwGJ1/hTgfcCvrMg2jDmrk2sYc7YNmIvlP0byPOBwZj4UEX+4Itcw5qtOrmE9xlYZgfmqk2sY8zUOPFj9v3E18MnM/GI/58tL6SWpUKWdQpEkVSxwSSqUBS5JhbLAJalQFrgkFcoCl6RCWeCSVKj/Bx/Tb2DxuXkiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "restaurants_df['rating(out of 5)'].hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that less than 10 restaurants has rating=5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### list of unique items in 'food' column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Afghani',\n",
       " 'Afro-Portuguese',\n",
       " 'American',\n",
       " 'Arabic',\n",
       " 'Asian',\n",
       " 'BBQ',\n",
       " 'Beverage',\n",
       " 'Broast',\n",
       " 'Burgers',\n",
       " 'Cakes & Bakery',\n",
       " 'Chicken',\n",
       " 'Chinese',\n",
       " 'Coffee',\n",
       " 'Crepes',\n",
       " 'Cupcakes',\n",
       " 'Curry',\n",
       " 'Desserts',\n",
       " 'European',\n",
       " 'Fast Food',\n",
       " 'Finger Foods',\n",
       " 'Fish',\n",
       " 'Fried Chicken',\n",
       " 'Halwa',\n",
       " 'Healthy',\n",
       " 'Hot dogs',\n",
       " 'Ice Cream',\n",
       " 'Ice Cream Shakes',\n",
       " 'International',\n",
       " 'Italian',\n",
       " 'Japanese',\n",
       " 'Juices',\n",
       " 'Karahi',\n",
       " 'Lassi',\n",
       " 'Lebanese',\n",
       " 'Meat',\n",
       " 'Mexican',\n",
       " 'Middle Eastern',\n",
       " 'Namkeen',\n",
       " 'Noodles',\n",
       " 'Pakistani',\n",
       " 'Pakora',\n",
       " 'Pancakes',\n",
       " 'Paratha',\n",
       " 'Pasta',\n",
       " 'Pizza',\n",
       " 'Prawns',\n",
       " 'Rice',\n",
       " 'Roll Paratha',\n",
       " 'Salad',\n",
       " 'Sandwiches',\n",
       " 'Seafood',\n",
       " 'Singaporean',\n",
       " 'Smoothie Bowl',\n",
       " 'Snacks-Street Food',\n",
       " 'Soup',\n",
       " 'Spicy',\n",
       " 'Steaks',\n",
       " 'Super Discount',\n",
       " 'Sweets',\n",
       " 'Tacos',\n",
       " 'Tandoor',\n",
       " 'Tea',\n",
       " 'Thai',\n",
       " 'Thin Crust Pizza',\n",
       " 'Turkish',\n",
       " 'Vegetarian',\n",
       " 'Vietnamese',\n",
       " 'Waffle',\n",
       " 'Western',\n",
       " 'Wraps'}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set([item for list in restaurants_df['food'].values for item in list])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### restaurants which serve certain type of food"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0                                      Samosa Kitchen\n",
      "8                         Balochi Sajji by Bundu Khan\n",
      "11                               Salt N Pepper lahore\n",
      "12                                    Khala's Kitchen\n",
      "13                                            Basanti\n",
      "14                           Lahori Biryani - Gulberg\n",
      "16                                       Sultan Basha\n",
      "17                                   Karachi Red Rock\n",
      "19            Karachi Master Foods Paratha Roll & BBQ\n",
      "20                        Red Pepper Restaurant & BBQ\n",
      "24                  Karachi Golden BBQ & Paratha Roll\n",
      "25                                     Kings & Queens\n",
      "28                                Paradise Restaurant\n",
      "34                                     Downtown China\n",
      "42                                    Lebanese Corner\n",
      "43                                     Five Star Cafe\n",
      "47                                           The Spot\n",
      "62                                        Cafe Anokhi\n",
      "63                                 Al Madina Naan Hut\n",
      "68                                     Rizwan Biryani\n",
      "71            Vip Sabir Daal Chawal & Chicken Biryani\n",
      "82                                       Zaiqa Lounge\n",
      "84                                     What A Paratha\n",
      "86                          Karachi Kanteen - Gulberg\n",
      "94                               Chit Chaat - Gulberg\n",
      "95                                             Qabail\n",
      "99                                       Cafe Solasta\n",
      "100                        Bagh - The Desi Experience\n",
      "117                                            Wasabi\n",
      "121                                     Burger Corner\n",
      "122                                     Clifton Grill\n",
      "124                                  Burns Road House\n",
      "125                                   bar B Q tonight\n",
      "134                                      Nadeem Tikka\n",
      "139                             Rafay Chicken Biryani\n",
      "141                                       Snacks City\n",
      "142                                            Wazwan\n",
      "146                               Virsa Biryani Spice\n",
      "152                                  Ahmad Dhai Bhala\n",
      "155                                    Colorado Pizza\n",
      "159                                          Ice Lane\n",
      "160                                 Madina Restaurant\n",
      "164                 What a Paratha - Fortress Stadium\n",
      "165                              Gourmet Restaurant 2\n",
      "167                                       Cock N Bull\n",
      "169           Bombay Chowpatty - Fortress Square Mall\n",
      "171                            Cheen Chutney Aur Chai\n",
      "174    Balochi Sajji By Bundu Khan - Fortress Stadium\n",
      "176                                       Swadi Rasoi\n",
      "177                                  BAR-B-QUE Garden\n",
      "181                             Bundu Khan Restaurant\n",
      "182                          JAIDI Restaurant BIRYANI\n",
      "184              JAIDI Restaurant-Fast Food & Chinese\n",
      "186                                     Nawab Biryani\n",
      "187                                      Mayari Zaika\n",
      "189                                     Haleem Kinara\n",
      "194                        Eastwood LA - Bar BQ Today\n",
      "196                                   Paneera Express\n",
      "199                            Food Spot - PAF Market\n",
      "200                                        Haji Hotel\n",
      "201                                  Usman Restaurant\n",
      "202                                       Spice Kraft\n",
      "203                    Lahore Chatkhara - DHA Phase 1\n",
      "205                              Lahori Spicy Biryani\n",
      "207                                Tandoor Restaurant\n",
      "211                                     A Dar Ul Mahi\n",
      "212                                          Al-Minal\n",
      "213                                    A. Butt Karahi\n",
      "217                               Speedy Boys Kitchen\n",
      "222                         Karachi Hot N Spicy - DHA\n",
      "224                                Delhi Nihari House\n",
      "229                     Defence Dhaba - Barkat Market\n",
      "234                             Karachi Kanteen - DHA\n",
      "238                                  Thali Restaurant\n",
      "239                                       Little Chef\n",
      "240                                Tandoor Restaurant\n",
      "242                                  AR Quality Foods\n",
      "243                                 Karachi BBQ - DHA\n",
      "245                              Biryani Express KHAS\n",
      "246                                         Red Apple\n",
      "247                                Yasir Broast - Dha\n",
      "248                                  Dogar Restaurant\n",
      "249                             Cottage Grill & Gravy\n",
      "250                                     Dumpukht Kada\n",
      "251                                  MAA G KY PARATHY\n",
      "254                                      Arabic Mandi\n",
      "Name: name, dtype: object\n"
     ]
    }
   ],
   "source": [
    "food_type = ['Pakistani']\n",
    "with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
    "    print(restaurants_df[pd.DataFrame(restaurants_df.food.tolist()).isin(food_type).any(1)]['name'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### minimum and maximum value of rating for each type of delivery option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Min</th>\n",
       "      <th>Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>delivery_option</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>2.2</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restaurant Own delivery</th>\n",
       "      <td>3.3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>foodpanda delivery</th>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Min  Max\n",
       "delivery_option                  \n",
       "                         2.2  4.7\n",
       "Restaurant Own delivery  3.3  5.0\n",
       "foodpanda delivery       1.0  5.0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants_df.groupby('delivery_option')['rating(out of 5)'].agg([('Min' , 'min'), ('Max', 'max')])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### word cloud to view items that are available in most of the restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_of_food = restaurants_df['food'].values\n",
    "flat_list = [item for sublist in list_of_food for item in sublist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "word_could_dict=Counter(flat_list)\n",
    "wordcloud = WordCloud(width = 1000, height = 500).generate_from_frequencies(word_could_dict)\n",
    "\n",
    "plt.figure(figsize=(15,8))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()\n",
    "# in case you want to save it as image\n",
    "# plt.savefig('myWordCloud.png', bbox_inches='tight')\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that only few restaurants serve Middle Eastern food"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}