Learn practical skills, build real-world projects, and advance your career

Zomato Restaurant Analysis

Explonatory Data Analysis - Resturants, Zomato

I really get fascinated by good quality food being served in the restaurants and would like to help community find the best cuisines around their area.

Zomato API Analysis is one of the most useful analysis for foodies who want to taste the best cuisines of every part of the world which lies in their budget. This analysis is also for those who want to find the value for money restaurants in various parts of the country for the cuisines. Additionally, this analysis caters the needs of people who are striving to get the best cuisine of the country and which locality of that country serves that cuisines with maximum number of restaurants.♨️

Content

  • Restaurant Id: Unique id of every restaurant across various cities of the world
  • Restaurant Name: Name of the restaurant
  • Country Code: Country in which restaurant is located
  • City: City in which restaurant is located
  • Address: Address of the restaurant
  • Locality: Location in the city
  • Locality Verbose: Detailed description of the locality
    -_Longitude: Longitude coordinate of the restaurant's location
  • Latitude: Latitude coordinate of the restaurant's location
  • Cuisines: Cuisines offered by the restaurant
  • Average Cost for two: Cost for two people in different currencies 👫
  • Currency: Currency of the country
  • Has Table booking: yes/no
  • Has Online delivery: yes/ no
  • Is delivering: yes/ no
  • Switch to order menu: yes/no
  • Price range: range of price of food
  • Aggregate Rating: Average rating out of 5
  • Rating color: depending upon the average rating color
  • Rating text: text on the basis of rating of rating
  • Votes: Number of ratings casted by people

Index of contents

from google.colab import files
files.upload()

! pip install opendatasets --upgrade
import opendatasets as od

dataset_url = 'https://www.kaggle.com/shrutimehta/zomato-restaurants-data'
od.download(dataset_url)
Saving kaggle.json to kaggle.json Collecting opendatasets Downloading https://files.pythonhosted.org/packages/18/99/aaa3ebec81dc347302e730e0daff61735ed2f3e736129553fb3f9bf67ed3/opendatasets-0.1.10-py3-none-any.whl Requirement already satisfied, skipping upgrade: tqdm in /usr/local/lib/python3.7/dist-packages (from opendatasets) (4.41.1) Requirement already satisfied, skipping upgrade: kaggle in /usr/local/lib/python3.7/dist-packages (from opendatasets) (1.5.12) Requirement already satisfied, skipping upgrade: click in /usr/local/lib/python3.7/dist-packages (from opendatasets) (7.1.2) Requirement already satisfied, skipping upgrade: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (1.24.3) Requirement already satisfied, skipping upgrade: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (4.0.1) Requirement already satisfied, skipping upgrade: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2.8.1) Requirement already satisfied, skipping upgrade: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2020.12.5) Requirement already satisfied, skipping upgrade: requests in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2.23.0) Requirement already satisfied, skipping upgrade: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (1.15.0) Requirement already satisfied, skipping upgrade: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle->opendatasets) (1.3) Requirement already satisfied, skipping upgrade: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle->opendatasets) (2.10) Requirement already satisfied, skipping upgrade: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle->opendatasets) (3.0.4) Installing collected packages: opendatasets Successfully installed opendatasets-0.1.10
0%| | 0.00/5.47M [00:00<?, ?B/s]
Downloading zomato-restaurants-data.zip to ./zomato-restaurants-data
100%|██████████| 5.47M/5.47M [00:00<00:00, 12.2MB/s]