Context

This dataset is created for students to explore the field with real-life data. Using Swiggy data will help them to analyze the restaurant's data from all over India based on different factors like cuisine, cost, states, regions, reviews, ratings, etc.

This dataset contains 10 different features of each restaurant listed on the website of Swiggy which you can find below

• id - Every restaurant is having a unique ID
• name - Name of the Restaurant
• city - The city where the restaurant is located
• rating - Rating of the Restaurant
• rating_count - Number of People given the Rating
• cost - Cost of eating in that restaurant
• cuisine - Cuisines that restaurant serves
• lic_no - License number of that restaurant
• link - Restaurant link on Swiggy website
• address - Full address of the restaurant

## Acknowledgments

The data has been scraped from the official Swiggy Website and is available under the Creative Commons License.

## Inspiration

As Swiggy is one of the leading food delivery platforms with more than 100k restaurants listed all around India so I've created this dataset so that people can apply their skills to understand this market in a better manner.

This dataset can help you to answer the following question

• How many restaurants are listed on Swiggy in India?
• How many cities are having restaurants that are listed on Swiggy?
• Which city is having the maximum number of restaurants?
• Top 10 cities as per the number of restaurants listed?
• Most Popular Cuisines served throughout the dataset?
• Which city is having the least expensive restaurant in terms of cost?
• Top 5 most popular restaurant chains in India?
• Which restaurant in Banglore has the most number of people visited(take a number of reviews for reference)?

There are a lot of other things you can also get from the dataset that I would love to see from your notebooks.

Enjoy Learning!