Baselight

Zomato Bangalore Dataset

Restaurants of Bengaluru.

@kaggle.lovishbansal123_zomato_bangalore_dataset

About this Dataset

Zomato Bangalore Dataset

Context
I was always fascinated by the food culture of Bengaluru. Restaurants from all over the world can be found here in Bengaluru. From United States to Japan, Russia to Antarctica, you get all type of cuisines here. Delivery, Dine-out, Pubs, Bars, Drinks,Buffet, Desserts you name it and Bengaluru has it. Bengaluru is best place for foodies. The number of restaurant are increasing day by day. Currently which stands at approximately 12,000 restaurants. With such an high number of restaurants. This industry hasn't been saturated yet. And new restaurants are opening every day. However it has become difficult for them to compete with already established restaurants. The key issues that continue to pose a challenge to them include high real estate costs, rising food costs, shortage of quality manpower, fragmented supply chain and over-licensing. This Zomato data aims at analysing demography of the location. Most importantly it will help new restaurants in deciding their theme, menus, cuisine, cost etc for a particular location. It also aims at finding similarity between neighborhoods of Bengaluru on the basis of food. The dataset also contains reviews for each of the restaurant which will help in finding overall rating for the place.

Content
The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment
of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru
being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world.
With each day new restaurants opening the industry has’nt been saturated yet and the demand is increasing
day by day. Inspite of increasing demand it however has become difficult for new restaurants to compete with
established restaurants. Most of them serving the same food. Bengaluru being an IT capital of India. Most of
the people here are dependent mainly on the restaurant food as they don’t have time to cook for themselves.
With such an overwhelming demand of restaurants it has therefore become important to study the demography
of a location. What kind of a food is more popular in a locality. Do the entire locality loves vegetarian food.
If yes then is that locality populated by a particular sect of people for eg. Jain, Marwaris, Gujaratis who are
mostly vegetarian. These kind of analysis can be done using the data, by studying the factors such as
• Location of the restaurant
• Approx Price of food
• Theme based restaurant or not
• Which locality of that city serves that cuisines with maximum number of restaurants
• The needs of people who are striving to get the best cuisine of the neighborhood
• Is a particular neighborhood famous for its own kind of food.

“Just so that you have a good meal the next time you step out”

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