Zomato Urban Food Scene
Food & Beverage Consumption
Tags and Keywords
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About
This dataset offers detailed information on restaurants and cafés located in the metropolitan areas of Pune and Bangalore, India. Compiled from Zomato, a popular online food guide and delivery service, it provides insights into nearly 9,000 establishments, including their names, categories, pricing, ratings for both dining and delivery, and contact details. It is a valuable resource for understanding the urban culinary landscape and consumer preferences in these key Indian cities.
Columns
- Restaurant_Name: Holds the name of the restaurant.
- Category: Indicates the type of food or cuisine the restaurant/café serves.
- Pricing_for_2: Represents the estimated price for a meal for two people, as listed on Zomato, for either ordering or dining in.
- Locality: Specifies the exact locality or street where the restaurant is situated.
- Dining_Rating: Provides the average rating given by customers who have dined in at the restaurant.
- Dining_Review_Count: Shows the total count of dining ratings submitted for the establishment.
- Delivery_Rating: Displays the average rating from customers who have ordered food online from the restaurant, if applicable.
- Delivery_Rating_Count: The total count of delivery ratings received for the restaurant.
- Website: The Zomato URL for the particular restaurant's page.
- Address: The full street address of the restaurant.
- Phn_no: The restaurant's phone number as listed on Zomato.
- Latitude: The geographic latitude coordinate for the restaurant's location.
- Longitude: The geographic longitude coordinate for the restaurant's location.
- Known_For1: Describes a primary characteristic the restaurant is famous for (e.g., ambience, specific food item).
- Known_For2: Provides a secondary characteristic the restaurant is known for.
Distribution
The dataset is primarily available in CSV format, with a specific file like
Bangalore_Restaurants.csv
being 1.42 MB in size. It encompasses a database of approximately 9,000 restaurants and cafés. While the full row count is not explicitly stated for the entire 9,000 restaurants, individual column statistics suggest thousands of entries per metropolitan area. The data is expected to be updated quarterly.Usage
This dataset is ideal for a variety of applications, including:
- Market Analysis: Identifying trends in restaurant types, pricing, and consumer preferences in Pune and Bangalore.
- Business Intelligence: For food-related businesses looking to understand the competitive landscape or identify potential locations.
- Academic Research: Studying urban development, consumer behaviour in the food sector, or geographic distribution of services.
- Application Development: Building recommendation systems or location-based services for food enthusiasts.
- Urban Planning: Analysing the density and types of food establishments in different localities.
Coverage
The dataset focuses on the metropolitan areas of Pune and Bangalore in India. It includes information on restaurants and cafés listed on Zomato within these cities. There are no specific notes regarding data availability for particular demographic groups or specific years; the dataset represents a snapshot of Zomato listings at the time of scraping, with quarterly updates expected.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For extracting insights into the food and beverage industry.
- Market Researchers: To conduct studies on restaurant trends, pricing strategies, and customer satisfaction.
- Entrepreneurs: Individuals looking to open new food businesses in Pune or Bangalore can assess market gaps.
- Urban Researchers: To study the service sector development and consumer patterns in Indian cities.
- Students: For academic projects related to data science, geography, or business studies.
Dataset Name Suggestions
- Zomato Restaurants Pune & Bangalore
- Indian Metropolitan Restaurant Database
- Pune Bangalore Dining Insights
- Zomato Urban Food Scene
- India City Restaurant Data
Attributes
Original Data Source: Zomato Urban Food Scene