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Swiggy Outlets by Population Density
Food & Beverage Consumption
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About
This compilation details food outlets available through the Swiggy delivery platform within 49 of India's largest cities by population. It serves as a resource for market analysis, exploratory data analysis, and visualising the operational footprint and variety of cuisines offered by one of India’s leading food delivery services. The information allows for geographical comparisons of restaurant density, pricing trends, and customer ratings.
Columns
- Restaurant Name: The registered name of the food establishment.
- Category: Details the specific cuisines offered by the restaurant (e.g., Indian, Chinese).
- Rating: The average rating provided by users of the platform.
- Cost for two: The estimated cost in Rupee for a meal shared by two people.
- Veg: A Boolean indicator specifying whether the restaurant serves only vegetarian food (true or false).
- city: The Indian city where the restaurant is situated.
- Area: The broader area within the city where the establishment is located.
- Locality: The specific neighbourhood or locality of the establishment.
- Address: The full physical address of the restaurant.
- Long Distance Delivery: An indicator (0 for no, 1 for yes) of whether the outlet facilitates long-distance deliveries.
Distribution
The data is provided in CSV format under the filename
Swiggy_50.csv. The file size is 5.69 MB. It includes ten columns describing approximately 31.8 thousand records of restaurant data.Usage
This information is ideal for applications involving data analytics and data visualisation. Users can conduct exploratory data analysis to uncover regional dining trends, investigate the correlation between cost and user ratings, or map the distribution of specific cuisine categories across India’s major cities. It is highly useful for market research concerning the Indian food delivery sector.
Coverage
The dataset focuses geographically on the top 50 most populous cities in India, based on external city population data, resulting in coverage of 49 distinct cities due to the exclusion of Srinagar where Swiggy does not operate. This provides a deep snapshot of the restaurant landscape in key Indian metropolitan areas. Updates to this data are expected to occur annually.
License
CC0: Public Domain
Who Can Use It
- Data Scientists/Analysts: For building predictive models related to restaurant success, popularity, or market saturation.
- Business Researchers: To study operational trends of online food delivery platforms and conduct competitor analysis.
- Students/Academics: For projects focused on urban geography, consumer behaviour, and Indian market studies.
- Food Entrepreneurs: To identify potential market gaps or underserved localities in major Indian cities.
Dataset Name Suggestions
- Swiggy Restaurant Listings in Major Indian Cities
- Indian Food Delivery Market Data
- Top 50 Indian City Swiggy Restaurants
- Swiggy Outlets by Population Density
Attributes
Original Data Source: Swiggy Outlets by Population Density
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