Dark Mode
Swiggy Partner Restaurant Data
Not Specified
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset is a collection of information related to restaurants available on the Swiggy food delivery platform. It offers valuable details about various aspects of these restaurants, allowing users to explore, analyse, and gain insights into the restaurant landscape on Swiggy. It serves as a resource for understanding dining trends and restaurant performance.
Columns
- ID: A unique identifier for each restaurant.
- Area: The geographical area where the restaurant is located.
- City: The city in which the restaurant operates.
- Restaurant: The name of the restaurant.
- Price: The average price for a meal at the restaurant.
- Avg ratings: The average rating given by customers.
- Total ratings: The total number of customers who have rated the restaurant.
- Food type: The types of cuisine or food categories offered by the restaurant.
- Address: The street address of the restaurant.
- Delivery time: The estimated time for food delivery in minutes.
Distribution
The dataset is provided in a CSV file format, named
swiggy.csv. It has a file size of 883.29 kB and contains 10 columns. There are 8680 valid records across these columns.Usage
This dataset is ideal for various applications, including:
- Market analysis of the food delivery industry.
- Identifying popular restaurants and food types.
- Understanding pricing strategies within the restaurant sector.
- Developing tools for restaurant recommendations.
- Performing data visualisations to uncover dining trends.
- Optimising food delivery logistics and services.
Coverage
The dataset covers restaurants primarily within India [1]. Specific geographical areas include various cities and localities such as Kolkata [2], Mumbai [2], and several areas in Bangalore, including Koramangala [3-5], Indiranagar [3, 4], Jogupalya [3], Domlur [4], Cooke Town [5], Pulikeshi Nagar [5], and Sivanchetti Gardens [5]. Other areas like Rohini [1, 6] and Chembur [1, 6] are also represented. The dataset is static, with an expected update frequency of 'Never' [7].
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For conducting market research, trend analysis, and building predictive models related to the food service industry.
- Food Service Industry Professionals: To gain insights into competitor offerings, popular cuisines, pricing, and customer preferences.
- App Developers: For integrating restaurant data into food-related applications or services.
- Marketing Teams: For targeted campaigns based on restaurant types, ratings, and locations.
Dataset Name Suggestions
- Swiggy Restaurant Data
- Indian Food Delivery Restaurants
- Restaurant Analytics from Swiggy
- Dining Establishments India
- Swiggy Partner Restaurant Data
Attributes
Original Data Source: Swiggy Partner Restaurant Data
QUALITY