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Food Service Analytics Dataset
Food & Beverage Consumption
Tags and Keywords
Trusted By
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Free
About
This dataset is a collection of restaurant information gathered from the popular online food delivery platform, Zomato. It offers valuable insights into the restaurant industry, customer preferences, and regional culinary trends. The data includes key attributes such as restaurant location, cuisine types, customer ratings, and user reviews, making it ideal for in-depth analysis and research.
Columns
- Unnamed: 0: An index column for the records, ranging from 0 to 7104.
- restaurant name: The unique name of each restaurant, with 7105 distinct entries.
- restaurant type: Categorisation of restaurants, with 81 unique types such as 'Quick Bites' (40%) and 'Casual Dining' (23%).
- rate (out of 5): The average rating of the restaurant, on a scale of 1.8 to 4.9, with a mean of 3.51.
- num of ratings: The total number of ratings received by each restaurant, ranging from 1 to 16,345.
- avg cost (two people): The average cost for two people dining at the restaurant, ranging from £40 to £6,000, with a mean of £540.
- online_order: A boolean indicator showing whether the restaurant offers online ordering; 52% of restaurants in the dataset provide this facility.
- table booking: A boolean indicator showing whether the restaurant offers table booking; 10% of restaurants provide this facility.
- cuisines type: The types of cuisines offered by the restaurant, with 2175 unique combinations such as 'North Indian, Chinese' (6%) and 'North Indian' (6%).
- area: The geographic area where the restaurant is located, including 30 unique areas such as 'Byresandra, Tavarekere, Madiwala' (11%) and 'Bannerghatta Road' (8%).
- local address: Specific local address details for the restaurants, including 90 unique addresses like 'Whitefield' (6%) and 'BTM' (6%).
Distribution
The dataset is provided in a CSV format and has a file size of 819.85 kB. It contains 12 columns and consists of 7105 records.
Usage
This dataset is well-suited for:
- Researchers looking to study patterns and trends within the restaurant industry.
- Data enthusiasts interested in exploring food and dining preferences.
- Analysts aiming to gain insights into customer behaviour, regional culinary variations, and the impact of online services (like online ordering and table booking) on restaurant operations.
- Building predictive models for restaurant success or popularity.
- Geographic analysis of restaurant density and types.
Coverage
The dataset primarily covers restaurant data from India, focusing on specific areas such as Byresandra, Tavarekere, Madiwala, Bannerghatta Road, Whitefield, and BTM. There is no specific time range mentioned for data collection, and it is listed with an expected update frequency of 'Never'. The demographic scope relates to customer preferences and ratings for various restaurants.
License
CC0: Public Domain
Who Can Use It
- Researchers: For academic studies on the hospitality sector and consumer behaviour.
- Data Enthusiasts: For personal projects, skill development, and portfolio building.
- Analysts: For market research, business intelligence, and strategic planning within the food service industry.
- Start-ups: To identify market gaps or validate business ideas related to food delivery and dining.
Dataset Name Suggestions
- Zomato Restaurant Insights
- Indian Restaurant Data
- Food Service Analytics Dataset
- Restaurant Ratings and Cuisines
- Zomato Dining Data
Attributes
Original Data Source: Food Service Analytics Dataset
QUALITY