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Bengaluru Dining Density and Ratings Data
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About
Provides detailed geographic and performance metrics for the Zomato restaurant landscape across various areas within Bengaluru, India. The data captures key location identifiers, restaurant density counts, and average customer ratings for specific geographic points. This information is vital for understanding the spatial distribution of dining options and assessing the general performance level of food establishments across the city.
Columns
- Name: Refers to the name of the distinct location or area within Bengaluru city. There are 88 unique area names recorded.
- count: The numerical value indicating the number of restaurants present within that specific area. Restaurant counts range from 6 to 5,124, with an average count of approximately 587.
- lat: The geographical latitude coordinate for the location.
- lon: The geographical longitude coordinate for the location.
- avg_rating: The calculated average rating of all restaurants located in that area, based on Zomato data. Ratings vary between 0 and 4.6, with a mean rating of 3.76.
Distribution
The data is contained in a single tabular file named
zomato_locations.csv, approximately 3.93 kB in size. The structure includes 5 columns and 88 unique records, ensuring 100% validity for all columns with no missing values.Usage
This data is excellent for geographical analysis and visualization projects. Potential applications include plotting detailed maps of restaurant density, identifying high-traffic food zones based on rating and count, and performing spatial analysis to inform business decisions related to the food service industry.
Coverage
The data strictly focuses on the restaurants found within the geographic confines of Bengaluru, India. It represents a static snapshot of the Zomato restaurant information for these locations, with the expected update frequency being never.
License
CC0: Public Domain
Who Can Use It
- Data Visualization Specialists: To create engaging and informative maps of restaurant distribution and average quality.
- Market Researchers: To study urban dining patterns and locate areas with high customer density or rating performance.
- Students/Academics: For coursework involving geographical information systems (GIS) or urban planning studies focused on the food sector.
Dataset Name Suggestions
- Bengaluru Zomato Location Metrics
- Indian Restaurant Geographic Snapshot (Bengaluru)
- Bengaluru Dining Density and Ratings Data
Attributes
Original Data Source: Bengaluru Dining Density and Ratings Data
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