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Bangalore Chain Restaurant Ratings and Location Data
Product Reviews & Feedback
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About
An insightful collection of data detailing the dynamic restaurant landscape within Bangalore, India. This resource provides valuable information regarding chain dining establishments, allowing for the analysis of customer feedback and satisfaction levels. Key metrics include customer ratings, review counts, and essential geographical data such as latitude and longitude coordinates. The data was gathered via automated web scraping of Google Maps and subsequently underwent a rigorous cleaning process to ensure data quality and uniformity, alongside geocoding for precise location analysis. This resource is ideal for understanding market trends and locating popular dining establishments.
Columns
- Name The name of the specific restaurant chain outlet. (72 unique entries, with Domino's Pizza and Cafe Coffee Day being the most common)
- Rating The customer rating given to the restaurant, scaled out of 5. (The mean rating is 3.85)
- Review_count The total number of people who have provided reviews for the restaurant. (The mean review count is 1.62k. Note: 4% of records are missing this count)
- Category The primary cuisine type offered by the restaurant. (Pizza and Burger are the two most frequently observed categories)
- Sub_Category A secondary classification of the restaurant type. (Fast food is the most common sub-category at 37%)
- Address The physical location address of the restaurant. (98% of records contain valid addresses)
- Latitude The latitude coordinate derived from geocoding the restaurant address. (Mean latitude is 13)
- Longitude The longitude coordinate derived from geocoding the restaurant address. (Mean longitude is 77.6)
Distribution
The dataset is structured as a single data file, named
bangalore restaurant chain.csv, with a size of 204.47 kB. It contains 8 columns and holds 1826 valid records or rows. Updates to the data are expected on a quarterly basis.Usage
This data product is perfectly suited for several analytical applications, including:
- Performing exploratory data analysis on the Bangalore food service market.
- Investigating customer satisfaction and feedback patterns based on ratings and review counts.
- Conducting precise geospatial analysis to map and compare restaurant locations.
- Studying market penetration and identifying specific restaurant trends across food categories.
- Utilising the resource for intermediate level data cleaning and analytics practice.
Coverage
The data focuses exclusively on chain restaurants operating within the geographic area of Bangalore, India. It includes a diverse range of food categories and sub-categories. Precise geographic coordinates were derived through geocoding the restaurant addresses, enabling accurate location plotting.
License
CC0: Public Domain
Who Can Use It
- Data enthusiasts and analysts For practicing data analytics and data cleaning techniques.
- Researchers For studying urban restaurant trends and consumer behaviour in metropolitan areas.
- Foodies and Consumers For seeking the best dining spots and identifying high-rated establishments in Bangalore.
- Market Researchers For assessing the competitive landscape and performance of specific chain outlets.
Dataset Name Suggestions
- Bangalore Chain Restaurant Ratings and Location Data
- Chain Restaurant Customer Feedback in Bangalore
- Geospatial Data of Bangalore Eateries
- Indian Chain Restaurant Performance Metrics
Attributes
Original Data Source: Bangalore Chain Restaurant Ratings and Location Data
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