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High-Rated Mumbai Eateries Data
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Details restaurants located in Mumbai, India, sourced from the popular travel and restaurant review platform, Trip Advisor. The data serves as a snapshot of the local dining scene, focusing specifically on establishments that hold a minimum rating of 3.5. It is useful for understanding customer feedback metrics, pricing structure, and location data for food service providers in the city. Note that while many addresses are unique, some restaurants may appear multiple times due to being part of the same chain located at different addresses. The initial data collection spanned one day.
Columns
The dataset features 13 distinct fields providing detailed information about each establishment:
- name: The registered name of the dining establishment.
- address: The physical address of the restaurant.
- Phone: Contact telephone number for the establishment.
- price_range_from: The starting value of the typical price range.
- price_range_to: The ending value of the typical price range.
- cuisines: The type(s) of food served by the restaurant (e.g., Indian).
- rating: The user rating given to the restaurant, calculated out of a maximum of 5.
- review_count: The overall total number of reviews received.
- excellent_count: The number of reviews classified as 'Excellent'.
- very_good_count: The number of reviews classified as 'Very Good'.
- average_count: The number of reviews classified as 'Average'.
- poor_count: The number of reviews classified as 'Poor'.
- terrible_count: The number of reviews classified as 'Terrible'.
Distribution
This data product is typically available in a CSV format. It currently contains 2,996 records (rows) and 13 attributes (columns). The file size is approximately 456.66 kB. Due to the initial scraping method, there are varying levels of missing data, particularly in the
price_range_from and price_range_to columns, which are largely unavailable, and the cuisines and Phone fields which also show missing entries. All review count fields and core identification fields like name and address have minimal missing records. The expected update frequency for this specific version is Never.Usage
This dataset is an ideal resource for several analytical tasks, including:
- Data Cleaning and Preprocessing: Practicing data transformation and handling missing values, especially concerning pricing information.
- Correlation Analysis: Investigating the relationship between factors like rating, cuisine type, and review counts.
- Identifying Top Performers: Pinpointing the highest-rated restaurants in Mumbai based on the provided metrics.
- Geospatial Analysis: Visualising the distribution and density of high-rated dining venues across the city.
Coverage
The data focuses exclusively on Mumbai, India. It encompasses restaurants that have received ratings up to the 5.0 level but only includes those achieving a minimum rating of 3.5. The temporal coverage is a snapshot in time corresponding to the scraping date; it does not include ongoing time series data.
License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists: For model building, statistical analysis, and practicing skills like data wrangling and exploration.
- Market Researchers: To gain insight into consumer preferences and competitor performance within the Mumbai hospitality sector.
- Students: As a real-world, structured dataset for educational projects in data analytics, Python, and Plotly visualisations.
Dataset Name Suggestions
- Mumbai Trip Advisor Restaurant Ratings
- High-Rated Mumbai Eateries Data
- Mumbai Restaurant Review Metrics
- India Restaurant Data Snapshot
Attributes
Original Data Source: High-Rated Mumbai Eateries Data
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