US Chipotle Restaurant Data
Food & Beverage Consumption
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About
This dataset provides the locations of every Chipotle restaurant within the United States. It offers a valuable resource for geospatial analysis, allowing users to understand the geographic distribution of this popular fast-casual restaurant chain. The dataset was compiled to facilitate learning data scraping and geospatial analysis techniques, with a potential application in identifying suitable areas for new Chipotle outlets.
Columns
- state: Represents the US State or Territory where the restaurant is located. Examples include California and Texas.
- location: Typically specifies the Town or City, though it can sometimes be more or less specific. Common values include New York and Chicago.
- address: The full street address of the Chipotle restaurant. Each address is unique within the dataset.
- latitude: The geographical latitude coordinate of the restaurant's location.
- longitude: The geographical longitude coordinate of the restaurant's location.
Distribution
The dataset is provided as a CSV file, named
chipotle_stores.csv
, with a size of approximately 262.94 KB. It contains 5 distinct columns and 2629 records, all of which are valid with no mismatched or missing entries for the listed columns. There are no anticipated updates to this dataset.Usage
This dataset is ideal for various applications, including:
- Geospatial Analysis: Analysing the spatial patterns and distribution of Chipotle restaurants across the US.
- Market Research: Understanding current market penetration and potential saturation in different regions.
- Location Planning: When combined with US population data, it can help in identifying areas that could sustain new restaurant locations.
- Data Scraping Practice: A practical example for those looking to develop or practice data scraping skills.
- Clustering: Suitable for applying clustering algorithms to group restaurant locations based on proximity or other attributes.
Coverage
The dataset covers Chipotle restaurant locations across the United States. It includes locations in 48 unique states, with California and Texas being the most represented. The geographical scope ranges from approximately 25.5 to 48.8 in latitude and -124 to -68.8 in longitude. The location column features 1368 unique city/town entries, including major metropolitan areas like New York and Chicago. The data represents the current footprint of Chipotle stores at the time of its creation.
License
CC BY-NC-SA 4.0
Who Can Use It
- Data Analysts: For exploring spatial data and performing geographical analysis.
- Business Strategists: To inform decisions related to market expansion and location strategy within the fast-casual dining sector.
- Students and Educators: As a practical dataset for learning about data scraping, geospatial analysis, and data visualisation.
- Researchers: Studying patterns in retail location choices or consumer access to fast-casual food chains.
Dataset Name Suggestions
- Chipotle US Store Locations
- United States Chipotle Restaurant Data
- Chipotle America Footprint
- US Fast-Casual Outlet Locations - Chipotle
Attributes
Original Data Source: US Chipotle Restaurant Data