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Beer Efficiency and Nutritional Metrics
Data Science and Analytics
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About
As individuals age or seek to maintain a healthier lifestyle, monitoring caloric intake becomes crucial, even when consuming alcohol. This collection provides a detailed analysis of beer efficiency, balancing alcohol content against caloric impact. It allows users to identify options that maximise Alcohol By Volume (ABV) while minimising calories, facilitating responsible consumption without sacrificing the desired effect. The data serves as a guide for efficient drinking, derived from public web resources to support informed dietary choices.
Columns
- name: The full commercial name of the beer.
- calories: The specific calorie count associated with the beverage.
- abv: Alcohol By Volume percentage, ranging from approximately 2.3% to 18.0%.
- efficiency: A calculated metric representing the general sense of how much alcohol is obtained per calorie consumed.
Distribution
The data is structured as a CSV file containing 269 valid records across 4 specific columns. The total file size is approximately 8.88 kB. The dataset contains zero missing values and zero mismatched records, ensuring high data integrity for immediate analysis.
Usage
- Dietary Tracking: Integration into health and fitness applications to monitor alcohol-related calorie intake.
- Nutritional Analysis: Comparative studies of different beer brands to find low-calorie, high-efficiency options.
- Data Visualisation: Creating charts and graphs to display the correlation between ABV and caloric density.
- Recommendation Engines: Building tools to suggest beers based on a user's specific efficiency or caloric preferences.
Coverage
The dataset covers a diverse range of beers, including light options and heavier stouts or porters (such as Yuengling Porter). It spans a wide spectrum of alcohol content (2.3% to 18% ABV) and caloric values (55 to 450 calories). The data is relevant for adult consumers and researchers focusing on nutritional content within the alcoholic beverage market.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For practicing regression analysis or visualisation techniques.
- Health App Developers: For populating databases in calorie-counting software.
- Nutritionists: For understanding the caloric impact of various alcohol types.
- Beer Enthusiasts: For optimising their consumption habits based on efficiency metrics.
Dataset Name Suggestions
- Beer Efficiency and Nutritional Metrics
- Alcohol By Volume vs Calorie Index
- The Efficient Drinker Database
- Beer Calorie and ABV optimiser
- Global Beer Efficiency Ratings
Attributes
Original Data Source: Beer Efficiency and Nutritional Metrics
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