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Dataset assetOpen Source CommunityData AnalysisHealth Monitoring
bodyfat dataset
The dataset records body‑fat percentage, age, weight, height, and ten body‑circumference measurements (e.g., waist) for 252 male subjects. Body‑fat, a health indicator, is accurately estimated via underwater weighing. By applying multivariate regression, body‑fat can be predicted using only a scale and a measuring tape, providing a convenient method for estimating male body‑fat.
Source
github
Created
Nov 19, 2021
Updated
Nov 19, 2021
Signals
304 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Name
BODY‑FAT‑ESTIMATION
Dataset Content
- Contains data from 252 males.
- Records the following metrics:
- Body‑fat percentage
- Age
- Weight
- Height
- Ten body‑circumference measurements (e.g., abdominal circumference)
Intended Use
- Using multivariate regression, fit body‑fat percentages with other measurements, enabling estimation of male body‑fat using only a scale and a measuring tape.
Dataset Characteristics
- Body‑fat percentages are accurately estimated through underwater weighing.
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