Nutrition and Health Records for 6,000 Individuals with BMI and Diet Types

6,000 records describe individual nutrition and health status. The data includes 15 features covering body mass index (BMI), macronutrient intake, and diet types. The author, organization, and last update date are unknown.

Use Cases

• Predicting health status based on BMI and macronutrient intake mentioned in the description
• Clustering individuals into distinct dietary patterns based on diet type data
• Analyzing correlations between specific macronutrients and body mass index (BMI)

Strengths

• Dataset contains 6,000 individual records, providing a substantive sample size.
• Includes 15 features per record, covering multiple health and nutrition dimensions like BMI and diet types.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Kaggle