Red--White-wine-Dataset contains measurements of wine properties related to perceived quality. The data was obtained from a third-party industry organization for analysis by Digitas Advanced Analytics on behalf of Unicorn Winery. The dataset is shared under a CC0-1.0 license.
Use Cases
- Predicting wine quality scores based on physiochemical properties like acidity and alcohol content.
- Identifying which chemical properties winemakers can modify to improve consumer perception.
- Building classification models to categorize wines by quality tier using sensory and chemical data.
Strengths
- Dataset is explicitly linked to a defined business problem for a winery.
- Platform tags indicate the data includes features for both regression and classification tasks.
- Released under a permissive CC0-1.0 public domain license.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Third-party industry organization, obtained by Digitas Advanced Analytics.
- Collection Method
- Likely contains laboratory measurements of wine samples.