Dataset research report
Wine research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Wine The Wine dataset from Kaggle. Classify wine as red or white. Configurations and tasks Configuration Task Description wine Binary classification Is this red wine? Usage from datasets import load_dataset dataset = load_dataset("mstz/wine")["train"]
Research Context
Wine: 500 rows by 13 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
fixed_acidity vs volatile_acidity
Relationship between fixed_acidity and volatile_acidity.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartFollow-Up Queries
Preview Rows
| # | fixed_acidityfloat | volatile_acidityfloat | citric_acidfloat | residual_sugarfloat | chloridesfloat | free_sulfur_dioxidefloat | total_sulfur_dioxidefloat | densityfloat |
|---|---|---|---|---|---|---|---|---|
| 1 | 7.4 | 0.7 | 0 | 1.9 | 0.076 | 11 | 34 | 0.9978 |
| 2 | 7.8 | 0.88 | 0 | 2.6 | 0.098 | 25 | 67 | 0.9968 |
| 3 | 7.8 | 0.76 | 0.04 | 2.3 | 0.092 | 15 | 54 | 0.997 |
| 4 | 11.2 | 0.28 | 0.56 | 1.9 | 0.075 | 17 | 60 | 0.998 |
| 5 | 7.4 | 0.7 | 0 | 1.9 | 0.076 | 11 | 34 | 0.9978 |
| 6 | 7.4 | 0.66 | 0 | 1.8 | 0.075 | 13 | 40 | 0.9978 |
Data Dictionary
- fixed_acidity numeric
- volatile_acidity numeric
- citric_acid numeric
- residual_sugar numeric
- chlorides numeric
- free_sulfur_dioxide numeric
- total_sulfur_dioxide numeric
- density numeric
- pH numeric
- sulphates numeric
- alcohol numeric
- quality numeric
- is_red numeric
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.