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PROJECT 028 / 102 · Food science

Alcohol and quality within wine type.

How does median sensory quality vary across declared alcohol bands within red and white samples?

Focused analytical studyWine qualityExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 6.725 for white / (13, 20]; the smallest is 5.293 for red / (9, 10]. Metric: mean_quality (Sensory score).

Require at least 30 samples per band. Other chemical attributes differ between these groups.

Alcohol and quality within wine type — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 11 of 11 rows. Values rounded for display; source units and raw column names are retained in the download.
wine typealcohol bandsamplesmedian qualitymean qualitygroup
red(0, 9]3765.351red / (0, 9]
red(10, 11]44465.691red / (10, 11]
red(11, 12]26766.071red / (11, 12]
red(12, 13]11866.424red / (12, 13]
red(9, 10]71055.293red / (9, 10]
white(0, 9]50255.6white / (0, 9]
white(10, 11]1,25265.864white / (10, 11]
white(11, 12]85066.191white / (11, 12]
white(12, 13]60976.571white / (12, 13]
white(13, 20]10276.725white / (13, 20]
white(9, 10]1,58355.488white / (9, 10]
Download the complete result table ↓

THE METHOD

From source to answer

Stratified alcohol bands with sample counts and quality medians.

The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.

THE NEXT DECISION

What follows from the finding

Use the stratified pattern to motivate a controlled laboratory study rather than a recipe claim.

Where the conclusion stops

Sensory scores are ordinal and concentrated in the middle. Producer and batch IDs are unavailable. Associations are not recipes for changing quality or evidence of market price.

Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.