Wine Quality Dataset
Red and White variants of the Portuguese "Vinho Verde" wine
Type of Data
| Attributes | Characteristic |
|---|---|
| Type | Categorical |
| Fixed Acidity | Numerical |
| Volatile Acidity | Numerical |
| Citric Acid | Numerical |
| Residual Sugar | Numerical |
| Chlorides | Numerical |
| Free Sulfur Dioxide | Numerical |
| Total Sulfur Dioxide | Numerical |
| Density | Numerical |
| pH | Numerical |
| Sulphates | Numerical |
| Alcohol | Numerical |
| Quality | Numerical |
Original Data Set
The orginal dataset was two csv files (although separated by ";") split by red and white wines. You can find the dataset and more information at this link. I used R to combine these two files and rename the columns, as well as add in a column to show whether it was red or white wine. Below is an snapshot of the dataset:
| fixedAcidity | volatileAcidity | citricAcid | residualSugar | chlorides | freeSulfurDioxide | totalSulfurDioxide | density | pH | sulphates | alcohol | quality | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7.0 | 0.270 | 0.36 | 20.70 | 0.045 | 45.0 | 170.0 | 1.00100 | 3.00 | 0.45 | 8.8 | 6 | white |
| 6.3 | 0.300 | 0.34 | 1.60 | 0.049 | 14.0 | 132.0 | 0.99400 | 3.30 | 0.49 | 9.5 | 6 | white |
| 8.1 | 0.280 | 0.40 | 6.90 | 0.050 | 30.0 | 97.0 | 0.99510 | 3.26 | 0.44 | 10.1 | 6 | white |
| 7.8 | 0.760 | 0.04 | 2.30 | 0.092 | 15.0 | 54.0 | 0.99700 | 3.26 | 0.65 | 9.8 | 5 | red |
| 7.8 | 0.880 | 0.00 | 2.60 | 0.098 | 25.0 | 67.0 | 0.99680 | 3.20 | 0.68 | 9.8 | 5 | red |
| 7.4 | 0.700 | 0.00 | 1.90 | 0.076 | 11.0 | 34.0 | 0.99780 | 3.51 | 0.56 | 9.4 | 5 | red |
You can view the entire dataset as well as the original datasets (split between red and white wine) in my repository here.
Why I Chose this Dataset
The main reason I chose this dataset is because I LOVE WINE. Aside from that, I thought it would be interesting to see the different attributes of the different types of wine and how it correlates with how people like each wine. I wanted to see if there is a difference between red and white wines. I think that there are a lot of components to make a good wine and visualizing this will help to understand it more.
License Information
P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.
Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, 47(4):547-553, 2009.