A red wine tasting preference data used in the study of Cortez, Cerdeira, Almeida, Matos, and Reis 2009. This red wine contains 1599 samples and 12 variables including the tasting preference score of red wine and its physicochemical characteristics.
Usage
data(RedWine)Format
A data frame with 1599 rows, quality score, and 11 variables of physicochemical properties of wines.
qualityTasting preference is a rating score provided by a minimum of three sensory with ordinal values from 0 (very bad) to 10 (excellent). The final sensory score is the median of these evaluations.fixed.acidityThe fixed acidity is the physicochemical property in unit (g(tartaric acid)/dm^3).volatile.acidityThe volatile acidity is in unit g(acetic acid)/dm^3.citric.acidThe citric acidity is in unit g/dm^3.residual.sugarThe residual sugar is in unit g/dm^3.chloridesThe chlorides is in unit g(sodium chloride)/dm^3.free.sulfur.dioxideThe free sulfur dioxide is in unit mg/dm^3.total.sulfur.dioxideThe total sulfur dioxide is in unit mg/dm^3.densityThe density is in unit g/cm^3.pHThe wine's pH value.sulphatesThe sulphates is in unit g(potassium sulphates)/dm^3.alcoholThe alcohol is in unit \
References
Cortez, P., Cerdeira, A., Almeida, F., Matos, T., and Reis, J. (2009), “Modeling wine preferences by data mining from physicochemical properties,” Decision Support Systems, 47, 547–553. doi:10.1016/j.dss.2009.05.016
Examples
head(RedWine)
#> quality fixed.acidity volatile.acidity citric.acid residual.sugar chlorides
#> 1 5 7.4 0.70 0.00 1.9 0.076
#> 2 5 7.8 0.88 0.00 2.6 0.098
#> 3 5 7.8 0.76 0.04 2.3 0.092
#> 4 6 11.2 0.28 0.56 1.9 0.075
#> 5 5 7.4 0.70 0.00 1.9 0.076
#> 6 5 7.4 0.66 0.00 1.8 0.075
#> free.sulfur.dioxide total.sulfur.dioxide density pH sulphates alcohol
#> 1 11 34 0.9978 3.51 0.56 9.4
#> 2 25 67 0.9968 3.20 0.68 9.8
#> 3 15 54 0.9970 3.26 0.65 9.8
#> 4 17 60 0.9980 3.16 0.58 9.8
#> 5 11 34 0.9978 3.51 0.56 9.4
#> 6 13 40 0.9978 3.51 0.56 9.4