winetaste: Wine taste data
In mpae: Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods)

winetaste

R Documentation

Wine taste data

Description

A subset related to the white variant of the Portuguese "Vinho Verde" wine, containing physicochemical information (fixed.acidity, volatile.acidity, citric.acid, residual.sugar, chlorides, free.sulfur.dioxide, total.sulfur.dioxide , density, pH, sulphates and alcohol) and sensory (taste), which indicates the quality of the wine (it is considered good if the median of the wine quality evaluations, made by experts, who evaluated them between 0 = very bad and 10 = very excellent, is not less than 6.

Usage

winetaste

Format

A data frame with 1,250 rows and 12 columns:

fixed.acidity: fixed acidity
volatile.acidity: volatile acidity
citric.acid: citric acid
residual.sugar: residual sugar
chlorides: chlorides
free.sulfur.dioxide: free sulfur dioxide
total.sulfur.dioxide: total sulfur dioxide
density: density
pH: pH
sulphates: sulphates
alcohol: alcohol
taste: factor with levels "good" and "bad" indicating the quality of the wine

Details

For more details, consult https://www.vinhoverde.pt/en/ or the reference Cortez et al. (2009).

Source

UCI Machine Learning Repository: https://archive.ics.uci.edu/dataset/186/wine+quality.

References

Cortez, P., Cerdeira, A., Almeida, F., Matos, T., & Reis, J. (2009). Modeling wine preferences by data mining from physicochemical properties. Decision Support Systems, 47(4), 547-553.

Examples

winetaste <- winequality[, names(winequality)!="quality"]
winetaste$taste <- factor(winequality$quality < 6,
                      labels = c('good', 'bad')) # levels = c('FALSE', 'TRUE')
str(winetaste)

mpae documentation built on May 29, 2024, 5:25 a.m.