EX6.WINE {regclass}

WINE data for Exercise 3 Chapter 6

Description

WINE data for Exercise 3 Chapter 6

Usage

data("EX6.WINE")

Format

A data frame with 2700 observations on the following 12 variables.

Quality

a factor with levels High Low

fixed.acidity

a numeric vector

volatile.acidity

a numeric vector

citric.acid

a numeric vector

residual.sugar

a numeric vector

free.sulfur.dioxide

a numeric vector

total.sulfur.dioxide

a numeric vector

density

a numeric vector

pH

a numeric vector

sulphates

a numeric vector

alcohol

a numeric vector

chlorides

a factor with levels Little Lots

Details

Adapted from the wine quality dataset at the UCI data repository. In this case, the original quality metric has been recoded from a score between 0 and 10 to either High or Low, and the chlorides is treated here as a categorical variable instead of a quantitative variable.

Source

https://archive.ics.uci.edu/ml/datasets/Wine+Quality

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.