spinifex (version 0.2.5)

wine: The wine dataset from the UCI Machine Learning Repository.

Description

The wine dataset contains the results of a chemical analysis of wines grown in a specific area of Italy. Three types of wine are represented in the 178 samples, with the results of 13 chemical analyses recorded for each sample. The Type variable has been transformed into a categorical variable.

Usage

wine

Format

data frame of 178 observations of 13 variables, target class Type and 12 numeric variables.

Details

The data contains no missing values and consist of only numeric data, with a three class target variable (Type) for classification.

Data frame of 178 observations of 13 variables, target class Type and 12 numeric variables:

• Type, The type of wine, into one of three classes, 1 (59 obs), 2(71 obs), and 3 (48 obs).

• Alcohol, Alcohol

• Malic, Malic acid

• Ash, Ash

• Alcalinity, Alcalinity of ash

• Magnesium, Magnesium

• Phenols, Total phenols

• Flavanoids, Flavanoids

• Nonflavanoids, Nonflavanoid phenols

• Proanthocyanins, Proanthocyanins

• Color, Color intensity

• Hue, Hue

• Dilution, D280/OD315 of diluted wines

• Proline, Proline

Reproducing this dataset:

requireNamespace("rattle.data")
wine

Examples

# NOT RUN {
str(wine)
# }
# NOT RUN {
play_manual_tour(data = wine[, 2:14], manip_var = 1, rescale_data = TRUE)
# }