| wine27 {MBCbook} | R Documentation |
The (27-dimensional) Italian Wine data set
Description
The (27-dimensional) Italian Wine data set is the result of a chemical analysis of 178 wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 27 constituents found in each of the three types of wines.
Usage
data("wine27")Format
A data frame with 178 observations on the following 29 variables.
Alcohola numeric vector
Sugar.free_extracta numeric vector
Fixed_aciditya numeric vector
Tartaric_acida numeric vector
Malic_acida numeric vector
Uronic_acidsa numeric vector
pHa numeric vector
Asha numeric vector
Alcalinity_of_asha numeric vector
Potassiuma numeric vector
Calciuma numeric vector
Magnesiuma numeric vector
Phosphatea numeric vector
Chloridea numeric vector
Total_phenolsa numeric vector
Flavanoidsa numeric vector
Nonflavanoid_phenolsa numeric vector
Proanthocyaninsa numeric vector
Color_Intensitya numeric vector
Huea numeric vector
OD280.OD315_of_diluted_winesa numeric vector
OD280.OD315_of_flavanoidsa numeric vector
Glycerola numeric vector
X2.3.butanediola numeric vector
Total_nitrogena numeric vector
Prolinea numeric vector
Methanola numeric vector
Typea factor with levels
Barbera,Barolo,GrignolinoYeara numeric vector
Details
This data set is an expended version of the popular one from the UCI machine learning repository (http://archive.ics.uci.edu/ml/datasets/Wine).
Examples
data(wine27)