Wine recognition data

Downloaded from http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data

wine

Format

A data frame ....

V1

Cultivar, 1 to 3

V2

Alcohol

V3

Malic acid

V4

Ash

V5

Alcalinity of ash

V6

Magnesium

V7

Total phenols

V8

Flavanoids

V9

Nonflavanoid phenols

V10

Proanthocyanins

V11

Color intensity

V12

Hue

V13

OD280/OD315 of diluted wines

V14

Proline

Details

Original source: Forina, M. et al, PARVUS - An Extendible Package for Data Exploration, Classification and Correlation. Institute of Pharmaceutical and Food Analysis and Technologies, Via Brigata Salerno, 16147 Genoa, Italy.

These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.