wine: Wine recognition data
In brouwern/compbio4all: Datasets and helpful functions for learning bioinformatics and computational biology
Description
Usage
Format
Details
Description
Downloaded from
http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data
Usage
1
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.
brouwern/compbio4all documentation built on Dec. 19, 2021, 11:47 a.m.
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Description Usage Format Details
Description
Downloaded from http://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data
Usage
1 |
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.
R Package Documentation
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