wine: Wine data
In pdfCluster: Cluster Analysis via Nonparametric Density Estimation
wine R Documentation
Wine data
Description
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 wine: Barolo, Grignolino, Barbera.
The data set is used to evaluate the pdfCluster ability of understanding the type of wine, given the chemical measurement.
Usage
data(wine)
Format
This data frame contains 178 rows, each corresponding to a different cultivar of wine produced in Piedmont (Italy), and 14 columns.
The first column is the type of wine, a factor variable with the following levels: Barolo, Grignolino, Barbera.
The variables measured on the three types of wines are the following: Alcohol, Malic acid, Ash, Alcalinity, Magnesium, Phenols, Flavanoids,
Nonflavanoids, Proanthocyanins, Color intensity, Hue, OD280.OD315Dilution, Proline. All variables but the label class are continuous.
Details
The original data set comprises 27 variables. Here a subset of 14 variables only has been included.
Source
Forina, M., Lanteri, S. Armanino, C., Casolino, C., Casale, M., Oliveri, P. (2008). V-PARVUS. An Extendible Pachage of programs for
esplorative data analysis, classification and regression analysis. Dip. Chimica e Tecnologie Farmaceutiche ed Alimentari, Università di Genova.
pdfCluster documentation built on Dec. 2, 2022, 5:14 p.m.
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| wine | R Documentation |
Wine data
Description
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 wine: Barolo, Grignolino, Barbera.
The data set is used to evaluate the pdfCluster ability of understanding the type of wine, given the chemical measurement.
Usage
data(wine)
Format
This data frame contains 178 rows, each corresponding to a different cultivar of wine produced in Piedmont (Italy), and 14 columns. The first column is the type of wine, a factor variable with the following levels: Barolo, Grignolino, Barbera. The variables measured on the three types of wines are the following: Alcohol, Malic acid, Ash, Alcalinity, Magnesium, Phenols, Flavanoids, Nonflavanoids, Proanthocyanins, Color intensity, Hue, OD280.OD315Dilution, Proline. All variables but the label class are continuous.
Details
The original data set comprises 27 variables. Here a subset of 14 variables only has been included.
Source
Forina, M., Lanteri, S. Armanino, C., Casolino, C., Casale, M., Oliveri, P. (2008). V-PARVUS. An Extendible Pachage of programs for esplorative data analysis, classification and regression analysis. Dip. Chimica e Tecnologie Farmaceutiche ed Alimentari, Università di Genova.
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We want your feedback!
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