wine

The dataset contains chemical compositions of wines from 3 cultivars

datasets

Creating 3D radial visualizations of multivariate data.
The package extends traditional radial coordinate visualization (RadViz) techniques
to three-dimensional space, enabling enhanced exploration and analysis of
high-dimensional datasets through interactive 3D plots. Zhu, Dai & Maitra (2022)
<doi:10.1080/10618600.2021.2020129>.

Yifan Zhu

radviz3d

3D Radial Visualization

Fan Dai

Ranjan Maitra

Niraj Kunwar

Gani Agadilov

wine function

A data frame of 178 observations and 14 variables:<dl>
 <dt>cultivar</dt>
<dd>The cultivar where the wine is produced</dd> <dt>Ahl, Ash, Alk, Color, Flvds, Hue, Malic, Mg, Nonfp, ODdil, Phnls, Prol, Pthyns</dt>
<dd>The content of chemical compositions of the wine</dd> 
</dl>

Format

Chemical compositions of wine — wine

A data frame of 178 observations and 14 variables:<dl>
 <dt>cultivar</dt>
<dd>The cultivar where the wine is produced</dd>

 <dt>Ahl, Ash, Alk, Color, Flvds, Hue, Malic, Mg, Nonfp, ODdil, Phnls, Prol, Pthyns</dt>
<dd>The content of chemical compositions of the wine</dd>

 
</dl>

wine: Chemical compositions of wine

Description

Usage

Arguments

Format