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(This article was first published on <strong><a href="https://matloff.wordpress.com/2017/09/04/cdparcoord-parallel-coordinates-plots-for-categorical-data/"> Mad (Data) Scientist</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>My students, Vincent Yang and Harrison Nguyen, and I have developed a new data visualization package, <strong>cdparcoord</strong>, available now <a rel="nofollow" href="https://cran.r-project.org/web/packages/cdparcoord/index.html" target="_blank">on CRAN</a>. It can be viewed as an extension of the <strong>freqparcoord</strong> package written by a former grad student, Yingkang Xie and myself, which I have <a rel="nofollow" href="https://matloff.wordpress.com/2014/04/06/more-on-freqparcoord/" target="_blank">written about before</a> in this blog.</p>
<p>The idea behind both packages is to remedy the “black screen problem” in parallel coordinates plots, in which there are so many lines plotted that the screen fills and no patterns are discernible. We avoid this by plotting only the most “typical” lines, as defined by estimated nonparametric density value in <strong>freqparcoord</strong> and by simple counts in <strong>cdparcoord</strong>.</p>
<p>There are lots of pretty (and hopefully insight-evoking) pictures, plus directions for quickstart use of the package, in <a rel="nofollow" href="https://cran.r-project.org/web/packages/cdparcoord/vignettes/cdparcoord.html" target="_blank">the vignette</a>. We have an <a rel="nofollow" href="http://arxiv.org/abs/1709.00665" target="_blank">academic paper</a> available that explains the background, related work an so on.</p>
<p>Just as with Yingkang on <strong>freqparcoord</strong>, huge credit for <strong>cdparcoord</strong> goes to Vincent and Harrison, who came up with creative, remarkable solutions to numerous knotty problems that arose during the development of the package. And get this — they are <em>undergraduates</em> (or were at the time; Harrison graduated in June).</p>
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