Penguins go parallel: a grammar of graphics framework for generalized parallel coordinate plots
- Parallel Coordinate Plots (PCP) are a valuable tool for exploratory data analysis of high-dimensional numer-ical data. The use of PCPs is limited when working with categorical variables or a mix of categorical andcontinuous variables. In this article, we propose Generalized Parallel Coordinate Plots (GPCP) to extend theability of PCPs from just numeric variables to dealing seamlessly with a mix of categorical and numericvariables in a single plot. In this process we find that existing solutions for categorical values only, such ashammock plots or parsets become edge cases in the new framework. By focusing on individual observationsrather than a marginal frequency we gain additional flexibility. The resulting approach is implemented in theR package ggpcp. Supplementary materials for this article are available online.
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