AI & ML
The Hammock Plot: Where Categorical and Numerical Data Relax Together
arXiv stat.CO0 views
arXiv:2506.13630v3 Announce Type: cross Abstract: Effective methods for visualizing data involving multiple variables, including categorical ones, are limited. The hammock plot (Schonlau 2003) visualizes both categorical and numerical variables using parallel coordinates. We introduce the Stata implementation hammock. We give numerous examples that explore highlighting, missing values, putting axes on the same scale, and tracing an observation across variables. Further, we discuss parallel univariate plots as an edge case of hammock plots. We also present and make publicly available a new dataset on the 2020 Tour de France.
Source:https://arxiv.org/abs/2506.13630PreviousSequential Monte Carlo Sampling of Feasible Regions Represented by R-FunctionsNextSnapshot plots: displaying summary tables as parallel univariate plots with consistent color highlighting
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