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Bibliographic Details
Main Authors: Schonlau, Matthias, Yang, Tiancheng
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.13630
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Table of Contents:
  • 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.