Compact Phase Histograms for Guided Exploration of Periodicity

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Max Franke, Steffen Koch

 Room: 104

2023-10-26T03:36:00ZGMT-0600Change your timezone on the schedule page
2023-10-26T03:36:00Z

Exemplar figure, described by caption below — Our compact widget visualizes a histogram of the phases of event data for a specific period length, which can be interactively adjusted. If the period length matches a periodicity contained in the data, this shows up as a non-uniform distribution in the histogram. In a matrix visualization, the phase histograms for slightly longer and shorted period lengths are also shown row-wise.

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Keywords

Human-centered computing—Visualization—Visualization techniques

Abstract

Periodically occurring accumulations of events or measured values are present in many time-dependent datasets and can be of interest for analyses. The frequency of such periodic behavior is often not known in advance, making it difficult to detect and tedious to explore. Automated analysis methods exist, but can be too costly for smooth, interactive analysis. We propose a compact visual representation that reveals periodicity by showing a phase histogram for a given period length that can be used standalone or in combination with other linked visualizations. Our approach supports guided, interactive analyses by suggesting other period lengths to explore, which are ranked based on two quality measures. We further describe how the phase can be mapped to visual representations in other views to reveal periodicity there.