Periphery Plots for Contextualizing Heterogeneous Time-Based Charts
Abstract
Patterns in temporal data can often be found across different scales, such as days, weeks, and months, making effective visualization of time-based data challenging. Here we propose a new approach for providing focus and context in time-based charts to enable interpretation of patterns across time scales. Our approach employs a focus zone with a time and a second axis, that can either represent quantities or categories, as well as a set of adjacent periphery plots that can aggregate data along the time, value, or both dimensions. We present a framework for periphery plots and describe two use cases that demonstrate the utility of our approach.
Keywords
Cite
@article{arxiv.1906.07637,
title = {Periphery Plots for Contextualizing Heterogeneous Time-Based Charts},
author = {Bryce Morrow and Trevor Manz and Arlene E. Chung and Nils Gehlenborg and David Gotz},
journal= {arXiv preprint arXiv:1906.07637},
year = {2020}
}
Comments
To Appear in IEEE VIS 2019 Short Papers. Open source software and other materials available on github: https://github.com/PrecisionVISSTA/PeripheryPlots Video figure available on Vimeo: https://vimeo.com/349678146