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Journal ArticleDOI

Considerations for Visualizing Comparison

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TLDR
Four considerations that abstract comparison are presented that identify issues and categorize solutions in a domain independent manner and provide a process for developers to consider support for comparison in the design of visualization tools.
Abstract
Supporting comparison is a common and diverse challenge in visualization. Such support is difficult to design because solutions must address both the specifics of their scenario as well as the general issues of comparison. This paper aids designers by providing a strategy for considering those general issues. It presents four considerations that abstract comparison. These considerations identify issues and categorize solutions in a domain independent manner. The first considers how the common elements of comparison—a target set of items that are related and an action the user wants to perform on that relationship—are present in an analysis problem. The second considers why these elements lead to challenges because of their scale, in number of items, complexity of items, or complexity of relationship. The third considers what strategies address the identified scaling challenges, grouping solutions into three broad categories. The fourth considers which visual designs map to these strategies to provide solutions for a comparison analysis problem. In sequence, these considerations provide a process for developers to consider support for comparison in the design of visualization tools. Case studies show how these considerations can help in the design and evaluation of visualization solutions for comparison problems.

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References
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Proceedings ArticleDOI

Certifying and Removing Disparate Impact

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Journal ArticleDOI

Inference by eye: confidence intervals and how to read pictures of data.

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