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The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers

Author

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  • Gem Stapleton
  • Peter Chapman
  • Peter Rodgers
  • Anestis Touloumis
  • Andrew Blake
  • Aidan Delaney

Abstract

This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area-proportional Euler diagrams but linear diagrams can exploit length-proportional straight-lines for the same purpose. Another common approach is to use numerical annotations. We first conducted two empirical studies, one on Euler diagrams and the other on linear diagrams. These suggest that area-proportional Euler diagrams with numerical annotations and length-proportional linear diagrams without numerical annotations support significantly better task performance. We then conducted a third study to investigate which of these two notations should be used in practice. This suggests that area-proportional Euler diagrams with numerical annotations most effectively supports task performance and so should be used to visualize set cardinalities. However, these studies focused on data that can be visualized reasonably accurately using circles and the results should be taken as valid within that context. Future work needs to determine whether the results generalize both to when circles cannot be used and for other ways of encoding cardinality information.

Suggested Citation

  • Gem Stapleton & Peter Chapman & Peter Rodgers & Anestis Touloumis & Andrew Blake & Aidan Delaney, 2019. "The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-25, March.
  • Handle: RePEc:plo:pone00:0211234
    DOI: 10.1371/journal.pone.0211234
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    References listed on IDEAS

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    1. Anestis Touloumis & Alan Agresti & Maria Kateri, 2013. "GEE for Multinomial Responses Using a Local Odds Ratios Parameterization," Biometrics, The International Biometric Society, vol. 69(3), pages 633-640, September.
    2. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    3. Luana Micallef & Peter Rodgers, 2014. "euler APE : Drawing Area-Proportional 3-Venn Diagrams Using Ellipses," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-18, July.
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