Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations

Enrico Bertini, Michael Correll, Steven Franconeri

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    A central tenet of information visualization research and practice is the notion of visual variable effectiveness, or the perceptual precision at which values are decoded given visual channels of encoding. Formative work from Cleveland McGill has shown that position along a common axis is the most effective visual variable for comparing individual values. One natural conclusion is that any chart that is not a dot plot or scatterplot is deficient and should be avoided. In this paper we refute a caricature of this scatterplots only argument as a way to call for new perspectives on how information visualization is researched, taught, and evaluated.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2020 IEEE Visualization Conference, VIS 2020
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages206-210
    Number of pages5
    ISBN (Electronic)9781728180144
    DOIs
    StatePublished - Oct 2020
    Event2020 IEEE Visualization Conference, VIS 2020 - Virtual, Salt Lake City, United States
    Duration: Oct 25 2020Oct 30 2020

    Publication series

    NameProceedings - 2020 IEEE Visualization Conference, VIS 2020

    Conference

    Conference2020 IEEE Visualization Conference, VIS 2020
    CountryUnited States
    CityVirtual, Salt Lake City
    Period10/25/2010/30/20

    Keywords

    • Human-centered computing
    • Visualization
    • Visualization theory
    • concepts and paradigms

    ASJC Scopus subject areas

    • Media Technology
    • Modeling and Simulation

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