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

3 Scopus citations

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
Externally publishedYes
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
Country/TerritoryUnited 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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