The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Displaying proportions and percentages
Abstract
Pie and bar charts are commonly used to display percentage or proportional data, but professional data analysts have frowned on the use of the pie chart on the grounds that judgements of area are less accurate than judgements of lenth. Thus the bar chart has been favoured. When the amount of data to be communicated is small, some authorities have advocated the use of properly constructed tables, as another option. The series of experiments reported here suggests that there is little to choose between the pie and the bar chart, with the former enjoying a slight advantage if the required judgement is a complicated one, but that both forms of chart are superior to the table. Thus our results do not support the commonly expressed opinion that pie charts are inferior. An analysis of the nature of the task and a review of the psychophysical literature suggest that the traditional prejudice against the pie chart is misguided.
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- Self-citation
Metadata
- Authors
- Spence, I., & Lewandowsky, S.
- Affiliations
- University of Toronto (CA)
- The University of Western Australia (AU)
- Corresponding author
- Spence, Ian
- Venue
- Applied Cognitive Psychology
- Publisher
- Wiley
- Published
- 1991-01
- Volume
- 5
- Issue
- 1
- Pages
- 61-77
- ISSN
- 0888-4080 (ISSN-L)
- 1099-0720
- OpenAlex
- W2059636449
- Cited by
- 162
- References
- 25
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2023: 10 · 2022: 5 · 2021: 7 · 2020: 7 · 2019: 9 · 2018: 11 · 2017: 5 · 2016: 7 · 2015: 3 · 2014: 10 · 2013: 6 · 2012: 8
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Cognitive Psychology (publishedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- pie charts, bar charts, proportional data, data presentation, data tables, psychophysics
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