The term chartjunk was first coined by Edward Tufte in 1983. The book was developed based on ideas and materials developed for a Princeton statistics course that Tufte co-taught with John Tukey. As a self-published book, The Visual Display of Quantitative Information, Tufte claims that good design is founded in minimalist design principles. Specifically, he states that "graphics reveal data" if they are designed with "graphical integrity." Tufte, through minimalist design principles, was committed to an objective and neutral values of science. Other researchers have argued that minimalism is not objective and is full of its own rhetoric and potential to bias.
Tufte, in coining the term chartjunk, also made direct comments about a well-known designer at that time, Nigel Holmes.
This debate between Tufte and Holmes is emblematic of the tension between statistical and designerly approaches to visualization design.
The term chartjunk is an umbrella term that can be used to describe a variety of visual devices and has been referenced by different terms across research.
Chartjunk Alternative TermsStephen Few, a data visualization practitioner and consultant at Perceptual Edge, stated that Tufte's original definition of chartjunk was "too loose" and that "by defining chartjunk too broadly, Tufte to some degree invited the heated controversy that has raged ever since."
Robert Kosara, also a data visualization practitioner, researcher, and author of the blog EagerEyes, noted that not all chartjunk are the same, some are harmful (e.g. a busy background), others harmless (e.g. nice borders or pictures), and some even helpful (e.g. annotations).
In a recent study by Parsons and Shukla, they interviewed data visualization designers and found that there is both a "corrective movement" in the design community to move away from minimalist design principles, but also, that designers had different definitions for what constitutes chartjunk. The authors felt that "better definitions are needed so that everyone has a shared understanding [about chartjunk]."
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Tufte, Edward R. (1983). The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press. https://archive.org/details/visualdisplayofq0000tuft
Harris, Robert L. (1999). Information Graphics: A Comprehensive Illustrated Reference. USA: Oxford University Press. p. 72. ISBN 0-19-513532-6. 0-19-513532-6
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Tufte, Edward R. (1983). The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press. https://archive.org/details/visualdisplayofq0000tuft
Tufte, Edward R. (1983). The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press. https://archive.org/details/visualdisplayofq0000tuft
Tufte, Edward R. (1983). The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press. https://archive.org/details/visualdisplayofq0000tuft
Bateman, Scott; Mandryk, Regan L.; Gutwin, Carl; Genest, Aaron; McDine, David; Brooks, Christopher (2010). "Useful junk?". Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Atlanta, Georgia, USA: ACM Press. pp. 2573–2582. doi:10.1145/1753326.1753716. ISBN 978-1-60558-929-9. S2CID 195346232. 978-1-60558-929-9
Kennedy, Helen; Hill, Rosemary Lucy; Aiello, Giorgia; Allen, William (2016-03-16). "The work that visualisation conventions do". Information, Communication & Society. 19 (6): 715–735. doi:10.1080/1369118x.2016.1153126. ISSN 1369-118X. S2CID 61550176. https://dx.doi.org/10.1080/1369118x.2016.1153126
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Bateman, Scott; Mandryk, Regan L.; Gutwin, Carl; Genest, Aaron; McDine, David; Brooks, Christopher (2010). "Useful junk?". Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Atlanta, Georgia, USA: ACM Press. pp. 2573–2582. doi:10.1145/1753326.1753716. ISBN 978-1-60558-929-9. S2CID 195346232. 978-1-60558-929-9
Few, Stephen. "The Chartjunk Debate: A Close Examination of Recent Findings" (PDF). Perceptual Edge. Archived (PDF) from the original on 2011-05-21. Retrieved July 31, 2021. http://www.perceptualedge.com/articles/visual_business_intelligence/the_chartjunk_debate.pdf
Parsons, Paul; Shukla, Prakash (October 2020). "Data Visualization Practitioners' Perspectives on Chartjunk". 2020 IEEE Visualization Conference (VIS). Salt Lake City, UT, USA: IEEE. pp. 211–215. arXiv:2009.02634. doi:10.1109/VIS47514.2020.00049. ISBN 978-1-7281-8014-4. S2CID 221516843. 978-1-7281-8014-4
Bateman, Scott; Mandryk, Regan L.; Gutwin, Carl; Genest, Aaron; McDine, David; Brooks, Christopher (2010). "Useful junk?". Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Atlanta, Georgia, USA: ACM Press. pp. 2573–2582. doi:10.1145/1753326.1753716. ISBN 978-1-60558-929-9. S2CID 195346232. 978-1-60558-929-9
Wu, Keke; Petersen, Emma; Ahmad, Tahmina; Burlinson, David; Tanis, Shea; Szafir, Danielle Albers (2021-05-06). "Understanding Data Accessibility for People with Intellectual and Developmental Disabilities". Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM. pp. 1–16. doi:10.1145/3411764.3445743. ISBN 978-1-4503-8096-6. S2CID 233987580. 978-1-4503-8096-6
Borkin, Michelle A.; Vo, Azalea A.; Bylinskii, Zoya; Isola, Phillip; Sunkavalli, Shashank; Oliva, Aude; Pfister, Hanspeter (December 2013). "What Makes a Visualization Memorable?". IEEE Transactions on Visualization and Computer Graphics. 19 (12): 2306–2315. doi:10.1109/TVCG.2013.234. ISSN 1077-2626. PMID 24051797. S2CID 2936091. https://ieeexplore.ieee.org/document/6634103
Borkin, Michelle A.; Vo, Azalea A.; Bylinskii, Zoya; Isola, Phillip; Sunkavalli, Shashank; Oliva, Aude; Pfister, Hanspeter (December 2013). "What Makes a Visualization Memorable?". IEEE Transactions on Visualization and Computer Graphics. 19 (12): 2306–2315. doi:10.1109/TVCG.2013.234. ISSN 1077-2626. PMID 24051797. S2CID 2936091. https://ieeexplore.ieee.org/document/6634103
Kennedy, Helen; Hill, Rosemary Lucy; Aiello, Giorgia; Allen, William (2016-03-16). "The work that visualisation conventions do". Information, Communication & Society. 19 (6): 715–735. doi:10.1080/1369118x.2016.1153126. ISSN 1369-118X. S2CID 61550176. https://dx.doi.org/10.1080/1369118x.2016.1153126
Kennedy, Helen; Hill, Rosemary Lucy; Aiello, Giorgia; Allen, William (2016-03-16). "The work that visualisation conventions do". Information, Communication & Society. 19 (6): 715–735. doi:10.1080/1369118x.2016.1153126. ISSN 1369-118X. S2CID 61550176. https://dx.doi.org/10.1080/1369118x.2016.1153126
Few, Stephen. "The Chartjunk Debate: A Close Examination of Recent Findings" (PDF). Perceptual Edge. Archived (PDF) from the original on 2011-05-21. Retrieved July 31, 2021. http://www.perceptualedge.com/articles/visual_business_intelligence/the_chartjunk_debate.pdf
"The Three Types of Chart Junk". eagereyes. 2012-03-05. Retrieved 2021-08-01. https://eagereyes.org/blog/2012/three-types-chart-junk
Parsons, Paul; Shukla, Prakash (October 2020). "Data Visualization Practitioners' Perspectives on Chartjunk". 2020 IEEE Visualization Conference (VIS). Salt Lake City, UT, USA: IEEE. pp. 211–215. arXiv:2009.02634. doi:10.1109/VIS47514.2020.00049. ISBN 978-1-7281-8014-4. S2CID 221516843. 978-1-7281-8014-4
Bateman, Scott; Mandryk, Regan L.; Gutwin, Carl; Genest, Aaron; McDine, David; Brooks, Christopher (2010). "Useful junk?". Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Atlanta, Georgia, USA: ACM Press. pp. 2573–2582. doi:10.1145/1753326.1753716. ISBN 978-1-60558-929-9. S2CID 195346232. 978-1-60558-929-9
Borkin, Michelle A.; Vo, Azalea A.; Bylinskii, Zoya; Isola, Phillip; Sunkavalli, Shashank; Oliva, Aude; Pfister, Hanspeter (December 2013). "What Makes a Visualization Memorable?". IEEE Transactions on Visualization and Computer Graphics. 19 (12): 2306–2315. doi:10.1109/TVCG.2013.234. ISSN 1077-2626. PMID 24051797. S2CID 2936091. https://ieeexplore.ieee.org/document/6634103
Wu, Keke; Petersen, Emma; Ahmad, Tahmina; Burlinson, David; Tanis, Shea; Szafir, Danielle Albers (2021-05-06). "Understanding Data Accessibility for People with Intellectual and Developmental Disabilities". Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM. pp. 1–16. doi:10.1145/3411764.3445743. ISBN 978-1-4503-8096-6. S2CID 233987580. 978-1-4503-8096-6