Manifesto for Putting 'Chartjunk' in the Trash 2021!

In this provocation we ask the visualization research community to join us in removing chartjunk from our research lexicon. We present an etymology of chartjunk, framing its provocative origins as misaligned, and harmful, to the ways the term is currently used by visualization researchers. We call on the community to dissolve chartjunk from the ways we talk about, write about, and think about the graphical devices we design and study. As a step towards this goal we contribute a performance of maintenance through a trio of acts: editing the Wikipedia page on chartjunk, cutting out chartjunk from IEEE papers, and scanning and posting a repository of the pages with chartjunk removed to invite the community to re-imagine how we describe visualizations. This contribution blurs the boundaries between research, activism, and maintenance art, and is intended to inspire the community to join us in taking out the trash.

[1]  Stephen M. Kosslyn,et al.  Representational Correspondence as a Basic Principle of Diagram Design , 2005, Knowledge and Information Visualization.

[2]  Helen Kennedy,et al.  The work that visualisation conventions do , 2016 .

[3]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[4]  Eytan Adar,et al.  Benefitting InfoVis with Visual Difficulties , 2011, IEEE Transactions on Visualization and Computer Graphics.

[5]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .

[6]  Joachim Meyer,et al.  Minimalism in information visualization: attitudes towards maximizing the data-ink ratio , 2007, ECCE '07.

[7]  Danielle Albers Szafir,et al.  Understanding Data Accessibility for People with Intellectual and Developmental Disabilities , 2021, CHI.

[8]  Christopher A. Brooks,et al.  Useful junk?: the effects of visual embellishment on comprehension and memorability of charts , 2010, CHI.

[9]  C. Kostelnick The Visual Rhetoric of Data Displays: The Conundrum of Clarity , 2007, IEEE Transactions on Professional Communication.

[10]  Mierle Laderman Ukeles Manifesto for Maintenance Art 1969! Proposal for an exhibition “CARE” , 2018, Journal of Contemporary Painting.

[11]  Hanspeter Pfister,et al.  What Makes a Visualization Memorable? , 2013, IEEE Transactions on Visualization and Computer Graphics.

[12]  Michael Gleicher,et al.  Bad for Data, Good for the Brain : Knowledge-First Axioms For Visualization Design , 2014 .

[13]  Douglas J. Gillan,et al.  Minimalism and the Syntax of Graphs , 1994 .

[14]  Paul Parsons,et al.  Data Visualization Practitioners’ Perspectives on Chartjunk , 2020, 2020 IEEE Visualization Conference (VIS).

[15]  Miriah Meyer,et al.  Insights From Experiments With Rigor in an EvoBio Design Study , 2020, IEEE Transactions on Visualization and Computer Graphics.

[16]  Dietmar Offenhuber,et al.  Data by Proxy — Material Traces as Autographic Visualizations , 2019, IEEE Transactions on Visualization and Computer Graphics.