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Ten Simple Rules for Better Figures

Abstract : Scientific visualization is classically defined as the process of graphically displaying scientific data. However, this process is far from direct or automatic. There are so many different ways to represent the same data: scatter plots, linear plots, bar plots, and pie charts, to name just a few. Furthermore, the same data, using the same type of plot, may be perceived very differently depending on who is looking at the figure. A more accurate definition for scientific visualiza- tion would be a graphical interface between people and data. In this short article, we do not pretend to explain everything about this interface; rather, see [1,2] for introductory work. Instead we aim to provide a basic set of rules to improve figure design and to explain some of the common pitfalls.
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Contributor : Nicolas P. Rougier Connect in order to contact the contributor
Submitted on : Friday, September 12, 2014 - 5:08:04 PM
Last modification on : Saturday, June 25, 2022 - 7:47:24 PM
Long-term archiving on: : Saturday, December 13, 2014 - 10:57:34 AM


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Nicolas P. Rougier, Michael Droettboom, Philip E. Bourne. Ten Simple Rules for Better Figures. PLoS Computational Biology, Public Library of Science, 2014, pp.7. ⟨10.1371/journal.pcbi.1003833⟩. ⟨hal-01063732⟩



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