Ten Simple Rules for Better Figures | Zendy

Nicolas P. Rougier | Zendy; Michael Droettboom | Zendy; Philip E. Bourne | Zendy

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Ten Simple Rules for Better Figures

Author(s) -

Nicolas P. Rougier,

Michael Droettboom,

Philip E. Bourne

Publication year - 2014

Publication title -

plos computational biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.628

H-Index - 182

eISSN - 1553-7358

pISSN - 1553-734X

DOI - 10.1371/journal.pcbi.1003833

Subject(s) - bar chart , plot (graphics) , computer science , scatter plot , simple (philosophy) , set (abstract data type) , interface (matter) , process (computing) , visualization , pie chart , data visualization , data science , data mining , programming language , mathematics , machine learning , epistemology , statistics , philosophy , bubble , maximum bubble pressure method , parallel computing

International audienceScientific 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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