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Choosing Color Palettes for Statistical Graphics
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zeileis, Achim Hornik, Kurt |
| Copyright Year | 2006 |
| Abstract | Statistical graphics are often augmented by the use of color coding information contained in some variable. When this involves the shading of areas (and not only points or lines) - e.g., as in bar plots, pie charts, mosaic displays or heatmaps - it is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Here, we discuss how the perceptually-based Hue-Chroma-Luminance (HCL) color space can be used for deriving suitable color palettes for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eeyore.ucdavis.edu/stat250/epub-wu-01_abd.pdf |
| Alternate Webpage(s) | http://statmath.wu.ac.at/~zeileis/papers/LMU-2007.pdf |
| Alternate Webpage(s) | https://eeecon.uibk.ac.at/~zeileis/papers/StatComp-2007.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
