Escaping RGBland: Selecting Colors for Statistical Graphics

Achim Zeileis, Kurt Hornik, Paul Murrell

Publication: Working/Discussion PaperWU Working Paper

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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).
Original languageEnglish
Place of PublicationVienna
PublisherDepartment of Statistics and Mathematics, WU Vienna University of Economics and Business
Publication statusPublished - 2007

Publication series

NameResearch Report Series / Department of Statistics and Mathematics
No.61

WU Working Paper Series

  • Research Report Series / Department of Statistics and Mathematics

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