Escaping RGBland: Selecting Colors for Statistical Graphics

Achim Zeileis, Kurt Hornik, Paul Murrell

Publikation: Working/Discussion PaperWU Working Paper

667 Downloads (Pure)

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).
OriginalspracheEnglisch
ErscheinungsortVienna
HerausgeberDepartment of Statistics and Mathematics, WU Vienna University of Economics and Business
DOIs
PublikationsstatusVeröffentlicht - 2007

Publikationsreihe

ReiheResearch Report Series / Department of Statistics and Mathematics
Nummer61

WU Working Paper Reihe

  • Research Report Series / Department of Statistics and Mathematics

Zitat