@techreport{eeba078d80c44f8d8a30d3deeabd5e78,
title = "Choosing Color Palettes for Statistical Graphics",
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).",
author = "Achim Zeileis and Kurt Hornik",
year = "2006",
doi = "10.57938/eeba078d-80c4-4f8d-8a30-d3deeabd5e78",
language = "English",
series = "Research Report Series / Department of Statistics and Mathematics",
number = "41",
publisher = "Department of Statistics and Mathematics, WU Vienna University of Economics and Business",
edition = "October 2006",
type = "WorkingPaper",
institution = "Department of Statistics and Mathematics, WU Vienna University of Economics and Business",
}