Escaping RGBland: Selecting Colors for Statistical Graphics

Zeileis, Achim and Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 and Murrell, Paul (2007) Escaping RGBland: Selecting Colors for Statistical Graphics. Research Report Series / Department of Statistics and Mathematics, 61. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.

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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).

Item Type:	Paper
Keywords:	qualitative palette / sequential palette / diverging palette / HCL colors / HSV colors / perceptually-based color space
Divisions:	Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User:	Repository Administrator
Date Deposited:	19 Nov 2007 21:09
Last Modified:	24 Oct 2019 13:41
URI:	https://epub.wu.ac.at/id/eprint/1692

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