This page provides a (necessarily incomplete) collection of color-related resources.
More recent publications that are geared to the needs of aspiring data scientists include:
Data Visualization. A practical introduction (by Kieran Healy) is beautiful, informative, and elegant.
Fundamentals of Data Visualization (by Claus O. Wilke) provides many instructive examples and helps distinguishing good from ugly graphs.
R Graphics Cookbook (by Winston Chang) provides hands-on advice on using ggplot2 and many useful recipes for data transformation.
Data visualization principles (by Rafael A. Irizarry)
Data visualization: Basic principles (by Peter Aldhous)
D.4.2 Color resources in R
The grDevices component of R comes with many options and tools for selecting and modifying colors:
demo("colors")in the Console to view the in-built colors of R.
See the CRAN task view: Graphic displays, dynamic graphics, graphic devices & visualization for background information and many pointers to additional resources.
colors in R cheatsheetto find many collections of the colors available in R.
D.4.3 Recent color developments
For recent color developments in R (as of 2020), see the following posts on the R developer blog:
Bertin, J. (2011). Semiology of graphics: Diagrams, networks, maps (Vol. 1). ESRI Press.
Brewer, C. (2019). ColorBrewer 2.0: Color advice for cartography. Retrieved from http://www.colorbrewer2.org
Tufte, E. R. (2001). The visual display of quantitative information (2nd ed.). Cheshire, CT: Graphics Press.
Tufte, E. R. (2006). Beautiful evidence (Vol. 1). Cheshire, CT: Graphics Press.
Tufte, E. R., Goeler, N. H., & Benson, R. (1990). Envisioning information (Vol. 126). Cheshire, CT: Graphics Press.