Palettes in R-FAQs

How do I choose the right color palette for my data?

Select a qualitative range for categorical data, a sequential series for ordered data, and a diverging spectrum for data centered around a midpoint.

Can I create my own color palette in R?

Yes, that can be done by using colorRampPalette() function that is specifically designed to create custom palettes.

Are there colorblind-friendly palettes available in R?

Yes, as the viridis package provides the color system of up-to-date colorblind-friendly palette with pleasant perceptual uniformity.

How can I display all available RColorBrewer palettes?

Use the display. brewer. all() function of the RColorBrewer package.

Can I use these palettes with base R plotting functions?

Yes, you can use these palettes such as base R and ggplot2 as well as other plotting systems.

The art of data visualization involves the use of color palettes as a key ingredient to have a uniform set of colors that will separate our data elements clearly. R guides the creation of simple and attractive charts through its color palettes. This article covers the color palettes (different types), how to apply them, and walks through the practical examples in R Programming Language.