However, paletteer is by far my favorite package for customizing your colors in R!
The paletteer package offers direct access to 1759 color palettes, from 50 different packages!
After installing and loading the package, paletteer works as easy as just adding one additional line of code to your ggplot:
ggplot(iris, aes(Sepal.Length, Sepal.Width, color = Species)) + geom_point() + scale_color_paletteer_d("nord::aurora")
paletteer offers a combined collection of hundreds of other color palettes offered in the R programming environment, so you are sure you will find a palette that you like! Here’s the list copied below, but this github repo provides more detailed information about the package contents.
This last trick, I learned in this recent blog post I came across, by Chisato. She explored all colors() base R incorporates, using the new ggforce and ggraph packages (thank you Thomas Lin Petersen!). Her exploration resulted in some nice visual overviews, which you can view in more detail in the original blog here.
Saskia Freeke (twitter) is a Dutch artist, creative coder, interaction designer, visual designer, and educator working from Amsterdam. She has been creating an awesome digital art piece for every day since January 1st 2015. Her ever-growing collection includes some animated, visual masterpieces.
My personal favorites are Saskia’s moving works, her GIFs:
Saskia uses Processing to create her art. Processing is a Java-based language, also used often by Daniel Shiffmann whom we know from the Coding Train.
Browse through hundreds of helpful data visualization tools, programs, and services. All neatly organized by Andy Kirk in categories: data handling, applications, programming, web-based, qualitative, mapping, specialist, and colour. What a great repository!
Picular.co calls itself Google, but for colors on its website. And not without good reason. On the site, you type in a color association (e.g., forest green), and it provides you an palette overview of associated colors and their hexadecimal (Hex) codes.
I don’t precisely know how it works, but it seems to work quite well!
Lisa Charlotte Rost of DataWrapper often writes about data visualization and lately she has focused on the (im)proper use of color in visualization. In this recent blog, she gives a bunch of great tips and best practices, some of which I copied below: