Color Palette Finder





Choosing the right colors for your chart can be a challenging and time-consuming task that often leads to frustration.

Fortunately, the paleteer R package offers about 2728 palettes, easily accessible and ready to use in your R and ggplot2 code.

This page is an interactive tool for efficiently exploring all those palettes. In an instant, you can see a palette applied to various charts, find your favorite, and effortlessly obtain the corresponding code snippet.

Note that if you're not familiar with color customization in ggplot2, this article is a good first step.

🎨 paletteer: the ultimate package for R colors

paletteer is one of my favorite R packages. It consolidates all available color palettes in the R ecosystem into a single package.

This means you can access over 2500 palettes with just one line of code.

The palettes are categorized as continuous or qualitative. The R Graph Gallery has a dedicated page to help you get started.

To use paletteer, the basic syntax looks like this:


# Load necessary libraries
library(ggplot2)
library(paletteer)

# Load the data
df <- read.csv("https://raw.githubusercontent.com/holtzy/The-Python-Graph-Gallery/master/static/data/simple-scatterplot.csv")

# Create the ggplot
ggplot(df, aes(x = gdpPercap, y = lifeExp, size = pop, color = continent)) +
  geom_point(size=10) +
  scale_color_paletteer_d("nationalparkcolors::Acadia") +
  theme(legend.position = "none")
        
⚡️ Browse the palettes blazing fast

Accessing over 2500 colors is fantastic, but having an efficient tool to explore them is essential.

That's why I created this tool! Here's how it works:

Bonus: Discover a "surprise me" button that randomly selects a palette for you!

Related chart types


Violin
Density
Histogram
Boxplot
Ridgeline