ggplot2 scale_color_brewer() in R: ColorBrewer Palettes

The scale_color_brewer() function in ggplot2 applies named ColorBrewer palettes to discrete groups. ColorBrewer palettes are designed for cartography but work great for any categorical visualization.

By Selva Prabhakaran · Published May 10, 2026 · Last updated May 10, 2026

⚡ Quick Answer

+ scale_color_brewer(palette = "Set1")
+ scale_color_brewer(palette = "Dark2", direction = -1)
+ scale_fill_brewer(palette = "Spectral")
+ RColorBrewer::display.brewer.all()        # see all palettes
+ scale_color_manual(values = ...)           # custom alternative

Need explanation? Read on for examples and pitfalls.

📊 Is scale_color_brewer() the right tool?

What scale_color_brewer() does in one sentence

scale_color_brewer(palette = "Set1") colors discrete groups using a named ColorBrewer palette. ColorBrewer (cynthia.bristows.com/colorbrewer) is a standard set of perceptually balanced palettes.

Syntax

scale_color_brewer(palette = "Set1", direction = 1, type = "seq", ...). type is "seq" (sequential), "qual" (qualitative), or "div" (diverging).

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RSet1 qualitative palette

library(ggplot2) ggplot(mtcars, aes(wt, mpg, color = factor(cyl))) + geom_point(size = 3) + scale_color_brewer(palette = "Set1")

Tip

Use qualitative palettes (Set1, Set2, Dark2) for unordered categories; sequential (Blues, Reds) for ordered; diverging (RdBu, Spectral) for centered data.

Five common patterns

1. Set1 (default qualitative)

RDistinct colors

+ scale_color_brewer(palette = "Set1")

2. Dark2 (more saturated)

RBetter on white background

+ scale_color_brewer(palette = "Dark2")

3. Sequential ordered

ROrdered factor levels

+ scale_color_brewer(palette = "Blues")

4. Reverse direction

RLight to dark or vice versa

+ scale_color_brewer(palette = "Blues", direction = -1)

5. fill version

RFor bar / area

+ scale_fill_brewer(palette = "Pastel1")

Key Insight

ColorBrewer palettes are MAX 8-12 colors. For more categories, use viridis or a custom palette. ColorBrewer's strength is perceptual balance for small N.

scale_color_brewer() vs scale_color_viridis_d() vs scale_color_manual

Function	Source	Color count
`scale_color_brewer()`	ColorBrewer	3-12
`scale_color_viridis_d()`	Viridis	Any
`scale_color_manual()`	Custom	Any
`scale_color_grey()`	Greyscale	2-9

When to use which:

brewer for 3-9 categorical levels.
viridis for many levels or perceptual uniformity.
manual for custom / brand colors.

A practical workflow

Browse all ColorBrewer palettes with RColorBrewer::display.brewer.all() then pick one.

RInteractive R

# Browse palettes RColorBrewer::display.brewer.all() # Apply ggplot(df, aes(x, y, color = group)) + geom_line() + scale_color_brewer(palette = "Dark2")

Common pitfalls

Pitfall 1: too many categories. ColorBrewer maxes at 8-12. With more, ggplot warns and recycles or interpolates.

Pitfall 2: wrong palette type. Don't use sequential palettes for unordered categories; use qualitative.

Warning

scale_color_brewer requires RColorBrewer package. ggplot installs it as a dependency, but in stripped environments you may need to install separately.

Try it yourself

Try it: Color mtcars points by cyl using "Dark2" palette. Save to ex_plot.

RYour turn: Dark2 palette

ex_plot <- mtcars |> ggplot(aes(wt, mpg, color = factor(cyl))) + geom_point(size = 3) + # your code here

Click to reveal solution

RSolution

ex_plot <- ggplot(mtcars, aes(wt, mpg, color = factor(cyl))) + geom_point(size = 3) + scale_color_brewer(palette = "Dark2")

Explanation: Dark2 is a saturated qualitative palette good on white backgrounds.

After mastering scale_color_brewer, look at:

scale_fill_brewer(): fill version
scale_color_distiller(): continuous version of brewer
scale_color_viridis_d(): viridis alternative
scale_color_manual(): custom values
RColorBrewer::display.brewer.all(): visualize all palettes

FAQ

What does scale_color_brewer do in ggplot2?

scale_color_brewer(palette = "Set1") assigns colors from a named ColorBrewer palette to discrete factor levels.

What is the difference between scale_color_brewer and scale_color_viridis_d?

brewer uses ColorBrewer's curated palettes (small N). viridis is perceptually uniform and works for any number of levels.

How many categories can scale_color_brewer handle?

Most ColorBrewer palettes max at 8-12 colors. For more, use viridis or manual colors.

What is the difference between qualitative, sequential, and diverging palettes?

qualitative for unordered groups (Set1). sequential for ordered (Blues). diverging for data centered on a midpoint (RdBu, Spectral).

Can I see all ColorBrewer palettes in R?

Yes. RColorBrewer::display.brewer.all() shows every palette in a grid.

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ggplot2 scale_color_brewer() in R: ColorBrewer Palettes

What scale_color_brewer() does in one sentence

Syntax

Five common patterns

1. Set1 (default qualitative)

2. Dark2 (more saturated)

3. Sequential ordered

4. Reverse direction

5. fill version

scale_color_brewer() vs scale_color_viridis_d() vs scale_color_manual

A practical workflow

Common pitfalls

Try it yourself

FAQ

Navigate

Tidyverse packages

Deep dives

Wrangling & EDA

Statistics

Machine Learning

Time Series

By Industry

Reporting & Apps

Levels

ggplot2 scale_color_brewer() in R: ColorBrewer Palettes

What scale_color_brewer() does in one sentence

Syntax

Five common patterns

1. Set1 (default qualitative)

2. Dark2 (more saturated)

3. Sequential ordered

4. Reverse direction

5. fill version

scale_color_brewer() vs scale_color_viridis_d() vs scale_color_manual

A practical workflow

Common pitfalls

Try it yourself

Related ggplot2 / RColorBrewer functions

FAQ