A Scatterplot displays the relationship between 2 numeric variables. Each dot represents an observation. Their position on the X (horizontal) and Y (vertical) axis represents the values of the 2 variables. Using ggplot2, scatterplots are built thanks to the geom_point geom.

Using the ggplot2 package

Scatterplots are built with ggplot2 thanks to the geom_point() function. Discover a basic use case in graph #272, and learn how to custom it with next examples below.

Using base R

Base R is also a good option to build a scatterplot, using the plot() function. The chart #13 below will guide you through its basic usage. Following examples allow a greater level of customization.

Special use case: Manhattan plots

A Manhattan plot is a particular type of scatterplot used in genomics. The X axis displays the position of a genetic variant on the genome. Each chromosome is usually represented using a different color. The Y axis shows p-value of the association test with a phenotypic trait.

🌐 From the web

The web is full of astonishing R charts made by awesome bloggers. The R graph gallery tries to display some of the best creations and explain how their source code works. If you want to display your work here, please drop me a word or even better, submit a Pull Request!

Related chart types

Connected scatter
Density 2d