Change color of points in scatter plot

Introduction

Once we have created a basic scatterplot we can change the color of the points based on the color attribute of aes(…) function. An aesthetic or aes(…) is a visual property of the objects in your plot. Aesthetics include things like the size, the shape, or the color of your points.

We can change the color based on categorical variable in our data. We can also change the color of the points explicitly without using categorical variable. We will explore both in the below section.

Procedure

We will be working with MPG data set present in-built in ggplot2. Few of the rows of the dataset are as follows:

We will create scatter plot of displ vs hwy and the color of the points will be based on categorical variable class. We will also create same scatterplot but manually setting the color.

Code

Change color of scatter plot point based on categorical variable:

 
library(ggplot2)
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color = class))

And the output of above code is:

Change color of scatter plot manually:

 
library(ggplot2)
ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy), color = "blue")

And the output of above code is:

Conclusion

Thus we have successfully changed the color of point in scatter plot.

References

• http://www.sthda.com/english/wiki/ggplot2-colors-how-to-change-colors-automatically-and-manually