Select Page

How to Remove Outliers from Boxplot using ggplot2 in R

by | Programming, R, Tips

This tutorial will go through how to remove outliers from a boxplot using ggplot2 in R with the help of code examples.


In the following example, we are going to use the iris dataset to create a boxplot.


ggplot(data=iris, aes(x=Species, y=Sepal.Length)) + 

We can see that there is an outlier for the virginica species.

Remove Outlier Using outlier.shape=NA

We can remove the outlier by using the argument outlier.shape=NA in the geom_boxplot() constructor. Let’s look at the revised code:


ggplot(data=iris, aes(x=Species, y=Sepal.Length)) + 

Let’s run the code to see the result.

We successfully removed the outlier from the boxplot.


Congratulations on reading to the end of this tutorial!

For further reading on plotting in R, go to the articles:

Go to the online courses page on R to learn more about coding in R for data science and machine learning.

Have fun and happy researching!