This is the boxplot section of the gallery. If you want to know more about this kind of chart, visit data-to-viz.com. If you're looking for a simple way to implement it in R or ggplot2, pick an example below.

*Anatomy of a boxplot - Explanation - Image source*

Warning

Boxplot is probably the most commonly used chart type to compare distribution of several groups. However, you should keep in mind that data __distribution is hidden__ behind each box. For instance, a normal distribution could look exactly the same as a bimodal distribution. Please read more explanation on this matter, and consider a violin plot or a ridgline chart instead.

Ggplot2

Boxplot are built thanks to the `geom_boxplot()`

geom of `ggplot2`

. See its basic usage on the first example below. Note that reordering groups is an important step to get a more insightful figure. Also, showing individual data points with jittering is a good way to avoid hiding the underlying distribution.

Basic R

Build boxplot with base R is totally doable thanks to the `boxplot()`

function. Here are a few examples of its use:

🌐 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!