# How to Plot Multiple Boxplots in One Chart in R A boxplot (sometimes called a box-and-whisker plot) is a plot that shows the five-number summary of a dataset. The five-number summary is the minimum, first quartile, median, third quartile, and the maximum. We can use a boxplot to easily visualize a dataset in one simple plot.

This tutorial explains how to plot multiple boxplots in one plot in R.

## Plotting Multiple Boxplots in R

To create boxplots in R, we can either use base R or install a fancier package like ggplot2.

### Boxplots in Base R

To illustrate how to create boxplots in base R, we’ll work with the built-in airquality dataset in R:

```#view first 6 rows of "airquality" dataset

# Ozone Solar.R Wind Temp Month Day
#1 41   190     7.4   67   5     1
#2 36   118     8.0   72   5     2
#3 12   149     12.6  74   5     3
#4 18   313     11.5  62   5     4
#5 NA   NA      14.3  56   5     5
#6 28   NA      14.9  66   5     6
```

To create a single boxplot for the variable “Ozone”, we can use the following syntax:

```#create boxplot for the variable "Ozone"
boxplot(airquality\$Ozone)
```

This generates the following boxplot: Suppose we instead want to generate one boxplot for each month in the dataset. The following syntax shows how to do so:

```#create boxplot that displays temperature distribution for each month in the dataset
boxplot(Temp~Month,
data=airquality,
main="Temperature Distribution by Month",
xlab="Month",
ylab="Degrees (F)",
col="steelblue",
border="black"
)
```

This generates the following chart that displays one boxplot for each month: ### Boxplots in ggplot2

Another way to create boxplots in R is by using the package ggplot2. We’ll use the built-in dataset airquality again for the following examples.

To create a single boxplot for the variable “Ozone” in the airquality dataset, we can use the following syntax:

```#create boxplot for the variable "Ozone"
library(ggplot2)

ggplot(data = airquality, aes(y=Ozone)) + geom_boxplot()
```

This generates the following boxplot: If instead we want to generate one boxplot for each month in the dataset, we can use thee following syntax to do so:

```#create boxplot that displays temperature distribution for each month in the dataset
library(ggplot2)

ggplot(data = airquality, aes(x=as.character(Month), y=Temp)) +
geom_boxplot(fill="steelblue") +
labs(title="Temperature Distribution by Month", x="Month", y="Degrees (F)")
```

This generates the following chart that displays one boxplot for each month: 