A boxplot is a graph that gives us a good indication of how the values in the data are spread out.

Box plots provide some indication of the data's symmetry and skew-ness.

### Dataset to Create Boxplot

In R, first we need to load the dataset of which we want to create the boxplot of.

In this tutorial, we will be using the built-in dataset named `mtcars`

to create a boxplot.

Let's see the first six rows of the dataset we will be using,

```
# use head() to load first six rows of mtcars dataset
head(mtcars)
```

**Output**

```
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
```

We will be creating a stripchart of this dataset.

## Create boxplot in R

In R, we use the `boxplot()`

method to create a boxplot. For example,

```
# boxplot for ozone reading of airquality dataset
boxplot(mtcars$mpg)
```

**Output**

In the above example, we have used the `boxplot()`

function and the `$`

operator to create a boxplot of the `mpg`

reading of the `mtcars`

dataset.

We can pass additional parameters to control the way our plot looks.

## Add Title, Label, New Color to a Boxplot in R

We can add titles, provide labels for the axes, and change the color of the boxplot in R. For example,

```
# add title, label, new color to boxplot
boxplot(mtcars$mpg,
main="Mileage Data Boxplot",
ylab="Miles Per Gallon(mpg)",
xlab="No. of Cylinders",
col="orange")
```

**Output**

In the above figure, we can see that we have added a title, a label to the x-axis and y-axis, and changed the color of the boxplot.

Here,

`main`

- adds the title`"Mileage Data Boxplot"`

`xlab`

- adds the label`"No. of Cylinders"`

for x-axis`ylab`

- add the label`"Miles Per Gallon(mpg)"`

for y-axis`col = "Orange"`

- changes the color of boxplot to orange

## Boxplot Formula in R

In R, the function `boxplot()`

can also take in formulas of the form `y~x`

where `y`

is a numeric vector which is grouped according to the value of `x`

.

For example, in our dataset `mtcars`

, the mileage per gallon `mpg`

is grouped according to the number of cylinders `cyl`

present in cars.

Let's take a look at example,

```
boxplot(mpg ~ cyl, data = mtcars,
main = "Mileage Data Boxplot",
ylab = "Miles Per Gallon(mpg)",
xlab = "No. of Cylinders",
col = "orange")
```

**Output**

In the above example, we have created a boxplot for the relation between `mpg`

and `cyl`

. Notice the code

```
boxplot(mpg ~ cyl, data = mtcars,
...
)
```

Here,

`mpg ~ cyl`

- mileage per gallon`mpg`

is grouped according to the number of cylinders`cyl`

in cars`data = mtcars`

- data is taken from mtcars dataset

It is clear from the above figure that less number of cylinders means more mileage per gallon.

## Add Notch to Boxplot in R

In R, we add a notch to boxplot to find out how the medians of different data groups match with each other. For example,

```
boxplot(mpg ~ cyl, data = mtcars,
main ="Mileage Data Boxplot",
ylab ="Miles Per Gallon(mpg)",
xlab ="No. of Cylinders",
col ="orange",
notch = TRUE)
```

**Output**

In the above example, we have added notch to boxplot to find out how the medians of different data groups match with each other.

**Note**: If the notches overlap, we can say that the medians are equal to each other.