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If **labeled box plot in R** programming language is a new concept to you, check out this post. It will walk you through all the basics, from the definition to how it operates.

**What Is The Labeled Box Plot?**

Box plot is a distinctive and helpful type of graph in R. The primary components of a box plot include quartiles, median, fences, outliers, and whiskers. It enables you to examine the distribution of data and spot various trends within the data set. Additionally, you may use this approach to compare various groupings.

In box plots, labels are utilized to represent the distribution of data based on the variance, median, and mean of the given data variables. The y-axis and x-axis are typically given R box plot labels to give a box plot diagram more context.

The minimum and maximum values are shown at the beginning and conclusion of a box plot, respectively. You can also find the box plot’s mean label displayed in the center, along with labels for the first and third quartiles that correspond to this mean position.

**How To Utilize Labeled Box Plot**

In the R programming language, you can utilize the function `boxplot()`

to construct graphs. In order to build box plots, the combination of the function `geom_boxplot()`

with the function `ggplot()`

can help make box plots.

The method `boxplot()`

is used in the sample below to create a straightforward box plot with three distributions.

```
v1 <- c(1,2,3,4)
v2 <- c(3,4,5,6)
v3 <- c(5,6,7,8)
boxplot(v1,v2,v3)
```

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You may also label your graph utilizing the correct parameters. In this situation, the x-axis is labeled by the parameter xlab, while the y-axis is labeled by the ylab. The graph’s title will be set by the parameter main. Utilizing the parameter names, you are able to label other groups that exist in your plots.

Below is an example for reference.

```
boxplot(v1,v2,v3, main = "Sample Graph",
xlab = "X Values", ylab = "Y Values",
names = c("First","Second","Third"))
```

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Take note of how the second graph, which has labels, differs from the first in the above instance.

In order to add notches to the box and aid in understanding the data medians, you can try adding the parameter notch with True as its value. In case you want more boxes on a different axis, setting the parameter horizontal to True will do the work.

Check out the following example.

```
boxplot(v1,v2,v3, main = "Sample Graph",
xlab = "X Values", ylab = "Y Values",
names = c("First","Second","Third"), notch = TRUE, horizontal = TRUE)
```

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**The Bottom Line**

Now you know the basics of **labeled box plot in R** programming language. As you can see, these graphs are highly helpful and can offer you some fantastic data insights. Using the box plots is an intriguing method of testing the data that sheds light on its significance and possibilities.

Suppose you are new to R; continue checking out our other guides, such as how to concatenate strings or create DataFrame. These are all useful skills to have while working with the R programming language.

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