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Boxplots in R, A boxplot is a plot that displays the five-digit summary of a dataset. The five-digit summary is the lowest value, the first quartile, the median, the third quartile, and the maximum value.

We can use a boxplot to easily visualize a set of data.

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## Boxplots in R

Let’s create a data frame for box plot generation.

```data <- data.frame( A = rpois(900, 3),
B = rnorm(900),
C = runif(900)```

Suppose if want to create a single boxplot then the following syntax will be useful.

`boxplot(data)`

Output:- Let’s take ToothGrowth data frame for Box plot generation.

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```head(ToothGrowth)
len supp dose
1  4.2   VC  0.5
2 11.5   VC  0.5
3  7.3   VC  0.5
4  5.8   VC  0.5
5  6.4   VC  0.5
6 10.0   VC  0.5```

Suppose if we want to generate one boxplot for each supp in the dataset. Create a boxplot that displays len distribution for each supp in the dataset.

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```boxplot(len~supp,
data= ToothGrowth,
main="ToothGrowth ",
xlab="supp",
ylab="len",
col="red",border="black"
)``` ```boxplot(len~dose,
data=ToothGrowth,
main="Different boxplots for per day growth",
xlab="Tooth length",
col="green",
border="brown",
horizontal=TRUE
)``` ## Boxplot in R-ggplot2

We can make use of ggplot2 for boxplot creation. Let’s load the library.

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```library(ggplot2)
ggplot(data = ToothGrowth, aes(x=as.character(supp), y=len)) +
geom_boxplot(fill="orange") +
labs(title=" ToothGrowth ", x="Supp", y="len")``` Preparing for Kerala PSC check your score now.

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