Program_6

Problem statement: Write an R script to construct a box plot showcasing the distribution of a continuous variable, grouped by a categorical variable, using ggplot2’s fill aesthetic.

Step 1: Load required Library

We first load the ggplot2 package,which is for data visualization

# Load ggplot2 package for visualization
library(ggplot2)

Step 2: Explore the Inbuilt dataset

# use the built-in 'iris' dataset
# `Petal.Length` is a continuous variable
# `Species` is categorical grouping variable
str(iris) # View structure of the dataset

'data.frame':   150 obs. of  5 variables:
 $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
 $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
 $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
 $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
 $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...

head(iris)  #View sample data

  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2  setosa
2          4.9         3.0          1.4         0.2  setosa
3          4.7         3.2          1.3         0.2  setosa
4          4.6         3.1          1.5         0.2  setosa
5          5.0         3.6          1.4         0.2  setosa
6          5.4         3.9          1.7         0.4  setosa

Step 3: Construct Box Plot with growing

# Initialize ggplot with data and aesthetic mappings

p <- ggplot(data=iris,aes(x=Species,y=
Petal.Width,fill=Species))

# Add the box plot layer
p <- p +geom_boxplot()
p

# add title and axis labels, and apply clean theme
p <- p + labs(
title="Box plot",
x="Species",
y= "Petal Width")+
theme_minimal()
p

# add title and axis labels, and apply clean theme
p <- p + labs(
title="Box plot",
x="Species",
y= "Petal Width")+
theme_minimal()+
theme(legend.position='top')
p