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title: “program 7” author: “Likhitha H K 1NT23IS110” format: html editor: visual

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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

# Load ggplot2 package for visualization
library(ggplot2)

Warning: package 'ggplot2' was built under R version 4.4.3

Step 2: Explore the Inbuilt Dataset

#use the built-in 'iris' dataset
#petal.width is a continuous variable
#'species' ia a 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 Grouping

Step 3.1: Initialize ggplot with Aesthetic Mappings

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

Step 3.2: Add Box Plot Layer

p <- p + geom_boxplot()
p

Step 3.3: Add Labels and Theme

p <- p + labs(title = "Box Plot of Petal Width by Species",              
              x = "Species",               
              y = "Petal Width") +          
  theme_minimal()

Step 3.4: Display the Plot

p