#install.packages("ggplot2") # Uncomment if needed
library(ggplot2)Program_11
Write an R program to generate a basic box plot, enhanced with notches and outliers, and grouped by a categorical variable, using ggplot2.
Step 1: Load required package
We use the ggplot2 package for data visualization.if it’s not already installed, you can install it using:
Step 2: Use an inbuilt Dataset
We will use the built-in iris dataset.This dataset contains measurements of sepal and petal dimensions for three speciees of iris flowers: - Setosa - Versicolor - Virginica
# Load and preview the dataset
data(iris)
head(iris) 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
str(iris)'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 ...
The Species column is categorical,making it suitable for grouping, while Sepal.Length is a numerical variable we’ll have to analyze.
Step 3: Create a notched box plot grouped by Species.
We now create a box plot for Sepal.Length,grouped by Species. We’ll enhance the plot using:- Notches to show the confidence interval around the median - Outliers Highlighting using color and shape - Asethetic enhancement like fill color and theme.
ggplot(iris,aes(x=Species,y=Sepal.Length))+
geom_boxplot(
notch=TRUE,
notchwidth=0.6,
outlier.color = "red",
outlier.shape = 16,
fill="skyblue",
alpha=0.7
)+
labs(
title = "Sepal Length Distribution by Iris Species",
subtitle = "Box plot with Notches and Outlier Highlighting",
x="Species",
y="Sepal Length(cm)"
)+
theme_minimal()Box Plot -Each box summarises the distribution of the Sepal.Lenghtfor a species - showing the interquartile range(IQR) ,median and potential outliers.
Notches -The notches. give a rough 95% confidence interval around the median.If notches of two boxes do not overlap, the medians are significantly different.
Outliers -Points that fall outside 1.5 IQR from the quartiles are considered outliers and shown in red.
Grouping -The plot groups values based on the categorical variable Species , Helping compare between groups.
Aesthetics -theme_minimal()provides a clean background, while colors and transparency make the plot readable.