# Load necessary libraries
library(ggplot2)
PROGRAM-4
Develop a script in R to produce a bar graph displaying the frequency distribution of categorical data in a given dataset,grouped by a specific variable,using ggplot2.
Step1:Load the required libraries
Step2:Load the dataset
# Load dataset
<- mtcars
data
# Display first few rows
head(data)
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
Step3: Convert numeric data to categorical
$cyl <- as.factor(data$cyl)
data$gear <- as.factor(data$gear) data
Step4:Create a bar graph
# Create a bar graph
ggplot(data, aes(x = cyl, fill = gear)) +
geom_bar(position = "dodge") + # Grouped bar chart
labs(title = "Frequency of Cylinders Grouped by Gear Type",
x = "Number of Cylinders",
y = "Count",
fill = "Gears") + # Legend title
theme_minimal()