Program_09

Program 9: Implement an R script to create multiple histograms from grouped data, visualizing the distribution of a variable across different categories, using ggplot2’s facet_wrap function.

###Objective to create multiple histograms using ggplot2::facet_wrap() to visualize how a variable (Sepal.Length) is distributed across diff grps( Species) in a built in R data set.

#Load the ggplot2 package
library(ggplot2)

###Step 1: Load and explore the data set.

#Load the iris dataset
data(iris)
#view the first few rows of the dataset
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

Step:2 Create grouped histograms using facet_wrap

Let’s now create hostograms of Sepal.Legth for each species using

#create histograms using facet_wrap for grouped data
ggplot(iris, aes(x = Sepal.Length)) +
  geom_histogram(binwidth = 0.3, fill = "skyblue", color = "black") +
  facet_wrap(~ Species) +
  labs(
    title = "Distribution of Sepal Length by Species",
    x = "Sepal Length (cm)",
    y = "Frequency"
  ) +
  theme_minimal()

)