prgm 9

Author

Aditya

Rpubs link :

create multiple histograms using ggplot2::facet_wrap() to visualize how a variable ( e.g., Sepal.Length) is distributed across different groups (e.g., Species)in a built in R dataset.


#Load the ggplkot2 package
library(ggplot2)

Step 1 : Load and explore teh dataset

#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

#Create 

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()