library(ggplot2)
library(dplyr)
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Create multiple histogram using ggplot2::facet_wrap() to visualize how a varible(e.g, Sepal.length) is distributed across different groups in a built in R dataset
library(ggplot2)
library(dplyr)
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
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
ggplot(iris, aes(x = Sepal.Length)) +
geom_histogram(binwidth = 0.3, color = "black", fill = "skyblue", alpha = 0.7) +
facet_wrap(~ Species) +
labs(title = "Distribution of Sepal Length by Species",
x = "Sepal Length",
y = "Frequency") +
theme_minimal()