Syntax error How to create density plot for categories in R?

How to create density plot for categories in R?

To create density plot for categories, we can follow the below steps −

  • Frist of all, create a data frame.
  • Load ggplot2 package and creating the density plot for the whole data.
  • Create the density plot for the categories in the data frame by using col function.

Create the data frame

Let's create a data frame as shown below −

 Live Demo

x<-sample(LETTERS[1:3],20,replace=TRUE)
y<-sample(1:100,20)
df<-data.frame(x,y)
df

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

  x y
1 A 47
2 B 46
3 B 29
4 C 53
5 C 60
6 C 17
7 B 79
8 B 12
9 B 30
10 C 91
11 A 92
12 A 2
13 B 25
14 B 98
15 B 88
16 C 34
17 C 50
18 A 20
19 C 90
20 B 87

Loading ggplot2 package and creating a density plot for whole data

library(ggplot2)
x<-sample(LETTERS[1:3],20,replace=TRUE)
y<-sample(1:100,20)
df<-data.frame(x,y)
ggplot(df,aes(y))+geom_density()

Output

Create density plot based on categories

Use col function inside aes of geom_density function to create the density plot based on categories −

library(ggplot2)
x<-sample(LETTERS[1:3],20,replace=TRUE)
y<-sample(1:100,20)
df<-data.frame(x,y)
ggplot(df,aes(y))+geom_density(aes(col=x),alpha=0.2)

Output

Updated on: 2021-08-13T11:54:35+05:30

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