Create Scatterplot with Two Legends Using ggplot2 in R

If we want to create a scatterplot with two legends then we must be having two categorical or factor columns. This can be done by using the below steps −

• Creating a data frame with two numerical and two categorical columns
• Creating the scatterplot with shape and color argument of geom_point function of ggplot2 package

Create the data frame

Let's create a data frame as shown below −

 Live Demo

x<-rnorm(20)
y<-rnorm(20)
Gender<-sample(c("Male","Female"),20,replace=TRUE)
Group<-sample(c("I","II","III"),20,replace=TRUE)
df<-data.frame(x,y,Gender,Group)
df

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

        x          y   Gender Group
1 -0.4799690 1.5891955 Female II
2 0.9413427 0.1495437 Male    III
3 0.2321381 1.1012327 Female  I
4 0.9742311 0.7938336 Male    III
5 -0.3035013 0.8117990 Male   I
6 1.2574545 -0.5482740 Female I
7 0.2966496 0.1084953 Female  III
8 0.5882950 0.2693988 Female  III
9 1.2275719 -0.9168983 Female II
10 -0.3383743 0.3960809 Male  II
11 -0.0976704 0.4654153 Female III
12 -0.5239506 0.4893968 Female I
13 1.0714197 0.5457905 Female  II
14 1.5720266 0.6403787 Female  I
15 -0.6347866 0.7467298 Female I
16 0.4176001 0.5003941 Female  I
17 -0.7211758 0.5015195 Female III
18 -0.9957714 -0.2087898 Male  I
19 0.5924078 1.3892832 Male   III
20 -0.7466664 -0.1326818 Male III

Creating scatterplot with two legends

Loading ggplot2 package and creating the scatterplot with shape defined by Gender and color defined by Group −

library(ggplot2)
x<-rnorm(20)
y<-rnorm(20)
Gender<-sample(c("Male","Female"),20,replace=TRUE)
Group<-sample(c("I","II","III"),20,replace=TRUE)
df<-data.frame(x,y,Gender,Group)
ggplot(df,aes(x,y))+geom_point(aes(shape=Gender,color=Group),size=3)

Output