How to create a scatterplot with dark points using ggplot2 in R?

To create a scatterplot with low intensity of points using ggplot2, we can follow the below steps −

• First of all, create a data frame.
• Then, create the scatterplot.
• Create the scatterplot with scale_color_hue function for dark points.

Create the data frame

Let's create a data frame as shown below −

 Live Demo

x<-sample(1:100,25) y<-sample(1:100,25) Factor<-sample(c("Real","Imaginary"),25,replace=TRUE) df<-data.frame(x,y,Factor) df

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

  x y    Factor 1 43 50 Imaginary 2 6 52  Imaginary 3 19 60 Real 4 42 24 Real 5 99 66 Imaginary 6 32 69 Real 7 11 91 Imaginary 8 97 93 Imaginary 9 16 99 Real 10 76 7 Real 11 95 89 Imaginary 12 13 4 Imaginary 13 74 49 Imaginary 14 40 94 Real 15 54 47 Imaginary 16 38 15 Real 17 96 74 Real 18 20 72 Imaginary 19 34 23 Real 20 57 87 Imaginary 21 82 2 Real 22 36 59 Imaginary 23 98 67 Real 24 1 98 Real 25 65 62 Real

Create the scatterplot

Use geom_point function of ggplot2 package to create the scatterplot −

x<-sample(1:100,25) y<-sample(1:100,25) Factor<-sample(c("Real","Imaginary"),25,replace=TRUE) df<-data.frame(x,y,Factor) library(ggplot2) ggplot(df,aes(x,y,color=Factor))+geom_point()

Output

Create the scatterplot with dark points

Use scale_color_hue function of ggplot2 package with l argument to create the scatterplot with dark points(the default values for l is 65) −

x<-sample(1:100,25) y<-sample(1:100,25) Factor<-sample(c("Real","Imaginary"),25,replace=TRUE) df<-data.frame(x,y,Factor) library(ggplot2) ggplot(df,aes(x,y,color=Factor))+geom_point()+scale_color_hue(l=50)

Output