A boxplot is another important graph that summarizes the data along with the distribution. In this recipe, we will see how we can produce a boxplot in order to visualize the data summary with distributions.
To create the boxplot, we simulated the dataset as per the following code snippet:
# Set a seed value to make the data reproducible set.seed(12345) qqdata <-data.frame(disA=rnorm(n=100,mean=20,sd=3), disB=rnorm(n=100,mean=25,sd=4), disC=rnorm(n=100,mean=15,sd=1.5), age=sample((c(1,2,3,4)),size=100,replace=T), sex=sample(c("Male","Female"),size=100,replace=T), econ_status=sample(c("Poor","Middle","Rich"), size=100,replace=T))