Visualizing data using Box Plots in R

R provides quick way of performing exploratory analysis of your data using boxplots

data<-data.frame(Stat11=rnorm(100,mean=3,sd=2), 
Stat21=rnorm(100,mean=4,sd=1), Stat31=rnorm(100,mean=6,sd=0.5), Stat41=rnorm(100,mean=10,sd=0.5), Stat12=rnorm(100,mean=4,sd=2), Stat22=rnorm(100,mean=4.5,sd=2), Stat32=rnorm(100,mean=7,sd=0.5), Stat42=rnorm(100,mean=8,sd=3), Stat13=rnorm(100,mean=6,sd=0.5), Stat23=rnorm(100,mean=5,sd=3), Stat33=rnorm(100,mean=8,sd=0.2), Stat43=rnorm(100,mean=4,sd=4)) 
df = data.frame(data)

boxplot(data, las = 2, names = c("Station 1","Station 2","Station 3","Station 4","Station 1","Station 2","Station 3","Station 4","Station 1","Station 2","Station 3","Station 4"))

boxplot(data, ylab ="APR (%)", xlab ="Time", las = 2, names = c("Station 1","Station 2","Station 3","Station 4","Station 1","Station 2","Station 3","Station 4","Station 1","Station 2","Station 3","Station 4"))