Re: R Control Chart

Here's is an example of creating a histogram with a density distribution line.

hist(dataset$Age, 
     main = "Customer Count by Age",
     ylab="Customer Count", 
     xlab="Customer Age",
     xlim = c(18, 100),
     border="black",
     breaks=20,
     col=c("lightyellow", "lightblue"), 
     las=1,
     probability = TRUE
)

lines(density(dataset$Age),lty="dotdash", lwd=4, col="red")

Here's an example of creating a barblot

barplot(dataset$'Sales Revenue',        
        names.arg = dataset$'Age Group', 
        main = "Sales Revenue by Customer Age Group",
        col = c("red","yellow","orange","blue", "green")
)

minValue <- 0
maxValue <- max(as.vector(dataset$'Sales Revenue'))
yTicks <- seq(from=minValue, to = maxValue, length.out = 10)
yTicks <- pretty(yTicks)
yTickLabels <- paste("$",format(yTicks/1000, , big.mark=","), "K",sep="")
axis(2, at=yTicks, labels = yTickLabels, lty = 1, las=1, cex.axis=0.7 )

Of course, these are simple examples using the built-in R graphics functionality. You can also use a richer graphics package such as lattice or ggplot2 to create some really detailed charts and graphs.

Is this what you are looking for?