Seasonal sub-series plots are formed by[3] The horizontal line displays the mean value for each month over the time series.
It is important to know when analyzing a time series if there is a significant seasonality effect.
They allow visual inferences to be drawn from data prior to modelling and forecasting.
Seasonal subseries plots can be implemented in the R programming language using function monthplot().
Example The following R code results in the above seasonal deviation plot of antidiabetic drug sales; > monthplot(a10, ylab= "$ million" , xlab= "Month", xaxt= "n", main= "Seasonal deviation plot: antidiabetic drug sales") > axis(1, at=1:12, labels=month.abb, cex=0.8) This article incorporates public domain material from the National Institute of Standards and Technology