Scaling transforms datasets to a common scale, usually to compare datasets with different scoring mechanisms. It allows measurement of relative effects across scales. The scale() function scales and centers data by dividing column values by the standard deviation and subtracting from the column mean. Recent updates to the forecast package allow using ggplot for plotting time series forecasts, with the autoplot() function creating ggplot graphics from time series objects.