Session Ready
Exercise

Build time series forecast at regional level

Sometimes you don't have the time to build forecasts for every product, so we take a top-down approach to hierarchical forecasting. Let's work on the metropolitan region in reverse this time!

Your workspace has the following objects pre-loaded: MET_total for the total regional sales, dates_valid, and MET_t_v for the valiation data set.

Instructions
100 XP
  • Build a time series model for all the sales in the metropolitan region (MET_total).
  • Forecast out 22 values into 2017 from this model.
  • Make this forecast into an xts object.
  • Calculate the MAPE.