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Build time series forecast for new region

So you have built models forecasting sales for the metropolitan region in your lessons and the mountain region in the videos. Let's build a middle-out forecast for the southeast coastal region and then we will have completed the whole state's hierarchy! In your workspace you have SEC_total for sales and dates_valid and SEC_t_v for validation.

Diese Übung ist Teil des Kurses

Forecasting Product Demand in R

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Anleitung zur Übung

  • Build a time series model for the southeast coastal regional sales (SEC_total).
  • Forecast out 22 values into 2017.
  • Make this forecast an xts object using the date index dates_valid.
  • Calculate the MAPE.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Build a time series model for the region using auto.arima
SEC_t_model_arima <- ___(___)

# Forecast the time series model
for_SEC_t <- ___(___, h = ___)

# Make into an xts object from the forecast you just made
for_SEC_t_xts <- ___(___$mean, order.by = ___)

# Calculate the MAPE
MAPE <- mape(___, SEC_t_v)
print(MAPE)
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