Question

tourism contains quarterly visitor nights (in thousands) from 1998 to 2017 for 76 regions of Australia. (a) Extract data from the Gold Coast region using filter() and aggregate total overnight trips (sum over Purpose) using summarise(). Call this new dataset gc_tourism. (b) Using slice() or filter(), create a training set for this data excluding the last 3 years. Call the dataset gc_train_3. (c) Compute three years of forecasts using the average, naive, seasonal naive, and drift methods. Call the result gc_fc_3. (d) Use accuracy() to compare forecast accuracy of different methods using MAPE. Explain your finding. (e) Use the time series cross-validation method to compare forecast accuracy of different methods. Explain your finding.

          tourism contains quarterly visitor nights (in thousands) from 1998 to 2017 for 76 regions of Australia.
(a) Extract data from the Gold Coast region using filter() and aggregate total overnight trips (sum over Purpose) using summarise(). Call this new dataset gc_tourism.
(b) Using slice() or filter(), create a training set for this data excluding the last 3 years. Call the dataset gc_train_3.
(c) Compute three years of forecasts using the average, naive, seasonal naive, and drift methods. Call the result gc_fc_3.
(d) Use accuracy() to compare forecast accuracy of different methods using MAPE. Explain your finding.
(e) Use the time series cross-validation method to compare forecast accuracy of different methods. Explain your finding.

tourism contains quarterly visitor nights (in thousands) from 1998 to 2017 for 76 regions of Australia.
(a) Extract data from the Gold Coast region using filter() and aggregate total overnight trips (sum over Purpose) using summarise(). Call this new dataset gctourism.
(b) Using slice() or filter(), create a training set for this data excluding the last 3 years. Call the dataset gctrain3.
(c) Compute three years of forecasts using the average, naive, seasonal naive, and drift methods. Call the result gcfc3.
(d) Use accuracy() to compare forecast accuracy of different methods using MAPE. Explain your finding.
(e) Use the time series cross-validation method to compare forecast accuracy of different methods. Explain your finding.

Added by Kate M.

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