10. This exercise uses the canadian_gas data (monthly Canadian gas production in billions of cubic metres, January 1960 February 20D5}. a. Plot the data using autop'Lotl 1 . gg_subser1'.es{ 1 and gg_season[ 1 to look at the effect of the changing seasonality over time.1 b. Do an STL decomposition of the data. You will need to choose a seasonal window to allow for the changing shape of the seasonal component. c. How does the seasonal shape change over time? [Hint: Try plotting the seasonal component using gg_season[ 1 .] d. Can you produce a plausible seasonally adjusted series? e. Compare the results with those obtained using SEATS and 3111. How are they different