load the AirPassangers data,check its class and see the start and end of the series .
check the cycle of the TimeSeries AirPassangers .
create the lagplot using the gglagplot from the forecast package,check how the relationship changes as the lag increases
Also plot the correlation for each of the lags , you can see when the lag is above 6 the correlation drops and again climbs up in 12 and again drops in 18 .
Plot the histogram of the AirPassengers using gghistogram from forecast
Use tsdisplay to plot autocorrelation , timeseries and partial autocorrelation together in a same plot
Find the outliers in the timeseries .