autocorrelation and lag plot explanation

Job ID: 35323504

Budget: $30 – $250 AUD

Hello;
I have this autocorrelation plot for number of lung cancer deaths per year time series,
I need a deep explantation for this plot
what does this plot indicate?
what is the identify seasonality this time series data?
where is the significant and nonsignificant and why?
is this plot indicate there is a Weak stationary or high stationary?
what is the appropriate ARIMA model for this time series according to this plot?

Thanks
Related categories: Python Data Visualization Data Analysis