Time series in R for Sales

separate datasets into several time series according to different stores & product categories. think about how to automate time series analysis on several time series all at once. observe special occasions (holiday events, drastic oil price movements) and think how to deal with them (e.g. removing some effects before analysis). Plot the times series, acf and start by examining the stationarity of time series. may wish to take differences/transform time series if needed. Choose a simple time series model, for example an AR(p), an MA(q) or ARMA model as starting point. Look at the results and conduct appropriate residual analysis (e.g. pattern, non-stationarity etc). Adjust model accordingly. These are just some of the details to take note of. Need someone who is proficient in Timeseries in R