R Programming Part 25 Auto Correlation Function

In this video I show issues with shocks and why time series data needs to be stationary to effectively analyse. A great tool I've found is the Auto correlation function lets you analyse visually the degree of random shocks in your data. I'm not a financial analysis but I do use the metaphor for how different stocks can diverge over time due to random events.