In this chapter, the time series examples used annual sunspot cycles data.
You learned that it's common to try to derive a relationship between a value and another data point or combination of data points a fixed number of periods in the past, in the same time series.
A moving average specifies a window of previously seen data, which is averaged each time the window slides forward by one period. In the pandas API, the
rolling_window() function provides the window functions functionality with different values of the
win_type string parameter corresponding to different window functions.
Cointegration is similar to correlation and is a metric to define the relatedness of two time series. In regression setups, we frequently encounter the problem ...