Is it stationary
Identifying whether a time series is stationary or non-stationary is very important. If it is stationary you can use ARMA models to predict the next values of the time series. If it is non-stationary then you cannot use ARMA models, however, as you will see in the next lesson, you can often transform non-stationary time series to stationary ones.
In this exercise you will examine some stock and earthquake data sets in order to identify which are ready for ARMA modeling, and which will need further work to make them stationary.
This exercise is part of the course
ARIMA Models in Python
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
