In this story I will show an easy approach to fill large gaps in time series, mantaining a certain veridicity and data validity.
The approach consists in applying a forecasting in both sides of the gap, and combining the two prediction using interpolation.
In my specific case, I was busy in analysing a dataset divided into three parts. One of the required analyssis was to trying various forecasting tecniques. For this reason I will explain how you can you apply this approach also to attach consequential files, concerning same data entity.
In this specific case we are going to use…