Rolling windows versus aggregation
In time series analysis, there are two key methods for finding the overall trends in a dataset: aggregation and rolling windows. Both methods have advantages and disadvantages, depending on the type of data you have and what your intended use case might be.
In this exercise, you'll categorize different descriptions and uses for either aggregation or rolling windows, and place it into the relevant category.
This exercise is part of the course
Manipulating Time Series Data in R
Hands-on interactive exercise
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