Time series decomposition is a method used to break down a time series into its constituent components such as trend, seasonality, and error. It is useful for understanding the underlying patterns and structure of the data.
Time series decomposition is a method used to break down a time series into its constituent components such as trend, seasonality, and error. It is useful for understanding the underlying patterns and structure of the data.