Time series decomposition is a powerful technique used to dissect temporal data by segmenting it into its fundamental components. By uncovering these distinct patterns, we can gain improved insights into the underlying dynamics of a time series. This method typically involves identifying trends, seasonality, and noise. Understanding these elements … Read More