Time series decomposition is a powerful technique used to dissect temporal data by splitting it into its fundamental components. By revealing these distinct patterns, we can gain enhanced insights into the underlying dynamics of a time series. This approach typically involves recognizing trends, seasonality, and random fluctuations. Understanding t