Time series decomposition is a powerful technique used to analyze temporal data by splitting it into its core components. By exposing these distinct patterns, we can gain enhanced insights into the underlying dynamics of a time series. This process typically involves detecting trends, seasonality, and noise. Understanding these elements allows for