Time series decomposition is a powerful technique used to analyze temporal data by segmenting it into its constituent components. By revealing these distinct patterns, we can gain enhanced insights into the underlying dynamics of a time series. This process typically involves identifying trends, seasonality, and residuals. Understanding these compo