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