Time series decomposition is a powerful technique used to examine temporal data by splitting it into its constituent components. By uncovering these distinct patterns, we can gain enhanced insights into the underlying trends of a time series. This approach typically involves recognizing trends, seasonality, and noise. Understanding these elements a