Time series decomposition is a powerful technique used to analyze temporal data by dividing it into its constituent components. By uncovering these distinct patterns, we can gain deeper insights into the underlying trends of a time series. This approach typically involves identifying trends, seasonality, and random fluctuations. Understanding these