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