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