Time series decomposition is a powerful technique used to examine temporal data by segmenting it into its fundamental components. By exposing these distinct patterns, we can gain deeper insights into the underlying trends of a time series. This approach typically involves identifying trends, seasonality, and noise. Understanding these elements allo