Time series decomposition is a powerful technique used to analyze temporal data by dividing it into its fundamental components. By uncovering these distinct patterns, we can gain improved insights into the underlying trends of a time series. This process typically involves detecting trends, seasonality, and noise. Understanding these parts allows f