Time series decomposition is a powerful technique used to dissect temporal data by dividing it into its constituent components. By revealing these distinct patterns, we can gain improved insights into the underlying dynamics of a time series. This approach typically involves identifying trends, seasonality, and noise. Understanding these elements a