Time series decomposition is a powerful technique used to examine temporal data by dividing it into its core components. By exposing these distinct patterns, we can gain improved insights into the underlying behavior of a time series. This approach typically involves identifying trends, seasonality, and random fluctuations. Understanding these elem… Read More