Time series decomposition is a powerful technique used to examine temporal data by splitting it into its constituent components. By uncovering these distinct patterns, we can gain enhanced insights into the underlying dynamics of a time series. This approach typically involves identifying trends, seasonality, and residuals. Understanding these elem… Read More