Time series decomposition is a powerful technique used to examine temporal data by segmenting it into its core components. By revealing these distinct patterns, we can gain enhanced insights into the underlying behavior of a time series. This process typically involves recognizing trends, seasonality, and residuals. Understanding these components a… Read More