Time Series Decomposition: Unlocking Temporal Patterns
Time series decomposition is a powerful technique used to dissect temporal data by splitting it into its core components. By uncovering these distinct patterns, we can gain enhanced insights into the underlying trends of a time series. This method typically involves recognizing trends, seasonality, and residuals. Understanding these components allo