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