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