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