TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to analyze temporal data by splitting it into its core components. By revealing these distinct patterns, we can gain improved insights into the underlying dynamics of a time series. This method typically involves identifying trends, seasonality, and residuals. Understanding these components all