TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to examine temporal data by segmenting it into its fundamental components. By exposing these distinct patterns, we can gain enhanced insights into the underlying dynamics of a time series. This method typically involves identifying trends, seasonality, and noise. Understanding these components