TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to examine temporal data by dividing it into its constituent components. By revealing these distinct patterns, we can gain enhanced insights into the underlying behavior of a time series. This approach typically involves recognizing trends, seasonality, and noise. Understanding these elements a