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 exposing these distinct patterns, we can gain improved insights into the underlying behavior of a time series. This method typically involves recognizing trends, seasonality, and noise. Understanding these elements allows for