TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to dissect temporal data by splitting it into its core components. By exposing these distinct patterns, we can gain deeper insights into the underlying trends of a time series. This approach typically involves identifying trends, seasonality, and random fluctuations. Understanding these parts a