TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to analyze temporal data by dividing it into its constituent components. By exposing these distinct patterns, we can gain improved insights into the underlying trends of a time series. This approach typically involves identifying trends, seasonality, and residuals. Understanding these elements