TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to analyze temporal data by dividing it into its core components. By uncovering these distinct patterns, we can gain deeper insights into the underlying behavior of a time series. This approach typically involves detecting trends, seasonality, and residuals. Understanding these components allow