TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to examine temporal data by splitting it into its constituent components. By exposing 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