TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to dissect temporal data by dividing it into its constituent components. By uncovering these distinct patterns, we can gain improved insights into the underlying trends of a time series. This method typically involves detecting trends, seasonality, and noise. Understanding these elements allows