Time series decomposition is a powerful technique used to dissect temporal data by segmenting it into its core components. By exposing these distinct patterns, we can gain deeper insights into the underlying dynamics of a time series. This process typically involves recognizing read more trends, seasonality, and residuals. Understanding these eleme… Read More