Time series decomposition is a powerful technique used to analyze temporal data by segmenting it into its constituent components. By uncovering these distinct patterns, we can gain enhanced insights into the underlying behavior of a time series. This process typically involves detecting trends, seasonality, and random fluctuations. Understanding th