Seasonal adjustment methods like X12ARIMA and TRAMO-SEATS are used to remove seasonal patterns from economic data caused by factors like weather and holidays. These patterns can make it hard to see the true trends in the data. Seasonality can change in how big it is or when it happens, and different models can handle these changes. Removing seasonality helps make economic data easier to compare over time.