Deseasonalization is the process of removing seasonal patterns from time series data to better understand the underlying trends and cycles. This technique helps in making forecasts by isolating the non-seasonal components, allowing analysts to focus on the more stable aspects of the data. By eliminating seasonal fluctuations, deseasonalization enhances the accuracy of predictions and provides clearer insights into long-term trends and cyclical patterns.
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