Differencing is a technique used in time series analysis to make a non-stationary series stationary by subtracting the previous observation from the current observation. This process helps to remove trends and seasonality from the data, making it easier to identify underlying patterns. It is a crucial step in various forecasting models, especially when working with ARIMA models, as it allows for more accurate predictions by ensuring that the data meets the assumptions required for these analyses.
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