What are the most effective ways to detect and correct seasonality in time series data?
The behaviour and trends of time series data can be significantly influenced by seasonality, which can have a substantial impact. When attempting to forecast the sales of a product, for instance, it is necessary to take into consideration the seasonal shifts in demand, which might be caused by factors such as holidays, weather, or promotional activities.
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