A common pattern of variation in time series data that repeats at regular intervals, such as weekly, monthly, or yearly. Seasonality can affect the accuracy of forecasts if it is not properly accounted for in the modeling process.
A common pattern of variation in time series data that repeats at regular intervals, such as weekly, monthly, or yearly. Seasonality can affect the accuracy of forecasts if it is not properly accounted for in the modeling process.