5. Working with Seasonal Time Series

Matters get incrementally more complicated when you have a time series that’s characterized in part by seasonality: the tendency of its level to rise and fall in accordance with the passing of the seasons. We use the term season in a more general sense than its everyday meaning of the year’s four seasons. In the context of predictive analytics, a season can be a day if patterns repeat weekly, or a year in terms of presidential election cycles, or just about anything in between. An eight-hour shift in a hospital can represent a ...

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