Seasonal data

In monthly or quarterly data, there is often a pattern of peaks and troughs that repeats in a similar way each year. Daily data often show a pattern that repeats each week, and hourly data often have a daily pattern. These are all called seasonal patterns.

Seasonal patterns make it difficult to assess whether a particular month's value is unusually high or low.

Regular seasonal patterns can be projected into the future and are important in forecasting.