For each time seriesan aggregation of transactional data into specified time intervals and sorted according to unique combinations of the default attributes (BY variables), seasonalitya regular change in time series data values that occurs at the same point in each time cycle. can be determined by how often the time interval can be repeated in the larger time interval. For example, if the time interval for the date variable is set to month, then seasonality is based on 12 months in a year. The following table shows the seasonality for each time interval that can be used in a project.
|
Time Interval |
Seasonality |
|---|---|
|
Second |
60 |
|
Minute |
60 |
|
Hour |
24 |
|
Day |
7 |
|
Weekday |
5 |
|
Week |
52 |
|
ISO 8601 week |
52 |
|
Ten-day |
36 |
|
Semimonth |
24 |
|
Month |
12 |
|
Retail 4–4–5 month |
12 |
|
Retail 4–5–4 month |
12 |
|
Retail 5–4–4 month |
12 |
|
Quarter |
4 |
|
Retail 4–4–5 quarter |
4 |
|
Retail 4–5–4 quarter |
4 |
|
Retail 5–4–4 quarter |
4 |
|
Semiyear |
2 |
|
Year |
1 |
|
ISO 8601 year |
1 |
|
Retail 4–4–5 year |
1 |
|
Retail 4–5–4 year |
1 |
|
Retail 5–4–4 year |
1 |