Assigning Data to Roles

To run the Time Series Data Preparation task, you must select an input data source. To filter the input data source, click Filter Icon

You must assign a column to the Time series variable role.

Roles and Options	Description
Roles
Time series variable	lists the variables that contain timestamped data
Treatment of missing values	specifies how to treat missing values in the timestamped data. You can choose from these options: Missing value Average value of the accumulated time series Minimum value of the accumulated time series Median value of the accumulated time series Maximum value of the accumulated time series First nonmissing value of the accumulated time series Last nonmissing value of the accumulated time series The previous period’s accumulated nonmissing value - The missing values are set to the previous accumulated nonmissing value. Missing values at the beginning of the accumulated series remain missing. The next period’s accumulated nonmissing value - The missing values are set to the next accumulated nonmissing value. Missing values at the end of the accumulated series remain missing. Numeric value specifies the value to use for the missing value.
Additional Roles
Time ID	specifies the column that contains the time ID values.
Properties
Interval	specifies the interval for the time ID variable. For more information about time intervals, see Understanding SAS Time Intervals.
Multiplier	specifies the multiplier for the time interval. By default, the multiplier is 1. This value cannot be negative.
Shift	specifies the shift for the time interval. By default, the shift is 1. This value cannot be negative.
Season length	specifies the seasonality of the time interval. The default value depends on the time interval.
Additional Roles
Season length	enables you to specify the seasonality of the data when you do not assign a time ID variable.
Group analysis by	enables you to obtain separate analyses of observations for each unique group.