Methods of Missing Data Substitution

Missing data treatment substitutes empty series values using a variety of missing data substitution methods. Methods are included in the group of methods that perform transformations on series.

The following methods are available in the time series analysis tool:

NOTE. The Linear Trend, Average, N-Point Average methods are available only in the desktop application.

To apply the method

After the method is applied, in the workbook, based on each selected series a calculated series with a name of the <Method_Name>(<Series_Name>) type is created, containing the calculation results. For example:

Setting Up Calculation Parameters. The Parameters Tab

To set up parameters of the method of missing data substitution, use the Parameters side panel tab.

To display the tab

Set the parameter value. The calculated series is recalculated.

See also:

Working with Calculated Series | Methods of Missing Data Treatment | Modeling Container Missing Data Treatment | IModelling.Fill