The tool supports interface of Foresight Analytics Platform 9 or earlier.

Interpolation

The method calculates data of a lower level based on upper level data. It is used in problems that require data disaggregation. For example, when it is required to distribute quarterly frequency data by months.

NOTE. To disaggregate data, calendar frequency of the input variable must be greater than that of the output variable. If calendar frequency of the input variable is smaller or the same as output variable frequency, the user cannot create the Interpolation equation.

To set up method parameters, use the Equation side panel tab.

To display the tab

Select the variable representing a pattern data series in the Pattern Series hierarchical list.

How to set or clear the Pattern Series parameter?

See also:

Working with Equations | Interpolation Methods | Time Series Analysis: Interpolation | IModelling.Interpolate | IModelling.InterpolateP