Missing data configuration

Missing data strategies (algorithms) apply to specific types of points.

These types of points benefit from missing data strategies:

Interpolation algorithm	Numeric Point	Boolean Point	Enum Point
K-nearest neighbor	þ	þ	þ
Linear interpolation	þ

NOTE: Linear interpolation works on raw history and also when an interval is selected. Any interval can be applied to get interpolated records. KNN works only when an interval other than none is selected for the series.

There are several places where you can set up a missing data strategy:

Using the Missing Data Strategy property under the AnalyticService sets up a global strategy that applies to every trend request.
In a data definition, which applies to any trend request for the specific data set identified by the Id tag.
In an Analytic Binding, proxy extension and alert that uses a trend request.

If no missing data strategy is defined in the Analytic Binding, proxy extension or alert, the system defaults to the missing data strategy configured on the data definition for the tagged points.

If no missing data strategy is defined on the data definition for the tagged points, the system defaults to the global strategy defined on the AnalyticsService.

Missing data configuration

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