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The figure below shows original 15 minute data and the aggregated hourly data using the accumulative function:
h5
Validation rules
The concept of the validation rules was introduced as a solution for a common problem in operational situations when using aggregation transformations. When for example a yearly average was computed a single missing value in the input values would cause that the yearly average was also a missing value.
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This prevents that a single missing value in the input will lead to a missing value in the aggregated output value.
Below the configuration of the basic example which was described above.
| Code Block |
|---|
<validationRule>
<inputMissingPercentage>10</inputMissingPercentage>
<outputValueFlag>reliable</outputValueFlag>
</validationRule>
<validationRule>
<inputMissingPercentage>100</inputMissingPercentage>
<outputValueFlag>missing</outputValueFlag>
</validationRule> |
The concept of the validation rules will be explained below by an example.
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