Utility of Data Validation Importance

Hi Robert,
You cannot filter in the report view, but if you download into Excel or CSV, you can filter.
The Importance field: You may want to mark some validation rules as HIGH when they reveal a serious problem with data quality. An example is reporting more deliveries than births. Every delivery must have a birth outcome. Malaria tested positive more than malaria tested is another good example of data that is wrong and will affect indicators etc. The use of Medium and Low can be applied to checking more ‘grey’ areas. ANC tested for HIV should be equal to ANC1st visit, but we know that in some cases a pregnant woman is only tested at her 2nd or 3rd visit - maybe there was no test kit, or the woman need time to think. I am not sure if this completely answers your question, but hope this helps you

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