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Is it possible to train the quick insight algorighms to highlight the most relevant relationships?
In essence, our data set will feature a list of individual units. These units have a status that is passed or failed, and then a wide range of other meta-parameters based on their origin. That can be geo-location, machine used, operators, dates, sub-units, "member-of" categories and more.
We want the algo to primarily show data-relationships that contributes to a high percentage of status Failed.
Hi @Anonymous ,
If I don't misunderstand, you want to use Quick Insight to show the most important factors that cause "Failed".
Based on my knowledge, Power BI doesn't support it now. You can create a new idea here.
Best Regards,
Icey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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