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These filters need to work across 3 datasets, into one table visualisation
The data sets are vast so trying to merge/join on key fields leads to load times that I have never seen the end of... spinning for 72 hours +
Is there anyway to populate the table with one dataset, then create measures that will if statement the results and return corresponding answers for columns within the other two datasets
AKA
IF - Material Group = Z Material Name = M Prototype = N then Duty Category Is = ? (Dataset 2)
Hi @Anonymous
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Hi @Anonymous
Now what I don't know is, what value do you want to return by doing an if judgment on the values in three different datasets? Which dataset do you want to get the value returned by measure? What relationship is it obtained by matching?
Please add more details into these 3 datasets, then give your expected result based on the sample you provide. Thanks.
Best Regards,
Community Support Team _Tang
If this post helps, please consider Accept it as the solution to help the other members find it more quickly.
@Anonymous clear but still not fully sure. can you fake the data? I really don't care it is real or fake, but data and the expected output will help to understand the question better.
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@Anonymous can you provide some sample data and explain what you are trying to achieve.
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If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
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No Sample Data I'm afraid as classified
Let me try to explain a different way
Dataset 1 | Plant | Manu Type | Manu Plant | Territory | |
Dataset 2 | Plant | Manu Type | Manu Plant | Duty | Batchcode |
Dataset 3 | Plant | Manu Type | Country | Commodity |
With Merge & Left Join not working due to size of datasets
How can I make a table that IF statements matching keyfields that have slicers > eg. Plant A08 Selected
If Plant = A08 Dataset 1 Duty = Y Dataset 2 Country = UK Dataset 3
So it queries other datasets rather than dynamically loading it into the table en mass
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