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Hi all, could you please take a look and help me to suggest a solution? Many thanks in advance.
This is the dataset:
| User ID | Range | Parcel Included | Rank | Quantity |
| Mary | Food | False | 2 | 1 |
| Mary | Cooking | True | 2 | 1 |
| Mary | Services | True | 2 | 2 |
| Mary | Kitchen | False | 1 | 3 |
| Tom | Kitchen | False | 2 | 2 |
| Tom | Decoration | True | 2 | 2 |
| Tom | Plants | True | 2 | 6 |
| Nina | Cooking | False | 1 | 1 |
| Nina | Plants | False | 1 | 7 |
| Nina | Bathroom | False | 2 | 2 |
| Nina | Decoration | False | 2 | 6 |
| Nina | Services | False | 2 | 8 |
| Nina | Food | False | 2 | 4 |
1. The slicer - <Parcel included> set to True;
2. Create a measure called Quantites. So the table visual should be User ID, Range and measure - Quantities;
3. We use the Mary as an example. The current measure I wrote can show Mary only with Cooking and Service since the slicer sets to True thus Food is removed. But I want to include Food in the table visual since its Rank = 2.
This is the table visual I want to be like:
| User ID | Range | Quantity |
| Mary | Food | 1 |
| Mary | Cooking | 1 |
| Mary | Services | 2 |
| Tom | Kitchen | 2 |
| Tom | Decoration | 2 |
| Tom | Plants | 6 |
@sy84 also in your output example why Nina records are not showing which has rank = 2
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Thank you for your reminder. I changed the scenario a bit and mark all rows of Nina as False in column Parcel.
@sy84 in this case you have to have disconnected table for the parcel and use that for slicer and then tweak the measure to see what Rank items to include.
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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! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
Thank you for your reply. But I want to use parcel to filter out those qualified user IDs since NOT every User having TRUE (It might some users have all rows = FALSE).
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| User | Count |
|---|---|
| 53 | |
| 47 | |
| 30 | |
| 15 | |
| 14 |
| User | Count |
|---|---|
| 88 | |
| 73 | |
| 38 | |
| 26 | |
| 25 |