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I have created a map that sums membership counts by state.
Fine. Nice bubbles sized by aggregate summary count.
Task: I have created a numeric 'between' slicer/slider to filter results down to only those states with a membership count between x and y.
Problem: The slicer/slider is being created at the detail row level (0 or 1 count for each row) rather than the aggregate summary count per state level as shown in its related bubble map visual.
Question: Can I create a slider control based upon the aggregate summary state count (ex. 1,234 for Texas) rather than the detail row count (1)?
Thanks for the interest.
Simply put, the below table shows some example source data. Each row has a 0 or 1 for Membership_Count.
The visual above's bubble amounts show the summation of Membership_Count (e.g. 2 for CT, 5 for CA, 7 for TX, 4 for FL, 5 for MI, 0 for LA and NC). This is correct.
The slider shows only 0 to 1, representing Membership_Count on each detail record. This is incorrect.
I'd like the slider to represent State_Province totals from the smallest (e.g. 0 for LA and NC) to largest (e.g. 7 for TX).
Outside of pre-populating the source data with the totals on each row is there a way for PowerBI to do with the slider what it did for the bubbles - sum the total by State_Province.
Member_Number | Membership_Count | State_Province |
123456 | 1 | CT |
123457 | 1 | CT |
123458 | 1 | CA |
123459 | 1 | CA |
123460 | 1 | CA |
123461 | 1 | CA |
123462 | 1 | CA |
123463 | 0 | NC |
123464 | 1 | TX |
123465 | 1 | TX |
123466 | 1 | TX |
123467 | 1 | TX |
123468 | 1 | TX |
123469 | 1 | TX |
123470 | 1 | TX |
123471 | 1 | FL |
123472 | 1 | FL |
123473 | 1 | FL |
123474 | 1 | FL |
123475 | 0 | LA |
123476 | 1 | MI |
123477 | 1 | MI |
123478 | 1 | MI |
123479 | 1 | MI |
123480 | 1 | MI |
Hi @Anonymous ,
Could you please provide some sample data and your desired output? I cannot understand your meaning correctly. you can create simple data with excel, then show me the screenshots about the data and the desired output your want.
Best regards.