Forum Discussion
Relationship status impacting data visualization?
- 6 years ago
As I suspected the solution came down to my improper use of the Relations between entities. I spent some more time familiarizing myself with DAX. Specifically the USERELATIONSHIP function and managed to bypass the troublesome active relationship and specify a sales volume with a brand.
Sorry for the confusing nature of my previous replies. I am still very new to this. I appreciate all the attempts to help clarify.
Total Volume (Filtered) = CALCULATE(SUM(volume1]), USERELATIONSHIP(brandid],brand1]))
+ CALCULATE(SUM(volume2]), USERELATIONSHIP(brandid],brand2]))
+ CALCULATE(SUM(volume3]), USERELATIONSHIP(brandid],brand3]))
+ CALCULATE(SUM(volume4]), USERELATIONSHIP(brandid],brand4]))
To clarify, the data table in Power BI looks like this
Cust. | Brand 1 | Brand 2 | Brand 3 | Brand 4 | Brand 1 Size | Brand 2 Size | Brand 3 Size | Brand 4 Size | Brand 1 Count | Brand 2 Count | Brand 3 Count | Brand 4 Count |
Customer A ID | A | B | C | A | A | A | B | B | 10 | 2 | 10 | 10
|
Customer B ID | D | A | B | null | A | A | B | null | 5 | 10 | 5 | null |
- amitchandak6 years agoSuper User
mrbrewmaster , is your data is in the format you have mentioned in the first post and you want data like your second post ??
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
- mrbrewmaster6 years agoRegular Visitor
amitchandakMy data looks like in my second post. Here is a table grab from my test.
distributionid size1count size1volume size2count size2volume size3count size3volume size4count size4volume invoice_name pickupdatetime distribution_account brand1 brand2 brand3 brand4 size1 size2 size3 size4 bd79c36c-66b5-ea11-a812-000d3a8a4934 1 0.5 2 0.32 2 1 2 1 TEST-06-23-20-1000 6/26/2020 17:00 c8f7cfe0-65b5-ea11-a812-000d3a8a4934 e0faa3ac-f299-ea11-a811-000d3a8a4934 e0faa3ac-f299-ea11-a811-000d3a8a4934 ada2a2e8-09a1-ea11-a812-000d3a8a4934 57e48445-85b2-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 9d35d35b-0fa1-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 fb63c6ef-c3b5-ea11-a812-000d3a8a4934 1 0.5 1 0.5 TEST-06-24-20-1004 7/10/2020 15:00 fc78dc14-2e9a-ea11-a811-000d3a8a4934 4258c728-f399-ea11-a811-000d3a8a4934 ee10d0d0-88b2-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 e1372cc3-c3b5-ea11-a812-000d3a8a4934 3 1.5 2 1 TEST-06-24-20-1003 8/3/2020 15:00 fc78dc14-2e9a-ea11-a811-000d3a8a4934 53cda586-9768-ea11-a811-000d3a8a4934 1838cc6e-f099-ea11-a811-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 11620893-c3b5-ea11-a812-000d3a8a4934 1 0.16 TEST-06-24-20-1002 8/5/2020 17:00 c8f7cfe0-65b5-ea11-a812-000d3a8a4934 4258c728-f399-ea11-a811-000d3a8a4934 9d35d35b-0fa1-ea11-a812-000d3a8a4934 16dc4bc9-c2b5-ea11-a812-000d3a8a4934 10 5 5 0.8 2 1 8 1.28 TEST-06-24-20-1001 7/1/2020 17:00 c8f7cfe0-65b5-ea11-a812-000d3a8a4934 64c19bbc-f299-ea11-a811-000d3a8a4934 ee10d0d0-88b2-ea11-a812-000d3a8a4934 ada2a2e8-09a1-ea11-a812-000d3a8a4934 7b55a5fd-09a1-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 9d35d35b-0fa1-ea11-a812-000d3a8a4934 e7d7c02a-0fa1-ea11-a812-000d3a8a4934 9d35d35b-0fa1-ea11-a812-000d3a8a4934