Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi All, I have posted this before but haven't received any successful solutions yet.
I would be glad if someone can look into this, please. I have attached 2 datasets. (1) data to work on (2) the output.
Please find a dataset(1) here
What we like to achieve are:
1. Count of Quote_id by Group by SuperUser/Super parentID by AES OR ECOS.
i.e for SuperUSerID 1302 / Paul Marjoram has 10 Quotes For ECOS and he is part of Chapmobile.
2. Then Group them by total. Example In Chapmobile Group. 1 User have 10 Quotation for AES
I have tried to explain it datas here
3. Also is it possible to show how many SuperUsers have an entry on BOTH AES and ECOS.
i.e SuperParentid 12783/ PIERS CAPLETON has an entry on BOTH AES AND ECOS
Many thanks in advance and if you need any further info just let me know.
Solved! Go to Solution.
@Anonymous ,
You may try Unpivot Columns in Query Editor and take a look at posts below.
@Anonymous ,
You may try Unpivot Columns in Query Editor and take a look at posts below.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
105 | |
97 | |
80 | |
67 | |
63 |
User | Count |
---|---|
146 | |
110 | |
107 | |
86 | |
63 |