The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Maybe a noob question.
I have a table like the one below
Sales document Block
1 A
1 B
1 A
2 A
2 B
3 B
I need to add a column that flags all rows of that sales document that contain block A.
Sales document Block Contain block A?
1 A Yes
1 B Yes
1 A Yes
2 A Yes
2 B Yes
3 B
Thanks in advance
Solved! Go to Solution.
Hi @raulogv ,
You can try this calculated column:
CalcColumn =
VAR _curSalesDoc = 'Table'[Sales Document]
VAR _rowsWithA = FILTER('Table', 'Table'[Sales Document] = _curSalesDoc && 'Table'[Block] = "A")
RETURN
IF(COUNTROWS(_rowsWithA) > 0, "Yes")
Result is this:
Let me know if this works for you 🙂
Kind regards
Djerro123
-------------------------------
If this answered your question, please mark it as the Solution. This also helps others to find what they are looking for.
Keep those thumbs up coming! 🙂
Proud to be a Super User!
Hi @raulogv ,
You can try this calculated column:
CalcColumn =
VAR _curSalesDoc = 'Table'[Sales Document]
VAR _rowsWithA = FILTER('Table', 'Table'[Sales Document] = _curSalesDoc && 'Table'[Block] = "A")
RETURN
IF(COUNTROWS(_rowsWithA) > 0, "Yes")
Result is this:
Let me know if this works for you 🙂
Kind regards
Djerro123
-------------------------------
If this answered your question, please mark it as the Solution. This also helps others to find what they are looking for.
Keep those thumbs up coming! 🙂
Proud to be a Super User!
It worked, thank you so much
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
119 | |
86 | |
75 | |
55 | |
44 |
User | Count |
---|---|
136 | |
128 | |
78 | |
64 | |
63 |