Hello,
How to handle following problem.
I have a dataset and I have to count how many times the answer OK apears per each REL number and then count how many times occure each value. So as a result it should be like this:
Number of occurence: | Result |
1 (one OK per REL appear 12 times) | 12 |
2 | 134 |
3 | 13 |
4 | 2 |
5 | 87 |
6 | 65 |
7 | 90 |
8 | 32 |
9 | 54 |
To make it more difficult I need to be able to filter it by Quarter.
I have done it using PQ, but was wondering if its possible to do it directly in DAX somehow.
Thank you
Max
Quarter | No | Answer |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014829 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0014879 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015227 | OK |
2023-1 | REL0015267 | OK |
2023-1 | REL0015267 | OK |
2023-1 | REL0015267 | OK |
2023-1 | REL0015267 | OK |
2023-1 | REL0015267 | OK |
2023-1 | REL0015267 | OK |
2023-1 | REL0015267 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0015422 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016272 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016464 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0016851 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017226 | OK |
2023-1 | REL0017552 | OK |
2023-1 | REL0017552 | OK |
2023-1 | REL0017552 | OK |
2023-1 | REL0017552 | OK |
2023-1 | REL0017552 | OK |
2023-1 | REL0017552 | OK |
2023-1 | REL0017552 | OK |
2023-1 | REL0017552 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014829 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0014879 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015227 | OK |
2023-2 | REL0015267 | OK |
2023-2 | REL0015267 | OK |
2023-2 | REL0015267 | OK |
2023-2 | REL0015267 | OK |
2023-2 | REL0015267 | OK |
2023-2 | REL0015267 | OK |
2023-2 | REL0015267 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0015422 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016272 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016464 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0016851 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017226 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0017552 | OK |
2023-2 | REL0012299 | OK |
2023-2 | REL0012299 | OK |
2023-2 | REL0012299 | OK |
2023-2 | REL0012299 | OK |
2023-2 | REL0012299 | OK |
2023-2 | REL0012299 | OK |
2023-2 | REL0012299 | OK |
2023-2 | REL0014088 | OK |
2023-2 | REL0014088 | OK |
2023-2 | REL0014088 | OK |
2023-2 | REL0014088 | OK |
2023-2 | REL0014088 | OK |
2023-2 | REL0014088 | OK |
Solved! Go to Solution.
HI @m4xon,
It sounds like you want to achieve two step aggregations to summary table records.
For this scenario, you can create a new table with category you want and white a measure formula with variable and SUMMARIZE function to apply the first level aggerate. Then you can extract current category value as conditions with iterator function COUNTX to summarized variable table records.
formula =
VAR currVal =
MAX ( NewTable[Value] )
VAR summary =
SUMMARIZE (
FILTER ( ALLSELECTED ( 'Table' ), [Answer] = "OK" ),
[No],
"Occur", COUNT ( 'Table'[Quarter] )
)
RETURN
COUNTX ( FILTER ( summary, [Occur] = currVal ), [No] )
Regards,
Xiaoxin Sheng
HI @m4xon,
It sounds like you want to achieve two step aggregations to summary table records.
For this scenario, you can create a new table with category you want and white a measure formula with variable and SUMMARIZE function to apply the first level aggerate. Then you can extract current category value as conditions with iterator function COUNTX to summarized variable table records.
formula =
VAR currVal =
MAX ( NewTable[Value] )
VAR summary =
SUMMARIZE (
FILTER ( ALLSELECTED ( 'Table' ), [Answer] = "OK" ),
[No],
"Occur", COUNT ( 'Table'[Quarter] )
)
RETURN
COUNTX ( FILTER ( summary, [Occur] = currVal ), [No] )
Regards,
Xiaoxin Sheng
Amazing, thank you! I have only removed ALLSELECTED to be able to filter based on [Quarter] on charts.