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HI Team
i do have this below table
| Area | Case |
| Sydney | Review |
| Sydney | Accepted |
| Melbourne | Dispute |
| Melbourne | Dispute |
| Melbourne | Review |
| Perth | Accepted |
| Perth | Review |
| Sydney | Dispute |
| Perth | Dispute |
| Melbourne | Review |
i like this way in Power Bi
| K | L | M | N | O | P | Q | R |
| Row Labels | Accepted | % completed | Dispute | % completed | Review | % completed | Grand Total |
| Melbourne | L3/R3 | 2 | N3/R3 | 2 | P3/R3 | 4 | |
| Perth | 1 | L4/R4 | 1 | N4/R4 | 1 | P4/R4 | 3 |
| Sydney | 1 | L5/R5 | 1 | N5/R5 | 1 | P5/R5 | 3 |
| Grand Total | 2 | L6/R6 | 4 | 4 | 10 |
with countx function in Power Bi measure
can anyone guide me. Heaps thansk i
Solved! Go to Solution.
@Anonymous
Based on the above sample data, what exactly do you need to count? Please provide the expected result.
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@Anonymous
Create two measures: I attached the file below my signature.
Count = COUNTROWS(Table1)Count % =
DIVIDE(
[Count],
CALCULATE(
[Count],
ALLSELECTED(Table1[Case] )
)
)
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@Anonymous
You do not need a calculation. Insert a matrix visual onto the report canvas, add the AREA to Rows section and the CASE to Column selection then insert a CASE again to the Value section and set the aggregation to COUNT
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i am counting in excel by pivot table like this
like this
@Anonymous
Create two measures: I attached the file below my signature.
Count = COUNTROWS(Table1)Count % =
DIVIDE(
[Count],
CALCULATE(
[Count],
ALLSELECTED(Table1[Case] )
)
)
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
Heaps thanks mate, all good. i got what i wanted. appriciate your help
@Anonymous
Based on the above sample data, what exactly do you need to count? Please provide the expected result.
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
HI Fowmy, thanks for replying,
I am counting how many % complted every Area by case wise. like Sydney is having 4 rows then how many % for Review, Dispute....
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
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