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Hi all
How could I get a dax measure like the one below I did in excel?
Here is the table:
| Topic | Impact | % |
| ABC | High | 75.00% |
| ABC | High | 75.00% |
| ABC | High | 75.00% |
| ABC | Medium | 25.00% |
| Test | Low | 25.00% |
| Test | High | 25.00% |
| Test | Medium | 50.00% |
| Test | Medium | 50.00% |
I tried something like this but it's not working
Count Ifs =
DIVIDE(
CALCULATE(
COUNTROWS('Heatmap'),
FILTER(
'Heatmap',
'Heatmap'[Risk] = EARLIER('Heatmap'[Risk]) && 'Heatmap'[Risk] = EARLIER('Heatmap'[Risk])
)
),
CALCULATE(
COUNTROWS('Heatmap'),
FILTER(
'Heatmap',
'Heatmap'[Risk] = EARLIER(Heatmap'[Risk])
)
)
)
Please click on the image to see bigger.
Thanks.
PCT =
CALCULATE( COUNTROWS( Data ) )
/ CALCULATE( COUNTROWS( Data ), ALLEXCEPT( Data, Data[Topic] ) )
Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
Hi @ThxAlot
I used the dax in the real dataset and got 25% each:
What should happen is: 50%, 25%, 25%, 50%
50% meaning 2 rows out of 4 rows are High
1 out of 4 rows is low
1 out of 4 rows is blank
How can I fix it?
Thanks.
Hi,
Please check the below picture and the attached pbix file.
It is for creating a new column.
Expected result CC =
VAR _topic =
COUNTROWS ( FILTER ( Data, Data[Topic] = EARLIER ( Data[Topic] ) ) )
VAR _impact =
COUNTROWS (
FILTER (
Data,
Data[Topic] = EARLIER ( Data[Topic] )
&& Data[Impact] = EARLIER ( Data[Impact] )
)
)
RETURN
DIVIDE ( _impact, _topic )
Hi,
is this written for a measure or a calculated column?
My sample solution is, as mentioned above, for calculated column.
Thanks.
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