Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi,
I have a table contains ID, Week, Label
Type | Week | Label |
A | W1 | Y |
A | W1 | Y |
B | W1 | Y |
B | W2 | Y |
B | W2 | N |
C | W2 | N |
B | W3 | Y |
C | W3 | Y |
I want to use this table to create a matrix visual, which value is cumulative number of count of ID every week when Label = "Y".
So every week's value is the total of Labels = "Y" before that week, and I want it can show different color by different Type.
How can I do that? Any answer will be helpful!!
Solved! Go to Solution.
Hi @Anonymous
Thanks for the reply from @bhanu_gautam .
Here is the testing I did, hope it helps.
Create two measures as follow
count yes = CALCULATE(COUNTROWS('Table'), 'Table'[Label] = "Y")
cumulative = CALCULATE([count yes], FILTER(ALLSELECTED('Table'[Week]), 'Table'[Week] <= MAX('Table'[Week])))
Since I noticed that your title mentioned stacked column chart, but your text mentioned matrix visual, I did both.
stacked column chart:
matrix visual:
If you need to display different types and colors in the matrix, you need to make the following settings.
conditional formatting -> Background color
Best Regards,
Yulia Xu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous
Thanks for the reply from @bhanu_gautam .
Here is the testing I did, hope it helps.
Create two measures as follow
count yes = CALCULATE(COUNTROWS('Table'), 'Table'[Label] = "Y")
cumulative = CALCULATE([count yes], FILTER(ALLSELECTED('Table'[Week]), 'Table'[Week] <= MAX('Table'[Week])))
Since I noticed that your title mentioned stacked column chart, but your text mentioned matrix visual, I did both.
stacked column chart:
matrix visual:
If you need to display different types and colors in the matrix, you need to make the following settings.
conditional formatting -> Background color
Best Regards,
Yulia Xu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@Anonymous , You can create a calculated column for this
CumulativeCount =
CALCULATE(
COUNTROWS('YourTable'),
FILTER(
ALL('YourTable'),
'YourTable'[Label] = "Y" &&
'YourTable'[Week] <= EARLIER('YourTable'[Week]) &&
'YourTable'[Type] = EARLIER('YourTable'[Type])
)
)
Proud to be a Super User! |
|
@bhanu_gautam Hi! Thank you for the quick reply.
I have tried your answer, but some parts shows warning:
'YourTable'[Week] <= EARLIER('YourTable'[Week]) &&
'YourTable'[Type] = EARLIER('YourTable'[Type])
Warning says: EARLIER/EARLIEST refers to an earlier row context which doesn't exist.
Could you please help me to fix it? Thanks a lot!!
@Anonymous , Update measure
CumulativeCount =
VAR CurrentWeek = 'YourTable'[Week]
VAR CurrentType = 'YourTable'[Type]
RETURN
CALCULATE(
COUNTROWS('YourTable'),
FILTER(
ALL('YourTable'),
'YourTable'[Label] = "Y" &&
'YourTable'[Week] <= CurrentWeek &&
'YourTable'[Type] = CurrentType
)
)
Proud to be a Super User! |
|
@bhanu_gautam Hi,
It's still not working.
If I delete the following dax, it can work but not the result I want.
'YourTable'[Week] <= CurrentWeek &&
'YourTable'[Type] = CurrentType
Check out the September 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
116 | |
101 | |
88 | |
35 | |
35 |
User | Count |
---|---|
152 | |
100 | |
83 | |
63 | |
54 |