Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hello,
I want to group the columns in Matrix Visual as Group A , Group B and Group C as shown below.
A, A1,B, B1, C, C1 are the measures created, so now want to have the label as shown below group A, B and C which are not the database values.
Thanks,
Raaghu
Solved! Go to Solution.
Hi @Raaghu ,
We create a sample, we can create a new table and two measures to meet your requirement.
1. Create a table like this,
Table (2) = CROSSJOIN(VALUES('Table'[Type]),{"Group A","Group B","Group C"})
2. Then we can create a matrix table using this table.
3. At last we can create two measures and add them to Values.
Measure =
SWITCH(
TRUE(),
MAX('Table (2)'[Group])="Group A",CALCULATE([Measure A],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group B",CALCULATE([Measure B],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group C",CALCULATE([Measure C],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))))
Measure 2 =
SWITCH(
TRUE(),
MAX('Table (2)'[Group])="Group A",CALCULATE([Measure A1],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group B",CALCULATE([Measure B1],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group C",CALCULATE([Measure C1],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))))
If it doesn’t meet your requirement, could you please provide a mockup sample based on fake data and describe the measures?
It will be helpful if you can show us the exact expected result based on the tables.
Please upload your files to OneDrive For Business and share the link here. Please don't contain any Confidential Information or Real data in your reply.
Best regards,
Community Support Team _ zhenbw
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
BTW, pbix as attached.
Hi @Raaghu ,
We create a sample, we can create a new table and two measures to meet your requirement.
1. Create a table like this,
Table (2) = CROSSJOIN(VALUES('Table'[Type]),{"Group A","Group B","Group C"})
2. Then we can create a matrix table using this table.
3. At last we can create two measures and add them to Values.
Measure =
SWITCH(
TRUE(),
MAX('Table (2)'[Group])="Group A",CALCULATE([Measure A],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group B",CALCULATE([Measure B],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group C",CALCULATE([Measure C],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))))
Measure 2 =
SWITCH(
TRUE(),
MAX('Table (2)'[Group])="Group A",CALCULATE([Measure A1],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group B",CALCULATE([Measure B1],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))),
MAX('Table (2)'[Group])="Group C",CALCULATE([Measure C1],FILTER('Table','Table'[Type]=MAX('Table (2)'[Type]))))
If it doesn’t meet your requirement, could you please provide a mockup sample based on fake data and describe the measures?
It will be helpful if you can show us the exact expected result based on the tables.
Please upload your files to OneDrive For Business and share the link here. Please don't contain any Confidential Information or Real data in your reply.
Best regards,
Community Support Team _ zhenbw
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
BTW, pbix as attached.
Hi,
Thanks for the response.
In my case I cannot build the relationship as you did like "Type" column.
Thanks,
@Raaghu , refer
column header grouping
https://www.daxpatterns.com/dynamic-segmentation/
https://community.powerbi.com/t5/Desktop/Matrix-Display-Values-above-Columns/td-p/256905
https://community.powerbi.com/t5/Desktop/grouping-measure-results/td-p/456795
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
113 | |
97 | |
80 | |
69 | |
59 |
User | Count |
---|---|
150 | |
119 | |
104 | |
87 | |
67 |