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simpletech_data
Regular Visitor

Matrix with several measures grouped by topic

Hello guys! I would like if it is possible and how is the best way to create the following matrix in Power BI.

 

matrix example.png

 

Each row represents a topic:
1st row - revenue related measures

2nd row - investment related measures

3rd row - profit related measures

and it goes on...

 

And for each row, there is 5 columns to calculate these topics in different ways. For exemple:
For revenue:
- The actual day revenue
- The average from last 7 days

- MTD revenue

- Monthly goal

- Difference between MTD and goal

 

This repeats for every row.

 

I tried to use the matrix visual but I couldn't find the settings to transform it like the picture.

1 ACCEPTED SOLUTION
v-kongfanf-msft
Community Support
Community Support

Hi @simpletech_data ,

 

You can use the following formula in matrix to fill in the result of 1, 2 and so on with the result you want to calculate.

diff_ =
IF (
    ISFILTERED ( 'Table'[Attribute] )
        && MAX ( 'Table'[Attribute] ) = "Difference",
    1,
    IF (
        ISFILTERED ( 'Table'[Attribute] )
            && MAX ( 'Table'[Attribute] ) = "Goal",
        2,
        0
    )
)

 

vkongfanfmsft_0-1719305005245.png

Best Regards,
Adamk Kong

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

1 REPLY 1
v-kongfanf-msft
Community Support
Community Support

Hi @simpletech_data ,

 

You can use the following formula in matrix to fill in the result of 1, 2 and so on with the result you want to calculate.

diff_ =
IF (
    ISFILTERED ( 'Table'[Attribute] )
        && MAX ( 'Table'[Attribute] ) = "Difference",
    1,
    IF (
        ISFILTERED ( 'Table'[Attribute] )
            && MAX ( 'Table'[Attribute] ) = "Goal",
        2,
        0
    )
)

 

vkongfanfmsft_0-1719305005245.png

Best Regards,
Adamk Kong

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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