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Frequent Visitor

## Categorize/Group calculated measures in matrix based on measure-name.

Hi,

I've been trying to find a similar case as mine - but I can't find any solution so I'll give it a try:

I have a table of calculated measures - each one with their own definitions - and they look like this in my matrix today (for example):

1234 Investments | 50 000

5678 Investments | 60 000

4321 Investments | 70 000
1234 Total ending balance | 100 000
5678 Total ending balance | 150 000
4321 Total ending balance | 200 000

However, now need it to look like this:

1234         |   5678       |   4321

Investments               |   50 000      |  60 000     |  70 000

Total ending balance |   100 000   |   150 000  |   200 000

Is this there any simple way of doing this? It feels like it should.

Kind regards

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Community Support Team

## Re: Categorize/Group calculated measures in matrix based on measure-name.

Hi @murtsson ,

As we know, measure is metadata, we can't "calculate" the name of measure and choose that corresponding measure. You have to hardcode the condition to check selected "measure" name and return corresponding measure.

Community Support Team _ Frank
If this post helps, then please consider Accept it as the solution to help the others find it more quickly.
6 REPLIES 6
Regular Visitor

## Re: Categorize/Group calculated measures in matrix based on measure-name.

@murtsson I'm a bit lost - is the result of a measure the entire line? eg. "1234 Investments | 50 000"?

Frequent Visitor

## Re: Categorize/Group calculated measures in matrix based on measure-name.

Hi @JirkaZ

Sorry. "1234 Investments" is the name of the measure.
50 000 in this case is the value of the measure.

Kind regards

Regular Visitor

## Re: Categorize/Group calculated measures in matrix based on measure-name.

@murtsson Then I would suggest to fix your model as "1234" and "Investments" should  be two different dimensions.
I don't think there's a way to do what you want to do - especially since those are measures and not columns.

Highlighted
Frequent Visitor

## Re: Categorize/Group calculated measures in matrix based on measure-name.

Hi again @JirkaZ ,

That's what I feared - I knew that this would be one solution, but not preferable due to... time 🙂

Hoped that I could solve this using som DAX-magic.

Kind regards.

Community Support Team

## Re: Categorize/Group calculated measures in matrix based on measure-name.

Hi @murtsson ,

As we know, measure is metadata, we can't "calculate" the name of measure and choose that corresponding measure. You have to hardcode the condition to check selected "measure" name and return corresponding measure.

Community Support Team _ Frank
If this post helps, then please consider Accept it as the solution to help the others find it more quickly.
Visitor

## Re: Categorize/Group calculated measures in matrix based on measure-name.

Can you elaborate on your comment, "You have to hardcode the condition to check selected 'measure' name and return corresponding measure?"

I have several measures that fall into the categories Budgeted, Scheduled, Started, etc. that are calculated from three different fact tables.  The measures all basically sum values using filters based on conditions of other fields in those tables as well as  relationships from those to my one calendar table.  Here are some examples (with each a subset of the prior):

Cost: Estimate = SUM(WorkOrderInformation[Estimate])
Cost: Scheduled Finish = CALCULATE([Cost: Estimate], USERELATIONSHIP('Calendar: Financial'[Date], WorkOrderInformation[DateScheduleFinish]))
Cost: Started = CALCULATE([Cost: Scheduled Finish], WorkOrderInformation[Status] IN {"Completed", "Field Complete", "In Progress"})

The resulting matrix is readable, but could be improved upon if I could categorize these measures with this "hard coding" you mentioned on the columns.  I've done all I can with the limitations of visualization grids and outlines.  I've also tried just inserting boxes as a work-around, only to be frustrated when the columns have to resize to show the values.

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