,

The Superheroes of DAX, and derived measures

“Did someone say DAX?”

I wanted to start today’s post with a quick thank-you to the guys who tirelessly answer my DAX questions.

Marius Dumitru, Howie Dickerman, and Karen Aleksanyan.  You guys rock.  Thanks again for your patience educating me.  I’ll do my best to pay it back by sharing knowledge here.

(There’s no resemblance in real life to these three pictured above.  Well, except perhaps for Mr. Furious.  But it’s just an awesome movie and had three superheroes, which is rare – superheroes tend to be packaged in even-numbered groups.)

Today’s Tip:  Deriving measures from others

Today’s tip is a short lesson but boy is it helpful. 

Let’s say you have a fairly sophisticated measure like the “Number of unique products sold at number of stores” measure that I demonstrated the other day using SUMX().  And now you want a new version of that measure that only counts a specific type of product, as opposed to all products.

Copy/Paste the original measure formula?

Do you copy/paste the formula for the original measure into a new measure to make your edits?  I recommend against it, for two reasons:

  1. You are now nesting an additional level of logic inside an already sophisticated formula – this makes things less readable and harder to debug (especially since v1 PowerPivot does not let you “trace into” a formula step by step.
  2. Maintenance-wise this is a hassle going forward.  If you ever change the base measure, you need to change all copies of it as well.  Tedious.  And it’s even worse if you forget to change one of the copies.

Better answer:  use FILTER() against the original measure

You can avoid both of those problems with the following syntax:

    [New Measure] = [Original Measure] (<Table Expression>)

The simplest example of a table expression is to use the FILTER() function.  Let’s say we want our original measure, but only to count transaction of product type = fruit:

    [New Measure] = [Original Measure] (
                      FILTER(DataTable[ProductType]=”Fruit”)
                    )

Try it out!

Trust me, it works 🙂  And you will love it 🙂

Other flavors

I’m pretty sure that any expression which returns a table is valid as the <Table Expression>. 

EX:  I used CALCULATETABLE and it also works great.  CALCULATETABLE is like FILTER but allows for any number of filter params, whereas FILTER only gives you one.

    [New Measure] = [Original Measure] (
                     CALCULATETABLE(
                      DataTable[ProductType]=”Fruit”,
                      DataTable[Weekend]=”True”
                      )
                     )

Have fun everybody.  Catch you next week.

Read more on our blog

Get in touch with a P3 team member

  • This field is hidden when viewing the form
  • This field is hidden when viewing the form
  • This field is for validation purposes and should be left unchanged.

This field is for validation purposes and should be left unchanged.

Related Content

Data Analytics Made Easy: Download Our Power BI DAX Reference Card

Let’s be honest, working with DAX can sometimes feel like a puzzle,

Read the Blog

Exciting Improvements to Power BI’s Export to Excel

It is a standing joke in the analytics industry that “Export to

Read the Blog

The case of the disappearing Field Parameters: SOLVED

The Case: The new Field Parameters feature from Microsoft had been added

Read the Blog

Completing the Set Up: Field Parameters Using Tabular Editor

May 2022’s release of Power BI Desktop is the best releases we’ve

Read the Blog