Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Reply

DAX - IF & MATCH STATEMENT [COMPARE TWO DATASETS AND RETURN VALUE IF VALUE IS MATCHED]

Hello,

 

I need some help on clashing two sets of data, they are in different formats (see below).  What I need to do is return a value if Data Set 2 is on Date Set 1 and vice versa.

ShelleyBaynton_0-1658843153328.png

I'm very new to DAX so not sure where to look, I think it would be an IF AND MATCH statement but not sure if there is a better way to get the results I need.

 

Thanks in advance 😁

1 ACCEPTED SOLUTION

 

Cool.

So you could create a new custom column in Dataset1 called 'itemList' (or similar) which is just:

= {[From]..[To]}

Then expand this column to new rows.

 

Once you've done this, you can do a FULL OUTER merge on:

Dataset1 [ID], [itemList] = Dataset2 [ID], [From]

Expand DS2 [ID] and [From] keeping the original table name in the new column names.

 

You'll end up with a table that has complete rows where the tables match, and null values on either side where the tables don't match.

 

Hope this makes sense.

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




View solution in original post

5 REPLIES 5
BA_Pete
Super User
Super User

Hi @Shelley-Baynton ,

 

Does this have to be done in DAX, or can it be done in Power Query?

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




Hi @BA_Pete 

 

Yeah it doesn't need to be DAX it could be in Power Query 

 

Cool.

So you could create a new custom column in Dataset1 called 'itemList' (or similar) which is just:

= {[From]..[To]}

Then expand this column to new rows.

 

Once you've done this, you can do a FULL OUTER merge on:

Dataset1 [ID], [itemList] = Dataset2 [ID], [From]

Expand DS2 [ID] and [From] keeping the original table name in the new column names.

 

You'll end up with a table that has complete rows where the tables match, and null values on either side where the tables don't match.

 

Hope this makes sense.

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




Works perfectly! Thank you 😀

Okay. That makes sense. Let me give it a try and see what happens.

 

Thanks 🙂

Helpful resources

Announcements
Europe Fabric Conference

Europe’s largest Microsoft Fabric Community Conference

Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.

AugPowerBI_Carousel

Power BI Monthly Update - August 2024

Check out the August 2024 Power BI update to learn about new features.

August Carousel

Fabric Community Update - August 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors
Top Kudoed Authors