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

Join the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now

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
April Power BI Update Carousel

Power BI Monthly Update - April 2026

Check out the April 2026 Power BI update to learn about new features.

New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.

FabCon and SQLCon Highlights Carousel

FabCon &SQLCon Highlights

Experience the highlights from FabCon & SQLCon, available live and on-demand starting April 14th.