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Anonymous
Not applicable

Trying to compare 2 columns from different tables

I've got two table, 'verzuimmelding' and 'verzuim' that are connected to a central date table but not to eachother.

In these tables I have date columns that I need to compare to eachother so that I can check if the right date was used for when somebody calls in sick.

 

But no matter what I try I can't seem to get it to work, closest I came is;

 

IF(LOOKUPVALUE(Verzuimmelding[Begindatum_-tijd],Verzuimmelding[Begindatum_-tijd],Verzuim[Datum]), "Yes", "No")
 
but that doesn't show the right dates.
1 ACCEPTED SOLUTION
Mahesh0016
Super User
Super User

= IF( LOOKUPVALUE('Sales Order'[Channel],'Sales Order'[SalesOrderLineKey],[SalesOrderLineKey]),"Yes""No")

Note : First Colum should be result column which you want, second and Third Column is related each other . try one more time this way i hope its helps.


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

View solution in original post

2 REPLIES 2
v-jianboli-msft
Community Support
Community Support

Hi @Anonymous ,

 

Could you tell me if your problem has been solved? If it is, kindly Accept it as the solution. More people will benefit from it. Or if you are still confused about it, please provide me with more details about your table and your problem or share me with your pbix file after removing sensitive data.

 

Refer to:

How to provide sample data in the Power BI Forum

How to Get Your Question Answered Quickly

 

Best Regards,

Jianbo Li

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

Mahesh0016
Super User
Super User

= IF( LOOKUPVALUE('Sales Order'[Channel],'Sales Order'[SalesOrderLineKey],[SalesOrderLineKey]),"Yes""No")

Note : First Colum should be result column which you want, second and Third Column is related each other . try one more time this way i hope its helps.


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

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