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
Anonymous
Not applicable

Combine multiple DISTINCT statements to get the MIN value

Hello everyone,

I'm new to the world of Power BI and I need your help.

My goal is to find the lowest value ('Price') filtered by a combination of two columns ('Product_ID' and 'Month Number'). Take this table as an example:

 

Total Sales Table:

Contract_IDProduct_IDMonth_NumberPrice 
01100112,34
02100112,22
03100112,45
04100122,19
05100122,37
06200225,69
07200225,14
And so on.........

 

That is what I want to achive:

Contract_IDProduct_IDMonth_NumberPrice 

Best_Price per
Product and Month

01100112,342,22
02100112,222,22
03100112,452,22
04100122,192,19
05100122,372,19
06200225,695,14
07200225,145,14
And so on............

 

This is what I had tried, but it didn't work:

Best_Price per Product and Month =
CALCULATE(
MINX(Total_Sales, Total_Sales[Price]),
DISTINCT(Total_Sales[Product_ID]),
DISTINCT(Total_Sales[Month_Number]
)

 

Any sugesstions / ideas how to solve that issue? 

You would help me a lot! Thanks in advance 🙏

 

Best,

Felix

 

1 ACCEPTED SOLUTION
edhans
Super User
Super User

See if this works for you:

Best Price = 
    CALCULATE(
        MIN('Table'[Price ]),
        REMOVEFILTERS('Table'[Contract_ID], 'Table'[Price ])
    )

edhans_0-1624644657991.png
Because Month is a number and the way you have your data @Anonymous , you ned to make sure that the column is not summarized or the results will not be correct. 

edhans_1-1624644777983.png

 

 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting

View solution in original post

5 REPLIES 5
edhans
Super User
Super User

See if this works for you:

Best Price = 
    CALCULATE(
        MIN('Table'[Price ]),
        REMOVEFILTERS('Table'[Contract_ID], 'Table'[Price ])
    )

edhans_0-1624644657991.png
Because Month is a number and the way you have your data @Anonymous , you ned to make sure that the column is not summarized or the results will not be correct. 

edhans_1-1624644777983.png

 

 



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting
Anonymous
Not applicable

Thanks for your help! (Sry for the late reply, I was on vacation.)

 

I testet your solution on a small "testing data set" and it worked completly fine, but not on my "real" data set I'm working on.

 

Could you explain why you've selected the column 'Contract ID' for the REMOVEFILTERS function?

 

Best,

Felix

Hi @Anonymous  - sorry just getting back to you. Missed the notification.

I didn't want the filter context from the table visual that was passing the current contract ID to affect the measure, so I removed that filter. The measure looks at all contract IDs to get the results. It keeps the filters though for the month ID and product.



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting
Anonymous
Not applicable

This explanation was super helpful!

I used the function ALLEXCEPT to solve my problem, but without you I would not have figured it out. Thanks! 💛

Great @Anonymous !

Yup - ALLEXCEPT, REMOVEFILTERS, ALL, etc. within CALCULATE are different ways of doing the same thing depending on the circumstances. ALLEXCEPT can be more efficient depending on how many fields you have to remove the filters on.



Did I answer your question? Mark my post as a solution!
Did my answers help arrive at a solution? Give it a kudos by clicking the Thumbs Up!

DAX is for Analysis. Power Query is for Data Modeling


Proud to be a Super User!

MCSA: BI Reporting

Helpful resources

Announcements
July 2024 Power BI Update

Power BI Monthly Update - July 2024

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

PBI_Carousel_NL_June

Fabric Community Update - June 2024

Get the latest Fabric updates from Build 2024, key Skills Challenge voucher deadlines, top blogs, forum posts, and product ideas.