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

Join us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.

Reply
zoveress
Regular Visitor

Calculating number of non unique values

Hello,

 

I am being puzzled with a solution here. I have a table with 2 columns, one of them shows the date when the date snapshot was taken the other shows a process if it was running:

 

dax001.png

 

If all 3 processes are running at the same time we can say that the application is 100% available, if only 2 or 1 processes running we can say that the application is not available. I would like to see an output like this:

 

9/12/2017 1:13:00 PM | 3

9/12/2017 1:14:00 PM | 3

9/12/2017 1:15:00 PM | 3

9/12/2017 1:16:00 PM | 1

9/12/2017 1:17:00 PM | 1

9/12/2017 1:16:00 PM | 1

9/12/2017 1:18:00 PM | 1

 

Any help would be greatly appreciated.

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @zoveress,

 

Based on your description, I think summarize function will suitable for your requirement.
Use the data column as the group column, then summary stats column by distinct count function.

 

Table formula:

Summary table= SUMMARIZE('Table','Table'[DateTime],"Distinct",DISTINCTCOUNT('Table'[Status]))

 

Regards,

Xiaoxin Sheng

View solution in original post

7 REPLIES 7
Greg_Deckler
Super User
Super User

You want DISTINCTCOUNT: https://msdn.microsoft.com/en-us/library/gg492142.aspx



Follow on LinkedIn
@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
Power BI Cookbook Third Edition (Color)

DAX is easy, CALCULATE makes DAX hard...

I got that far myself I just do not know how to group the counts by date?

Just create a table visualization and put your date and your measure in it. It will group automagically. Or, you could use SUMMARIZE to create a new table.



Follow on LinkedIn
@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
Power BI Cookbook Third Edition (Color)

DAX is easy, CALCULATE makes DAX hard...

I actually have 1470 unique dates. I need all of them grouped. I need a new table with the 1470 unique dates and the number of processes active at that time next to them. By the way I am new to this so any help code-wise would be appreciated. Like this:

 

9/12/2017 1:13:00 PM | 3

9/12/2017 1:14:00 PM | 3

9/12/2017 1:15:00 PM | 3

9/12/2017 1:16:00 PM | 1

9/12/2017 1:17:00 PM | 1

9/12/2017 1:16:00 PM | 1

9/12/2017 1:18:00 PM | 1

...... 1470

 

In SQL you would use count and groupby but what is the syntax for DAX?

 

 

Anonymous
Not applicable

Hi @zoveress,

 

Based on your description, I think summarize function will suitable for your requirement.
Use the data column as the group column, then summary stats column by distinct count function.

 

Table formula:

Summary table= SUMMARIZE('Table','Table'[DateTime],"Distinct",DISTINCTCOUNT('Table'[Status]))

 

Regards,

Xiaoxin Sheng

Many thanks for the answer we are half way there. Now it creates a list of dates but doesn't count the processes correctly. It counts 3 even if only one process was running at that time. Any ideas? 🙂

 

halfwaydone.png

Oh sorry my bad I used a different table for the second value, it works now with the following formula:

 

done_deal_formula.png

 

Summary table =  SUMMARIZE('CALC_CaptureDateList','CALC_CaptureDateList'[Date],"Distinct",DISTINCTCOUNT(CALC_CaptureDateList[Process]))

 

Many thanks for the help!

 

 

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.

June 2025 Power BI Update Carousel

Power BI Monthly Update - June 2025

Check out the June 2025 Power BI update to learn about new features.

June 2025 community update carousel

Fabric Community Update - June 2025

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