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

Data Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more

Reply
chavanr
Resolver I
Resolver I

Calculate Distinct values

Hi there,

 

Just wondering if someone can help with the below:

 

I want to calculate distinct value for my measure

 

Serious Incident Total =

CALCULATE(
[Total Incidents] - [Total Not Serious Incidents],
FILTER(Forms,NOT(ISBLANK(Forms[Category])))
)

 

Total Not Serious Incidents =
CALCULATE(
DISTINCTCOUNT(Forms[itrak_formid]),
FILTER(Forms,Forms[Category]= "Not Serious")
)

 

 

Total Incidents =
CALCULATE(
DISTINCTCOUNT(Forms[itrak_formid]),
FILTER('Forms',Forms[Form Type] = "Incident & Investigation")
)
1 ACCEPTED SOLUTION
rbriga
Impactful Individual
Impactful Individual

This should get you the result you wanted- worked for my test:

Serious Incident Total =
VAR _Incidents = CALCULATETABLE(
    DISTINCT( Forms[itrak_formid] ),
    Forms[Form Type] = "Incident & Investigation"
) 
VAR _NotSerious = CALCULATETABLE(
    DISTINCT( Forms[itrak_formid] ),
    Forms[Category] = "Not Serious"
) 

RETURN
COUNTROWS(
    EXCEPT( _Incidents, _NotSerious )
)

We create a table of distinct incidents (_Incidents), a table of distinct not serious forms (_NotSerious),

Remove IDs that appear in _NotSerious from _Incidents,

And count the rows on the resulting table.

-------------------------
Data analyst by day, hockey goalie by night.
Did I help? Then please hit that "kudos" or "accept as a solution" button!

View solution in original post

3 REPLIES 3
rbriga
Impactful Individual
Impactful Individual

This should get you the result you wanted- worked for my test:

Serious Incident Total =
VAR _Incidents = CALCULATETABLE(
    DISTINCT( Forms[itrak_formid] ),
    Forms[Form Type] = "Incident & Investigation"
) 
VAR _NotSerious = CALCULATETABLE(
    DISTINCT( Forms[itrak_formid] ),
    Forms[Category] = "Not Serious"
) 

RETURN
COUNTROWS(
    EXCEPT( _Incidents, _NotSerious )
)

We create a table of distinct incidents (_Incidents), a table of distinct not serious forms (_NotSerious),

Remove IDs that appear in _NotSerious from _Incidents,

And count the rows on the resulting table.

-------------------------
Data analyst by day, hockey goalie by night.
Did I help? Then please hit that "kudos" or "accept as a solution" button!
v-angzheng-msft
Community Support
Community Support

Hi, @chavanr 

 

Could you please consider sharing more details about it and posting expected result so it is clear on what needs to be implemented?  And It would be great if there is a sample file without any sesentive information here.

 

It makes it easier to give you a solution.

  1. Sample (dummy dataset) data as text, use the table tool in the editing bar
  2. Expected output from sample data
  3. Explanation in words of how to get from 1. to 2.

 

Best Regards,
Community Support Team _ Zeon Zheng


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

amitchandak
Super User
Super User

@chavanr , if want distinct values a measure first you need to get a grouping for that

 

like

 

measure =

var _tab = summarize(Forms,Forms[Column], "_1",[Total Incidents ])

return

countx(values(_tab[_1],[_1])

 

 

measure =

var _tab = summarize(Forms,Forms[Column], "_1",[Total Incidents ])

return

countx(summarize(_tab, _tab[_1],[_1])

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

Helpful resources

Announcements
Fabric Data Days is here Carousel

Fabric Data Days 2026

Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.

May Power BI Update Carousel

Power BI Monthly Update - May 2026

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

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.