Sum based on filter

[unnijoy]

I have a survay data. I need to find the positive %. So in the Positive column we will be counting the total 1. and that count should be divided by total distinct dount of ID. and for 2021 i have to use the FILTER

now the formula is Positive%= calculate(count (Positive)/distinct count(ID),filter (Year =2021).

Now the ussue is that if ant of the employee if his positive is coming as 0 then their ID is not counting. I need the distinct count of all ID irresoective of Positive 1 0r 0. how can i do that. below is the sample.

ID	Name	Attri	Positive	Negative	year
12	James	Helath	1	1	2021
12	James	Pay	0	2	2021
12	James	Transport	1	1	2021
13	Rex	Helath	0	2	2021
13	Rex	Pay	1	1	2021
13	Rex	Transport	0	2	2021
14	Sam	Helath	0	1	2021
14	Sam	Pay	0	2	2021
14	Sam	Transport	0	3	2021
12	James	Helath	0	1	2020
12	James	Pay	0	2	2020
12	James	Transport	0	1	2020
13	Rex	Helath	0	2	2020
13	Rex	Pay	1	1	2020
13	Rex	Transport	0	2	2020
14	Sam	Helath	0	1	2020
14	Sam	Pay	0	2	2020
14	Sam	Transport	0	3	2020

[Greg_Deckler]

@unnijoy Seems like:

COUNTROWS(DISTINCT(SELECTCOLUMNS(FILTER('Table',[year]=2021),"ID",[ID])))

[unnijoy]

hi @Greg_Deckler ,

thanks for the qucik reply. can i need the filter in over all. Like  = count (positive)/dist(ID),filter 2021. How can i achive this

[unnijoy]

hi @Greg_Deckler ,  as per the above table the expected result is as follows.

positive = 2

total dist count of id = 3. as u can see that the for the third guy positive is coming as 0 but still we need to count him.

Positive % = 2/3= 67 %

[Greg_Deckler · Accepted solution]

Measure =
  VAR __Table = FILTER('Table',[year]=2021)
  VAR __Denominator = COUNTROWS(DISTINCT(SELECTCOLUMNS(__Table,"ID",[ID])))
  VAR __Numerator = COUNTROWS(DISTINCT(SELECTCOLUMNS(FILTER(__Table,[Positive]=1),"ID",[ID])))
RETURN
  DIVIDE(__Numerator,__Denominator,0)

@unnijoy Try: