Filter the same table two times with item slicer

[Anonymous]

Hi community,

I have two tables

People table:

People name	People id
Amy	001
Peter	002
Paul	003

Poject table:

People ID	project ID
001	XX
001	YY
001	ZZ
002	XX
002	YY
003	ZZ
004	ZZ
004	QQ

I connected two tables with one to many relationship by People ID.

My task is that once the people name is selected in the slicer, I need to calculate number of people participate in the same project.

For example, If I select Amy in the slicer, Amy participated in Project XX, YY and ZZ, and I see people ID 002, 003, 004 also participated in the projects that Amy has participated in, so the total number of people partcipated in Amy's project are 4 (001, 002, 003, 004).

I tried to extract the list of project that Amy has partcipanted in with below measure

Number of related project = 
var selectedPeople = SELECTEDVALUE(People[People Name])
return
    calculate(
        distinctcount(project[project ID]),
        People[People Name] = selectedPeople 
    )

This measure only count the number of projects Amy has partcipating.

The question is how to distinct count the number of people who share the same project with selected people in slicer?

[amitchandak]

@Anonymous , In sunc case prefer to use an independent people table

Number of related project =
var _tab = summzarize(filter(project, project[People ID] in SELECTEDVALUE(People[People ID])), [Project ID]
return
calculate(
distinctcount(project[project ID]),filter( project, project[Project ID] in _tab))

or when joined

Number of related project =
var _tab = summzarize(filter(project, project[People ID] in SELECTEDVALUE(People[People ID])), [Project ID]
return
calculate(
distinctcount(project[project ID]),filter( project, project[Project ID] in _tab), removefilter(People) )

[Anonymous]

Hi @amitchandak,

Thanks for replying. Could you explain more on two measures you provide?

I tried to create those measure, but there are syntax error in the var _tab.