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HenryJS
Post Prodigy
Post Prodigy

DAX Code: count values across two tables

Hi all,

 

I have two tables which have the same columns.

 

How can I write the below code to return values and look up against both tables?

 

Candidate Calls = calculate(DISTINCTCOUNT('Export Actions'[CandidateRef]),'Export Actions'[ActionName] in {"Call - Check In","Call - Follow Up", "Call - Proactive Approach", "Call - Update"},'Export Actions'[ActionDate] )

 

1. Export Actions

 

Export Actions - History.PNG

 

 

2. Export Actions - History

 

Export Actions.PNG

1 ACCEPTED SOLUTION
v-shex-msft
Community Support
Community Support

HI @HenryJS ,

You can try to use the following measure formula to get distinct count from the merged table:

 

Candidate Calls =
VAR _list =
    FILTER (
        UNION (
            SELECTCOLUMNS (
                'Export Actions',
                "UserName", [UserName],
                "ActionName", [ActionName],
                "ActionDate", [ActionDate],
                "CandidateRef", [CandidateRef]
            ),
            SELECTCOLUMNS (
                'Export Actions - History',
                "UserName", [UserName],
                "ActionName", [ActionName],
                "ActionDate", [ActionDate],
                "CandidateRef", [CandidateRef]
            )
        ),
        [ActionName]
            IN {
            "Call - Check In",
            "Call - Follow Up",
            "Call - Proactive Approach",
            "Call - Update"
        }
    )
RETURN
    COUNTROWS ( SUMMARIZE ( _list, [CandidateRef] ) )

 

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.

View solution in original post

2 REPLIES 2
v-shex-msft
Community Support
Community Support

HI @HenryJS ,

You can try to use the following measure formula to get distinct count from the merged table:

 

Candidate Calls =
VAR _list =
    FILTER (
        UNION (
            SELECTCOLUMNS (
                'Export Actions',
                "UserName", [UserName],
                "ActionName", [ActionName],
                "ActionDate", [ActionDate],
                "CandidateRef", [CandidateRef]
            ),
            SELECTCOLUMNS (
                'Export Actions - History',
                "UserName", [UserName],
                "ActionName", [ActionName],
                "ActionDate", [ActionDate],
                "CandidateRef", [CandidateRef]
            )
        ),
        [ActionName]
            IN {
            "Call - Check In",
            "Call - Follow Up",
            "Call - Proactive Approach",
            "Call - Update"
        }
    )
RETURN
    COUNTROWS ( SUMMARIZE ( _list, [CandidateRef] ) )

 

Regards,

Xiaoxin Sheng

Community Support Team _ Xiaoxin
If this post helps, please consider accept as solution to help other members find it more quickly.
SteveCampbell
Memorable Member
Memorable Member

You can Union the tables in memory in the DAX. Consider using SELECTCOLUMNS if it runs slow.

Candidate Calls = 
var _uniontable = union(TableA, TableB)
RETURN
calculate(DISTINCTCOUNT(_uniontable ,'Export Actions'[ActionName] in {"Call - Check In","Call - Follow Up", "Call - Proactive Approach", "Call - Update"},'Export Actions'[ActionDate] )

 

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