How to Build Measure to extract distinct rows from a table based on multiple possible criteria

[PantherusNZ]

I have a table of support ticket items displaying tickets assigned to various support teams, as well as line items if they've been transferred to or from teams - so there are duplicated line items throughout the data.  I need to report on how many tickets were managed by a number of teams through the time period.

So I want to build a series of measures to pull the numbers of tickets that are either assigned to Team X, were transferred to Team X, or were transferred FROM Team X - and it needs to avoid duplicates - so if a ticket is assigned to that team, was transferred to them, and was transferred from them, it would only return 1 for this filter.

I'm struggling to write the measure - previously I've done CALCULATE(COUNTROWS([Table]),FILTER([Column]="criteria")) but I've not done multiple criteria of distincts.

[Anonymous · Accepted solution]

Hi @PantherusNZ 

Thank you very much Ritaf1983  for your prompt reply, please allow me to share some content here.

Here's some dummy data

“Table”

Create a measure.

Total_Tickets_Managed_By_Team = 
VAR _SelectTea = SELECTEDVALUE('Table'[AssignedTeam])
RETURN
CALCULATE(
    COUNTROWS('Table'),
    FILTER(
        'Table',
        'Table'[AssignedTeam] = _SelectTea ||
        'Table'[TransferredToTeam] = _SelectTea ||
        'Table'[TransferredFromTeam] = _SelectTea
    )
)

Here is the result.

Regards,

Nono Chen

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[Ritaf1983]

Hi @PantherusNZ 

Can you please share a pbix or some dummy data that keep the raw data structure with expected results? It should help us clarify your scenario and test to coding formula.

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