Slicer filtering measure on specific date

[ArmellA]

Hello 🙂 

I'm trying to track employee changes between 2 dates. I build measures to do this, and it works fine. but they are not dynamic with any slicers I want to add. Here is an example. I guess I'm just doing this wrong from the beginning, but I don't know how to handle this case. 

My data: 

ID	Name	Date	Categorie	Region
1	Adam Lister	2020-01	Professional	South
1	Adam Lister	2020-02	IT	South
1	Adam Lister	2020-03	IT	South
2	Suzie White	2020-03	IT	North
2	Suzie White	2020-04	IT	North
2	Suzie White	2020-05	Professional	South
3	Mike Right	2020-01	Professional	South
3	Mike Right	2020-03	IT	North
3	Mike Right	2020-04	IT	North
3	Mike Right	2020-05	Professional	North

[Anonymous · Accepted solution]

Hi @ArmellA ,

Please refer to my pbix file to see if it helps you.

Create a table included the category column.

Create a measure.

Measure =
VAR _mindate =
    MINX (
        FILTER ( ALLSELECTED ( 'Table' ), 'Table'[ID] = SELECTEDVALUE ( 'Table'[ID] ) ),
        'Table'[Date]
    )
VAR _1 =
    MINX ( FILTER ( ALL ( 'Table' ), 'Table'[Date] = _mindate ), 'Table'[Region] )
VAR _maxdate =
    MAXX (
        FILTER ( ALLSELECTED ( 'Table' ), 'Table'[ID] = SELECTEDVALUE ( 'Table'[ID] ) ),
        'Table'[Date]
    )
VAR _2 =
    MINX (
        FILTER (
            ALL ( 'Table' ),
            'Table'[Date] = _maxdate
                && 'Table'[ID] = SELECTEDVALUE ( 'Table'[ID] )
        ),
        'Table'[Region]
    )
VAR _re =
    IF ( _1 = "South" && _2 = "North", 1, 0 )
RETURN
    IF (
        _re = 1
            && MAX ( 'Table'[Categorie] ) = SELECTEDVALUE ( 'Table (2)'[category] ),
        1,
        0
    )

Then filter the measure is 1.

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If it does not help, please provide more details with your desired output and pbix file without privacy information (or some sample data) .

Best Regards
Community Support Team _ Polly

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[tamerj1 · Accepted solution]

Hi @ArmellA 
Please refer to attached sample file with the solution

From North to South = 
SUMX (
    VALUES ( Employee[ID] ),
    VAR CurrentEmpTable = CALCULATETABLE ( Employee )
    VAR FirstRegion = MAXX ( TOPN ( 1, CurrentEmpTable, Employee[Date], ASC ), Employee[Region] )
    VAR LastRegion = MAXX ( TOPN ( 1, CurrentEmpTable, Employee[Date], DESC ), Employee[Region] )
    RETURN
        IF (  FirstRegion = "North" && LastRegion= "South", 1 )
)

From South to North = 
SUMX (
    VALUES ( Employee[ID] ),
    VAR CurrentEmpTable = CALCULATETABLE ( Employee )
    VAR FirstRegion = MAXX ( TOPN ( 1, CurrentEmpTable, Employee[Date], ASC ), Employee[Region] )
    VAR LastRegion = MAXX ( TOPN ( 1, CurrentEmpTable, Employee[Date], DESC ), Employee[Region] )
    RETURN
        IF (  FirstRegion = "South" && LastRegion= "North", 1 )
)

[Anonymous · Accepted solution]

Hi @ArmellA ,

Please refer to my pbix file to see if it helps you.

Create a table included the category column.

Create a measure.

Measure =
VAR _mindate =
    MINX (
        FILTER ( ALLSELECTED ( 'Table' ), 'Table'[ID] = SELECTEDVALUE ( 'Table'[ID] ) ),
        'Table'[Date]
    )
VAR _1 =
    MINX ( FILTER ( ALL ( 'Table' ), 'Table'[Date] = _mindate ), 'Table'[Region] )
VAR _maxdate =
    MAXX (
        FILTER ( ALLSELECTED ( 'Table' ), 'Table'[ID] = SELECTEDVALUE ( 'Table'[ID] ) ),
        'Table'[Date]
    )
VAR _2 =
    MINX (
        FILTER (
            ALL ( 'Table' ),
            'Table'[Date] = _maxdate
                && 'Table'[ID] = SELECTEDVALUE ( 'Table'[ID] )
        ),
        'Table'[Region]
    )
VAR _re =
    IF ( _1 = "South" && _2 = "North", 1, 0 )
RETURN
    IF (
        _re = 1
            && MAX ( 'Table'[Categorie] ) = SELECTEDVALUE ( 'Table (2)'[category] ),
        1,
        0
    )

Then filter the measure is 1.

How to Get Your Question Answered Quickly 

If it does not help, please provide more details with your desired output and pbix file without privacy information (or some sample data) .

Best Regards
Community Support Team _ Polly

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