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Hi, I have a very specific problem and I hope I am able to describe it good enough!
I have 2 Tables with separate dates and ID's (Schlag_ID). The structure looks as follows:
If I want to get the Costs (Kosten) for an ID (for instance "S1") for a certain year, I just just add a filter with Datum = 2016 and ID = S1
It looks like that:
If I want to add the costs for each FlächeGesFE (squaremetres) I create the following measure:
Kosten_ha = divide(sum(Pivot[Kosten]);sum('Flächenentwicklung'[FlächeErtrFE])/10000;0)
When I add "Kosten_ha" to the list, I get the identifier (Schlagbezeichnung_FE) for every ID, the costs of S1 in every ID and 0 for all identifiers but the correct one (S1 = Hengsberg Q2).
I think the problem is how i set up the structure. I cant match Schlag_ID from [Flächenentwicklung] and [Pivot] without getting a problem with the date.
Solved! Go to Solution.
In your table Schlag_ID and Schlagebezeichnug_FE come from Flächenentwicklung.
However, filters applied to this table do not propagate to the table Pivot.
You can either activate bi-directional filtering between Flächenentwicklung and Schlag_ID or add all relevant columns (Schlagebezeichnung_FE, Gemarkung_FE, ...) to your filter table (Schlag) or create measures using the following patterns:
-
CALCULATE( SUM(Pivot[Kosten]) ; 'Flächenentwicklung' )
CALCULATE( SUM(Pivot[Kosten])
; CROSSFILTER('Flächenentwicklung'[Schlag_ID];'Schlag_ID'[Schlag_ID], Both)
)Note: Measures are untested.
In your table Schlag_ID and Schlagebezeichnug_FE come from Flächenentwicklung.
However, filters applied to this table do not propagate to the table Pivot.
You can either activate bi-directional filtering between Flächenentwicklung and Schlag_ID or add all relevant columns (Schlagebezeichnung_FE, Gemarkung_FE, ...) to your filter table (Schlag) or create measures using the following patterns:
-
CALCULATE( SUM(Pivot[Kosten]) ; 'Flächenentwicklung' )
CALCULATE( SUM(Pivot[Kosten])
; CROSSFILTER('Flächenentwicklung'[Schlag_ID];'Schlag_ID'[Schlag_ID], Both)
)Note: Measures are untested.
Sorry that I needed much time to test your formula, but it defenitly worked! Thank You!
best regards
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