Problems combining 2 Tables

[Anonymous]

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.

[LaurentCouartou · Accepted 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.

[Anonymous]

Sorry that I needed much time to test your formula, but it defenitly worked! Thank You!

best regards