Calculate row data from two different tables using the filter

[RJS849]

I have two tables. I need to get difference of Sum from filtered rows of two tables.

In the example below I need to sum up all incomes by department. I can easily do that by creating matrix table which displays Sum of total income by department.

What I want is the summary table below where each row in the column 'Difference' witll add up total incomes from table "Real Income' by department and subtract EstIncome value from 'Est' table for the same department.

I can create measure for each department using CALCULATE(SUM('Real Income'[Income), 'Real Income'[DEPTID]="101A") and subtract the value from another table for same department but that will create column for each department.

Real Income		Est Income
dept	Income		dept	EstIncome
101A	10000		101A	16000
102A	20000		102A	21000
101A	15000
Summary
dept	Difference
101A	9000
102A	-1000

[Anonymous · Accepted solution]

This will be come significantly easier if you create a "lookup table" that holds all the departments.

Then it is simply:

Total Est  := SUM('Estimates'[EstIncoming])

Total Real := SUM('Real'[Incoming])

Delta := [Total Real] - [Total Est]

When creating your summary table, you would place Departments out of the new lookup table on rows (which would cause both fact tables to be filtered, via the magic of the relationships you create).

One way to create the lookup table, is to use the "Calculate Table" on the modeling ribbon:

Departments = DISTINCT(UNION(VALUES(Real[Dept]), VALUES(Est[Dep])))

Don't forget to relate it back to both your fact tables.

[RJS849]

Thanks scottsen for the solution. That is what I wanted.