Hi there,
Its my first post, pls tell me when you need further Information.
Problem: there are two tables related by the dates table. Actual Cost is based on specific dates (e.g.: 01.05.2022; with duplicates), Expected Cost is based on Year Quarter (e.g.: 2022 Q2; no duplicates). I want to know the difference between expected and actual cost based on Year Quarter. Both tables are related to the Dates table (see picture).
i fooled around with sumx and related, but didn't really have any major breakthroughs. any idea how to solve this?
Thanks for helping
Solved! Go to Solution.
@Anonymous Maybe:
Measure =
VAR __YearQuarter = MAX('Dates'[Year Quartal])
VAR __Expected = MAXX(FILTER('Expected Cost',[Year Quarter] = __YearQuarter),[Prediction Sales])
VAR __Actuals = SUM('Actual Cost'[Total Value])
RETURN
__Expected - __Actuals
@Anonymous Maybe:
Measure =
VAR __YearQuarter = MAX('Dates'[Year Quartal])
VAR __Expected = MAXX(FILTER('Expected Cost',[Year Quarter] = __YearQuarter),[Prediction Sales])
VAR __Actuals = SUM('Actual Cost'[Total Value])
RETURN
__Expected - __Actuals
Awesome! Dose the Job i guess 🙂
However i coud observe something interesting, when totaling the measure (which i will not need):
- Everything looks fine, when selecting Q1 and Q2
- The total gets an negative value, when also selecting Q3. showing the Value of Q3 - (Q1 + Q2)
- When adding Q4 the total is positve again, but way to low.
I see there is a long way for me to understand dax. however your anser fixed my problem!
Join us for a free, hands-on Microsoft workshop led by women trainers for women where you will learn how to build a Dashboard in a Day!
User | Count |
---|---|
107 | |
74 | |
66 | |
50 | |
49 |
User | Count |
---|---|
163 | |
85 | |
76 | |
68 | |
67 |