Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Good afternoon I have a problem that I cannot solve I have a table that has different types and categories of product and I want to calculate an indicator by adding the differences that exist between them.
TABLE
ID | TYPE | CATEG | COST |
1 | A | X | 1524 |
2 | A | Y | 1544 |
3 | A | Z | 1569 |
4 | B | X | 1599 |
5 | B | Y | 1634 |
6 | B | Z | 1674 |
7 | A | X | 1719 |
8 | A | Y | 1769 |
9 | A | Z | 1824 |
10 | B | X | 1884 |
CALCULATION
CATEG | AVERAGE TYPE A | AVERAGE TYPE B | DIF |
X | 1621,5 | 1741,5 | 120 |
Y | 1656,5 | 1634 | -22,5 |
Z | 1696,5 | 1674 | -22,5 |
MEASURE TOTAL SUM DIF 75
I want a measure that calculates the sum of the averages by category and type, which can then be shown by any other dimension Can somebody help me Thank you
Solved! Go to Solution.
Hi @emionline ,
I'm so sorry for my late reply.
I modified the previous formula, you could use the following formula:
averageA =
CALCULATE (
AVERAGE ( 'Average table'[Cost] ),
FILTER (
ALL ( 'Average table' ),
'Average table'[Category] = MAX ( 'Average table'[Category] )
&& [Type] = "A"
)
)
averageB =
CALCULATE (
AVERAGE ( 'Average table'[Cost] ),
FILTER (
ALL ( 'Average table' ),
'Average table'[Category] = MAX ( 'Average table'[Category] )
&& [Type] = "B"
)
)
Diff =
'Average table'[averageB] - 'Average table'[averageA]
sumDiff =
VAR _diff = [averageB]- [averageA]
Var _a = SUMX(ADDCOLUMNS(VALUES('Average table'[Category]),"sumDiff",CALCULATE([Diff],ALLEXCEPT('Average table','Average table'[Category]))),[sumDiff])
return
IF(HASONEVALUE('Average table'[Category]),_diff, _a)
My visualization looks like this:
Did I answer your question ? Please mark my reply as solution. Thank you very much.
If not, please upload some insensitive data samples and expected output.
Best Regards,
Eyelyn Qin
Hi @emionline ,
I'm so sorry for my late reply.
I modified the previous formula, you could use the following formula:
averageA =
CALCULATE (
AVERAGE ( 'Average table'[Cost] ),
FILTER (
ALL ( 'Average table' ),
'Average table'[Category] = MAX ( 'Average table'[Category] )
&& [Type] = "A"
)
)
averageB =
CALCULATE (
AVERAGE ( 'Average table'[Cost] ),
FILTER (
ALL ( 'Average table' ),
'Average table'[Category] = MAX ( 'Average table'[Category] )
&& [Type] = "B"
)
)
Diff =
'Average table'[averageB] - 'Average table'[averageA]
sumDiff =
VAR _diff = [averageB]- [averageA]
Var _a = SUMX(ADDCOLUMNS(VALUES('Average table'[Category]),"sumDiff",CALCULATE([Diff],ALLEXCEPT('Average table','Average table'[Category]))),[sumDiff])
return
IF(HASONEVALUE('Average table'[Category]),_diff, _a)
My visualization looks like this:
Did I answer your question ? Please mark my reply as solution. Thank you very much.
If not, please upload some insensitive data samples and expected output.
Best Regards,
Eyelyn Qin
Hi @emionline ,
According to my understanding ,you want to calculate the average based on category and type, and then display the minus value, right?
You could use the following formula:
averageA =
CALCULATE (
AVERAGE ( 'Average table'[Cost] ),
FILTER (
ALL ( 'Average table' ),
[Category] = SELECTEDVALUE ( 'Average table'[Category] )
&& [Type] = "A"
)
)
averageB =
CALCULATE (
AVERAGE ( 'Average table'[Cost] ),
FILTER (
ALL ( 'Average table' ),
[Category] = SELECTEDVALUE ( 'Average table'[Category] )
&& [Type] = "B"
)
)
Diff =
[averageB] - [averageA]
My visualizations look like this:
please try to create three measures
average type a = AVERAGEX(FILTER('Table','Table'[TYPE]="A"),'Table'[COST])
average type b = AVERAGEX(FILTER('Table','Table'[TYPE]="B"),'Table'[COST])
dif = [average type a]-[average type b]
Proud to be a Super User!
Thank you very much for the answer, it only remains to solve the measure that adds up the total averages.
The final result should give -75
That is the measure that I cannot solve and that I need to analyze with any other dimension of the table
Thank you very much for the answer, it only remains to solve the measure that adds up the total averages.
The final result should give 75
That is the measure that I cannot solve and that I need to analyze with any other dimension of the table
@emionline , Try like
Avg Type= calculate(average(Table[COST]),allexcept(Table[TYPE]))
Avg Categ= calculate(average(Table[COST]),allexcept(Table[CATEG]))
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
118 | |
107 | |
70 | |
70 | |
43 |
User | Count |
---|---|
148 | |
106 | |
104 | |
89 | |
65 |