Average by category and type

[emionline]

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

[v-eqin-msft · Accepted 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

[v-eqin-msft]

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:

Is the result what you want? If not, please upload some data samples and expected output.
Please do mask sensitive data before uploading.

Best Regards,
Eyelyn Qin

[ryan_mayu]

@emionline 

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]

[emionline]

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]

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

[amitchandak]

@emionline , Try like

Avg Type= calculate(average(Table[COST]),allexcept(Table[TYPE]))

Avg Categ= calculate(average(Table[COST]),allexcept(Table[CATEG]))