Earn the coveted Fabric Analytics Engineer certification. 100% off your exam for a limited time only!
Hello all,
i'm beginner and just want to know how i can create the variance of column 1 and 2 and also the variance %
the numbers 1 until 5 represent columname MONTH and the products represent columnname PRODUCT.
Kind regards,
Rega
Solved! Go to Solution.
Hi @Anonymous,
You can create measures below:
Variance = CALCULATE(SUM(Table1[Amount]),FILTER(Table1,'Table1'[Month]=1))-CALCULATE(SUM(Table1[Amount]),FILTER(Table1,'Table1'[Month]=2))
Variance % = DIVIDE('Table1'[Variance],CALCULATE(SUM(Table1[Amount]),FILTER(ALL(Table1),'Table1'[Month]=1)))
By the way, I would suggest you display those two measures in card visuals. As you use matrix visual to display data originally, if we add two measures to this matrix, two measures values will display under each column group, means under 1, 2,...,5, each will have three columns. It will make the matrix messy, as you just want to return variance between the 1 and 2.
Best Regards,
Qiuyun Yu
Hi @Anonymous,
You can create measures below:
Variance = CALCULATE(SUM(Table1[Amount]),FILTER(Table1,'Table1'[Month]=1))-CALCULATE(SUM(Table1[Amount]),FILTER(Table1,'Table1'[Month]=2))
Variance % = DIVIDE('Table1'[Variance],CALCULATE(SUM(Table1[Amount]),FILTER(ALL(Table1),'Table1'[Month]=1)))
By the way, I would suggest you display those two measures in card visuals. As you use matrix visual to display data originally, if we add two measures to this matrix, two measures values will display under each column group, means under 1, 2,...,5, each will have three columns. It will make the matrix messy, as you just want to return variance between the 1 and 2.
Best Regards,
Qiuyun Yu
How did you get the Table reference to work? I can't find table names or anything similar to that using the current PowerBI Desktop.
HI @v-qiuyu-msft,
Thanks for your advise. But what if want to have measures which calculate the variance and variance % between month 2 and 3 or 4 and 5 ? So to have a flexible measurements?
Do you mean like:
Variance = [1] - [2] Variance% = ([1] - [2]) / [1]
User | Count |
---|---|
140 | |
113 | |
104 | |
77 | |
65 |
User | Count |
---|---|
136 | |
117 | |
101 | |
71 | |
61 |