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Solved! Go to Solution.
Hi @marsclone,
I had a test to calculate the difference based on the data as your descripted. Please check the following steps:
1.Enter the data and new a Year column using the formula:
Year = YEAR(Table2[date])
2.Create three measures to calculate that you want.
ave 2017 = CALCULATE(SUM(Table2[Revenue])/SUM(Table2[qty]), FILTER(Table2,Table2[Year]=2017))
ave 2018 = CALCULATE(SUM(Table2[Revenue])/SUM(Table2[qty]), FILTER(Table2,Table2[Year]=2018))
difference = [ave 2018]-[ave 2017]
3.Then we can get the result as below.
For more information, please check the pbix as attached.
https://www.dropbox.com/s/rfdinx3zzxg9i5h/DAx1.pbix?dl=0
If the above DAX don’t help, please share sample data of your table and post expected result.
Regards,
Frank
Hi @marsclone,
I had a test to calculate the difference based on the data as your descripted. Please check the following steps:
1.Enter the data and new a Year column using the formula:
Year = YEAR(Table2[date])
2.Create three measures to calculate that you want.
ave 2017 = CALCULATE(SUM(Table2[Revenue])/SUM(Table2[qty]), FILTER(Table2,Table2[Year]=2017))
ave 2018 = CALCULATE(SUM(Table2[Revenue])/SUM(Table2[qty]), FILTER(Table2,Table2[Year]=2018))
difference = [ave 2018]-[ave 2017]
3.Then we can get the result as below.
For more information, please check the pbix as attached.
https://www.dropbox.com/s/rfdinx3zzxg9i5h/DAx1.pbix?dl=0
If the above DAX don’t help, please share sample data of your table and post expected result.
Regards,
Frank
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
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