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I have the following table:
ID Transaction Date
1 1/31/2018
2 1/31/2018
3 1/31/2018
4 2/28/2018
5 2/28/2018
6 12/31/2017
7 12/31/2017
8 12/31/2017
I want to calculate the average based on the grouping them by trasaction date.
Ex: Count of ID when Transaction date = 1/31/2018 + Count of ID when transaction date = 2018 and so on.
The 2017 is an example. Ideally I would like it as count of ID groupin git by transaction date in that year. In 2017 it would be Measure = (count(ID) when transaction date =1/31/2017 + count of ID when transaction date = 2/28/2017 + Count of ID when transaction date= 3/31/2017 + .......)/12. As in the average.
For 2018, it needs to be b9 8 and similarly in September it needs to be by 8 and so on.
Can this be done in any way? Thank You
Hi @Anonymous,
You could create a measure:
Average = COUNT('Table'[ID])/12
Add 'Transaction Date' hierarchy (remove all levels except for 'Year') and above measure into table visual.
Regards,
Yuliana Gu
I would need that as a seperate measure to show on my visuals. I should not be showing the transaction date as part of my visuals.
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