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Hi all,
I really stuck here to fill in the gap. Please help!!
From:
To:
Thank you!!!!
Solved! Go to Solution.
Hi @Anonymous
Create a column like this :
Column 2 =
var _a= CALCULATE(MAX('Table'[Date]),FILTER(ALL('Table'),[Type]=EARLIER('Table'[Type])&&[Date]<EARLIER('Table'[Date])&&[Reading]<>BLANK()))
return IF([Reading]<>BLANK(),[Reading],CALCULATE(MAX('Table'[Reading]),FILTER(ALL('Table'),[Type]=EARLIER('Table'[Type])&&[Date]=_a)))
The final result is as shown :
I have attached my pbix file , you can refer to it .
Best Regards,
Community Support Team _ Ailsa Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous
Create a column like this :
Column 2 =
var _a= CALCULATE(MAX('Table'[Date]),FILTER(ALL('Table'),[Type]=EARLIER('Table'[Type])&&[Date]<EARLIER('Table'[Date])&&[Reading]<>BLANK()))
return IF([Reading]<>BLANK(),[Reading],CALCULATE(MAX('Table'[Reading]),FILTER(ALL('Table'),[Type]=EARLIER('Table'[Type])&&[Date]=_a)))
The final result is as shown :
I have attached my pbix file , you can refer to it .
Best Regards,
Community Support Team _ Ailsa Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
What my DAX is :
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13 | |
8 | |
8 | |
7 | |
5 |
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21 | |
15 | |
15 | |
10 | |
7 |