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my data is
| creation dateMonth | completion dateMonth | totalsale |
| Jan-11 | Mar-11 | 10 |
| Feb-11 | Mar-11 | 20 |
| Mar-11 | Apr-11 | 30 |
| Apr-11 | Apr-11 | 40 |
required out is
monthyear
| creation date | sum(totalsale) | sumtotalcompletion | |
| 100 | 100 | ||
| Jan-11 | 10 | 0 | |
| Feb-11 | 20 | 0 | |
| Mar-11 | 30 | 30 | |
| Apr-11 | 40 | 70 | |
issue: unable to calculate 'sumtotalcompletion' column.
Itried=
Sum(Total {<[Completion dateMont]={'$(=MonthNAme(Max([CATS Creation dateMonth]))'}>}[totalsale])
but not working
PFA sample.
Thanks
Raj
Hi Raj,
It is not the most elegant way of doing this, but I played with the data model first:
As you can see, I summed totalsale by completion dateMonth and re-named it creation dateMonth. As a result of this, the data model had the below structure:
And in the front end, I simply utilized sum function:
Hope this helps.
Thanks
Ya I know above process but my real table is quite big(millions of records), so performing join will affect the load performance. So I am looking a solution by set analysis.