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Hi all,
I have this sales table that have many outlets, which one of them is our online store. However, for online store this table isn't particularly accurate. So we have this another sales table which is only for online store. Is there a way for me to combine the table ?
Table A :
| Date | Outlet | Sales |
| 1/1/2022 | ABC | 100 |
| 1/1/2022 | Online Store | 250 |
| 1/1/2022 | DEF | 150 |
Table B :
| Date | Outlet | Sales |
| 1/1/2022 | Online Store | 150 |
| 1/1/2022 | Online Store | 200 |
I tried this :
CALCULATE(SUM(Table A[Sales]), FILTER(Outlet<>"Online Store") + CALCULATE(SUM(Table B[Sales]))
I notice the formula above doesn't work when i try to visualize the sales based on outlet. For some reason the sales from Table B will add on to all the outlet instead of making it part of outlets
Appreciate your help on this matter.
Thanks !
Solved! Go to Solution.
@Velvetine , You need to have common outlet and date table for that and join with both tabels and then try like
outlet = distinct(union(distinct(Table1[outlet ]),distinct(Table2[outlet ])))
CALCULATE(SUM(Table A[Sales]), FILTER(Outlet, Outlet[Outlet]<>"Online Store")) + CALCULATE(SUM(Table B[Sales]))
@Velvetine , You need to have common outlet and date table for that and join with both tabels and then try like
outlet = distinct(union(distinct(Table1[outlet ]),distinct(Table2[outlet ])))
CALCULATE(SUM(Table A[Sales]), FILTER(Outlet, Outlet[Outlet]<>"Online Store")) + CALCULATE(SUM(Table B[Sales]))
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