Hi,
I have 2 tables that are in diff shapes (diff number of columns) but they do have common fields like below :
| Table 1 | Field A | Field B | Field C | Field D | Field E | Field F | Field G | 10 other columns | |
| | | | | | | | | | |
| Table 2 | Field A | Field B | Field C | Field D | Field E | Field F | Field G | 5 other columns | |
What i want to do is to create a pivot table which add up the value field (say field G) from the 2 tables. My pivot table would be something like this :
2 Row Dimensions : Field A and Field B
3 Column Dimensions : Field C/D/E
Value : sum of Field G from 2 tables
| Pivot Table | | Column | | |
| | | | Field C | | |
| | | | Field D | | |
| | | | Field E | | |
| Row | Row | | | | |
| Field A | Field B | | Sum of Field G from 2 tables |
I tried having associate say using Field A of the 2 tables to build the pivot and in the measure expression I used Sum (field G) Table 1 + Sum of field G Table2. What I notice is, say if Field A could have 3 diff values, the for value 1 of Field A, the Field G presented with some numbers. When scroll down further, value 2 of Field A got exactly the same numbers in the pivot as per value 1 above. Same happen for value 3 under field A.
Could anyone advise me what went wrong?
