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Hi everyone!
I have these three tables:
| Order no |
| 100 |
| 200 |
| 300 |
| 400 |
| javascript:;Order no | item number | Q |
| 100 | A | 1 |
| 200 | B | 2 |
| 400 | D | 3 |
| 300 | E | 4 |
| item number | conversion rate |
| A | 2 |
| B | 3 |
| D | 6 |
I want to show the order number with no conversion rate, I mean, Order number 300.
answer:
| Order no | Q |
| 300 | 400 |
How we can do that?
[Order no] as dimentsion
Sum({<[Order no] = E({<[conversion rate]=p([conversion rate])>})>}Q) as measure
PFA
Hi,
Try like below,
Table:
LOAD * INLINE [
Order no
100
200
300
400
];
Table3:
LOAD * INLINE [
item number, conversion rate
A, 2
B, 3
D, 6
];
Table2:
load * Inline [
Order no, item number, Q
100, A, 1
200, B, 2
400, D, 3
300, E, 4] where not Exists([item number],[item number]);
[Order no] as dimentsion
Sum({<[Order no] = E({<[conversion rate]=p([conversion rate])>})>}Q) as measure
PFA
Hi Dave Lau
thanks, it works, how about this situation, I want to add a new table , so as you can see the E and F item number does not have a conversion rate but I just would like to show type 2, therefore the answer should be F,how can I do that?
| Order no |
| 100 |
| 200 |
| 300 |
| 400 |
| 500 |
| Order no | item number | Q |
| 100 | A | 1 |
| 200 | B | 2 |
| 400 | D | 3 |
| 300 | E | 4 |
| 500 | F | 3 |
| item number | conversion rate |
| A | 2 |
| B | 3 |
| D | 6 |
| item number | type |
| A | 1 |
| B | 1 |
| D | 1 |
| E | 1 |
| F | 2 |
just add a condition in expression
Sum({<[Order no] = E({<[conversion rate]=p([conversion rate])>}),type = {2}>}Q)
thanks, it was useful.