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Count Distinct
Hi everyone,
I need to find the right formula to calculate the target of something. I loaded two tables joined by a field called ID.
TABLE A
ID | COUNTRY | REGION |
1 | USA | NORTH |
2 | USA | EAST |
3 | USA | NORTH |
4 | USA | SOUTH |
5 | USA | SOUTH |
6 | USA | EAST |
7 | USA | EAST |
8 | USA | NORTH |
9 | USA | EAST |
10 | USA | EAST |
TABLE B
DATE | WEEK | ID | DEPARTMENT |
01/01/2020 | W01 | 1 | A |
01/01/2020 | W01 | 1 | B |
01/01/2020 | W01 | 1 | C |
02/01/2020 | W01 | 2 | A |
02/01/2020 | W01 | 3 | A |
02/01/2020 | W01 | 7 | A |
02/01/2020 | W01 | 7 | B |
08/01/2020 | W02 | 4 | A |
09/01/2020 | W02 | 10 | A |
10/01/2020 | W02 | 1 | C |
10/01/2020 | W02 | 1 | B |
15/01/2020 | W03 | 6 | A |
17/01/2020 | W03 | 9 | A |
17/01/2020 | W03 | 1 | A |
17/01/2020 | W03 | 3 | A |
17/01/2020 | W03 | 5 | A |
23/01/2020 | W04 | 7 | B |
23/01/2020 | W04 | 2 | B |
What I have to find is for each region for each week the expected target of ID and the number of events of that ID.
Something like this:
W01 | W02 | W03 | W04 | |||||
EXPCTED | ACTUAL | EXPCTED | ACTUAL | EXPCTED | ACTUAL | EXPCTED | ACTUAL | |
NORTH | 3 | 2 | 3 | 1 | 3 | 2 | 3 | 0 |
EAST | 5 | 2 | 5 | 1 | 5 | 2 | 5 | 2 |
SOUTH | 2 | 0 | 2 | 1 | 2 | 1 | 2 | 0 |
For the EXPECTED I tried this solution but it doesn't work
Alt(sum(aggr(Count(distinct ID),REGION)),'0')
For the ACTUAL i find this one and it's doin' pretty fine
Count(DISTINCT ID)
Thanks for the help.
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Can u try this?
Alt(sum(aggr(Count(distinct ID),REGION,WEEK)),0)

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How you are getting expected count 5 for region EAST and W01.
EAST ID's are 2,6,7,9,10 out of which for W01 there is only 2,7,7 which should be 2 as distinct count?
Also actual expression count(distinct ID) not giving correct count as per your data

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Yes, I've already tried and it doesn't work.
Thank you for the help anyway.

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For the EXPECTED column In every week I need to find the max possible ID that are in the Table A. So basically every week I need to have the same numbers in the EXPECTED column .
