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Hi, I have a dataset and I have mimicked 2 weeks data below:
| Date | Total Hours | Name |
05-07-2020 | 1.8 | A |
| 05-07-2020 | 1.2 | A |
| 05-07-2020 | 2.2 | B |
| 06-07-2020 | 3.6 | B |
| 06-07-2020 | 1 | A |
| 07-07-2020 | 2 | B |
| 08-07-2020 | 3 | A |
| 09-07-2020 | 4 | A |
| 10-07-2020 | 1 | B |
| 11-07-2020 | 1 | B |
| 12-07-2020 | 1 | B |
| 13-07-2020 | 1 | C |
| 14-07-2020 | 1 | C |
| 15-07-2020 | 1 | D |
| 16-07-2020 | 1 | F |
| 17-07-2020 | 1 | G |
| 18-07-2020 | 1 | D |
The final result that we need is to have bins, in below format:
| Bins | Total Hours(Weekly Basis) | Distinct Count(Weekly Basis) |
| 0-2 | 7 | 5 |
| 2-8 | 0 | 0 |
| Above 8 | 19 | 2 |
It should follow this logic in the background:
WEEK1 9.2 A
WEEK1 9.8 B
WEEK2 1 B
WEEK2 2 C
WEEK2 2 D
WEEK2 1 F
WEEK2 1 G
That is, it should sum [Total hours] by weeks using a distinct count of [Name] Column.
Please help.
Take a look at the attached qvf. I aggregated the data in the script and assign the bins using intervalmatch
Take a look at the attached qvf. I aggregated the data in the script and assign the bins using intervalmatch