Forum Discussion
Count open items each day, 2 date columns
Hi team,
I have a date table, and a data table, the three relevant columns from the data table are:
| ID | Date Issued | Compliance Date |
| 1 | 1/01/2020 | 10/01/2020 |
| 2 | 5/01/2020 | 14/01/2020 |
| 3 | 13/01/2020 | 20/01/2020 |
| 4 | 16/01/2020 | 22/01/2020 |
I need 3 measures, 2 I've done, stuck on the third. My date table has an active relationship between Date and Date Issued, and an inactive relationship between Date and Compliance Date.
For the first measure, items raised on a given day, it's just a distinctcount of the id
For the second measure, items closed on a given day, it's
Hickling , You can try a measure like one used in HR Analytics
CALCULATE(COUNTx(FILTER(Employee,Employee[Start Date]<=max('Date'[Date]) && (ISBLANK(Employee[End Date]) || Employee[End Date]>max('Date'[Date]))),(Employee[Employee Id ])),CROSSFILTER(Employee[Start Date],'Date'[Date],None))
You can refer this blog
2 Replies
- swikritee_p
Resolver II
Hickling , You can try a measure like one used in HR Analytics
CALCULATE(COUNTx(FILTER(Employee,Employee[Start Date]<=max('Date'[Date]) && (ISBLANK(Employee[End Date]) || Employee[End Date]>max('Date'[Date]))),(Employee[Employee Id ])),CROSSFILTER(Employee[Start Date],'Date'[Date],None))
You can refer this blog- Hickling
Helper I
This is perfect, thank you!