Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
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
Solved! Go to Solution.
@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 , 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
This is perfect, thank you!
User | Count |
---|---|
65 | |
60 | |
47 | |
33 | |
32 |
User | Count |
---|---|
86 | |
75 | |
56 | |
50 | |
45 |