Forum Discussion
Count Help
Hello - needing help formulating a measure to help count for visual.
Goal -
- Card Visual to show count of how many employees w/ 1 or more logins
- Card Visual to show percentage of employees w/ 3 or more logins
- Utilize Silcer to filter by date
Sample data:
| Date | Employee ID | User Name | User First Name | User Last Name | User Email |
| 4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 5/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 5/1/2023 | 987654321 | Uncle Eddy | Uncle Eddy | Johnson | [email protected] |
| 5/1/2023 | 987654321 | Uncle Eddy | Uncle Eddy | Johnson | [email protected] |
| 4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 5/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 5/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 5/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 4/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 4/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 4/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | [email protected] |
| 6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | [email protected] |
| 4/1/2023 | 654789213 | Audry Griswold | Audry | Griswold | [email protected] |
ATTEMPT 1 ---
Adjustments made in power query: Group by 'Employee ID'
I set up two measurements:
However, I am not able to filter by date with slicer because I grouped the information in power query and my date is not longer an option in the data.
ATTEMPT 2 ---
Adjustments made in power query: Group by 'Employee ID', and 'Date'
Visuals updated...no longer accurate. I only have 5 employees in my data.
ATTEMPT 3 ---
This is where I am stuck. It seems like attempt 3 will provide me the option to slice by date but I am lost on how to create the measurements. When I follow the same measurements above, adjusting for column names, I receive errors.
Hi,
I am not sure if I understood your question correctly, but please check the below picture and the attached pbix file.
I tried to create a datamodel like below.
I hope the below can provide some ideas on how to create a solution for your datamodel.
Count employee with 1 or more login: = VAR _t = ADDCOLUMNS ( VALUES ( Employee[Employee ID] ), "@logincount", CALCULATE ( COUNTROWS ( Data ) ) ) RETURN COUNTROWS ( FILTER ( _t, [@logincount] >= 1 ) )Percentage employee with 3 or more login: = VAR _employeecount = COUNTROWS ( VALUES ( Employee[Employee ID] ) ) VAR _t = ADDCOLUMNS ( VALUES ( Employee[Employee ID] ), "@logincount", CALCULATE ( COUNTROWS ( Data ) ) ) VAR _threeormore = COUNTROWS ( FILTER ( _t, [@logincount] >= 3 ) ) RETURN DIVIDE ( _threeormore, _employeecount )
1 Reply
- Jihwan_KimSuper User
Hi,
I am not sure if I understood your question correctly, but please check the below picture and the attached pbix file.
I tried to create a datamodel like below.
I hope the below can provide some ideas on how to create a solution for your datamodel.
Count employee with 1 or more login: = VAR _t = ADDCOLUMNS ( VALUES ( Employee[Employee ID] ), "@logincount", CALCULATE ( COUNTROWS ( Data ) ) ) RETURN COUNTROWS ( FILTER ( _t, [@logincount] >= 1 ) )Percentage employee with 3 or more login: = VAR _employeecount = COUNTROWS ( VALUES ( Employee[Employee ID] ) ) VAR _t = ADDCOLUMNS ( VALUES ( Employee[Employee ID] ), "@logincount", CALCULATE ( COUNTROWS ( Data ) ) ) VAR _threeormore = COUNTROWS ( FILTER ( _t, [@logincount] >= 3 ) ) RETURN DIVIDE ( _threeormore, _employeecount )