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Hello - needing help formulating a measure to help count for visual.
Goal -
Sample data:
Date | Employee ID | User Name | User First Name | User Last Name | User Email |
4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
4/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
5/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
5/1/2023 | 987654321 | Uncle Eddy | Uncle Eddy | Johnson | uncleeddy@christmasvacation.com |
5/1/2023 | 987654321 | Uncle Eddy | Uncle Eddy | Johnson | uncleeddy@christmasvacation.com |
4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
4/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
5/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
5/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
5/1/2023 | 563214897 | Ellen Griswold | Ellen | Griswold | ellengriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
4/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
4/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
4/1/2023 | 789456132 | Rusty Griswold | Rusty | Griswold | rustygriswold@christmasvacation.com |
6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
6/1/2023 | 123456789 | Clark Griswold | Clark | Griswold | clarkgriswold@christmasvacation.com |
4/1/2023 | 654789213 | Audry Griswold | Audry | Griswold | audrygriswold@christmasvacation.com |
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.
Solved! Go to Solution.
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 )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
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 )
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
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