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grojnak
New Member

Count changes in a field (with date)

Hello.

 

I have a table with these fields:

- employee: ID number of the worker

- location: "home" or "office"

- date: each day the employee worked

 

I need to count how many changes from "home" to "office" or "office" to "home" had each employee. Of course, each change should be coherent in time. For example, for one employee:

dateLocation
25/09home
26/09office
27/09home
28/09home
29/09home

 

the count should be 2. How can I do that? I may also need to detail only the changes. Which is the best approach? A new column with M? A new table? I discard the measure, because of that need of the detailed info of only the changes.

 

Thanks,

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @grojnak ,

 

I suggest you to try code as below to create a measure.

My Sample:

vrzhoumsft_0-1695276559847.png

Count Location Change For Employee =
VAR _SUMMARIZE =
    SUMMARIZE (
        ADDCOLUMNS (
            'Table',
            "CheckPoint",
                CALCULATE (
                    MIN ( 'Table'[date] ),
                    FILTER (
                        ALLEXCEPT ( 'Table', 'Table'[Employee ID] ),
                        'Table'[date] > EARLIER ( [date] )
                            && 'Table'[Location] <> EARLIER ( [Location] )
                    )
                )
        ),
        [Employee ID],
        [CheckPoint]
    )
RETURN
    COUNTX ( _SUMMARIZE, [CheckPoint] )

Result is as below.

vrzhoumsft_1-1695276579324.png

 

Best Regards,

Rico Zhou

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

Hi @grojnak ,

 

I suggest you to try code as below to create a measure.

My Sample:

vrzhoumsft_0-1695276559847.png

Count Location Change For Employee =
VAR _SUMMARIZE =
    SUMMARIZE (
        ADDCOLUMNS (
            'Table',
            "CheckPoint",
                CALCULATE (
                    MIN ( 'Table'[date] ),
                    FILTER (
                        ALLEXCEPT ( 'Table', 'Table'[Employee ID] ),
                        'Table'[date] > EARLIER ( [date] )
                            && 'Table'[Location] <> EARLIER ( [Location] )
                    )
                )
        ),
        [Employee ID],
        [CheckPoint]
    )
RETURN
    COUNTX ( _SUMMARIZE, [CheckPoint] )

Result is as below.

vrzhoumsft_1-1695276579324.png

 

Best Regards,

Rico Zhou

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

lbendlin
Super User
Super User

Yes, this can easily be done in Power Query via grouping.  Read about GroupKind.Local

 

 

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