Handling Negative Entries in Data

[Anonymous]

Hello community members,

I have an Excel timesheet with data on the daily work hours of employees for different projects. I am creating a Power BI dashboard to display this information. However, some of the data contains negative values for specific days and projects, which are a result of later corrections made to the timesheet system. For example, if an employee worked 8 hours in total for a day, they may have initially reported 8 hours worked on Project X, but later corrected it to 8 hours worked on Project Y (or multiple projects), causing the original Project X hours to be recorded as negative. I need to find a way to handle/clean these negative entries so that the Power BI dashboard accurately reflects the employee's work hours.

Below is the simplified data. 

Employee	Project	Date	Hours
Employee A	Project A	08-Feb-23	4.00
Employee A	Project A	08-Feb-23	(4.00)
Employee A	Project B	08-Feb-23	8.00
Employee B	Annual Leave	08-Feb-23	8.00
Employee B	Annual Leave	08-Feb-23	(8.00)
Employee B	Project A	08-Feb-23	6.00
Employee B	Project B	08-Feb-23	2.00

[Anonymous]

Apparently, I noticed that if I leave them as it is, the visuals automatically account for the negative values.

[Anonymous]

Hi @Anonymous ,

Not sure, do you want to calculate the sum of all values with positive numbers?

Total Hours = CALCULATE(SUM('Table'[Hours]),'Table'[Hours]>=0)

If I misunderstand your needs, please tell me what your expected output is and how it is calculated.

Best Regards,
Gao
Community Support Team

If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly. If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

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[amitchandak]

@Anonymous , In power BI use a measure = Sum(Table[Hours]) , with all other column

Also, you can use visual level filter measure <> 0

or anew measure

measure 1=

if([Measure] =0, blank(), [Measure])