Don't miss your chance to take exam DP-600 or DP-700 on us!
Request nowLearn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
hi team i need help,
i have the data , need to calculate in time and out time
I need the output
i try but not able to get output
Solved! Go to Solution.
Hi @rajasekar_o
You can create a calculated column in table
date = [datetime].[Date]
Then create the following measures
in time = CALCULATE(MIN('Table'[datetime]),'Table'[type]=0)out time = CALCULATE(MAX('Table'[datetime]),'Table'[type]=1)
Then put them to the visual filter.
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @rajasekar_o
You can create a calculated column in table
date = [datetime].[Date]
Then create the following measures
in time = CALCULATE(MIN('Table'[datetime]),'Table'[type]=0)out time = CALCULATE(MAX('Table'[datetime]),'Table'[type]=1)
Then put them to the visual filter.
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hello @rajasekar_o
you can achieve this output with power query .
follow these steps :
i took example this sample data :
step 1 : select the column you want to transform it into columns.
step2 : go to transform --> pivot
step3 : choose for value column, the values that you want to be under each pivoted column
and aggregate you can set to dont aggregate
final result :
If my response has successfully addressed your issue kindly consider marking it as the accepted solution! This will help others find it quickly. Dont forget to hit that thumbs up button 🫡👍
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 49 | |
| 40 | |
| 37 | |
| 14 | |
| 13 |
| User | Count |
|---|---|
| 85 | |
| 69 | |
| 37 | |
| 28 | |
| 27 |