Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
I am trying to replicate my excel item in a power bi
My source table has
Column1 Column2 Column3
1 REPT 12/1/2018 9:00:00 AM
1 DISP 12/1/2018 9:23:00 AM
2 REPT 12/1/2018 9:250:00 AM
2 DISP 12/1/2018 9:55:00 AM
2 CMPLT 12/1/2018 1:30:00 PM
1 CMPLT 12/1/2018 2:00:00 PM
I would like to show the duration time from DISP to CMPLT
Additionally I have a Matrix Table as such and would like to bring in a column for duration for each record
Callid | REPT | DISP | CMPLT |
1 9:00:00 AM 9:23:00 AM 2:00:00 PM
2 9:25:00 AM 9:55:00 AM 1:30:00 PM
Thank You
Solved! Go to Solution.
See my article on Mean Time Before Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/3395...
See my article on Mean Time Before Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/3395...
Thank You sir for the information,
I have read over the article a few times .. and I beleive i understand what you created with your data
I issue i am having though is how my source data is not the same as your example data
Column1 Column2 Column3
1 REPT 12/1/2018 9:00:00 AM
1 DISP 12/1/2018 9:23:00 AM
2 REPT 12/1/2018 9:250:00 AM
2 DISP 12/1/2018 9:55:00 AM
2 CMPLT 12/1/2018 1:30:00 PM
1 CMPLT 12/1/2018 2:00:00 PM
How could i create the measure that references Column1 , Column2 and Column3 ( 1, DISP , 12/1/2018 9:23:00 AM ) and then create a new column that provides the difference of ( 1, CMPLT , 12/1/2018 2:00:00 PM )
Thanks
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 39 | |
| 37 | |
| 33 | |
| 32 | |
| 29 |
| User | Count |
|---|---|
| 133 | |
| 88 | |
| 85 | |
| 68 | |
| 64 |