Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi everyone!
I have a real problem here. I have a dataset with pieces of work that have 2 fields: "PunchInTime" and "PunchOutTime". My problem is that I need to group these by the date that has most of the work shift. For instance, if an employee started working on 8/13 at 9 PM until 8/14 6 AM is going to be 8/14 instead of 8/13 since 6 hours of the shift falls into 8/14 (Please look below). I would like to add this as a step in my query in the query editor. Does anyone know how to do this?
Any help will be highly appreciated, Thanks!
Michelle
Solved! Go to Solution.
Hi @MBisceglia ,
you can use Date.EndOfDay function to calculate duration with regards to PunchInTime and StartOfDay accordingly.
If you need help with this, please provide sample data like described here:
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Hi ImkeF,
Here's a sample of my dataset. Sorry for the format but it won't let me reply if I include a table.
Date ID PunchInDate PunchOutDate PunchInTime PunchOutTime
8/13/2020 3580 8/14/2020 8/14/2020 8/14/2020 6:01:00 AM 8/14/2020 2:01:00 PM
8/13/2020 3580 8/13/2020 8/14/2020 8/13/2020 9:49:00 PM 8/14/2020 6:00:00 AM
I ended up creating 2 Custom Columns using the following formulas:
Shift duration (PunchInTime):
Duration.Hours(Date.EndOfDay([PunchInTime])-[PunchInTime])
Shift duration (punchOutTime):
Duration.Hours([PunchOutTime]-Date.StartOfDay([PunchOutTime]))
And created a third one to select the right date:
if [PunchInDate]<>[PunchOutDate] and
[#"Shift duration (PunchInTime)"]>[#"Shift duration (punchOutTime)"]
then [PunchInDate] else
if [PunchInDate]<>[PunchOutDate] and
[#"Shift duration (PunchInTime)"]<[#"Shift duration (punchOutTime)"]
then [PunchOutDate] else
[PunchInDate]
Hi @MBisceglia ,
you can use Date.EndOfDay function to calculate duration with regards to PunchInTime and StartOfDay accordingly.
If you need help with this, please provide sample data like described here:
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Hi ImkeF,
Here's a sample of my dataset. Sorry for the format but it won't let me reply if I include a table.
Date ID PunchInDate PunchOutDate PunchInTime PunchOutTime
8/13/2020 3580 8/14/2020 8/14/2020 8/14/2020 6:01:00 AM 8/14/2020 2:01:00 PM
8/13/2020 3580 8/13/2020 8/14/2020 8/13/2020 9:49:00 PM 8/14/2020 6:00:00 AM
I ended up creating 2 Custom Columns using the following formulas:
Shift duration (PunchInTime):
Duration.Hours(Date.EndOfDay([PunchInTime])-[PunchInTime])
Shift duration (punchOutTime):
Duration.Hours([PunchOutTime]-Date.StartOfDay([PunchOutTime]))
And created a third one to select the right date:
if [PunchInDate]<>[PunchOutDate] and
[#"Shift duration (PunchInTime)"]>[#"Shift duration (punchOutTime)"]
then [PunchInDate] else
if [PunchInDate]<>[PunchOutDate] and
[#"Shift duration (PunchInTime)"]<[#"Shift duration (punchOutTime)"]
then [PunchOutDate] else
[PunchInDate]
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 6 | |
| 3 | |
| 3 | |
| 3 | |
| 2 |