Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi all! I'm rather new to Power Bi, I have a question and can't find a topic similar enough to my question, so here it is:
Does someone know the answer? Thanks in advance,
Solved! Go to Solution.
Hi Daniel,
If you are visualizing the data within a context that includes the date and employee (e.g. the table below), you could also implicitly set the time_from_actual column to "earliest" by clicking the arrow next to the time_from_actual column in the columns well.
Regards,
Tim
Proud to be a Super User!
Hi Daniel,
If you are visualizing the data within a context that includes the date and employee (e.g. the table below), you could also implicitly set the time_from_actual column to "earliest" by clicking the arrow next to the time_from_actual column in the columns well.
Regards,
Tim
Proud to be a Super User!
@timg Hi Tim, you solution worked fine. I have an overview of the starting time per employee per day.
I want to see if people are starting too late, this means after 08:000h. so in in addition to my earlier question: is it also possible to create a filter so that I only show the rows (with the 'earliest' value per day) that are after 08:00h? The standard filter aren't of any use, because they ask me to specify a date-time combination?
Hi @DanielB_NL ,
Please try the following :
1) Create a calculated column named "earliest_time_from_actual" on your table which calculates the earliest time for each employee per day.
This should give youthe intended result.
Kind regards,
Rohit
Please mark this answer as the solution if it resolves your issue.
Appreciate your kudos! 🙂
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 |
|---|---|
| 52 | |
| 38 | |
| 37 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 69 | |
| 65 | |
| 39 | |
| 33 | |
| 23 |