Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Dear community,
I’m looking for some help because I am unable to grasp what I am doing wrong. I am not a Power BI wizard so it might be something easy 😉
I want a visual that shows the number of contract hours per month and the number of hours registered and then an “easy” calculation of the % column.
The struggle is with combining the 2 tables in order to create the table-visual.
I have 2 tables:
TT_EMP_CONTRACT
This table has no index. Each row represents a contracting period using the EMP_ID, start_date, end_date and the amount of hours.
TT_HRS
This table has an index and each row represents an activity done. For each row the ACT_ID, EMP_ID, DATE and the amount of hours is registered.
In TT_EMP_CONTRACT I added a date which allowed me to create rows for each day showing the number of contracted hours per day (or rather, the contracted hours are registered in a weekly number, not in a daily, but dividing this by 5 gives me an accurate enough number).
After trying several merges or date table tricks I am still unable to create the overview I want. In most cases I miss certain rows from TT_EMP_CONTRACT after merging it (Left Outer) with TT_HRS.
(next to this I am using 2 tables for filtering purposes: TT_ACT including the activity meta data and TT_EMP including the employee data)
Any help is greatly appreciated!
Solved! Go to Solution.
Hi all,
for now i solved it after creating a date table (Excellent video from Russo: https://www.youtube.com/watch?v=FxiAYGbCfAQ&t=1309s)
Thanks!
Hi all,
for now i solved it after creating a date table (Excellent video from Russo: https://www.youtube.com/watch?v=FxiAYGbCfAQ&t=1309s)
Thanks!
Check out the July 2025 Power BI update to learn about new features.
User | Count |
---|---|
72 | |
72 | |
38 | |
31 | |
27 |
User | Count |
---|---|
91 | |
50 | |
44 | |
40 | |
35 |