Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
Hi,
I have a following data set:
Job Posting Date | Manager Review Date | Candidate | Req ID |
2.03.2022 | 7.03.2022 | Jan Kowalski | A202011 |
7.03.2022 | 20.03.2022 | Mark Simith | A202011 |
13.04.202 | 21.04.2022 | Anna Pain | A202011 |
15.04.2022 | 18.04.2022 | Rob Kowalsky | A181030 |
22.05.2022 | 26.05.2022 | Mateusz Lubczyk | A340923 |
2.06.2022 | 5.06.2022 | Jin Xio | A340923 |
Now, I need to calculate Average Time to Shortlist (Time to Shortlist = time from Job Posting to submission of the first candidate per Req ID to the Manager Review).
I was able to calculate average time from job posting to manager review for all cadidates but I don't know how to do it only for the first candidate per unique job ID.
I would appreaciate your advise 🙂
Solved! Go to Solution.
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi @KLKasia,
Did the above suggestion help with your scenario? if that is the case, you can consider Kudo or accept it to help others who faced similar requirements.
If these also don't help, please share more detailed information to help us clarify your scenario to test.
How to Get Your Question Answered Quickly
Regards,
Xiaoxin Sheng
Hi @KLKasia,
Did the above suggestion help with your scenario? if that is the case, you can consider Kudo or accept it to help others who faced similar requirements.
If these also don't help, please share more detailed information to help us clarify your scenario to test.
How to Get Your Question Answered Quickly
Regards,
Xiaoxin Sheng
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
81 | |
76 | |
61 | |
37 | |
33 |
User | Count |
---|---|
99 | |
56 | |
51 | |
42 | |
40 |