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 dateJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
I wish to sort and count the data as below.
I have Availability data from 01-01-2023 - 01-02-2024 and wish to know the average and sort it as shown in the left MultirowCard.
I also wish to know the average Availability for the period sorted by age. (Right - MultirowCard)
Solved! Go to Solution.
see attached. Please check the Power Query part - there is some data preparation required.
Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
Do not include sensitive information or anything not related to the issue or question.
If you are unsure how to upload data please refer to https://community.fabric.microsoft.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-...
Please show the expected outcome based on the sample data you provided.
Want faster answers? https://community.fabric.microsoft.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447...
Table Data_
ID | Date | IBN | Availability |
5016 | 01-01-2023 | 01-02-2014 | 100% |
5017 | 01-01-2023 | 01-04-2010 | 95% |
5018 | 01-01-2023 | 01-09-2000 | 82% |
5019 | 01-01-2023 | 01-07-1995 | 100% |
5016 | 01-02-2023 | 01-02-2014 | 5% |
5017 | 01-02-2023 | 01-04-2010 | 33% |
5018 | 01-02-2023 | 01-09-2000 | 95% |
5019 | 01-02-2023 | 01-07-1995 | 100% |
Dax Interval
Interval | Average Availability |
95-100% | 1 |
85-95% | 1 |
65-85% | 0 |
40-65% | 2 |
20-40% | 0 |
0-20% | 0 |
Dax age (Ex. 01/01-1985 - 31/12/1989)
Age | Average Availability |
1985-1990 | |
1990-1995 | |
1995-2000 | 100% |
2000-2005 | 89% |
2005-2010 | |
2010-2015 | 58% |
2015-2020 |
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
14 | |
9 | |
7 | |
7 | |
6 |
User | Count |
---|---|
22 | |
11 | |
10 | |
10 | |
8 |