The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
I have a log of changes that took place for a series of items. I need to determine what the last change was and to what value it was set on the first day of changes being made for each individual item.
Table with expected results outlined below.
Item name | Datetime US (simplified here) | Original Value | New Value |
Item1 | 01/01/24 09:00 | null | 100 |
Item1 | 01/01/24 10:00 | 100 | 50 |
Item1 | 02/01/24 09:00 | 50 | 200 |
Item 2 | 02/01/24 09:00 | null | 1000 |
Item 2 | 03/01/24 12:00 | 1000 | 2000 |
Item 3 | 05/01/24 10:00 | 400 | 300 |
Item 3 | 05/01/24 10:01 | 300 | 500 |
Item 3 | 06/01/24 09:00 | 500 | 550 |
Item 4 | 01/01/24 11:00 | null | 750 |
I have a good idea of how to do this in SQL but as this data comes straight from source I need to resort to using either DAX or M-Query for this task, and I would appreciate any help to achieve this!
Solved! Go to Solution.
For fun only, to showcase the power of Excel formulas,
Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
User | Count |
---|---|
80 | |
78 | |
37 | |
34 | |
31 |
User | Count |
---|---|
93 | |
81 | |
60 | |
49 | |
49 |