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.
Dear all,
I have an issue with a Power BI File using big data sources. After a quick analysis, I realised that my DAX queries are the reason behind the slowness of my file, so I'm trying to convert most of my DAX queries to the Power query editor.
I have an issue with the calcultion of Standard deviation for a DATA column that I have to calculate by Grouped data and I can't use the "Group by" function, I need to have an additional calumn containing the standard deaviation .
Here below the DAX formula that was percectly working for me and that I want to convert to Power query :
TRT_STD =
CALCULATE ( STDEV.S ( ASSESSMENT [DATA] ), ALLEXCEPT ( Table, Table[group.data] ) )
Thank you in advance for your help !
Although sometimes it is necessary to pre-calculate stuff to improve performance, I would stick with DAX and optimize your model if necessary. This will make your calculations responsive to slicers and overall provide more flexibility in reporting/analysis. Is your model a star schema? How many values in your visual?
Pat
User | Count |
---|---|
86 | |
84 | |
36 | |
35 | |
32 |
User | Count |
---|---|
95 | |
75 | |
66 | |
54 | |
53 |