The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Hi !
I have to add a "Mean Price" row to a table, based on a simple calculation (Turnover / Volume sold). I have turnover and Quantities sold for many stores, and for each product reference, so those have to match.
Thing is : I have 1 row for Turnover, one row for Volume, and multiple other KPIs as well. In fact, I have a "KPI" Column containing the KPI i.e. Turnover, Volume and others, and a "Value" column with the numerical value.
I'd like to keep this structure but add a "Mean Price" KPI and the calculated value on new rows, keeping the other column values such as Store, regions, SKU etc. The data file is huge already, and has a lot of other columns, here's a sample.
The data :
SKU | Supplier | Store | Période | KPI | Value |
7,613E+12 | Brand1 | 9718 | P6 2023 | Volume | 37 |
7,613E+12 | Brand1 | 9711 | P6 2023 | Volume | 30 |
7,613E+12 | Brand1 | 9389 | P6 2023 | Volume | 59 |
7,613E+12 | Brand1 | 9322 | P6 2023 | Volume | 72 |
7,613E+12 | Brand1 | 9718 | P6 2023 | Turnover | 138 |
7,613E+12 | Brand1 | 9711 | P6 2023 | Turnover | 107 |
7,613E+12 | Brand1 | 9389 | P6 2023 | Turnover | 149 |
7,613E+12 | Brand1 | 9322 | P6 2023 | Turnover | 152 |
The desired outcome :
SKU | Supplier | Store | Période | KPI | Value |
7,613E+12 | Brand1 | 9718 | P6 2023 | Volume | 37 |
7,613E+12 | Brand1 | 9711 | P6 2023 | Volume | 30 |
7,613E+12 | Brand1 | 9389 | P6 2023 | Volume | 59 |
7,613E+12 | Brand1 | 9322 | P6 2023 | Volume | 72 |
7,613E+12 | Brand1 | 9718 | P6 2023 | Turnover | 138 |
7,613E+12 | Brand1 | 9711 | P6 2023 | Turnover | 107 |
7,613E+12 | Brand1 | 9389 | P6 2023 | Turnover | 149 |
7,613E+12 | Brand1 | 9322 | P6 2023 | Turnover | 152 |
7,613E+12 | Brand1 | 9718 | P6 2023 | MeanPrice | 3,73 |
7,613E+12 | Brand1 | 9711 | P6 2023 | MeanPrice | 3,57 |
7,613E+12 | Brand1 | 9389 | P6 2023 | MeanPrice | 2,53 |
7,613E+12 | Brand1 | 9322 | P6 2023 | MeanPrice | 2,11 |
I need MeanPrice to be new KPI row so I favour PowerQuery instead of a DAX measure. Can you help me for the formula ? Thanks in advance !
I highly suggest utilizing DAX measures for aggregation rather than attempting to make it work in Power Query. For this example, you could do the following:
Volume = CALCULATE(SUM('Fact'[Value]), 'Fact' [KPI] IN {"Volume"})
Turnover = CALCULATE(SUM('Fact'[Value]), 'Fact' [KPI] IN {"Turnover"})
And make other explicit measures based on what is in your KPI field, then utilize those measures to create a measure for the Mean Price.
Alternatively, you can pivot the KPI column in PowerQuery, then do SUM measures (or whatever aggregation you need) on each of the columns with their value.
Proud to be a Super User! | |
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
112 | |
80 | |
73 | |
52 | |
50 |
User | Count |
---|---|
129 | |
123 | |
78 | |
64 | |
60 |