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 following issue.
There is a stock calculated over time based on a table with stock movement.
There is a measure calculating the stock and this is working fine:
The next step for me is to calculate stock value over time taking parts prices from another table:
It seems to be easy calculation: stock_value = parts_qty * part_price but I can not manage it. I would like to display changes over time. PBIX attached here
Solved! Go to Solution.
Thanks for the reply, actually in the original file the issue was much simpler. There was a mess in data types. After data types correction everything sarted to work as intended.
Hi @Tomek1982,
You can use the LOOKUPVALUE DAX function to pull in values of Part Price from the other table and then calculate Stock Value. Refer:
https://learn.microsoft.com/en-us/dax/lookupvalue-function-dax
Works for you? Mark this post as a solution if it does!
Consider taking a look at my blog: Forecast Period - Previous Forecasts
I m not understanding in 100% but if you want to use 2 different tables in calculation, than you must create relationships between them.
In dax, use logical funtion to connect them. = related or relatedtable
Thanks for the reply, actually in the original file the issue was much simpler. There was a mess in data types. After data types correction everything sarted to work as intended.
Hi,
How did you in the end make the calculation to get the stock value?
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 |
---|---|
109 | |
76 | |
65 | |
52 | |
51 |
User | Count |
---|---|
128 | |
117 | |
78 | |
65 | |
63 |