Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Sign up nowGet Fabric certified for FREE! Don't miss your chance! Learn more
Hello there,
I hope that somebody can help me. I have the dreaded “Chart data contains not a number (NaN) values.”, message and I don’t think that I am dividing by Zero. Here is my DAX Code:
Inventory = SUMX(SUMMARIZE('mvdt V_PSI_DailyInventory',[GCAS_Code],[Inventory_Date],"Inventory Qty", if(FIRSTNONBLANK(BUOM[BUOM],1)="CS",AVERAGE([Cases_Inv]),if(FIRSTNONBLANK(BUOM[BUOM],1)="IT",average([Cases_Inv])*AVERAGE([ItemPerCase]),average([Cases_Inv]) * AVERAGE([SU_Factor])))),[Inventory Qty])
Is there a quick fix for this J
Hi @Anonymous,
Could you please check whether all your columns are in number format? Kindly share your pbix to me to have a check if possbile.
Regards,
Frank
Hi @Anonymous,
Has your issue been solved? If any other question, feel free to let me know please.
Regards,
Frank
Thank you for your reply. I wasn't able to fix this issue yet.
From the above DAX code I looked at each column and found the following data:
[GCAS_Code] = Only Numbers (e.g. 82845734)
[Inventory_Date] = Only Numbers (e.g 12/6/2018)
* [Cases_Inv] = Contains '0' or 'NaN' values
[BUOM] = Contains (Blank) or 'CS' text values
[ItemPerCase] = Contains (Blank) or Number values
[SU_Factor] = Contaions Number values
[Inventory Qty] = Contains Number values
The Cases_Inv Column acutally has 'Nan' writen in it, which might be causing the problem.
Thje Cases_Inv is a calcualted column and the DAX is as follows:
Cases_Inv = if([BUoM]="CS",[Inventory_Qty],[Inventory_Qty]/[ItemPerCase])
Do you think I could change anything in the above, so I don't get the 'NaN' result?
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 64 | |
| 63 | |
| 49 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 122 | |
| 120 | |
| 38 | |
| 36 | |
| 29 |