Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
I have a query pulling a bunch of thermocouple data from some oven equipment per part we will call this table CAC_AllData. A second query that is pulling the what thermocouples were used for that part table is call CAC_Attach.
The issue i am having is that the CAC_Alldata table creates columns for all 260 thermocouples, but the part only uses 10, and the 10 used could be different every time. So because of this I created the SNAttach query to determine which TCs were used on the part.
What i am trying to do is create a new table with DataID number Serial number and the 10 thermocouples used.
I can determine which TC was used by using a lookup formula
Solved! Go to Solution.
Hi ,
can you try with below debug steps to solve your issue.
Create a calculated column in the unpivoted table:
IsUsed =
CALCULATE(
COUNTROWS(UsedAttachments),
FILTER(
UsedAttachments,
UsedAttachments[SerialNumber] = CAC_Unpivoted[SerialNumber] &&
UsedAttachments[AttachmentName] = CAC_Unpivoted[AttachmentName]
)
) > 0
Use this column to filter your visuals to show only rows where IsUsed = TRUE
Alternatively, create a calculated table with only matching rows:
FilteredPTCData =
FILTER (
CAC_Unpivoted,
CALCULATE (
COUNTROWS (UsedAttachments),
UsedAttachments[SerialNumber] = CAC_Unpivoted[SerialNumber],
UsedAttachments[AttachmentName] = CAC_Unpivoted[AttachmentName]
) > 0
)
If it is solved, please mark the helpful reply or share your solution and Accept it as solution, it will be helpful for other members of the community who have similar problems as yours to solve it faster.
Regards,
Chaithanya.
Hi @TommySidds ,
we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?
If our response addressed, please mark it as Accept as solution and click Yes if you found it helpful.
Regards,
Chaithanya.
Hi @TommySidds ,
we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?
If our response addressed, please mark it as Accept as solution and click Yes if you found it helpful.
Regards,
Chaithanya.
Hi ,
can you try with below debug steps to solve your issue.
Create a calculated column in the unpivoted table:
IsUsed =
CALCULATE(
COUNTROWS(UsedAttachments),
FILTER(
UsedAttachments,
UsedAttachments[SerialNumber] = CAC_Unpivoted[SerialNumber] &&
UsedAttachments[AttachmentName] = CAC_Unpivoted[AttachmentName]
)
) > 0
Use this column to filter your visuals to show only rows where IsUsed = TRUE
Alternatively, create a calculated table with only matching rows:
FilteredPTCData =
FILTER (
CAC_Unpivoted,
CALCULATE (
COUNTROWS (UsedAttachments),
UsedAttachments[SerialNumber] = CAC_Unpivoted[SerialNumber],
UsedAttachments[AttachmentName] = CAC_Unpivoted[AttachmentName]
) > 0
)
If it is solved, please mark the helpful reply or share your solution and Accept it as solution, it will be helpful for other members of the community who have similar problems as yours to solve it faster.
Regards,
Chaithanya.
Hello @TommySidds,
If you're building a summary table, you can pivot it back using this DAX. Could you please try this approach:
ResultTable =
VAR Base =
SELECTCOLUMNS (
FILTER (
Unpivoted_CAC_AllData,
Unpivoted_CAC_AllData[ThermocoupleName] IN
SELECTCOLUMNS (
FILTER (
CAC_ATTACH,
CAC_ATTACH[SerialNumber] = Unpivoted_CAC_AllData[SerialNumber]
),
"TC", CAC_ATTACH[AttachmentName]
)
),
"DataPointID", [DataPointID],
"SerialNumber", [SerialNumber],
"Thermocouple", [ThermocoupleName],
"Value", [Value]
)
RETURN
SUMMARIZECOLUMNS (
Base[DataPointID],
Base[SerialNumber],
"TC1", CALCULATE(MAX(Base[Value]), Base[Thermocouple] = "TC1"),
"TC2", CALCULATE(MAX(Base[Value]), Base[Thermocouple] = "TC2"),
...
"TC10", CALCULATE(MAX(Base[Value]), Base[Thermocouple] = "TC10")
)
I couldnt get it to work, I am also still learning PowerBI and DAX.
Here is a portion of the raw data CAC_AllData (Note this table will have over 260 PTCXXX items and i can use any 10 PTCs at any time)
| SerialNumber | PTC1 | PTC10 | PTC100 | PTC101 | PTC102 | PTC103 | PTC104 | PTC105 | PTC106 | PTC107 | PTC108 | PTC109 | PTC11 | PTC110 | PTC111 | PTC112 |
| SN0001 | 0 | 0 | 0 | 0 | 72.30000305 | 72.8 | 72 | 71.900002 | 72.400002 | 0 | 0 | 0 | 0 | 0 | 0 | 73.5 |
| SN0001 | 0 | 0 | 0 | 0 | 72.30000305 | 72.8 | 72 | 71.900002 | 72.400002 | 0 | 0 | 0 | 0 | 0 | 0 | 73.5 |
| SN0001 | 0 | 0 | 0 | 0 | 72.40000153 | 72.9 | 72.1 | 71.900002 | 72.400002 | 0 | 0 | 0 | 0 | 0 | 0 | 73.5 |
| SN0001 | 0 | 0 | 0 | 0 | 72.40000153 | 72.8 | 72.1 | 71.900002 | 72.5 | 0 | 0 | 0 | 0 | 0 | 0 | 73.5 |
| SN0001 | 0 | 0 | 0 | 0 | 72.30000305 | 72.9 | 72.1 | 72 | 72.5 | 0 | 0 | 0 | 0 | 0 | 0 | 73.599998 |
| SN0001 | 0 | 0 | 0 | 0 | 72.40000153 | 72.8 | 72.1 | 72 | 72.5 | 0 | 0 | 0 | 0 | 0 | 0 | 73.699997 |
| SN0001 | 0 | 0 | 0 | 0 | 72.5 | 72.8 | 72.1 | 72.099998 | 72.599998 | 0 | 0 | 0 | 0 | 0 | 0 | 73.800003 |
| SN0001 | 0 | 0 | 0 | 0 | 72.59999847 | 73 | 72.3 | 72.199997 | 72.800003 | 0 | 0 | 0 | 0 | 0 | 0 | 73.900002 |
| SN0001 | 0 | 0 | 0 | 0 | 72.80000305 | 73.2 | 72.5 | 72.300003 | 72.900002 | 0 | 0 | 0 | 0 | 0 | 0 | 74.199997 |
| SN0001 | 0 | 0 | 0 | 0 | 73.09999847 | 73.4 | 72.7 | 72.5 | 73.199997 | 0 | 0 | 0 | 0 | 0 | 0 | 74.400002 |
| SN0001 | 0 | 0 | 0 | 0 | 73.30000305 | 73.6 | 73 | 72.699997 | 73.400002 | 0 | 0 | 0 | 0 | 0 | 0 | 74.800003 |
| SN0001 | 0 | 0 | 0 | 0 | 73.59999847 | 73.8 | 73.2 | 73 | 73.699997 | 0 | 0 | 0 | 0 | 0 | 0 | 75.099998 |
| SN0001 | 0 | 0 | 0 | 0 | 73.90000153 | 73.9 | 73.5 | 73.199997 | 73.900002 | 0 | 0 | 0 | 0 | 0 | 0 | 75.400002 |
| SN0001 | 0 | 0 | 0 | 0 | 74.19999695 | 74.2 | 73.8 | 73.5 | 74.300003 | 0 | 0 | 0 | 0 | 0 | 0 | 75.800003 |
| SN0001 | 0 | 0 | 0 | 0 | 74.59999847 | 74.6 | 74.3 | 73.900002 | 74.800003 | 0 | 0 | 0 | 0 | 0 | 0 | 76.400002 |
| SN0001 | 0 | 0 | 0 | 0 | 75.19999695 | 75.1 | 74.9 | 74.400002 | 75.400002 | 0 | 0 | 0 | 0 | 0 | 0 | 77 |
| SN0001 | 0 | 0 | 0 | 0 | 75.90000153 | 75.6 | 75.4 | 74.900002 | 75.900002 | 0 | 0 | 0 | 0 | 0 | 0 | 77.900002 |
| SN0001 | 0 | 0 | 0 | 0 | 76.59999847 | 76.4 | 76.2 | 75.599998 | 76.699997 | 0 | 0 | 0 | 0 | 0 | 0 | 78.699997 |
Here is a query that tell me what attachments were used for that spefic serial number. I also created a rank formula to rank the TCs used. That way i could use that to look up TC 1, TC 2.....
| SerialNumber | AttachmentName | Rank |
| SN0001 | PTC102 | 1 |
| SN0001 | PTC103 | 2 |
| SN0001 | PTC104 | 3 |
| SN0001 | PTC105 | 4 |
| SN0001 | PTC106 | 5 |
| SN0001 | PTC112 | 6 |
| SN0001 | PTC113 | 7 |
| SN0001 | PTC114 | 8 |
| SN0001 | PTC116 | 9 |
| SN0001 | PTC118 | 10 |
I want to be able to create a table that only pulls the data from the TCs that were used. In excel i can do a lookup that will use the TC name in the attach table and set that as my lookup column. I just cant figure out how to do that with DAX/PowerBI. Maybe there is even a better way to do this.
| PTC102 | PTC103 | PTC104 | PTC105 | PTC106 | ||
| DataPointID | Serial Number | TC1 | TC2 | TC3 | TC4 | TC5 |
| 334638 | SN0001 | 72.3 | 72.8 | 72.0 | 71.9 | 72.4 |
| 334639 | SN0001 | 72.3 | 72.8 | 72.0 | 71.9 | 72.4 |
| 334640 | SN0001 | 72.4 | 72.9 | 72.1 | 71.9 | 72.4 |
| 334641 | SN0001 | 72.4 | 72.8 | 72.1 | 71.9 | 72.5 |
| 334642 | SN0001 | 72.3 | 72.9 | 72.1 | 72.0 | 72.5 |
| 334643 | SN0001 | 72.4 | 72.8 | 72.1 | 72.0 | 72.5 |
| 334644 | SN0001 | 72.5 | 72.8 | 72.1 | 72.1 | 72.6 |
| 334645 | SN0001 | 72.6 | 73.0 | 72.3 | 72.2 | 72.8 |
| 334646 | SN0001 | 72.8 | 73.2 | 72.5 | 72.3 | 72.9 |
| 334647 | SN0001 | 73.1 | 73.4 | 72.7 | 72.5 | 73.2 |
| 334648 | SN0001 | 73.3 | 73.6 | 73.0 | 72.7 | 73.4 |
| 334649 | SN0001 | 73.6 | 73.8 | 73.2 | 73.0 | 73.7 |
| 334650 | SN0001 | 73.9 | 73.9 | 73.5 | 73.2 | 73.9 |
| 334651 | SN0001 | 74.2 | 74.2 | 73.8 | 73.5 | 74.3 |
| 334652 | SN0001 | 74.6 | 74.6 | 74.3 | 73.9 | 74.8 |
| 334653 | SN0001 | 75.2 | 75.1 | 74.9 | 74.4 | 75.4 |
hopefully this helps.
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 39 | |
| 36 | |
| 33 | |
| 31 | |
| 28 |
| User | Count |
|---|---|
| 129 | |
| 88 | |
| 79 | |
| 68 | |
| 63 |