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nathanmais
New Member

Unpivot Column Load Error

I am trying to unpivot columns to get the dates as a value access, yet once I try to load the new table in to create graphics, I get the error below. I had removed all errors with the data before the unpivot, so I am unsure why a new one comes up after only doing the one transformation. 

nathanmais_0-1656346395685.png

 

1 ACCEPTED SOLUTION
v-kkf-msft
Community Support
Community Support

Hi @nathanmais ,

 

Power Query in Power BI simply does not support values that represent errors such as: "# N / A", "# N / A". You have some "#N/A" cells thats why you get this error.

Try to replacing these cells with some data or remove them (Transform > Replace Errors should do the job of cleaning #N/A from a single column or an entire table). It should resovle your issue.

 

 

If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.
Best Regards,
Winniz
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

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2 REPLIES 2
mussaenda
Community Champion
Community Champion

Hi @nathanmais ,

 

@v-kkf-msft  is right. 

Replace the errors and you're good to go.

 

Hope this helps

v-kkf-msft
Community Support
Community Support

Hi @nathanmais ,

 

Power Query in Power BI simply does not support values that represent errors such as: "# N / A", "# N / A". You have some "#N/A" cells thats why you get this error.

Try to replacing these cells with some data or remove them (Transform > Replace Errors should do the job of cleaning #N/A from a single column or an entire table). It should resovle your issue.

 

 

If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.
Best Regards,
Winniz
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

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