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Anonymous's avatar
Anonymous
Not applicable
3 years ago

Couldn't conver to number error

Hello everybody,

I've been getting a we couldn't convert to error error for a few days now.
Because the data is too big, I can't check it from excel.
I tried remove empty and remove error but it didn't work.
Also, as you can see in the picture, the "Total" column looks completely clean.
I'll be happy if you can help me.

6 Replies

  • adudani's avatar
    adudani
    Icon for Memorable Member rankMemorable Member

    Anonymous ,
    seems like this might be in other queries ( Vendor/ DimPersonnel / Kapsam..).
    If you close and apply, a query with the row number and error table along with it's columns show up.

     

    Once the row/column is identified, left-click on the error and it should show what charecters are causing this which could then be replaced.

     

    Appreciate a thumbs up if this is helpful.

    • Anonymous's avatar
      Anonymous
      Not applicable

      Hey thanks for reply first of all, 

       

      I can't get a error table. It is the one of my problem

       

      How can i get it? 

       

      I try to close and apply and it doesn't showed up. 

      • adudani's avatar
        adudani
        Icon for Memorable Member rankMemorable Member

        This is the kind of message to look for:
        While loading after close an apply ( in your example, find the previous table which is causing the error, should look like this) 

        if you click on View Errors

         

        Row number and errors in table query will show

         

         

         

        clicking on the error the values causing it will show



         

        maybe this helps: How to deal with errors in Power Query (2 ways) - YouTube

         

  • mussaenda's avatar
    mussaenda
    Icon for Community Champion rankCommunity Champion

    Hi Anonymous ,

     

    It is possible that the error is not showing up because your dataset is only showing the first 1000 rows.

    try to double click the message on lower left and select entire dataset.

     

    Please let me know if this helps.

    Thanks

     

    • Anonymous's avatar
      Anonymous
      Not applicable

      Hello, 

       

      I tried that, but my data is too large i guess. 

       

      Here the ss.