Possible solutions: After identifying the row with the error, you can either modify the data source to reflect the correct value rather than NA, or you can apply a Replace error operation to provide a value for any NA values that cause an error. From the sample provided, copy the first line of code and paste that above the first line of code in your query. In each row, you will find pairs of Attribute and Value. For example, if "Index 1" has found the value in "A1" and the same value exists next to A2 column then it should remove it. A cell-level error won't prevent the query from loading, but displays error values as Error in the cell. And here is the query function with the steps above. As an example, to remove the empty columns, the code would look something like: =Table.SelectColumns(Source, List.Select(Table.ColumnNames(Source), each List.MatchesAll(Table.Column(Source, _), each _ null and Text.Trim(_) ))), Copyright 2021 DataChant Consulting LLC But if youd prefer removing empty rows and columns using Power BI Desktop, you can follow this tutorial. For more information see Create, load, or edit a query in Excel. To learn more about List.Accumulate go here. It supports us and helps us to continue making more How to Power BI videos! Now, in the Queries pane on the left, select the query of the table with empty rows and columns. For more information see Create, load, or edit a query in Excel. This is probably the easiest way to removeempty rows and columns, but keep reading the other techniques, to find moreapproaches for the same challenge. Why do men's bikes have high bars where you can hit your testicles while women's bikes have the bar much lower? Power Query can serve as a good auditing tool to identify any rows with errors even if you don't fix the errors. Next, we will filter the rows where the value is equal to "Keep Rows". Rename the new query to FnRemoveEmptyColumns. For this example, you want to remove the GUID and Report created by columns, so you clear the check boxes for those fields. There are two methods to remove null or blank values: Clear the (Select All)checkbox to deselect all columns. The tutorial in mention, which happens to be one of our most popular tutorials on DataChant, addressed how to remove empty columns and rows using Excel (you can find the tutorial here).
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