On the Home tab, in the Reduce rows group, select Remove rows. To remove rows with errors in Power Query, first select the column that contains errors. The value inside that cell was NA, but when you transformed that column to a whole number Power Query couldn't convert NA to a number, so it displays the following error. In this query, you have a Sales column that has one cell with an error caused by a conversion error. When encountering any cell-level errors, Power Query provides a set of functions to handle them either by removing, replacing, or keeping the errors.įor the next sections, the provided examples will be using the same sample query as the start point. More information: Data profiling tools Handling errors at the cell level The data profiling tools can help you more easily identify cell-level errors with the column quality feature. Selecting the white space in the cell displays the error pane underneath the data preview. Cell-level errorĪ cell-level error won't prevent the query from loading, but displays error values as Error in the cell.
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For more information about how to diagnose this issue, go to Data privacy firewall. This error can be caused by a number of reasons, such as the data privacy levels between data sources or the way that these data sources are being combined or merged. When combining or merging data between multiple data sources, you might get a Formula.Firewall error such as the one shown in the following image. This will allow your query to run without this error. For this example, because the correct Date column header already comes from your text file, you can just remove the step that renames the column. Possible solutions: There are multiple solutions for this case, but they all depend on what you'd like to do. It displays the error shown in the following image. Power Query is unable to find a column heading named Column, so it can't rename any columns. But there was a change in the original text file, and it no longer has a column heading with the name Column because it was manually changed to Date. In your query, you have a step that renames that column to Date.
This error is commonly triggered when a step makes a direct reference to a column name that doesn't exist in the query.Įxample: You have a query from a text file where one of the column names was Column. If the Edit settings button is available in the error pane, you can select it and change the file path. As user B, you can change the file path to be a local copy of the same text file. Possible solutions: You can change the file path of the text file to a path that both users have access to. When this person tries to execute the query, they get a DataSource.Error because there's no drive D in their environment. User A shares the query with user B, who doesn't have access to drive D. This error commonly occurs when the data source is inaccessible by the user, the user doesn't have the correct credentials to access the data source, or the source has been moved to a different place.Įxample: You have a query from a text tile that was located in drive D and created by user A. You can select the Go to error button, if available, to view the first step where the error occurred. In all cases, we recommend that you take a close look at the error reason, error message, and error detail to understand what's causing the error. In the example above, the error detail is Column. Error detail: The section directly after the Details: string.In the example above, the error message is The column 'Column' of the table wasn't found. Error message: The section directly after the reason.In the example above, the error reason is Expression.Error. Error reason: The first section before the colon.Step-level errorĪ step-level error prevents the query from loading and displays the error components in a yellow pane. This article provides suggestions for how to fix the most common errors you might find at each level, and describes the error reason, error message, and error detail for each. In Power Query, you can encounter two types of errors:
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