The trick is to use the Transpose transformation, which will transpose the table so columns and rows will be switched (Any cell that is originally in row X and column Y will now be in a row Y and column X). Repeat the steps from the previous technique starting from the creation of the FnRemoveEmpt圜olumns function (unless you are working on the same file, in which case the query is already created). In the Home tab, click on Transform data. Open the Power BI report that contains a table with empty columns and rows. Let’s take our challenge one step further, and remove both empty columns and empty rows. You can now see in the preview window, with the condensed table. If you don’t, check the Formula Bar checkbox in the View tab.Ī new step will be created with a reference to the previous step: = #"Changed Type"Ĭhange the formula as follows, invoking the function FnRemoveEmpl圜olumnswith the table from the previous step. Now, in the Queries pane on the left, select the query of the table with empty rows and columns. Paste any of the two formulas above to the Advanced Editor dialog box, and click Done. (tbl) =>Įach List.MatchesAny(Table.Column(tbl, _), each _ null) If you are interested in a version without List.Accumulate iteration, here is another approach that uses Table.SelectColumns (Thank you, Imke Feldmann for the idea). To learn more about List.Accumulate go here. It uses List.Accumulate to iterate over the columns, and removes the empty ones. Note: This formula is a query function that receives a table and removes its empty columns. (tbl, columnName) => fnMyAccumulator(tbl, columnName) If List.MatchesAll(Table.Column(tbl, columnName), each _ is null) then (tbl as table, columnName as text) as table => In Home tab of the Power Query Editor, click Advanced Editor. Not sure how? You will find the query name in the right pane. Rename the new query to FnRemoveEmpt圜olumns. Now that you are in Power Query Editor, in the Home tab, click New Source, then select Blank Query. Open the Power BI report that contains a table with empty columns. Removing empty columns from a table using a custom function This is probably the easiest way to remove empty rows and columns, but keep reading the other techniques, to find more approaches for the same challenge. In the Home tab, click Close & Apply to load your table onto Power BI. Next, in Home tab, click Remove Rows, then click Remove Blank Rows. To repeat the same process on the empty columns, we can transpose the table, because we don’t have Remove Blank Columns in the UI. In Home tab, click Remove Rows, then click Remove Blank Rows. In Power Query Editor, select the query of the table with the blank rows and columns. Open the Power BI report that contains a table with empty rows and columns. Hint: We will performs Unpivot and Pivot on all the columns. Finally, in the fourth part, we will learn a neat trick to remove empty rows and columns.In the third part, we will apply the same function on the transposed table to clean the rows.While you may prefer the first technique, if you are an advanced user, and are familiar with Power Query formula language (M), you may find there a new and useful way to use List.Accumulate. In the second part, we will apply a function that cleans all of the empty columns.In the first part, we will show you the simplest way ( Thank you Maxim for suggesting this technique).This tutorial includes four techniques to clean empty rows and columns: To resolve our challenge, We’ll use Power Query in Power BI Desktop. You don’t want to mess with VBA (I will show you a better way to do it, anyway).You need to import the table and condense it on an ongoing basis. The table is too big to scroll down or right and seek for the empty values.You can now say, “Oh, it’s easy, I can manually remove the empty rows and columns, what’s the big deal?”, and to answer you, I would add these challenges: I have also updated the screenshots and data (with some very important pop culture references).įor example, In the screenshot above, we would need to remove all the empty rows and columns that are highlighted in yellow. But if you’d prefer removing empty rows and columns using Power BI Desktop, you can follow this tutorial.
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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). Removing empty rows or columns from tables is a very common challenge of data-cleaning. This is Maya (you can find me on Linkedin here), with my second post on DataChant: a revision of a previous tutorial.
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