How to delete rows in excel that are blank?

Select “Blanks” and click OK. Excel has now selected all of the blank cells in the column. Now carefully right-mouse click on one of the empty cells, and choose Delete from the menu. Then select Entire row, and click the OK button.

You can delete the blank rows in the selected range, in active sheet, in selected sheets and in all sheets of Excel. Tip : If there is a row which looks like a blank row but it contains invisible characters in its cells, this utility cannot delete such blank rows.

In the Go To Special dialog, check Blanks option. Click OK, now all blank cells in the selection have been selected. Click Home tab, in the Cells group, click Delete > Delete Sheet Rows. Now the rows with blank cells have been removed.

How to remove empty rows with go to special in Excel?

Now please do as below steps to remove empty rows with Go To Special rows: 1. Select the range you want to remove blank rows, click Home tab, then in Editing group, click Find & Select > Go To Special. Click OK, now all blank cells in the selection have been selected. Click Home tab, in the Cells group, click Delete > Delete Sheet Rows.

How do I delete multiple rows in a table in Excel?

To delete multiple contiguous blank rows using a keyboard shortcut : Drag across the row headings using a mouse or select the first row heading and then Shift-click the last row heading. Press Ctrl + – (minus sign at the top right of the keyboard) to delete the selected rows.

How do I remove a row from a table in Excel?

Right-click on any of the selected cells and click on ‘Delete Row’ In the dialog box that opens, click on OK. At this point, you will see no records in the dataset. Click the Data tab and click on the Filter icon.

How do I filter out blank rows in a table?

To filter for blank rows, we’ll click the filter arrow in column A, uncheck (Select All), and select (Blanks): As you can see, this leaves a few rows that have blanks in column A but data in other rows. We’ll repeat the filtering for blanks in columns B and C to get rid of those rows:.