Remove duplicate rows based on one column and keep the last row

Introduction

Eliminate the hassle of manual duplicate removal in Excel with our online tool. Effortlessly retain only the first unique row based on a chosen column. No need to struggle with complicated formulas or VBA coding. Simply upload your file with ease and let us handle the rest. Regardless of the size of your file or your device's capabilities, we've got you covered. Streamline your Excel tasks now and experience a faster, more efficient process!

Remove duplicate rows based on one column and keep the last row

Remove duplicate rows based on one column and keep the last row in Excel

Duplicate rows based on one column can create inconsistencies and inaccuracies in data analysis. Removing duplicates based on one column and keeping the last row ensures that the most up-to-date information is retained in the data set. This helps to maintain the integrity of the data and ensure that the results of any analysis are based on accurate and consistent information.

How to remove duplicate rows based on one column and keep the last row in Excel using Quicktran?

  • Upload your Excel file.
  • Choose the column you want to remove duplicate.
  • Click the Remove button.
  • Download the file after removal completion

How to remove duplicate rows based on one column and keep the last row in Excel?

Here is one way to remove duplicate rows based on one column and keep the last row in Microsoft Excel:

  • Select the range of cells that contain the duplicates.
  • Go to the "Data" tab in the ribbon.
  • Click on "Remove Duplicates" in the "Data Tools" group.
  • A dialog box will appear. Select the column that contains the duplicates you want to remove.
  • Check the box next to "My data has headers" if your data does have headers.
  • Click on the "OK" button.
  • Excel will remove the duplicates and display a message indicating the number of duplicates that were removed.

Note: This method will remove all duplicates except for the last instance of each duplicate. If you want to keep the first instance of each duplicate, sort the data based on the column that contains the duplicates in ascending order before removing the duplicates.

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