As a database gets bigger, it’s common for there to be a lot of duplicate rows in it.Įven if your huge database only has a few duplicate records, those few can cause a lot of trouble. Even though Microsoft Excel is mostly used for calculations, its sheets are often used as databases to keep track of inventories, make sales reports, or keep mailing lists. If you want to know more information about this Visit Official Microsoft Excel Support site. It can be a problem if they are not found and dealt with properly. The more records there are in a dataset, the more likely it is that there will be duplicates. When you combine different tables or give a lot of people access to the same document, your spreadsheet might have entries that are repeated. People who work with large datasets often need to get rid of duplicates in Excel. Microsoft Excel is a popular program, especially for Business Analysis, but it can be hard to get rid of and get rid of duplicate data. This article will show you how to remove duplicates in MS Excel.

How to replace duplicates with blanks in MS Excel.

So next time you encounter duplicate data in Excel, you'll know exactly how to handle it. Excel offers a variety of tools to help you streamline your workflow and make data management a breeze. Still, following the steps and additional tips outlined in this article, you can quickly identify and duplicate group data in your Excel data set. Grouping duplicates in Excel can be a time-consuming task. You can use the ' COUNTIF' formula for a data set of customer names wanting to identify duplicate names. If you need to identify duplicates in a specific column, you can use a formula. Pivot tables allow you to group and summarize data more flexibly than the 'Remove Duplicates' feature. It can be helpful if you want to keep duplicate data in your data set but need to identify it for analysis.Īnother way to group duplicate Excel data is by using a pivot table. In addition to using the 'Remove Duplicates' feature, you can also use conditional formatting to highlight duplicate data. Use Conditional Formatting to Highlight Duplicates Each unique combination of values appears only once in the data set.Īdditional Tips to Save Time and Improve Workflow You should see that Excel has removed duplicate rows, duplicate data, duplicate lines, or duplicate records based on the selected columns. Step 7: Review the resultsįinally, review the results to ensure that Excel has correctly grouped duplicates. Click 'OK' in the 'Remove Duplicates' dialog box to remove the duplicates. You can review the duplicate data and make any necessary changes before removing the duplicates. Excel will show you a preview of the duplicate data and highlight the duplicate rows in your data set.

Once you've selected the criteria for removing duplicates, click 'OK' to preview the duplicate data. You can also choose to keep the first or last instance of the duplicate data or select 'Unique records only' to remove all duplicates. You can either select all columns or choose specific columns to compare. Step 5: Choose Criteria for Removing DuplicatesĪfter selecting the columns, you must choose the criteria for removing duplicates.

For example, if you have a data set of customer names and addresses, you may want to select the 'Name' and 'Address' columns. Select the columns that contain the data you want to compare for duplicates. In the 'Remove Duplicates' dialog box, you'll see a list of columns in your data set. From there, click the 'Remove Duplicates' button in the 'Data Tools' group. Once you have selected the range of cells, click the 'Data' tab in the Excel ribbon. Step 3: Click on the 'Remove Duplicates' button To group duplicates in Excel, you first need to select the data range that contains the duplicates.

The range of cells can be a single or multiple columns. Next, select the range of cells that you want to group duplicates. Free Download How to group duplicates in Excel with MS Excel Step 1: Open the Excel fileįirst, open the Excel file containing the data you want to group duplicates.

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