And that's exactly the subject of this tutorial. However, there may be situations when you may want to ultimately eliminate duplicates in your Excel sheets. In a couple of our recent articles, we discussed various ways to identify duplicates in Excel and highlight duplicate cells or rows. So, before using a database, it makes sense to check it for duplicate entries, to make sure you are not wasting time on repeating your efforts. And even if your huge database contains just a handful of identical records, those few duplicates can cause a whole lot of problems, for example mailing multiple copies of the same document to the same person, or calculating the same numbers more than once in a summary report. You will learn a few different techniques to find and delete duplicate values with or without first occurrences, get rid of duplicate rows, detect absolute duplicates and partial matches.Īlthough Microsoft Excel is primarily a calculation tool, its sheets are often used as databases to keep track of inventories, make sales reports or maintain mailing lists.Ī common problem that occurs as a database grows in size is that many duplicate rows appear in it. We clicked on the Deduplicate button, again from the toolbar above and after a few fraction of seconds the list was filtered and duplicates have been removed.The tutorial explains how to remove duplicates in Excel 2019, Excel 2016, Excel 2013, and Excel 2010. Test list that we used contains the three lines which are the same. Use it to select the list from where you want to filter duplicates. Start by clicking on the Open File button from toolbar. How to Find and Delete Duplicate Lines from Lists with Text Deduplicator Plus? ![]() Here are few pointers to help you get started. Text Deduplicator Plus can be used to filter your lists from duplicates automatically and easily. It can be personal contacts, databases, link lists, anything, and everything. Supported formats which can be opened and from where duplicates can be deleted are: TXT and LOG.ĭuplicate lines can cause a lot of problems if you for example need to filter data lists of any kind. ![]()
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