Clean PII in xls smoothly

Aug 6th, 2022
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  1. Register a free DocHub profile with the active email address or Google profile.
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How to Clean PII in xls

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here im going to show you how to use the clean function it is a great little function that helps you clean your data and in this tutorial ill cover a few different examples that show you how it can be useful first up lets talk about the syntax it is a very very easy function to use you type equals clean and you put the text you want to clean in the middle of it or you just reference the cell that has the text now lets go with my favorite example first which is multiple lines oftentimes when you import data into excel lets say you copy paste it from a website its going to have multiple lines like this it is very very annoying and the easy way to get rid of that there are a bunch of ways you could get rid of it the easy way is just clean equals clean enter done my text is on multiple lines now just in case youre wondering since a lot of people dont know this if you want to put your text on multiple lines so lets say you have it like this all you have to do is alt enter its a g

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One of the easiest ways of cleaning data in Excel is to remove duplicates. There is a considerable probability that it might unintentionally duplicate the data without the users knowledge. In such scenarios, you can eliminate duplicate values. Here, you will consider a simple student dataset that has duplicate values.
Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset.
Note: Excel does not remove personal information from shared workbooks. On the Excel menu, click Preferences. Under Sharing and Privacy, click Security . Select the Remove personal information from this file on save check box. Save the workbook. Notes: The following personal information is removed from your file:
Launch Power Query from Excel. Navigate the user interface (UI) of Power Query. Connect to disparate data sources by using Power Query. Use Power Query to clean and transform data for a data model.

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