Clean up type in raw

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Aug 6th, 2022
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How to clean up type in raw

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welcome to unit two cleaning up raw data in this unit we will look at the raw data again and do some basic formatting and formula exercises to clean up the data so itamp;#39;s ready for us to analyze now weamp;#39;re going to be using some of the Excel skills you learn in class one in terms of formulas and functions to clean up a raw data set that isnamp;#39;t exactly perfect yet for analyzing a lot of times youamp;#39;ll get data from a database or from someone else in your company and itamp;#39;s still has like extra characters or itamp;#39;s not you know filtered correctly and you just have to kind of quickly massage the data a little bit to make sure itamp;#39;s ready for you to analyze because if youamp;#39;re trying to analyze data thatamp;#39;s not correctly formatted or contains incorrect values then thatamp;#39;s not going to be useful at all right so weamp;#39;re going to do some quick um just kind of tidying up the data before we actually analyze it and this is a

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TRIM Function Using the TRIM function can eliminate these excessive blank spaces. Select the data cells with excessive blank spaces and tab spaces. Now, select a new cell adjacent to the first cell. Apply the TRIM() function and drag the cell as shown below.
Delete one or more names On the Formulas tab, in the Defined Names group, click Name Manager. In the Name Manager dialog box, click the name that you want to change. Select one or more names by doing one of the following: To select a name, click it. Click Delete. Click OK to confirm the deletion.
The basics of cleaning your data Insert a new column (B) next to the original column (A) that needs cleaning. Add a formula that will transform the data at the top of the new column (B). Fill down the formula in the new column (B). Select the new column (B), copy it, and then paste as values into the new column (B).
Data cleaning is the process of correcting these inconsistencies. Cleaning data might also include removing duplicate contacts from a merged mailing list. A common need is removing or correcting email addresses that dont use the correct syntaxlike missing a .com or not having an @ symbol.
We must clean this text by removing the non-printable characters, line breaks, and trailing and leading additional spaces. Then, press the Enter key. =CLEAN(C3) will remove non-printable characters. TRIM(..) will remove unnecessary spaces after the Excel CLEAN function has removed the non-printable characters.
Use Sheets Smart Cleanup to prepare your data for analysis At the top, click Data Data cleanup. Cleanup suggestions. If you import data into a sheet and suggestions are detected, a Data cleanup notification will appear on the bottom right click See all.

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