Cleaning Data in Excel | Excel Tutorials for Beginners | Delete all blank rows in Big Data MS Excel
What is Data cleaning in Microsoft Excel?
Data cleaning in #excel involves identifying and correcting errors, inconsistencies, and inaccuracies in a dataset. This process typically includes removing duplicate entries, fixing formatting issues, and filling missing values to ensure accurate and reliable data analysis. Excel provides various tools and functions to facilitate these tasks, such as sorting, filtering, and formula-based corrections.
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Data cleansing, also known as data cleaning or scrubbing, is the process of identifying and fixing errors, duplicates, and irrelevant data from a raw dataset. It's part of the data preparation process and allows for accurate, defensible data that generates reliable visualizations, models, and business decisions.
Here are some ways to perform data cleansing in Microsoft Excel:
Remove duplicates
Go to the Data tab, click on Remove Duplicates, choose the columns where you want to find duplicates, and click OK.
Use the Auto Filter feature
Use the Auto Filter feature to filter out specific values or errors in your data.
Clear formats
Select the Home option, go to the Editing group in the ribbon, and select the Clear option. Then, click on the Clear Formats option.
Use the TRIM function
The Excel TRIM function takes the cell reference (or text) as the input. It removes leading and trailing spaces as well as the additional spaces between words (except single spaces).
Use Power Query
Launch Power Query from Excel, navigate the user interface (UI) of Power Query, and connect to disparate data sources. Use Power Query to clean and transform data for a data model.
You can also remove unwanted data from a cell in Excel by doing the following:
Select the cell containing the text you want to remove.
Right-click on the cell.
Choose Clear Contents from the menu.
This will remove all text and formatting from the cell, but leave any formulas intact
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Excel is one of the most used skills in the data world. In this series we will be walking through all of the most important topics that Data Analysts need to know in order to be proficient in Excel.
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Chapters:
Intro: 00:00
Diving into computer screen to start: 00:23
Grouping the column: 1:21
Deleting all: 01:46
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Visuals credits:
Video by Yan Krukau: https://bityl.co/Nmod (www.pexels.com)
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