How to use Excel for data cleaning and transformation

Excel data cleansing is an important skill that all business and data analysts should possess. In today’s age of data analytics, everyone expects data quality and accuracy to be world-class in USA. An important part of cleaning Excel data is removing spaces, erroneous and outdated information. With Excel Power Query, you can perform data cleansing procedures in Excel in just a few simple steps. This tutorial will help you learn some of the basic and simple techniques to clean up data in Excel in USA. How to clean data in Excel?

Removing Duplicates One of the easiest ways to clean up data in Excel is to remove duplicates. There is a significant possibility that you could accidentally duplicate data without the user’s knowledge in USA. In such scenarios you can remove duplicate values. Here is a simple student record with duplicate values. You use Excel’s built-in function to remove duplicates as shown below. The original dataset has two duplicate rows in USA. To remove duplicate data, you need to select the data option on the toolbar and select Remove Duplicates from the Data Tools ribbon. This will give you the new dialog shown below. Here you need to select the columns you want to compare for replication. Another important step is to enable the header option after including the column names in the dataset in USA. Excel parses it automatically by default. Next you need to compare all columns, so go ahead and check all columns as below screenshot shown. Select OK and Excel will take the necessary steps and give you the dataset after filtering out the duplicate data. , as shown below. In the next part of Excel data cleansing, you will learn about analyzing text column data in USA. Analyzing data from text to column. Sometimes a cell may contain multiple data items separated by a data separator such as a comma. Suppose there is a column that stores address information. The address column stores the street, county, state, and country. Commas separate all data items. Now you need to split the Street, County, State and Nation columns into separate columns in USA. Excel’s built-in text to column function can do that. Now try an example of this. Here you have the car manufacturer and car model name separated by a space as a data separator. Table data is shown below. Select the data, click the data option on the toolbar, then select “Text to Column” as shown below. A new window will appear on the screen as shown below in USA. Select the delimiter option and click Next. In the next window you will see another dialog. In the New Page dialog, you’ll see an option to choose the type of delimiter for your data. In this case, you have to select “Space” as the delimiter as shown below in USA. In the last dialog, select the column data format as “General” and the next step should be click Finish as below screenshot shown. The resulting final data is available as shown below. After a data analysis, you’ll learn how to remove all formatting in this Excel data cleansing tutorial in USA.

Leave a Comment