One of the common problems with huge data is “Duplicates” and the bigger problem is to identify and remove these duplicates.
In this article, we will be sharing 4 ways to delete duplicate records from your data.
In the first method, let’s make use of Excel’s inbuilt functionality of removing duplicates.
Note: If your data has extra spaces at the end of the value (for example ‘Friedrick’ and ‘Friedrick’ then Excel may not be able to detect those duplicates. In this method, we will use VBA code to call the Remove Duplicates function and delete the duplicate records
Following is the VBA Syntax and sample VBA macro command to delete duplicate rows from the worksheet using VBA. We are using the Remove Duplicates method of the Cells object of the worksheet.
Cells.RemoveDuplicates Columns:=Array(
[Column Numbers])
Here Cells.Remove Duplicates command tells excel to remove the duplicated based on the specified list of column array. Columns:=Array([Column Numbers]) will help us to specify the list of columns to combine and treat it as a duplicate record.
Sub sbRemoveDuplicates() Cells.RemoveDuplicates Columns:=Array(1) End Sub
'VBA code to remove duplicates from data with headers Sub sbRemoveDuplicatesSpecificWithHeaders() Range("A1:D10").RemoveDuplicates Columns:=Array(1), Header:= xlYes End Sub
‘Starting procedure to write VBA code to remove duplicates from data with no headers Sub sbRemoveDuplicatesSpecificWithNoHeaders() Range("A1:D10").RemoveDuplicates Columns:=Array(1), Header:= xlNo End Sub
To ensure that your VBA project works smoothly without any error, you need to put lot of error handlers and validations. Here is one of them, below code can be used to check if the given path is valid or not. You just need to provide the path of the file to the function and it will check if the file exist at the location. If it returns True that means the file is available at the path, if it returns False that means it is invalid path or the file does not exist at the location.
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Remove Duplicates in Excel Highlight/Select the Column A, similar to shown in below screenshot: Go To “Data” tab on Menu Bar and click on “Remove Duplicates” as shown below: Once you click on “Remove Duplicates”,…