Summary  
A method to identify and eliminate duplicate records by comparing values across selected columns, ensuring that only one instance of each complete data combination remains.

General domain of usage  
Data cleaning in spreadsheets.

### **Why Rows 2 and 4 Were Not Removed**

Rows **2** and **4** contain unique data combinations, despite having the same values in the **Name, Department, Salary** columns. While the values in row **2** match those in row **4**, the **Employee ID** is different. Since they do not match completely, they were not removed as duplicates.


You have an employee dataset in Google Sheets and want to remove duplicate records based on the Employee ID column. How should you proceed?

Learn how to create and customize spreadsheets in Google Sheets, work with formulas and functions, including logical operations, format data, and sort and filter information. Master data visualization with charts and ensure data security during collaboration.

Learn how to create, rename, copy, delete, move, and download spreadsheets in Google Sheets. Acquire basic skills for organizing and managing data in a cloud-based environment.

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Develop skills to sort, filter, and clean data efficiently. Learn to use search and replace, conditional formatting, remove duplicates, and create named ranges to analyze large datasets.

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Explore logical functions for conditional data analysis. Learn how to use AND, OR, IF, and conditional formulas like SUMIFS, COUNTIFS, and AVERAGEIFS to create flexible calculations.

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Removing Duplicates

Why Rows 2 and 4 Were Not Removed

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Removing Duplicates

Why Rows 2 and 4 Were Not Removed