CSV Guide
How to Remove Duplicates from a CSV
Clean repeated records from a CSV file by choosing which columns should be used to identify duplicates.
What counts as a duplicate?
A duplicate does not always mean every value in two rows is identical. In many datasets, one or more key columns determine whether two rows represent the same record.
For example, two customer records might have the same Customer ID but different address information. If Customer ID is the unique identifier, those rows can still be treated as duplicates.
Choose the columns that define a duplicate
Love Data Tools lets you choose the columns that should be used when checking for duplicate rows.
Example
If your file contains Customer ID, Name, Email and Country, you could select only Customer ID. Rows sharing the same Customer ID would then be treated as duplicates even if other values differ.
How to remove duplicate rows
- 1. Open the Remove Duplicates tool
Open Love Data Tools and select Remove Duplicates.
- 2. Select your CSV file
Choose the CSV file you want to clean.
- 3. Choose the identifying columns
Select one or more columns that should be used to decide whether two rows are duplicates.
- 4. Remove duplicates
Love Data Tools keeps the first occurrence of each matching record and removes later duplicates.
- 5. Download the cleaned CSV
Download the deduplicated file back to your device.
Should I use one column or several?
Use one column when it uniquely identifies a record, such as Customer ID, Employee Number or SKU.
Use several columns when no single field is unique. For example, you might identify a duplicate using both First Name and Email, or Product Code and Location.
Are my files uploaded?
No. Your CSV file is processed locally in your browser and is not uploaded to Love Data Tools for processing.
Ready to clean your CSV?
Remove duplicate records using the columns that matter to you.
Remove duplicates