Delete CSV Column

Removing columns by name

Load the CSV file and the tool lists all detected column headers as toggleable options. Select the columns you want to remove, then export. The output file contains only the columns that were not selected for deletion. Column order is preserved. Values in the remaining columns are not altered.

You can select multiple columns for deletion in a single pass. This is more practical than running the tool once per column when you need to strip several fields, such as removing three PII columns from a contact export in one operation rather than three.

Data minimisation and privacy

Stripping internal IDs before sharing data externally prevents the recipient from correlating the shared file against your internal database. An internal account ID that appears in a dataset handed to an analytics contractor gives them a reference point that may not be intended. Removing it from the export file before sharing is a straightforward precaution.

Personal data such as full names, email addresses, phone numbers, and dates of birth are PII under GDPR and similar regulations. When sharing data for analysis purposes where the analysis does not require individual identification, removing PII columns before export reduces data exposure and satisfies the principle of data minimisation. The recipient gets the statistical or categorical data they need without retaining personal records they do not need.

Auto-generated index columns from database exports or spreadsheet tools add a column of sequential integers (1, 2, 3...) that carries no information about the actual data. These columns sometimes cause problems during import if the target table tries to interpret the integer as a primary key. Removing index columns before import avoids that conflict.

Frequently asked questions