CSV Data Quality Checker

Check a CSV for missing values, duplicates, outliers and wrong types in seconds, and share a report. Free, in your browser.

How to use the CSV Data Quality Checker

Get a quick health check of any dataset.

1. Load your data
2. Read the overview
3. Review each column

Tips

• Missing means empty or blank. Distinct means different values.
• A big gap between mean and median usually means outliers.
• Tick “Only columns with warnings” to find problems fast.

Example

Input: orders.csv

Output: age: integer, 4% missing · 2 duplicate rows

Frequently asked questions

What does the data quality check show?

Column types, missing values, duplicate rows, outliers, distributions and warnings for each column.

Can I share the results?

Yes. Download an HTML report, and lock it with a password if it must stay private.

What counts as a duplicate row?

A row identical to an earlier one in every column.

Guides

• Data Profiler: Check Data Quality Before You Use It
• Password-Protected Data Reports: Share a Locked HTML File