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Detect Outliers in CSV
Find numeric outliers in CSV columns before charts, reports, and model training.
Problem
Unexpected numeric values distort averages, charts, forecasts, and downstream decisions.
What to do
Outlier detection highlights values that deserve review. Some are real events, some are data-entry mistakes, and some should be excluded from analysis.
- 1Load the CSV.
- 2Choose the numeric column and detection method.
- 3Review flagged rows before removing or transforming anything.
Use the browser tool
Outlier Detector is a free, browser-based tool that helps you understand a dataset at a glance. Flag statistical outliers in numeric columns. It's built for speed and privacy: Everything runs locally in your browser — your data is never uploaded to a server. No sign-up, no installs, and no daily limits.
People also ask
- How do I use Outlier Detector?
- Paste or drop your data into the workspace, adjust the options to fit your data, then copy or download the result. Flag statistical outliers in numeric columns.
- Is my data uploaded or stored anywhere?
- No. Everything runs locally in your browser — your data is never uploaded to a server. Nothing is sent to a server, so it's safe to use with private or sensitive data.
- Is Outlier Detector free?
- Yes — it's completely free with no account, no sign-up, no watermark, and no daily usage limits.