Curator

Find outliers in a column

Drop a CSV, pick a column, and find its outliers with the IQR rule — plus the exact cutoffs. Runs entirely in your browser: no upload, no sign-up, your data never leaves your device.

How outliers are found (the IQR rule)

The interquartile range (IQR) is the spread of the middle 50% of your data: Q3 minus Q1. The Tukey rule flags any value more than 1.5 × IQR below Q1 or above Q3 as an outlier — the same method behind a box plot’s whiskers. It’s robust and distribution-free, and isn’t thrown off by the very outliers it’s looking for.

Should you remove them?

Not automatically — an outlier can be a data-entry error, a genuine extreme, or a sign a column mixes two things. Look at the flagged values in context first. Want to see which rows are outliers, or check every column at once? Open the full workbench →