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Data Analysis · browser workspace

Find Outliers in CSV - Statistical Outlier Detection

Identify statistical outliers in numeric columns using IQR method.

Quick start

Built for identify statistical outliers in numeric columns.

Everything runs in your browser, so you can test the workflow with sample data when available before using production files.

Output: A new file or report produced locally in your browser.

  1. 1Choose a supported file or use sample data when available.
  2. 2Set the options shown for this workflow.
  3. 3Process the file locally, inspect the result, and download a new copy.
Preparing your private workspace…

How to Outlier Detection

  1. 1Upload your CSV file
  2. 2Select column to analyze
  3. 3Download rows with outliers

Why Use This Tool?

  • ✓IQR Method - Statistical approach
  • ✓Auto-Detection - Find anomalies
  • ✓Clean Data - Identify errors

Frequently Asked Questions

How are outliers found?

Using IQR method: values below Q1-1.5*IQR or above Q3+1.5*IQR are outliers.