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StatClean

Data preprocessing & outlier detection with formal statistical methods and publication-quality reporting.

Note: Remover methods return self. Access cleaned data via cleaner.clean_df and details via cleaner.outlier_info.

Quick Links

Quick Links

• Installation Guide
• Quick Start Tutorial
• Statistical Methods Guide
• API Reference
• Advanced Examples
• Performance Tips
• Troubleshooting
• Contributing

Getting Started	Learn
[[Installation Guide	Installation-Guide]]
[[Quick Start	Quick-Start-Tutorial]]
[[Examples	Advanced-Examples]]
[[Troubleshooting	Troubleshooting]]

Feature Overview

Feature	Univariate	Multivariate	Formal Test
IQR	✅
Z-score	✅
Modified Z-score	✅
Mahalanobis		✅
Grubbs	✅		✅
Dixon Q	✅		✅

How It Flows

flowchart LR
  A[DataFrame] --> B[Analyze Distribution]
  B --> C{Recommend Method}
  C --> D[IQR / Z / Modified Z]
  C --> E[Mahalanobis]
  D --> F[Remove / Winsorize]
  E --> F
  F --> G[Report & Plots]

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