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data-auditor-cleaner

authentic

Map contest attachments to subquestions, audit and clean raw data, and emit one reusable data profile with quality, coverage, imbalance, concentration, and method-readiness evidence for downstream risk screening.

When to use

• Create traceable cleaned data and one reusable profile. Do not repeat the same data inspection separately for every candidate method.

When not to use

• Select the model
• Overwrite raw data
• Silently delete, impute, winsorize, rescale, or recode
• Produce decorative EDA
• Regenerate statistics for every candidate method

Skill page

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