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data-auditor-cleaner

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Audit, clean, and document contest data.

Data & Analytics#reproducibility#data-quality#data-cleaning#data-audit#data-workflow#contest-data
Authorzhnnky329
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Audit, clean, summarize, and prepare contest data for modeling with explicit traceability.

Core Features & Use Cases

  • Data auditing: identify fields, units, metadata, and data quality issues.
  • Data cleaning: apply explicit, reversible rules to fix missing values, inconsistencies, and anomalies.
  • Artifact generation: produce a data audit report and a cleaned dataset ready for downstream modeling.
  • Reproducibility: maintain a transparent log of cleaning steps and decisions to support auditability.

Quick Start

Provide raw data under workspace/data/data_raw and run the auditor to produce cleaned data and an audit report.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-auditor-cleaner
Download link: https://github.com/zhnnky329/MathModeling-skills/archive/main.zip#data-auditor-cleaner

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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