data-clean
CommunityClean, structured data through expert cleansing.
Data & Analytics#ETL#deduplication#data-quality#data-cleaning#data-preparation#text-normalization#data-standardization
Authormutsumi-yamamoto
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Data quality is foundational for reliable analytics. This Skill evaluates and cleanses data to improve accuracy, completeness, and consistency, enabling trustworthy insights and smooth downstream processing.
Core Features & Use Cases
- Data quality assessment across key dimensions (accuracy, completeness, consistency,Uniqueness, validity, timeliness) and automatic cleansing guidance.
- Cleansing operations including deduplication, normalization, standardization, and entity resolution to create clean, structured datasets ready for modeling and reporting.
- Use Case: Prepare a customer dataset with duplicates, inconsistent spellings, and divergent date formats so it can feed a data warehouse and analytics dashboards.
Quick Start
Apply data-clean to your dataset to evaluate quality, perform deduplication, and normalize text and dates.
Dependency Matrix
Required Modules
None requiredComponents
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-clean Download link: https://github.com/mutsumi-yamamoto/claude-data-analysis-marketplace/archive/main.zip#data-clean Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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