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data-cleaning

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Clean and transform your data.

Data & Analytics#data quality#data validation#data transformation#etl#data cleaning#missing values
Authortanaer
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you clean messy data, standardize formats, and ensure data quality, making your datasets reliable and ready for analysis.

Core Features & Use Cases

  • Handle Missing Values: Identify and process missing data points using various strategies.
  • Standardize Formats: Normalize dates, numbers, and text to consistent formats.
  • Deduplication & Validation: Remove duplicate entries and validate data against defined rules.
  • Use Case: You have a CSV file with inconsistent date formats and some missing phone numbers. This Skill can clean it up by standardizing dates to YYYY-MM-DD and filling missing numbers with "N/A".

Quick Start

Use the data-cleaning skill to process the attached customer data CSV, handling missing phone numbers and standardizing date formats.

Dependency Matrix

Required Modules

None required

Components

references

💻 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-cleaning
Download link: https://github.com/tanaer/lobster-university-v2/archive/main.zip#data-cleaning

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