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regex-data

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Clean, extract, and validate text with regex in DataFrames.

Data & Analytics#data validation#text extraction#pandas#regex#data cleaning
AuthorLeandroBenjaminL
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you clean, extract, and validate text within DataFrames, ensuring data accuracy and consistency.

Core Features & Use Cases

  • Text Cleaning: Remove unwanted characters and spaces from text data.
  • Pattern Extraction: Extract specific patterns like emails, phone numbers, dates, or prices from text.
  • Format Validation: Validate the format of strings such as CUIL, CBU, or email addresses.
  • Use Case: If you have a column of text data with inconsistent formats and you need to clean it, extract certain patterns, or validate formats, this Skill can help.

Quick Start

Use the regex-data skill to clean and extract data from the 'customer_data.csv' DataFrame.

Dependency Matrix

Required Modules

pandasre

Components

scripts

💻 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: regex-data
Download link: https://github.com/LeandroBenjaminL/lend-ai/archive/main.zip#regex-data

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