QC4_AssociationRuleCheck

Official

Automated data validation with custom rules

Authorcas-bigdatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the complex process of data validation by allowing users to define custom conditions. It checks if data records meet specific business logic rules, identifying anomalies automatically.

Core Features & Use Cases

  • Custom Rule Definition: Validates data based on user-defined expressions using pandas eval syntax.
  • Anomaly Detection: Identifies records that do not meet the specified conditions.
  • Use Case: A financial institution needs to ensure customer age data is within realistic bounds. This Skill can apply a rule like "age > 120 or age < 0" to flag incorrect entries.

Quick Start

Run the skill using the command `python scripts/QC4_AssociationRuleCheck.py with the required parameters for input path, output paths, and the rule expression.

Dependency Matrix

Required Modules

pandas

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: QC4_AssociationRuleCheck
Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#qc4-associationrulecheck

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