QC12_ConstantFieldCheck
OfficialEnsure field consistency across grouped data for quality control.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the detection of inconsistencies in specific fields within grouped data, identifying records that violate consistency rules, thereby assisting in data quality control.
Core Features & Use Cases
- Field Consistency Check: Compares the values of specified constant fields to ensure consistency.
- Identifies Anomalies: Highlights records with inconsistent values in designated difference fields.
- Quality Control Tool: Ideal for users looking to automate data validation processes to maintain data integrity.
- Use Case: Suppose you have sales data grouped by region. This Skill can automatically detect if the 'region' field is consistent while 'sales amount' shows inconsistencies within the same region.
Quick Start
Use the QC12_ConstantFieldCheck skill to check field consistency for a given data set. Example command: 'QC12_ConstantFieldCheck --input_path /path/to/data.csv --output_path /path/to/output.csv --constantFieldsNames "region" --diffFieldsNames "sales_amount" --QcMark "QC12"'
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: QC12_ConstantFieldCheck Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#qc12-constantfieldcheck Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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