QC6_SingleFieldMultiThresholdCheck
OfficialPerform comprehensive quality control checks on data fields with multiple threshold conditions.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of checking data fields against multiple threshold conditions, flagging any data points that fall outside the specified ranges, thus ensuring data quality and accuracy.
Core Features & Use Cases
- Data Quality Control: Validate data against predefined thresholds for a single field.
- Threshold Comparison: Compare field values against minimum and maximum thresholds.
- Quality Marking: Mark data points as abnormal if they do not meet the threshold conditions.
- Use Case: When processing data from experiments or surveys, this Skill can be used to ensure that data points fall within the expected ranges, identifying any outliers or incorrect entries.
Quick Start
Run the QC6_SingleFieldMultiThresholdCheck skill to validate the 'temperature' field in your dataset against the provided threshold criteria.
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: QC6_SingleFieldMultiThresholdCheck Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#qc6-singlefieldmultithresholdcheck Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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