QC15_TimeChangeRange
OfficialDetect abnormal fluctuations in time series data with maximum change range inspection.
Data & Analytics#quality control#data quality#anomaly detection#time series data#maximum change range
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of identifying and marking异常 data points in time series data that exhibit abrupt changes within a specified time window.
Core Features & Use Cases
- Time Series Data Analysis: Analyzes time series data to detect unusual fluctuations.
- Threshold-Based Anomaly Detection: Marks data points where the difference between consecutive values exceeds a predefined threshold.
- Use Case: This Skill is ideal for quality control in data analysis, where it can be used to flag potential issues in data such as temperature, pressure, or other time-sensitive metrics.
Quick Start
Execute the QC15_TimeChangeRange skill on the 'sensor_data.csv' file, setting the output path to 'output_data.csv' and defining the conditions for maximum change range inspection.
Dependency Matrix
Required Modules
pandas
Components
scriptsassets
💻 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: QC15_TimeChangeRange Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#qc15-timechangerange Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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