systematic_sampler
OfficialStreamline sampling from time series data with precise intervals or counts.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of evenly distributing samples from time series or ordered datasets, reducing manual efforts and increasing accuracy.
Core Features & Use Cases
- Systematic Sampling: Extract samples at specified intervals from time-series data or ordered sets.
- Interval/Count-based Sampling: Choose to sample at a set interval or based on a fixed count of samples.
- Use Case: Ideal for data analysts who need to ensure a representative sample size from a large, ordered dataset, like financial trading data over a period.
Quick Start
Apply the 'systematic_sampler' skill to sample from your 'time_series_data.jsonl' file at an interval of 5 with a starting offset of 10.
Dependency Matrix
Required Modules
None requiredComponents
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: systematic_sampler Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#systematic-sampler Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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