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Data Sampler

Random / Stratified / Systematic Sampling

Input Data (JSON Array or CSV)
Sampling Result

Data Sampling Tool Guide

Sampling Methods

  • Random Sampling - Randomly select samples from data, supports seeds for reproducibility
  • Systematic Sampling - Evenly sample at fixed intervals (every Nth record)
  • Stratified Sampling - Group by a specified field, then randomly sample from each group proportionally
  • First N - Take the first N records
  • Last N - Take the last N records

Use Cases

  • Quick sampling, preview, and validation of large datasets
  • Data sampling before ML training/test set splitting
  • Data quality spot-checking and anomaly detection
  • Sampling comparison before data migration or integration
  • Representative sample extraction for statistical analysis

常见问题

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