About Data Sampling Tool
This tool performs sampling and grouping on structured datasets, with support for multiple sampling methods, reproducible seeds, bucketing, and grouped outputs.
Key Features
- Multi-format Input: Parse common structured text data formats.
- Sampling Methods: Random, stratified, and cluster sampling.
- Sample Size Control: Set by absolute count or percentage.
- Reproducibility: Use random seed for repeatable results.
- Post-processing: Bucketing and group-by operations.
- Export Actions: Copy or download sampled results.
Steps
- Choose input format and paste data.
- Select sampling method and sample size.
- Configure strata field / cluster count / random seed as needed.
- Execute sampling and inspect stats.
- Optionally run bucket/group operations and export.
Use Cases
- Fast subset creation before exploratory analysis.
- Building train/validation subsets with reproducibility.
- Layered quality checks on operational datasets.
FAQ
Why do I get different results each run?
Random sampling changes without a fixed seed. Set a seed to reproduce the same output.
How should I choose a stratification field?
Pick a categorical field that represents key population distribution to avoid sampling bias.