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Data Sampling, Bucketing & Grouping

Online data sampling, bucketing and grouping tool with random, systematic, stratified and cluster sampling, running locally for privacy

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Sampling, Bucketing and Grouping Guide

What is data sampling?

Data sampling selects a subset from a large dataset to represent the overall characteristics while reducing analysis and processing costs.

How to use this tool

  1. Paste or import data in JSON, CSV, or plain text
  2. Choose a sampling method and set size or percentage
  3. Configure strata, cluster count, or random seed when needed
  4. Run sampling to review results, then copy or download
  5. Use bucketing and grouping for further analysis

Sampling methods

  • Random sampling: each item has equal probability and suits uniform data
  • Systematic sampling: pick items at fixed intervals for efficiency
  • Stratified sampling: sample by strata to keep subgroup representation
  • Cluster sampling: sample clusters when natural groups are obvious

FAQ

Is the online data sampling tool safe?

All sampling runs locally in your browser and data is never uploaded to a server.

What sampling ratio should I choose?

A 1% to 30% rate is common depending on dataset size; smaller datasets can use higher ratios.

How is stratified sampling different from cluster sampling?

Stratified sampling keeps each subgroup represented, while cluster sampling is suited to natural groups with small intra-group variance.