CSV Sample Extractor

How to use this developer tool

1. Paste the CSV input or load a local file.
2. Choose the options that match the source format.
3. Select Extract Sample or press Ctrl/Cmd + Enter.
4. Review the summary and export the output you need.

What this developer tool does

This page selects a requested number of data records with a deterministic sampling strategy and preserves the header row. The main output is ready to copy, while the structured exports retain the diagnostic fields used in the summary.

This is record sampling, not statistically stratified sampling. Quoted multiline records remain intact during parsing.

Example

Input

id,city,score
1,Seoul,91
2,Busan,84
3,Incheon,88
4,Daegu,79
5,Daejeon,86
6,Gwangju,82

Running the sample produces a tool-specific report in the output panel, with counts that correspond to the parsed records or nodes.

Use cases

• Check incoming CSV before an import or migration.
• Create repeatable fixtures for parser and ETL tests.
• Inspect structure without installing a command-line package.
• Export a compact report for code review or issue tracking.

Tips for reliable output

• Keep an untouched copy of the source before transforming it.
• Test one representative edge case as well as the happy path.
• Review quoted fields, Unicode, and empty values explicitly.
• Use the JSON export when another program will consume the report.
• Re-run the tool after changing any parsing option.

Processing details

Seeded random mode uses a small deterministic PRNG, so the same seed and input produce the same selection. Even mode spreads indexes across the full dataset. Processing time is measured in the browser and the original input is left unchanged.

This is record sampling, not statistically stratified sampling. Quoted multiline records remain intact during parsing.