Online Tool Store
Data Sampler
Sample rows from pasted CSV or line-delimited data using random, first-N, or every-Nth methods, with an optional seed for reproducible results. Runs entirely in your browser.
🔒 This tool runs entirely in your browser. Your files are never uploaded to a server.
Example shown — paste your own data. The first line is treated as a header row.
How it works
- Paste your CSV or line-delimited data — the first line is treated as the header.
- Choose a sample method and size, then read or download the resulting subset.
The methods
Random rows: Fisher–Yates shuffle, take the first N indices
First N rows: rows[0..N)
Every Nth row: step = floor(total ÷ N), take every step-th row
FAQ
What sampling methods does this support?
Random rows (a uniform random subset), first N rows (the top of the file), and every Nth row (systematic sampling spread evenly across the file) — the three most common ways to pull a representative slice out of a larger dataset.
What does the random seed do?
Leave it blank for a different random sample every time. Enter any text or number and the same seed always produces the same sample from the same data — useful when you need a reproducible result for a report or a repeatable test fixture.
Does this work with tab-separated or pipe-separated data too?
Yes — sampling only cares about line boundaries, not the delimiter inside each line, so TSV, pipe-delimited, or any line-per-record text works the same as CSV.
Is my data uploaded anywhere?
No — sampling happens entirely in your browser. Nothing is sent to a server.
How we compare
| Feature | Online Tool Store | Spreadsheet formulas | Python/pandas sampling |
|---|---|---|---|
| No install or setup | ✓ | ✓ | Requires Python + pandas |
| Reproducible sample via seed | ✓ | Manual formula juggling | ✓ |
| Data never leaves your device | ✓ | ✓ | ✓ |
For a quick, reproducible slice of a CSV before deciding whether it's worth a full pandas pipeline, this is faster than opening a notebook.