About The CSV Random Sampler

The CSV Random Sampler selects a random subset of rows from CSV-like data so you can create quick test samples, QA slices, or reproducible examples.

Sampling happens locally in your browser. Use sanitized CSV when working with customer records, production exports, or private business data.

How to Sample CSV Rows Online

1. Paste your source data into the CSV input box.
2. Choose the delimiter or leave it on Auto detect.
3. Set the number of Sample rows and optionally enter a seed.
4. Click Sample CSV to generate the sampled output.

Choosing Options Correctly

Delimiter:
- Leave Auto detect on for common comma, semicolon, tab, or pipe-separated files.
- Pick the delimiter manually when the data contains several separator types.

First row is header:
- Keep it ON when the first row contains column names and should always stay at the top.
- Turn it OFF when every row should be sampled equally.

Seed:
- Leave it blank for a fresh random sample each run.
- Enter the same seed when you need reproducible sampling.

Common Use Cases

• Creating small examples from large CSV exports.
• Generating repeatable QA samples with a fixed seed.
• Reducing a dataset before sharing it with teammates.
• Checking whether downstream CSV tools handle representative rows.

Quick FAQ

Can the sample size be larger than the dataset?
No. The sample cannot contain more data rows than are available unless sampling with replacement is explicitly supported.

Does the output always use commas?
The output delimiter depends on the tool options. Check the selected delimiter before exporting.

Why did my sample change?
Random sampling can produce different rows each run unless a seed or deterministic option is provided.

Is the header row included?
Usually the header is preserved separately and not counted as a sampled data row. Check the output before using it.