What does the dataset sampling utility produce?
Select a reproducible sample of distinct source positions using an explicit method, seed and sample size.
Use the exact local files and task-specific inputs listed below. Preparation and review stay in this browser. Inspect all findings before preparing the finalized pack.
What do you need before you start?
- Define the authorized source population and your review rules.
- Keep the unchanged original files and record the snapshot and exclusions.
- Review missing and invalid inputs before preparing the finalized pack.
What information do you enter?
Select the actual local sources and freeze the task-specific inputs below. Keep source files and complete findings private.
- One exact-text CSV, one-sheet XLSX or dataset JSON source.
- Sampling method. Select the rule before preparing the result.
- Sample size. Whole number from 1 to 5000, no larger than the source population.
- Sample seed. Exact seed, 1 to 200 characters. SHA-256 ranking hashes the seed, source row position and exact row. Systematic sampling derives its starting offset from the seed.
| Field | What to enter | Fictional example |
|---|---|---|
| Sampling methodRequired | Select the rule before preparing the result.Choose from SHA-256 ranked, Systematic. | SHA-256 ranked |
| Sample sizeRequired | Whole number from 1 to 5000, no larger than the source population. | 2 |
| Sample seedRequired | Exact seed, 1 to 200 characters. SHA-256 ranking hashes the seed, source row position and exact row. Systematic sampling derives its starting offset from the seed. | Fictional seed 1 |
What you can download
Every result must identify its supplied facts, assumptions and unresolved items.
| Free result | Included downloads |
|---|---|
Enter your information, inspect the on-screen result and keep a browser backup. Editing and direct copies of your entered information stay free. |
These supported outputs are free. No checkout is required. |
Fictional review report (PDF). Editable review (DOCX). Complete fictional pack (ZIP). Requires tailoring and responsible review. Samples use the finalized renderer.
How does the dataset sampling utility work?
- 1Select the actual sources
One exact-text CSV, one-sheet XLSX or dataset JSON source.
- 2Freeze the review rules
SHA-256 ranked sampling orders a digest for every source position and selects the lowest ranks. Systematic sampling uses floor((offset + k) * population / sampleSize). Source order and exact values are part of reproducibility. No representativeness or confidence claim.
- 3Inspect complete findings
Review all source-linked results and unresolved items. Free JSON and CSV preserve complete results.
- 4Keep recoverable work
Browser-local inputs and exact source files survive reload. Restore a validated exact-byte backup ZIP or explicitly approved private cloud revision. Earlier generic workspace keys, original files and historical purchases remain separate and preserved. Download preserved earlier strings and bytes before changing devices.
- 5Prepare the finalized pack
Prepare seven files, then download them free. Review the fictional sample below.
Method and sources
Apply the steps above to the supported inputs. Use the listed source sections to review the rule basis, assumptions and limits.
- Common Format and MIME Type for Comma-Separated Values (CSV) FilesCSV record, field and quoting conventions. This source does not specify customer schemas, matching rules, checksum arithmetic, sampling quality or import acceptance. Section 2. Definition of the CSV Format.RFC Editor. Reviewed 2026-10-08.
- Secure Hash StandardSHA-256 digest specification for exact source-byte and delivered-file checks. It does not establish authenticity or validate the named review rules. Section 6.2. SHA-256.National Institute of Standards and Technology. Reviewed 2026-10-08.
Common questions
What information does the dataset sampling utility need?
Enter one exact-text CSV, one-sheet XLSX or dataset JSON source; sampling method. Select the rule before preparing the result; sample size. Whole number from 1 to 5000, no larger than the source population; sample seed. Exact seed, 1 to 200 characters. SHA-256 ranking hashes the seed, source row position and exact row. Systematic sampling derives its starting offset from the seed. Define the authorized source population and your review rules.
What does the dataset sampling utility produce?
Complete source-linked on-screen review and free JSON/CSV results. Seven-file finalized pack. Formal PDF and DOCX, complete Excel review, CSV ledger, exact parsed sources and inputs JSON, delivered-file SHA-256 manifest and instructions. Sampled or transformed output dataset where applicable. Exact original files and browser backup ZIP remain separately downloadable. Review unresolved findings and limitations before use.
Who makes the final decision?
A responsible person reviews the result. SHA-256 ranked sampling orders a digest for every source position and selects the lowest ranks. Systematic sampling uses floor((offset + k) * population / sampleSize). Source order and exact values are part of reproducibility. No representativeness or confidence claim.
Is this tool free?
Yes. The on-screen result and listed downloads are free. No checkout is required. Keep local backups and review the stated method and limits.
Can I use the dataset sampling utility for this task?
Produce reproducible selections under specified methods. SHA-256 ranked sampling orders a digest for every source position and selects the lowest ranks. Systematic sampling uses floor((offset + k) * population / sampleSize). Source order and exact values are part of reproducibility. No representativeness or confidence claim.
What still needs review?
SHA-256 ranked sampling orders a digest for every source position and selects the lowest ranks. Systematic sampling uses floor((offset + k) * population / sampleSize). Source order and exact values are part of reproducibility. No representativeness or confidence claim.
Checks do not authenticate source records, population completeness, identifier issuance, external checks, a completed import or compliance.
Use at most 5000 data rows, 50 fields, 100000 cells and 5000000 parsed characters. Up to 10 MB per source. Typed spreadsheet cells, stored formulas and multiple worksheets require an explicit text export.
Formal reports show at most 100 rows and 300 characters per displayed field. Excel and JSON preserve complete results.