Paste or upload CSV
Provide your data and pick delimiter (or auto-detect) and whether the first row is a header.
CSV Column Analyzer
Paste or upload a CSV to see per-column distinct counts, top values, empty cells, and numeric min / max / mean when the column looks numeric. Everything runs in your browser.
Delimiter
Or upload a CSV file
In your browser · Up to 200 MB (50+ MB may feel slow)
Column profiles
HOW IT WORKS
How to analyze CSV columns
Load a delimited file, run analysis once, and review frequency tables and basic stats for each column.
Run Analyze columns
The tool scans every data row once and builds counts per column.
Review stats and export
See distinct values, top frequencies, empties, and numeric summaries; copy a JSON summary if needed.
WHY USE THIS TOOL
Why profile CSV columns?
Before cleaning or importing, it helps to know cardinality, dominant values, and whether columns are numeric.
Quick data QA
Spot unexpected distinct counts and frequent values without opening a spreadsheet.
Numeric hints
Columns that look numeric get min, max, and mean automatically.
Private processing
Files never leave your browser; analysis runs entirely on-device.
JSON export
Copy a compact JSON summary for notes, tickets, or pipelines.
PRIVACY
Private CSV analysis
Your CSV is read only in local memory. Nothing is uploaded, logged, or stored on a server.
Data stays on device
Parsing and counting happen in your tab only.
No uploads
We never receive your file contents.
Runs in browser
No install or account—open the page and go.
FAQ
Frequently asked questions
Very large files may hit a 250,000 data-row cap for responsiveness; a warning appears if analysis is truncated. For huge files, split or sample first.
Non-empty cells are tested as finite numbers. If at least 95% of non-empty values parse as numbers, the column is summarized with min, max, and mean.
The number of unique string values after trimming, including empty string as its own value when present.
Yes. Choose Tab as the delimiter or use auto-detect on tab-separated text.
No. All work happens locally in your browser.