Analyze CSV Files Online
Large CSV Viewer analyzes CSV files automatically on upload. Click the type icon next to any column header to see that column's data type, null count, minimum value, and maximum value. Statistics run server-side using DuckDB so they are accurate even on multi-gigabyte files with millions of rows. Free, no account required.
Last updated:
Before cleaning or importing your data, you need to understand it. Large CSV Viewer shows per-column statistics instantly — data type, null count, minimum, maximum, and unique values — so you know exactly what you're working with before you write a single query.
Key features
- Per-column stats: type, null count, min, max
- Automatic data-type inference (numeric, text, date, boolean)
- Click any column icon to view its summary statistics
- Works on files of any size — stats run server-side
How it works
- Upload your CSV. Open any CSV file in Large CSV Viewer. The viewer automatically infers column types (numeric, text, date, boolean) as your file uploads.
- Open the column stats panel. Click the type icon next to any column header (hash for numeric, calendar for dates, etc.) to open the column summary panel.
- Review statistics. See null count, min, max, and detected type for any column. Use this to identify data quality issues before exporting or importing.
Frequently asked questions
What statistics does the CSV analyzer show?
For each column: detected data type, null/empty count, minimum value, maximum value. Numeric columns show numeric min/max; date columns show the earliest and latest dates.
How does column type detection work?
The viewer samples values from each column and classifies them as numeric, date, boolean, or text based on the majority type. DuckDB's type inference is used for uploaded files.
Can I analyze a large CSV file?
Yes. Statistics run server-side using DuckDB, so even multi-gigabyte files with millions of rows can be analyzed accurately.
Is there a way to see all column stats at once?
Currently, stats are shown per-column via the column menu. A full-dataset summary view is on the roadmap.
Is this free?
Yes, completely free with no file size limit or account requirement.