Drag and drop a CSV or TSV file to get instant column-by-column statistics — auto-detected data types, numeric stats, text frequency, outlier detection, and distribution sparklines. Export your profile as JSON.
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How to use CSV Data Profiler
Drag and drop a .csv or .tsv file onto the drop zone, or click to browse.
The tool auto-detects the delimiter and header row — adjust these settings if needed.
Review the column stats cards showing data types, value counts, null percentages, and type-specific statistics.
Toggle between card view and summary table view for a compact overview.
Click Export Profile to download the full statistical profile as a JSON file.
What is CSV Data Profiler?
The CSV Data Profiler is a client-side data exploration tool that gives you a comprehensive statistical profile of every column in your CSV or TSV file. Drop a file or paste your data, and it instantly auto-detects each column's data type — numeric, text, date, boolean, or mixed — then computes the relevant statistics for that type.
For numeric columns, you get min, max, mean, median, sum, and standard deviation, plus automatic outlier detection (values beyond 3 standard deviations from the mean). For text columns, it shows min/max length, the most common value (mode), unique value count, and a frequency distribution bar. Date columns show earliest/latest dates and distribution over time.
Each column displays a sparkline or horizontal bar chart showing value distribution at a glance, and null percentages are color-coded (green = low, yellow = medium, red = high). A toggleable summary table gives you compact stats for all columns in one view. Export the complete profile as JSON for documentation, reporting, or further analysis.
All processing happens entirely in your browser — your CSV data never leaves your device. No uploads, no servers, no data retention.
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FAQ
Is my CSV data uploaded anywhere?
No. All parsing, analysis, and statistics computation happens entirely in your browser using JavaScript. Your data never leaves your device.
What file formats are supported?
CSV (comma-separated), TSV (tab-separated), and pipe-delimited files. The tool auto-detects the delimiter from the first line, and you can manually override it via the delimiter selector.
What data types can it detect?
The profiler detects numeric, text, date (ISO and slash formats), boolean (true/false, yes/no, 1/0), and mixed types. Columns with fewer than 80% of one type are flagged as mixed.
How are outliers detected?
For numeric columns, any value that falls more than 3 standard deviations from the mean is flagged as an outlier and listed in the stats card for that column.
What can I do with the exported JSON profile?
The JSON export includes all column statistics, outlier values, frequency distributions, and metadata (filename, row count, analysis timestamp). You can use it for documentation, data quality reports, or feed it into other tools in your pipeline.
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