CSV Statistics Analyzer - Data Profiling Tool

Analyze CSV files with detailed statistics. View row/column counts, data types, unique values, missing data, min/max. Browser-based data profiling.

Drag & drop CSV file here, or

Delimiter:

Has header

Load a CSV file to analyze statistics

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Frequently Asked Questions

Row count, column count, data types per column, unique value counts, missing values, min/max for numeric columns, value distributions, and memory usage.

The analyzer examines all values in each column to detect numbers, dates, booleans, and text. Mixed-type columns are flagged for review.

Yes. Click any column to see a list of unique values with their occurrence counts. Useful for finding data quality issues and outliers.

Yes, but files over 100MB may be slow. The analyzer processes all rows to generate accurate statistics, which takes time for large datasets.

No. All analysis happens in your browser using JavaScript. Your CSV files never leave your device.

Comma, tab, semicolon, and pipe. The tool auto-detects the delimiter or you can choose manually.

Yes. Export as JSON for programmatic use or copy the formatted report for documentation and data quality reviews.

Empty cells, cells containing only whitespace, and common null indicators (NULL, N/A, -) are counted as missing values.

Cardinality is the number of unique values in a column. Low cardinality (few unique values) suggests categorical data. High cardinality suggests identifiers or continuous data.

Yes. Select 'Tab' as the delimiter and the analyzer will process tab-separated values the same as CSV.

CSV Statistics Analyzer - Data Profiling Tool

Dataset Overview

Column Statistics

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Dataset Overview

Column Statistics

Paste CSV Data

Column Details

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