What is the maximum CSV file size?

Up to 100 MB and approximately 1 million rows.

Does it support different CSV delimiters?

Yes. Comma, semicolon, tab, and pipe delimiters are auto-detected.

Can I analyze Excel files?

Excel (XLSX) support is coming soon. Currently only CSV and TSV files are supported.

Is my data sent to a server?

No. All processing is done in your browser.

Can it handle files with non-UTF-8 encoding?

UTF-8 and Latin-1 (ISO-8859-1) are supported with auto-detection. Shift-JIS support for Japanese files is planned.

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🌐 Runs in Browser⏱ Est. 2–10 seconds

CSV-Datenanalyse

CSV-Daten sofort analysieren, profilieren und visualisieren

Try It Now — Free

What is CSV-Datenanalyse?

Upload a CSV file and get instant statistics: row counts, column types, missing value analysis, distribution charts, and outlier detection. Ideal for quick data quality checks before analysis.

Key Features

Automatic column type detection (numeric, string, date, boolean)

Missing value count and percentage per column

Statistical summary: min, max, mean, median, std dev

Distribution histograms for numeric columns

Frequency tables for categorical columns

Outlier detection using IQR method

Correlation matrix for numeric columns

Export profile report as PDF or JSON

How It Works

Upload CSV

Drop your CSV file (up to 100 MB, up to 1M rows) onto the tool.

Auto-Profile

The profiler automatically detects column types and computes statistics for each column.

Explore

Browse the interactive report, click columns to drill into distributions and sample values.

Export

Download the full profile report as a structured JSON or formatted PDF.

Who Is This For?

▸Data scientists doing initial EDA on new datasets
▸Analysts checking data quality before import
▸Developers debugging data pipeline outputs
▸Product managers understanding data distributions

Why Use CSV-Datenanalyse?

Unlike cloud-based alternatives that upload your files to remote servers, CSV-Datenanalyse runs entirely in your browser. Your data stays private. No account, no subscription, no upload limits — just instant results. Built with cutting-edge web technologies including WebAssembly and WebGL for near-native performance.

Technical Details

CSV parsing uses Papa Parse in a Web Worker for non-blocking processing. Statistics are computed using numerically stable algorithms (Welford's online algorithm for variance). Charts are rendered with Chart.js.