Can this replace pandas or Excel for basic EDA?

For exploratory data analysis on datasets under 100,000 rows, yes. It covers the most common EDA steps: summary stats, distribution check, outlier scan, and filtered export.

Does it handle CSVs with mixed types in a column?

Yes. Columns with mixed types (some cells are numbers, others are text) are analyzed as text with a numeric ratio indicator so you can quickly spot data quality issues.

CSV Data Analysis Online Free — No Code, No Excel

Instant Column Statistics

Upload or paste a CSV and get automatic per-column stats: count, unique values, min, max, mean, median, standard deviation for numeric columns; top values and frequency distribution for text columns; null/empty rate for every column. This replaces the manual work of writing Excel formulas or Python pandas describe().

Outlier Detection

Numeric columns are automatically scanned for outliers using IQR (interquartile range) and Z-score methods. Outlier rows are highlighted in the data table and can be filtered out or exported separately for investigation. This is especially useful for cleaning survey data, financial exports, or sensor readings.

Export Your Analysis

The summary statistics table exports as CSV (for importing into reports) or JSON (for use in dashboards or scripts). Individual filtered views export as separate CSV files. No data is sent to any server — all analysis runs in your browser using JavaScript.

CSV Data Analysis Online Free — No Code, No Excel

Instant Column Statistics

Outlier Detection

Export Your Analysis

Frequently Asked Questions

Analyze your CSV free

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