CSV Descriptive Statistics

Summary statistics for every column in a CSV file: N, missing, mean, SD and more.

Drop a CSV file here or browse Processed in your browser; your data never leaves your device.

Or paste data (CSV, tab-separated from Excel, or one value per line)

First row contains column names

Summary statistics

A column counts as numeric when at least 80% of its non-missing values are numbers. Blank cells and NA, N/A, NaN, null, none, "." and "-" are treated as missing. SD is the sample standard deviation and quartiles use linear interpolation (Excel QUARTILE.INC).

Continue your work

Missing Data Checker — See missing values in more detail.
Outlier Detector — Check extreme values found in the summary.

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Clear instructions

Find steps, examples and limitations below.

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Free to use

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How to use the CSV Descriptive Statistics

Summary statistics for every column in a CSV file: N, missing, mean, SD and more.

1 Upload a CSV or TSV file, or paste data copied from Excel.
2 Say whether the first row holds the column names.
3 Read the summary table and download it as CSV.

Example and practical tips

For a 16-row clinical dataset, the glucose column shows 15 values, 1 missing, mean 126.4 and a median of 102, a gap that hints at an outlier.

Frequently asked questions

Is my data uploaded to a server?

No. The file is read and summarized entirely in your browser.

How are text columns handled?

Columns that are mostly non-numeric are listed separately with the number of distinct values and the most common ones.