CSV Statistics

Paste a CSV / TSV / pipe-delimited file (or one number per line) and see per-column summary statistics — count, mean, median, mode, variance, stddev, quartiles, IQR, outliers, skewness, kurtosis — plus a histogram. Nothing leaves your browser.

Input

— Clear

Options

Mode Auto-detect CSV / TSV / pipe One number per line

Delimiter Auto Comma , Semicolon ; Tab Pipe |

Column All numeric columns Resolved from the parsed header.

Transform None log10 sqrt z-score

Histogram bins Auto (Sturges) 5 8 10 15 20 30

CSV has a header row Drop outliers (1.5×IQR) before stats

Summary

Copy TSV

Paste data to compute statistics.

Histogram

Histogram appears here once stats are available.

What do these numbers mean?

• count — number of cells that parsed as finite numbers.
• missing — empty cells plus cells that failed to parse (samples listed in Warnings).
• mean — arithmetic average. median — the middle value (Q2).
• mode — the most frequent value (smallest of ties), with its frequency.
• harmonic / geometric mean — defined only for strictly positive values.
• variance / stddev — sample (n − 1, Bessel-corrected) and population (n).
• Q1 / Q3 / IQR — first and third quartiles with linear interpolation; interquartile range.
• outlier count — values strictly outside [Q1 − 1.5·IQR, Q3 + 1.5·IQR] (Tukey fences).
• skewness — Fisher–Pearson biased moment coefficient (≈ 0 for symmetric data).
• excess kurtosis — fourth standardised moment minus 3 (≈ 0 for normal data).