Drop a CSV and get a per-column summary — type, missing values, distinct counts, and mean / std / min / max for numbers. Runs entirely in your browser: no upload, no sign-up, your data never leaves your device.
For every column you get its type, how many rows are filled in (non-null) and the % missing, the number of distinct values, and — for numeric columns — the mean, standard deviation, min and max. It’s the first look you’d take at any new dataset: where the gaps are, which columns are categorical vs. numeric, and whether any ranges look wrong.
A high % missing flags columns to clean or drop. A distinct count near the row count suggests an identifier; a small one suggests a category. A min or max that looks impossible is usually a data-quality issue worth chasing down. Want a narrative summary or to dig into one column? Open the full workbench →