Column summaries

Open a table and every column comes with its own shape: a histogram for numbers, a box plot for distributions, a split bar for categories, a unique count for identifiers, the range underneath. It answers "is this the file I want?" without a line of pandas — computed locally, straight from the file you are looking at.

Column kind	What is drawn
Number	a histogram, with the minimum and maximum under it
Date	a histogram over time
Category	a split bar of the commonest values, and how many are left
Identifier	the count of distinct values
Boolean	the true/false split

The same statistics are what a chart cell reads to decide which plots the columns can support, and what a model cell reads to tell a measurement from a row number.

Works on Parquet, CSV, TSV, JSON, JSONL, Arrow, ORC, Avro, xlsx, SPSS .sav and SAS .xpt / .sas7bdat.

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