Boxplotit

Boxplotit is a data visualization tool designed to create box-and-whisker plots for exploratory data analysis. It provides a simple interface for generating standard boxplots from tabular data and can be used within data analysis pipelines or as a standalone utility. The project emphasizes reproducibility and supports input data in common formats such as CSV, TSV, and JSON, as well as in-memory data structures.

Key features include support for both single and grouped data, automatic computation of the five-number summary (minimum, first quartile, median, third quartile, maximum), and configurable outlier display using common rules (for example, 1.5 times the interquartile range). Users can customize aesthetics such as color, orientation, axis labels, titles, whisker style, and grid visibility. Boxplotit can produce static image files (SVG or PNG) and optional interactive plots that render in web pages or notebooks. It supports faceting or subplots for multiple categories and can annotate statistics directly on the plot. The tool is designed to be deterministic and scriptable for reproducible figures.

Input data must include a numeric variable for the measurements and an optional grouping variable for categorization. If grouping is provided, boxplots are generated per group. The output is intended for inclusion in reports, dashboards, or further analysis, and there are options to export data summaries alongside graphics. Boxplotit is distributed as open-source software under a permissive license and can be integrated with common data ecosystems through language bindings or command-line usage.