Research-grade statistical visualization on Seaborn: a typed package, an eleven-notebook curriculum and a reproducible figure pipeline adding bootstrap CIs, effect sizes, corrected pairwise tests with annotations, colour-blind palette checks, journal-width figure sizing and provenance-tagged exports.
python docker reproducible-research jupyter-notebook pandas data-visualization seaborn custom-theme matplotlib open-source-project project-structure utility-functions streamlit time-series-visualization modular-code interactive-dashboard categorical-plots correlation-heatmap multi-panel-layouts plot-utils
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Updated
Oct 5, 2026 - Jupyter Notebook