statistical-graphics

bayesplot R package for plotting Bayesian models

A gallery of animations in statistics and utilities to create animations

shinystan R package and ShinyStan GUI

SUpporting GRaphics with R for ANalysing Time Series

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

A Toolkit for Interactive Statistical Data Visualization

Modern Statistical Graphics （《现代统计图形》的附加包）

data science, statistics and machine learning

Interactive Jupyter notebooks showcasing data visualization with Matplotlib and Seaborn for learners and data practitioners.

Visualizing the Covid-19 pandemic with doubling rates

📖 现代统计图形（第二版） Modern Statistical Graphics (Second Edition)

Materials for a workshop in June 2025

📊 CRAN-published R package, seaborn for R, built on ggplot2 — the same API and defaults, visually indistinguishable plots, and every plot is a ggplot you can extend.

R scripts drawing a hierarchical edge bundling diagram of Mariana Trench project factor/method connections with ggraph/igraph (bundled splines over a hierarchy layout). Fig. 22 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

R script drawing lollipop (stem-and-dot) charts and diverging bar charts of Mariana Trench profiles ranked by normalized value with above/below-average grouping (ggplot2). Figs 19-20 in Lemenkova (2019), Geodesy and Cartography 45(2):57-84.

R script for agglomerative hierarchical cluster analysis of bathymetric profiles: z-score scaling, Euclidean and correlation distance, average-linkage hclust, dendextend/magrittr dendrogram styling, tanglegram comparison and pvclust AU/BP bootstrap p-values. Mariana Trench; Lemenkova (2020), Carpathian JECE 13(1):5-12.

Python/Seaborn scripts computing and plotting Pearson, Spearman and Kendall correlation matrices as heatmaps, demonstrated on Mariana Trench morphometry (with Nigeria band-correlation variants). Reusable scientific-plotting example.

Python script performing principal component analysis (PCA) with scikit-learn and visualising the components with seaborn, on Mariana Trench morphometry. Reusable data-analysis example.

R scripts drawing waffle (square-pie) charts of Mariana Trench slope-aspect and steepness class proportions with the waffle package and a ggplot2 tile equivalent. Companion to Lemenkova (2019), Geodesy and Cartography 45(2):57-84.