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Star Trek Color Palettes
Provides a dataset of predefined color palettes based on the Star Trek science fiction series, associated color palette functions, and additional functions for generating customized palettes that are on theme. The package also offers functions for applying the palettes to plots made using the 'ggplot2' package.
Colorblind-Friendly Color Maps for R
Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This package also contains 'ggplot2' bindings for discrete and continuous color and fill scales. A lean version of the package called 'viridisLite' that does not include the 'ggplot2' bindings can be found at < https://cran.r-project.org/package=viridisLite>.
United States House and Senate Voting Cartogram Generators
'ProPublica' < https://projects.propublica.org/represent/> makes United States Congress member votes available and has developed their own unique cartogram to visually represent this data. Tools are provided to retrieve voting data, prepare voting data for plotting with 'ggplot2', create vote cartograms and theme them.
Improved Text Rendering Support for 'ggplot2'
A 'ggplot2' extension that enables the rendering of complex formatted plot labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with automatic word wrap are also supported.
Multiple Fill and Colour Scales in 'ggplot2'
Use multiple fill and colour scales in 'ggplot2'.
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, learners, predictions, benchmark results, tuning instances and filters via the 'autoplot()' generic of 'ggplot2'. The package draws plots with the 'viridis' color palette and applies the minimal theme. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Backend-Agnostic Figure Builder for 'highcharter' and 'ggplot2'
Provides a backend-agnostic 'API' for creating data visualizations using 'highcharter' (interactive) or 'ggplot2' (static). Figures are defined once via a specification object and can be rendered to either backend without modifying the calling code. Supports both declarative and layered workflows, flexible theming and colour palettes, optional 'JavaScript' enhancements, and tools for exporting figures and interactive exploration via a 'shiny' app.
Rich Inline Text for 'grid' Graphics and 'flextable'
Renders rich inline text (bold, italic, code, links, images) in grid graphics and 'ggplot2', from markdown or 'flextable' chunks. Provides grobs, theme elements, and geometry layers for styled text rendering. Only works with graphics devices that support 'systemfonts', such as those provided by 'ragg', 'svglite', or 'ggiraph'. The 'cairo_pdf' device is also supported when fonts are installed at the system level.
An Implementation of Grammar of Graphics for Graphs and Networks
The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 API tailored to graph visualizations and provides the same flexible approach to building up plots layer by layer.
Command Line Interface Plotting
The 'plotcli' package provides terminal-based plotting in R. It supports colored scatter plots, line plots, bar plots, boxplots, histograms, density plots, and more. The 'ggplotcli()' function is a universal converter that renders any 'ggplot2' plot in the terminal using Unicode Braille characters or ASCII. Features include support for 15+ geom types, faceting (facet_wrap/facet_grid), automatic theme detection, legends, optimized color mapping, and multiple canvas types.