Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping

Provides 'ggplot2' extensions for political map making. Implements new geometries for groups of simple feature geometries. Adds palettes and scales for red to blue color mapping and for discrete maps. Implements tools for easy label generation and placement, automatic map coloring, and themes.

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>.

EKIO Visual Identity for 'ggplot2'

Implements EKIO's visual identity for data visualization with 'ggplot2'. Supplies a coordinated theme, color palettes, discrete and continuous scales, and helpers for accessible text contrast. Includes high-level recipes for common charts so analysts can create consistent, publication-ready graphics with concise code.

A Natural Language Interface to 'ggplot2'

The 'ggplot2' package is the state-of-the-art toolbox for creating and formatting graphs. However, it is easy to forget how certain formatting commands are named and sometimes users find themselves asking: How do you rotate the x-axis labels again? Or how do you hide the legend...? This package allows users to issue natural language commands related to theme-related styling of plots (colors, font size and such), which then are translated into valid 'ggplot2' commands.

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.

Liquid Glass Design Themes for 'shiny' Applications

Provides drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result as theme = to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Includes light and dark presets with runtime switching and an OS-following 'auto' mode, an iOS-style intensity control from Ultra Clear to Tinted, optional persistence of the look, named wallpaper scenes, helpers to match 'ggplot2', 'plotly', 'gt', and 'DT' output to the glass pack, a flatten mode for print and screenshots, and documented CSS tokens.

Publication-Ready Data Visualization and Simple Statistical Inference

Creates publication-ready data visualizations using 'ggplot2', together with tools for common simple statistical analyses (confidence intervals, ANOVA, linear and generalized regression). The package provides common chart types and analyses with built-in validation, customization options, and publication-friendly themes.

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.

Multiple Fill and Colour Scales in 'ggplot2'

Use multiple fill and colour scales in 'ggplot2'.

Consistent Fonts and Figure Export for Scientific Publication Workflows

Provides a unified interface for exporting figures created with base graphics, 'ggplot2', 'grid', 'pheatmap', and 'ComplexHeatmap' to PDF, PNG, JPEG, and TIFF files. Selects an appropriate rendering strategy based on the plot object and supports exporting a figure to multiple formats in one call. Also provides font configuration and diagnostics, reusable figure presets, publication-oriented themes, and colour palettes. The 'ggplot2' graphics framework is described by Wickham (2016, ISBN:978-3-319-24277-4).