Awesome ggplot2
A curated list of awesome ggplot2 tutorials, packages, extensions, and resources for data visualization in R.
What is Awesome ggplot2?
Awesome ggplot2 is a curated GitHub repository that aggregates resources for the ggplot2 data visualization package in R. It provides a structured directory of extensions, tutorials, books, and tools to help users create publication-quality graphics. The project solves the problem of discovering and evaluating the vast ecosystem of ggplot2-related packages and learning materials.
R developers, data scientists, statisticians, and researchers who use ggplot2 for data visualization and want to extend their capabilities or learn best practices. It's particularly valuable for those seeking specialized geoms, themes, or advanced visualization techniques.
Unlike scattered documentation or package lists, Awesome ggplot2 offers a meticulously organized, community-vetted resource that saves hours of searching. It provides immediate access to both popular and niche extensions while connecting users with high-quality learning materials from trusted sources.
Overview
A curated list of awesome ggplot2 tutorials, packages etc.
Use Cases
Best For
- Finding ggplot2 extensions for specific visualization types like sankey diagrams, chord plots, or geographic maps
- Learning ggplot2 through structured tutorials, books, and online courses
- Discovering themes and color palettes to improve plot aesthetics
- Exploring interactive ggplot2 visualizations for dashboards and web applications
- Comparing ggplot2-inspired visualization libraries in Python and Julia
- Staying updated with new packages and best practices in the ggplot2 ecosystem
Not Ideal For
- Teams needing interactive package demos or live code examples to evaluate ggplot2 extensions before implementation
- Projects requiring automated dependency management or real-time package compatibility checks, as the list is manually curated
- Beginners seeking structured, step-by-step tutorials without the overwhelm of hundreds of package options
- Users looking for integrated community forums or rating systems to gauge package popularity and stability
Pros & Cons
Pros
Lists hundreds of ggplot2 extensions across categories like plot layers, themes, and spatial data, providing a one-stop shop for specialized visualizations as evidenced by the extensive R packages section.
Aggregates high-quality books, online courses, and tutorials for all skill levels, saving users from scouring the web for reliable ggplot2 education materials.
Includes resources for ggplot2-inspired libraries in Python (plotnine) and Julia (Gadfly.jl, TidierPlots.jl), bridging gaps for data scientists working across programming languages.
Highlights key developers and contributors, fostering recognition and helping users identify authoritative sources within the ggplot2 community.
Cons
As a GitHub repository, updates depend on contributor pull requests, which can lag behind new package releases or changes in the fast-moving ggplot2 ecosystem.
Does not include user ratings, stability scores, or version compatibility information, leaving users to independently vet packages for reliability and fit.
The sheer volume of packages and resources, while comprehensive, can be daunting for beginners without prioritized or filtered recommendations based on simplicity or popularity.
Frequently Asked Questions
Related Projects
r-color-palettesComprehensive list of color palettes available in R ❤️🧡💛💚💙💜
Top 50 ggplot2 Visualizations - The Master List (With Full R Code)This tutorial helps you choose the right type of chart for your specific objectives and how to implement it in R using ggplot2. Author: Selva Prabhakaran
The R Graph GalleryA collection of charts made with the R programming language. Author: Yan Holtz
ggplot2 extensions - galleryMaintained by Daniel Emaasit
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.