General
Persons (+ twitter)
- Hadley Wickham (@hadleywickham)
- Kieran Healy (@kjhealy)
- Claus Wilke (@ClausWilke)
- Thomas Lin Pedersen (@thomasp85)
- Winston Chang
- Lionel Henry (@_lionelhenry)
- Kara Woo (@kara_woo)
- Hiroaki Yutani (@yutannihilat_en)
- Dewey Dunnington (@paleolimbot)
R packages
Geometrics
- {ggalluvial}: ggplot2 extension for alluvial plots
- {ggalt}: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'
- {ggbeeswarm}: Column scatter / beeswarm-style plots in ggplot2
- {ggbump}: A geom for ggplot to create bump plots
- {ggcal}: Generate simple calendar plots using ggplot2
- {ggchicklet}: Create Chicklet (Rounded Segmented Column) Charts
- {ggeconodist}: Create Diminutive Distribution Charts
- {ggdag}: An R Package for visualizing and analyzing causal directed acyclic graphs
- {ggExtra}: Add marginal histograms to ggplot2, and more ggplot2 enhancements
- {gggibbous}: Moon charts, a pie chart alternative, for ggplot2
- {gghalves}: Easy half-half geoms in ggplot2
- {ggparliament}: Simple parliament plots using ggplot2
- {ggpointdensity}: A Cross Between a Scatter Plot and a 2D Density Plot
- {ggsoccer}: Plot soccer event data in R/ggplot2
- {ggpubr}: 'ggplot2' Based Publication Ready Plots
- {ggradar}: radar charts with ggplot2
- {ggraph}: A grammar of graphics for relational data
- {ggrepel}: Repel overlapping text labels away from each other
- {ggridges}: Ridgeline plots in ggplot2
- {ggsignif}: Easily add significance brackets to your ggplots
- {ggthreed}: 3d geoms and stats for ggplot
- {ggtree}: Visualization and annotation of phylogenetic trees
- {ggwaffle}: Creating waffle charts in a ggplot friendly way
- {ggweekly}: Easy, printable, custom calendars and week planners
- {ggwordcloud}: A word cloud geom for ggplot2
- {treemapify}: Draw treemaps in ggplot2
- {waffle}: Make waffle (square pie) charts in R
Themes and aesthetics
- {bbplot}: R package that helps create and export ggplot2 charts in the style used by the BBC News data team
- {ggdark}: Dark mode for ggplot2 themes
- {ggeasy}: Easy Access to 'ggplot2' Commands
- {ggfittext}: ggplot2 geoms to fit text into boxes
- {gghighlight}: Highlight points and lines in ggplot2
- {gglaplot}: Makes graphics in the GLA style using ggplot2
- {ggnewscale}: Multiple Fill and Color Scales in 'ggplot2'
- {ggpomological}: Pomological plot theme for ggplot2
- {ggrough}: Convert ggplot2 chart to roughjs
- {ggsci}: Scientific journal and sci-fi themed color palettes for ggplot2
- {ggtech}: ggplot2 tech themes, scales, and geoms
- {ggtext}: Improved text rendering support for ggplot2
- {ggtextures}: Drawing textured rectangles and bars with ggplot
- {ggthemes}: Additional themes, scales, and geoms for ggplot2
- {ggthemr}: Themes for ggplot2
- {hrbrthemes}: Opinionated, typographic-centric ggplot2 themes and theme components
- {paletteer}: Collection of most color palettes in a single R package
- {tvthemes}: ggplot2 themes and palettes based on your favorite TV shows
- {urbnthemes}: Urban Institute's ggplot2 theme and tools
Presentation, composition and scales
- {cowplot}: Streamlined Plot Theme and Plot Annotations for ggplot2
- {geofacet}: R package for geographical faceting with ggplot2
- {gganimate}: A Grammar of Animated Graphics
- {ggannotate}: Interactively annotate ggplots
- {ggforce}: Accelerating ggplot2
- {ggiraph}: Make 'ggplot' Graphics Interactive
- {ggupset}: Combination matrix axis for 'ggplot2' to create 'UpSet' plots
- {patchwork}: The Composer of ggplots
- {plotly}: An interactive graphing library for R
- {scales}: Tools for ggplot2 scales
Spatial
- {ggcounty}: Generate ggplot2 geom_map county maps
- {ggmap}: A package for plotting maps in R with ggplot2
- {ggsn}: R package to add north symbols and scale bars to maps created with ggplot or ggmap
- {ggspatial}: Enhancing spatial visualization in ggplot2
- {urbnmapr}: US state and county maps with Alaska and Hawaii
Icons and images
Data and models
- {GGally}: R package that extends ggplot2
- {ggeffects}: Tidy Data Frames of Marginal Effects for ggplot2
- {ggfortify}: Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages
- {ggRandomForest}: Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages
- {ggstatsplot}: Enhancing 'ggplot2' plots with statistical analysis
- {tidybayes}: Bayesian analysis + tidy data + geoms
Books
- Data Visualization: A practical introduction
- Data Visualization with R
- Fundamentals of Data Visualization
- ggplot2: Elegant Graphics for Data Analysis
Book chapters
- Cookbook for R: Graphs
- R for Data Science: Data visualisation
- Modern Statistics for Modern Biology: High Quality Graphics in R
- Quantitative Politics with R: Introduction to ggplot2
Online Courses
Galleries
Tutorials
-
Beginner, introduction
- A Simple Introduction to the Graphing Philosophy of ggplot2
- Aesthetics, Geoms, Mappings, Scales, What?
- An Introduction on How to Make Beautiful Charts With R and ggplot2
- ggplot2 Quickref
- Beautiful plotting in R: A ggplot2 cheatsheet
- Top 50 ggplot2 Visualizations - The Master List (With Full R Code)
- A ggplot2 Tutorial for Beautiful Plotting in R
- Statistical tools for high-throughput data analysis: ggplot2 - Essentials
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Theme customisation
- 10 Levels of ggplot2: From Basic to Beautiful
- Changing Glyph in legend in ggplot2
- Custom themes in ggplot2
- How to make any plot look better
- Creating corporate colour palettes for ggplot2
- Label line ends in time series with ggplot2
- Data Viz with Python and R: ggplot2
- The Evolution of a ggplot (Ep. 1)
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Geometrics
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Spatial
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Presentation
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Statistics
