Awesome ggplot2

General

• Official website
  • Reference
• Cheat Sheet: Data Visualization with ggplot2

Persons (+ twitter)

• Hadley Wickham (@hadleywickham)
• Kieran Healy (@kjhealy)
• Claus Wilke (@ClausWilke)
• Thomas Lin Pedersen (@thomasp85)
• Winston Chang (@winston_chang)
• Lionel Henry (@_lionelhenry)
• Kara Woo (@kara_woo)
• Hiroaki Yutani (@yutannihilat_en)
• Dewey Dunnington (@paleolimbot)

R packages

Geometrics

• {calendR}: Fully customizable ready to print monthly and yearly calendars made with ggplot2
• {complex-upset}: A library for creating complex UpSet plots with ggplot2 geoms
• {corrmorant}: R package for flexible correlation matrices based on ggplot2
• {easyalluvial}: Create alluvial plots with a single line of code
• {econocharts}: Economics charts in R using ggplot2
• {geomnet}: Network visualization in the ggplot2 framework
• {ggalluvial}: ggplot2 extension for alluvial plots
• {ggalt}: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for ‘ggplot2’
• {ggambit}: Visualise FEN chess positions with ggplot2
• {gganatogram}: Create anatograms using ggplot2
• {ggbeeswarm}: Column scatter / beeswarm-style plots in ggplot2
• {ggblur}: Blurry Point Geom for ggplot2
• {ggbump}: A geom for ggplot to create bump plots
• {ggchicklet}: Create Chicklet (Rounded Segmented Column) Charts
• {ggcor}: Extended tools for correlation analysis and visualization.
• {ggeconodist}: Create Diminutive Distribution Charts
• {ggdag}: An R Package for visualizing and analyzing causal directed acyclic graphs
• {ggdist}: Visualizations of distributions and uncertainty
• {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
• {gghilbertstrings}: Create Hilbert curves in ggplot2
• {ggkeyboard}: Make a keyboard using ggplot2
• {ggmacc}: R package repository for building marginal abatement cost curves with ggplot2
• {ggmosaic}: Mosaicplots in the ggplot2 framework
• {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
• {ggspectra}: Plotting spectra with ggplot2
• {ggpage}: Creates Page Layout Visualizations in R
• {ggpol}: Parliament diagrams and more for ggplot2
• {ggpolypath}: Polygons with holes for ggplot2
• {ggpubr}: ‘ggplot2’ Based Publication Ready Plots
• {ggradar}: radar charts with ggplot2
• {ggraph}: A grammar of graphics for relational data
• {ggrastr}: Raster geoms for ggplot2
• {ggrepel}: Repel overlapping text labels away from each other
• {ggrgl}: 3D Graphics Using the Grammar of Graphics
• {ggridges}: Ridgeline plots in ggplot2
• {ggside}: ggplot2 extension allowing for plotting various geometries as side panels
• {ggsignif}: Easily add significance brackets to your ggplots
• {ggstream}: A package to make streamplots
• {ggtda}: ggplot2 extension to visualize persistent homology
• {ggTimeSeries}: Time series visualisation
• {ggthreed}: 3d geoms and stats for ggplot
• {ggtree}: Visualization and annotation of phylogenetic trees
• {ggvenn}: Venn Diagram by ggplot2, with really easy-to-use API
• {ggVennDiagram}: A ‘ggplot2’ implement of Venn Diagram
• {ggwaffle}: Creating waffle charts in a ggplot friendly way
• {ggweekly}: Easy, printable, custom calendars and week planners
• {ggwordcloud}: A word cloud geom for ggplot2
• {ggxmean}: Put a vertical line at the mean of x w/ geom_xmean() and do other stuff
• {parttree}: Simple package for plotting decision tree partitions in R
• {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
• {cyberpunk}: A function to create cyberpunk-style graphs with R based on ggplot2
• {ggcharts}: Get You to Your Desired Plot Faster
• {ggdark}: Dark mode for ggplot2 themes
• {ggCyberPunk}: Working on creating a similar cyberpunk geom for ggplot
• {ggeasy}: Easy Access to ‘ggplot2’ Commands
• {ggedit}: Interactively edit ggplot layer aesthetics and theme definitions
• {ggfittext}: ggplot2 geoms to fit text into boxes
• {ggfx}: ggfx is a (currently experimantal) package that allows the use of various filters and shaders on ggplot2 layers
• {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
• {ggprism}: ggplot2 extension inspired by GraphPad Prism
• {ggrough}: Convert ggplot2 chart to roughjs
• {ggsci}: Scientific journal and sci-fi themed color palettes for ggplot2
• {ggstar}: Star layer 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
• {mdthemes}: Markdown Themes for ‘ggplot2’
• {paletteer}: Collection of most color palettes in a single R package
• {rockthemes}: R colour palettes based on classic rock albums and some other ones
• {savonliquide}: Check for Color Contrast Accessibility in R
• {soilpalettes}: R color palettes inspired by soil profiles
• {thematic}: Unified and automatic theming of ggplot2, lattice, and base R graphics
• {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
• {facetscales}: facet_grid with different scales per facet
• {geofacet}: R package for geographical faceting with ggplot2
• {gganimate}: A Grammar of Animated Graphics
• {ggannotate}: Interactively annotate ggplots
• {ggbillboard}: A package to fill vacant ggplot2 facets with images
• {ggfocus}: A ‘ggplot2’ extension that provides tools for automatically creating scales to focus on subgroups
• {ggforce}: Accelerating ggplot2
• {ggh4x}: ggplot extension: options for tailored facets, multiple colourscales and miscellaneous
• {gghighlight}: Highlight points and lines in 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
• {showtext}: Using Fonts More Easily in R Graphs
• {tagger}: Add tags to ggplot2 facets

Spatial

• {ggcounty}: Generate ggplot2 geom_map county maps
• {ggmap}: A package for plotting maps in R with ggplot2
• {ggOceanMaps}: Plot oceanographic research data on maps using ggplot2
• {ggsn}: R package to add north symbols and scale bars to maps created with ggplot or ggmap
• {ggspatial}: Enhancing spatial visualization in ggplot2
• {mapDK}: R package for making maps of Denmark
• {mapSpain}: Administrative Boundaries of Spain
• {metR}: Tools for Easier Analysis of Meteorological Fields
• {rayshader}: R Package for 2D and 3D mapping and data visualization
• {sugarbag}: An R package to create tessellated hexagon maps of Australia
• {urbnmapr}: US state and county maps with Alaska and Hawaii

Icons, patterns and images

• {emoGG}: Emoji in ggplot2
• {ggflags}: A flag geom for ggplot2
• {ggimage}: Use Images in ggplot2
• {ggpattern}: ggplot geoms with pattern fills

Data and models

• {edgebundle}: R package implementing edge bundling algorithms
• {FunnelPlotR}: Funnel plots for comparing institutional performance, with overdispersion adjustment
• {GGally}: R package that extends ggplot2
• {ggdendro}: Tools to extract dendrogram plot data for use with ‘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
• {ggip}: R package to visualize IP data
• {gglm}: Grammar of Graphics for Linear Model Diagnostic Plots
• {ggparty}: ggplot2 visualizations for the partykit package
• {ggpval}: Add statistical test or annotation to your ggplot2 plots
• {ggRandomForest}: Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages
• {ggResidpanel}: An R package for creating a panel of diagnostic plots for residuals from a model
• {ggstatsplot}: Enhancing ‘ggplot2’ plots with statistical analysis
• {jtools}: Tools for summarizing/visualizing regressions and other helpful stuff
• {KMunicate}: Create KMunicate-Style Plots
• {lindia}: Extension package of linear regression diagonostic plots in ggplot2
• {naniar}: Tidy data structures, summaries, and visualisations for missing data
• {sjPlot}: Data Visualization for Statistics in Social Science
• {survminer}: Survival Analysis and Visualization
• {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

• edX
  • Data Science: Visualization

Galleries

• ggplot2 extensions
• The R Graph Gallery
• R CHARTS

Text tutorials

• Beginner, introduction
  • a ggplot2 grammar guide
  • 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
  • Efficient and beautiful data synthesis: Taking your tidyverse skills to the next level
• Intermediate, general
  • Data visualization using ggplot2 (intermediate)
• Theme customisation
  • 10 Levels of ggplot2: From Basic to Beautiful
  • A complete guide to scales
  • Changing Glyph in legend in ggplot2
  • Creating and using custom ggplot2 themes
  • Custom themes in ggplot2
  • ggplot Wizardry Hands-On
  • 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)
  • ggplot2 Theme Elements Demonstration
• Geometrics
  • Exploring ggplot2 boxplots - Defining limits and adjusting style
  • Exploring other {ggplot2} geoms
  • Heatmaps in ggplot2
  • Make Multi-point “dumbbell” Plots in ggplot2
  • Real Emojis in ggplot2
  • Recreate a FiveThirtyEight Chicklet Stacked Bar Chart in ggplot2
  • geom_paired_raincloud(): A {ggplot2} geom for visualizing change in distribution between two conditions
  • Radial Patterns in ggplot2
• Spatial
  • Bivariate maps with ggplot2 and sf
  • Inset maps with ggplot2
• Presentation
  • Align multiple ggplot2 plots by axis
  • Designing ggplots: making clear figures that communicate
  • Layered Presentation of Graphics with +aes() in ggplot2
  • Label line ends in time series with ggplot2
• Statistics
  • Summary statistics
  • Demystifying stat_ layers in {ggplot2}

Video tutorials

• Beginner/intermediate
  • ggplot2 workshop part 1
  • ggplot2 workshop part 2
• Customization
  • How to make Boxplots in R More Informative (ggplot2 and Extension Packages)

Miscellaneous

• A generated list of repos containing themes for ggplot2
• All hail ggplot2—The code powering all those excellent charts is 10 years old
• Awesome R
• Comparing ggplot2 and R Base Graphics
• Most upvoted ggplot2 questions on Stack Overflow