Awesome ggplot2

General

• Official website
  • Reference
• A List of ggplot2 extensions

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

Plot layers

• {biscale}: Bivariate Mapping with ggplot2
• {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
• {deeptime}: Plotting Tools for Anyone Working in Deep Time
• {easyalluvial}: Create alluvial plots with a single line of code
• {econocharts}: Economics charts in R using ggplot2
• {ganttrify}: Create beautiful Gantt charts with ggplot2
• {geomtextpath}: Create curved text paths in ggplot2
• {ggalignment}: R package for creating D&D alignment charts
• {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
• {ggarchery}: Flexible segment geoms with arrows for ggplot2
• {ggarrow}: ggplot2 extension: more options for drawing arrows
• {ggbeeswarm}: Column scatter / beeswarm-style plots in ggplot2
• {ggblanket}: Simplify ggplot2 visualisation
• {ggblend}: Support for blend modes in ggplot2
• {ggblur}: Blurry Point Geom for ggplot2
• {ggborderline}: Provides a set of geoms to make line plots a little bit nicer
• {ggbraid}: Braid two lines and a ribbon in ggplot2
• {ggbrain}: R package for creating plots of brains using ggplot
• {ggbump}: A geom for ggplot to create bump plots
• {ggcalendar}: x and y position as days in month
• {ggchicklet}: Create Chicklet (Rounded Segmented Column) Charts
• {ggconsort}: An R package for creating CONSORT diagrams with ggplot
• {ggcorrplot}: Visualization of a correlation matrix using ggplot2
• {ggcorr}: Correlation matrixes with ggplot2
• {ggcorset}: Introducing corset plots
• {ggpcp}: Parallel Coordinate Plots in the 'ggplot2' Framework
• {ggdemetra}: ggplot2 extension for seasonal and trading day adjustment with RJDemetra
• {ggdensity}: An R package for interpretable visualizations of density estimates
• {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
• {ggflowchart}: R package for producing flowcharts using ggplot2
• {ggfreehand}: Add freehand circles to ggplot2 graphs
• {gggenes}: Draw gene arrow maps in ggplot2
• {gggenomes}: A grammar of graphics for comparative genomics
• {gggibbous}: Moon charts, a pie chart alternative, for ggplot2
• {gghalves}: Easy half-half geoms in ggplot2
• {gghdr}: Plots of highest density regions (HDR) for ggplot2
• {gghilbertstrings}: Create Hilbert curves in ggplot2
• {ggHoriPlot}: build horizon plots in ggplot2
• {ggimg}: Graphics Layers for Plotting Image Data with 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
• {ggmsa}: a visual exploration tool for multiple sequence alignment and associated data
• {ggmulti}: Package for adding some multivariate visualizations to ggplot2
• {ggpackets}: Cleaner composition of ggplot layers
• {ggparliament}: Simple parliament plots using ggplot2
• {ggplateplot}: make plots resembling cell culture microwell plates
• {ggpointdensity}: A Cross Between a Scatter Plot and a 2D Density Plot
• {ggpointgrid}: Rearrange scatter plot points on a regular grid
• {ggpointless}: A point layer to emphasize some observations
• {ggpolar}: Dots and Their Connections in Polar Coordinate System
• {ggsector}: Use R language to draw sector
• {ggshadow}: Shadow Geoms for ggplot2
• {ggshakeR}: An analysis and visualization R package that works with publicly available soccer data
• {ggsoccer}: Plot soccer event data in R/ggplot2
• {ggspectra}: Plotting spectra with ggplot2
• {ggstamp}: stamp_* as an API for annotation layers
• {ggstance}: Horizontal ggplot2 components
• {ggpage}: Creates Page Layout Visualizations in R
• {ggperiodic}: Easy plotting of periodic data with ggplot2
• {ggplate}: Create Layout Plots of Biological Culture Plates and Microplates
• {ggpol}: Parliament diagrams and more for ggplot2
• {ggpolypath}: Polygons with holes for ggplot2
• {ggpp}: Grammar of graphics extensions to 'ggplot2'
• {ggpubr}: 'ggplot2' Based Publication Ready Plots
• {ggquiver}: R package for quiver plots in 'ggplot2'
• {ggqr}: ggplot2 geom for QR codes
• {ggradar}: radar charts with ggplot2
• {ggrain}: Make beautiful Raincloud plots in R
• {ggraph}: A grammar of graphics for relational data
• {ggrastr}: Raster geoms for ggplot2
• {ggrepel}: Repel overlapping text labels away from each other
• {ggreverse}: Reverse a ggplot object back into code
• {ggrgl}: 3D Graphics Using the Grammar of Graphics
• {ggridges}: Ridgeline plots in ggplot2
• {ggrounded}: Rounded Bar Plots
• {ggsankey}: The goal of ggsankey is to make beautiful sankey, alluvial and sankey bump plots in ggplot2
• {ggseqplot}: Render Sequence Plots using 'ggplot2'
• {ggside}: ggplot2 extension allowing for plotting various geometries as side panels
• {ggsignif}: Easily add significance brackets to your ggplots
• {ggsolar}: Generate "solar system" plots with {ggplot2}
• {ggstraw}: geom_straw for ggplot2
• {ggstream}: A package to make streamplots
• {ggsvg}: Use SVG images as ggplot points
• {ggtda}: ggplot2 extension to visualize persistent homology
• {ggtern}: An extension to ggplot2, for the creation of ternary diagrams
• {ggtikz}: Add TikZ annotations with absolute data or relative plot coordinates to ggplots
• {ggTimeSeries}: Time series visualisation
• {ggthreed}: 3d geoms and stats for ggplot
• {ggtree}: Visualization and annotation of phylogenetic trees
• {ggtrendline}: An R Package for Adding Trendline and Confidence Interval to "ggplot"
• {ggtricks}: Create Sector and Other Charts Easily Using Grammar of Graphics
• {ggvenn}: Venn Diagram by ggplot2, with really easy-to-use API
• {ggVennDiagram}: A 'ggplot2' implement of Venn Diagram
• {ggvoronoi}: Easy Voronoi diagram heatmaps with ggplot2
• {ggvwline}: Layer functions for drawing variable-width curves
• {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
• {jjPlot}: funny geom/stat functions for visualization
• {likert}: Analysis and Visualization Likert Items
• {linkET}: Toolbox for heatmap and mantel test plot.
• {parttree}: Simple package for plotting decision tree partitions in R
• {patternplot}: Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots using Patterns, Colors and Images
• {scattermore}: very fast scatterplots for R
• {see}: Visualisation toolbox for beautiful and publication-ready figures
• {shadowtext}: shadow text for grid and ggplot2
• {treemapify}: Draw treemaps in ggplot2
• {visdat}: Preliminary Exploratory Visualisation of Data
• {vistime}: Pretty timelines in R
• {waffle}: Make waffle (square pie) charts in R
• {WVPlots}: Pre-packaged plots 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
• {ButterflyColors}: Color palette for data visualization based on butterfly species
• {colorBlindnessSafe}: Color Set for Color Blindness
• {cols4all}: Colors for all (R package)
• {cyberpunk}: A function to create cyberpunk-style graphs with R based on ggplot2
• {darknerdthemes}: Dark ggplots themes for nerds
• {duke}: Creating a Color-Blind Friendly Duke Color Package
• {ggdc}: Datacamp Themes for ggplot2
• {ggcharts}: Get You to Your Desired Plot Faster
• {ggcute}: Cute things for ggplot2
• {ggdark}: Dark mode for ggplot2 themes
• {ggchromatic}: Colour and fill scales for 'ggplot2' using colour spaces
• {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
• {gglaplot}: Makes graphics in the GLA style using ggplot2
• {ggnewscale}: Multiple Fill and Color Scales in 'ggplot2'
• {ggokabeito}: Colorblind-friendly, qualitative Okabe-Ito Scales for ggplot2 and ggraph
• {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
• {ggseg}: Plotting tool for brain atlases, in ggplot
• {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
• {harrypotter}: Harry Potter inspired palette for R
• {hrbrthemes}: Opinionated, typographic-centric ggplot2 themes and theme components
• (lemon): Freshing up your ggplots
• {mdthemes}: Markdown Themes for 'ggplot2'
• {MexBrewer}: Color Palettes Inspired by Works Mexican Muralists
• {monochromeR}: A package for creating monochrome colour palettes and easily converting rgba values to hex codes
• {NatParksPalettes}: Color palette package inspired by National Parks
• {paletteer}: Collection of most color palettes in a single R package
• {pilot}: A minimal ggplot2 theme with an accessible discrete color palette
• {peRReo}: R color palettes inspired by reggaeton and latin albums
• {PrettyCols}: R package containing pretty colour palettes.
• {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

• {camcorder}: Record plots generated during an R session and replay as a gif!
• {cowplot}: Streamlined Plot Theme and Plot Annotations for ggplot2
• {deeptime}: Plotting Tools for Anyone Working in Deep Time
• {egg}: (fragile) extensions for ggplot2
• {facetious}: Home to some alternate facetting for ggplot2
• {facetscales}: facet_grid with different scales per facet
• {figpatch}: Easily Arrange Images with Patchwork Alongside ggplot2 Figures
• {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
• {ggbreak}: Set Axis Break for 'ggplot2'
• {ggcolormeter}: A ggplot2 color/fill legend guide extension in the style of a dashboard meter
• {ggfocus}: A 'ggplot2' extension that provides tools for automatically creating scales to focus on subgroups
• {ggforce}: Accelerating ggplot2
• {ggformula}: Provides a formula interface to 'ggplot2' graphics
• {gggrid}: Accessing 'grid' from 'ggplot2'
• {ggh4x}: ggplot extension: options for tailored facets, multiple colourscales and miscellaneous
• {gghighlight}: Highlight points and lines in ggplot2
• {gglabeller}: Shiny gadget for labeling points on ggplot
• {ggmagnify}: Create a magnified inset of part of a ggplot object
• {ggNestedBarChart}: An easier way to create nested, grouped, heirarchical bar charts with ggplot2
• {ggplotify}: Convert plot to grob and ggplot object
• {ggProfessional}: Manage ggplot themes, colors, logos and exporting
• {ggragged}: Ragged Grids for ggplot2
• {ggtrace}: Programmatically inspect, debug, and manipulate ggproto methods
• {ggtrack}: Add tracking banner to plots
• {gguidance}: additional guides to the ggplot2 ecosystem
• {ggupset}: Combination matrix axis for 'ggplot2' to create 'UpSet' plots
• {ggview}: Ggplot picture previewer
• {gtable}: The layout packages that powers ggplot2
• {jjAnno}: An annotation package for ggplot plot
• {patchwork}: The Composer of ggplots
• {relayer}: Rethinking layers in ggplot2
• {scales}: Tools for ggplot2 scales
• {showtext}: Using Fonts More Easily in R Graphs
• {tagger}: Add tags to ggplot2 facets

Interactive

• {ggiraph}: Make 'ggplot' Graphics Interactive
• {ggtips}: Adds interactive tooltip boxes to ggplots (standalone or rendered in Shiny)
• {plotly}: An interactive graphing library for R

Network

• {geomnet}: Network visualization in the ggplot2 framework
• {ggnet}: Network visualization with ggplot2
• {ggnetwork}: Geoms to plot networks with ggplot2
• {graphlayouts}: New layout algorithms for network visualizations in R
• {qgraph}: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Spatial

• {bertin}: Transform choropleth maps into valued points
• {eumaps}: An R package that provides easy-to-use tools for making professional-quality choropleth maps of the European Union (EU)
• {ggautomap}: Create ggplot maps from a column of place names
• {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
• {ggsflabel}: Labels for 'sf' 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
• {layer}: Create stacked tilted maps
• {mapSpain}: Administrative Boundaries of Spain
• {metR}: Tools for Easier Analysis of Meteorological Fields
• {mxmaps}: An R package for making maps of Mexico
• {plotDK}: Plot Summary Statistics as Choropleth Maps of Danish Administrative Areas
• {rayshader}: R Package for 2D and 3D mapping and data visualization
• {starBliss}: Create beautiful, print quality maps of the night sky in R
• {sugarbag}: An R package to create tessellated hexagon maps of Australia
• {tidyterra}: tidyverse and ggplot2 methods for terra spatial objects
• {urbnmapr}: US state and county maps with Alaska and Hawaii

Icons, patterns and images

• {cropcircles}: Crop an image into a circle with a transparent background
• {emoGG}: Emoji in ggplot2
• {ggflags}: A flag geom for ggplot2
• {ggimage}: Use Images in ggplot2
• {ggpath}: Robust Image Rendering Support for 'ggplot2'
• {ggpattern}: ggplot geoms with pattern fills

Data and models

• {edgebundle}: R package implementing edge bundling algorithms
• {distributional}: Vectorised distributions for R
• {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'
• {ggDoE}: Modern Graphs for Design of Experiments with ggplot2
• {ggeffects}: Tidy Data Frames of Marginal Effects for ggplot2
• {ggESDA}: An R package for Exploratory Symbolic Data Analysis using ggplot2
• {ggfortify}: Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages
• {gginnards}: R package extending 'ggplot2' with manipulation and debugging tools
• {ggip}: R package to visualize IP data
• {gglm}: Grammar of Graphics for Linear Model Diagnostic Plots
• {ggmice}: Visualize incomplete and imputed data
• {ggols}: visual expositions of simpler linear models
• {ggparty}: ggplot2 visualizations for the partykit package
• {ggpmisc}: R package ggpmisc is an extension to ggplot2 and the Grammar of Graphics
• {ggpval}: Add statistical test or annotation to your ggplot2 plots
• {grafify}: Easy Graphs for Data Visualisation and Linear Models for ANOVA
• {gratia}: ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
• {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
• {ggseas}: seasonal adjustment on the fly extension for ggplot2
• {ggstatsplot}: Enhancing 'ggplot2' plots with statistical analysis
• {ggsurvfit}: Easy and Flexible Time-To-Event Figures
• {interactions}: A comprehensive, user-friendly toolkit for visualizing and analyzing statistical interactions
• {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
• {metrica}: Prediction Performance Metrics
• {mlr3viz}: Visualizations for mlr3
• {naniar}: Tidy data structures, summaries, and visualisations for missing data
• {performance}: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
• {plotROC}: Interactive ROC plots with ggplot + d3.js
• {ppsr}: R implementation of Predictive Power Score
• {SBC}: Simulation-based Calibration
• {sjPlot}: Data Visualization for Statistics in Social Science
• {superb}: Summary plots with adjusted error bars
• {survminer}: Survival Analysis and Visualization
• {tidybayes}: Bayesian analysis + tidy data + geoms
• {treeheatr}: Heatmap-integrated Decision Tree Visualizations
• {visR}: A package to wrap functionality for plots, tables and diagrams adhering to graphical principles

Python packages

• {plotnine}: Python implementation of ggplot2 using matplotlib backend
• {patchworklib}: The Composer of plotnine ggplots
• {plotnine3d}: 3D Graphics using the grammar of graphics
• {adjustText}: ggrepel-inspired label placement for matplotlib (integrated with plotnine)

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
  • Tips and tricks for ggplot2

• Intermediate, general

  • Data visualization using ggplot2 (intermediate)
  • ggplot tricks
  • Iterative visualizations with ggplot2: no more copy-pasting

• Theme customisation

  • 3 alternatives to a discrete color scale legend in ggplot2
  • 10 Levels of ggplot2: From Basic to Beautiful
  • 10 Tips to Customize Text Color, Font, Size in ggplot2 with element_text()
  • 15 Tips to Customize lines in ggplot2 with element_line()
  • A complete guide to scales
  • Alternatives to Simple Color Legends in ggplot2
  • Bar plot checklist
  • Changing Glyph in legend in ggplot2
  • Creating and using custom ggplot2 themes
  • Custom colour palettes for {ggplot2}
  • Custom themes in ggplot2
  • ggplot Wizardry Hands-On
  • How to build a Tufte-style weather graph in R using ggplot2
  • How to make any plot look better
  • Making a ggplot theme
  • 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
  • Quick and easy ways to deal with long labels in ggplot2
  • Understanding text size and resolution in ggplot2
  • Variations on a ggtheme: Applying a unifying aesthetic to your plots
  • What we learned from creating a custom graphics package in R using ggplot2

• Plot layers

  • A Quick How-to on Labelling Bar Graphs in ggplot2
  • Annotated Forest Plots using ggplot2
  • Creating a cracked egg plot using {ggplot2} in R
  • Creating flowcharts with {ggplot2}
  • Exploring ggplot2 boxplots - Defining limits and adjusting style
  • Exploring other {ggplot2} geoms
  • ggpathway: A tutorial for pathway visualization using tidyverse, igraph, and ggraph
  • 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
  • Plot moving average in R using ggplot2
  • Pyramid Plots in ggplot2
  • Radial Patterns in ggplot2
  • Storytelling in ggplot using rounded rectangles
  • Visualizing Distributions with Raincloud Plots (and How to Create Them with ggplot2)
  • Visualizing ordinal variables
  • Waffle charts with svg images

• Regression models

  • Plot Prediction Interval in R using ggplot2
  • Sexy up your logistic regression model with logit dotplots

• Spatial

  • 6 easy ways to map population density in R
  • Bivariate maps with ggplot2 and sf
  • How to make fancy road trip maps with R and OpenStreetMap
  • Inset maps with ggplot2
  • Making Middle Earth maps with R
  • Plot RGB satellite imagery in true-color with ggplot2 in R
  • Visualising the 2022 Australian federal election with geom_sugarbag

• Interactive

  • Creating interactive visualizations with {ggiraph} (with or without Shiny)

• Presentation

  • Align multiple ggplot2 plots by axis
  • Combining plots in ggplot2
  • Designing ggplots: making clear figures that communicate
  • How to use natural and base 10 log scales in ggplot2
  • Layered Presentation of Graphics with +aes() in ggplot2
  • Label line ends in time series with ggplot2
  • Reordering and facetting for ggplot2
  • Save space in faceted plots
  • Self-documenting plots in ggplot2

• Statistics

  • Summary statistics
  • Demystifying stat_ layers in {ggplot2}

Video tutorials

• Beginner/intermediate

  • ggplot2 workshop part 1
  • ggplot2 workshop part 2
  • A short introduction to grammar of graphics (via ggplot2)

• Customization

  • How to fix the sizes in your ggplots
  • How to make Boxplots in R More Informative (ggplot2 and Extension Packages)
  • ggplot2 Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R
  • Beyond Bar and Box Plots: Chart Alternatives and How to Design Them with ggplot2
  • Perfect Bar Charts in 150 Seconds

• Packages

  • Building a ggplot2 rollercoaster: Creating amazing 3D data visualizations in R
  • esquisse: ggplot2 builder with Tableau Drag-and-Drop Interface
  • How to Plot Statistical Group Comparisons in R: ggstatsplot

TidyTuesday

• Official repository

• Popular submissions

  • Deepali Kank
  • Georgios Karamanis
  • Cédric Scherer
  • Christophe Nicault
  • Nicola Rennie
  • Ryan Hart
  • Tanya Shapiro

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
• awesome-r-dataviz
• Comparing ggplot2 and R Base Graphics
• Most upvoted ggplot2 questions on Stack Overflow