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Curated resources about Data Visualization, Drawing & Publishing in R
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Curated resources about Data Visualization, Drawing & Publishing in R

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# awesome-r-dataviz 



> Curated resources for Data Visualization, Drawing & Publishing in R.



## ggplot



### Additional Plot Types

* [ggrgl](https://github.com/coolbutuseless/ggrgl) - 3d extension to ggplot.

* [waffle](https://github.com/hrbrmstr/waffle) - Make waffle (square pie) charts in R.

* [ggridges](https://github.com/clauswilke/ggridges) - Geoms to make ridgeline plots with ggplot2.

* [ggchicklet](https://github.com/hrbrmstr/ggchicklet) - Create Chicklet (Rounded Segmented Column) Charts.

* [ggdendro](https://github.com/andrie/ggdendro) - Tools to extract dendrogram plot data for use with ggplot.

* [ggcorrplot](https://github.com/kassambara/ggcorrplot) - Visualization of a correlation matrix using ggplot2. [[Tutorial]](http://www.sthda.com/english/wiki/ggcorrplot-visualization-of-a-correlation-matrix-using-ggplot2)

* [corrgram](https://github.com/kwstat/corrgram) -  A simple way to create correlograms from raw data or a correlation matrix.

* [ggradar](https://github.com/ricardo-bion/ggradar) - Radar charts with ggplot2 .

* [ggparty](https://github.com/martin-borkovec/ggparty) - ggplot2 visualizations for the [partykit](http://partykit.r-forge.r-project.org/partykit/) package.

* [ggmosaic](https://github.com/haleyjeppson/ggmosaic) - Mosaicplots in the ggplot2 framework.

* [ggbeeswarm](https://github.com/eclarke/ggbeeswarm) - Column scatter / beeswarm-style plots in ggplot2.

* [ggvoronoi](https://github.com/garretrc/ggvoronoi) - Easy Voronoi diagram heatmaps with ggplot2.

* [ggTimeSeries](https://github.com/shrektan/ggTimeSeries) - Taking time series visualisations beyond line charts.

* [ggupset](https://github.com/const-ae/ggupset) - Combination matrix axis for 'ggplot2' to create 'UpSet' plots.

* [UpSetR](https://github.com/hms-dbmi/UpSetR) - An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al.

* [complex-upset](https://github.com/krassowski/complex-upset) - A library for creating complex UpSet plots with ggplot2 geoms.

* [patternplot](https://cran.rstudio.com/web/packages/patternplot/index.html) -  Versatile Pie Charts, Bar Charts and Box Plots using Patterns, Colors and Images. [[Vignette]](https://cran.rstudio.com/web/packages/patternplot/vignettes/patternplot-intro.html)

* [ggstance](https://github.com/lionel-/ggstance) - Horizontal ggplot2 components.

* [ggthreed](https://github.com/coolbutuseless/ggthreed) - 3d geoms and stats for ggplot.

* [gggibbous](https://github.com/mnbram/gggibbous) - Moon charts, a pie chart alternative, for ggplot2.

* [ggweekly](https://github.com/gadenbuie/ggweekly) - Easy, printable, custom calendars and week planners.

* [gghdr](https://github.com/ropenscilabs/gghdr) -  Tools for plotting highest density regions in the ggplot2.

* [ggpointdensity](https://github.com/LKremer/ggpointdensity) - Cross Between a Scatter Plot and a 2D Density Plot.

* [ggstraw](https://github.com/nacnudus/ggstraw) - geom_straw for ggplot2.

* [ggVennDiagram](https://github.com/gaospecial/ggVennDiagram) - A 'ggplot2' implement of Venn Diagram.

* [ggblur](https://github.com/coolbutuseless/ggblur) - Blurry Point Geom for ggplot2.

* [ggbump](https://github.com/davidsjoberg/ggbump) - A geom for ggplot to create bump plots.

* [marginsplot](https://github.com/vincentarelbundock/marginsplot) - plot marginal effects and predicted values using the `margins` and `ggplot2`.

* [ggimg](https://github.com/statsmaths/ggimg) - The Missing Image Primative for ggplot2.

* [ggpattern](https://github.com/coolbutuseless/ggpattern/) - ggplot geoms with pattern fills.

* [ggfreehand](https://github.com/dgrtwo/ggfreehand) - Add freehand circles to ggplot2 graphs.

* [ganttrify](https://github.com/giocomai/ganttrify) - Create beautiful Gantt charts with ggplot2.

* [ggstream](https://github.com/davidsjoberg/ggstream) - A package to make streamplots.

* [bulletchartr](https://github.com/ACDIVOCATech/bulletchartr) - Builds bullet charts suitable for tracking KPIs.

* [treemapify](https://github.com/wilkox/treemapify) - Draw treemaps in ggplot2.

* [ggborderline](https://github.com/wurli/ggborderline) - Make line plots that *pop*.

* [ggbraid](https://github.com/nsgrantham/ggbraid) - Braid two lines and a ribbon in ggplot2.



### Themes

* [ggthemr](https://github.com/cttobin/ggthemr) - Themes for ggplot2.

* [ggthemes](https://github.com/jrnold/ggthemes) - Additional themes, scales, and geoms for ggplot2.

* [ggpomological](https://github.com/gadenbuie/ggpomological) - Pomological plot theme for ggplot2 .

* [ggtech](https://github.com/ricardo-bion/ggtech) - ggplot2 tech themes, scales, and geoms .

* [hrbrthemes](https://github.com/hrbrmstr/hrbrthemes) - Opinionated, typographic-centric ggplot2 themes and theme components.

* [vapoRwave](https://github.com/moldach/vapoRwave) - Vaporwave themes and color palettes for ggplot2.

* [tvthemes](https://github.com/Ryo-N7/tvthemes) - ggplot2 themes and palettes based on your favorite TV shows.

* [Rokemon](https://github.com/schochastics/Rokemon) - Pokemon themed R package.

* [visibly](https://github.com/m-clark/visibly) - Functions related to R visualizations.

* [xkcd](http://xkcd.r-forge.r-project.org/) - Graphs using the XKCD style (a webcomic of romance, sarcasm, math, and language). [[Tutorial]](https://github.com/cran/xkcd/blob/master/inst/doc/xkcd-intro.pdf)

* [ggrough](https://github.com/xvrdm/ggrough) - Convert ggplot2 chart to roughjs.

* [ggCorpIdent](https://github.com/INWTlab/ggCorpIdent) - A package for ggplot2 graphics in corporate design with custom fonts, colors and logo. [[Tutorial]](https://www.inwt-statistics.com/read-blog/ggcorpident.html)



### Palettes 🎨

* [paletteer](https://github.com/EmilHvitfeldt/paletteer) - Collection of most color palettes in a single R package.

* [randomcoloR](https://github.com/ronammar/randomcoloR) - An R package for generating attractive and distinctive colors.

* [fishualize](https://github.com/nschiett/fishualize) - Color scales based on nature’s most stunning and colorful organisms: teleost fishes.

* [harrypotter](https://github.com/aljrico/harrypotter) - A Harry Potter inspired palette for R.

* [wesanderson](https://github.com/karthik/wesanderson) - A Wes Anderson color palette for R.

* [nationalparkcolors](https://github.com/katiejolly/nationalparkcolors) - R package for color themes inspired by national parks.

* [dutchmasters](https://github.com/EdwinTh/dutchmasters) - Colour palettes derived from famous paintings by 17th century Dutch masters.

* [pals](https://github.com/kwstat/pals) - Color Palettes and Palette Evaluation Tools.

* [jcolors](https://github.com/jaredhuling/jcolors) - A set of color palettes I like (or can at least tolerate).

* [shades](https://github.com/jonclayden/shades) - Simple colour manipulation in R. [[Tutorial]](https://hughjonesd.github.io/tweaking-colours-with-the-shades-package.html)

* [colorspace](http://colorspace.r-forge.r-project.org/index.html) - A toolbox for manipulating and assessing colors and palettes.

* [tinter](https://github.com/poissonconsulting/tinter) - Get tints and shades (and both) of a colour.

* [colormind](https://github.com/dmi3kno/colormind) - Generate Color Palettes With AI (using colormind.io palette generator).

* [farver](https://github.com/thomasp85/farver) - High Performance Colourspace Manipulation in R.

* [tricolore](https://github.com/jschoeley/tricolore) - A flexible color scale for ternary compositions.

* [colorfindr](https://github.com/zumbov2/colorfindr) - Extracts colors from various image types, plots treemaps and 3D scatterplots.



### Domain-specific

* [ggparliament](https://github.com/RobWHickman/ggparliament) - Simple parliament plots using ggplot2.

* [ggsoccer](https://github.com/Torvaney/ggsoccer) - Plot soccer event data in R/ggplot2.

* [soccermatics](https://github.com/JoGall/soccermatics) - Tools for visualisation and analysis of soccer tracking and event data.

* [gganatogram](https://github.com/jespermaag/gganatogram) - Create anatograms using ggplot2.

* [rchess](https://github.com/jbkunst/rchess) - Chess package for R.

* [brickr](https://github.com/ryantimpe/brickr) - 3D LEGO models and mosaics from images using R and tidyverse.

* [desplot](https://github.com/kwstat/desplot) - Functions for plotting experimental designs of field trials in agriculture.

* [kinship2](https://github.com/sinnweja/kinship2) - Pedigree creation, plotting, and analytics. [[Vignette]](https://cran.r-project.org/web/packages/kinship2/vignettes/pedigree.html)

* [GeomMLBStadiums](https://github.com/bdilday/GeomMLBStadiums) - Geoms to draw MLB stadiums in ggplot2.

* [ggpacman](https://github.com/mcanouil/ggpacman) - A `ggplot2` and `gganimate` Version of Pac-Man.

* [gglcd](https://github.com/cj-holmes/gglcd) - About

Programmatic production of Liquid Crystal alignment diagrams.

* [econocharts](https://github.com/R-CoderDotCom/econocharts) - Microeconomic graphs in ggplot2.

* [sportyR](https://github.com/rossdrucker/sportyR) - R package for drawing regulation playing surfaces for several sports.

* [treeheatr](https://github.com/trang1618/treeheatr) - Heatmap-integrated Decision Tree Visualizations.

* [gggenes](https://github.com/wilkox/gggenes) - Draw gene arrow maps in ggplot2.

* [ggseqplot](https://github.com/maraab23/ggseqplot) - R library for visualizing (social science) sequence data using ggplot2.



### Text

* [ggtext](https://github.com/wilkelab/ggtext) - Improved text rendering support for ggplot2.

* [ggfittext](https://github.com/wilkox/ggfittext) - ggplot2 geoms to fit text into boxes.

* [wordcloud2](https://github.com/Lchiffon/wordcloud2) - R interface to wordcloud for data visualization.

* [ggrepel](https://github.com/slowkow/ggrepel) - Repel overlapping text labels away from each other.

* [shadowtext](https://github.com/GuangchuangYu/shadowtext) - Shadow Text Grob and Layer. [[Vignette]](https://cran.r-project.org/web/packages/shadowtext/vignettes/shadowtext.html)

* [geomtextpath](https://github.com/AllanCameron/geomtextpath) - Create curved text paths in ggplot2.

* [ggpath](https://github.com/mrcaseb/ggpath) - Enables robust image grobs in panels and theme elements.

* 

### Animations

* [gganimate](https://github.com/thomasp85/gganimate) - A Grammar of Animated Graphics.

* [animation](https://github.com/yihui/animation) - A gallery of animations in statistics and utilities to create animations.

* [tweenr](https://github.com/thomasp85/tweenr) - A package for interpolating data, mainly for animations.

* [transformr](https://github.com/thomasp85/transformr) - Smooth Polygon Transformations.



### Devices

* [Cairo](http://www.rforge.net/Cairo/) - Graphics device using cairographics library for creating bitmap images or output.

* [devout](https://github.com/coolbutuseless/devout) - Write R graphics output devices in plain R.

* [devoutsvg](https://github.com/coolbutuseless/devoutsvg) - Bespoke SVG graphics output device with pattern fill support.

* [devoutpdf](https://github.com/coolbutuseless/devoutpdf) - A hand-crafted PDF graphics output device written in plain R.

* [devoutaudio](https://github.com/coolbutuseless/devoutaudio) - An R graphics device which renders to audio.

* [devoid](https://github.com/r-lib/devoid) - A Graphic Device That Does Nothing (suitable for benchmarking functions).

* [devoutrgl](https://github.com/coolbutuseless/devoutrgl) - R graphics device to render to {rgl}.

* [ragg](https://github.com/r-lib/ragg) - AGG provides both higher performance and higher quality than the standard raster devices provided by grDevices.



### Miscellaneous

* [ggpmisc](https://cran.rstudio.com/web/packages/ggpmisc/) - Miscellaneous Extensions to `ggplot2`.

* [ggExtra](https://github.com/daattali/ggExtra) - Marginal histograms to ggplot2, and more ggplot2 enhancements.

* [ggreverse](https://github.com/coolbutuseless/ggreverse) - Reverse a ggplot object back into code.

* [datalegreyar](https://github.com/emitanaka/datalegreyar) - The typeface that melts text and data visualisation for R markdown.

* [dbplot](https://github.com/edgararuiz/dbplot) - Simplifies plotting of database and sparklyr data.

* [ggalt](https://github.com/hrbrmstr/ggalt) - Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'.

* [ggpubr](https://github.com/kassambara/ggpubr) - 'ggplot2' Based Publication Ready Plots.

* [patchwork](https://github.com/thomasp85/patchwork) - The Composer of ggplots.

* [ggally](https://github.com/ggobi/ggally) - R package that extends ggplot2. [[Tutorial]](http://www.sthda.com/english/wiki/ggally-r-package-extension-to-ggplot2-for-correlation-matrix-and-survival-plots-r-software-and-data-visualization)

* [ggforce](https://github.com/thomasp85/ggforce) - Accelerating ggplot2. [[Tutorial 1]](https://www.data-imaginist.com/2019/the-ggforce-awakens-again/) [[Tutorial 2]](https://rviews.rstudio.com/2019/09/19/intro-to-ggforce/)

* [gghighlight](https://github.com/yutannihilation/gghighlight) - Highlight points and lines in ggplot2.

* [ggnomics](https://github.com/teunbrand/ggnomics) - A small project to add ggplot2 extensions.

* [facetscales](https://github.com/zeehio/facetscales) - facet_grid with different scales per facet.

* [ggflags](https://github.com/ellisp/ggflags) - flag geom for ggplot2.

* [ggecho](https://github.com/coolbutuseless/ggecho) - ggplot2 stat for echoing data.

* [ggfx](https://github.com/thomasp85/ggfx) - Filters and Shaders for 'ggplot2'.

* [ggboy](https://github.com/cj-holmes/ggboy) - Simulating Game Boy DMG-01 graphics.

* [ggframe](https://github.com/moodymudskipper/ggframe) - data frames that print as ggplots.

* [ggwrap](https://github.com/wilkox/ggwrap) - Wrap ggplot2 plots over multiple rows.

* [ggsvg](https://github.com/coolbutuseless/ggsvg) - Use SVG images as ggplot points.

* [ggblend](https://github.com/mjskay/ggblend) - Support for blend modes in ggplot2.

* [easyalluvial](https://github.com/erblast/easyalluvial/) - Create alluvial plots with a single line of code.

* [parcats](https://github.com/erblast/parcats) - htmlwidget that creates plotly parallel categories diagrams from easyalluvial plots.



## Interactive plots

* [plotly](https://github.com/ropensci/plotly) - An interactive graphing library for R.

* [rbokeh](https://github.com/bokeh/rbokeh) - R interface to Bokeh.

* [ggiraph](https://github.com/davidgohel/ggiraph) - Make 'ggplot' graphics interactive.

* [highcharter](https://github.com/jbkunst/highcharter) - R wrapper for highcharts based on htmlwidgets.

* [dygraphs](https://github.com/rstudio/dygraphs) - R interface to dygraphs.

* [rCharts](https://github.com/ramnathv/rCharts) - Interactive JS Charts from R.

* [billboarder](https://github.com/dreamRs/billboarder) - R Htmlwidget for billboard.js.

* [scatterD3](https://github.com/juba/scatterD3) - R scatter plot htmlwidget based on D3.js.

* [trelliscopejs](https://github.com/hafen/trelliscopejs) - TrelliscopeJS R Package.

* [googleVis](https://github.com/mages/googleVis) - Interface between R and the Google Chart Tools.



## Network Visualization

* [geomnet](https://github.com/sctyner/geomnet) - Network Visualization in the ggplot2 Framework.

* [graphlayouts](https://github.com/schochastics/graphlayouts) - New layout algorithms for network visualizations in R.

* [visNetwork](https://github.com/datastorm-open/visNetwork) - R package, using vis.js library for network visualization.

* [ggraph](https://github.com/thomasp85/ggraph) - Grammar of Graph Graphics.

* [ggdag](https://github.com/malcolmbarrett/ggdag) - An R package for working with causal directed acyclic graphs (DAGs).



## Spatial Visualization

* [ggmap](https://github.com/dkahle/ggmap) - A package for plotting maps in R with ggplot2.

* [tmap](https://github.com/mtennekes/tmap) - R package for thematic maps.

* [leaflet](https://github.com/rstudio/leaflet) - R Interface to Leaflet Maps.

* [globe4r](https://github.com/JohnCoene/globe4r) - Interactive globe visualisations.

* [urbnmapr](https://github.com/UrbanInstitute/urbnmapr) - State and county maps with Alaska and Hawaii.

* [cartography](https://github.com/riatelab/cartography) - Thematic Cartography. [[Vignette]](https://cran.r-project.org/web/packages/cartography/vignettes/cartography.html)

* [mapextrud](https://github.com/neocarto/mapextrud) - Build Extruded Maps in R.

* [geofacet](https://hafen.github.io/geofacet/) - R package for geographical faceting with ggplot2.

* [zonebuilder](https://github.com/zonebuilders/zonebuilder) - Divide geographic space into discrete chunks.



## Tables

* [formattable](https://github.com/renkun-ken/formattable) - Formattable Data Structures.

* [kableExtra](https://github.com/haozhu233/kableExtra) - Construct Complex Table with knitr::kable() + pipe.

* [gt](https://github.com/rstudio/gt) - Easily generate information-rich, publication-quality tables from R.

* [DT](https://github.com/rstudio/DT) - R Interface to the jQuery Plug-in DataTables.

* [mmtable2](https://github.com/ianmoran11/mmtable2) - Allows you to create and combine tables with a ggplot2/patchwork syntax.



## Publishing 

* [blogdown](https://github.com/rstudio/blogdown) - Create Blogs and Websites with R Markdown.

* [bookdown](https://github.com/rstudio/bookdown) - Authoring Books and Technical Documents with R Markdown.

* [posterdown](https://github.com/brentthorne/posterdown) - Use RMarkdown to generate PDF Conference Posters via HTML.



## Drawing & Rendering

* [magick](https://github.com/ropensci/magick) - Advanced Image-Processing in R. [[Tutorial]](https://cran.r-project.org/web/packages/magick/vignettes/intro.html)

* [bunny](https://github.com/dmi3kno/bunny) - Useful helper functions for working with magick.

* [threed](https://github.com/coolbutuseless/threed) - Three-Dimensional Object Transformations.

* [svgpatternusgs](https://github.com/coolbutuseless/svgpatternusgs) - SVG patterns from the U.S. Geological Survey for use within R.

* [ggtextures](https://github.com/clauswilke/ggtextures) - Drawing textured rectangles and bars with ggplot.

* [isocubes](https://github.com/coolbutuseless/isocubes) - An isometric rendering canvas with cubes as the only graphics primitive.

* [rayshader](https://github.com/tylermorganwall/rayshader) - R Package for 2D and 3D mapping and data visualization.

* [rayrender](https://github.com/tylermorganwall/rayrender) - A raytracer for R. Based on Peter Shirley's "Ray Tracing in One Weekend" book series. 

* [rayfocus](https://github.com/tylermorganwall/rayfocus) - Add depth of field to images.

* [rayshaderanimate](https://github.com/zappingseb/rayshaderanimate) - Animate GPX data on a 3D map.

* [raytrix](https://github.com/h-a-graham/raytrix) - Provides a spatial framework and convenience functions for acessing and translating spatial data.

* [rayvista](https://github.com/h-a-graham/rayvista) - An R plugin for {rayshader} to view a 3D vista anywhere on earth.



## Others

* [lattice](https://github.com/deepayan/lattice) - High-level data visualization system inspired by Trellis graphics,.

* [latticeExtra](http://latticeextra.r-forge.r-project.org/) - Extensions for lattice package.



## Learning



### Tutorials

* [Be Awesome in ggplot2: A Practical Guide to be Highly Effective - R software and data visualization.](http://www.sthda.com/english/wiki/be-awesome-in-ggplot2-a-practical-guide-to-be-highly-effective-r-software-and-data-visualization) 

* [A ggplot2 Tutorial for Beautiful Plotting in R](https://cedricscherer.netlify.com/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/)

* [A pole vaulting example](http://eriqande.github.io/rep-res-web/lectures/ggplot_1_pole_vault_example.html)

* [The Evolution of a ggplot](https://cedricscherer.netlify.com/2019/05/17/the-evolution-of-a-ggplot-ep.-1/)

* [Introduction to Network Analysis with R. Creating static and interactive network graphs](https://www.jessesadler.com/post/network-analysis-with-r/)



### Books

* [Data Visualization with R](https://rkabacoff.github.io/datavis/) by Rob Kabacoff.

* [Data Visualization. A practical introduction](https://socviz.co/) by Kieran Healy.

* [Circular Visualization in R](https://jokergoo.github.io/circlize_book/book/index.html) by Zuguang Gu.

* [Fundamentals of Data Visualization](https://serialmentor.com/dataviz/index.html) by Claus O. Wilke.

* [Geocomputation with R: Chapter 8 Making maps with R](https://geocompr.robinlovelace.net/adv-map.html) by Robin Lovelace, Jakub Nowosad and Jannes Muenchow.

* [Essentials of color in R from. Chapter from Data Science for Psychologists](https://bookdown.org/hneth/ds4psy/D-2-apx-colors-essentials.html) by Hansjörg Neth



### How to...?



#### Plots

* Create infographics in R

   * [Create infographics with R](https://www.listendata.com/2019/06/create-infographics-with-r.html)

   * [How to Layout and Design an Infographic](https://alstatr.blogspot.com/2015/02/r-how-to-layout-and-design-infographic.html)

   * [How to Create Infographics in R](http://nandeshwar.info/data-visualization/how-to-create-infographics-in-r/)

* [Plot wind directions with arrows](https://stackoverflow.com/questions/47880918/how-to-plot-wind-direction-with-lat-lon-and-arrow-in-ggplot2)

* [Plot Bump Chart](https://luisdva.github.io/rstats/dog-bump-chart/)

* Fill area with an image

    * [Use an image as area fill in an R plot (StackOverflow)](https://stackoverflow.com/questions/45777519/use-an-image-as-area-fill-in-an-r-plot)

    * [Overlay de imagenes sobre areas en ggplot (in Spanish)](https://pmoracho.github.io/blog/2017/09/01/Overlay-imagen-sobre-ggplot/)

* [Add custom fonts to ggplot](http://gradientdescending.com/adding-custom-fonts-to-ggplot-in-r/)

* [Add images to the plot](https://buzzrbeeline.blog/2018/06/13/fun-and-easy-r-graphs-with-images/)

* [Plot Bubble Packed Chart](https://chichacha.netlify.com/2018/12/22/bubble-packed-chart-with-r-using-packcircles-package/) 

* [Create waterfall chart with ggplot2](https://anhhoangduc.com/blog/create-waterfall-chart-with-ggplot2/)

* [Make xkcd style graphs](https://stackoverflow.com/questions/12675147/how-can-we-make-xkcd-style-graphs)

* [Visualize Self-Organizing Map](http://blog.schochastics.net/post/soms-and-ggplot/)

* [Use emojis as scatterplot points](https://statisticaloddsandends.wordpress.com/2018/12/28/using-emojis-as-scatterplot-points/)

* [Make calendar with ggplot](https://chichacha.netlify.com/2018/05/26/making-calendar-with-ggplot-moon-phase-calendar/)

* [Drawing a basketball court with R](https://egallic.fr/en/drawing-a-basketball-court-with-r/)

* [Draw a Gantt chart](https://stackoverflow.com/questions/3550341/gantt-charts-with-r)



#### Maps

* [Connections on the map](https://flowingdata.com/2011/05/11/how-to-map-connections-with-great-circles/) [[remarks]](https://paulbutler.org/2010/visualizing-facebook-friends/)

* [3D Lego Map and visualize Columbus Voyage - Rayshade rWalkthrough [GIF]](https://arthurwelle.github.io/RayshaderWalkthrough/index.html)

* [Subplots in maps with ggplot2](https://ikashnitsky.github.io/2017/subplots-in-maps/)

* [Bivariate maps with ggplot2 and sf](https://timogrossenbacher.ch/2019/04/bivariate-maps-with-ggplot2-and-sf/)



#### Drawing

* Create hex sticker

  * [Making hex and twittercard with bunny and magick](https://www.ddrive.no/post/making-hex-and-twittercard-with-bunny-and-magick/)

  * [gganimate your hex](https://www.ddrive.no/post/gganimate-your-hex/)

* [Draw Animated TIE Fighter](https://www.wjakethompson.com/post/2018-05-04-animated-tie-fighter/)

* [Making an animated contour plot](https://www.wjakethompson.com/post/2018-09-05-animated-contour-plot/)

* [Draw a clock](https://www.wjakethompson.com/post/2018-11-27-ggclock/)

* [Radial patterns in ggplot2](https://ijeamakaanyene.github.io/patterns/zine/zine_radial_patterns.html#1) by Ijeamakaanyene 



### Animations

* [Download and Animate Polar Ice Data in R with Rayrender](https://www.tylermw.com/polar-ice-data-in-r-with-rayrender/)



## Inspirations



### Recreating Visualizations

* [Minard's famous plot of Napoleon's 1812 retreat from Russia](https://github.com/andrewheiss/fancy-minard) 

* [ggplot2 meets W. E. B. Du Bois - Visualizing 1900s Black American life in R.](https://www.statswithmatt.com/post/ggplot2-meets-w-e-b-du-bois/) 

* [W. E. Du Bois remakes](https://rpubs.com/ejhollowood/du-bois) by Ella Hollowood.

* [dataRbeautiful -  Recreating data visualizations from "Knowledge is Beautiful"](https://github.com/moldach/dataRbeautiful) by David McCandless.

* [Flowingdata Animated Population Chart](https://www.stevejburr.com/post/replicating-flowingdata-population-charts-in-r/) 

* [Recreate The Economist: Global Terrorism Index Plot](http://rpubs.com/tangerine/economist-plot)

* [Recreating the vaccination heatmaps in R](https://benjaminlmoore.wordpress.com/2015/04/09/recreating-the-vaccination-heatmaps-in-r/)

* [You can replicate almost any plot with R](https://simplystatistics.org/2019/08/28/you-can-replicate-almost-any-plot-with-ggplot2/)

* [Recreating the Datasaurus Dozen Using tweenr and ggplot2](https://www.wjakethompson.com/post/2017-05-05-datasaurus-dozen/)

* [RedGreenGreyDots patient flow dotplot](https://johnmackintosh.com/2017-12-21-flow/)

* [Plot recreations by mohdbilal87](https://mohdbilal87.github.io/dataviz-r/)



### Tidytuesday

* [by Karamanis](https://github.com/gkaramanis/tidytuesday)

* [by Z3tt](https://github.com/Z3tt/TidyTuesday)

* [by abichat](https://github.com/abichat/tidytuesday)

* [by Ijeamakaanyene](https://github.com/Ijeamakaanyene/tidytuesday)



### 30 Days Map Challenge

* [by Z3tt](https://github.com/Z3tt/30DayMapChallenge)

* [by ThomasG77](https://github.com/ThomasG77/30DayMapChallenge)

* [by Matt Malishev](https://github.com/darwinanddavis/worldmaps/tree/gh-pages)



### Art

* [Fronkonstin](https://fronkonstin.com/)

* [flametree](https://github.com/djnavarro/flametree)



### R Plot Gallery

* [The R Graph Gallery - Help and inspiration for R charts.](https://www.r-graph-gallery.com/) 

* [Top 50 ggplot2 Visualizations - The Master List (With Full R Code)](http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html)

* [Data Movies and ggplot2](http://smarterpoland.pl/index.php/2018/12/data-movies-and-ggplot2/)

* [Leaders’ Ages](https://david.frigge.nz/posts/2018-11-leader-age/)

* [Regional population structures at a glance](https://github.com/ikashnitsky/the-lancet-2018)

* [Population age structures of Europe NUTS-3 regions and the US counties](https://github.com/ikashnitsky/compare-pop-eu-us)



### Other

* [Data Sketch](http://www.datasketch.es/may/) - Many inspiring data visualizations.

* [Recapping radials](http://www.storytellingwithdata.com/blog/2019/7/15/recapping-radials)

* [Beautiful Visualizations from Reddit’s DataViz Battle Competition](https://medium.com/design-and-tech-co/beautiful-visualizations-from-reddits-dataviz-battle-competition-1d058e84285c)

* [Timelines and Visual Histories](http://www.datavis.ca/gallery/timelines.php) - Historical visualizations.

* [FlowingData](https://flowingdata.com/) - Data Visualizaion ideas and tutorials, i.a. using R.

* [MakeoverMonday](https://www.makeovermonday.co.uk/gallery/) - Data Visualization weekly learning (mostly using Tableau).