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README.md

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* {[ggalluvial](http://corybrunson.github.io/ggalluvial/)}: ggplot2 extension for alluvial plots
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* {[ggalt](https://github.com/hrbrmstr/ggalt)}: Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'
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* {[ggeconodist](https://github.com/hrbrmstr/ggeconodist)}: Create Diminutive Distribution Charts
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* {[ggdag](https://ggdag.malco.io/)}: An R Package for visualizing and analyzing causal directed acyclic graphs
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* {[ggExtra](https://github.com/daattali/ggExtra)}: Add marginal histograms to ggplot2, and more ggplot2 enhancements
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* {[gghalves](https://erocoar.github.io/gghalves/)}: Easy half-half geoms in ggplot2
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* {[bbplot](https://github.com/bbc/bbplot)}: R package that helps create and export ggplot2 charts in the style used by the BBC News data team
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* {[ggdark](https://github.com/nsgrantham/ggdark)}: Dark mode for ggplot2 themes
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* {[ggeasy](https://github.com/jonocarroll/ggeasy)}: Easy Access to 'ggplot2' Commands
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* {[ggfittext](https://github.com/wilkox/ggfittext)}: ggplot2 geoms to fit text into boxes
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* {[gglaplot](https://github.com/Greater-London-Authority/gglaplot)}: Makes graphics in the GLA style using ggplot2
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* {[ggnewscale](https://github.com/eliocamp/ggnewscale)}: Multiple Fill and Color Scales in 'ggplot2'
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* {[ggpomological](https://www.garrickadenbuie.com/project/ggpomological/)}: Pomological plot theme for ggplot2
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* {[ggsci](https://nanx.me/ggsci/)}: Scientific journal and sci-fi themed color palettes for ggplot2
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* {[ggtech](https://github.com/ricardo-bion/ggtech)}: ggplot2 tech themes, scales, and geoms
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* {[ggtext](https://github.com/wilkelab/ggtext)}: Improved text rendering support for ggplot2
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* {[ggtextures](https://github.com/clauswilke/ggtextures)}: Drawing textured rectangles and bars with ggplot
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* {[ggthemes](https://jrnold.github.io/ggthemes/)}: Additional themes, scales, and geoms for ggplot2
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* {[ggthemr](https://github.com/cttobin/ggthemr)}: Themes for ggplot2
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* {[hrbrthemes](https://github.com/hrbrmstr/hrbrthemes)}: Opinionated, typographic-centric ggplot2 themes and theme components
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* {[paletteer](https://emilhvitfeldt.github.io/paletteer/)}: Collection of most color palettes in a single R package
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* {[tvthemes](https://ryo-n7.github.io/tvthemes/)}: ggplot2 themes and palettes based on your favorite TV shows
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* {[urbnthemes](https://urbaninstitute.github.io/urbnthemes/index.html)}: Urban Institute's ggplot2 theme and tools
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## Presentation, composition and scales
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## Spatial
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* {[ggcounty](https://github.com/hrbrmstr/ggcounty)}: Generate ggplot2 geom_map county maps
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* {[ggmap](https://github.com/dkahle/ggmap)}: A package for plotting maps in R with ggplot2
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* {[ggspatial](https://paleolimbot.github.io/ggspatial/)}: Enhancing spatial visualization in ggplot2
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* {[urbnmapr](https://urbaninstitute.github.io/urbnmapr/index.html)}: US state and county maps with Alaska and Hawaii
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## Icons and images
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* {[emoGG](https://github.com/dill/emoGG)}: Emoji in ggplot2
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* {[ggflags](https://github.com/rensa/ggflags)}: A flag geom for ggplot2
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* {[ggimage](https://github.com/GuangchuangYu/ggimage)}: Use Images in ggplot2
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## Data and models
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* {[GGally](https://ggobi.github.io/ggally/index.html)}: R package that extends ggplot2
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* {[ggeffects](https://strengejacke.github.io/ggeffects/)}: Tidy Data Frames of Marginal Effects for ggplot2
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* {[ggfortify](https://github.com/sinhrks/ggfortify)}: Define fortify and autoplot functions to allow ggplot2 to handle some popular R packages
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* {[ggRandomForest](https://github.com/ehrlinger/ggRandomForests)}: Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages
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* {[tidybayes](http://mjskay.github.io/tidybayes/)}: Bayesian analysis + tidy data + geoms
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# Books
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* [Creating corporate colour palettes for ggplot2](https://drsimonj.svbtle.com/creating-corporate-colour-palettes-for-ggplot2)
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* [Label line ends in time series with ggplot2](https://drsimonj.svbtle.com/label-line-ends-in-time-series-with-ggplot2)
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* [Data Viz with Python and R: ggplot2](https://datavizpyr.com/category/r/ggplot2/)
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* [The Evolution of a ggplot (Ep. 1)](https://cedricscherer.netlify.com/2019/05/17/the-evolution-of-a-ggplot-ep.-1/)
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* Geometrics
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* [Exploring ggplot2 boxplots - Defining limits and adjusting style](https://waterdata.usgs.gov/blog/boxplots/)

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