https://github.com/z3tt/outlierconf2021

⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.
https://github.com/z3tt/outlierconf2021

datavisualization dataviz design ggplot2 ggplot2-workshop presentation r

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⭕ Slides and hands-on codes for my talk "ggplot Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R" at the 1st OutlierConf, February 4–7 2021.

• Host: GitHub
• URL: https://github.com/z3tt/outlierconf2021
• Owner: z3tt
• Created: 2021-02-06T15:54:49.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-09-26T15:19:15.000Z (about 1 year ago)
• Last Synced: 2024-12-15T14:07:49.513Z (7 days ago)
• Topics: datavisualization, dataviz, design, ggplot2, ggplot2-workshop, presentation, r
• Language: HTML
• Homepage:
• Size: 194 MB
• Stars: 415
• Watchers: 15
• Forks: 72
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        


   ggplot Wizardry:
My Favorite Tricks and Secrets for Beautiful Plots in R 





   

   

   

    

   

   

   





  


  

  








Slides and hands-on codes for my talk at the [1st OutlierConf](https://www.outlierconf.com/), February 4–7 2021.

![Title slide for my talk](https://raw.githubusercontent.com/Z3tt/OutlierConf2021/main/img/2021_outlier.png)

### Talk Resources:

* [Slides](https://www.cedricscherer.com/slides/OutlierConf2021_ggplot-wizardry.pdf)

* [Recording](https://www.youtube.com/watch?v=7UjA_5gNvdw&list=PLAm5TIX-yz7IkKOUcStM_vl8AD0S9v0co&index=33)

* [Hands-On Tutorial](https://z3tt.github.io/OutlierConf2021/)

* [Codes](https://github.com/Z3tt/OutlierConf2021/blob/main/R/OutlierConf2021_ggplotWizardry_HandsOn.Rmd)

**Bonus: Extended version!**

* [Slides from the useR! Oslo meeting on March 24, 2021](https://www.cedricscherer.com/slides/useR-2021_ggplot-wizardry-extended.pdf)

  


### About the talk:

> In this talk, I present my favorite tips and tricks with regard to the ggplot2 package, a library for plotting in the programming language R. I will cover functions that are helpful but many may not be aware of as well as a collection of interesting functions from a large range of extension packages.  

The talk is intended for people who already know how to code in R and ggplot2. However, I am going to cover a diverse collection of tips so I hope everyone can pick something helpful independent from their level of expertise.

![Preview collage of all slides](https://raw.githubusercontent.com/Z3tt/OutlierConf2021/main/img/2021_outlier_collage.png)

### Further Resources:

* [Intro to R](https://moderndive.com/) (one of many good online tutorials)

* ["R for Data Science" book (open-access)](r4ds.had.co.nz/)

* [ggplot2 Book (open-access)](https://ggplot2-book.org/)

* [R Graph Gallery](https://www.r-graph-gallery.com/)

* [My extensive ggplot2 tutorial](https://www.cedricscherer.com/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/)

* [My “Evolution of a ggplot” blog post](https://www.cedricscherer.com/2019/05/17/the-evolution-of-a-ggplot-ep.-1/ )

* [#TidyTuesday project](https://github.com/rfordatascience/tidytuesday) ([#TidyTuesday](https://twitter.com/hashtag/tidytuesday?lang=en) on Twitter)

* [My #TidyTuesday Contributions](https://github.com/Z3tt/TidyTuesday) incl. all codes

* [R4DS learning community](https://www.rfordatasci.com/) (huge Slack community for people learning R incl. a mentoring program)

* [Illustrations by Allison Horst](https://github.com/allisonhorst/stats-illustrations ) (more general about data and stats + R-related)

* R Packages mentioned:

  + [ggplot2](https://ggplot2.tidyverse.org/)

  + [ggtext](https://wilkelab.org/ggtext/)

  + [ggforce](https://ggforce.data-imaginist.com/) 

  + [ggdist](https://mjskay.github.io/ggdist/)

  + [ggraph](https://ggraph.data-imaginist.com/)

  + [ggstream](https://github.com/davidsjoberg/ggstream) 

  + [ggbump](https://github.com/davidsjoberg/ggbump)

  + [gggibous](https://cran.r-project.org/web/packages/gggibbous/vignettes/gggibbous.html) 

  + [waffle](https://github.com/hrbrmstr/waffle)

  + [geofacet](https://cran.r-project.org/web/packages/geofacet/vignettes/geofacet.html)

  + [cartogram](https://github.com/sjewo/cartogram)

  + [patchwork](https://patchwork.data-imaginist.com/) 

  + [sf](https://r-spatial.github.io/sf/)

 

***

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