genomicsnx/ggplot-courses

👨‍🏫 ggplot2 Teaching Material

👨‍🏫 ggplot2 Teaching Material

Collection of personal material and additional resources for the R package {ggplot2}.

Presentations

• “ggplot Wizardry: My favorite tricks and secrets for beautiful plots in R” — Outlier Conference 2021 hosted by the Data Visualization Society (Talk + Seminar)
  Slides | Recording | Hands-On Tutorial
• “ggplot Wizardry: My favorite tricks and secrets for beautiful plots in R (Extended Version)” — useR Oslo 03|2021
  Slides | Recording
• “Beyond bar and box plots: chart alternatives and how to design them with ggplot2” — USGS Community for Data Integration 09|2021
  Slides | Recording | Hands-On Tutorial
• “My favorite ggplot2 extension packages” — R Ladies Tunis 07|2021
  Slides | Recording
• “An Introduction to {ggplot2}” — Stats Group of the Leibniz Institute for Zoo and Wildlife Research 08|2019
  Slides

Blog Posts

• “A {ggplot2} Tutorial for Beautiful Plotting in R” — Extensive "How to"-tutorial based on a version from 2016 by Zev Ross
• “The Evolution of a ggplot (Part 1)” — Blog post on how to turn a default ggplot into a plot that visualizes information in an appealing and easily understandable way
• “Visualizing Distributions with Raincloud Plots (and How to Create Them with ggplot2)” — Tutorial illustrating why raincloud plots are great and numerous ways how to create such hybrid charts with {ggplot2}
• “A Quick How-to on Labelling Bar Graphs in ggplot2” — Blog poston how one can add percentage labels inside bar plots and how to highlight specific bars with {ggplot2}

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Helpful Resources

• Open-Access Books:

  • “ggplot2: Elegant Graphics for Data Analysis” by Hadley Wickham → ggplot2-book.org
  • “R for Data Science” by Hadley Wickham → r4ds.had.co.nz
  • “Data Visualization: A Practical Introduction” by Kieran Healy → socviz.co
  • “R Graphics Cookbook” by Winston Chang → r-graphics.org
  • “Analyzing US Census Data: Methods, Maps, and Models in R” by Kyle Walker → walker-data.com/census-r

• Galleries:

  • ggplot2 Extension Gallery → exts.ggplot2.tidyverse.org/gallery
  • R Graph Gallery → r-graph-gallery.com
  • Color Palettes in R → github.com/EmilHvitfeldt/r-color-palettes
  • #TidyTuesday Collection → tidytuesday.rocks

• Workshops/Tutorials:

  • “SDS 375: Data Visualization in R” by Claus Wilke — Lectures for the Spring 2021 semster → wilkelab.org/SDS375
  • “Data Visualization in R” by Brooke Anderson — Workshop for the 2019 Navy and Marine Corps Public Health Conference → geanders.github.io/navy_public_health
  • “BBC Visual and Data Journalism cookbook for R graphics” → bbc.github.io/rcookbook
  • “Data Visualization with R” by Rob Kabacoff → rkabacoff.github.io/datavis
  • “Themes to Improve Your ggplot Figures” → rfortherestofus.com

• Get Help:

  • RStudio Community → community.rstudio.com
  • R4DS Learning Community → rfordatasci.com
  • #TidyTuesday Community → #TidyTuesday on Twitter
  • ggplot2 Cheatsheet → github.com/rstudio/cheatsheets
  • ggplot2 reference → ggplot2.tidyverse.org/reference
  • aesthetics finder → ggplot2tor.com/aesthetics

• Useful Packages (alphabetically):

  • {cowplot} — plot arrangements, themes & annotations → wilkelab.org/cowplot
  • {ggalt} — alternative coords, geoms, stats & scales → github.com/hrbrmstr/ggalt
  • {gganimate} — create animations → gganimate.com
  • {ggbump} — geoms for bump charts → github.com/davidsjoberg/ggbump
  • {ggforce} — several interesting add-on features → ggforce.data-imaginist.com
  • {ggmaps} — access to Google & Stamen maps → github.com/dkahle/ggmap
  • {ggplotly} — create interactive plots → plot.ly/ggplot2
  • {ggraph} — networks, graphs & trees → github.com/thomasp85/ggraph
  • {ggrepel} — prevent overlapping text labels → github.com/slowkow/ggrepel
  • {ggridges} — geoms for ridgeline plots → github.com/clauswilke/ggridges
  • {ggsankey} — geoms for sankey diagrams → github.com/davidsjoberg/ggsankey
  • {ggstream} — geoms for stream graphs → github.com/davidsjoberg/ggstream
  • {ggtext} — rich-text rendering → github.com/clauswilke/ggtext
  • {ggthemes} — additional themes, sclaes & geoms → github.com/jrnold/ggthemes
  • {hrbrthemes} — typography-centric themes → github.com/hrbrmstr/hrbrthemes
  • {lemon} — axis & legend add-ons → github.com/stefanedwards/lemon
  • {patchwork} — combine ggplots → github.com/thomasp85/patchwork
  • {rayshader} — hillshaded maps in 2D & 3D → github.com/tylermorganwall/rayshader
  • {systemfonts} — use custom fonts → github.com/r-lib/systemfonts

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