Oikos Workshop: Data visualization in R using ggplot2

Hello! Welcome to the gRaphics workshop; this presentation was originally hosted in the context of the Oikos 2021 Conference over Zoom (hence my cropped face during the live-code session. . . oops). Here you can follow along the first part of a two-part workshop (Part II by Sara Hocevar, who covers creating icons and graphical abstracts, Part 1: https://youtu.be/SjccbeMBhMQ, Part2: https://youtu.be/vjrLVfISDxo, Part3: https://youtu.be/DPi4xiEDVX0). If watching almost two-hours of live coding isn't your thing, feel free to skip ahead to the part that would be most useful to you. This long lecture can be summed into 4 parts: 0:00 Introductory lecture ---Shift to live-coding in R--- 23:04 Part I: The anatomy of ggplot2 (color/fill, boxplots, stat summaries) 1:06:50 Part II: Advanced customization (regression lines, faceting, themes) 1:31:34 Part IV: MasteR visualization (image import, sig. stars, beyond basics) All of the code can be accessed here: https://github.com/chloefouilloux/Oikos_Workshop Free and very helpful resources can be found here: https://ggplot2-book.org/ https://clauswilke.com/dataviz/ https://rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf https://github.com/Z3tt https://socviz.co/index.html#preface https://www.r-graph-gallery.com/index.html https://www.cedricscherer.com/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/#text