@rstudio The session pages contain not only the slides but
🔵 hands-on #rstats codes
🔵 recap notes
🔵 exercises incl.
🔵 prepared scripts, either as #quarto or #rmarkdown
🔵 step-by-step solutions
📊🧵 Collection of tweets featuring open-access materials that I have shared over the last years:
Talks, seminars, blog posts, hands-on notebooks, codes, and more! #rstats#ggplot2#tidyverse#dataviz 🧙♂️
The tutorial now contains 188 plots and is generated with ~3000 lines of code.
Added topics (1/5):
- several alternative ways to solve things
- short explanation of geoms and theme in the intro
- more on theme elements
- in general a bit more text + explanations
- highlighting difference `scale_x|y_continuous()` vs `coord_cartesian(x|ylim)`