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In part 1, we introduce the magical tidyverse, a collection of R packages for data wrangling and visualisation. Tidyverse commands are all structured similarly, and their names are descriptive to make them easier to remember and use. We also explain the concept of tidy data and why it’s so useful. - - This 14-part introduction to R for linguists and other enthusiasts was recorded as part of a workshop on “Data wrangling & reproducible reports with tidyverse and R-Markdown” taught on February 23 2021 at the doctoral colloquium, DGfS 2021, in Freiburg, Germany. Materials available here: https://github.com/rstats-aficionadas... Please open the file “Welcome to the tidyverse.Rmd” in RStudio to follow along! Exercises can be found in “Exercises.Rmd”, the answers in “Exercises_KEY.Rmd”. Need more R content in your life? We regularly teach workshops for R-Ladies Freiburg: https://www.meetup.com/de-DE/rladies-... Find recordings of our previous and other excellent workshops on the R-Ladies Global Youtube channel: / @rladiesglobal Any questions or comments? Or just want to stay in touch? Follow us for updates, up-to-date code and lame Rstats memes: @McconnellKyla https://github.com/kyla-mcconnell @JuliaMuellerFr https://github.com/JuliaMuellerFr Adorable monster illustrations by Allison Horst: https://github.com/allisonhorst/stats...