23  What’s next?

Not finished learning? Feel free to check our website, uu.nl/rdm for our other workshops and trainings.

23.0.1 More R resources

• R 4 Data Science: https://r4ds.hadley.nz/
• Data Science in a Box: https://datasciencebox.org/content
• Learning statistics with R: https://learningstatisticswithr.com/book/
• Statistical Inference via Data Science: A ModernDive into R and the Tidyverse: https://moderndive.com/
• Big Book of R: https://www.bigbookofr.com/
• Better spreadsheets: https://better-spreadsheets.netlify.app/

23.0.2 Data visualization

• Choose a visualization > Get example code: https://www.data-to-viz.com/
• ggplot2 book: https://ggplot2-book.org/
• ggplot flipbook: https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html
• Better plots: https://better-plots.netlify.app/

23.0.3 Get practice

• Starting a data analysis project - Extra practice exercises: https://tavareshugo.github.io/r-intro-tidyverse-gapminder/90-appendix-exercises/index.html
• Exercises data wrangling with the tidyverse: https://data-se.netlify.app/2021/02/24/exercises-to-data-wrangling-with-the-tidyverse/
• Use real public data: https://github.com/awesomedata/awesome-public-datasets