Resources

Books, documentation, galleries and data sources to keep going

Selected books, documentation, chart galleries and databases to extend the course.

These resources do not replace the sessions: use them to go deeper, get help or find data.

Learning R

• R for Data Science, 2nd ed. (Wickham, Çetinkaya-Rundel, Grolemund): the tidyverse reference, https://r4ds.hadley.nz/.
• utilitR (INSEE, in French): comprehensive collaborative documentation on R, https://book.utilitr.org/.
• Guide-R (Joseph Larmarange, in French): data analysis for the social sciences, https://larmarange.github.io/guide-R/.

Visualisation

• ggplot2: Elegant Graphics for Data Analysis (Wickham et al.): the official ggplot2 book, https://ggplot2-book.org/.
• Fundamentals of Data Visualization (Claus Wilke): principles of good charts, https://clauswilke.com/dataviz/.
• The R Graph Gallery: hundreds of examples with code, https://r-graph-gallery.com/.
• ColorBrewer (https://colorbrewer2.org/) and viridis (https://sjmgarnier.github.io/viridis/): readable, colour-blind-safe palettes.

Quarto

• Official documentation: https://quarto.org/docs/guide/.
• Revealjs presentations: https://quarto.org/docs/presentations/revealjs/.

Development data

• World Development Indicators (World Bank), via the WDI package (databank: World Development Indicators).
• World Inequality Database (WID): income and wealth inequality, https://wid.world/.
• Our World in Data: open data and charts, https://ourworldindata.org/.

Getting help

• Stack Overflow: search the error message in quotes, https://stackoverflow.com/questions/tagged/r.
• Posit Community: forum for the R/RStudio community, https://forum.posit.co/.