The analysis was conducted in R (R Core Team 2024) in a fully reproducible manner. Data was transformed with R packages from the tidyverse (Wickham et al. 2019). The visualizations were mostly generated with ggplot2 (Wickham 2016) and plotly (Sievert 2020) using the viridis color palette (Garnier et al. 2023), the tables using gt (Iannone et al. 2024).
The report’s full source code repository is available on GitLab, an exhaustive list of the exact R package versions used to generate this report is found as structured data in the file input/report/renv/renv.lock inside the repository.
Garnier, Simon, Noam Ross, Robert Rudis, Antônio P. Camargo, Marco Sicaini, and Cédric Scherer. 2023.
Viridis(lite) - Colorblind-Friendly Color Maps for R.
https://sjmgarnier.github.io/viridis/.
Iannone, Richard, Joe Cheng, Barret Schloerke, Ellis Hughes, Alexandra Lauer, JooYoung Seo, Ken Brevoort, and Olivier Roy. 2024.
Gt: Easily Create Presentation-Ready Display Tables.
https://gt.rstudio.com.
R Core Team. 2024.
“R: A Language and Environment for Statistical Computing.” Edited by R Foundation for Statistical Computing, Vienna, Austria.
https://www.r-project.org/.
Sievert, Carson. 2020.
Interactive Web-Based Data Visualization with R, Plotly, and Shiny. Chapman and Hall/CRC.
https://plotly-r.com.
Wickham, Hadley. 2016. Ggplot2. Elegant Graphics for Data Analysis. Second edition. Use R! Switzerland: Springer.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino, Romain François McGowan, Garrett Grolemund, et al. 2019. “Welcome to the Tidyverse.” Journal of Open Source Software 4 (43): 1686.