Acknowledgement of technical tools used

We are grateful to the open-source community for developing and maintaining the tools used in this report. This report was built using Quarto (Posit Software, PBC 2026). Data analysis and visualisation were performed in R using the tidyverse ecosystem (Wickham et al. 2019), with ggplot2 (Wickham 2016) for static visualisations and ggiraph (Gohel 2023) for interactive graphics. Interactive tables were created using the dt package (Xie et al. 2023). SCB data was retrieved via the pxweb package (Nettersjö and Öst 2023). The source code for this Quarto book is available on GitHub.

Gohel, David. 2023. Ggiraph: Interactive Graphics for ggplot2. https://cran.r-project.org/package=ggiraph.

Nettersjö, Oscar, and Markus Öst. 2023. Pxweb: Retrieve Data from the PX-WEB API. https://github.com/rOpenGov/pxweb.

Posit Software, PBC. 2026. Quarto. https://quarto.org/.

Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.

Wickham, Hadley, Mara Averick, Jennifer Bryan, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Xie, Yihui, Joe Cheng, and Xianying Tan. 2023. DT: A Wrapper of the JavaScript Library ’DataTables’. https://rstudio.github.io/DT/.