19 Other
This is a dumping ground for matters I’m yet to look in to properly, never mind write notes about.
19.1 renv
Introduction to renv vignette
19.2 Docker
Using docker containers means you don’t have to deal with “works on my machine” problems.
Currently, the set-up and reproducibility issues I’ve had with arcpy and Jupyter notebooks means I can’t recommend others in the Council go down this path and therefore collaborate with these tools. Could Docker be a means to address these issues, or at the very least, allow officers to trial arcpy and Jupyter notebooks before investing in a complicated setup? For more typical R projects renv might be preferable.
Docker for Data Science — A Step by Step Guide, Dean Pleban (18 October 2020)
The Pros and Cons of Docker, Nick from Iron.io (28 August 2020)
rocker R package
19.6 Data Visualisation
Data Visualization, A practical introduction by Kieran Healy
- grammer of graphics, R4DS, Graphics cookbook, stackexchange