Learning and using the tidyverse for historical research
summary
R and the tidyverse power a workflow that turns 6,000 transcribed letters and 300‑page account books into maps and financial visualizations. A package called debkeepr implements an LSD class (three‑element vectors with a basis attribute) and functions like deb_lsd_gather to import, normalize, add and divide non‑decimal pounds/shillings/pence; it reproduces arithmetic, aggregates amounts (e.g. £41,112 10s 5d), produces ggplot and sf maps, has a pkgdown site with three vignettes, and is usable on real archival data.
AI-written summary · about
chapters (6)
- 0:00Start
- 2:40Power of coding
- 3:46Just pick a project
- 10:21debkeepr: Analysis of non-decimal currencies
- 11:30Partible Inheritance
- 12:49Arithmetic by hand
related talks
29mGrammars of Data: lessons from ~20 years of the tidyverse
51mProgramming in the Tidyverse
19mA Journey Into Data Science: From an Idea to a Viable Product
46mElegant R: Tips from a Software Developer
22mModelling, Tidyverse Way
21mEmpowering Reproducible Finance through Tidy Finance with R and Python
05mWhy tidy data matters
18mtidymodels: Adventures in Rewriting a Modeling Pipeline
