Solving R for data science
summary
Complete exercise solutions to R for Data Science live on GitHub, built with bookdown and deployed automatically via Travis -> GitHub Pages. Continuous checks include spelling (hunspell), styling (styler), HTML/widget fixes and a link checker that validates about 16,000 links. User feedback channels use Hypothesis annotations and GitHub issues; analytics via Google Analytics reveals unexpectedly high traffic to iteration and early modeling chapters. Many typos get fixed, others lead to small tooling to turn highlights into prefilled issues.
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chapters (7)
- 0:00Introduction
- 1:07Creating R for Data Science
- 3:58Writing and publishing solutions
- 5:24Lessons from feedback
- 9:55User behavior analysis
- 12:25Future goals and contributions
- 12:51Q&A
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