Slides

Weekly slides

Slides open directly in your browser — use the ← and → keys to move between them.

• Week 1 Sep 14, 2026

  Course overview & R refresher

  Lab policy and grading · data types · vectors, matrices and data frames · indexing · create / read / update / delete · first steps with dplyr

• Week 2 Sep 21, 2026

  Pipes and merging data

  The pipe operator revisited · vertical merges with rbind() and bind_rows() · horizontal merges with full_join(), left_join(), right_join(), inner_join(), semi_join() and anti_join()

• Week 3 Sep 28, 2026 No class

  教師節快樂 · Happy Teachers’ Day

  No lab this week — Taiwan marks Confucius’s birthday, so the computer room takes the day off too. Rest up, and we will pick things back up with ggplot2 on October 5.

• Week 4 Oct 5, 2026

  Data visualisation with ggplot2

  The grammar of graphics · the Gapminder data · collapsing data with summarize() and across() · aesthetics — shape, size, colour, linetype and alpha · titles and axis labels with labs() · themes · trend lines with geom_smooth() · reference lines · global versus local mapping

• Coming up Updated weekly

  Later sessions cover more data wrangling with dplyr and tidyr, and regression in practice — OLS and fixed effects, difference-in-differences, and instrumental variables. Links appear here as each session is posted.