Roadmap

[briatte]

Version 3 / May 2024

1. Software

• R Markdown

Example: LGBTI inclusivity (OECD) -- replace?

2. Revisions

• Packages, the tidyverse
• More R Markdown
• Data pivots

Example: U.S. life expectancy (OECD, code by Kieran Healy)

3. (More) Data wrangling

• Row-wise ops and complex joins with dplyr
• SQL with dbplyr
• Regex with stringr

Example: government cabinets (ParlGov)

4. Web scraping

• HTTP with httr
• XPath with rvest and xml2
• APIs (not really covered this year)

Example: nuclear reactors (IAEA)

5. Regression models (1) Linear regression and diagnostics

Example: worldwide fertility (QOG/WB)

6. Regression models (2) Panel data and fixed-effects

• plm and fixest
• CRSEs

Example: worldwide fertility, continued (QOG/WB)

7. Regression models (3) Survey-weighted data and logistic regression / GLMs

• survey and srvyr

Example: EU skepticism and migration (ESS)

8. First draft feedback

Have it earlier?

9. Regression models (4) Multilevel models

• lme4

Example: EU skepticism and migration, continued (ESS, code by Holger Döring)

10. Machine learning (1) with R

• decision trees and random forests with tidymodels

Example: White Trump voters (CCES data, code by Steven Miller)

11. Machine learning (2) with Python

• Google Colab / Jupyter
• text data
• SVMs and Naive Bayes

Example: Trump tweets (Twitter data, code by Bernhard Rieder)

12. Dashboards

• flexdashboard
• maps with sf and Leaflet

Example: air pollution (WB data, code by Paul Moraga)

[briatte]

• [ ] Have a few more exercises (graded but with low weight)
  • [ ] Week 3 -- Have an exercise on SQL (not used later on)
  • [ ] Week 4 -- Have an exercise on Web scraping (not used later on)
• [ ] Move Week 2 example to Week 1
  • [ ] Make it an exercise to test package installation (rsdmx)?
• [ ] Replace Week 2 example with map
  • [ ] Use e.g. UN energy data