TODO items from class debriefs

[briatte]

• All weeks
  • Unify slides ('practice session' slides are different in Weeks 1-10 and in Weeks 11-12)
  • Clean up the readings
    • Focus on as a few core handbooks as possible
    • Cite extra references in the slides/emails
  • Sync the 'readings' slides with the lists of readings + videos sent by email
  • Sync with 'official' syllabus
• Week 3
  • Fix Improve Deaton 2021 (dsr-03/01-covid-income) #10
  • Fix Explain EU mood data cleaning sequence #11
  • Lose countrycode dependency?
• Week 4
  • Fix Explain EU mood data cleaning sequence #11 (again?!)
  • Fix Improve Anscombe example #9
• Week 5
• Week 6
  • Refer students to readings, and to this for distributions: https://www.statology.org/tutorials/
  • Link from example NYT article with confidence intervals
• Week 7
  • Slides required!!!
  • Debrief email required!!!
  • Refer students to this tutorial as wrap-up on descriptive stats, correlation and SEs
• Week 8
  • Update Bartels data using recent BLS data?
  • Try to code an EU 2012 membership dummy and add it to Exercise 8?
    • use this: https://jfjelstul.github.io/eums/index.html
    • Current europe dummy, minus Albania, Bosnia, Croatia, Kosovo
  • … or try a Eurozone membership dummy?
    • use this: https://jfjelstul.github.io/eums/index.html
  • Add a mention of Schrodt 2010 in the slides?
  • Cite other extra references, e.g. book on interactions, Breiman's two cultures?
  • Mention the many model tutorials there: https://ourcodingclub.github.io/tutorials.html
  • Mention the many stat/ML tutorials there: https://www.statology.org/machine-learning-tutorials/
• Week 9 (nonlinearity/logit)
  • Slides required!!! (use those from this year's Session 10)
  • Debrief email required!!!
  • Show Jackman graphs of US votes?
• Week 10 (surveys, ex-Week 6)
  • Debrief email required!!!
  • Slides required!!! (cite Gelman 2006)
  • Cover survey data with dummies -- use Chris Hanretty example on same-sex vote?
  • Code Arab Barometer example with survey weights?
  • Code ESS example with weights?
    • In that case, make the exercise use them too?
  • survey exercise using LFS data (relevant to student internships)
• Week 11
  • Debrief email required!!!
• Week 12
  • Document population density fallacies: problem: US map, solution: cartograms (using Plotly?)
    • better maps, esp. US → incl. electoral choropleth from IDA 2013?
    • see comment below on Week 12
  • bonus: SQL + maps/geolocation + R Markdown
    • replace final feedback exercise with this? make it a bonus demo
    • nuclear plants, with SQL: GeoNuclearData-master.zip
    • make it a knittable document: see https://rstudio4edu.github.io/rstudio4edu-book/rmd-templates.html
  • bonus: Web scraping
    • En Marche! 2023 example?
    • Examples from IDA 2013? See Import the best IDA examples #28
    • RSelenium example?
  • Mention the many spatial data tutorials there: https://ourcodingclub.github.io/tutorials.html
  • Debrief email required!!!
    • include link to Spotify playlist
    • include link on APC effects: "America’s Liberal Social Climate and Trends: Change in 283 General Social Survey Variables between and within US Birth Cohorts, 1972–2018" (Hout, POQ, 2021)
    • include link to explanation video on life expectancy (used 4 times as an example variable)
    • include link to https://in-pursuit-of-development.simplecast.com/episodes/indermit-gill
    • include link to Silge and Robinson vidcasts
      • Silge, Topic modeling with R and tidy data principles
    • include link to Savage on Bourdieu
    • how to stay updated on new R stuff
      • useR, rstudio::conf, now posit::conf
      • R Weekly, R Views
      • CRAN Task Views
      • Twitter
    • how to learn moar
      • courses, e.g. SCISS, Coursera, DataCamp
      • read through other courses → link to wiki page
      • find R code on GitHub
      • StackOverflow, CrossValidated

Ideas for more graded exercises

See #27

More (bonus) examples

See #28

Teaching resources

https://education.rstudio.com/teach/

[briatte]

For maps on Week 12, show Scandinavia:

sc <- filter(geo, NAME_EN %in% c("Denmark", "Finland", "Norway", "Sweden"))
(bb <- sf::st_bbox(sc))
ggplot(sc) +
  geom_sf(aes(fill = NAME_EN)) +
  coord_sf(ylim = c(54, 71), # y = latitude = horizontal
           xlim = c(4, 33))  # x = longitude = vertical

… or even plot EU with 2004 accession countries?