briatte / dsr

Introduction to Data Science with R (Sciences Po, Paris, 2023)

https://f.briatte.org/teaching/syllabus-dsr.pdf

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Ideas for (graded?) exercises #27

Open briatte opened 1 year ago

briatte commented 1 year ago

There are sessions without exercises: Week 6 (association), and Week 11 (classification).
The exercise for Week 10 (logit) is a follow-up to Week 8 (linear regression), but leave it that way.
The exercise for Week 12 is a no-code exercise.

1. 'secret weapon' on births and female educ.

[ ] have students start with average over years
[ ] use QOG, or ask for students to assemble the data themselves
[ ] use a t-test instead of linear regression, and make it the exercise for Week 6?

2. regression on survey + PCA on aggregated vars

[ ] Use regional data?
[ ] Make it exercise for Week 11?

3. complex data wrangling with EES 2019 / PartyFacts

[ ] aggregate country/party-level answers
[ ] complex merge of DTA/CSV (CSV has party names)
[ ] add a merge to e.g. PartyFacts?
[ ] compute PTV by party family

… when to have that?