briatte/dsr

Ideas for (graded?) exercises

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#27 opened on Apr 20, 2023

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Description

  • 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?

Contributor guide

Research direction
Examine the existing exercises and session topics in the repository, then develop a concrete exercise plan for one of the suggested ideas, including data source, analysis steps, and learning objectives.
Tech stack
None
Domain
data
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
R
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60