Working With Data II¶

Collaborative paper discussion¶

Variables

Tip

To load and use a notebook in VS Code follow the steps 3 to 5 in 📘 Notebooks in VS Code

Writers

Work collaboratively on the main.typ file (other groups can also help, avoid silos).
Consolidate everything written so far into an initial "State of the Art" section in the main.typ file.
- Ensure smooth transitions between subsections and consistent referencing/style.
- Integrate any missing literature.
- You can keep previous existing files to help you draft, but your presentation should focus on the updated main.typ.
Deliverable:
- Updated main.typ and compiled pdf shared into the General Chat with the group.
- A 5-minute overall presentation walking through the current version of the paper in the main.typ file.
Going the extra mile (Optional):
- Integrate the previously created conceptual map of AP in multiparty systems (DAG).

Hackers

Identify and extract the useful variables from the ESS Round 10, building on the previously shared Jupyter Notebook:
- Country variable
- Vote intention
- Like/dislike variables toward parties or political actors
Deliverable:
- A documented Notebook (.ipynb) that builds on the previous notebook and uses python comments to guide the user.
  - It loads the ESS 10 data
  - Creates a list of strings with the identified variable names
  - Use this list to make a subset data frame with relevant variables only
  - You share the .ipynb file in the General Chat with the group
- 5-minute demo showing variable selection and initial exploration
Going the extra mile (Optional):
- Can you create a filter to keep only French respondents?

Reviewers

5-Minute Brief
- Use the "I like, I wish, I wonder" model to give a constructive paper feedback.
- Identify the top 3 current risks in the paper.
- We always refer to the main.typ file.
Going the Extra Mile (Optional):
- Assist Writers & Hackers with integrating feedback received during class!