- How to develop a research question
- Be curious and find a question that interests you.
- Try to find a way to answer your question with data. What kind of assumptions are you making when you make this leap?
- What are all the fields you need to answer this data-driven question?
- Execute scrape.
- Pare down data into just the information you need.
- Enrich the dataset with any external datasets if necessary. (If manually adding data, ensure that the time you’re prepared to invest are worth the question you’re trying to answer!)
- Analyze your data! Build charts to answer your original question. Were you wrong? That’s okay! That means you probably had a counter-intuitive result. What led you to have a wrong hypothesis?
What policy issues does Congresswoman Terri Sewell (D-AL 7th District, Princeton Class of 1986) care about? By scraping her account, we could collect all of her tweets and categorize them by issue as The Pudding did.
- What are some concrete takeaways from Sewell’s Twitter activity?
- What are some interpretive takeaways from Sewell’s Twitter activity?
- How effective would this data be in answering our original question?
- What techniques did the Pudding use to put their data into perspective?
- Data journalists
- Data visualization projects and essays
🪚 Exercise: Let’s workshop on 2-3 potential research questions together.