From Data to Insights

Agenda

• Theory
  • Presentation & Discussion
• Code
  • Acquire & load data
  • Understanding data frames
• Application
  • Acquire, load & explore variables in the ANES dataset

Theory

Presentation & Discussion

• Mason, L. (2018). Ideologues without issues: The polarizing consequences of ideological identities. Public Opinion Quarterly, 82(S1), 866-887.

The Data Science Pipeline

Code & Application

• Introduction to Data Exploration

• Let's find the ANES 2020 Codebook and start exploring variables!

For next time

• Start exploring the relevant variables (DV, IV, CV) from your proposal using the ANES dataset and pandas. You can use the code in the Pandas section at the end of the Functions and Packages notebook or start from a new notebook.

• Mandatory Reading, Reading Note & Presentation

  • Barber, M., and Jeremy C. Pope. (2019). Does Party Trump Ideology? Disentangling Party and Ideology in America. American Political Science Review, 113(1), 38–54.

• Recommended Practice

  • Introduction to Data Exploration