Introductions

• Name
• One thing you’re interested in
• Any past experience with R

Preparedness

You should have…

• R + RStudio installed
• Quarto doc rendered and sent to CT
• GitHub account created and posted to Slack

Motivation

• Qualtrics survey results
  • Trajectory is policy and industry
  • Little experience cleaning data
• Academic research tools are more useful than knowing the literature
  • Dealing with messy data
  • Professional presentation
  • Reproducible work

Resources

Free, open-source textbook that teaches statistics using R

• Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (moderndive.com)
• R for Data Science (r4ds.had.co.nz)
• JPAL Online Course

Support for R:

• ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google)
• Stack Overflow

What are R and RStudio?

• R is a programming language and free computing environment for statistical computing and graphics
• RStudio is an integrated development environment (IDE) that provides an interface by adding many convenient features and tools
• Think of R as a car’s engine and RStudio as the dashboard
• RStudio can also be used to manage projects, produce documents, build websites

Peronalization

• Customize the appearance of your R IDE by going to Tools -> Global Options -> Appearance

Quarto

• Quarto integrates code into document production (R, Python, etc.)
• Useful for producing professional .pdf or .html files, building websites
• All assignments will require building .html files in Quarto
• Final project will build a public website presenting an original analysis