Week 3 Notes - Data Visualization & Exploratory Analysis

Key Concepts Learned

• Why Visualization Matters
  • the smaller the sample, the bigger the MoE
• Grammar of Graphics(GG)
  • The ggplot2 Philosophy

Coding Techniques

• Basic ggplot2 Structure
  • make a plot
    • ggplot(data = your_data) + aes(x = variable1, y = variable2) + geom_something() + additional_layers()
    • g ← ggplot(data=acs_data) aes(x=Income, y=%bach, color=blue) geom_Points(decorate..colors, size..)
• [Quarto features learned]

Questions & Challenges

• What I didn’t fully understand
  • long & wide’
  • Left_Join & Right_Join & Full_Join(result shows all the content) & Inner_Join(result shows the same content)
• Areas needing more practice
  • add a new chunk

Connections to Policy

• [How this week’s content applies to real policy work]

Reflection

• [What was most interesting]
• [How I’ll apply this knowledge]