Week 1 Notes - Course Introduction

Key Concepts Learned

• • Tidyverse presents data as ‘tibbles’ – presents better
• it Uses data_
• R presents data as data frames
• Uses data.
• Select1 <- select(car_data, column1, column2….)
• Mutate(car_data, price_k = Price / 1000)
• Filter(car_data, Price > 2000)
• Rename – to rename columns

Coding Techniques

• [New R functions or approaches]
• [Quarto features learned]

Questions & Challenges

• [What I didn’t fully understand]
• [Areas needing more practice]

Connections to Policy

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

Reflection

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