Week 1 Notes - Course Introduction

Key Concepts Learned

• [List main concepts from lecture]
• [Technical skills covered] Main Class Tools
• Github
• Quarto
  • Similar to RMarkdown
    • Better site creation and language flexibility
  • Integration of code, text, and output (so basically RMarkdown)
  • Why?
    • Reproductable research
    • Professional Presentations
  • Career Relevance
    • “Industry standard”
    • Creates sites, pdfs, presentations
  • Formatting
    • Text

      • 

        text formatting how to

    • Headers

      • 

        header formatting how to

    • Lists

      • 

        list formatting how to

    • Links & Images

      • 

        header formatting how to

Coding Techniques

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

Tidyverse Review

• Why Tibbles?
  • Smarter printing
• Essential dplyr functions (you know these dummy)
  • select() – choose columns
  • filter() – choose rows i.e. youngCars <- filter(carData, oldCars == "Not Old")
  • & – syntax for AND
  • | – syntax for OR
  • mutate() – create new variables
    • Use case_when() as if statement i.e. carData <- mutate(carData, oldCars = case_when(age > 20 ~ "old", TRUE ~ "Not Old"))
  • summarize() – create statistics
  • group_by() – operate on groups condenses rows by column values (works with summarize() like pb & jelly)
• Piping
  • %>% – syntax for pipe
  • read as “then”
  • connects lines of code to minimize outputs

Questions & Challenges

• [What I didn’t fully understand]
• [Areas needing more practice] Branch control with github desktop

Connections to Policy

• [How this week’s content applies to real policy work] Learning basics of professional version control

Reflection

• [What was most interesting]
• [How I’ll apply this knowledge] Application to doing R as a group