Reproducible Data Analysis

Slides

• Day 1 (2023-10-03): Introduction: Why code? Why reproducibility?

• Day 2 (2023-10-10): Git and GitHub

• Day 3 (2023-10-17): Basic usage of R and RStudio

• Day 4 (2023-10-24): Data loading and tidying with tidyverse

• Day 5 (Media Day): Data visualization with ggplot2

• Day 6 (2023-11-07): Writing documents with Quarto

• Day 7 (2023-11-14): Quarto, part II

• Day 8 (2023-11-21): Final presentation

Recordings

(video recordings are not available for all lectures)

• Day 4: Tidyverse

• Day 5: ggplot2

Materials

• Day 2: Git and GitHub

• Day 3: R and RStudio

• Day 4: Tidyverse

• Day 5: ggplot2

• Final Report Example

Important Deadlines

• 2023-10-16 11:59PM: Day 2 homework due

• 2023-10-23 11:59PM: Day 3 homework due

• 2023-10-30 11:59PM: Day 4 homework due

• 2023-11-06 11:59PM: Day 5 homework due

• 2023-11-20 11:59: Final paper due

• 2023-11-21: Final presentation (in class)

Office Hours

By appointment, please send an email to joelnitta@chiba-u.jp

Syllabus

Syllabus in English