Week 2) Summarize data with dplyr and write your first Quarto report

Learning Goals

• Coding: apply ITO and dplyr for filtering, aggregation, and group_by() summaries (without merges), and produce summary tables in Quarto.
• Collaboration: practice git clone, git pull, git push, and forking workflows, and write a clear README.md.
• Automation: render and rerun Quarto documents from the command line to make reporting reproducible.

Preparation before class

• Please read chapters 3-4 of “Marketing Analytics: A Modern Toolkit” (and optionally the Appendix: Coding with AI tools, R - Markdown, R - ggplot2)
• Please complete the code quests for week 2 (Git Quest and Markdown Quest)

Tutorial

• Tutorial: From raw data to summary tables and a Quarto report

Coaching session

• Work on your team goals for this course week (see coaching #1 on your workplan).

After the lecture

• Complete all exercises from the tutorial shared with students this week.

Optional practice

• Work through R for Social Scientists chapters 6-7 (plotting with ggplot2 and getting started with R Markdown).
• Develop your R skills with Intermediate R on Datacamp (chapter 1, 2 and 3).