Week 2) Exploring data with RMarkdown and ggplot2

Learning Goals

• Explore, manipulate, and filter data sets in R, including reading data from text files and modifying data frames.
• Create and manage various data types in R, such as vectors, matrices, and data frames.
• Apply basic programming concepts, generate summary statistics, and create plots in R.
• Assess data quality, perform calculations, and produce RMarkdown documents in HTML or PDF formats.

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)

Tutorial

• Exploring Data with RMarkdown

Coaching session

After the lecture

• Please work through the RMarkdown part of the tutorial R for Social Scientists (chapters 6-7: plotting with ggplot2 and getting started with R Markdown)
• Optional (for students needing more practice with R/RStudio):
  • Develop your R skills by working on the Intermediate R on Datacamp (chapter 1, 2 and 3) course