Week 2: Project Management and exploring and auditing data with RMarkdown

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.

Lecture

Laptop required!

• Tutorial (view slides, view complete tutorial)

Coaching session

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

After the lecture

• Please work through the RMarkdown part of the tutorial R for Social Scientists (chapter 7, 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