By the end of this week, students should be able to

  • Explain tidy data concept and enumerate tidy data principles
  • Understand the importance of tidy data
  • Identify if a given data set is tidy data
  • Describe what are data observations and variables for a given data set
  • Explain what is a list column and know how to pack a list column into a tibble
  • Write {tidyr} code to get messy data into tidy data format, by pivoting, nesting/unnesting, splitting/combining, or missing values handling