Schedule

• 8:30 - 9:15 [BB] data wrangling demo wk04_tidyr functions from dplyr, tidyr, lubridate, and stringr libraries by walking through examples all together

• 9:15 - 9:45 [BB] data wrangling individual exercises answering questions from a dataset on CO₂ emissions

• 9:45 - 10:00 break

• 10:00 - 10:30 [BB] data wrangling group work asking questions and answering them with your own datasets

• 10:30 - 11:30 [NT] programming concepts

  • Programming lecture [30 min]
  • Programming examples ( Rmd)
  • Programming group exercise [30 min]

Assignments

Data Wrangling (Individual)

See wk04_tidyr - Assignment (Individual).

Programming (Group)

1. Write a function in R to do some data analysis or simulation that your group will find interesting (use this to start on your project)
   • include at least two different data types
   • return a list
   • make sure you document your program
2. Add this function to your organization’s github repository - Note this is how we will check to make sure you have completed the assignment - so make sure that you have committed and pushed your function to that organization’s repository.

Resources

Data Wrangling:

• Data Wrangling (dplyr, tidyr) cheat sheet
• wrangling-webinar.pdf