In this lab you will find 2 - 3 potential data sets to use for the final project. The goal is to give you enough time to find a data set that will help you be successful on the project.
A repository has already been created for you and your teammates. Everyone in your team has access to the same repo.
Go to course organization on GitHub.
In addition to your private individual repositories, you should now see a repo named project-. Go to that repository.
Each person on the team should clone the repository and open a new project in RStudio.
Go to the Project page on the course website and read in the introduction and Topic Ideas sections.
As you identify data sets for the project, make sure they meet the criteria stated under the Topic Ideas section.
See the Tips + Resources section of the project instructions for a list of data repositories to help you find potential data sets.
Note: The topic-ideas.Rmd file and data sets are stored in different folders, so you will need to use ../data/ before the file name to read in the data set.
For example,
my_data_frame <- read_csv("../data/my_data.csv")You will submit the final project ideas by pushing your work to your GitHub repo. The teaching team will provide feedback under the Issues on GitHub.
You do not need to submit anything for the topic ideas on Gradescope.