Mini-project Goals

Your team is here to practice, and your instructors are here to coach. In the time scheduled for “Coaching,” each team should aim to achieve the following:

Mini-project Goals

• Collaborate on a GitHub repository.
• Introduce your team via a README (Tuesday).
• Script a reproducible “data-to-document” pipeline.
• Present mini-results (Friday).

Practice #1: Tuesday

1. Choose a git captain, and
   1. (Captain) create a GitHub repo,
   2. (Captain) invite collaborators, and
   3. (Team) accept invitation.
2. (Captain) Create a RStudio project from the repo.
3. (Captain) Start a README.md & push files.
4. (Team) Create a RStudio project from the repo.
5. Add to the README.md and merge/push.

Practice #2: Wednesday

1. Discuss your data:
   1. Are your data in tidy tables?
   2. Can you define relationships between tables?
   3. How will you share it within the team?
2. Read data into R and prepare it for a simple analysis or visualization.
3. Update the README.md on GitHub.

Practice #3: Thursday

1. Begin to code a simple regression analysis or visualization.
2. Decide on the format of your presentation (consider RMarkdown).
3. Practice your collaborative workflow: stage, commit, pull, and push!

Practice #4: Friday

1. Discuss the first steps of your reproducible pipeline. How do you plan to acquire your data?
2. Discuss the final steps of your reproducible pipeline. Should you create a data package?
3. Try to get that regression model working or finish that data visualization.
4. Prepare to present on your mini-project!

Scrimmage!