Lab 04

Feature engineering

Oct 06 - 07, 2022

Welcome

Goals

• Meet your team!
• Team agreement
• Lab 04: The Office
• STA 210 Mid Semester Survey

Meet your team!

• Click here to find your team.

• Sit with your team.

Team name + agreement

• Come up with a team name. You can’t have the same name as another group in the class, so be creative!

  • Your TA will get your team name by the end of lab.

• Fill out the team agreement. The goals of the agreement are to…

  • Gain a common understanding of the team’s goals and expectations for collaboration
  • Make a plan for team communication
  • Make a plan for working outside of lab

Team workflow

• Only one team member should type at a time. There are markers in today’s lab to help you determine whose turn it is to type.

  • Every team member should still be engaged in discussion for all questions, even if it’s not your turn type.

• Don’t forget to pull to get your teammates’ updates before making changes to the .qmd file.

  Important

  Only one submission per team on Gradescope. Read the submission instructions carefully!

Team workflow, in action

• Complete the “Workflow: Using Git and GitHub as a team” section of the lab in your teams.
• Raise your hand if you have any questions about the workflow.

05:00

Tips for working on a team

• Do not pressure each other to finish early; use the time wisely to really learn the material and produce a quality report.

• The labs are structured to help you learn the steps of a data analysis. Do not split up the lab among the team members; work on it together in its entirety.

• Everyone has something to contribute! Use the lab groups as an opportunity to share ideas and learn from each other.

STA 210 Mid Semester Survey

Please take a few minutes to complete the STA 210 Mid Semester Survey.

Click here to access the survey.

Resources for Lab 04

• Lecture notes:

  • Feature engineering
  • Feature engineering: Model workflow

• Recipes package function reference

• Tidy Modeling in R - Chapter 8: Feature engineering with recipes

Note

If you haven’t already, you will need to install the schrute R package for the lab. Run the code below in the console.

install.packages("schrute")