Intro to Data Science

Lab 7 – Function Tutorials (Draft 2)

A Guide to Your Process

Scheduling

Learning Objectives

Practice

Supporting Information

Class Discussion

Today’s Plan

  • Muddiest Point Review
  • Create New Feedback Surveys
  • Function Tutorials – Draft 2 Presentations

Today’s Learning Objectives

After today’s session you will be able to:

  • Demonstrate integration of feedback
  • Refine a feedback survey
  • Explain R functions to an audience of your peers
    • Even more confidently!

Muddiest Point Review

  • Recurring topics from most recent MPs:


  • What other topic(s) would you like to review?

Create a Google Form

  • Consult Lab #5 slides for a refresher on making Google Forms


  • Make a new Google Form for peer feedback today
    • Remember to add me to the editing side!


  • Your form should have (at least):
    • Paragraph about whether people feel you addressed their feedback from Draft 1
    • Any questions from first survey that you think are still valuable

Feedback Reminder

Keep the following pieces of advice in mind:


  1. Be specific and reasonable!


  1. Pair critiques with positive comments


  1. Be constructively critical

Temperature Check

How are you Feeling?

Comic-style graph depicting someone's emotional state as they debug code (from initial struggle and defeat to eventual triumph)

Get Ready

  • Find & knit your R Markdown file, then open the product


  • Take a deep breath and relax!
    • You got this!


  • Let me know when you’re ready

Revised Function Tutorials

  • Something to keep in mind:
    • There is an optional 3rd draft!
    • If you submit draft 3 and do better than draft 2, it will replace your score
    • So take feedback seriously just in case you’re unhappy with your draft 2 points!


  • Anyone want to volunteer to go first?
    • I’ll pick order randomly if there are no volunteers

Temperature Check

How are you Feeling?

Comic-style graph depicting someone's emotional state as they debug code (from initial struggle and defeat to eventual triumph)

Upcoming Due Dates

Due before lecture

(By midnight)

  • Homework #7

Due before lab

(By midnight)

  • Muddiest Point #8
  • Homework #8
    • Note reduced time to complete for this one!
  • GitHub Presence evaluation
  • Optional 3rd draft of Function Tutorials