anhnguyendepocen / course-materials

Course materials for Math 241 at Reed College.

Case Studies in Data Science: Civic Data

Math 241 | Reed College | Spring 2018

Week 1: Data Visualization I

Tuesday

• Course Logistics
• Principles of Data Graphics
  • John Snow's Cholera Map (link)
  • Napoleon's March by Minard (link)
• Reading: p. 1 - 14
• Please join the slack group
• Please join datacamp

Thursday

• Visual Cues
• Reading:
  • p. 14 - 22
  • Tufte (see slack group)
• Datacamp ggplot2 part I due Monday

Week 2: Data Visualization II

Tuesday

• A grammar of graphics
• ggplot2
• Reading:
  • p. 33 - 48
  • Gelman (see slack group)
• Homework 1 due by 5 pm on thursday
• Datacamp ggplot2 part II due by 5 pm on thursday

Thursday

• Grammar of graphics, cont.
• Review Homework 1
• Projects
• Reading:
  • p. 48 - 58
  • Government is what we make of it

Week 3: Data Wrangling

Tuesday

• A grammar of wrangling
• dplyr
• Reading:
  • p. 63 - 79
• Homework 2 due by 5 pm on next Tuesday
• Datacamp dplyr due by 5 pm on next Tuesday

Thursday

• Working with multiple tables
• Factors
• Reading:
  • p. 79 - 88

Week 4: Tidy Data

Tuesday

• Di Cook: Tidy Data and Visual Inference
• Homework 3 due by 5 pm on next Thursday

Thursday

• Tidy Data
• Reading:
  • p. 91 - 104
  • Tidy Data, Hadley Wickham You're also encouraged to read this paper. It's a bit dated - he has since reorganized these ideas into the tidyr package - but it's useful to see the original formulation.

Week 5: Data Import

Tuesday

• Tidy Data II
• Writing functions
• Data Import
• Reading:
  • p. 116 - 128

Thursday

• Data Import
• Data Types
• Lubridate
• Homework 4 due by next 5 pm next Tuesday

Week 6: Ethics and Modeling

Tuesday

• Discussion: Ethics
• Reading:
  • p. 131 - 144

Thursday

• Overview of Modeling
• Linear Regression
• Reading:
  • p. 465 - 477

Week 7: Modeling, cont.

Tuesday

• Guest: Paul Gronke, Q&A about voter registration and participation in Oregon
• Activity: Data Validation and EDA

Thursday

• Logistic Regression
• Reading:
  • p. 477 - 481, 188 - 196

Week 8: Modeling, Projects

Tuesday

• Project brainstorm (brainstorm due by 4 pm today)
• Modeling with Logistic Regression

Thursday

• GitHub Workshop

Week 9: Projects

Tuesday

• Groups assigned
• Construct group repo and start on proposal

Thursday

• No class: group meetings

Week 10: Spatial Data

Tuesday

• Working with spatial data

Thursday

• TBA