Course schedule for ECON 122 (F19)

Michael Gelman (mgelman@cmc.edu), Claremont McKenna College

Textbook: Modern Data Science with R (1st edition)

• Syllabus
• GitHub reference
• Additional free resource: R for Data Science

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Assignments due

• Test assignment (due 09/05)
  • Solutions .Rmd .md
• Problem Set 1 (due 09/16)
  • Solutions .Rmd .md
• Problem Set 2 (due 09/25)
• Team Project 1 (due 09/30)

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Week 1 (09/03)

Tuesday (intro, GitHub, test assignment)

• before class:
  • Try to set up R, RStudio, Git, GitHub account (See GitHub reference)
• in class:
  • day 1 slides: .Rmd .html
  • test assignment

Thursday (reproducibility, R Markdown)

• before class:
  • complete test assignment and push both .rmd and .md files to GitHub.
  • read MDSR Chapter 1 and Appendix D
  • Start looking at PS 1
• in class:
  • day 2 slides: .Rmd .html
  • day 2 activity: .Rmd .md

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Week 2 (09/10)

Tuesday (R objects, R functions)

• before class:
  • read MDSR Appendix sections B.4, B.5 and C.2
  • read Grolemund/Wickham sections 20.2 Vector Basics, 20.3 Types of Vectors (focus on logical, numeric), and 20.5 Lists
• in class:
  • day 3 slides .Rmd .html
  • day 3 activity: .Rmd .md
    • solutions: .Rmd .md

Thursday (ggplot2 graphics)

• before class:
  • read MDSR sections 3.1 and 3.2. Section 3.3 contains some dplyr work that I will save for discussion in chapter 4.
  • read Grolemund/Wickham sections 3.1 - 3.5
  • Reminder: PS 1 due on Monday
• in class:
  • day 4 slides: .Rmd .html
  • day 4 activity: .Rmd .md
    • solutions: .Rmd .md

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Week 3 (09/17)

Tuesday (more ggplot2 and start interactive graphics)

• before class:
  • little more ggplot: read Grolemund/Wickham sections 3.6 - 3.10
  • just read pages 324-325 in MDSR to get a feel for map projections. For now we will just be working with simple maps that only need lat/long and build-in map boundries.
  • quick read MDSR sections 11.1-11.3 in chapter 11 to get a "big picture" idea of some of the interactive graphing options in R.
  • get started looking over this Shiny demo that explains some basic elements of interactive graphs with Shiny (more about this on Thu)
  • Start on PS 2
  • Read about Volfefe index, Volfefe index words
• in class:
  • day 5 ggplot slides: .Rmd .html
  • day 5 interactive graphics slides: .Rmd

Thursday (shiny interactive graphics)

• before class:
  • Reminder: PS 2 due on Wed
• in class: shiny interactive graphics
  • day 6 slides: .Rmd
  • day 6 activity: .Rmd

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Week 4 (09/24)

Tuesday (Introduction to dplyr)

• before class:
  • go over the day 6 activity and example solution graphs (posted above)
  • read MDSR sections 4.1 and 4.2
• in class: basic data wrangling with dplyr
  • day 7 slides: .Rmd .html
  • day 7 activity: .Rmd .md

Thursday (Work on Team Project 1)

• before class:
  • Make sure you have your Team Project 1 partners
• in class:
  • Work with partners on Team Project 1
  • Ask any questions realted to material up to this point

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Week 5 (10/01)

Tuesday (Joins in dplyr)

• before class:
  • go over the day 7 activity solutions
  • read MDSR section 4.3 and 4.4
  • get started with PS 3
• in class:
  • day 9 slides: .Rmd .html
  • day 9 activity: .Rmd .md

Thursday (Data intake)

• before class
  • read MDSR sections 5.5.3 and 5.5.4 (we'll come back to the other sections after the exam)
  • read Grolemund/Wickham chapter 16 - focus on sections 16.2 and 16.3.
• in class
  • day 10 slides: .Rmd .html
  • day 10/11 activity: .Rmd .md

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