8/31/2022

Introduction of our MSSC Tutor - Andrew Nguyen

Discussion of R code to simulate Pi

• Volunteers will drop their solutions into !Student R Code - Solutions for Activities and Exercises in our Google Drive folder

Chapter 2

• What was you take away message from:
  • barcharts of money spent in 2012 election?
  • scatterplots of number of votes versus money spent in 2012 election?
• Networks - see Chapter 20
• Composing data graphics - similar to cooking, according to Nathan Yau
• Taxonomy for data graphics
  • visual cues - see Table 2.1
  • coordinate systems - Cartesian, Polar, Geographic (see Chapter 17)
  • scale - numeric, categorical, time
  • context - consider small multiples (facets), layers, and animation
  • color - Be Careful and consider using RColorBrewer package or other options
• The importance of data graphics - Challenger disaster
• Static data graphics with ggplot2 - see Chapter 3
• Interactive data visualizations - see Chapter 14
• Data and Art really do go together!

Live Coding from Appendix B

• Help in R
• example() function
• Assignment statement in R
• Environment tab
• Getting certain elements of an object
• Comparing elements of a vector to a scaler
• Operators - +, -, *, /, ^ (exponentiation), %% (modulus), and %/% (integer division)
• Boolean operators - or, and, not, xor - |, ||, &, xor()
• Lists (later)
• Matrices
• dataframes and tibbles
• Functions
  • rep() function
  • seq() function
  • data.frame()
  • cbind()
  • attributes()
  • str()
  • print()
  • print.data.frame()
  • class()
  • typeof()
  • glimpse()
  • str()
  • options()
  • quantile()
  • names()
  • objects()
  • ls()
  • session::session_info()
  • update.packages()

Class Activity - Exercises from Appendix B

• 3, 4, 9, and 10

Please read Chapter 3 for class on Friday.