This is a working agenda to be updated as the course progresses.

Week One

  • Before Class: Install R and RStudio
  • Monday Morning: Introduction to R and Graphing
  • Tuesday Morning: More advanced graphing
  • Tuesday Afternoon: GitHub and RMarkdown
  • Wednesday Morning: Data wrangling
  • Thursday Morning: Text strings
  • Thursday Afternoon: Disaster data and techniques for reproducible data science

Week Two

  • Monday Morning: Ethical data visualization
  • Tuesday Morning: Web scraping
  • Tuesday Afternoon: Text analysis of word frequency and association
  • Wednesday Morning: Joining and animating I
  • Thursday Morning: Joining and animating II
  • Thursday Afternoon: Census data, joining by location, and choropleth maps with tmap

Week Three

  • Martin Luther King Day: no class
  • Tuesday Morning: Choropleth maps with ggplot and leaflet
  • Tuesday Afternoon: Spatial hotspot analysis
  • Wednesday Morning: Shiny Apps I
  • Thursday Morning: Shiny Apps II
  • Thursday Afternoon: Network visualization; Form small group research questions and plans

Week Four

  • Monday Morning: Special Topic T.B.D.
  • Tuesday Morning: Special Topic T.B.D.
  • Tuesday Afternoon: Shiny App Development & Storytelling
  • Wednesday: Symposium of Projects
  • Thursday: Symposium of Projects