Readings
- Some of these readings have a lot of math and code samples. Do your best to work your way through them, but be assured that we will talk about them in person during the day. Others are more introductory and are helpful orientation pieces. They have been labeled in brackets accordingly.
- [Summary/Introduction] Shawn Graham, Ian Milligan, and Scott Weingart, “Principles of Information Visualization,” in The Historian’s Macroscope (Open Draft Version, Autumn 2013). http://www.themacroscope.org/?page_id=469
- [Mathy] Ramnath Vaidyanathan, “Grammar of Graphics,”
https://ramnathv.github.io/pycon2014-r/visualize/ggplot2.html
- [Critique/Commentary] Frederick W. Gibbs, “New Forms of History: Critiquing Data and Its Representations,” The American Historian, February 2016:
http://tah.oah.org/february-2016/new-forms-of-history-critiquing-data-and-its-representations/
- [Introduction] “Spreadsheet Thinking vs. Database Thinking,” Eager Eyes, https://eagereyes.org/basics/spreadsheet-thinking-vs-database-thinking
- [Mathy] Hadley Wickham, “Tidy Data,” Journal of Statistical Software 59, no.
10 (Sept 2014). http://vita.had.co.nz/papers/tidy-data.pdf
- [Mathy] Grammar of data manipulation: http://lincolnmullen.com/projects/dh-r/data.html
Zotero Library of Readings
Activities
Morning (9:00am to 12:00pm)
- Discuss the Readings
- Digital Methods: The grammar of graphics
- 10:30 Break (15 minutes)
- Hands-on: Working in RStudio, rstudio.chnm.org, and plotting data with ggplot2
Lunch (12:00 to 1:00pm)
Afternoon (1:00pm to 4:00pm)
- Digital Methods: The grammar of data manipulation
- 2:15 Break (15 minutes)
- Hands-on: Manipulating data with dplyr and tidyr
- Wrap up: Discussion of data and visualization for research and teaching
