Readings
- Lev Manovich, “Database as a Genre of New Media,” AI & Society 14, no. 2 (June 1, 2000), http://time.arts.ucla.edu/AI_Society/manovich.html
- Shawn Graham, Ian Milligan, and Scott Weingart, “Principles of Information Visualization,” in The Historian’s Macroscope – Working Title (Under contract with Imperial College Press, 2013), http://www.themacroscope.org/?page_id=469.
- Hadley Wickham, “Tidy Data,” Journal of Statistical Software, Submitted. http://vita.had.co.nz/papers/tidy-data.pdf. (Read through the end of section 3 on page 13.)
Activities
Guest Instructor: Lisa Rhody
Morning (9-12)
- Preparing data
- Visualizing texts
Afternoon (1-4)
- Demo: Getting data ready in Excel
- Demo: Visualizing datasets using Viewshare
- Hands-on Session: Select from a set of pre-created data sets or use your own data set to combine and remix in ViewShare and then embed in website or blog
Sites
- Mapping the Republic of Letters, https://republicofletters.stanford.edu/
- Visualizing Emancipation: http://dsl.richmond.edu/emancipation/
Tools
- Wordle, http://www.wordle.net/
- ViewShare: http://viewshare.org
- Many Eyes, http://www-958.ibm.com/software/analytics/manyeyes/
- Tabula, http://tabula.nerdpower.org
Reference
- “Principles of data visualization: what we see in a visual.” Fusion Charts. http://www.fusioncharts.com/whitepapers/downloads/Principles-of-Data-Visualization.pdf