Links for ‘Data visualisation for humanities researchers’

Here are some links we’ll be using in exercises in the workshop. The workshop will be held in the Library IL Suite on the second floor of the Library on the Open University campus. The workshop slides are downloadable at Data Visualisation for CHASE Digital Scholars.

While getting started…

Exploring visualisations

Scholarly visualisations to explore and critique

Cleaning and preparing data for visualisations

Creating visualisations

Exercise: visualising data

  • Choose one of your datasets (or a subset)
  • Decide: exploratory or explanatory? Static or dynamic? Small- or large-scale? Why?
  • Choose a type of visualisation (map, timeline, chart, etc)
    • Is your dataset in a suitable format for your visualisation type? How can you clean it? While you’re learning, you might want to start with just two fields – try combining dates or locations with another value.
    • Optionally, sketch out your visualisation on paper to test it
  • Choose one of IBM Many Eyes, Google, Tableau or other tools as appropriate for your chosen visualisation
  • Try a visualisation and evaluate the results
    • Is more cleaning or transformation needed? You may need to iterate with different versions of your data

Inspiration for future work and further reading

Books on information visualisation

  • Few, Stephen. 2009. Now I See It: Simple Visualization Techniques for Quantitative Analysis. Analytics Press.
  • Lima, Manuel. 2011. Visual complexity: mapping patterns of information. New York: Princeton Architectural Press.
  • Moretti, Franco. 2005. Graphs, maps, trees: abstract models for a literary history. London: Verso.
  • Stanton, Jeffrey. 2013. Introduction to Data Science. (ebook with code examples for learning R)
  • Tufte, Edward R. 1983. The Visual Display of Quantitative Information. Graphics Press.
  • Tufte, Edward R. 2007. Beautiful evidence. Cheshire, Conn: Graphics press.
  • Ware, Colin. 2008. Visual Thinking for Design. Morgan Kaufmann.
  • Yau, Nathan. 2011. Visualize this: the FlowingData guide to design, visualization, and statistics. Indianapolis, Ind: Wiley Pub.

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