Held at the 2nd European Summer School "Cultures & Technologies" (ESU-CT) in Leipzig, Germany, on July 28th, 2010. Thanks to everyone at the summer school for their feedback and many interesting discussions!

1. Visualization in the Digital Humanities A survey Cornelius Puschmann English Department Heinrich-Heine-Universität Düsseldorf

2. all sources, tools and methods described in this presentation can be googled and wikipediad!

3. Franco Moretti Graphs, Maps, Trees (2005) Information and ideas on visualization Edwar Tufte The Visual Display of Quantitative Informantion (1983) Ben Fry Visualizing Data (2008) Aditi Muralidharan's blog Twitter Processing.org

4. why visualization?

6. visualization allows the analysis of large volumes of information

8. it's also a form of reading … and (re)writing

10. and increasingly a pop culture phenomenon

11. is visualization... … a tool for research („cultural analytics“)? … a means of aestheticizing data? … a form of info-democratization? … just a fad? should we as digital humanists care? what forms of visualizations are being used and for what communicative purposes?

13. lines

15. motion

16. and other graphical elements for the purpose of conveying information about non-graphical data.

17. Ancient world map

18. scientific visualizations present multiple dimensions of data... days of the week number of cars

19. ...and ask if a relationship exists between them

20. Dimension 1: word length Dimension 2: number of unique letters Dimesion 3: overall frequency of the word (size of the dot) Dimension 4: is the word of Anglo-Saxon (red) or Latin (blue) origin? ...and ask if a relationship exists between them

21. up to now, the data visualized has typically been quantitative

22. Franco Moretti's line graphs showing the rise of the novel

23. scientific visualization traditionally works with quantitative data (statistics) consequence: visualization must be adjusted for DH use non-numerical data multivariate data subjectively quantified data

24. R NLTK Processing.org programming/scripting GUI Many Eyes MALLET Wordle Google Charts tools

25. covers of Popular Science 1882-2007

26. wordle of a speech by Barack Obama

27. qualitative quantitative aesthetic representational scatterplot barchart pie chart words-as-colored-boxes word clouds trees maps

28. formulate questions gather data (download txt/csv/rdf) analyze (R, NLTK, PHP, … or simply read! ) annotate (oxygen, text editor, ...) visualize (Processing, NLTK, R, JavaScript, … or a text marker) present (pdf, powerpoint, ...)

29. formulate questions gather data (download txt/csv/rdf) analyze (R, NLTK, PHP, … or simply read! ) annotate (oxygen, text editor, ...) visualize (Processing, NLTK, R, JavaScript, … or a text marker) present (pdf, powerpoint, ...)

30. what can we visualize?

31. what can we visualize? letters words (strings) morphemes phrases clauses narrative sequences named entitites direct speech paragraphs sentences semantic roles rhetorical devices metaphors moves character descriptions pages passages we like shifting points of view

32. the <positive-emotion>happy</positive-emotion> girl the <negative-emotion>depressed</negative-emotion> boy

33. word classes by color

38. visualization can.. reduce complexity increase density of observable data illustrate an interpretation aestheticize data open up large datasets make an argument

39. in addition to other areas, visualization has great potential for teaching! creativity experimentation self-expression translation multilingualism analytic capabilities

40. Thanks!