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Visualization in the Digital Humanities

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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!

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Visualization in the Digital Humanities

  1. 1. Visualization in the Digital Humanities A survey Cornelius Puschmann English Department Heinrich-Heine-Universität Düsseldorf
  2. 2. all sources, tools and methods described in this presentation can be googled and wikipediad!
  3. 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. 4. why visualization?
  5. 6. visualization allows the analysis of large volumes of information
  6. 8. it's also a form of reading … and (re)writing
  7. 10. and increasingly a pop culture phenomenon
  8. 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?
  9. 12. visualization is the use of... <ul><li>dots
  10. 13. lines
  11. 14. shapes </li></ul><ul><li>color
  12. 15. motion
  13. 16. and other graphical elements </li></ul>for the purpose of conveying information about non-graphical data.
  14. 17. Ancient world map
  15. 18. scientific visualizations present multiple dimensions of data... days of the week number of cars
  16. 19. ...and ask if a relationship exists between them
  17. 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
  18. 21. up to now, the data visualized has typically been quantitative
  19. 22. Franco Moretti's line graphs showing the rise of the novel
  20. 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
  21. 24. R NLTK Processing.org programming/scripting GUI Many Eyes MALLET Wordle Google Charts tools
  22. 25. covers of Popular Science 1882-2007
  23. 26. wordle of a speech by Barack Obama
  24. 27. qualitative quantitative aesthetic representational scatterplot barchart pie chart words-as-colored-boxes word clouds trees maps
  25. 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, ...)
  26. 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, ...)
  27. 30. what can we visualize?
  28. 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
  29. 32. the <positive-emotion>happy</positive-emotion> girl the <negative-emotion>depressed</negative-emotion> boy
  30. 33. word classes by color
  31. 38. visualization can.. reduce complexity increase density of observable data illustrate an interpretation aestheticize data open up large datasets make an argument
  32. 39. in addition to other areas, visualization has great potential for teaching! creativity experimentation self-expression translation multilingualism analytic capabilities
  33. 40. Thanks!

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