Visualization in the Digital Humanities A survey Cornelius Puschmann English Department Heinrich-Heine-Universität  Düssel...
all sources, tools and methods described in this presentation can be googled and wikipediad!
Franco Moretti Graphs, Maps, Trees (2005) Information and ideas on visualization  Edwar Tufte The Visual Display of Quanti...
why visualization?
 
visualization allows the analysis of large volumes of information
 
it's also a form of reading …  and (re)writing
 
and increasingly a pop culture phenomenon
is visualization... …  a tool for research („cultural analytics“)? …  a means of aestheticizing data? …  a form of info-de...
visualization is the use of... <ul><li>dots
lines
shapes </li></ul><ul><li>color
motion
and other graphical elements </li></ul>for the purpose of conveying information about non-graphical data.
Ancient world map
scientific visualizations present multiple dimensions of data... days of the week number of cars
...and ask if a relationship exists between them
Dimension 1: word length Dimension 2: number of unique letters Dimesion 3: overall frequency of the word (size of the dot)...
up to now, the data visualized has typically been quantitative
Franco Moretti's line graphs showing the rise of the novel
scientific visualization traditionally works with quantitative data (statistics) consequence: visualization must be adjust...
R NLTK Processing.org programming/scripting GUI Many Eyes MALLET Wordle Google Charts tools
covers of  Popular Science  1882-2007
wordle of a speech by Barack Obama
qualitative quantitative aesthetic representational scatterplot barchart pie chart words-as-colored-boxes word clouds tree...
formulate questions gather data (download txt/csv/rdf) analyze (R, NLTK, PHP, … or simply  read! ) annotate (oxygen, text ...
formulate questions gather data (download txt/csv/rdf) analyze (R, NLTK, PHP, … or simply  read! ) annotate (oxygen, text ...
what can we visualize?
what can we visualize? letters words (strings) morphemes phrases clauses narrative sequences named entitites direct speech...
the <positive-emotion>happy</positive-emotion> girl the <negative-emotion>depressed</negative-emotion> boy
word classes by color
 
 
 
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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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  • difference forms of reading: - close reading - distance reading - not-reading or scanning (Matt Kirschenbaum “The Remaking of Reading: Data Mining and the Digital Humanities“)
  • 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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