Mdst 3559-01-20-intro

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Mdst 3559-01-20-intro

  1. 1. Introduction<br />MDST 3559: DataestheticsProf. Alvarado1/20/20<br />
  2. 2. What is “dataesthetics”?<br />Or, what does data have to do with aesthetics?<br />
  3. 3. Definitions<br />Aesthetics<br />Concerned with beauty, taste, and perception.<br />Branch of philosophy contrasted with Logic.<br />“De gustibus non estdisputandum.”<br />Data<br />Discrete items of information.<br />Organized into regular structures.<br />Usually serves as the basis of Logic (reason and evidence.)<br />
  4. 4. There is a logic to art and an art to logic<br />
  5. 5. Flagellation, Piero della Francesca, c. 1448-49<br />
  6. 6. Demonstration of internal light source in Flagellation by Pierodella Francesca <br />
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  11. 11. Art and logic merge in the concept of DESIGN<br />Logic : Art :: Part : Whole<br />
  12. 12. helps<br />
  13. 13. Design pertains to representation<br />Dataesthetics is about digital representation<br />
  14. 14. What is digital representation?<br />
  15. 15. Digital Representation<br />“The use of discrete impulses or quantities arranged in coded patterns to represent variables or other data in the form of numbers or characters.”<br />i.e. Mapping of an object onto numbers and patterns<br />Examples:<br />Color as RGB<br />Space, time ...<br />But can be done with almost anything<br />
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  18. 18. The Shape of Song<br />http://www.turbulence.org/Works/song/method/method.html<br />
  19. 19. Madonna, “Like a Prayer”<br />
  20. 20. Bach’s Goldberg Variations<br />
  21. 21. These examples work the same way<br />The object is mapped to a set of data and then transformed by algorithms<br />
  22. 22. The goal of this course is to learn how to map domains into data sets—texts, images, beliefs, etc.<br />So they can be manipulated and visualized<br />
  23. 23. Examples<br />
  24. 24. Visualizing the Bible<br />
  25. 25. http://www.science-metrix.com/OntologyExplorer/#<br />
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  28. 28. “I'm looking forward to you interpretations.”<br />
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  34. 34. Playfair's parallel time-series bar chart of prices of wheat, wages and monarchs over 250+ years. (Source: Playfair, <br />Letters on our agricultural distresses...; Tufte, p. 34) <br />
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  37. 37. Other examples<br />http://www.ted.com/talks/hans_rosling_reveals_new_insights_on_poverty.html<br />http://3.bp.blogspot.com/_70Gw2abmBeI/TQ0sv2Fs6vI/AAAAAAAAA6Q/yu67k0UWCGc/s1600/AHMap.jpeg<br />http://www.visualcomplexity.com/vc/<br />http://infosthetics.com/<br />
  38. 38. Dimensions of Contrast<br />Hand-made vs. auto-generated<br />The use of space to signify dimensions<br />Use of colors, shapes, etc.<br />Interpretability<br />Levels: data models vs. data “reports”<br />
  39. 39. Focus<br />Abstract representations (graphs, trees, networks, user interfaces, etc.)<br />Tools:<br />PHP, CSV, MySQL, HTML, GraphViz, other network display and analysis tools<br />
  40. 40. In this course<br />You will learn how to acquire and extract data from different kind of sources<br />Of interest to the humanities and social sciences<br />You will learn how to use basic tools to express these data visually and interactively<br />You will acquire a vocabulary with which to express and frame your design decision<br />
  41. 41. Resources<br />WordPress site is accessible from UVaCollab<br />Readings for Tuesday will be posted today<br />Download and install jEdit<br />Enable Home Directory Service <br />See http://itc.virginia.edu/homedir/<br />Unix accounts will be created on STUDIO1<br />

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