These screenshots / pics are different attempts to visualize the big string of numbers we got in class. I look forward to meeting with Jer as I was not able to coordinate distinguishing between the numbers, counting the number of times they occur, etc… hopefully the next post will show a more successful attempt.
The last screenshot with the ellipses on the black background may be the most successful as it uses Jer’s “Your Random Numbers” code that makes sense given the string of random numbers.
Some standouts from the readings this week:
1. Art Against Information: Case Studies in Data Practice by Mitchell Whitelaw
Data is blurred with information.
- Only when organised and contextualised by an observer does this data yield information.
- Data is raw. Information is meaning derived from data.
“Indexes of reality”
Dragulescu’s juxtaposition of source and artefact: the dissonance of spam plants and spam architecture.
- “Anything is anything”
Jevbratt’s data bending: the network data is partly about hidden information.
Borevitz, Salavon use “overdetermined content as source material: the too familiar, the most highly produced, the most redundant and banal.”
Notions of data:
- As matter or stuff
- As concrete and objective
(Rather than contingent and relational)
2. Propositional Density in visualization by Moritz Stepaner
Stepaner gives us several useful definitions:
- Surface proposition: salient, perceptible properties (fedex logo is purple)
- Deep propositions: underlying meaning (fedex is on the go because of the arrow)
- Propositional density: number of deep propositions/number of surface
propositions it conveys