WEEK 8: ALGORITHMS, BRANCHING, CONCRETE WRITING
Alluring Algorithmic, Branching, Concrete Examples
The Allure of the Limitations of Language
Think of a phrase, any phrase…
that must contain any combination of the following…
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
a b c d e f g h i j k l m n o p q r s t u v w x y z
1 2 3 4 5 6 7 8 9 0 , . [SPACE]
The location of your selected phrase will be…
on a
PAGE
in a
BOOK
on a
SHELF
on a
WALL
John Vu
Example of Algorithm
The Library of Babel (created by Jonathan Basile) brings a thought experiment of Jorge Luis Borges to life through the use of an algorithm.
Borges’s book of the same name introduces the thought experiment of a library consisting of books containing every possible combination of letters and words is brought to fruition in the form of a digital collection of 10^4677 books, containing “every play, every song, every scientific paper, every legal decision, every constitution, every piece of scripture, and so on.”
The illusion of language being something infinite is thus shattered within its walls.
Edgar Allan Poe
An American writer, poet, editor, and literary critic. Poe is best known for his poetry and short stories, particularly his tales of mystery and the macabre. He is resurrected here through the ‘Allure’ of art and Apollinare’s Calligrams, the Concrete Poetry of an assimilated trans-human.
Valentine
WEEK 13: DATA VISUALIZATION & CINEMA
Big Data Visualization Techniques
Key Principles of Effective Data Visualization
The list below is a summary of the core concepts that make data visualization most useful, as identified by Few and Tufte.
- Clarify – set a clear objective that people care about
- Simplify – present only the visualization style that is most appropriate for the type of data being analyzed
- Compare – display side-by-side comparisons for easy absorption
- Attend – draw the viewer’s attention to the important/relevant data
- Explore – create visuals that leads the viewer to discover new things, not simply answer a specific question
- View Data Diversely – enable multiple views of the same data to discover various insights
- Ask Why – question why something is happening, don’t simply note that it is happening
- Be Skeptical – encourage more question-asking vs. accepting the simple answer provided by the initial query
- Respond – share the data you uncover to gain alternate perspectives and build collaboration
- Detail – make large data sets coherent and reveal data at several levels of detail
- Validate – data visualization graphs should speak for themselves but also provide access to backup information and raw data as proof points
T K Svensson
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