Visualization of large scale datasets looks darn pretty
January 7, 2013 9:18 AM Subscribe
posted by legweak (10 comments total)
18 users marked this as a favorite
is a new body of artwork aimed at exploring the gap between data and information. Consisting of a set of images
, this project stems from our interest in glitches, code-breaking, and translation. our custom script encodes text files as images, making it possible to visualize both the size and architecture of large-scale data sets through an aesthetic lens. So if you ever wanted to see hamlet as a jpeg
and find artistic merit hiding within its code, here's your chance.
A collaborative project that examined the interplay of data, information, and knowledge won the jury prize for the Distributed Microtopias exhibition at the 15th Annual Finger Lakes Environmental Film Festival
. The University of Tennessee's Remote Data Analysis and Visualization Center (RDAV)
collaborated with University of Tennessee Knoxville artist Evan Meaney
on the project, called Null_Sets
, which is a collection of artwork that visualizes the size and structure of data. The artwork was created using an open source script developed at RDAV in which whole bodies of text, from classic literature to HTML to genomic data, can be exported as digital images. Null_Sets uses encoding to represent the changes in pixel color and intensity, and might be adapted to explore how values in a data set change. "This project makes it possible to visualize both the size and architecture of large-scale data sets through an aesthetic lens," Meaney says. RDAV's Amy Szczepanski notes "the techniques we developed in this project laid the groundwork for a larger project that will likely use the Nautilus supercomputer (managed by the National Institute for Computational Sciences
) in the future."