ui for big data visualization | jonathan stray | ux week 2012
Post on 12-Sep-2014
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DESCRIPTION
Visualization is great way to understand data, but it breaks down when the data gets big. Simply plotting everything to the screen won’t work, because there isn’t enough screen real estate, interactions slow to a crawl, and human working memory isn’t up to the task anyway. Big data requires specific interaction techniques for visual exploration, such as filtering, summarization, and context. We’ll go over some basic principles, and I’ll show examples of recent systems, including our work on the Overview Project, a system for visual exploration of huge unstructured document sets.TRANSCRIPT
jonathan strayoverview project
associated press
interfaces for big data visualization
Ben Fry, Computational Information Design
visualization extends perception
“Visualization allows people to offloadcognition to the perceptual system, usingcarefully designed images as a form ofexternal memory.
The human visual system is a very high-bandwidth channel to the brain, with asignificant amount of processing occurring inparallel and at the pre-conscious level.”
Tamara Munzner
a visualization turns something you want to find
into something you can see
correlations
clusters
extents
outliers
work with human perception
work with human senseswork with human memorywork with human cognition
you have never seen a violin.
perception involves interactivelydirecting narrow attention
don’t show it all.(you can’t anyway)
filter
summarize
categories = “distance metric” +clustering algorithm
d(x, y) ≥ 0d(x, x) = 0d(x, y) = d(y, x)d(x, z) ≤ d(x, y) + d(y, z)
k-meanssingle link
hierachical
annotate
history
snapshots
notes
tags
demo
the overview projectoverview.ap.org
the world does not springmagically into our heads.
neither does big data.
Interface extends perception. thanks@jonathanstray