August 2015
Intermediate to advanced
416 pages
16h 58m
English
Content preview from WebGL Insights
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6
Data Visualization with WebGL
From Python to JavaScript
Cyrille Rossant and Almar Klein
6.1 Introduction
e deluge of data arising in science, engineering, nance, and many other disciplines
calls for modern, innovative analysis methods. Whereas more and more processes can
be automated, human supervision is nevertheless oen required at most stages of analy-
sis pipelines. e primary way humans apprehend data for explorative analysis is visual-
ization. Eective big data visualization methods have to be interactive, fast, and scalable
[Rossant 13].
Modern data sets may be large and high dimensional; thus no static, two-dimensional
image can pos ...
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