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Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
Visual analytics seeks to marry techniques from information visualization with techniques from computational transformation and analysis of data. Information visualization forms part of the direct interface between user and machine, amplifying human cognitive capabilities in six basic ways: [2] [5] by increasing cognitive resources, such as by ...
Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]
The Visualization Handbook is a textbook by Charles D. Hansen and Christopher R. Johnson that serves as a survey of the field of scientific visualization by presenting the basic concepts and algorithms in addition to a current review of visualization research topics and tools. [1]
Early attempts at combining these techniques for Interactive Visual Analysis occur in the WEAVE visualization system for cardiac simulation [3] in the year 2000. SimVis appeared in 2003, [ 4 ] and multiple Ph. D. projects have explored the concept since then - notably Helmut Doleisch in 2004, [ 5 ] Johannes Kehrer in 2011 [ 6 ] and Zoltan ...
Scientific visualization focuses and emphasizes the representation of higher order data using primarily graphics and animation techniques. [ 5 ] [ 6 ] It is a very important part of visualization and maybe the first one, as the visualization of experiments and phenomena is as old as science itself.
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