PPT-Visual Analytics : Visual Exploration, Analysis, and presentation of large complex data

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Remco Chang PhD Charlotte Visualization Center Tufts University Values of Visualization Presentation Analysis Values of Visualization Presentation Analysis Values

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Visual Analytics : Visual Exploration, Analysis, and presentation of large complex data: Transcript

Remco Chang PhD Charlotte Visualization Center Tufts University Values of Visualization Presentation Analysis Values of Visualization Presentation Analysis Values of Visualization Presentation. William Ribarsky. UNC Charlotte. Two Key Statements. The purpose of visualization is insight (and practical knowledge building) not pictures.. Visual analytics is the integration of interactive visualization and analyses to solve complex reasoning problems.. of . Multi-class Scatterplots. Haidong . Chen. , . Wei . Chen, . Honghui. . Mei, . Zhiqi. . Liu, Kun Zhou, . Weifeng. Chen, . Wentao. . Gu. , Kwan-Liu Ma. Motivations. Multi-class scatterplots. Aid comparison. Roof Savings Calculator. Ensembles. Chad Jones (Apple). Kwan-Liu Ma (UC-Davis). Jibo. Sanyal (ORNL). Joshua New, Ph.D.. Building Technologies Research &. Integration Center (BTRIC). MotivationTuesday, June 23rd 2015Explorable Visual Analytics (EVA) Motivation1854Cholera outbreak in Soho, London616 DeadNo Germ Theory Miasmatic Theory (bad air)John SnowSpread through ater upply Information . Visualization and . Visual Analytics. Remco Chang. Associate Professor. Computer Science, Tufts University. Human + Computer. 1. http://www.collisiondetection.net/mt/archives/2010/02/why_cyborgs_are.php. Two Examples on . 2016 Presidential Election. Or This. http://. www.nytimes.com/interactive/2016/11/08/us/elections/how-trump-pushed-the-election-map-to-the-right.html. Are They Good Enough to Analyze What Was Going On?. Remco Chang. Assistant . Professor. Department of Computer Science. Tufts University. Big Data Visual Analytics:. A User-Centric Approach. “The . computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation. Kwan-Liu Ma. Department of Computer Science. University of California, Davis. Outline. VA research at . VIDi. UC Davis. VA . education. Mathematics foundations. Training offered by VAST contests. R. Investigators:. Leon Blazer. Jerad. Thompson. SERVING/. PITCHING. ANALYSIS. Purpose:. Analyze current methods of teaching pitching and serving using visual aids. Desired Effects. . Rope placed 14 inches above top tape of net (102 inches from ground. Challenges . and Opportunities. Remco. Chang. Tufts University. Visual Analytics = Human Computer. Visual analytics . is . “the . science of analytical reasoning facilitated by visual . interactive . Our SAS: VA Success Story. This seminar will begin at 1:00pm (EST). Audio for this meeting will be broadcasted through your PC speakers. . Please use the . Webex. Chat function to contact Rebecca Gill (HOST), if you are experiencing technical difficulties or if you have a question.. VIYA IN USD4-cores8-cores16-cores32-cores64-cores128-cores90GB RAM150GB RAM270GB RAM510 GB RAM990 GB RAM1950 GB RAM250 GB storage500 GB storage1 TBstorage2TB storage4TB storage8TB storageApplicationSA Tufts. Remco. Chang. Assistant Professor. Tufts University. Problem Statement. The growth of data is exceeding our ability to analyze them. . The amount of digital information generated in the years 2002, 2006, 2010:. This project proposes to study sensitivity analysis for guiding the evaluation of uncertainty of data in the visual analytics process. We aim to achieve:. Semi-automatic Extraction of Sensitivity Information.

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