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Dive into the world of data visualization with this comprehensive guide covering computing, 3D environments, graphics processing, and more. Learn about cluster computing, design, statistics, and various graph types. Enhance your literacy in data visualization through techniques such as data manipulation and scraping. Uncover new insights through data exploration and processing methods.
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Data Visualization and Libraries Justin Joque Visualization Librarian University of Michigan joque@umich.edu September 2014
A Spectrum of Research Visualization • Computing • Displays • 3D Environment • Graphics Processing • Cluster Computing • Design • Literacy • Statistics • Graph Types • Description • Processing • Data Manipulation • Data Scraping • Exploration
The first to disintegrate a nucleus was Rutherford, and there is a picture of him holding the apparatus in his lap. I then always remember the later picture when one of the famous cyclotrons was built at Berkeley, and all of the people were sitting in the lap of the cyclotron. -Maurice Goldhaber, former director of Brookhaven Laboratory
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Thank You! Justin Joque Visualization Librarian University of Michigan joque@umich.edu