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It covers the full spectrum of the field, including mathematical and analytical aspects, ranging from its foundations to human visual perception; from coded algorithms for different types of data, information and tasks to the design and evaluation of new visualization techniques.


  1. Interactive Data Visualization by Matthew O Ward, Georges Grinstein, Daniel Keim.
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  5. Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition?

Sample programs are provided as starting points for building one's own visualization tools. Numerous data sets have been made available that highlight different application areas and allow readers to evaluate the strengths and weaknesses of different visualization methods.

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Exercises, programming projects, and related readings are given for each chapter. The book concludes with an examination of several existing visualization systems and projections on the future of the field.

Interactive Data Visualization

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. College-level collections strong in concepts and theory surrounding data visualization will find Interactive Data Visualization: Foundations, Techniques, and Applications to be a powerful addition, covering all the details and tools needed for building visualizations around data.

From math and statistical graphs to cartography and scientific displays, this offers plenty of details for creating visual displays of data, offering color illustrations throughout and plenty of refinement details. With chapters on elaborating on the importance of visualization, understanding the data without it, the relation to the human eyes and mind, what technology has brought in the avenues of displaying and interacting data, no concept is really left untouched. Enhanced with example data, samples, a history of computer graphics, and more, Interactive Data Visualization is a solid text to have on hand for any community or college library collection.

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    Page 1 of 1 Start over Page 1 of 1. Visualization is the process of representing data, information, and knowledge in a visual form. This book covers the full spectrum of the field, including mathematical and analytic aspects, ranging from its foundations to human visual perception; from coded algorithms for different types of data, information and tasks to the design and evaluation of new visualization techniques.

    Sample programs are provided as starting points for the reader to build their own visualization tools. Numerous data sets highlight different application areas and allow readers to evaluate the strengths and weaknesses of different visualization methods. Exercises, programming projects, and related readings accompany each chapter. See all Editorial Reviews.

    Interactive Data Visualization: Foundations, Techniques, and Applications by Matthew O. Ward

    Product details File Size: Bambang Esha rated it really liked it Jan 29, Henrik Lindberg rated it liked it Apr 04, Kwangyun Wohn rated it really liked it Aug 08, Hussain Al Radhi rated it liked it Feb 08, Haya Ali rated it it was amazing Jul 22, Joss Stubblefield rated it it was amazing Mar 04, Shamith rated it it was ok Jan 14, Darrell rated it it was amazing Oct 17, Carl rated it it was amazing Dec 04, Eugen Lounkine rated it it was ok Nov 13, John rated it really liked it Sep 24, Ray DeLaPena added it Apr 01, Wijs Digital Agency added it Mar 23, Jerzy marked it as to-read Aug 10, Hunter marked it as to-read Nov 20, Riley Young Morse marked it as to-read Dec 03, Tran Van marked it as to-read Aug 17, Haihua Li is currently reading it Sep 29, Oliver Lock marked it as to-read Feb 02, Josh added it Mar 07, Daniele Capuano marked it as to-read Aug 22, Tamrerk Nasomyont marked it as to-read Sep 18, Heather Patterson marked it as to-read Sep 29, Web Resource A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text.

    The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.

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