Javascript And Jquery For Data Analysis And Visualization

JavaScript and jQuery for Data Analysis and Visualization  eBooks & eLearning

Posted by Underaglassmoon at Oct. 29, 2016
JavaScript and jQuery for Data Analysis and Visualization

JavaScript and jQuery for Data Analysis and Visualization
WROX | JavaScript | Dec 3 2014 | ISBN-10: 1118847067 | 480 pages | pdf | 22.83 mb

by Jon Raasch (Author), Graham Murray (Author), Vadim Ogievetsky (Author), Joseph Lowery (Author)

JavaScript and jQuery for Data Analysis and Visualization  

Posted by AlenMiler at May 28, 2015
JavaScript and jQuery for Data Analysis and Visualization

JavaScript and jQuery for Data Analysis and Visualization by Jon Raasch
English | Dec 3, 2014 | ISBN: 1118847067 | 480 Pages | EPUB/AZW3 | 4.76 MB/5.85 MB

Go beyond design concepts—build dynamic data visualizations using JavaScript. JavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic, best-of-breed visualizations using JavaScript—the most popular language for web programming.
Udemy – Learning Python for Data Analysis and Visualization (Updated)

Udemy – Learning Python for Data Analysis and Visualization
MP4 | Video: 1280x720 | 76 kbps | 48 KHz | Duration: 20 Hours | 3.23 GB
Genre: eLearning | Language: English

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!

Learning Python for Data Analysis and Visualization  

Posted by IrGens at March 10, 2015
Learning Python for Data Analysis and Visualization

Learning Python for Data Analysis and Visualization
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 64 kbps, 2 Ch | ~ 8 hours | 1.01 GB
Instructor: Jose Portilla
Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining (repost)

Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining by Tom Soukup
English | 16 May 2002 | ISBN: 0471149993 | 424 Pages | PDF | 20 MB

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non–technical audience to help them solve common business problems.
Hydrogeological Conceptual Site Models: Data Analysis and Visualization (repost)

Hydrogeological Conceptual Site Models: Data Analysis and Visualization by Neven Kresic and Alex Mikszewski
English | 2012 | ISBN: 1439852227 | 600 pages | PDF | 57,2 MB
Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications

Valerio Pascucci, Xavier Tricoche, Hans Hagen, Julien Tierny - Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications
Published: 2011-01-14 | ISBN: 3642150136 | PDF | 260 pages | 4 MB

Mathematica Data Visualization  

Posted by AlenMiler at April 10, 2015
Mathematica Data Visualization

Mathematica Data Visualization by Nazmus Saquib
English | Sep 17, 2014 | ISBN: 1783282991 | 142 Pages | AZW3/EPUB/MOBI/PDF (conv) | 7.8 MB

If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
A Primer in Biological Data Analysis and Visualization Using R

A Primer in Biological Data Analysis and Visualization Using R by Gregg Hartvigsen
2014 | ISBN: 0231166990, 0231166982 | English | 248 pages | EPUB | 2 MB
Topological Methods in Data Analysis and Visualization III: Theory, Algorithms, and Applications (repost)

Topological Methods in Data Analysis and Visualization III: Theory, Algorithms, and Applications by Peer-Timo Bremer, Ingrid Hotz, Valerio Pascucci and Ronald Peikert
English | 2014 | ISBN-10: 3319040987 | 279 pages | PDF | 8 MB

This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science.