Interactive Data Visualization

Interactive Data Visualization
Author :
Publisher : CRC Press
Total Pages : 578
Release :
ISBN-10 : 9781482257380
ISBN-13 : 1482257386
Rating : 4/5 (386 Downloads)

Book Synopsis Interactive Data Visualization by : Matthew O. Ward

Download or read book Interactive Data Visualization written by Matthew O. Ward and published by CRC Press. This book was released on 2015-06-11 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Updated Guide to the Visualization of Data for Designers, Users, and Researchers Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms. Full source code is provided for completing implementations. New to the Second Edition New related readings, exercises, and programming projects Better quality figures and numerous new figures New chapter on techniques for time-oriented data This popular book continues to explore the fundamental components of the visualization process, from the data to the human viewer. For developers, the book offers guidance on designing effective visualizations using methods derived from human perception, graphical design, art, and usability analysis. For practitioners, it shows how various public and commercial visualization systems are used to solve specific problems in diverse domains. For researchers, the text describes emerging technology and hot topics in development at academic and industrial centers today. Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem. In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques. 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.


Interactive Data Visualization Related Books

Interactive Data Visualization
Language: en
Pages: 578
Authors: Matthew O. Ward
Categories: Computers
Type: BOOK - Published: 2015-06-11 - Publisher: CRC Press

DOWNLOAD EBOOK

An Updated Guide to the Visualization of Data for Designers, Users, and Researchers Interactive Data Visualization: Foundations, Techniques, and Applications, S
The Visual Display of Quantitative Information
Language: en
Pages: 197
Authors: Edward R. Tufte
Categories: Mathematics
Type: BOOK - Published: 2001-01-01 - Publisher:

DOWNLOAD EBOOK

Graphical practice. Theory of data graphics.
Data Visualization 2001
Language: en
Pages: 370
Authors: D. Ebert
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book contains 33 papers presented at the Third Joint Visualization Symposium of the Eurographics Association and the Technical Committee on Visualization a
Info We Trust
Language: en
Pages: 361
Authors: RJ Andrews
Categories: Computers
Type: BOOK - Published: 2019-01-03 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adve
Topological Methods in Data Analysis and Visualization
Language: en
Pages: 265
Authors: Valerio Pascucci
Categories: Mathematics
Type: BOOK - Published: 2010-11-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, phy