Interactive Data Visualization: Foundations, Techniques, and Applications (Second Edition)

Interactive Data Visualization: Foundations, Techniques, and Applications (Second Edition)

Pas encore d'évaluations
2015 · Anglais · Relié · 2 éditions
Ajouter à l'étagère

Évaluer ce livre


Exporter le journal de lecture

Description

This edition delves into the transformative field of interactive data visualization, guiding readers through its essential foundations and innovative techniques. Matthew O. Ward, Georges Grinstein, and Daniel Keim bring a wealth of knowledge, weaving together theoretical concepts with practical applications, ensuring that both novices and seasoned professionals can reap the benefits of advanced visual tools.

Structured methodically, the narrative introduces key principles of data visualization and the technology that underpins it. It emphasizes the importance of interactivity in enhancing the comprehension of complex datasets, allowing users to engage directly with the information presented. As the authors illustrate various methods of visual exploration, they also highlight how these tools can influence decision-making across diverse sectors.

Through real-world examples and illustrative case studies, they illuminate how interactive visualizations can transform the way one interprets data. The reader is equipped not only with foundational knowledge but also with the skills needed to implement these techniques in various contexts, from business analytics to scientific research.

Ultimately, this edition serves as both a comprehensive reference and a hands-on guide for those looking to master the art of data visualization. With its focus on merging use with theory, it prepares readers to navigate the evolving landscape of data interpretation with confidence and creativity.

Détails du livre

Format Relié
Pages 578 pages
Langue Anglais
Publié juin 10, 2015
Éditeur A K Peters / CRC Press
Édition 2
Éditions 2 éditions
ISBN-10 1482257378
ISBN-13 9781482257373
Ajouter à l'étagère

Évaluer ce livre


Exporter le journal de lecture