Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Februar 2019
Genre:	Wirtschaft / Recht
	COMPUTERS / Data Science / Data Visualization / Data / Data Capture & Analysis / data visualization / Design for Information / Informatics / Information Analysis / information architecture / Information Graphics / information studies / Information visualization / Introduction / Library & Information Sciences / Library, archive and information management / Ontology Visualizations / Visualization Analysis mehr...
ISBN:	9781538118351
EAN-Code:	9781538118351
Verlag:	Rowman & Littlefield
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 228 mm / B 147 mm / D 15 mm
Gewicht:	367 gr
Seiten:	224
Illustration:	34 b/w illustrations; 123 colour photos; 24 tables
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information. Applying information visualization in research, service, teaching, and professional life requires a solid understanding of graphic design and the aesthetic along with hands-on skills and knowledge of data principles and software. This book is applicable to students in all domains, to researchers who need to understand how to create graphics that explain their data, and to professionals and administrators for professional development training. Website Designers and Human-Computer Interaction researchers will appreciate the backstory of designing interactive visualizations for the web. Drawing on the author's years of practice and teaching, it bridges the two worlds in ways everyone can participate in the future of information and to appreciate the beautiful in information: oStep-by-step directions in the fundamentals of HTML5, CSS, and d3.js oDesign challenges with fully explained answers oWeb-site support for code samples (JavaScript, d3.js, python), live examples, and a place to build a community of other IV pros oUseful for teaching design to scientists; data to the humanities oGuidance for using the text depending on the class makeup oReview of third-party visualization software, big data trends, and script libraries oGuidance on how to continue in the IV world after graduation This full-color book features graphics and a companion Web site.