Data Visualization Made Simple

Insights into Becoming Visual

Kristen Sosulski (New York University, USA)

$305

Hardback

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English

Routledge
20 September 2018

Databases; Information visualisation

Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more.

In nine appealing chapters, the book:

examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research;

scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and

includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries

Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.

By: Kristen Sosulski (New York University USA)
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 620g
ISBN: 9781138503878
ISBN 10: 1138503878
Pages: 272
Publication Date: 20 September 2018
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Kristen Sosulski is Associate Professor of Information Systems and the Director of the Learning Science Lab at New York University’s Stern School of Business, USA.

Reviews for Data Visualization Made Simple: Insights into Becoming Visual

"""In the tradition of Edward Tufte’s design strategies for visual and narrative representations that frame our shared reality, Sosulski has artfully crafted a functional guide to design patterns and processes for shaping expressions of data and, most importantly, its usage in real-world organizational contexts. This will be a go-to reference in my library for years to come."" —Jason Severs, Chief Design Officer, Droga5"