Data Visualization Made Simple - Insights Into Becoming Visual

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.

List of contents

1. Becoming Visual 2. The Tools 3. The Graphics 4. The Data 5. The Design 6. The Audience 7. The Presentation 8. The Cases 9. The End

About the author

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.

Summary

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.

Additional text

"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

Product details

• Authors: SOSULSKI, Kristen Sosulski, Kristen (New York University Sosulski, Sosulski Kristen
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 30.09.2018
• EAN: 9781138503878
• ISBN: 978-1-138-50387-8
• No. of pages: 272
• Subjects: Humanities, art, music > Education > Adult education; Natural sciences, medicine, IT, technology > IT, data processing > IT; Social sciences, law, business > Business > Advertising, marketing; EDUCATION / General, BUSINESS & ECONOMICS / Business Communication / General, BUSINESS & ECONOMICS / Education, BUSINESS & ECONOMICS / Statistics, EDUCATION / Computers & Technology, EDUCATION / Statistics, EDUCATION / Distance, Open & Online Education, EDUCATION / Non-Formal Education, Information visualization, Databases, COMPUTERS / Data Science / Data Visualization, EDUCATION / Teaching / General, Databases / Data management