![cover of the book Data Visualization Made Simple: Insights Into Becoming Visual](/covers/files_200/2276000/82ec8f07f7ab9f884c9fbe2cf6e5f022-d.jpg)
Ebook: Data Visualization Made Simple: Insights Into Becoming Visual
Author: Kristen Sosulski
- Genre: Computers // Media
- Tags: Analytics, Psychology, Decision Making, Data Visualization, Statistics, Geospatial Data
- Year: 2018
- Publisher: Routledge
- Edition: Paperback
- Language: English
- pdf
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.
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.
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