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Dataviz books. Tips by NYT graphics editor Gregor Aisch

If you were ever wondering which books you should read to get started with with visualizing data, here are three books recommended by Gregor Aisch, a New York Times graphics editor. Gregor recently moved to work at the New York Times from Germany.

test“The Functional Art: An introduction to information graphics and visualization” by Alberto Cairo

This is an extremely well-written book which will help you understand the basics of information design. Alberto Cairo teaches Information Graphics and Visualization at the School of Communicationat the University of Miami since January 2012. He’s also director of the Visualization Program at UM’s Center for Computational Science. In this book, he explains what a good data visualization should look like and how information perception by the human brain defines good practices in information graphics. This is a perfect guide for beginners which shows you that visualizing information is easier than you think.

 

 

 

Снимок экрана 2014-05-04 в 20.58.06“The Wall Street Journal Guide to Information Graphics: The Dos and Don’ts of Presenting Data, Facts, and Figures” by Dona M. Wong

Dona M. Wong, a student of the information graphics pioneer Edward Tufte, helps you to get to know the work of the infographics department of Wall Street Journal. You will learn how to choose the best chart that fits your data, how to use color effectively or even how to chart currency fluctuations that affect global business. A perfect book  – not only for aspiring data journalists but for any reporter who has to do with data.

 

 

 

 

 

Снимок экрана 2014-05-04 в 20.57.57“Data Visualization: a successful design process” by Andy Kirk

This book is for those who take data really seriously. You will learn about data visualization methodology and the process of planning and developing data visualizations.One of the chapters is devoted to the data visualizations workflow and describes the roles of journalists, computer and data scientists, designers and project managers. It also describes different forms and functions of data visualization methods.

 

 

 

 

 

Originally published on Open Data Hack Day Blog.

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