Voted one of the "six best books for data geeks" by The Financial Times. Read the review here.

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Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design, and curate information into useful tools of communication, insight, and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data, and inspiring effective visual design.

Benefits of this book:

A flexible step-by-step journey that equips you to achieve great data visualization
A curated collection of classic and contemporary examples, giving illustrations of good and bad practice
Examples on every page to give creative inspiration
Illustrations of good and bad practice show you how to critically evaluate and improve your own work
Advice and experience from the best designers in the field
Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

About the Author

Andy Kirk is an Independent Data Visualisation Expert delivering a range of professional services to clients around the world as a data visualisation design consultant and prolific trainer. He is a sought-after speaker, a four-times published author, the editor of visualisingdata.com, and host of the ‘Explore Explain’ video and podcast series. He’s had over a decade experience as an adjunct lecturer positions teaching data visualisation modules on Masters programmes at a range of esteemed institutes and maintains academic activity through involvement as an external research consultant. Before finding his calling with data visualisation Andy studied at Lancaster University, graduating in 1999 with a BSc (hons) in Operational Research then commenced his working career with a series of business analysis/information management roles with organisations including CIS Insurance, West Yorkshire Police and the University of Leeds. It was whilst working at the University that he had the opportunity to undertake a Masters of Research degree (MRes) to study data visualisation, graduating with distinction in 2009 and changing the course of his career.

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