Learn more about CRC Press & Routledge's wonderful Data Visualization books by hearing from the authors themselves. Here the AK Peters Visualization Series editors, Tamara Munzner and Alberto Cairo, will host a series of conversational interviews with each new author to learn more about the insights they provide in their book. To explore the different types of Data Visualization through concrete examples from our books, read the Guide to Data Visualization and Resources blog post.

Episode 4: Making With Data with Samuel Huron, Till Nagel, Lora Oehlberg, and Wesley Willett

Videocast with editors Samuel Huron, Till Nagel, Lora Oehlberg, and Wesley Willett of Making with Data: Physical Design and Craft in a Data-Driven World. It's a new book in the AK Peter Visualization Series from Routledge/CRC. Conversation hosted by series co-editors Alberto Cairo and Tamara Munzner. View the author's companion website for the book here.

Making With Data edited by edited by Samuel Huron, Till Nagel, Lora Oehlberg, Wesley Willett: This book provides a snapshot of the diverse practices contemporary creators are using to produce objects, spaces, and experiences imbued with data. Across 25+ beautifully-illustrated chapters, international artists, designers, and scientists each explain the process of creating a specific data-driven piece—illustrating their practice with candid sketches, photos, and design artifacts from their own studios.

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Episode 3: Building Science Graphics with Jen Christiansen

Videocast with Jen Christiansen, author of Building Science Graphics: An Illustrated Guide to Communicating Science through Diagrams and Visualizations. It's a new book in the AK Peter Visualization Series from Routledge/CRC. Conversation hosted by series co-editors Alberto Cairo and Tamara Munzner. View the author's companion website for the book here.

Building Science Graphics by Jen Christiansen: This book was published as a practical guide to help anyone — regardless of their design experience or preferred drawing tools — create compelling and clear diagrams to convey their findings effectively using data visualization methods. The book provides a detailed process for creating graphics using evidence-based design strategies and includes step-by-step worksheets to jump-start your next project, whether that's a poster, press release, academic paper or presentation.

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Episode 2: Joyful Infographics by Nigel Holmes

Videocast with Nigel Holmes, author of Joyful Infographics, a new book in the AK Peter Visualization Series from Routledge/CRC. Conversation hosted by series co-editors Alberto Cairo and Tamara Munzner.

Joyful Infographics by Nigel Holmes: Written by a leading graphic designer in an easy-to-understand, jargon-free language, this book provides a short history of light-hearted graphics, gives nine ways to make graphics more understandable, explores the importance of the audience and demonstrates how to use performance infographics to make information come alive during presentations — even if it's about delicate, controversial or taboo subjects.

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Episode 1: Questions in Dataviz by Neil Richards

Questions in Dataviz: A Design-Driven Process for Data Visualisation will appeal to any reader with an interest in creative or unconventional data visualisation and will be especially useful for those at a beginner or intermediate level looking for inspiration and alternative ways to deploy their data visualisation skills outside of conventional business charts. 

Questions in Dataviz: A Design-Driven Process for Data Visualisation by Neil Richards: This three-part book takes readers through a unique journey of learning and creating data visualizations by posing key questions every step of the way. It encourages readers to think creatively and challenge best practices by providing beautiful visualization examples and key discussion points — as well as covering fundamental principles useful for presenting data visualization projects. It's especially helpful for those at a beginner or intermediate level seeking inspiration and alternative ways to apply their data visualization skills.

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