The Secret Language of Maps
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A highly visual exploration of diagrams and data that helps you understand how "maps" are part of everyday thinking, how they tell stories, and how they can reframe your point of view, from Stanford University's world-renowned d.school. "This book is the ultimate legend to mapping all kinds of data."-Jessica Hagy,Webby Award-winning blogger of Indexed and author of How to Be Interesting (In Ten Simple Steps) Maps aren't just geographic, they are also infographic and include all types of frameworks and diagrams. Any figure that sorts data visually and presents it spatially is a map. Maps are ways of organizing information and figuring out what's important. Even stories can be mapped! The Secret Language of Maps provides a simple framework to deconstruct existing maps and then shows you how to create your own. An embedded mystery story about a woman who investigates the disappearance of an old high school friend illustrates how to use different maps to make sense of all types of information. Colorful illustrations bring the story to life and demonstrate how the fictional character's collection of data, properly organized and "mapped," leads her to solve the mystery of her friend's disappearance. You'll learn how to gather data, organize it, and present it to an audience. You'll also learn how to view the many maps that swirl around our daily lives with a critical eye, aware of the forces that are in play for every creator.
Info We Trust
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How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts -- but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation -- what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things "in formation" to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers.
History of Information Graphics
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In the age of big data and digital distribution, when news travel ever further and faster and media outlets compete for a fleeting slice of online attention, information graphics have swept center stage. At once nuanced and neat, they distill abstract ideas, complex statistics, and cutting-edge discoveries into succinct, compelling, and masterful designs. Cartographers, programmers, statisticians, designers, scientists, and journalists have developed a new field of expertise in visualizing knowledge. This XL-sized compendium explores the history of data graphics from the Middle Ages right through to the digital era. Curated by Sandra Rendgen, some 400 milestones span astronomy, cartography, zoology, technology, and beyond. Across medieval manuscripts and parchment rolls, elaborate maps, splendid popular atlasses, and early computer-based information design, we systematically break down each work's historical context, including such highlights as Martin Waldseemüller's famous world map, the meticulous nature studies of Ernst Haeckel, and many unknown treasures. Hot on the heels of the best-selling Information Graphics and Understanding the World, this third volume fills the gap as an unprecedented reference book for data freaks, designers, historians, and anyone thirsty for knowledge. An enthralling exploration into the teachings, research, and lives of generations past.
#MakeoverMonday
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Explore different perspectives and approaches to create more effective visualizations #MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community, #MakeoverMonday features a weekly chart or graph and a dataset that community members reimagine in order to make it more effective. The results have been astounding; hundreds of people have contributed thousands of makeovers, perfectly illustrating the highly variable nature of data visualization. Different takes on the same data showed a wide variation of theme, focus, content, and design, with side-by-side comparisons throwing more- and less-effective techniques into sharp relief. This book is an extension of that project, featuring a variety of makeovers that showcase various approaches to data communication and a focus on the analytical, design and storytelling skills that have been developed through #MakeoverMonday. Paging through the makeovers ignites immediate inspiration for your own work, provides insight into different perspectives, and highlights the techniques that truly make an impact. Explore the many approaches to visual data communication Think beyond the data and consider audience, stakeholders, and message Design your graphs to be intuitive and more communicative Assess the impact of layout, color, font, chart type, and other design choices Creating visual representation of complex datasets is tricky. There's the mandate to include all relevant data in a clean, readable format that best illustrates what the data is saying--but there is also the designer's impetus to showcase a command of the complexity and create multidimensional visualizations that "look cool." #MakeoverMonday shows you the many ways to walk the line between simple reporting and design artistry to create exactly the visualization the situation requires.
From Wikipedia: This graphic represents the four datasets defined by Francis Anscombe for which some of the usual statistical properties (mean, variance, correlation and regression line) are the same, even though the datasets are different. Reference: Anscombe, Francis J. (1973) Graphs in statistical analysis. American Statistician, 27, 17–21.
A reminder about free and public tools: please be careful and cautious with the data you share with them. Dig into their privacy and data policies and err on the side of caution.