"A good visualization can communicate the nature and potential impact of ideas more powerfully than any other form of communication. For a long time, "dataviz" was left to specialists-data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could. What's more, building good charts is quickly becoming a need-to-have skill for managers-if you're not doing it, another manager is, and they're getting noticed for it, and getting credit for your company's success. In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz is where spreadsheets and word processors were in the early 1980s-on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. The book goes well beyond proffering a set of static rules for making visualizations and taps into well-established and vanguard research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create "feelings behind our eyes." Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice. Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas. This is your go-to guide for dataviz-the new language of business."-- Provided by publisher.

Includes bibliographical references and index.

Includes bibliographical references (pages 233-243) and index.

Introduction : A new language and a necessary craft -- Part I. Understand : A brief history of Dataviz: the art and science that built a new language -- When a chart hits our eyes: some science of how we see -- Part II. Create : Two questions: four types: a simple typology for chart making : Idea illustration ; Idea generation ; Visual discovery ; Everyday Dataviz -- Better charts in a couple of hours: a simple framework : Prep ; Talk and listen ; Sketch ; Prototype -- Part III. Refine : Refine to impress: getting to the "feeling behind our eyes" -- Refine to persuade: three steps to more-persuasive charts -- Persuasion or manipulation?: The blurred edge of truth -- Present to persuade: getting a good chart to their eyes and into their minds -- Visual crit: how to practice looking at (and making) good charts -- Conclusion : Keep going.

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