"Good charts : the HBR guide to making smarter, more persuasive data visualizations" is a PDF drawn from the Internet Archive and catalogued under Economics & Business for Undergraduate / College. From the source: viii, 255 pages : 19 x 25 cm "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… Slide Collection preserves the upstream link, the original creator credit and the licensing terms; download the file to use it in a classroom, study group or revision plan.
About this presentation
viii, 255 pages : 19 x 25 cm "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 (pages 233-243) and index Introduction: a new language and a necessary craft -- 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 -- Two questions -> four types: a simple typology for chart making -- Better charts in a couple of hours: a simple framework -- 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
How to study this deck
Economics slides love graphs. Before accepting any conclusion, identify the axes, the model's assumptions, and the variables held constant. The conclusion follows from the model, not from the world.
Undergraduate viewers should treat this as a scaffolding for deeper reading — the slides outline the territory, but the textbook chapters and primary sources remain the actual content.
Five questions to test your understanding
- What is the single most important claim on the first three slides, and what evidence is offered for it?
- Which slide could you remove without losing the argument? Which slide is load-bearing?
- Where does the deck switch from definitions to applications? Mark that transition.
- What would a student who already disagreed with the conclusion need to see to be convinced?
- Which two slides, if combined, would give the clearest one-slide summary of the whole deck?
Where this deck fits in the wider catalogue
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