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Edward Tufte

Widely considered a guru of data visualization, known for his five books on the subject and his influence on how data is communicated.

Best podcasts with Edward Tufte

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103 snips
Jan 23, 2023 • 1h 16min

224 | Edward Tufte on Data, Design, and Truth

So you have some information — how are you going to share it with and present it to the rest of the world? There has been a long history of organizing and displaying information without putting too much thought into it, but Edward Tufte has done an enormous amount to change that. Beginning with The Visual Display of Quantitative Information, and continuing to his new book Seeing With Fresh Eyes: Meaning, Space, Data, Truth, Tufte’s works have shaped how we think about charts, graphs, and other forms of presenting data. We talk about information, design, and how thinking about data reflects how we think about the world.Support Mindscape on Patreon.Edward Tufte received his Ph.D. in political science from Yale University. He has been a professor of public affairs at Princeton and of political science, statistics, and computer science at Yale, where he is currently emeritus professor. He is the founder and owner of Graphics Press, and his books have sold nearly 2 million copies worldwide. He is an active artist and sculptor, as well as a touring lecturer.Web siteYale web pageAmazon.com author pageWikipediaTwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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Aug 23, 2022 • 39min

19 | Edward Tufte and the Thinking Eye

Edward Tufte, a data visualization guru and author, shares insights from his latest book, emphasizing the concept of the 'thinking eye'—the art of observing data with fresh, unfiltered curiosity. He introduces 'vacation eyes,' the idea of seeing environments anew to unlock unique perspectives. Tufte discusses his observations of heart surgeries, blending medicine and tech innovations. He also highlights the critical role of graphical representation in bridging art and data, advocating for transparency in research practices to combat publication biases.