Edward R. Tufte Envisioning Information. The Problem. The problem is that of presenting large amounts of information in a way that is compact, accurate. Nathan R. Prestopnik, Information spaces as interactive worlds, Proceedings of John W. Stamey, Jr., Thomas L. Honeycutt, Simon Blanchard, Edward tufte. LibraryThing Review. User Review – Christina_E_Mitchell – LibraryThing. I began reading Tuft’s graphic information series in an attempt to thwart and destroy the.

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Clarity and simplicity are the complete opposite of simple-mindedness. Tufte follows up his debut classic with an even more beautiful piece of graphic art disguised as a guide to ways to display three and more dimensions on a flat surface. Finally, “Small Multiples” shows how showing multiple cases in a single data ehvisioning can be particularly effective, and “Narratives of Space and Time” approaches how to tell longer stories in data graphics.

Even the book’s ending is abrupt, as if Tufte had simply run out of examples or said all he wanted to say. Of course, you don’t know what they really mean yet, but you could probably take a guess and get really close. A gorgeous read for anyone who enjoys visualizations.

Envisioning Information

Customers who bought this item also bought. All of the information I’ve absorbed and produced could have been greatly enhanced with awareness of the concepts in Envisioning Information. Purveying the illusion of communication while sacrificing substance and informatioon content betrays a totalitarian interest rnvisioning withholding actual information.

This affects everybody’s freedom that we really DON’T think to protect by manipulating the public, voting, and whether they can protect themselves from fraudsters.

Jul 30, Andrew Thappa rated it it was amazing. If you are a seller for this product, informatoin you like to suggest updates through seller support? I suppose there are some data graphics that are redesigned by Tufte scattered around these pages, but they tend to be alterations of the prior design rather than a ground-up example of how to go from raw data to a principled finished data visualization.


So when Tufte was brought up in the book club I was happy to push for this one that I hadn’t had a tfte to read as thoroughly as I would have liked. I think I had the wrong expectations for this book, so I was left disappointed. Tuftea professor emeritus of statistics, graphic design, and political economy at Yale University has been described by The New York Times as “the Leonardo da Vinci of Data”. Darrell Huff and Edward Tufte have recognized and identified the problem of false communication, and between them give a dense, brilliant course in how to avoid it.

I appreciate his view on self exemplifying documents and the need for intelligent and beautiful design of information.

Tufte does a great job of putting the argument for meaningful envisioning of information. Envisioning Information by Edward Envisionung. Tufte argues effectively that clarity and the goal of the project should always be in the forefront of the creator’s mind, eschewing concepts that muddle that goal. If you want some perspective on designs that are both aesthetically pleasing and envisionijg some data, then this book might work for you. From my point of view, the great value of visual information is their ability to give themselves to the viewer.

Less, my friends, is often only less. However, the subject matter e.

Envisioning information / Edward R. Tufte – Details – Trove

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Great subject matter and examples; however, Tufte’s prose can become almost unreadable at times. In “Envisioning Information” Tufte also cites a lot of work envisiojing other authors about color, cartography, dance notation and much more.


This book is not really too different from Envisionlng R. English Choose a language for shopping. He uses images from other sources to show the strong and weak points in a way that makes intuitive sense; Tufte will explain why you struggle to understand a graph. But without writers who use the words with honesty and readers who know what they mean, the result can only be semantic nonsense.

While they are all beautiful books and very interesting, I can’t help wishing they had a higher usability factor.

Aug 28, Roger Wood rated it really liked it Shelves: If this book included just one use case where someone has a bunch of raw data and then Tufte walks through the six principles to see what applies and how to bring them in then that would make this book much more relevant than it is to practitioners. See and discover other items: We thrive in information-thick worlds because of our marvelous and everyday capacities to select, edit, single out, structure, highlight, group, pair, merge, harmonize, synthesize, focus, organize, condense, reduce, boil down, choose, categorized, catalog, classify, list, abstract, scan, look into, idealize, isolate, discriminate, distinguish, screen, pigeonhole, pick over, sort, integrate, blend, inspect, filter, lump, skip, smooth, chunk, average, approximate, cluster, aggregate, outline, summarize, itemize, review, dip into, flip through, browse, glance into, leaf through, skim, refine, enumerate, glean, synopsize, winnow the wheat from the chaff, and separate the sheep from the goats.

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