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Dark Data

Why What You Don’t Know Matters
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( 260 ratings, 29 reviews)
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Dark Data by David J. Hand is a practical guide that reveals the hidden truths behind the missing and overlooked data that shape our decisions. Drawing parallels to dark matter in the universe, Hand explores the concept of 'dark data' β€” information that is invisible but influences outcomes significantly. Through real-world examples, including the Challenger shuttle disaster and financial frauds, the book categorises the types of dark data and shows how recognising them can prevent errors and even leverage hidden insights for better decision-making in an age dominated by big data.
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Format: Paperback / softback
$5200

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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for readers interested in science, data analysis, decision-making, and the implications of incomplete information in real-world scenarios. Suitable for both professionals and curious general readers seeking a thoughtful, accessible examination of data's hidden dimensions.

Book Hero thinking about your next read

A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is composed of dark matter, invisible to us but

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

A practical guide to making good decisions in a world of missing data. In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact, the data we have are never complete and may be only the tip of the iceberg.

Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we don't see.

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand provides a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognise and control for them.

In doing so, he teaches us not only to be alert to the problems presented by the things we don't know but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions. Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Praised as a penetrating study of missing data's impact on decisions by Nature, Dark Data is described as a tour de force that is both accessible and enlightening (Irish Tech News). Reviewers highlight its clear writing style and valuable guidance on identifying biases and data gaps (Undercover Economist), making it a compelling read that challenges and expands the reader’s understanding of data's unseen influence.

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Book Details

INFORMATION

ISBN: 9780691234465

Publisher: Princeton University Press

Format: Paperback / softback

Date Published: 15 February 2022

Country: United States

Imprint: Princeton University Press

Illustration: 6 b/w illus. 6 tables.

Audience: General / adult, Tertiary education, Professional and scholarly

DIMENSIONS

Width: 140.0mm

Height: 216.0mm

Weight: 250g

Pages: 344

About the Author

David J. Hand is emeritus professor of mathematics and senior research investigator at Imperial College London, a former president of the Royal Statistical Society, and a fellow of the British Academy. His many previous books include The Improbability Principle, Measurement: A Very Short Introduction, Statistics: A Very Short Introduction, and Principles of Data Mining.

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