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Dark Data

Why What You Don’t Know Matters
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( 252 ratings, 28 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 explores the unseen and missing data that can skew perceptions and decisions in various fields. It delves into why some data go unnoticed and how this can impact scientific, business, and policy decisions. The book highlights the importance of identifying and understanding these gaps to make more informed choices.
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Format: Hardback
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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?

If you're intrigued by how hidden and missing information can influence our decisions, this thought-provoking exploration into the unseen world of data might captivate you. The author delves into the fascinating ways in which gaps in data can lead to surprising insights and challenges in the fields of science and nature. Perfect for those who enjoy uncovering the mysteries behind what's not immediately visible in the data-driven world.

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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 gives us 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?

Dark Data by David J. Hand has been praised for its insightful exploration of the unseen data that can distort decision-making and understanding in various fields, such as science and policy. Reviewers highlight Hand's engaging and accessible writing style, as well as his ability to illuminate complex issues surrounding missing or misinterpreted data. The book is commended for its practical advice on recognising and addressing biases in data and for its thought-provoking analysis of a significant problem in data analysis. Overall, it's considered an essential read for those interested in data science and its real-world implications.

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Book Details

INFORMATION

ISBN: 9780691182377

Publisher: Princeton University Press

Format: Hardback

Date Published: 18 February 2020

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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