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David J. Hand

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Dark Data: Why What You Don’t Know Matters Illustrated Edition, Kindle Edition

by David J. Hand (Author) Format: Kindle Edition

4.3 51 ratings

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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 recognize 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.

ISBN-13

978-0691234465
Edition

Illustrated
Sticky notes

Not Enabled
Publisher

Princeton University Press
Publication date

February 18, 2020
Language

English
File size

1224 KB
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Editorial Reviews

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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. --This text refers to the paperback edition.

Product details

ASIN ‏ : ‎ B07VZWT2R2
Publisher ‏ : ‎ Princeton University Press; Illustrated edition (February 18, 2020)
Publication date ‏ : ‎ February 18, 2020
Language ‏ : ‎ English
File size ‏ : ‎ 1224 KB
Text-to-Speech ‏ : ‎ Enabled
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Enabled
Sticky notes ‏ : ‎ Not Enabled
Print length ‏ : ‎ 337 pages

Best Sellers Rank: #379,128 in Kindle Store (See Top 100 in Kindle Store)
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Customer Reviews:
4.3 51 ratings

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4.3 out of 5

51 global ratings

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Open your mind

Reviewed in the United States on August 29, 2022

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David Hand explains the pitfalls of analyzing imperfect data sets.No one can access all the facts, because it data is missing, hidden or change over time. Jumping to conclusions can be hazardous.

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Raymond A. Sowers

Good book to understand statistics

Reviewed in the United States on March 1, 2022

Verified Purchase

I listened to the audiobook and found it interesting. I just got the book. So, I am going to read it for understanding. I think there is lot to absorb.

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Jacob

A book that didn’t need to be written

Reviewed in the United States on August 22, 2020

This is not a bad book: it does not deliver misinformation, it is not poorly written and it provides plenty of historical examples of situations where data was in fact missing. But that’s about it...it’s kind of like if you opened Wikipedia to a totally random page, and then just kept clicking from one link to another for 300 pages. “Here is a situation in history where they didn’t have 100% of available data. And here’s another one. And here’s one over here. Fast forward 100 years and here’s a case where they didn’t have all of the data. Rewind 50 years and here’s another example. Here’s an example in the medical field, and here’s one in physics.” The end (no conclusions were drawn in the writing of this book).

13 people found this helpful

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Amazon Customer

Upset about the quality of the new book

Reviewed in the United States on December 16, 2020

This book isn't as bad as the last, but seriously, handle with better care! It's too close to Christmas to exchange them and that's extremely upsetting!

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Blaise F Egan

Very thought-provoking, from a master of the subject

Reviewed in the United Kingdom on May 7, 2021

Verified Purchase

Professor David Hand is a major statistician who writes useful and interesting books for audiences from the general public up to the graduate statistician expert. He write clearly and gives lots of interestim examples. This book provokes the statistical practitioner to think about the data she is *not* seeing, as a way of not falling into certain kinds of error. Very useful and interesting.

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Dark Data: Why What You Don’t Know Matters Illustrated Edition, Kindle Edition

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