How Charts Lie

Getting Smarter about Visual Information

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How Charts Lie
Alberto Cairo, Alberto Cairo
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Last edited by MARC Bot
December 10, 2022 | History

How Charts Lie

Getting Smarter about Visual Information

  • 4.0 (1 rating)
  • 8 Want to read
  • 1 Have read

A leading data visualization expert explores the negative - and positive - influences that charts have on our perception of truth.

We’ve all heard that a picture is worth a thousand words, but what if we don’t understand what we’re looking at? Social media has made charts, infographics, and diagrams ubiquitous - and easier to share than ever. While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns - or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.

Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

Publish Date
Language
English
Pages
256

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Edition Availability
Cover of: How Charts Lie
How Charts Lie: Getting Smarter about Visual Information
2020, Norton & Company Limited, W. W.
in English
Cover of: How Charts Lie
How Charts Lie: Getting Smarter about Visual Information
2019, W. W. Norton Company
Hardcover in English
Cover of: How Charts Lie
How Charts Lie: Getting Smarter about Visual Information
2019, Norton & Company, Incorporated, W. W.
in English

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Book Details


Classifications

Library of Congress
, T385.C3388 2020, T385 .C3388 2020

Edition Identifiers

Open Library
OL29490470M
ISBN 13
9780393358421
OCLC/WorldCat
1137807427

Work Identifiers

Work ID
OL20638164W

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