Author: Alberto Cairo
Publisher: W. W. Norton & Company
ISBN: 1324001577
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
A leading data visualization expert explores the negative—and positive—influences that charts have on our perception of truth. Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive—intentionally or unintentionally. To be informed citizens, we must all be able to decode and use the visual information that politicians, journalists, and even our employers present us with each day. Demystifying an essential new literacy for our data-driven world, How Charts Lie examines contemporary examples ranging from election result infographics to global GDP maps and box office record charts, as well as an updated afterword on the graphics of the COVID-19 pandemic.
Author: Gerald E. Jones
Publisher: Lapuerta
ISBN: 9781419651434
Category : Business & Economics
Languages : en
Pages : 279
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Book Description
Taking a humorous approach, How to Lie with Charts shows you how to be both ethical and wise in your design and interpretation of graphics for business presentations.
Author: Darrell Huff
Publisher: W. W. Norton & Company
ISBN: 0393070875
Category : Mathematics
Languages : en
Pages : 144
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Book Description
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Author: Lee Baker
Publisher: Lee Baker
ISBN:
Category : Business & Economics
Languages : en
Pages : 79
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Book Description
**How to Lie with Numbers, Stats & Graphs: Unveiling Deceptions in Data** Welcome to "How to Lie with Numbers, Stats & Graphs," where two of our best-selling titles, Truth, Lies & Statistics and Graphs Don't Lie, come together for an enlightening journey into the world of statistical deception. **Why You Need This Book:** - **Unmask Deceptions:** Award-winning statistician Lee Baker exposes the tricks used by politicians, corporations, and others to deceive with data. - **Clear Insights:** Learn to spot misleading statistics and graphs, empowering you to make informed decisions. - **Practical Examples:** Explore real-world scenarios where data manipulation shaped public opinion and policy. - **Empower Yourself:** Gain confidence in interpreting data accurately and critically. - **Engaging and Entertaining:** Enjoy witty anecdotes and sardonic insights that make complex concepts easy to grasp. - **Visual Learning:** Packed with visually intuitive examples that demystify statistical jargon. In "How to Lie with Numbers, Stats & Graphs," you'll delve into the fascinating realm of statistical misrepresentation. From the infamous correlation-causation fallacy to misleading graphical presentations, Lee Baker breaks down complex concepts with clarity and humor. **Blurb: Truth, Lies & Statistics** From pirates causing global warming to bizarre correlations involving cats and Mexican lemons, discover how statistics shape our perceptions and realities. Lee Baker unravels the misuse of data that fuels myths and misinformation in an engaging narrative that keeps you turning pages. **Blurb: Graphs Don't Lie** Explore scandals behind graphs, pie charts, and statistical manipulations that sway public opinion. With Lee Baker's sharp analysis, uncover how numbers can mislead and deceive, revealing the true power behind visual data representations. Written as your guide to deciphering truth from statistical fiction, "How to Lie with Numbers, Stats & Graphs" ensures there's never a dull moment in understanding data integrity. Whether you're a researcher, student, or simply curious about the deceptive world of statistics, this book equips you with the tools to navigate and scrutinize data effectively. Transform your understanding of data integrity today. Grab your copy and embark on a journey into the intriguing world of statistical deception!
Author: Lee Baker
Publisher: Lee Baker
ISBN:
Category : Education
Languages : en
Pages : 35
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Book Description
**Graphs Don’t Lie: How to Lie with Graphs and Get Away With It…** Discover the hidden world of misleading graphs with "Graphs Don’t Lie: How to Lie with Graphs and Get Away With It…" This book is your warm, friendly guide to understanding how graphs and charts can be manipulated—and how you can spot these tricks before they deceive you. Ever wondered how a pie chart can make it look like 193% of people support a candidate, or how a graph can show that 34 is smaller than 14? In this engaging and humorous book, award-winning statistician Lee Baker reveals the secrets behind graphical lies and pictorial deceits. You'll learn how numbers can be twisted to mislead and misinform, whether in political campaigns, media reports, or corporate presentations. Packed with real-world examples, "Graphs Don’t Lie" uncovers how politicians, the press, and corporations use graphs and charts to deceive their audiences. From inflated gun death statistics to misleading anti-abortion figures, this book shows you the techniques used to distort the truth and how to see through them. **Benefits of this book:** - **Spot misleading graphs:** Understand the common techniques used to manipulate visual data. - **Evaluate data critically:** Gain insights into how data can be misrepresented for political or commercial gain. - **Enhance your data literacy:** Become a savvy consumer of statistical information. - **Enjoy a humorous and engaging read:** Complex concepts are made accessible and entertaining. Written in plain English and perfect for beginners, "Graphs Don’t Lie" combines humor with instruction to keep you informed and entertained. This book will change the way you look at graphs and charts, making you more critical and discerning. Get ready to dive into the world of data visualization tricks, learn to spot fake graphs, and become skilled at understanding graphs and detecting data deceit. By identifying misleading data, you’ll become an expert in recognizing graph tricks and data misinterpretation. Be aware of media statistics deception and corporate data manipulation, and understand political graph tricks. Boost your statistical literacy and learn to see through data presentation lies. Don't be misled by deceptive visuals. Grab your copy of "Graphs Don’t Lie" today and start seeing through the lies!
Author: Jack Dougherty
Publisher: O'Reilly Media
ISBN: 9781492086000
Category :
Languages : en
Pages : 275
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Book Description
Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
ISBN: 1119621496
Category : Computers
Languages : en
Pages : 454
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Book Description
Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!
Author: Jonathan Schwabish
Publisher: Columbia University Press
ISBN: 0231550154
Category : Computers
Languages : en
Pages : 464
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Book Description
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.
Author: Carl T. Bergstrom
Publisher: Random House Trade Paperbacks
ISBN: 0525509208
Category : Political Science
Languages : en
Pages : 338
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Book Description
Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. “A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit. We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.
Author: Howard Wainer
Publisher: Princeton University Press
ISBN: 0691152675
Category : Computers
Languages : en
Pages : 264
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Book Description
From the publisher. This book explores how graphs can serve as maps to guide us when the information we have is ambiguous or incomplete. Using a visually diverse sampling of graphical display, from heartrending autobiographical displays of genocide in the Kovno ghetto to the "Pie Chart of Mystery" in a New Yorker cartoon, Wainer illustrates the many ways graphs can be used--and misused--as we try to make sense of an uncertain world. Picturing the Uncertain World takes readers on an extraordinary graphical adventure, revealing how the visual communication of data offers answers to vexing questions yet also highlights the measure of uncertainty in almost everything we do. Are cancer rates higher or lower in rural communities? How can you know how much money to sock away for retirement when you don't know when you'll die? And where exactly did nineteenth-century novelists get their ideas? These are some of the fascinating questions Wainer invites readers to consider. Along the way he traces the origins and development of graphical display, from William Playfair, who pioneered the use of graphs in the eighteenth century, to instances today where the public has been misled through poorly designed graphs.
