Graphs Don T Lie
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Graphs Don T Lie
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Author : Lee Baker
language : en
Publisher: Lee Baker
Release Date :
Graphs Don T Lie written by Lee Baker and has been published by Lee Baker this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
**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!
How Charts Lie Getting Smarter About Visual Information
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Author : Alberto Cairo
language : en
Publisher: W. W. Norton & Company
Release Date : 2019-10-15
How Charts Lie Getting Smarter About Visual Information written by Alberto Cairo and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-15 with Business & Economics categories.
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.
How To Lie With Numbers Stats Graphs
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Author : Lee Baker
language : en
Publisher: Lee Baker
Release Date :
How To Lie With Numbers Stats Graphs written by Lee Baker and has been published by Lee Baker this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
**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!
How To Lie With Charts
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Author : Gerald E. Jones
language : en
Publisher: Lapuerta
Release Date : 2007
How To Lie With Charts written by Gerald E. Jones and has been published by Lapuerta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.
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.
How To Lie With Statistics
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Author : Darrell Huff
language : en
Publisher: W. W. Norton & Company
Release Date : 2010-12-07
How To Lie With Statistics written by Darrell Huff and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-07 with Mathematics categories.
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.
Dataviz How To Choose The Right Chart For Your Data
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Author : Lee Baker
language : en
Publisher: Lee Baker
Release Date :
Dataviz How To Choose The Right Chart For Your Data written by Lee Baker and has been published by Lee Baker this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
**DataViz: How to Choose the Right Chart for Your Data** Unlock the true potential of your data with "DataViz: How to Choose the Right Chart for Your Data." This friendly, chatty, and slightly technical guide will transform the way you present information, making your data visualizations clear, engaging, and impactful. **Why this book is perfect for you:** - **Engage your audience:** Learn how to create charts that captivate and communicate effectively. - **Maximize clarity:** Understand which data belongs on which axis for maximum clarity. - **Choose the right chart:** Discover the ideal chart types for various data sets, ensuring you always pick the best one. - **Perfect your style:** Get tips on styling your charts to make them visually appealing and easy to understand. - **Critical review skills:** Learn how to review your charts critically, removing unnecessary elements and enhancing readability. - **Big Picture Flowchart:** Use our Ultra-High-Definition flowchart to guarantee you select the right chart every time. - **Boost your confidence:** By the end of this guide, you’ll know more about plotting charts than most of your peers. Creating effective data visualizations is crucial in fields like Data Science, business intelligence, and statistics. A well-crafted chart can convey complex information clearly and inspire action. Unfortunately, many struggle with this skill, resulting in charts that fail to engage. In "DataViz: How to Choose the Right Chart for Your Data," award-winning author and data visualization expert Lee Baker takes you through the essentials of chart creation. You'll start with the basics, learning about different graph types and which data belongs on which axis. Then, you’ll explore various chart options, understanding when and how to use each one. You'll also dive into the art of chart styling, learning how to review your charts with a critical eye and make necessary adjustments. Our exclusive DataViz – The Big Picture flowchart provides a comprehensive guide to selecting the perfect chart every time, ensuring your data is presented in the most effective way possible. Whether you’re preparing a study, presentation, thesis, or any other data-driven project, this book will equip you with the skills to create inspirational and effective graphics, regardless of your audience. Ready to become a data visualization pro? Grab your copy of "DataViz: How to Choose the Right Chart for Your Data" today and start transforming your data into compelling stories!
Graphs Digraphs Fourth Edition
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Author : Gary Chartrand
language : en
Publisher: CRC Press
Release Date : 2004-10-28
Graphs Digraphs Fourth Edition written by Gary Chartrand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-28 with Mathematics categories.
With a growing range of applications in fields from computer science to chemistry and communications networks, graph theory has enjoyed a rapid increase of interest and widespread recognition as an important area of mathematics. Through more than 20 years of publication, Graphs & Digraphs has remained a popular point of entry to the field, and through its various editions, has evolved with the field from a purely mathematical treatment to one that also addresses the mathematical needs of computer scientists. Carefully updated, streamlined, and enhanced with new features, Graphs & Digraphs, Fourth Edition reflects many of the developments in graph theory that have emerged in recent years. The authors have added discussions on topics of increasing interest, deleted outdated material, and judiciously augmented the Exercises sections to cover a range of problems that reach beyond the construction of proofs. New in the Fourth Edition: Expanded treatment of Ramsey theory Major revisions to the material on domination and distance New material on list colorings that includes interesting recent results A solutions manual covering many of the exercises available to instructors with qualifying course adoptions A comprehensive bibliography including an updated list of graph theory books Every edition of Graphs & Digraphs has been unique in its reflection the subject as one that is important, intriguing, and most of all beautiful. The fourth edition continues that tradition, offering a comprehensive, tightly integrated, and up-to-date introduction that imparts an appreciation as well as a solid understanding of the material.
Numbers Don T Lie
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Author : Yago Colás
language : en
Publisher: U of Nebraska Press
Release Date : 2020-11
Numbers Don T Lie written by Yago Colás and has been published by U of Nebraska Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11 with Sports & Recreation categories.
A typical NBA game can yield approximately 2,800 statistical events in thirty-two different categories. In Numbers Don’t Lie Yago Colás started with a simple question: How did basketball analytics get from counting one stat, the final score, to counting thousands? He discovered that what we call “basketball”—rules, equipment, fundamental skills, techniques, tactics, strategies—has changed dramatically since its invention and today encompasses many different forms of play, from backyards and rec leagues to the NBA Finals. Numbers Don’t Lie explores the power of data to tell stories about ourselves and the world around us. As advanced statistical methods and big-data technologies transform sports, we now have the power to count more things in greater detail than ever before. These numbers tell us about the past, present, and future that shape how basketball is played on the floor, decisions are made in front offices, and the sport is marketed and consumed. But what is the relationship between counting and what counts, between quantification and value? In Numbers Don’t Lie Colás offers a three-part history of counting in basketball. First, he recounts how big-data basketball emerged in the past twenty years, examines its current practices, and analyzes how it presents itself to the public. Colás then situates big data within the deeper social, cultural, and conceptual history of counting in basketball and beyond and proposes alternative frameworks of value with which we may take fuller stock of the impact of statistics on the sport. Ultimately, Colás challenges the putative objectivity of both quantification and academic writing by interweaving through this history a series of personal vignettes of life at the intersection of basketball, counting, and what counts.
Graph Drawing And Network Visualization
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Author : Daniel Archambault
language : en
Publisher: Springer Nature
Release Date : 2019-11-28
Graph Drawing And Network Visualization written by Daniel Archambault and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Computers categories.
This book constitutes the refereed proceedings of the 27th International Symposium on Graph Drawing and Network Visualization, GD 2019, held in Prague, Czech Republic, in September 2019. The 42 papers and 12 posters presented in this volume were carefully reviewed and selected from 113 submissions. They were organized into the following topical sections: Cartograms and Intersection Graphs, Geometric Graph Theory, Clustering, Quality Metrics, Arrangements, A Low Number of Crossings, Best Paper in Track 1, Morphing and Planarity, Parameterized Complexity, Collinearities, Topological Graph Theory, Best Paper in Track 2, Level Planarity, Graph Drawing Contest Report, and Poster Abstracts.
Storytelling With Data
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Author : Cole Nussbaumer Knaflic
language : en
Publisher: John Wiley & Sons
Release Date : 2015-10-09
Storytelling With Data written by Cole Nussbaumer Knaflic and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-09 with Mathematics categories.
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!