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| Author | : Dona M. Wong |
| Publisher | : W. W. Norton |
| Total Pages | : 157 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 9780393072952 |
An expert on presenting information visually provides a step-by-step guide to executing clear, concise and intelligent graphics and charts for everyone from the average PowerPoint user to the sophisticated professional.
| Author | : Dona M Wong |
| Publisher | : National Geographic Books |
| Total Pages | : 0 |
| Release | : 2013-12-17 |
| Genre | : Business & Economics |
| ISBN | : 0393347281 |
The definitive guide to the graphic presentation of information. In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn: to choose the best chart that fits your data; the most effective way to communicate with decision makers when you have five minutes of their time; how to chart currency fluctuations that affect global business; how to use color effectively; how to make a graphic “colorful” even if only black and white are available. The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.
| Author | : Nathan Yau |
| Publisher | : John Wiley & Sons |
| Total Pages | : 8 |
| Release | : 2013-03-25 |
| Genre | : Computers |
| ISBN | : 1118654935 |
A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.
| Author | : Garr Reynolds |
| Publisher | : Pearson Education |
| Total Pages | : 316 |
| Release | : 2009-04-15 |
| Genre | : Business & Economics |
| ISBN | : 0321601890 |
FOREWORD BY GUY KAWASAKI Presentation designer and internationally acclaimed communications expert Garr Reynolds, creator of the most popular Web site on presentation design and delivery on the Net — presentationzen.com — shares his experience in a provocative mix of illumination, inspiration, education, and guidance that will change the way you think about making presentations with PowerPoint or Keynote. Presentation Zen challenges the conventional wisdom of making "slide presentations" in today’s world and encourages you to think differently and more creatively about the preparation, design, and delivery of your presentations. Garr shares lessons and perspectives that draw upon practical advice from the fields of communication and business. Combining solid principles of design with the tenets of Zen simplicity, this book will help you along the path to simpler, more effective presentations.
| Author | : Ben Jones |
| Publisher | : John Wiley & Sons |
| Total Pages | : 272 |
| Release | : 2019-11-19 |
| Genre | : Business & Economics |
| ISBN | : 1119278163 |
Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.
| Author | : William S. Cleveland |
| Publisher | : Hobart Press |
| Total Pages | : 378 |
| Release | : 1993 |
| Genre | : Computers |
| ISBN | : |
| Author | : Alberto Cairo |
| Publisher | : W. W. Norton & Company |
| Total Pages | : 256 |
| Release | : 2019-10-15 |
| Genre | : Business & Economics |
| ISBN | : 1324001577 |
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. We associate charts with science and reason; the flashy visuals are both appealing and persuasive. Pie charts, maps, bar and line graphs, and scatter plots (to name a few) can better inform us, revealing patterns and trends hidden behind the numbers we encounter in our lives. In short, good charts make us smarter—if we know how to read them. However, they can also lead us astray. Charts lie in a variety of ways—displaying incomplete or inaccurate data, suggesting misleading patterns, and concealing uncertainty—or are frequently misunderstood, such as the confusing cone of uncertainty maps shown on TV every hurricane season. To make matters worse, many of us are ill-equipped to interpret the visuals that politicians, journalists, advertisers, and even our employers present each day, enabling bad actors to easily manipulate them to promote their own agendas. In How Charts Lie, data visualization expert Alberto Cairo teaches us to not only spot the lies in deceptive visuals, but also to take advantage of good ones to understand complex stories. Public conversations are increasingly propelled 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 demystifies an essential new literacy, one that will make us better equipped to navigate our data-driven world.
| Author | : Stephen McDaniel |
| Publisher | : Createspace Independent Pub |
| Total Pages | : 212 |
| Release | : 2012-04-01 |
| Genre | : Computers |
| ISBN | : 9781475212006 |
Rapid Graphs with Tableau Software 7Create Intuitive, Actionable Insights in Just 15 Days Tired of boring spreadsheets and data overload from confusing graphs? Master the art of rapid graphs with Tableau! Tableau is designed with one goal in mind, to give you the power to quickly explore and understand your data so that you can make informed decisions in a wide variety of real-world situations. After learning Tableau, you will be able to communicate your findings with audience-friendly graphs and tables. “A picture is worth a thousand words” is a common saying that is more relevant today than ever as data volumes grow and the need for easy access to answers grows more critical. From simple yet stunning graphs to vibrant multi-graph views capable of communicating incredible insights, this book covers the core of Tableau capabilities in easy-to-follow examples, updated and expanded for Version 7. Experience the scope and breadth of this powerful application in just 15 days and go beyond the traditional limits of data presentation! “A must read for anyone interested in Tableau. Clear explanations, practical advice and beautiful examples!”Elissa Fink - Chief Marketing Officer, Tableau Software “A great work- this is going to be a much-loved book.” Marc Rueter - Senior Director of Technology, Consulting and Strategy, Tableau Software “Well written, easy to use book that has something for everyone. Great resource if you are new to Tableau... but also useful tips for advanced users as well.”Bob Morrison- Founder/CEO, Quadrant Arts Education Research and Chairman at MakeMusic About the authors Stephen McDaniel Stephen is passionate about helping people understand, present and take action with their data. He is author of multiple books including "SAS® for Dummies" and has been on the Faculty of The American Marketing Association and The Data Warehouse Institute. Stephen is currently Director of Analytic Product Management at Tableau Software and Principal Analyst at Freakalytics®, LLC. Eileen McDaniel Co-founder of Freakalytics, Eileen directs the development of books and course materials. She is lead author of "The Accidental Analyst®: Show Your Data Who's Boss". This book provides a step-by-step analysis framework to help people who didn't plan on a career as an analyst, but now must analyze data quickly and effectively.
| Author | : Jay Hawkins |
| Publisher | : The Rosen Publishing Group, Inc |
| Total Pages | : 34 |
| Release | : 2013-07-15 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 1615338071 |
Science often teaches us unexpected, unusual, and counterintuitive lessons. However, some of these lessons can be rather icky. Readers will be presented with revolting and strange facts that may seem more like science fiction. A great way to get young readers interested in science.
| Author | : Paul Dourish |
| Publisher | : MIT Press |
| Total Pages | : 258 |
| Release | : 2017-05-05 |
| Genre | : Computers |
| ISBN | : 0262036207 |
An argument that the material arrangements of information—how it is represented and interpreted—matter significantly for our experience of information and information systems. Virtual entities that populate our digital experience, like e-books, virtual worlds, and online stores, are backed by the large-scale physical infrastructures of server farms, fiber optic cables, power plants, and microwave links. But another domain of material constraints also shapes digital living: the digital representations sketched on whiteboards, encoded into software, stored in databases, loaded into computer memory, and transmitted on networks. These digital representations encode aspects of our everyday world and make them available for digital processing. The limits and capacities of those representations carry significant consequences for digital society. In The Stuff of Bits, Paul Dourish examines the specific materialities that certain digital objects exhibit. He presents four case studies: emulation, the creation of a “virtual” computer inside another; digital spreadsheets and their role in organizational practice; relational databases and the issue of “the databaseable”; and the evolution of digital networking and the representational entailments of network protocols. These case studies demonstrate how a materialist account can offer an entry point to broader concerns—questions of power, policy, and polity in the realm of the digital.
