effective data visualization the right chart for the right data

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Effective Data Visualization

Author : Stephanie D. H. Evergreen
ISBN : 9781506303079
Genre : Social Science
File Size : 39. 42 MB
Format : PDF
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Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints—supported by research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.

Effective Data Visualization

Author : Stephanie D. H. Evergreen
ISBN : 9781506303048
Genre : Social Science
File Size : 27. 65 MB
Format : PDF, Mobi
Download : 197
Read : 542

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Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints—supported by research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.

Effective Data Visualization

Author : Stephanie D. H. Evergreen
ISBN : 1506303056
Genre : Social Science
File Size : 84. 53 MB
Format : PDF, Mobi
Download : 394
Read : 893

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Effective Data Visualization: The Right Chart for the Right Data is an easy-to-implement guide that readers can use to quickly determine the best chart type to use, and the best way to format the chart to make their research more useful. The book will include familiar and new graph types, all of which can be made easily, primarily in Excel. Stephanie D. H. Evergreen includes step-by-step instructions with screenshots, and will feature before and after examples of data displays, evaluated through the author's Data Visualization Checklist. Chapters are organized by the kind of stories that can be told about a data set, relying on common research questions and presentation intentions. The chapters will also include categorization by data purpose, using language students see in survey software, such as "rating scale" and other common data collection categories, like "demographics." Each graph will include a description of the circumstances when the graph type works and when it doesn't. In sum, readers will be able to immediately implement the ideas in the book to vastly improve their ability to communicate their data, and the book will remain a useful reference guide after the first reading.

Data At Work

Author : Jorge Camões
ISBN : 9780134268781
Genre : Business & Economics
File Size : 88. 3 MB
Format : PDF
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Information visualization is a language. Like any language, it can be used for multiple purposes. A poem, a novel, and an essay all share the same language, but each one has its own set of rules. The same is true with information visualization: a product manager, statistician, and graphic designer each approach visualization from different perspectives. Data at Work was written with you, the spreadsheet user, in mind. This book will teach you how to think about and organize data in ways that directly relate to your work, using the skills you already have. In other words, you don’t need to be a graphic designer to create functional, elegant charts: this book will show you how. Although all of the examples in this book were created in Microsoft Excel, this is not a book about how to use Excel. Data at Work will help you to know which type of chart to use and how to format it, regardless of which spreadsheet application you use and whether or not you have any design experience. In this book, you’ll learn how to extract, clean, and transform data; sort data points to identify patterns and detect outliers; and understand how and when to use a variety of data visualizations including bar charts, slope charts, strip charts, scatter plots, bubble charts, boxplots, and more. Because this book is not a manual, it never specifies the steps required to make a chart, but the relevant charts will be available online for you to download, with brief explanations of how they were created.

Presenting Data Effectively

Author : Stephanie D. H. Evergreen
ISBN : 9781483323251
Genre : Social Science
File Size : 70. 22 MB
Format : PDF, Kindle
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Make an impact with your research data! Focusing on the guiding principles of presenting data in evidence-based ways so that audiences are effectively engaged and researchers are better understood, Presenting Data Effectively offers the best communication strategies available to those working with data. With this accessible step-by-step guide, anyone—from students developing a research poster for a school project to faculty and researchers presenting data at a conference—can learn how to present and communicate their research findings in more interesting and effective ways. Author Stephanie Evergreen draws on her extensive experience in the study of research reporting, interdisciplinary evaluation, and data visualization, as well as from diverse interdisciplinary fields, including cognitive psychology, communications, and graphic design, to extract tangible and practical data-reporting communication lessons and insights. She then demonstrates how to apply those principles to the design of data presentations to make it easier for the audience to understand, remember, and use the data.

Data Visualisation

Author : Andy Kirk
ISBN : 9781473966307
Genre : Social Science
File Size : 22. 52 MB
Format : PDF, ePub
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Voted one of the 'six best books for data geeks' by The Financial Times. Read the review here. Lecturers, request your electronic inspection copy. Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

Good Charts

Author : Scott Berinato
ISBN : 9781633690714
Genre : Business & Economics
File Size : 68. 94 MB
Format : PDF, ePub, Mobi
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Dataviz—the new language of business A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication. For a long time “dataviz” was left to specialists—data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could. What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success. In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice. Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

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