Effective Data Visualization

Author: Stephanie D. H. Evergreen
Publisher: SAGE Publications
ISBN: 9781506303079
Release Date: 2016-04-18
Genre: Social Science

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
Publisher: SAGE Publications
ISBN: 9781506303048
Release Date: 2016-05-03
Genre: Social Science

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
Publisher: SAGE Publications
ISBN: 9781506303062
Release Date: 2016-04-18
Genre: Social Science

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.

Presenting Data Effectively

Author: Stephanie D. H. Evergreen
Publisher: SAGE Publications
ISBN: 9781506353142
Release Date: 2017-04-29
Genre: Social Science

Now in striking full color, Presenting Data Effectively, Second Edition by Stephanie D. H. Evergreen shows readers how to make the research results presented in reports, slideshows, dashboards, posters, and data visualizations more interesting, engaging, and impactful. The book guides students, researchers, evaluators, and non-profit workers—anyone reporting data to an outside audience—through design choices in four primary areas: graphics, text, color, and arrangement. The Second Edition features an improved layout with larger screenshots, a review of the recent literature on data visualization, and input from a panel of graphic design experts.

Data Visualization

Author: Andy Kirk
Publisher: CreateSpace
ISBN: 1512089060
Release Date: 2015-05-08
Genre:

This book will benefit anyone who wants to discover effective, attractive ways to visually analyze and communicate data. With no special knowledge required, it's an inspirational guide that teaches through examples and illustration. A portable, versatile and flexible data visualization design approach that will help you navigate the complex path towards success Explains the many different reasons for creating visualizations and identifies the key parameters which lead to very different design options Thorough explanation of the many visual variables and visualization taxonomy to provide you with a menu of creative options In Detail Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories and key insights that are locked away. "Data Visualization: a Successful Design Process" explores the unique fusion of art and science that is data visualization; a discipline for which instinct alone is insufficient for you to succeed in enabling audiences to discover key trends, insights and discoveries from your data. This book will equip you with the key techniques required to overcome contemporary data visualization challenges. You'll discover a proven design methodology that helps you develop invaluable knowledge and practical capabilities. You'll never again settle for a default Excel chart or resort to 'fancy-looking' graphs. You will be able to work from the starting point of acquiring, preparing and familiarizing with your data, right through to concept design. Choose your 'killer' visual representation to engage and inform your audience. "Data Visualization: a Successful Design Process" will inspire you to relish any visualization project with greater confidence and bullish know-how; turning challenges into exciting design opportunities. What you will learn from this book A comprehensive and contemporary introduction to data-driven visualization design and the most effective approaches to designing impact-maximizing and cognition-amplifying visualizations. Learn about the foundation principles of design and the human visual system Identify the purpose of your visualization and your project's parameters to determine overriding design considerations across your project's execution Develop analytical questions and identify a visual narrative as you immerse yourself in your data, familiarizing with its inherent qualities Apply critical thinking to visualization design and get intimate with your dataset to identify its potential visual characteristics Appreciate the importance of an editorial approach to design and best practice approaches for tackling different data types and problem contexts An overview of the essential visualization tools and resources as well as the essentials of chart design and selection Understand the historical background and modern context of visualization with real project case studies profiling some of the most impressive and inspiring contemporary visualization projects Approach A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process.

Storytelling with Data

Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
ISBN: 9781119002260
Release Date: 2015-10-09
Genre: Mathematics

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!

Data at Work

Author: Jorge Camões
Publisher: New Riders
ISBN: 9780134268781
Release Date: 2016-04-08
Genre: Business & Economics

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.

Data Visualisation

Author: Andy Kirk
Publisher: SAGE
ISBN: 9781473966307
Release Date: 2016-06-21
Genre: Social Science

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
Publisher: Harvard Business Review Press
ISBN: 9781633690714
Release Date: 2016-04-26
Genre: Business & Economics

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.

Creating More Effective Graphs

Author: Naomi B. Robbins
Publisher: John Wiley & Sons
ISBN: 9780471698173
Release Date: 2012-01-25
Genre: Mathematics

A succinct and highly readable guide to creating effective graphs The right graph can be a powerful tool for communicating information, improving a presentation, or conveying your point in print. If your professional endeavors call for you to present data graphically, here's a book that can help you do it more effectively. Creating More Effective Graphs gives you the basic knowledge and techniques required to choose and create appropriate graphs for a broad range of applications. Using real-world examples everyone can relate to, the author draws on her years of experience in graphical data analysis and presentation to highlight some of today's most effective methods. In clear, concise language, the author answers such common questions as: What constitutes an effective graph for communicating data? How do I choose the type of graph that is best for my data? How do I recognize a misleading graph? Why do some graphs have logarithmic scales? In no time you'll graduate from bar graphs and pie charts to graphs that illuminate data like: Dot plots Box plots Scatterplots Linked micromaps Trellis displays Mosaic plots Month plots Scatterplot matrices . . . most of them requiring only inexpensive, easily downloadable software. Whether you're a novice at graphing or already use graphs in your work but want to improve them, Creating More Effective Graphs will help you develop the kind of clear, accurate, and well-designed graphs that will allow your data to be understood.

Data Visualization Presentation With Microsoft Office

Author: Valerie M. Sue
Publisher: SAGE Publications
ISBN: 9781483365169
Release Date: 2015-10-09
Genre: Social Science

Written for students, professionals, and social scientists with little or no knowledge of data visualization principles, Data Visualization & Presentation With Microsoft Office by Valerie M. Sue and Matthew T. Griffin presents step-by-step instructions for clearly and effectively presenting data using MS Office programs. Throughout the book, the focus is on turning raw, quantitative data into attractive, well-designed charts and tables that tell an accurate narrative about underlying information. Helpful illustrations, expert tips for solving common issues, and discussions about working efficiently are included to equip readers with the tools they need to engage their audience using a visual format.

Data Visualization Part 1

Author: Tarek Azzam
Publisher: John Wiley & Sons
ISBN: 9781118793404
Release Date: 2013-09-20
Genre: Education

Do you communicate data and information to stakeholders? This issue is Part 1 of a two-part series on data visualization and evaluation. In Part 1, we introduce recent developments in the quantitative and qualitative data visualization field and provide a historical perspective on data visualization, its potential role in evaluation practice, and future directions. It discusses: Quantitative visualization methods such as tree maps Sparklines Web-based interactive visualization Different types of qualitative data visualizations, along with examples in various evaluation contexts A toolography describing additional data visualization tools and software, along with their major strengths and limitations. Intended as a guidance for understanding and designing data visualizations, this issue introduces fundamental concepts and links them to daily practice. This is the 139th volume of the Jossey-Bass quarterly report series New Directions for Evaluation, an official publication of the American Evaluation Association.

Effective Data Visualization

Author: Stephanie D. H. Evergreen
Publisher: Sage Publications, Incorporated
ISBN: 1506303056
Release Date: 2016-05-17
Genre: Social Science

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 Visualization Made Simple

Author: Kristen Sosulski
Publisher: Routledge
ISBN: 9781351380768
Release Date: 2018-09-27
Genre: Business & Economics

Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.

Big Data Visualization

Author: James D. Miller
Publisher: Packt Publishing Ltd
ISBN: 9781785284168
Release Date: 2017-02-28
Genre: Computers

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Who This Book Is For This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations. What You Will Learn Understand how basic analytics is affected by big data Deep dive into effective and efficient ways of visualizing big data Get to know various approaches (using various technologies) to address the challenges of visualizing big data Comprehend the concepts and models used to visualize big data Know how to visualize big data in real time and for different use cases Understand how to integrate popular dashboard visualization tools such as Splunk and Tableau Get to know the value and process of integrating visual big data with BI tools such as Tableau Make sense of the visualization options for big data, based upon the best suited visualization techniques for big data In Detail When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations. This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore "big data oriented" tools such as Hadoop and Tableau. We will show you how data changes with different variables and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics. The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI. Style and approach With the help of insightful real-world use cases, we'll tackle data in the world of big data. The scalability and hugeness of the data makes big data visualizations different from normal data visualizations, and this book addresses all the difficulties encountered by professionals while visualizing their big data.