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Data Visualization

A Successful Design Process

Author: Andy Kirk

Publisher: Packt Publishing Ltd

ISBN:

Category: Computers

Page: 206

View: 283

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. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.

Handbook of Data Visualization

Author: Chun-houh Chen

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 936

View: 750

Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.

Data Visualization, Part 2

New Directions for Evaluation, Number 140

Author: Tarek Azzam

Publisher: John Wiley & Sons

ISBN:

Category: Computers

Page: 96

View: 299

This issue delivers concrete suggestions for optimally using data visualization in evaluation, as well as suggestions for best practices in data visualization design. It focuses on specific quantitative and qualitative data visualization approaches that include data dashboards, graphic recording, and geographic information systems (GIS). Readers will get a step-by-step process for designing an effective data dashboard system for programs and organizations, and various suggestions to improve their utility. The next section illustrates the role that graphic recording can play in helping programs and evaluators understand and communicate the mission and impact that an intervention is having in a democratic and culturally competent way. The GIS section provides specific examples of how mapped data can be used to understand program implementation and effectiveness, and the influence that the environment has on these outcomes. Discusses best practices that inform and shape our data visualization design choices Highlights the best use of each tool/approach Provides suggestions for effective practice Discuss the strengths and limitations of each approach in evaluation practice This is the 140th volume of the Jossey-Bass quarterly report series New Directions for Evaluation, an official publication of the American Evaluation Association.

Storytelling with Data

A Data Visualization Guide for Business Professionals

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 288

View: 511

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!

Designing Data Visualizations

Representing Informational Relationships

Author: Julie Steele

Publisher: "O'Reilly Media, Inc."

ISBN:

Category: Computers

Page: 93

View: 271

"Intentional communcation from data to display"--Cover.

Big Data Visualization

Author: James Miller

Publisher:

ISBN:

Category:

Page: 404

View: 114

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualizationAbout 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 wayWho This Book Is ForThis 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 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 most suited visualization techniques for big dataIn DetailWhen 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 to improve better decision making.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 how to visualize data in real time and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics, the work arounds to typical big data visualization challenges, and the most popular libraries that work with big data.The choice of visualizations depends on the most suited visualization techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques that are most suited for big data. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data can be visualized. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI.

Data Visualization: Representing Information on Modern Web

Author: Andy Kirk

Publisher: Packt Publishing Ltd

ISBN:

Category: Computers

Page: 531

View: 174

Unleash the power of data by creating interactive, engaging, and compelling visualizations for the web About This Book Get a portable, versatile, and flexible data visualization design approach that will help you navigate the complex path towards success Get thorough explanation of the many visual variables and visualization taxonomy to provide you with a menu of creative options A comprehensive and contemporary introduction to data-driven visualization design and the most effective approaches to designing impact-maximizing and cognition-amplifying visualizations Who This Book Is For This course is for developers who are excited about data and who want to share that excitement with others and it will be handy for the web developers or data scientists who want to create interactive visualizations for the web. Prior knowledge of developing web applications is required. You should have a working knowledge of both JavaScript and HTML. What You Will Learn Harness the power of D3 by building interactive and real-time data-driven web visualizations Find out how to use JavaScript to create compelling visualizations of social data Identify the purpose of your visualization and your project's parameters to determine overriding design considerations across your project's execution Apply critical thinking to visualization design and get intimate with your dataset to identify its potential visual characteristics Explore the various features of HTML5 to design creative visualizations Discover what data is available on Stack Overflow, Facebook, Twitter, and Google+ Gain a solid understanding of the common D3 development idioms Find out how to write basic D3 code for server using Node.js 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. This learning path is divided into three modules. The first module will equip you with the key techniques required to overcome contemporary data visualization challenges. After getting familiar with key concepts of data visualization, it's time to incorporate it with various technologies. In the second module, Social Data Visualization with HTML5 and JavaScript, it teaches you how to leverage HTML5 techniques through JavaScript to build visualizations. It also clears up how the often complicated OAuth protocol works to help you unlock a universe of social media data from sites such as Twitter, Facebook, and Google+. Once you are familiar with the concepts of incorporating data visualization with HTML5 and JavaScript, third module, Learning d3.js Data Visualization, will lead you to D3, which has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. This module provides a strong foundation in designing compelling web visualizations with D3.js. By the end of this course, you will have unlocked the mystery behind successful data visualizations. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Data Visualization: a successful design process by Andy Kirk Social Data Visualization with HTML5 and JavaScript by Simon Timms Learning d3.js Data Visualization, Second Edition by Ǯdrew Rininsland and Swizec Teller Style and approach This course includes all the resources that will help you jump into creating interactive and engaging visualizations for the web. Through this comprehensive course, you'll learn how to create engaging visualizations for the web to represent your data from start to finish!

Data Visualization with Python and JavaScript

Scrape, Clean, Explore & Transform Your Data

Author: Kyran Dale

Publisher: "O'Reilly Media, Inc."

ISBN:

Category: Computers

Page: 592

View: 412

Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations. As a working example, throughout the book Dale walks you through transforming Wikipedia’s table-based list of Nobel Prize winners into an interactive visualization. You’ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript’s D3 library. If you’re ready to create your own web-based data visualizations—and know either Python or JavaScript— this is the book for you. Learn how to manipulate data with Python Understand the commonalities between Python and JavaScript Extract information from websites by using Python’s web-scraping tools, BeautifulSoup and Scrapy Clean and explore data with Python’s Pandas, Matplotlib, and Numpy libraries Serve data and create RESTful web APIs with Python’s Flask framework Create engaging, interactive web visualizations with JavaScript’s D3 library

Data Visualization

Principles and Practice, Second Edition

Author: Alexandru C. Telea

Publisher: CRC Press

ISBN:

Category: Computers

Page: 617

View: 572

Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more. Focusing on those techniques and methods with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a wide variety of applications of data visualizations, illustrating the range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics. It covers a wide range of sub-topics in data visualization: data representation; visualization of scalar, vector, tensor, and volumetric data; image processing and domain modeling techniques; and information visualization. See What’s New in the Second Edition: Additional visualization algorithms and techniques New examples of combined techniques for diffusion tensor imaging (DTI) visualization, illustrative fiber track rendering, and fiber bundling techniques Additional techniques for point-cloud reconstruction Additional advanced image segmentation algorithms Several important software systems and libraries Algorithmic and software design issues are illustrated throughout by (pseudo)code fragments written in the C++ programming language. Exercises covering the topics discussed in the book, as well as datasets and source code, are also provided as additional online resources.

Data Visualization For Dummies

Author: Mico Yuk

Publisher: John Wiley & Sons

ISBN:

Category: Computers

Page: 256

View: 609

A straightforward, full-color guide to showcasing data soyour audience can see what you mean, not just read about it Big data is big news! Every company, industry, not-for-profit,and government agency wants and needs to analyze and leveragedatasets that can quickly become ponderously large. Datavisualization software enables different industries to presentinformation in ways that are memorable and relevant to theirmission. This full-color guide introduces you to a variety of waysto handle and synthesize data in much more interesting ways thanmere columns and rows of numbers. Learn meaningful ways to show trending and relationships, how toconvey complex data in a clear, concise diagram, ways to createeye-catching visualizations, and much more! Effective data analysis involves learning how to synthesizedata, especially big data, into a story and present that story in away that resonates with the audience This full-color guide shows you how to analyze large amounts ofdata, communicate complex data in a meaningful way, and quicklyslice data into various views Explains how to automate redundant reporting and analyses,create eye-catching visualizations, and use statistical graphicsand thematic cartography Enables you to present vast amounts of data in ways that won'toverwhelm your audience Part technical manual and part analytical guidebook, DataVisualization For Dummies is the perfect tool for transformingdull tables and charts into high-impact visuals your audience willnotice...and remember.

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