Linked Data Visualization
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Linked Data Visualization
Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens. This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.
Graph Analysis and Visualization
Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.
Visualizing Information with Microsoft® Office Visio® 2007 : Smart Diagrams for Business Users
Author: David Parker
language: en
Publisher: McGraw Hill Professional
Release Date: 2007-04-26
Create and distribute data-connected Microsoft Office Visio diagrams and reports Get full details on the powerful features of Microsoft Office Visio 2007 inside this comprehensive volume. Written by Visio expert David Parker, Visualizing Information with Microsoft Office Visio 2007 demonstrates how to effectively visualize, explore, and communicate complex business information. Learn to use PivotDiagrams, Data Graphics, and Smart Tags, as well as link data to shapes and create meaningful Visio documents and reports. Plus, you'll get vital security information, time-saving tips, troubleshooting techniques, and downloadable macros and code samples. Essential Skills for Database Users and Professionals Create shapes and link them to data Summarize and analyze information using PivotDiagrams Use Data Graphics, Smart Tags, and SmartShapes to reinforce information Generate robust Excel, HTML, and XML reports Create custom, reusable templates, stencils, and masters Update and enhance diagrams with Reviewer's comments and markups Integrate Visio diagrams with other Windows applications Publish and securely distribute Visio documents and summaries Extend functionality using VBA macros, add-ins, and wrapper applications